National Government Bureau of Land Management Saves The Desert Tortoises And Confiscates Cattle on Federal Land While Beef Prices Skyrocket — Update: BLS Retreat — Videos

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Story 1: National Government Bureau of Land Management Saves The Desert Tortoises And Confiscates Cattle on Federal Land While Beef Prices Skyrocket — Videos

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Federal-Lands-States

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George Carlin -“Who Really Controls America”

Bobby Fuller I fought the law

Nevada Cattle Rancher Wins ‘Range War’ With Feds, All Cows Are Released

 

SHOCKING: Harry Reid behind This Bundy Cattle Ranch Standoff in Nevada

Cliven Bundy on Nevada Rancher standoff with feds: It’s for freedom and liberty – Lone Wolf

Showdown at Nevada Cattle Ranch

BREAKING: Feds prep for Waco style raid of Bundy Ranch

Lone Rancher ShowDown to Fight Feds for land April 9-14,Waco 2

Cliven Bundy bullied by the Fed’s

Food prices at grocery store skyrocketing

Beef Prices Skyrocketing

Land ownership in the American West

Revolution NOW in Nevada to Save Cliven Bundy

Yesterday Cliven Bundy’s friends & family Move In & Police Moved Out

We won ONE battle!

Range war 2014 Cliven D Bundy!

Cliven Bundy Under Siege, Call To Arms

The Heat is On: Desert Tortoises and Survival (Full video)

George Carlin on The Environment

Kevin Costner – OPEN RANGE – Full Movie

 

Nevada Cattle Rancher Wins ‘Range War’ With Feds

PHOTO: Federal agents clash with armed protestors over a ranchers 20-year tax fight.

 

AUTO START: ON OFF

A Nevada cattle rancher appears to have won his week-long battle with the federal government over a controversial cattle roundup that had led to the arrest of several protesters.

Cliven Bundy went head to head with the Bureau of Land Management over the removal of hundreds of his cattle from federal land, where the government said they were grazing illegally.

Bundy claims his herd of roughly 900 cattle have grazed on the land along the riverbed near Bunkerville, 80 miles northeast of Las Vegas, since 1870 and threatened a “range war” against the BLM on the Bundy Ranch website after one of his sons was arrested while protesting the removal of the cattle.

“I have no contract with the United States government,” Bundy said. “I was paying grazing fees for management and that’s what BLM was supposed to be, land managers and they were managing my ranch out of business, so I refused to pay.”

The federal government had countered that Bundy “owes the American people in excess of $1 million ” in unpaid grazing fees and “refuses to abide by the law of land, despite many opportunities over the last 20 years to do so.”

However, today the BLM said it would not enforce a court order to remove the cattle and was pulling out of the area.

“Based on information about conditions on the ground, and in consultation with law enforcement, we have made a decision to conclude the cattle gather because of our serious concern about the safety of employees and members of the public,” BLM Director Neil Kornze said.

“We ask that all parties in the area remain peaceful and law-abiding as the Bureau of Land Management and National Park Service work to end the operation in an orderly manner,” he said.

The roundup began April 5, following lengthy court proceedings dating back to 1993, federal officials said. Federal officers began impounding the first lot of cows last weekend, and Bundy responded by inviting supporters onto his land to protest the action.

“It’s not about cows, it’s about freedom,” Utah resident Yonna Winget told ABC News affiliateKTNV in Las Vegas, Nevada.

“People are getting tired of the federal government having unlimited power,” Bundy’s wife, Carol Bundy told ABC News.

By Sunday, April 6, one of Bundy’s sons, Dave Bundy, was taken into custody for refusing to disperse and resisting arrest, while hundreds of other protesters, some venturing from interstate, gathered along the road few miles from Bundy’s property in solidarity. Dave Bundy was later released.

A spokesman for the Bundy encampment told ABC News roughly 300 protesters had assembled for the protest, while a BLM representative estimated there were around 100 people.

“We want a peaceful protest, but we also want our voices heard,” said Cliven Bundy’s sister, Chrisie Marshall Bundy.

But clashes between demonstrators and authorities took a violent turn on Wednesday, with cell phone video showing some being tasered at the site, including Bundy’s son, Ammon Bundy. Two other protesters were detained, cited and later released on Thursday, according to the BLM.

As the movement grew by the day, and demonstrators rallied together, bonding by campfires at night, local protest leaders warned people not to wear camouflage and keep their weapons inside their vehicles.

Both sides said the issue is one of fairness, with the federal government maintaining that thousands of other cattle ranchers are abiding by the law by paying their annual grazing fees, while Bundy’s family and supporters say the government’s actions are threatening ranchers’ freedoms.

“It’s about the freedom of America,” said another of Bundy’s sisters, Margaret Houston. “We have to stand up and fight.

http://abcnews.go.com/US/nevada-cattle-rancher-wins-range-war-federal-government/story?id=23302610

Feds Back Down From Bundy Siege After Infowars Exposé of Chinese Land Grab

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Huge victory for property rights as establishment handed crushing defeat

Paul Joseph Watson & Alex Jones
Infowars.com
April 12, 2014

UPDATE: Feds Back Down In New Bundy Standoff, Agree to Release Cattle

The federal government backed down and ended their siege against Nevada cattle rancher Cliven Bundy less than 24 hours after an Infowars exposé connecting the land grab to Harry Reid and a Chinese-backed solar farm went viral, becoming the biggest news story on the Internet.

Last night, we revealed how the feds were using the Bureau of Land Management to bully and intimidate ranchers like Bundy, pushing them off public land in order to pave the way for lucrative “green energy” projects backed by the Communist Chinese government and linked to Nevada Senator Harry Reid.

The story went viral, taking the number one spot on the Viral News Chart website and becoming the most trafficked story on the web thanks to syndication by news powerhouse the Drudge Report.

This morning, the Sheriff of Clark County, Nevada, Douglas Gillespie, announced to thousands of Bundy supporters gathered in Bunkerville that a deal had been brokered with Cliven Bundy that would see the BLM cease its roundup of the rancher’s cattle.

A press release has already been put forth that the BLM is going to cease this operation,” stated Gillespie, to a huge roar from the crowd of Bundy supporters.

Further reports established that, “the BLM wants to proceed with the sale of the cattle already gathered during the roundup but is reportedly willing to share the revenue from the sale with Bundy.”

This represents a huge victory in the fight against big government and the federal agenda to seize public land in the name of pursuing notoriously corrupt and wasteful “green energy” projects.

It serves to remind us of the power of media spotlight and grass roots activism in affecting real change.

The victory also illustrates the increasing irrelevance and declining influence of mainstream media. The national corporate media was forced to reluctantly carry this story only in the last couple of days, before which it had already generated a firestorm of interest solely as a result of grass roots media like Infowars.com, Drudge and other burgeoning independent news outlets.

If this operation was a test on behalf of the feds of where Americans draw their line in the sand, then the outcome spells disaster for big government, which has been handed a huge defeat in the battle to restore constitutional freedoms and property rights in the face of out of control tyranny.

Facebook @ https://www.facebook.com/paul.j.watson.71
FOLLOW Paul Joseph Watson @ https://twitter.com/PrisonPlanet

*********************

Paul Joseph Watson is the editor and writer for Infowars.com and Prison Planet.com. He is the author of Order Out Of Chaos. Watson is also a host for Infowars Nightly News.

This article was posted: Saturday, April 12, 2014 at 1:19 pm

http://www.infowars.com/feds-back-down-from-bundy-siege-after-infowars-expose-of-chinese-land-grab/

US senator joins critics of federal cattle roundup

A Republican U.S. senator added his voice Wednesday to critics of a federal cattle roundup fought by a Nevada rancher who claims longstanding grazing rights on remote public rangeland about 80 miles northeast of Las Vegas

Sen. Dean Heller of Nevada said he told new U.S. Bureau of Land Management chief Neil Kornze in Washington, D.C., that law-abiding Nevadans shouldn’t be penalized by an “overreaching” agency.

Republican Gov. Brian Sandoval pointed earlier to what he called “an atmosphere of intimidation,” resulting from the roundup and said he believed constitutional rights were being trampled.

Heller said he heard from local officials, residents and the Nevada Cattlemen’s Association and remained “extremely concerned about the size of this closure and disruptions with access to roads, water and electrical infrastructure.”

The federal government has shut down a scenic but windswept area about half the size of the state of Delaware to round up about 900 cattle it says are trespassing.

BLM and National Park Service officials didn’t immediately respond Wednesday to criticisms of the roundup that started Saturday and prompted the closure of the 1,200-square-mile area through May 12.

It’s seen by some as the latest battle over state and federal land rights in a state with deep roots in those disputes, including the Sagebrush Rebellion of the 1970s and ’80s. Nevada, where various federal agencies manage or control more than 80 percent of the land, is among several Western states where ranchers have challenged federal land ownership.

The current showdown pits rancher Cliven Bundy’s claims of ancestral rights to graze his cows on open range against federal claims that the cattle are trespassing on arid and fragile habitat of the endangered desert tortoise. Bundy has said he owns about 500 branded cattle on the range and claims the other 400 targeted for roundup are his, too.

BLM and Park Service officials see threats in Bundy’s promise to “do whatever it takes” to protect his property and in his characterization that the dispute constitutes a “range war.”

U.S. Rep. Steven Horsford, D-Las Vegas, noted that BLM officials were enforcing federal court orders that Bundy remove his animals. The legal battle has been waged for decades.

Kornze, the new BLM chief, is familiar with the area. He’s a natural resource manager who grew up in Elko, Nev., and served previously as a senior adviser to Senate Democratic Majority Leader Harry Reid.

Reid aide Kristen Orthman said her boss “hopes the trespassing cattle are rounded up safely so the issue can be resolved.”

Sandoval, a former state attorney general and federal district court judge, weighed in late Tuesday after several days of media coverage about blocked roads and armed federal agents fanning out around Bundy’s ranch while contractors using helicopters and vehicles herd cows into portable pens in rugged and remote areas.

“No cow justifies the atmosphere of intimidation which currently exists nor the limitation of constitutional rights that are sacred to all Nevadans,” the governor said in a statement.

Sandoval said he was most offended that armed federal officials have tried to corral people protesting the roundup into a fenced-in “First Amendment area” south of the resort city of Mesquite.

The site “tramples upon Nevadans’ fundamental rights under the U.S. Constitution” and should be dismantled, Sandoval said.

BLM spokeswoman Kirsten Cannon and Park Service spokeswoman Christie Vanover have told reporters during daily conference calls that free-speech areas were established so agents could ensure the safety of contractors, protesters, the rancher and his supporters.

The dispute between Bundy and the federal government dates to 1993, when land managers cited concern for the federally protected tortoise and capped his herd at 150 animals on a 250-square-mile rangeland allotment. Officials later revoked Bundy’s grazing rights completely.

Cannon said Bundy racked up more than $1.1 million in unpaid grazing fees over the years while disregarding several court orders to remove his animals.

Bundy estimates the unpaid fees total about $300,000. He notes that his Mormon family’s 19th century melon farm and ranch operation in surrounding areas predates creation of the BLM in 1946.

Since the cattle roundup began Saturday, there has been one arrest.

Bundy’s son, Dave Bundy, 37, was taken into custody Sunday as he watched the roundup from State Route 170. He was released Monday with bruises on his face and a citation accusing him of refusing to disperse and resisting arrest. A court date has not been set.

His mother, Carol Bundy, alleged that her son was roughed up by BLM police.

Meanwhile, federal officials say 277 cows have been collected. Cannon said state veterinarian and brand identification officials will determine what becomes of the impounded cattle.

 

Defiant Nevada rancher faces armed federal agents in escalating confiscation standoff

A long-simmering dispute between a Nevada cattle rancher and the federalBureau of Land Management has reached a boiling point, and participants have their fingers crossed it won’t erupt into violence.

cattleranch0409newtest

Since 1993, Cliven Bundy has been battling the agency, as well as the National Park Service, the Center for Biological Diversity and the courts, to graze his cattle on 150 square miles of Gold Butte scrub land in the Lake Mead National Recreation Area. He stopped paying his grazing fees back then, saying he “fired” the Bureau of Land Management as land manager. His Mormon ancestors had tilled the unforgiving soil since 1887, long before the 1934 Taylor Grazing Act allowed the federal government to seize control, TheBlaze reported.

“I have raised cattle on that land, which is public land for the people of Clark County, all my life. Why I raise cattle there and why I can raise cattle there is because I have preemptive rights,” he asserted, explaining to TheBlaze that this includes the right to forage, too.

Furthermore, Bundy has argued that it is the United States trespassing on Clark County, Nev., land, not he, and that he is a better steward of the land. He points out that the manure from his cows fertilizes the soil, that he’s built water sources for wildlife, and that his cattle prevent the vegetation from growing overly dense and creating a fire hazard.

But environmentalists, federal officials and the courts disagree. Armed federal officials and contract cowboys have been brought in to execute a 2013 court order and remove the trespassing cattle.

“It’s high time for the BLM to do its job and give the [endangered desert] tortoises and the Gold Butte area the protection they need and are legally entitled to,” senior Center for Biological Diversity scientist Rob Mrowka told theMesquite Local News. “As the tortoises emerge from their winter sleep, they are finding their much-needed food consumed by cattle.”

Bundy’s herd also hinders the plants’ ability to recover from wildfires, tramples rare species, damages ancient American Indian cultural sites and endangers recreationists, Mrowka added.

The Bureau of Land Management website says Bundy has defied trespass laws for more than two decades, ignored rules and fees that other cattle ranchers have observed and refused “repeated attempts to resolve the matter administratively and judicially,” according to TheBlaze. While Bundy stated that he owed the BLM $300,000 in back grazing fees, spokeswoman Kirsten Cannon put the figure closer to $1.1 million.

Plus, the roundup of the approximately 900 unwelcome cattle could cost as much as $3 million. But the 68-year-old Bundy has remained unintimidated.

The Bureau of Land Management “has overstepped its boundaries by not letting me access my rights,” he said, and contended that it had inserted “200 armed officers watching our every move and stealing our cattle.” Bundy’s wife, Carol, said snipers are patrolling the family’s ranch.

Spokeswoman Cannon responded that “There are law enforcement and other personnel in place as needed to ensure that the BLM and National Park Service’s employees and contractors are able to conduct operations safely.”

Bundy has vowed to do whatever it takes to protect his property, and his 14 children and hundreds of supporters stand behind him. Dave Bundy, his son, was arrested on Sunday afternoon while attempting to film the contract cowboys at work, and cited for failing to disperse and resisting arrest.

Thus far, 234 cows have been impounded as the Bureau of Land Management has temporarily closed the public recreation area. Bundy’s plea to the Clark County Sheriff to intervene was stymied as the action fell under federal jurisdiction.

While the last rancher in southern Nevada argues “it’s a freedom issue,” federal officials are executing the “no trespassing” court mandate.

Whether violence and bloodshed can be avoided remains to be seen.

http://www.bizpacreview.com/2014/04/09/defiant-nevada-rancher-faces-armed-federal-agents-in-escalating-confiscation-standoff-111391

Armed Fed Agents and Snipers? Nevada Rancher Is Taking on the Gov’t in a Battle That’s Reaching a Breaking Point

Armed federal agents deployed last week to northeast Clark County, Nev., for what can only be described as a major escalation in a decades-long standoff between a local cattle rancher and the U.S. government.

Cliven Bundy, right, and Clance Cox, left, stand at the Bundy ranch near Bunkerville Nev. Saturday, April 5, 2014. The U.S. Bureau of Land Management started taking cattle on Saturday from rancher Bundy, who it says has been trespassing on U.S. land without required grazing permits for over 25 years. Bundy doesn't recognize federal authority on land he insists belongs to Nevada. (AP Photo/Las Vegas Review-Journal, John Locher) AP Photo/Las Vegas Review-Journal, John Locher

Cliven Bundy, the last remaining rancher in the southern Nevada county, stands in defiance of a 2013 court order demanding that he remove his cattle from public land managed by the U.S. Department of the Interior’s Bureau of Land Management.

The 67-year-old veteran rancher, who has compared the situation to similar confrontations with government officials inRuby Ridge and Waco, Texas, told TheBlaze that his family has used land in the 600,000-acre Gold Butte area since the late 1800s.

“I have raised cattle on that land, which is public land for the people of Clark County, all my life. Why I raise cattle there and why I can raise cattle there is because I have preemptive rights,” he said, explaining that among them is the right to forage.

“Who is the trespasser here? Who is the trespasser on this land? Is the United States trespassing on Clark County, Nevada, land? Or is it Cliven Bundy who is trespassing on Clark County, Nevada, land? Who’s the trespasser?”

Claiming that all other options have been exhausted, the Bureau of Land Management and the U.S. National Park Service responded to Bundy’s inflexibility on the issue by calling on federal agents and contract cowboys to restrict access to the public land and to confiscate Bundy’s “trespass cattle.”

“Cattle have been in trespass on public lands in southern Nevada for more than two decades. This is unfair to the thousands of other ranchers who graze livestock in compliance with federal laws and regulations throughout the West,” the Bureau of Land Management stated on its website about the case.

“The Bureau of Land Management and the National Park Service have made repeated attempts to resolve this matter administratively and judicially. An impoundment of cattle illegally grazing on public lands is now being conducted as a last resort,” it added.

Federal employees and contractors have so far impounded approximately 234 of Bundy’s estimated 900 “trespass cattle.”

The restrictions on the land are expected to stay in place until May 12. Earlier news reports stated that federal officials were considering auctioning the cattle to buyers in nearby counties in Utah. However, a Bureau of Land Management spokeswoman told TheBlaze Monday that the agency has no plans to ship impounded cattle for auction “in the near future.”

Embattled Bunkerville rancher Cliven Bundy, left, and his son Dave Bundy talk to a reporter on the corner of North Las Vegas Boulevard and East Stewart Avenue in downtown Las Vegas Monday, April 7, 2014. The 37-year-old Dave Bundy was taken into custody by federal agents on Sunday afternoon along state Route 170 near Mesquite. He was released Monday after being issued citations for failing to disperse and resisting arrest. The Bureau of Land Management has begun to round up what they call "trespass cattle" that rancher Cliven Bundy has been grazing in the Gold Butte area 80 miles northeast of Las Vegas.(AP Photo/Las Vegas Review-Journal, K.M. Cannon) AP Photo/Las Vegas Review-Journal, K.M. Cannon

The government’s move to assert itself in the Gold Butte area shouldn’t come as too much of a surprise considering the fact that it’s a move years in the making. In fact, the tense relationship between Bundy and federal government dates back to well before the 2013 court order.

The fight began when Bundy stopped paying the Bureau of Land Management’s grazing fees in 1993, arguing in court filings that he had no obligation to pay the agency because his Mormon ancestors had worked the land decades before the agency was formed.

Bundy claims he owes roughly $300,000 in back fees, but the federal government says it’s more than that.

“It’s a freedom issue. It’s not about cows. It’s a state rights issue.”

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“That number, the $300,00, that was a number estimated through Sept. 11, 2011,” Bureau of Land Management spokeswoman Kirsten Cannon said in a phone call with reporters Monday. “Since then, the estimated amount owed by him – so including the $300,000 – totals $1.1 million.”

In addition, the cost of removing the rancher’s cattle from the public land will cost taxpayers roughly $3 million, according to initial estimates.

The land was finally declared off-limits for cattle in 1998 and became a designated habitat for the federally protected desert tortoise. That same year, a judge ordered Bundy to remove his cattle. He refused to comply.

Contractors for the Bureau of Land Management round up cattle belonging to Cliven Bundy with a helicopter near Bunkerville, Nev. Monday, April 7, 2014. The Bureau of Land Management has begun to round up what they call "trespass cattle" that rancher Cliven Bundy has been grazing in the Gold Butte area 80 miles northeast of Las Vegas. (AP Photo/Las Vegas Review-Journal, John Locher) AP Photo/Las Vegas Review-Journal, John Locher

All throughout his decades-long struggle with the federal government, the veteran rancher has maintained that Washington has no right to order him from the land.

The Bureau of Land Management has “overstepped its boundaries by not letting me access my rights, not recognizing state’s sovereignty, and having over 200 armed officers watching our every move and stealing our cattle,” Bundy said.

The rancher’s wife, Carol, said there now appear to be snipers stationed around the family’s 150-acre ranch.

Asked about the Bundys’ sniper claim, Cannon would neither confirm nor deny the allegation.

“There are law enforcement and other personnel in place as needed to ensure that the BLM and National Park Services employees and contractors are able to conduct the operation safely,” Cannon said. “Specific operations information regarding this impoundment will not be released.”

“Who is the trespasser here? Who is the trespasser on this land?”

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But the presence of what appear to be heavily armed agents isn’t the only thing that has the Bundys on edge: Their son, Dave, was arrested and allegedly roughed up Sunday for filming federal agents while outside an area designated for First Amendment activity on the restricted property. He was held overnight.

The 37-year-old Bundy was arrested “following failure to comply with multiple requests by BLM law enforcement to leave the temporary closure area on public lands,” Cannon said. She declined to comment on the claim that he was brutally treated.

Dave Bundy was released from custody Monday and cited for refusing to disperse and resisting issuance of a citation or arrest, she added. Cannon could not explain why Dave was held overnight.

The rancher said that he hopes Clark County Sheriff Doug Gillespie intervenes soon and ends the face-off once and for all.

“The federal government has no authority here,” Bundy said. “The sheriff has the authority. All he has to say is, ‘no’ and that’ll get the federal government out of here. I think he has that much power.”

It seems unlikely at this point, however, that the sheriff will intervene, as he has opted to let federal agents handle the situation. The sheriff has in the past advised Bundy on seeking legal counsel while the sheriff has extended federal deadlines.

The sheriff’s office referred media inquiries to the Las Vegas Metropolitan Police Department, which confirmed to TheBlaze Monday that federal officials are handling the Bundy operation.

Dave Bundy, son of embattled Bunkerville rancher Cliven Bundy, to a reporter about his arrest during an interview on the corner of North Las Vegas Boulevard and East Stewart Avenue in downtown Las Vegas Monday, April 7, 2014. The 37-year-old Bundy was taken into custody by federal agents on Sunday afternoon along state Route 170 near Mesquite. He was released Monday after being issued citations for failing to disperse and resisting arrest. The Bureau of Land Management has begun to round up what they call "trespass cattle" that rancher Cliven Bundy has been grazing in the Gold Butte area 80 miles northeast of Las Vegas. (AP Photo/Las Vegas Review-Journal, K.M. Cannon) AP Photo/Las Vegas Review-Journal, K.M. Cannon

“That incident is being handled by another agency,” a Las Vegas police spokeswoman said. “It’s something we’re referring people to the BLM.”

Asked about Bundy’s claim that the sheriff’s office has ignored him, the spokeswoman added: “There’s nothing further that’s coming from this department about that incident, this operation. We’re just referring everything over to BLM. It’s not our operation. There’s no statement that has been issued about it.”

But with or without the sheriff, Bundy remains defiant.

A Bureau of Land Management ranger stands guard at the entrance of a staging area near Mesquite, Nev. Saturday, April 5, 2014. The U.S. Bureau of Land Management started taking cattle on Saturday from rancher Cliven Bundy, who it says has been trespassing on U.S. land without required grazing permits for over 25 years. Bundy doesn't recognize federal authority on land he insists belongs to Nevada. (AP Photo/Las Vegas Review-Journal, John Locher) AP Photo/Las Vegas Review-Journal, John Locher

“It’s a freedom issue. It’s not about cows. It’s a state rights issue. I really hope that we can learn and defend our liberties here and keep on fighting until the end,” he said. “I don’t when the end is going to be, but I believe that America is the greatest land in the world and it needs to be protected.”

“Our rights and liberties need to be protected and we’re going to stand for that,” he added.

 

 

Nevada Governor Blasts Feds’ ‘First Amendment Area’ in Bundy Dispute

“Constitutional rights sacred to all Nevadans”

Paul Joseph Watson

Infowars.com

April 9, 2014

Nevada Governor Brian Sandoval has inserted himself into the escalating standoff between cattle rancher Cliven Bundy and federal officials by blasting the Bureau of Land Management (BLM) over their creation of a ‘First Amendment Area’ outside of which free speech is banned.

Image: First Amendment Area (YouTube).

The ‘First Amendment Area’ set up by BLM agents is a crudely taped off piece of land inside which supporters of Bundy, who is engaged in a long running dispute with feds over grazing rights on a 600,000 acre expanse in northeastern Clark County, are allowed to express their free speech.

However, protesters have completely ignored the area, instead staging large demonstrations on Bundy’s ranch. The only presence inside the ‘First Amendment Area’ are signs which read “1st Amendment is not an area” and another that states, “Welcome to Amerika – Wake Up” alongside a hammer and sickle logo.

“Most disturbing to me is the BLM’s establishment of a ‘First Amendment Area’ that tramples upon Nevadans’ fundamental rights under the U.S. Constitution,” said Sandoval in a statement. “To that end, I have advised the BLM that such conduct is offensive to me and countless others and that the ‘First Amendment Area’ should be dismantled immediately.”

“No cow justifies the atmosphere of intimidation which currently exists nor the limitation of constitutional rights that are sacred to all Nevadans. The BLM needs to reconsider its approach to this matter and act accordingly,” asserted the Governor.

The Bundy family responded to Sandoval’s statement by saying they were disappointed that he didn’t take a more firm stance to back them in their dispute with the BLM, but they were pleased with his sentiments regarding the ‘First Amendment Area’.

“Whenever you designate an area, then you’re restricting it everywhere else. When you designate an area like that for first amendment rights, you [don't] give the people any rights. You [take them] away, and every other location,” said Ryan Bundy.

The Bundy family came face to face with the consequences of violating the free speech zone on Sunday when Dave Bundy was arrested for taking video footage from a state highway of BLM agents rounding up his family’s cattle. Video footage later proved that armed snipers had their guns trained on the family during the incident.

On Sunday, Cliven Bundy promised to launch a “range war” on federal officials after they began rounding up his cattle. Authorities are justifying the move by pointing out they are simply enforcing a 1993 rule change which prevents Bundy’s livestock from grazing on the land in order to protect the endangered desert tortoise.

Bundy and his supporters see the spat as something entirely different, portraying it as a clash between out of control big government and patriotic American family farmers.

With Bundy’s ranch under constant surveillance from armed agents ensconced inside what Ryan Bundy described as a “military compound,” some fear the standoff could lead to a Ruby Ridge or Waco-style tragedy.

http://www.infowars.com/nevada-governor-blasts-feds-first-amendment-area-in-bundy-dispute/

Wake up America,’ says family involved in BLM cattle dispute
By Faith Heaton Jolley and Dave Cawley
April 7th, 2014 @ 6:56pm

BLM1.jpg

 

 

 

 

 

 

 

 

 

 

CLARK COUNTY, Nevada — A man has been released after being arrested Sunday during an ongoing dispute over grazing rights between the Bureau of Land Management and a family in southern Nevada, and the family is calling for action.

A federal judge in Las Vegas first ordered Nevada rancher Cliven Bundy to remove his trespassing cattle in 1998, according to reports from the Associated Press. Similar orders were issued in July 2013, and again in October.

Saturday, the BLM began taking some of the 908 cattle from Bundy. The BLM says Bundy’s cattle have been trespassing on U.S. land without required grazing permits for over 25 years. However, Bundy said he doesn’t recognize federal authority on land that he says belongs to the state of Nevada.

The BLM released a statement on its website saying, “Cattle have been in trespass on public lands in Southern Nevada for more than two decades. This is unfair to the thousands of other ranchers who graze livestock in compliance with federal laws and regulations throughout the west. The Bureau of Land Management (BLM) and the National Park Service (NPS) have made repeated attempts to resolve this matter administratively and judicially.”

The situation escalated Saturday after Cliven Bundy’s son, Dave Bundy, 37, was arrested. Members of the Bundy family had gathered to film and take pictures of the removal of their cattle in an effort to document the event, according to Cliven Bundy’s daughter, Bailey Bundy Logue.

The family members had parked on the side of Nevada state Route 170, but the highway was included in the temporary closure of public lands, according to BLM representative Kirsten Cannon. Dave Bundy was arrested and cited with a criminal charge of refusing to disperse and resisting officers. Cannon said all public lands are closed within the designated closure area during the removal of the trespassing cattle.

Wake up America. Look what our ancestors fought for and we need to stand up for that. We need to realize what’s happening. They are taking everything away from us. This isn’t only about one family. This is about everyone’s family.

–Bailey Bundy Logue

Logue said Dave Bundy was taking pictures and recording on his iPad when he was asked by federal employees what he was doing. Logue said that Dave Bundy told the BLM workers that he was “exercising (his) First Amendment rights.”

“He did not resist arrest, but they continued to beat him,” Logue told KSL. “They put him on the ground and were standing on his head and had a dozen officers on top of him and dogs.”

The Bundy family was asked to leave the premises after Dave Bundy’s arrest. Logue said that there were snipers and uniformed men on the scene during the cattle impoundment.

“That’s scary,” Logue said. “I was angry, but there was nothing I can do. We were so outnumbered. With nothing but weapons of our cameras, we did our best at taking pictures. But when you’re in that situation your mind is not thinking very straight.”

Dave Bundy was released Monday afternoon. However, the Bundy family said they feel that their First Amendment rights were violated and that they were entitled to meet on state Route 170 to take pictures.

“That is against our First Amendment right,” Logue said. “They say it’s a First Amendment area, but we have rights everywhere. Since when have we had First Amendment areas? That’s not what it says in the Constitution.”

The Bundy family said they organized a rally for people to meet to support their First Amendment rights and their rights to public land. The rally was held near state Route 170 and I-15 on private land and around 100 people held a peaceful protest, Cannon said.

“We have got together hundreds of people from all over the world and they are here, not because this is about cattle,” Logue said. “We are asking people to come and stand up for their rights. We have lost all state sovereignty. I mean (it’s like) martial law in our home town, in America.”

Cannon said 134 cattle had been impounded by federal employees as of Monday afternoon, but the location will not be released during the ongoing operation. The cattle roundup was estimated to take between 21 to 30 days with further temporary closures during the operation.

“Wake up America,” Logue said. “Look what our ancestors fought for and we need to stand up for that. We need to realize what’s happening. They are taking everything away from us. This isn’t only about one family. This is about everyone’s family. This is martial law and it’s in America and so what are you going to do to have it stay out of America?”

Cliven Bundy reportedly owes the BLM and U.S. government $1 million in back grazing fees, according to Cannon.

http://www.ksl.com/index.php?nid=1070&sid=29387272&fm=most_popular

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U.S. Labor Force Increases By Over 500,000 in March as Americans Look For Jobs, U-3 Unemployment Rate 6.7 with 10.5 Million Unemployed and U-6 Unemployment Rate 12.7%! — Videos

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The Pronk Pops Show 237, April 4, 2014, Story 1: U.S. Labor Force Increases By Over 500,000 in March as Americans Look For Jobs,  U-3 Unemployment Rate 6.7 with 10.5 Million Unemployed and U-6 Unemployment Rate 12.7%! — Videos

April 4, 2014- Business News – Financial News – Stock News –NYSE — Market News 2014

U.S. Wages Stagnate as American Work Week Lengthens

U.S. March Nonfarm Payrolls Rises 192,000

Employment Level

 145,742,000

Labor Force Statistics from the Current Population Survey

Series Id:           LNS12000000 Seasonally Adjusted

Series title:        (Seas) Employment Level
Labor force status:  Employed
Type of data:        Number in thousands
Age:                 16 years and over

employment level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 136559(1) 136598 136701 137270 136630 136940 136531 136662 136893 137088 137322 137614
2001 137778 137612 137783 137299 137092 136873 137071 136241 136846 136392 136238 136047
2002 135701 136438 136177 136126 136539 136415 136413 136705 137302 137008 136521 136426
2003 137417(1) 137482 137434 137633 137544 137790 137474 137549 137609 137984 138424 138411
2004 138472(1) 138542 138453 138680 138852 139174 139556 139573 139487 139732 140231 140125
2005 140245(1) 140385 140654 141254 141609 141714 142026 142434 142401 142548 142499 142752
2006 143150(1) 143457 143741 143761 144089 144353 144202 144625 144815 145314 145534 145970
2007 146028(1) 146057 146320 145586 145903 146063 145905 145682 146244 145946 146595 146273
2008 146378(1) 146156 146086 146132 145908 145737 145532 145203 145076 144802 144100 143369
2009 142152(1) 141640 140707 140656 140248 140009 139901 139492 138818 138432 138659 138013
2010 138451(1) 138599 138752 139309 139247 139148 139179 139427 139393 139111 139030 139266
2011 139287(1) 139422 139655 139622 139653 139409 139524 139904 140154 140335 140747 140836
2012 141677(1) 141943 142079 141963 142257 142432 142272 142204 142947 143369 143233 143212
2013 143384(1) 143464 143393 143676 143919 144075 144285 144179 144270 143485 144443 144586
2014 145224(1) 145266 145742
1 : Data affected by changes in population controls.

 

Civilian Labor Force Level

156,227,000

 

Series Id:           LNS11000000
Seasonally Adjusted
Series title:        (Seas) Civilian Labor Force Level
Labor force status:  Civilian labor force
Type of data:        Number in thousands
Age:                 16 years and over

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 142267(1) 142456 142434 142751 142388 142591 142278 142514 142518 142622 142962 143248
2001 143800 143701 143924 143569 143318 143357 143654 143284 143989 144086 144240 144305
2002 143883 144653 144481 144725 144938 144808 144803 145009 145552 145314 145041 145066
2003 145937(1) 146100 146022 146474 146500 147056 146485 146445 146530 146716 147000 146729
2004 146842(1) 146709 146944 146850 147065 147460 147692 147564 147415 147793 148162 148059
2005 148029(1) 148364 148391 148926 149261 149238 149432 149779 149954 150001 150065 150030
2006 150214(1) 150641 150813 150881 151069 151354 151377 151716 151662 152041 152406 152732
2007 153144(1) 152983 153051 152435 152670 153041 153054 152749 153414 153183 153835 153918
2008 154063(1) 153653 153908 153769 154303 154313 154469 154641 154570 154876 154639 154655
2009 154210(1) 154538 154133 154509 154747 154716 154502 154307 153827 153784 153878 153111
2010 153404(1) 153720 153964 154642 154106 153631 153706 154087 153971 153631 154127 153639
2011 153198(1) 153280 153403 153566 153526 153379 153309 153724 154059 153940 154072 153927
2012 154328(1) 154826 154811 154565 154946 155134 154970 154669 155018 155507 155279 155485
2013 155699(1) 155511 155099 155359 155609 155822 155693 155435 155473 154625 155284 154937
2014 155460(1) 155724 156227
1 : Data affected by changes in population controls.

Labor Force Participation Rate

 

63.2%

 

Series Id:           LNS11300000
Seasonally Adjusted
Series title:        (Seas) Labor Force Participation Rate
Labor force status:  Civilian labor force participation rate
Type of data:        Percent or rate
Age:                 16 years and over

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 67.3 67.3 67.3 67.3 67.1 67.1 66.9 66.9 66.9 66.8 66.9 67.0
2001 67.2 67.1 67.2 66.9 66.7 66.7 66.8 66.5 66.8 66.7 66.7 66.7
2002 66.5 66.8 66.6 66.7 66.7 66.6 66.5 66.6 66.7 66.6 66.4 66.3
2003 66.4 66.4 66.3 66.4 66.4 66.5 66.2 66.1 66.1 66.1 66.1 65.9
2004 66.1 66.0 66.0 65.9 66.0 66.1 66.1 66.0 65.8 65.9 66.0 65.9
2005 65.8 65.9 65.9 66.1 66.1 66.1 66.1 66.2 66.1 66.1 66.0 66.0
2006 66.0 66.1 66.2 66.1 66.1 66.2 66.1 66.2 66.1 66.2 66.3 66.4
2007 66.4 66.3 66.2 65.9 66.0 66.0 66.0 65.8 66.0 65.8 66.0 66.0
2008 66.2 66.0 66.1 65.9 66.1 66.1 66.1 66.1 66.0 66.0 65.9 65.8
2009 65.7 65.8 65.6 65.7 65.7 65.7 65.5 65.4 65.1 65.0 65.0 64.6
2010 64.8 64.9 64.9 65.2 64.9 64.6 64.6 64.7 64.6 64.4 64.6 64.3
2011 64.2 64.2 64.2 64.2 64.2 64.0 64.0 64.1 64.2 64.1 64.1 64.0
2012 63.7 63.9 63.8 63.7 63.8 63.8 63.7 63.5 63.6 63.7 63.6 63.6
2013 63.6 63.5 63.3 63.4 63.4 63.5 63.4 63.2 63.2 62.8 63.0 62.8
2014 63.0 63.0 63.2

Unemployment Level

10,486,000

Series Id:           LNS13000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Level
Labor force status:  Unemployed
Type of data:        Number in thousands
Age:                 16 years and over

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5708 5858 5733 5481 5758 5651 5747 5853 5625 5534 5639 5634
2001 6023 6089 6141 6271 6226 6484 6583 7042 7142 7694 8003 8258
2002 8182 8215 8304 8599 8399 8393 8390 8304 8251 8307 8520 8640
2003 8520 8618 8588 8842 8957 9266 9011 8896 8921 8732 8576 8317
2004 8370 8167 8491 8170 8212 8286 8136 7990 7927 8061 7932 7934
2005 7784 7980 7737 7672 7651 7524 7406 7345 7553 7453 7566 7279
2006 7064 7184 7072 7120 6980 7001 7175 7091 6847 6727 6872 6762
2007 7116 6927 6731 6850 6766 6979 7149 7067 7170 7237 7240 7645
2008 7685 7497 7822 7637 8395 8575 8937 9438 9494 10074 10538 11286
2009 12058 12898 13426 13853 14499 14707 14601 14814 15009 15352 15219 15098
2010 14953 15121 15212 15333 14858 14483 14527 14660 14578 14520 15097 14373
2011 13910 13858 13748 13944 13873 13971 13785 13820 13905 13604 13326 13090
2012 12650 12883 12732 12603 12689 12702 12698 12464 12070 12138 12045 12273
2013 12315 12047 11706 11683 11690 11747 11408 11256 11203 11140 10841 10351
2014 10236 10459 10486

U-3 Unemployment Rate

6.7%

Series Id:           LNS14000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 4.0 4.1 4.0 3.8 4.0 4.0 4.0 4.1 3.9 3.9 3.9 3.9
2001 4.2 4.2 4.3 4.4 4.3 4.5 4.6 4.9 5.0 5.3 5.5 5.7
2002 5.7 5.7 5.7 5.9 5.8 5.8 5.8 5.7 5.7 5.7 5.9 6.0
2003 5.8 5.9 5.9 6.0 6.1 6.3 6.2 6.1 6.1 6.0 5.8 5.7
2004 5.7 5.6 5.8 5.6 5.6 5.6 5.5 5.4 5.4 5.5 5.4 5.4
2005 5.3 5.4 5.2 5.2 5.1 5.0 5.0 4.9 5.0 5.0 5.0 4.9
2006 4.7 4.8 4.7 4.7 4.6 4.6 4.7 4.7 4.5 4.4 4.5 4.4
2007 4.6 4.5 4.4 4.5 4.4 4.6 4.7 4.6 4.7 4.7 4.7 5.0
2008 5.0 4.9 5.1 5.0 5.4 5.6 5.8 6.1 6.1 6.5 6.8 7.3
2009 7.8 8.3 8.7 9.0 9.4 9.5 9.5 9.6 9.8 10.0 9.9 9.9
2010 9.7 9.8 9.9 9.9 9.6 9.4 9.5 9.5 9.5 9.5 9.8 9.4
2011 9.1 9.0 9.0 9.1 9.0 9.1 9.0 9.0 9.0 8.8 8.6 8.5
2012 8.2 8.3 8.2 8.2 8.2 8.2 8.2 8.1 7.8 7.8 7.8 7.9
2013 7.9 7.7 7.5 7.5 7.5 7.5 7.3 7.2 7.2 7.2 7.0 6.7
2014 6.6 6.7 6.7

U-6 Unemployment Rate

12.7%


Series Id:           LNS13327709
Seasonally Adjusted
Series title:        (seas) Total unemployed, plus all marginally attached workers plus total employed part time for economic reasons, as a percent of all civilian labor force plus all marginally attached workers
Labor force status:  Aggregated totals unemployed
Type of data:        Percent or rate
Age:                 16 years and over
Percent/rates:       Unemployed and mrg attached and pt for econ reas as percent of labor force plus marg attached
ear Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 7.1 7.2 7.1 6.9 7.1 7.0 7.0 7.1 7.0 6.8 7.1 6.9
2001 7.3 7.4 7.3 7.4 7.5 7.9 7.8 8.1 8.7 9.3 9.4 9.6
2002 9.5 9.5 9.4 9.7 9.5 9.5 9.6 9.6 9.6 9.6 9.7 9.8
2003 10.0 10.2 10.0 10.2 10.1 10.3 10.3 10.1 10.4 10.2 10.0 9.8
2004 9.9 9.7 10.0 9.6 9.6 9.5 9.5 9.4 9.4 9.7 9.4 9.2
2005 9.3 9.3 9.1 8.9 8.9 9.0 8.8 8.9 9.0 8.7 8.7 8.6
2006 8.4 8.4 8.2 8.1 8.2 8.4 8.5 8.4 8.0 8.2 8.1 7.9
2007 8.4 8.2 8.0 8.2 8.2 8.3 8.4 8.4 8.4 8.4 8.4 8.8
2008 9.2 9.0 9.1 9.2 9.7 10.1 10.5 10.8 11.0 11.8 12.6 13.6
2009 14.2 15.2 15.8 15.9 16.5 16.5 16.4 16.7 16.7 17.1 17.1 17.1
2010 16.7 17.0 17.1 17.2 16.6 16.4 16.4 16.5 16.8 16.6 16.9 16.6
2011 16.1 16.0 15.9 16.1 15.8 16.1 16.0 16.1 16.3 15.9 15.6 15.2
2012 15.1 15.0 14.5 14.6 14.8 14.8 14.9 14.7 14.7 14.4 14.4 14.4
2013 14.4 14.3 13.8 13.9 13.8 14.2 13.9 13.6 13.6 13.7 13.1 13.1
2014 12.7 12.6 12.7

Unemployment Rate 16-19 Years

20.9%

 

Series Id:           LNS14000012
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - 16-19 yrs.
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 to 19 years

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 12.7 13.8 13.3 12.6 12.8 12.3 13.4 14.0 13.0 12.8 13.0 13.2
2001 13.8 13.7 13.8 13.9 13.4 14.2 14.4 15.6 15.2 16.0 15.9 17.0
2002 16.5 16.0 16.6 16.7 16.6 16.7 16.8 17.0 16.3 15.1 17.1 16.9
2003 17.2 17.2 17.8 17.7 17.9 19.0 18.2 16.6 17.6 17.2 15.7 16.2
2004 17.0 16.5 16.8 16.6 17.1 17.0 17.8 16.7 16.6 17.4 16.4 17.6
2005 16.2 17.5 17.1 17.8 17.8 16.3 16.1 16.1 15.5 16.1 17.0 14.9
2006 15.1 15.3 16.1 14.6 14.0 15.8 15.9 16.0 16.3 15.2 14.8 14.6
2007 14.8 14.9 14.9 15.9 15.9 16.3 15.3 15.9 15.9 15.4 16.2 16.8
2008 17.8 16.6 16.1 15.9 19.0 19.2 20.7 18.6 19.1 20.0 20.3 20.5
2009 20.7 22.3 22.2 22.2 23.4 24.7 24.3 25.0 25.9 27.2 26.9 26.7
2010 26.0 25.6 26.2 25.4 26.5 26.0 25.9 25.6 25.8 27.3 24.8 25.3
2011 25.5 24.1 24.3 24.5 23.9 24.8 24.8 25.1 24.5 24.2 24.1 23.3
2012 23.5 23.8 24.8 24.6 24.2 23.7 23.7 24.4 23.8 23.8 23.9 24.0
2013 23.5 25.2 23.9 23.7 24.1 23.8 23.4 22.6 21.3 22.0 20.8 20.2
2014 20.7 21.4 20.9

Black Unemployment Rate

12.4%

Series Id:           LNS14000006
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - Black or African American
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over
Race:                Black or African American

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 8.2 8.1 7.4 7.0 7.7 7.8 7.7 7.9 7.3 7.3 7.3 7.4
2001 8.2 7.7 8.3 8.0 7.9 8.3 8.0 9.1 8.9 9.5 9.8 10.1
2002 10.0 9.9 10.5 10.7 10.2 10.5 9.8 9.8 9.7 9.8 10.7 11.3
2003 10.5 10.7 10.3 10.9 10.9 11.5 10.9 10.9 11.1 11.4 10.2 10.1
2004 10.4 9.7 10.3 9.8 10.1 10.2 11.0 10.5 10.3 10.8 10.7 10.7
2005 10.6 10.9 10.5 10.3 10.1 10.2 9.2 9.7 9.4 9.1 10.6 9.2
2006 8.9 9.5 9.5 9.4 8.7 8.9 9.5 8.8 9.0 8.4 8.5 8.3
2007 7.9 8.0 8.4 8.3 8.3 8.5 8.1 7.6 8.0 8.5 8.5 9.0
2008 9.1 8.4 9.2 8.6 9.6 9.4 10.0 10.6 11.3 11.4 11.5 12.1
2009 12.7 13.7 13.7 15.0 15.0 14.8 14.8 14.8 15.3 15.8 15.7 16.1
2010 16.5 16.0 16.9 16.6 15.5 15.1 15.7 15.9 16.0 15.7 16.1 15.6
2011 15.8 15.5 15.8 16.5 16.3 16.0 15.9 16.4 15.9 14.7 15.6 15.6
2012 13.6 14.0 14.1 13.2 13.6 14.1 14.2 13.9 13.5 14.2 13.3 14.0
2013 13.8 13.8 13.2 13.1 13.5 13.5 12.6 12.9 13.0 13.0 12.4 11.9
2014 12.1 12.0 12.4

Employment Situation Summary

Transmission of material in this release is embargoed until                    USDL-14-0530
8:30 a.m. (EDT) Friday, April 4, 2014

Technical information: 
  Household data:         (202) 691-6378  •  cpsinfo@bls.gov  •  www.bls.gov/cps
  Establishment data:     (202) 691-6555  •  cesinfo@bls.gov  •  www.bls.gov/ces

Media contact:	          (202) 691-5902  •  PressOffice@bls.gov


                              THE EMPLOYMENT SITUATION -- MARCH 2014


Total nonfarm payroll employment rose by 192,000 in March, and the unemployment rate
was unchanged at 6.7 percent, the U.S. Bureau of Labor Statistics reported today.
Employment grew in professional and business services, in health care, and in mining
and logging.

Household Survey Data

In March, the number of unemployed persons was essentially unchanged at 10.5 million,
and the unemployment rate held at 6.7 percent. Both measures have shown little movement
since December 2013. Over the year, the number of unemployed persons and the unemployment
rate were down by 1.2 million and 0.8 percentage point, respectively. (See table A-1.)

Among the major worker groups, the unemployment rate for adult women increased to 6.2
percent in March, and the rate for adult men decreased to 6.2 percent. The rates for
teenagers (20.9 percent), whites (5.8 percent), blacks (12.4 percent), and Hispanics
(7.9 percent) showed little or no change. The jobless rate for Asians was 5.4 percent
(not seasonally adjusted), little changed from a year earlier. (See tables A-1, A-2,
and A-3.)

The number of long-term unemployed (those jobless for 27 weeks or more), at 3.7 million,
changed little in March; these individuals accounted for 35.8 percent of the unemployed.
The number of long-term unemployed was down by 837,000 over the year. (See table A-12.)

Both the civilian labor force and total employment increased in March. The labor force
participation rate (63.2 percent) and the employment-population ratio (58.9 percent)
changed little over the month. (See table A-1.) The number of persons employed part
time for economic reasons (sometimes referred to as involuntary part-time workers) was
little changed at 7.4 million in March. These individuals were working part time because
their hours had been cut back or because they were unable to find full-time work. (See
table A-8.)

In March, 2.2 million persons were marginally attached to the labor force, little changed
from a year earlier. (The data are not seasonally adjusted.) These individuals were not
in the labor force, wanted and were available for work, and had looked for a job sometime
in the prior 12 months. They were not counted as unemployed because they had not searched
for work in the 4 weeks preceding the survey. (See table A-16.)

Among the marginally attached, there were 698,000 discouraged workers in March, down 
slightly from a year earlier. (These data are not seasonally adjusted.) Discouraged
workers are persons not currently looking for work because they believe no jobs are
available for them. The remaining 1.5 million persons marginally attached to the labor
force in March had not searched for work for reasons such as school attendance or family
responsibilities. (See table A-16.)

Establishment Survey Data

Total nonfarm payroll employment rose by 192,000 in March. Job growth averaged 183,000
per month over the prior 12 months. In March, employment grew in professional and business
services, in health care, and in mining and logging. (See table B-1.)

Professional and business services added 57,000 jobs in March, in line with its average
monthly gain of 56,000 over the prior 12 months. Within the industry, employment increased
in March in temporary help services (+29,000), in computer systems design and related
services (+6,000), and in architectural and engineering services (+5,000).

In March, health care added 19,000 jobs. Employment in ambulatory health care services
rose by 20,000, with a gain of 9,000 jobs in home health care services. Nursing care
facilities lost 5,000 jobs over the month. Job growth in health care averaged 17,000 per
month over the prior 12 months.

Employment in mining and logging rose in March (+7,000), with the bulk of the increase
occurring in support activities for mining (+5,000). Over the prior 12 months, the mining
and logging industry added an average of 3,000 jobs per month.

Employment continued to trend up in March in food services and drinking places (+30,000).
Over the past year, food services and drinking places has added 323,000 jobs.

Construction employment continued to trend up in March (+19,000). Over the past year,
construction employment has risen by 151,000.

Employment in government was unchanged in March. A decline of 9,000 jobs in federal
government was mostly offset by an increase of 8,000 jobs in local government, excluding
education. Over the past year, employment in federal government has fallen by 85,000.

Employment in other major industries, including manufacturing, wholesale trade, retail
trade, transportation and warehousing, information, and financial activities, changed
little over the month.

The average workweek for all employees on private nonfarm payrolls increased by 0.2
hour in March to 34.5 hours, offsetting a net decline over the prior 3 months. The
manufacturing workweek rose by 0.3 hour in March to 41.1 hours, and factory overtime
rose by 0.1 hour to 3.5 hours. The average workweek for production and nonsupervisory
employees on private nonfarm payrolls increased by 0.3 hour to 33.7 hours. (See
tables B-2 and B-7.)

In March, average hourly earnings for all employees on private nonfarm payrolls edged
down by 1 cent to $24.30, following a 9 cent increase in February. Over the year,
average hourly earnings have risen by 49 cents, or 2.1 percent. In March, average
hourly earnings of private-sector production and nonsupervisory employees edged down
by 2 cents to $20.47. (See tables B-3 and B-8.)

The change in total nonfarm payroll employment for January was revised from +129,000 to
+144,000, and the change for February was revised from +175,000 to +197,000. With these
revisions, employment gains in January and February were 37,000 higher than previously
reported.

_____________
The Employment Situation for April is scheduled to be released on Friday, May 2, 2014,
at 8:30 a.m. (EDT).

http://www.bls.gov/news.release/empsit.nr0.htm


Employment Situation Summary Table A. Household data, seasonally adjusted

HOUSEHOLD DATA
Summary table A. Household data, seasonally adjusted

[Numbers in thousands]
Category Mar.
2013
Jan.
2014
Feb.
2014
Mar.
2014
Change from:
Feb.
2014-
Mar.
2014

Employment status

Civilian noninstitutional population

244,995 246,915 247,085 247,258 173

Civilian labor force

155,099 155,460 155,724 156,227 503

Participation rate

63.3 63.0 63.0 63.2 0.2

Employed

143,393 145,224 145,266 145,742 476

Employment-population ratio

58.5 58.8 58.8 58.9 0.1

Unemployed

11,706 10,236 10,459 10,486 27

Unemployment rate

7.5 6.6 6.7 6.7 0.0

Not in labor force

89,896 91,455 91,361 91,030 -331

Unemployment rates

Total, 16 years and over

7.5 6.6 6.7 6.7 0.0

Adult men (20 years and over)

6.9 6.2 6.4 6.2 -0.2

Adult women (20 years and over)

6.9 5.9 5.9 6.2 0.3

Teenagers (16 to 19 years)

23.9 20.7 21.4 20.9 -0.5

White

6.7 5.7 5.8 5.8 0.0

Black or African American

13.2 12.1 12.0 12.4 0.4

Asian (not seasonally adjusted)

5.0 4.8 6.0 5.4 -

Hispanic or Latino ethnicity

9.2 8.4 8.1 7.9 -0.2

Total, 25 years and over

6.1 5.4 5.5 5.4 -0.1

Less than a high school diploma

11.1 9.6 9.8 9.6 -0.2

High school graduates, no college

7.6 6.5 6.4 6.3 -0.1

Some college or associate degree

6.4 6.0 6.2 6.1 -0.1

Bachelor’s degree and higher

3.8 3.2 3.4 3.4 0.0

Reason for unemployment

Job losers and persons who completed temporary jobs

6,321 5,407 5,448 5,489 41

Job leavers

978 818 823 815 -8

Reentrants

3,182 2,937 2,997 3,037 40

New entrants

1,304 1,184 1,229 1,169 -60

Duration of unemployment

Less than 5 weeks

2,497 2,434 2,373 2,461 88

5 to 14 weeks

2,843 2,429 2,568 2,581 13

15 to 26 weeks

1,779 1,689 1,615 1,677 62

27 weeks and over

4,576 3,646 3,849 3,739 -110

Employed persons at work part time

Part time for economic reasons

7,663 7,257 7,186 7,411 225

Slack work or business conditions

4,921 4,405 4,251 4,512 261

Could only find part-time work

2,585 2,571 2,692 2,731 39

Part time for noneconomic reasons

18,784 19,165 19,027 19,216 189

Persons not in the labor force (not seasonally adjusted)

Marginally attached to the labor force

2,326 2,592 2,303 2,168 -

Discouraged workers

803 837 755 698 -

- Over-the-month changes are not displayed for not seasonally adjusted data.
NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data.

 

 

ESTABLISHMENT DATA
Summary table B. Establishment data, seasonally adjusted
Category Mar.
2013
Jan.
2014
Feb.
2014(p)
Mar.
2014(p)

EMPLOYMENT BY SELECTED INDUSTRY
(Over-the-month change, in thousands)

Total nonfarm

141 144 197 192

Total private

164 166 188 192

Goods-producing

29 65 40 25

Mining and logging

2 6 3 7

Construction

24 51 18 19

Manufacturing

3 8 19 -1

Durable goods(1)

6 1 16 8

Motor vehicles and parts

4.1 -6.5 11.6 0.0

Nondurable goods

-3 7 3 -9

Private service-providing(1)

135 101 148 167

Wholesale trade

1.8 18.3 14.5 7.1

Retail trade

-8.7 -21.5 -1.9 21.3

Transportation and warehousing

-0.1 15.5 -5.4 7.9

Information

2 -3 -8 2

Financial activities

6 -1 9 1

Professional and business services(1)

67 49 81 57

Temporary help services

17.5 7.6 27.6 28.5

Education and health services(1)

41 16 31 34

Health care and social assistance

23.4 11.4 24.9 27.0

Leisure and hospitality

34 25 29 29

Other services

-7 4 -1 6

Government

-23 -22 9 0

WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES(2)
AS A PERCENT OF ALL EMPLOYEES

Total nonfarm women employees

49.4 49.4 49.4 49.4

Total private women employees

47.9 48.0 48.0 48.0

Total private production and nonsupervisory employees

82.6 82.6 82.7 82.7

HOURS AND EARNINGS
ALL EMPLOYEES

Total private

Average weekly hours

34.5 34.4 34.3 34.5

Average hourly earnings

$23.81 $24.22 $24.31 $24.30

Average weekly earnings

$821.45 $833.17 $833.83 $838.35

Index of aggregate weekly hours (2007=100)(3)

98.2 99.5 99.4 100.1

Over-the-month percent change

0.2 0.4 -0.1 0.7

Index of aggregate weekly payrolls (2007=100)(4)

111.5 115.0 115.3 116.1

Over-the-month percent change

0.2 0.6 0.3 0.7

HOURS AND EARNINGS
PRODUCTION AND NONSUPERVISORY EMPLOYEES

Total private

Average weekly hours

33.8 33.6 33.4 33.7

Average hourly earnings

$20.02 $20.39 $20.49 $20.47

Average weekly earnings

$676.68 $685.10 $684.37 $689.84

Index of aggregate weekly hours (2002=100)(3)

105.9 107.0 106.6 107.8

Over-the-month percent change

0.1 0.4 -0.4 1.1

Index of aggregate weekly payrolls (2002=100)(4)

141.7 145.8 146.0 147.4

Over-the-month percent change

0.2 0.6 0.1 1.0

DIFFUSION INDEX(5)
(Over 1-month span)

Total private (264 industries)

56.1 62.7 59.1 58.5

Manufacturing (81 industries)

52.5 55.6 51.9 50.0

Footnotes
(1) Includes other industries, not shown separately.
(2) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries.
(3) The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding annual average aggregate hours.
(4) The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding annual average aggregate weekly payrolls.
(5) Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal balance between industries with increasing and decreasing employment.
(p) Preliminary

 

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The Economy Still Stagnating As The 10 Million Plus Jobs Gap Continues — Videos

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Making Sense of Today’s January Jobs Report

February 7th 2014 CNBC Stock Market Squawk Box (January Jobs Report)

gdp_large

sgs-emp

non-farm-payrolls-wide-201312

Employment Level

145,224,000

Series Id:           LNS12000000
Seasonally Adjusted
Series title:        (Seas) Employment Level
Labor force status:  Employed
Type of data:        Number in thousands
Age:                 16 years and over

employment_level
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 136559(1) 136598 136701 137270 136630 136940 136531 136662 136893 137088 137322 137614
2001 137778 137612 137783 137299 137092 136873 137071 136241 136846 136392 136238 136047
2002 135701 136438 136177 136126 136539 136415 136413 136705 137302 137008 136521 136426
2003 137417(1) 137482 137434 137633 137544 137790 137474 137549 137609 137984 138424 138411
2004 138472(1) 138542 138453 138680 138852 139174 139556 139573 139487 139732 140231 140125
2005 140245(1) 140385 140654 141254 141609 141714 142026 142434 142401 142548 142499 142752
2006 143150(1) 143457 143741 143761 144089 144353 144202 144625 144815 145314 145534 145970
2007 146028(1) 146057 146320 145586 145903 146063 145905 145682 146244 145946 146595 146273
2008 146378(1) 146156 146086 146132 145908 145737 145532 145203 145076 144802 144100 143369
2009 142152(1) 141640 140707 140656 140248 140009 139901 139492 138818 138432 138659 138013
2010 138451(1) 138599 138752 139309 139247 139148 139179 139427 139393 139111 139030 139266
2011 139287(1) 139422 139655 139622 139653 139409 139524 139904 140154 140335 140747 140836
2012 141677(1) 141943 142079 141963 142257 142432 142272 142204 142947 143369 143233 143212
2013 143384(1) 143464 143393 143676 143919 144075 144285 144179 144270 143485 144443 144586
2014 145224(1)

Civilian Labor Force

155,460,000

Series Id:           LNS11000000
Seasonally Adjusted
Series title:        (Seas) Civilian Labor Force Level
Labor force status:  Civilian labor force
Type of data:        Number in thousands
Age:                 16 years and over

Civilian_Labor_Force_Level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 142267(1) 142456 142434 142751 142388 142591 142278 142514 142518 142622 142962 143248
2001 143800 143701 143924 143569 143318 143357 143654 143284 143989 144086 144240 144305
2002 143883 144653 144481 144725 144938 144808 144803 145009 145552 145314 145041 145066
2003 145937(1) 146100 146022 146474 146500 147056 146485 146445 146530 146716 147000 146729
2004 146842(1) 146709 146944 146850 147065 147460 147692 147564 147415 147793 148162 148059
2005 148029(1) 148364 148391 148926 149261 149238 149432 149779 149954 150001 150065 150030
2006 150214(1) 150641 150813 150881 151069 151354 151377 151716 151662 152041 152406 152732
2007 153144(1) 152983 153051 152435 152670 153041 153054 152749 153414 153183 153835 153918
2008 154063(1) 153653 153908 153769 154303 154313 154469 154641 154570 154876 154639 154655
2009 154210(1) 154538 154133 154509 154747 154716 154502 154307 153827 153784 153878 153111
2010 153404(1) 153720 153964 154642 154106 153631 153706 154087 153971 153631 154127 153639
2011 153198(1) 153280 153403 153566 153526 153379 153309 153724 154059 153940 154072 153927
2012 154328(1) 154826 154811 154565 154946 155134 154970 154669 155018 155507 155279 155485
2013 155699(1) 155511 155099 155359 155609 155822 155693 155435 155473 154625 155284 154937
2014 155460(1)

Labor Force Participation Rate

63.0%

Series Id:           LNS11300000
Seasonally Adjusted
Series title:        (Seas) Labor Force Participation Rate
Labor force status:  Civilian labor force participation rate
Type of data:        Percent or rate
Age:                 16 years and over

labor_participation_rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 67.3 67.3 67.3 67.3 67.1 67.1 66.9 66.9 66.9 66.8 66.9 67.0
2001 67.2 67.1 67.2 66.9 66.7 66.7 66.8 66.5 66.8 66.7 66.7 66.7
2002 66.5 66.8 66.6 66.7 66.7 66.6 66.5 66.6 66.7 66.6 66.4 66.3
2003 66.4 66.4 66.3 66.4 66.4 66.5 66.2 66.1 66.1 66.1 66.1 65.9
2004 66.1 66.0 66.0 65.9 66.0 66.1 66.1 66.0 65.8 65.9 66.0 65.9
2005 65.8 65.9 65.9 66.1 66.1 66.1 66.1 66.2 66.1 66.1 66.0 66.0
2006 66.0 66.1 66.2 66.1 66.1 66.2 66.1 66.2 66.1 66.2 66.3 66.4
2007 66.4 66.3 66.2 65.9 66.0 66.0 66.0 65.8 66.0 65.8 66.0 66.0
2008 66.2 66.0 66.1 65.9 66.1 66.1 66.1 66.1 66.0 66.0 65.9 65.8
2009 65.7 65.8 65.6 65.7 65.7 65.7 65.5 65.4 65.1 65.0 65.0 64.6
2010 64.8 64.9 64.9 65.2 64.9 64.6 64.6 64.7 64.6 64.4 64.6 64.3
2011 64.2 64.2 64.2 64.2 64.2 64.0 64.0 64.1 64.2 64.1 64.1 64.0
2012 63.7 63.9 63.8 63.7 63.8 63.8 63.7 63.5 63.6 63.7 63.6 63.6
2013 63.6 63.5 63.3 63.4 63.4 63.5 63.4 63.2 63.2 62.8 63.0 62.8
2014 63.0

Unemployment Level

10,236,000

Series Id:           LNS13000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Level
Labor force status:  Unemployed
Type of data:        Number in thousands
Age:                 16 years and over

unemployment_level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5708 5858 5733 5481 5758 5651 5747 5853 5625 5534 5639 5634
2001 6023 6089 6141 6271 6226 6484 6583 7042 7142 7694 8003 8258
2002 8182 8215 8304 8599 8399 8393 8390 8304 8251 8307 8520 8640
2003 8520 8618 8588 8842 8957 9266 9011 8896 8921 8732 8576 8317
2004 8370 8167 8491 8170 8212 8286 8136 7990 7927 8061 7932 7934
2005 7784 7980 7737 7672 7651 7524 7406 7345 7553 7453 7566 7279
2006 7064 7184 7072 7120 6980 7001 7175 7091 6847 6727 6872 6762
2007 7116 6927 6731 6850 6766 6979 7149 7067 7170 7237 7240 7645
2008 7685 7497 7822 7637 8395 8575 8937 9438 9494 10074 10538 11286
2009 12058 12898 13426 13853 14499 14707 14601 14814 15009 15352 15219 15098
2010 14953 15121 15212 15333 14858 14483 14527 14660 14578 14520 15097 14373
2011 13910 13858 13748 13944 13873 13971 13785 13820 13905 13604 13326 13090
2012 12650 12883 12732 12603 12689 12702 12698 12464 12070 12138 12045 12273
2013 12315 12047 11706 11683 11690 11747 11408 11256 11203 11140 10841 10351
2014 10236

Unemployment Rate

6.6%

Series Id:           LNS14000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over

unemployment_rate_U_3
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 4.0 4.1 4.0 3.8 4.0 4.0 4.0 4.1 3.9 3.9 3.9 3.9
2001 4.2 4.2 4.3 4.4 4.3 4.5 4.6 4.9 5.0 5.3 5.5 5.7
2002 5.7 5.7 5.7 5.9 5.8 5.8 5.8 5.7 5.7 5.7 5.9 6.0
2003 5.8 5.9 5.9 6.0 6.1 6.3 6.2 6.1 6.1 6.0 5.8 5.7
2004 5.7 5.6 5.8 5.6 5.6 5.6 5.5 5.4 5.4 5.5 5.4 5.4
2005 5.3 5.4 5.2 5.2 5.1 5.0 5.0 4.9 5.0 5.0 5.0 4.9
2006 4.7 4.8 4.7 4.7 4.6 4.6 4.7 4.7 4.5 4.4 4.5 4.4
2007 4.6 4.5 4.4 4.5 4.4 4.6 4.7 4.6 4.7 4.7 4.7 5.0
2008 5.0 4.9 5.1 5.0 5.4 5.6 5.8 6.1 6.1 6.5 6.8 7.3
2009 7.8 8.3 8.7 9.0 9.4 9.5 9.5 9.6 9.8 10.0 9.9 9.9
2010 9.7 9.8 9.9 9.9 9.6 9.4 9.5 9.5 9.5 9.5 9.8 9.4
2011 9.1 9.0 9.0 9.1 9.0 9.1 9.0 9.0 9.0 8.8 8.6 8.5
2012 8.2 8.3 8.2 8.2 8.2 8.2 8.2 8.1 7.8 7.8 7.8 7.9
2013 7.9 7.7 7.5 7.5 7.5 7.5 7.3 7.2 7.2 7.2 7.0 6.7
2014 6.6

Employment-Population Ratio

58.8%

Series Id:           LNS12300000
Seasonally Adjusted
Series title:        (Seas) Employment-Population Ratio
Labor force status:  Employment-population ratio
Type of data:        Percent or rate
Age:                 16 years and over
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 64.6 64.6 64.6 64.7 64.4 64.5 64.2 64.2 64.2 64.2 64.3 64.4
2001 64.4 64.3 64.3 64.0 63.8 63.7 63.7 63.2 63.5 63.2 63.0 62.9
2002 62.7 63.0 62.8 62.7 62.9 62.7 62.7 62.7 63.0 62.7 62.5 62.4
2003 62.5 62.5 62.4 62.4 62.3 62.3 62.1 62.1 62.0 62.1 62.3 62.2
2004 62.3 62.3 62.2 62.3 62.3 62.4 62.5 62.4 62.3 62.3 62.5 62.4
2005 62.4 62.4 62.4 62.7 62.8 62.7 62.8 62.9 62.8 62.8 62.7 62.8
2006 62.9 63.0 63.1 63.0 63.1 63.1 63.0 63.1 63.1 63.3 63.3 63.4
2007 63.3 63.3 63.3 63.0 63.0 63.0 62.9 62.7 62.9 62.7 62.9 62.7
2008 62.9 62.8 62.7 62.7 62.5 62.4 62.2 62.0 61.9 61.7 61.4 61.0
2009 60.6 60.3 59.9 59.8 59.6 59.4 59.3 59.1 58.7 58.5 58.6 58.3
2010 58.5 58.5 58.5 58.7 58.6 58.5 58.5 58.6 58.5 58.3 58.2 58.3
2011 58.4 58.4 58.4 58.4 58.4 58.2 58.2 58.3 58.4 58.4 58.5 58.5
2012 58.5 58.5 58.6 58.5 58.6 58.6 58.5 58.4 58.6 58.8 58.7 58.6
2013 58.6 58.6 58.5 58.6 58.7 58.7 58.7 58.6 58.6 58.2 58.6 58.6
2014 58.8

Unemployment Rate – 16-19 Yrs

20.7%

Series Id:           LNS14000012
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - 16-19 yrs.
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 to 19 years

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 12.7 13.8 13.3 12.6 12.8 12.3 13.4 14.0 13.0 12.8 13.0 13.2
2001 13.8 13.7 13.8 13.9 13.4 14.2 14.4 15.6 15.2 16.0 15.9 17.0
2002 16.5 16.0 16.6 16.7 16.6 16.7 16.8 17.0 16.3 15.1 17.1 16.9
2003 17.2 17.2 17.8 17.7 17.9 19.0 18.2 16.6 17.6 17.2 15.7 16.2
2004 17.0 16.5 16.8 16.6 17.1 17.0 17.8 16.7 16.6 17.4 16.4 17.6
2005 16.2 17.5 17.1 17.8 17.8 16.3 16.1 16.1 15.5 16.1 17.0 14.9
2006 15.1 15.3 16.1 14.6 14.0 15.8 15.9 16.0 16.3 15.2 14.8 14.6
2007 14.8 14.9 14.9 15.9 15.9 16.3 15.3 15.9 15.9 15.4 16.2 16.8
2008 17.8 16.6 16.1 15.9 19.0 19.2 20.7 18.6 19.1 20.0 20.3 20.5
2009 20.7 22.3 22.2 22.2 23.4 24.7 24.3 25.0 25.9 27.2 26.9 26.7
2010 26.0 25.6 26.2 25.4 26.5 26.0 25.9 25.6 25.8 27.3 24.8 25.3
2011 25.5 24.1 24.3 24.5 23.9 24.8 24.8 25.1 24.5 24.2 24.1 23.3
2012 23.5 23.8 24.8 24.6 24.2 23.7 23.7 24.4 23.8 23.8 23.9 24.0
2013 23.5 25.2 23.9 23.7 24.1 23.8 23.4 22.6 21.3 22.0 20.8 20.2
2014 20.7

Average Weeks Unemployed

35.4 Weeks

Series Id:           LNS13008275
Seasonally Adjusted
Series title:        (Seas) Average Weeks Unemployed
Labor force status:  Unemployed
Type of data:        Number of weeks
Age:                 16 years and over
average_weeks_unemployed
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 13.1 12.6 12.7 12.4 12.6 12.3 13.4 12.9 12.2 12.7 12.4 12.5
2001 12.7 12.8 12.8 12.4 12.1 12.7 12.9 13.3 13.2 13.3 14.3 14.5
2002 14.7 15.0 15.4 16.3 16.8 16.9 16.9 16.5 17.6 17.8 17.6 18.5
2003 18.5 18.5 18.1 19.4 19.0 19.9 19.7 19.2 19.5 19.3 19.9 19.8
2004 19.9 20.1 19.8 19.6 19.8 20.5 18.8 18.8 19.4 19.5 19.7 19.4
2005 19.5 19.1 19.5 19.6 18.6 17.9 17.6 18.4 17.9 17.9 17.5 17.5
2006 16.9 17.8 17.1 16.7 17.1 16.6 17.1 17.1 17.1 16.3 16.2 16.1
2007 16.3 16.7 17.8 16.9 16.6 16.5 17.2 17.0 16.3 17.0 17.3 16.6
2008 17.5 16.9 16.5 16.9 16.6 17.1 17.0 17.7 18.6 19.9 18.9 19.9
2009 19.8 20.2 20.9 21.7 22.4 23.9 25.1 25.3 26.6 27.5 28.9 29.7
2010 30.3 29.9 31.6 33.3 33.9 34.5 33.8 33.6 33.4 34.2 33.9 34.8
2011 37.2 37.5 39.2 38.7 39.5 39.7 40.4 40.2 40.2 39.1 40.3 40.7
2012 40.1 40.0 39.4 39.3 39.6 40.0 38.8 39.1 39.4 40.3 39.2 38.0
2013 35.4 36.9 37.0 36.6 36.9 35.7 36.7 37.0 36.8 36.0 37.1 37.1
2014 35.4

Median Weeks Unemployed

16.0 weeks

Series Id:           LNS13008276
Seasonally Adjusted
Series title:        (Seas) Median Weeks Unemployed
Labor force status:  Unemployed
Type of data:        Number of weeks
Age:                 16 years and over

median_weeks_unemployed

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5.8 6.1 6.0 6.1 5.8 5.7 6.0 6.3 5.2 6.1 6.1 6.0
2001 5.8 6.1 6.6 5.9 6.3 6.0 6.8 6.9 7.2 7.3 7.7 8.2
2002 8.4 8.3 8.4 8.9 9.5 11.0 8.9 9.0 9.5 9.6 9.3 9.6
2003 9.6 9.5 9.7 10.2 9.9 11.5 10.3 10.1 10.2 10.4 10.3 10.4
2004 10.6 10.2 10.2 9.5 9.9 11.0 8.9 9.2 9.6 9.5 9.7 9.5
2005 9.4 9.2 9.3 9.0 9.1 9.0 8.8 9.2 8.4 8.6 8.5 8.7
2006 8.6 9.1 8.7 8.4 8.5 7.3 8.0 8.4 8.0 7.9 8.3 7.5
2007 8.3 8.5 9.1 8.6 8.2 7.7 8.7 8.8 8.7 8.4 8.6 8.4
2008 9.0 8.7 8.7 9.4 7.9 9.0 9.7 9.7 10.2 10.4 9.8 10.5
2009 10.7 11.7 12.3 13.1 14.2 17.2 16.0 16.3 17.8 18.9 19.8 20.1
2010 20.0 19.9 20.5 22.1 22.3 25.0 22.2 20.9 20.2 21.4 21.0 22.0
2011 21.5 21.2 21.7 20.9 21.6 22.1 21.8 22.2 21.9 20.7 20.9 20.6
2012 20.9 20.0 19.6 19.2 19.8 19.8 17.2 18.2 18.7 20.0 18.6 17.8
2013 16.0 17.7 18.1 17.3 16.9 16.2 15.8 16.5 16.4 16.5 17.0 17.1
2014 16.0

Not in Labor Force, Searched for Work and Available

2,592,000

Series Id:                       LNU05026642
Not Seasonally Adjusted
Series title:                    (Unadj) Not in Labor Force, Searched For Work and Available
Labor force status:              Not in labor force
Type of data:                    Number in thousands
Age:                             16 years and over
Job desires/not in labor force:  Want a job now
Reasons not in labor force:      Available to work now
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 1207 1281 1219 1216 1113 1142 1172 1097 1166 1044 1100 1125 1157
2001 1295 1337 1109 1131 1157 1170 1232 1364 1335 1398 1331 1330 1266
2002 1532 1423 1358 1397 1467 1380 1507 1456 1501 1416 1401 1432 1439
2003 1598 1590 1577 1399 1428 1468 1566 1665 1544 1586 1473 1483 1531
2004 1670 1691 1643 1526 1533 1492 1557 1587 1561 1647 1517 1463 1574
2005 1804 1673 1588 1511 1428 1583 1516 1583 1438 1414 1415 1589 1545
2006 1644 1471 1468 1310 1388 1584 1522 1592 1299 1478 1366 1252 1448
2007 1577 1451 1385 1391 1406 1454 1376 1365 1268 1364 1363 1344 1395
2008 1729 1585 1352 1414 1416 1558 1573 1640 1604 1637 1947 1908 1614
2009 2130 2051 2106 2089 2210 2176 2282 2270 2219 2373 2323 2486 2226
2010 2539 2527 2255 2432 2223 2591 2622 2370 2548 2602 2531 2609 2487
2011 2800 2730 2434 2466 2206 2680 2785 2575 2511 2555 2591 2540 2573
2012 2809 2608 2352 2363 2423 2483 2529 2561 2517 2433 2505 2614 2516
2013 2443 2588 2326 2347 2164 2582 2414 2342 2302 2283 2096 2427 2360
2014 2592

Total Unemployment Rate U-6

12.7%

Series Id:           LNS13327709
Seasonally Adjusted
Series title:        (seas) Total unemployed, plus all marginally attached workers plus total employed part time for economic reasons, as a percent of all civilian labor force plus all marginally attached workers
Labor force status:  Aggregated totals unemployed
Type of data:        Percent or rate
Age:                 16 years and over
Percent/rates:       Unemployed and mrg attached and pt for econ reas as percent of labor force plus marg attached

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 7.1 7.2 7.1 6.9 7.1 7.0 7.0 7.1 7.0 6.8 7.1 6.9
2001 7.3 7.4 7.3 7.4 7.5 7.9 7.8 8.1 8.7 9.3 9.4 9.6
2002 9.5 9.5 9.4 9.7 9.5 9.5 9.6 9.6 9.6 9.6 9.7 9.8
2003 10.0 10.2 10.0 10.2 10.1 10.3 10.3 10.1 10.4 10.2 10.0 9.8
2004 9.9 9.7 10.0 9.6 9.6 9.5 9.5 9.4 9.4 9.7 9.4 9.2
2005 9.3 9.3 9.1 8.9 8.9 9.0 8.8 8.9 9.0 8.7 8.7 8.6
2006 8.4 8.4 8.2 8.1 8.2 8.4 8.5 8.4 8.0 8.2 8.1 7.9
2007 8.4 8.2 8.0 8.2 8.2 8.3 8.4 8.4 8.4 8.4 8.4 8.8
2008 9.2 9.0 9.1 9.2 9.7 10.1 10.5 10.8 11.0 11.8 12.6 13.6
2009 14.2 15.2 15.8 15.9 16.5 16.5 16.4 16.7 16.7 17.1 17.1 17.1
2010 16.7 17.0 17.1 17.2 16.6 16.4 16.4 16.5 16.8 16.6 16.9 16.6
2011 16.1 16.0 15.9 16.1 15.8 16.1 16.0 16.1 16.3 15.9 15.6 15.2
2012 15.1 15.0 14.5 14.6 14.8 14.8 14.9 14.7 14.7 14.4 14.4 14.4
2013 14.4 14.3 13.8 13.9 13.8 14.2 13.9 13.6 13.6 13.7 13.1 13.1
2014 12.7

Employment Situation Summary

Transmission of material in this release is embargoed until                      USDL-14-0168
8:30 a.m. (EST) Friday, February 7, 2014

Technical information:
Household data:        (202) 691-6378  •  cpsinfo@bls.gov  •  www.bls.gov/cps
Establishment data:    (202) 691-6555  •  cesinfo@bls.gov  •  www.bls.gov/ces

Media contact:         (202) 691-5902  •  PressOffice@bls.gov

                                 THE EMPLOYMENT SITUATION -- JANUARY 2014

Total nonfarm payroll employment rose by 113,000 in January, and the unemployment rate
was little changed at 6.6 percent, the U.S. Bureau of Labor Statistics reported today.
Employment grew in construction, manufacturing, wholesale trade, and mining. 

  ------------------------------------------------------------------------------------
 |                        Changes to the Employment Situation Data                    |
 |                                                                                    |
 |Establishment survey data have been revised as a result of the annual benchmarking  |
 |process and the updating of seasonal adjustment factors. Also, household survey data|
 |for January 2014 reflect updated population estimates. See the notes at the end of  |
 |this release for more information about these changes.                              |
 |                                                                                    |
  ------------------------------------------------------------------------------------

Household Survey Data

Both the number of unemployed persons, at 10.2 million, and the unemployment rate, at
6.6 percent, changed little in January. Since October, the jobless rate has decreased by
0.6 percentage point. (See table A-1.)  (See the note and tables B and C for information
about the effect of annual population adjustments to the household survey estimates.) 

Among the major worker groups, the unemployment rates for adult men (6.2 percent), adult
women (5.9 percent), teenagers (20.7 percent), whites (5.7 percent), blacks (12.1 percent),
and Hispanics (8.4 percent) showed little change in January. The jobless rate for Asians
was 4.8 percent (not seasonally adjusted), down by 1.7 percentage points over the year.
(See tables A-1, A-2, and A-3.)

The number of long-term unemployed (those jobless for 27 weeks or more), at 3.6 million,
declined by 232,000 in January. These individuals accounted for 35.8 percent of the
unemployed. The number of long-term unemployed has declined by 1.1 million over the year.
(See table A-12.)

After accounting for the annual adjustment to the population controls, the civilian labor
force rose by 499,000 in January, and the labor force participation rate edged up to 63.0
percent. Total employment, as measured by the household survey, increased by 616,000 over
the month, and the employment-population ratio increased by 0.2 percentage point to 58.8
percent. (See table A-1. For additional information about the effects of the population
adjustments, see table C.)

The number of persons employed part time for economic reasons (sometimes referred to as
involuntary part-time workers) fell by 514,000 to 7.3 million in January. These individuals
were working part time because their hours had been cut back or because they were unable to
find full-time work. (See table A-8.)

In January, 2.6 million persons were marginally attached to the labor force, little changed
from a year earlier. (The data are not seasonally adjusted.) These individuals were not in
the labor force, wanted and were available for work, and had looked for a job sometime in
the prior 12 months. They were not counted as unemployed because they had not searched for
work in the 4 weeks preceding the survey. (See table A-16.)

Among the marginally attached, there were 837,000 discouraged workers in January, about
unchanged from a year earlier. Discouraged workers are persons not currently looking for
work because they believe no jobs are available for them. The remaining 1.8 million persons
marginally attached to the labor force in January had not searched for work for reasons such
as school attendance or family responsibilities. (See table A-16.)

Establishment Survey Data

Total nonfarm payroll employment increased by 113,000 in January. In 2013, employment growth
averaged 194,000 per month. In January, job gains occurred in construction, manufacturing,
wholesale trade, and mining. (See table B-1.)

Construction added 48,000 jobs over the month, more than offsetting a decline of 22,000 in
December. In January, job gains occurred in both residential and nonresidential building
(+13,000 and +8,000, respectively) and in nonresidential specialty trade contractors
(+13,000). Heavy and civil engineering construction also added 10,000 jobs.

Employment in manufacturing increased in January (+21,000). Over the month, job gains
occurred in machinery (+7,000), wood products (+5,000), and motor vehicles and parts
(+5,000). Manufacturing added an average of 7,000 jobs per month in 2013.

In January, wholesale trade added 14,000 jobs, with most of the increase occurring in
nondurable goods (+10,000).

Mining added 7,000 jobs in January, compared with an average monthly gain of 2,000 jobs
in 2013.

Employment in professional and business services continued to trend up in January (+36,000).
The industry added an average of 55,000 jobs per month in 2013. Within the industry,
professional and technical services added 20,000 jobs in January. 

Leisure and hospitality employment continued to trend up over the month (+24,000). Job
growth in the industry averaged 38,000 per month in 2013. 

Employment in health care was essentially unchanged in January for the second consecutive
month.  Health care added an average of 17,000 jobs per month in 2013. 

Employment in retail trade changed little in January (-13,000). Within the industry, sporting
goods, hobby, book, and music stores lost 22,000 jobs, offsetting job gains in the prior 3
months. In January, motor vehicle and parts dealers added 7,000 jobs.

In January, federal government employment decreased by 12,000; the U.S. Postal Service
accounted for most of this decline (-9,000).

Employment in other major industries, including transportation and warehousing, information,
and financial activities, showed little or no change over the month.

In January, the average workweek for all employees on private nonfarm payrolls was unchanged
at 34.4 hours. The manufacturing workweek declined by 0.2 hour to 40.7 hours, and factory
overtime edged down by 0.1 hour to 3.4 hours. The average workweek for production and
nonsupervisory employees on private nonfarm payrolls was unchanged at 33.5 hours. (See
tables B-2 and B-7.)

Average hourly earnings for all employees on private nonfarm payrolls rose by 5 cents to
$24.21. Over the year, average hourly earnings have risen by 46 cents, or 1.9 percent. In
January, average hourly earnings of private-sector production and nonsupervisory employees
increased by 6 cents to $20.39. (See tables B-3 and B-8.)

The change in total nonfarm payroll employment for November was revised from +241,000 to
+274,000, and the change for December was revised from +74,000 to +75,000. With these
revisions, employment gains in November and December were 34,000 higher than previously
reported. Monthly revisions result from additional reports received from businesses since
the last published estimates and the monthly recalculation of seasonal factors. The annual
benchmark process also contributed to the revisions in this news release.

_____________
The Employment Situation for February is scheduled to be released on Friday, March 7, 2014,
at 8:30 a.m. (EST).

                                  Revisions to Establishment Survey Data

In accordance with annual practice, the establishment survey data released today have been
benchmarked to reflect comprehensive counts of payroll jobs for March 2013. These counts
are derived principally from the Quarterly Census of Employment and Wages (QCEW), which
enumerates jobs covered by the UI tax system. The benchmark process results in revisions
to not seasonally adjusted data from April 2012 forward. Seasonally adjusted data from
January 2009 forward are subject to revision. In addition, data for some series prior to
2009, both seasonally adjusted and unadjusted, incorporate revisions.

The total nonfarm employment level for March 2013 was revised upward by 369,000 (+347,000
on a not seasonally adjusted basis, or 0.3 percent). The average benchmark revision over
the past 10 years was plus or minus 0.3 percent. 

This revision incorporates the reclassification of jobs in the QCEW. Private household
employment is out of scope for the establishment survey. The QCEW reclassified some
private household employment into an industry that is in scope for the establishment
survey--services for the elderly and persons with disabilities. This reclassification
accounted for an increase of 466,000 jobs in the establishment survey. This increase of
466,000 associated with reclassification was offset by survey error of -119,000 for a
total net benchmark revision of +347,000 on a not seasonally adjusted basis. Historical
time series have been reconstructed to incorporate these revisions. 

The effect of these revisions on the underlying trend in nonfarm payroll employment was
minor. For example, the over-the-year change in total nonfarm employment for 2013 was
revised from 2,186,000 to 2,322,000 seasonally adjusted. Table A presents revised total
nonfarm employment data on a seasonally adjusted basis for January through December 2013.

All revised historical CES data, as well as an article that discusses the benchmark and
post-benchmark revisions and other technical issues can be accessed through the CES
homepage at www.bls.gov/ces/. Information on the data released today also may be obtained
by calling (202) 691-6555.

Table A. Revisions in total nonfarm employment, January-December 2013, seasonally adjusted
(Numbers in thousands)

------------------------------------------------------------------------------------------
                    |                                    |                                
                    |                Level               |      Over-the-month change     
                    |---------------------------------------------------------------------
    Year and month  |    As     |           |            |    As    |         |           
                    |previously |    As     | Difference |previously|   As    | Difference
                    |published  |  revised  |            |published | revised |           
------------------------------------------------------------------------------------------
                    |           |           |            |          |         |           
          2013      |           |           |            |          |         |           
                    |           |           |            |          |         |           
 January............|  134,839  |  135,261  |     422    |    148   |    197  |      49   
 February...........|  135,171  |  135,541  |     370    |    332   |    280  |     -52   
 March..............|  135,313  |  135,682  |     369    |    142   |    141  |      -1   
 April..............|  135,512  |  135,885  |     373    |    199   |    203  |       4   
 May................|  135,688  |  136,084  |     396    |    176   |    199  |      23   
 June...............|  135,860  |  136,285  |     425    |    172   |    201  |      29   
 July...............|  135,949  |  136,434  |     485    |     89   |    149  |      60   
 August.............|  136,187  |  136,636  |     449    |    238   |    202  |     -36   
 September..........|  136,362  |  136,800  |     438    |    175   |    164  |     -11   
 October............|  136,562  |  137,037  |     475    |    200   |    237  |      37   
 November...........|  136,803  |  137,311  |     508    |    241   |    274  |      33   
 December (p).......|  136,877  |  137,386  |     509    |     74   |     75  |       1   
------------------------------------------------------------------------------------------

   p = preliminary

                Adjustments to Population Estimates for the Household Survey

Effective with data for January 2014, updated population estimates have been used in the
household survey. Population estimates for the household survey are developed by the U.S.
Census Bureau. Each year, the Census Bureau updates the estimates to reflect new information
and assumptions about the growth of the population since the previous decennial census. The
change in population reflected in the new estimates results from adjustments for net
international migration, updated vital statistics and other information, and some
methodological changes in the estimation process. 

In accordance with usual practice, BLS will not revise the official household survey estimates
for December 2013 and earlier months. To show the impact of the population adjustments, however,
differences in selected December 2013 labor force series based on the old and new population
estimates are shown in table B. 

The adjustments increased the estimated size of the civilian noninstitutional population in
December by 2,000, the civilian labor force by 24,000, employment by 22,000, and unemployment
by 2,000. The number of persons not in the labor force was reduced by 22,000. The total
unemployment rate, employment-population ratio, and labor force participation rate were
unaffected. 

Data users are cautioned that these annual population adjustments can affect the comparability
of household data series over time. Table C shows the effect of the introduction of new
population estimates on the comparison of selected labor force measures between December 2013
and January 2014. Additional information on the population adjustments and their effect on
national labor force estimates is available at www.bls.gov/cps/cps14adj.pdf.

Table B. Effect of the updated population controls on December 2013 estimates by sex, race, and
Hispanic or Latino ethnicity, not seasonally adjusted
(Numbers in thousands)

__________________________________________________________________________________________________
                                        |      |     |      |       |        |       |            
                                        |      |     |      |       |  Black |       |            
                                        |      |     |      |       |    or  |       |  Hispanic  
                  Category              | Total| Men | Women| White | African| Asian | or Latino  
                                        |      |     |      |       |American|       | ethnicity  
                                        |      |     |      |       |        |       |            
________________________________________|______|_____|______|_______|________|_______|____________
                                        |      |     |      |       |        |       |            
  Civilian noninstitutional population..|    2 |  29 |  -27 |   -65 |     48 |    33 |     -57    
    Civilian labor force................|   24 |  24 |    0 |   -17 |     34 |    15 |     -38    
      Participation rate................|   .0 |  .0 |   .0 |    .0 |     .0 |    .0 |      .0    
     Employed...........................|   22 |  22 |    0 |   -16 |     31 |    14 |     -34    
      Employment-population ratio.......|   .0 |  .0 |   .0 |    .0 |     .0 |    .0 |      .0    
     Unemployed.........................|    2 |   3 |   -1 |    -1 |      4 |     1 |      -4    
      Unemployment rate.................|   .0 |  .0 |   .0 |    .0 |     .0 |    .0 |      .0    
    Not in labor force..................|  -22 |   4 |  -27 |   -48 |     14 |    18 |     -18    
________________________________________|______|_____|______|_______|________|_______|____________

   NOTE: Detail may not sum to totals because of rounding. Estimates for the above race groups
(white, black or African American, and Asian) do not sum to totals because data are not presented
for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race.

Table C. December 2013-January 2014 changes in selected labor force measures,
with adjustments for population control effects
(Numbers in thousands)

______________________________________________________________________________
                                       |           |            |             
                                       |           |            |  Dec.-Jan.  
                                       | Dec.-Jan. |    2014    |   change,   
                                       |  change,  | population |  after re-  
                Category               |    as     |   control  |  moving the 
                                       | published |   effect   |  population 
                                       |           |            |   control   
                                       |           |            |  effect (1) 
_______________________________________|___________|____________|_____________
                                       |           |            |             
  Civilian noninstitutional population.|    170    |       2    |     168     
    Civilian labor force...............|    523    |      24    |     499     
      Participation rate...............|     .2    |      .0    |      .2     
     Employed..........................|    638    |      22    |     616     
      Employment-population ratio......|     .2    |      .0    |      .2     
     Unemployed........................|   -115    |       2    |    -117     
      Unemployment rate................|    -.1    |      .0    |     -.1     
    Not in labor force.................|   -353    |     -22    |    -331     
_______________________________________|___________|____________|_____________

   (1) This Dec.-Jan. change is calculated by subtracting the population 
control effect from the over-the-month change in the published seasonally
adjusted estimates.
   NOTE: Detail may not sum to totals because of rounding.

  ------------------------------------------------------------------------------------
 |                                                                                    |
 |                            Change to the Household Survey Tables                   |
 |                                                                                    |
 |Effective with this release, household survey table A-10 includes two new seasonally|
 |adjusted series for women age 55 and over--the number of unemployed persons and the |
 |unemployment rate. These replace the series that were previously displayed for this |
 |group, which were not seasonally adjusted.                                          |
 |                                                                                    |
  ------------------------------------------------------------------------------------

  ------------------------------------------------------------------------------------
 |                                                                                    |
 |               Updated Veteran Weighting Methodology for Household Survey           |
 |                                                                                    |
 |Beginning with data for January 2014, estimates for veterans in table A-5 of this   |
 |release incorporate updated weighting procedures. The new weighting methodology more|
 |accurately reflects the current demographic composition of the veteran population.  |
 |The primary impact of the change was an increase in the "Gulf War-era I" veteran    |
 |population and a decrease in the number of veterans in the "Other service periods"  |
 |category. The updated methodology had little effect on unemployment rates for       |
 |veterans, regardless of gender or period of service. Additional information on the  |
 |effect of the change on labor force estimates for veterans is available at          |
 |www.bls.gov/cps/vetsweights2014.pdf.                                                |
 |                                                                                    |
  ------------------------------------------------------------------------------------

Employment Situation Summary Table A. Household data, seasonally adjusted

HOUSEHOLD DATA
Summary table A. Household data, seasonally adjusted
[Numbers in thousands]

CategoryJan.
2013Nov.
2013Dec.
2013Jan.
2014Change from:
Dec.
2013-
Jan.
2014Employment status Civilian noninstitutional population244,663246,567246,745246,915-Civilian labor force155,699155,284154,937155,460-Participation rate63.663.062.863.0-Employed143,384144,443144,586145,224-Employment-population ratio58.658.658.658.8-Unemployed12,31510,84110,35110,236-Unemployment rate7.97.06.76.6-Not in labor force88,96391,28391,80891,455- Unemployment rates Total, 16 years and over7.97.06.76.6-Adult men (20 years and over)7.46.76.36.2-Adult women (20 years and over)7.26.26.05.9-Teenagers (16 to 19 years)23.520.820.220.7-White7.16.15.95.7-Black or African American13.812.411.912.1-Asian (not seasonally adjusted)6.55.34.14.8-Hispanic or Latino ethnicity9.78.78.38.4- Total, 25 years and over6.55.85.65.4-Less than a high school diploma12.010.69.89.6-High school graduates, no college8.17.37.16.5-Some college or associate degree7.06.46.16.0-Bachelor’s degree and higher3.83.43.33.2- Reason for unemployment Job losers and persons who completed temporary jobs6,6755,7315,3665,407-Job leavers984890862818-Reentrants3,5203,0653,0362,937-New entrants1,2741,1691,2011,184- Duration of unemployment Less than 5 weeks2,7532,4392,2552,434-5 to 14 weeks3,0772,5852,5062,429-15 to 26 weeks1,8671,7421,6511,689-27 weeks and over4,7074,0443,8783,646- Employed persons at work part time Part time for economic reasons7,9837,7237,7717,257-Slack work or business conditions5,1174,8694,8844,405-Could only find part-time work2,6132,4992,5922,571-Part time for noneconomic reasons18,55618,85818,73119,165- Persons not in the labor force (not seasonally adjusted) Marginally attached to the labor force2,4432,0962,4272,592-Discouraged workers804762917837– December – January changes in household data are not shown due to the introduction of updated population controls.
NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data.

Employment Situation Summary Table B. Establishment data, seasonally adjusted

ESTABLISHMENT DATA
Summary table B. Establishment data, seasonally adjusted
Category Jan.
2013
Nov.
2013
Dec.
2013(p)
Jan.
2014(p)
EMPLOYMENT BY SELECTED INDUSTRY
(Over-the-month change, in thousands)
Total nonfarm 197 274 75 113
Total private 219 272 89 142
Goods-producing 43 68 -13 76
Mining and logging 3 1 1 7
Construction 23 32 -22 48
Manufacturing 17 35 8 21
Durable goods(1) 9 19 2 15
Motor vehicles and parts 3.5 4.7 3.3 4.7
Nondurable goods 8 16 6 6
Private service-providing(1) 176 204 102 66
Wholesale trade 16.9 16.8 10.2 13.9
Retail trade 26.9 22.3 62.7 -12.9
Transportation and warehousing 9.8 32.4 10.6 9.9
Information -1 1 -10 0
Financial activities 8 -4 3 -2
Professional and business services(1) 45 73 4 36
Temporary help services 4.9 36.6 30.1 8.1
Education and health services(1) 17 25 -4 -6
Health care and social assistance 23.5 24.4 1.1 1.5
Leisure and hospitality 47 37 20 24
Other services 7 -1 7 4
Government -22 2 -14 -29
WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES(2)
AS A PERCENT OF ALL EMPLOYEES
Total nonfarm women employees 49.4 49.5 49.5 49.4
Total private women employees 48.0 48.0 48.0 47.9
Total private production and nonsupervisory employees 82.6 82.6 82.6 82.6
HOURS AND EARNINGS
ALL EMPLOYEES
Total private
Average weekly hours 34.4 34.5 34.4 34.4
Average hourly earnings $23.75 $24.15 $24.16 $24.21
Average weekly earnings $817.00 $833.18 $831.10 $832.82
Index of aggregate weekly hours (2007=100)(3) 97.5 99.6 99.4 99.5
Over-the-month percent change 0.2 0.5 -0.2 0.1
Index of aggregate weekly payrolls (2007=100)(4) 110.5 114.8 114.6 114.9
Over-the-month percent change 0.4 0.8 -0.2 0.3
HOURS AND EARNINGS
PRODUCTION AND NONSUPERVISORY EMPLOYEES
Total private
Average weekly hours 33.6 33.7 33.5 33.5
Average hourly earnings $19.95 $20.30 $20.33 $20.39
Average weekly earnings $670.32 $684.11 $681.06 $683.07
Index of aggregate weekly hours (2002=100)(3) 104.9 107.1 106.6 106.7
Over-the-month percent change -0.2 0.5 -0.5 0.1
Index of aggregate weekly payrolls (2002=100)(4) 139.8 145.3 144.8 145.3
Over-the-month percent change 0.1 0.8 -0.3 0.3
DIFFUSION INDEX(5)
(Over 1-month span)
Total private (264 industries) 64.0 66.9 56.4 61.2
Manufacturing (81 industries) 56.8 65.4 59.9 54.3
Footnotes
(1) Includes other industries, not shown separately.
(2) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries.
(3) The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding annual average aggregate hours.
(4) The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding annual average aggregate weekly payrolls.
(5) Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal balance between industries with increasing and decreasing employment.
(p) Preliminary
NOTE: Data have been revised to reflect March 2013 benchmark levels and updated seasonal adjustment factors.

Weakness Continues as 113,000 Jobs Are Added in January

Employers added jobs at a slower-than-expected pace in January, the second month in a row that hiring has been disappointing and a sign that the labor market remains anemic despite indications of growth elsewhere in the economy.

Payrolls increased by 113,000, the Labor Department reported Friday morning, well below the gain of 180,000 that economists expected. The unemployment rate, based on a separate survey of households that was more encouraging, actually fell by a tenth of a percentage point, to 6.6 percent.

The data for January come after an even more disappointing report on the labor market for December, which was revised upward only slightly Friday, to show a gain of just 75,000 jobs, from 74,000. The level of hiring in January was also substantially below the average monthly gain of 178,000 positions over the last six months, as well as the monthly addition of 187,000 over the last year.

The two weak months in a row will prompt questions about whether the Federal Reserve acted prematurely when policy makers in December voted to begin scaling back the central bank’s expansive stimulus efforts.

The new data is not expected to alter the Fed’s course, economists said, but another poor report on hiring next month might force policy makers to rethink their plan when they next meet in late March.

“In one line: grim,” said Ian Shepherdson, chief economist at Pantheon Macroeconomics, in a note to clients Friday morning.

While seasonal adjustments may have played a role and upward revisions for hiring in October and November were more encouraging, he said, “The payroll rebound clearly is disappointing; none of the ground lost in December was recovered.”

Other economists conceded the picture for January was hardly bright, but cautioned it was too soon to conclude there had been a fundamental loss of momentum in the economy, especially given seasonal fluctuations in the data and the possibility that weather inhibited some hiring.

“We’re not seeing the takeoff that people wanted to see, but it’s not a disaster,” said Julia Coronado, chief economist for North America at BNP Paribas. “The 113,000 figure is definitely way below trend, but we want another month or two of data before we can draw conclusions.”

One mystery economists will be focusing on is why employment gains have not kept up with economic growth as measured by gross domestic product, which picked up substantially in the second half of 2013. The annualized pace of expansion was 3.2 percent in the fourth quarter, and 4.1 percent in the third quarter.

One reason may be that new technologies are allowing employers to make do with fewer workers, for instance the use of automated customer service systems instead of call centers, or Internet retailers’ taking over from brick-and-mortar stores where sales associates prowl the floors.

Another shift is evident from the yawning gap in employment for college graduates versus workers who lack a high school diploma. For people with a college degree or higher, the jobless rate was 3.1 percent, compared with 9.6 percent for Americans who did not finish high school.

Wintry conditions that held back hiring were blamed for the weakness in December, a theory popular among more optimistic economists after those numbers came out in early January.

But despite what seems like an endless series of snowstorms on the East Coast and arctic conditions in the Midwest recently, the reference week for the latest survey was Jan. 12-18, when conditions were fairly normal as Januaries go, limiting some of the impact of the weather in this report.

In the report on January, one sector holding back payrolls was the government, which shrank by 29,000 jobs in January. Excluding that loss, private employers added 142,000 positions, a slightly better showing.

Several other sectors which had been strong in recent months – education and health care as well as retailing – also lost positions, contributing to the overall weakness.

The falloff in hiring in the health care sector was especially notable. In December and January together, just 2,600 health care positions were filled. By contrast, as recently as November, nearly 25,000 health care workers were added to payrolls.

Although this area of the economy is going through a transformation as President Obama’s new health care plan is slowly introduced, that is unlikely to have caused the abrupt slowdown in hiring, said Ethan Harris, a head of global economics at Bank of America Merrill Lynch. If anything, he said, the law should create new jobs in the sector as health care coverage is expanded, even if higher costs for some employers result in job cuts elsewhere in the economy.

As for retail, which lost nearly 13,000 jobs in January, some of that reduction could have essentially been because of excessive hiring in December, Mr. Harris said, when stores added nearly 63,000 positions as the holiday shopping season peaked. The cuts may also have been spurred by weak results at some retailers, with chains like J. C. Penney announcing major job cuts last month, and Loehmann’s, the venerable discounter, now in liquidation.

The employment-population ratio, which has been falling as more workers drop out of the job market, edged up 0.2 percentage points to 58.8 percent. In recent years, the exit of people from the work force has reduced the unemployment rate, but it is a sign that people are giving up hope of finding a job in the face of slack conditions, hardly the way policy makers would like to see joblessness come down.

http://www.nytimes.com/2014/02/08/business/us-economy-adds-113000-jobs-unemployment-rate-at-6-6.html?_r=0

EMBARGOED UNTIL RELEASE AT 8:30 A.M. EST, THURSDAY, JANUARY 30, 2014
BEA 14-03

* See the navigation bar at the right side of the news release text for links to data tables,
contact personnel and their telephone numbers, and supplementary materials.

Lisa S. Mataloni: (202) 606-5304 (GDP) gdpniwd@bea.gov
Recorded message: (202) 606-5306
Jeannine Aversa: (202) 606-2649 (News Media)
National Income and Product Accounts
Gross Domestic Product, 4th quarter and annual 2013 (advance estimate)
      Real gross domestic product -- the output of goods and services produced by labor and property
located in the United States -- increased at an annual rate of 3.2 percent in the fourth quarter of 2013
(that is, from the third quarter to the fourth quarter), according to the "advance" estimate released by the
Bureau of Economic Analysis.  In the third quarter, real GDP increased 4.1 percent.

      The Bureau emphasized that the fourth-quarter advance estimate released today is based on
source data that are incomplete or subject to further revision by the source agency (see the box on page 4
and "Comparisons of Revisions to GDP" on page 5).  The "second" estimate for the fourth quarter, based
on more complete data, will be released on February 28, 2014.

      The increase in real GDP in the fourth quarter primarily reflected positive contributions from
personal consumption expenditures (PCE), exports, nonresidential fixed investment, private inventory
investment, and state and local government spending that were partly offset by negative contributions
from federal government spending and residential fixed investment.  Imports, which are a subtraction in
the calculation of GDP, increased.

      The deceleration in real GDP in the fourth quarter reflected a deceleration in private inventory
investment, a larger decrease in federal government spending, a downturn in residential fixed
investment, and decelerations in state and local government spending and in nonresidential fixed
investment that were partly offset by accelerations in exports and in PCE and a deceleration in imports.

      The price index for gross domestic purchases, which measures prices paid by U.S. residents,
increased 1.2 percent in the fourth quarter, compared with an increase of 1.8 percent in the third.
Excluding food and energy prices, the price index for gross domestic purchases increased 1.7 percent in
the fourth quarter, compared with an increase of 1.5 percent in the third.

_______
FOOTNOTE.  Quarterly estimates are expressed at seasonally adjusted annual rates, unless otherwise
specified.  Quarter-to-quarter dollar changes are differences between these published estimates.  Percent
changes are calculated from unrounded data and are annualized.  "Real" estimates are in chained (2009)
dollars.  Price indexes are chain-type measures.

This news release is available on www.bea.gov along with the Technical Note and Highlights 
related to this release.
_______

      Real personal consumption expenditures increased 3.3 percent in the fourth quarter, compared
with an increase of 2.0 percent in the third. Durable goods increased 5.9 percent, compared with an
increase of 7.9 percent.  Nondurable goods increased 4.4 percent, compared with an increase of 2.9
percent.  Services increased 2.5 percent, compared with an increase of 0.7 percent.

      Real nonresidential fixed investment increased 3.8 percent in the fourth quarter, compared with
an increase of 4.8 percent in the third.  Nonresidential structures decreased 1.2 percent, in contrast to an
increase of 13.4 percent.  Equipment increased 6.9 percent, compared with an increase of 0.2 percent.
Intellectual property products increased 3.2 percent, compared with an increase of 5.8 percent.  Real
residential fixed investment decreased 9.8 percent, in contrast to an increase of 10.3 percent.

      Real exports of goods and services increased 11.4 percent in the fourth quarter, compared with
an increase of 3.9 percent in the third.  Real imports of goods and services increased 0.9 percent,
compared with an increase of 2.4 percent.

      Real federal government consumption expenditures and gross investment decreased 12.6 percent
in the fourth quarter, compared with a decrease of 1.5 percent in the third.  National defense decreased
14.0 percent, compared with a decrease of 0.5 percent.  Nondefense decreased 10.3 percent, compared
with a decrease of 3.1 percent.  Real state and local government consumption expenditures and gross
investment increased 0.5 percent, compared with an increase of 1.7 percent.

      The change in real private inventories added 0.42 percentage point to the fourth-quarter change
in real GDP after adding 1.67 percentage points to the third-quarter change.  Private businesses
increased inventories $127.2 billion in the fourth quarter, following increases of $115.7 billion in the
third quarter and $56.6 billion in the second.

      Real final sales of domestic product -- GDP less change in private inventories -- increased 2.8
percent in the fourth quarter, compared with an increase of 2.5 percent in the third.

Gross domestic purchases

      Real gross domestic purchases -- purchases by U.S. residents of goods and services wherever
produced -- increased 1.8 percent in the fourth quarter, compared with an increase of 3.9 percent in the
third.

Disposition of personal income

      Current-dollar personal income increased $69.4 billion (2.0 percent) in the fourth quarter,
compared with an increase of $140.0 billion (4.0 percent) in the third.  The deceleration in personal
income primarily reflected downturns in personal dividend income and in farm proprietors’ income and
a deceleration in personal current transfer receipts that were partly offset by an acceleration in wages
and salaries.

      Personal current taxes increased $23.7 billion in the fourth quarter, in contrast to a decrease of
$11.0 billion in the third.

      Disposable personal income increased $45.7 billion (1.5 percent) in the fourth quarter, compared
with an increase of $151.0 billion (5.0 percent) in the third.  Real disposable personal income increased
0.8 percent in the fourth quarter, compared with an increase of 3.0 percent in the third.

      Personal outlays increased $118.6 billion (4.0 percent) in the fourth quarter, compared with an
increase of $113.4 billion (3.9 percent) in the third.  Personal saving -- disposable personal income less
personal outlays -- was $545.1 billion in the fourth quarter, compared with $618.0 billion in the third.

      The personal saving rate -- personal saving as a percentage of disposable personal income -- was
4.3 percent in the fourth quarter, compared with 4.9 percent in the third.  For a comparison of personal
saving in BEA’s national income and product accounts with personal saving in the Federal Reserve
Board’s financial accounts of the United States and data on changes in net worth, go to
www.bea.gov/national/nipaweb/Nipa-Frb.asp.

Current-dollar GDP

      Current-dollar GDP -- the market value of the nation's output of goods and services -- increased
4.6 percent, or $189.6 billion, in the fourth quarter to a level of $17,102.5 billion.  In the third quarter,
current-dollar GDP increased 6.2 percent, or $251.9 billion.

2013 GDP

	Real GDP increased 1.9 percent in 2013 (that is, from the 2012 annual level to the 2013 annual
level), compared with an increase of 2.8 percent in 2012.

      The increase in real GDP in 2013 primarily reflected positive contributions from personal
consumption expenditures (PCE), exports, residential fixed investment, nonresidential fixed investment,
and private inventory investment that were partly offset by a negative contribution from federal
government spending.  Imports, which are a subtraction in the calculation of GDP, increased.

      The deceleration in real GDP in 2013 primarily reflected a deceleration in nonresidential fixed
investment, a larger decrease in federal government spending, and decelerations in PCE and in exports
that were partly offset by a deceleration in imports and a smaller decrease in state and local government
spending.

      The price index for gross domestic purchases increased 1.2 percent in 2013, compared with an
increase of 1.7 percent in 2012.

      Current-dollar GDP increased 3.4 percent, or $558.4 billion, in 2013, compared with an increase
of 4.6 percent, or $710.8 billion, in 2012.

      During 2013 (that is, measured from the fourth quarter of 2012 to the fourth quarter of 2013) real
GDP increased 2.7 percent.  Real GDP increased 2.0 percent during 2012.  The price index for gross
domestic purchases increased 1.1 percent during 2013, compared with an increase of 1.5 percent in
2012.

________
BOX.	  Information on the assumptions used for unavailable source data is provided in a technical note
that is posted with the news release on BEA's Web site.  Within a few days after the release, a detailed
"Key Source Data and Assumptions" file is posted on the Web site.  In the middle of each month, an analysis
of the current quarterly estimate of GDP and related series is made available on the Web site; click on
Survey of Current Business, "GDP and the Economy."  For information on revisions, see "Revisions to GDP, GDI,
and Their Major Components."
________

      BEA's national, international, regional, and industry estimates; the Survey of Current Business;
and BEA news releases are available without charge on BEA's Web site at www.bea.gov.  By visiting
the site, you can also subscribe to receive free e-mail summaries of BEA releases and announcements.

                                      *          *          *

                          Next release -- February 28, 2014 at 8:30 A.M. EST for:
                  Gross Domestic Product:  Fourth Quarter and Annual 2013 (Second Estimate)

                                      *          *          *

Release dates in 2014

Gross Domestic Product

           		2013: IV and 2013 annual    	2014: I     	2014: II       	  2014: III

Advance...		January 30            	        April 30	July 30		  October 30
Second....		February 28          	        May 29      	August 28	  November 25
Third..... 		March 27             	        June 25     	September 26	  December 23

Corporate Profits

Preliminary...          ......	                        May 29         August 28         November 25
Revised....... 		March 27             	        June 25        September 26      December 23

                                            Comparisons of Revisions to GDP

     Quarterly estimates of GDP are released on the following schedule:  the "advance" estimate, based on
source data that are incomplete or subject to further revision by the source agency, is released near the end of the
first month after the end of the quarter; as more detailed and more comprehensive data become available,
the "second" and "third" estimates are released near the end of the second and third months, respectively.
The "latest"” estimate reflects the results of both annual and comprehensive revisions.

     Annual revisions, which generally cover the quarters of the 3 most recent calendar years, are usually carried
out each summer and incorporate newly available major annual source data.  Comprehensive (or benchmark)
revisions are carried out at about 5-year intervals and incorporate major periodic source data, as well as
improvements in concepts and methods that update the accounts to portray more accurately the evolving U.S.
economy.

The table below shows comparisons of the revisions between quarterly percent changes of current-dollar
and of real GDP for the different vintages of the estimates.  From the advance estimate to the second estimate (one
month later), the average revision to real GDP without regard to sign is 0.5 percentage point, while from the
advance estimate to the third estimate (two months later), it is 0.6 percentage point.  From the advance estimate to
the latest estimate, the average revision without regard to sign is 1.3 percentage points.  The average revision
(with regard to sign) from the advance estimate to the latest estimate is 0.3 percentage point, which is larger
than the average revisions from the advance estimate to the second or to the third estimates.  The larger average
revisions to the latest estimate reflect the fact that comprehensive revisions include major improvements, such as
the incorporation of BEA’s latest benchmark input-output accounts.  The quarterly estimates correctly indicate the
direction of change of real GDP 97 percent of the time, correctly indicate whether GDP is accelerating or
decelerating 72 percent of the time, and correctly indicate whether real GDP growth is above, near, or below trend
growth more than four-fifths of the time.

                           Revisions Between Quarterly Percent Changes of GDP: Vintage Comparisons
                                                     [Annual rates]

       Vintages                                   Average         Average without     Standard deviation of
       compared                                                    regard to sign      revisions without
                                                                                         regard to sign

____________________________________________________Current-dollar GDP_______________________________________________

Advance to second....................               0.2                 0.5                  0.4
Advance to third.....................                .2                  .7                   .4
Second to third......................                .0                  .3                   .2

Advance to latest....................                .3                 1.3                  1.0

________________________________________________________Real GDP_____________________________________________________

Advance to second....................               0.1                 0.5                  0.4
Advance to third.....................                .1                  .6                   .4
Second to third......................                .0                  .2                   .2

Advance to latest....................                .3                 1.3                  1.0

NOTE.  These comparisons are based on the period from 1983 through 2010.http://bea.gov/newsreleases/national/gdp/gdpnewsrelease.htm
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After 6 Years Employment Level of 144.4 Million Still Below Previous Peak of 146.6 Million in November 2007 — 2.2 Million Short — Plus 9 Million To 11 Million New Entrants — Obama Job Shortage 11 Million to 13 Million! — Obama’s Economic Policies and Obamacare Not Working! — Videos

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Segment 0: After 6 Years Employment Level of 144.4 Million Still Below Previous Peak of 146.6 Million in November 2007 — 2.2 Million Short — Plus 9 Million To 11 Million New Entrants — Obama Job Shortage 11 Million to 13 Million! — Obama’s Economic Policies and Obamacare Not Working! — Videos

sgs-emp

Alternate Unemployment Charts

The seasonally-adjusted SGS Alternate Unemployment Rate reflects current unemployment reporting methodology adjusted for SGS-estimated long-term discouraged workers, who were defined out of official existence in 1994. That estimate is added to the BLS estimate of U-6 unemployment, which includes short-term discouraged workers.

The U-3 unemployment rate is the monthly headline number. The U-6 unemployment rate is the Bureau of Labor Statistics’ (BLS) broadest unemployment measure, including short-term discouraged and other marginally-attached workers as well as those forced to work part-time because they cannot find full-time employment.

http://www.shadowstats.com/alternate_data/unemployment-charts

December 6th 2013 CNBC Stock Market Squawk Box (November Jobs Report)

November Unemployment Rate Falls To 7% – Crowley: If This Numbers Are To Be Believed Thats A Big If

Jobs report doesn’t improve outlook for long-term jobless

Nightly Business Report — December 6, 2013

Stock Markets Latest News: Wall St. Eyes Weekly Gain After Jobs Report

Bob Browne: Last week’s strong U.S. jobs report — December 9, 2013

The long-term effects of unemployment among young workers

Friday, December 6, 2013

Larry Kudlow Admits to Being Wrong About Bernanke And The Economy NOT PETER SCHIFF THOUGH!

Employment Level

144,386,000

Series Id: LNS12000000
Seasonally Adjusted
Series title: (Seas) Employment Level
Labor force status: Employed
Type of data: Number in thousands
Age: 16 years and over

Employment_Level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 136559(1) 136598 136701 137270 136630 136940 136531 136662 136893 137088 137322 137614
2001 137778 137612 137783 137299 137092 136873 137071 136241 136846 136392 136238 136047
2002 135701 136438 136177 136126 136539 136415 136413 136705 137302 137008 136521 136426
2003 137417(1) 137482 137434 137633 137544 137790 137474 137549 137609 137984 138424 138411
2004 138472(1) 138542 138453 138680 138852 139174 139556 139573 139487 139732 140231 140125
2005 140245(1) 140385 140654 141254 141609 141714 142026 142434 142401 142548 142499 142752
2006 143150(1) 143457 143741 143761 144089 144353 144202 144625 144815 145314 145534 145970
2007 146028(1) 146057 146320 145586 145903 146063 145905 145682 146244 145946 146595 146273
2008 146378(1) 146156 146086 146132 145908 145737 145532 145203 145076 144802 144100 143369
2009 142153(1) 141644 140721 140652 140250 140005 139898 139481 138810 138421 138665 138025
2010 138439(1) 138624 138767 139296 139255 139148 139167 139405 139388 139097 139046 139295
2011 139253(1) 139471 139643 139606 139681 139405 139509 139870 140164 140314 140771 140896
2012 141608(1) 142019 142020 141934 142302 142448 142250 142164 142974 143328 143277 143305
2013 143322(1) 143492 143286 143579 143898 144058 144285 144170 144303 143568 144386
1 : Data affected by changes in population controls.

Civilian Labor Force Level

155,254,000

Series Id: LNS11000000
Seasonally Adjusted
Series title: (Seas) Civilian Labor Force Level
Labor force status: Civilian labor force
Type of data: Number in thousands
Age: 16 years and over

Civilian_Labor_Force_Level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 142267(1) 142456 142434 142751 142388 142591 142278 142514 142518 142622 142962 143248
2001 143800 143701 143924 143569 143318 143357 143654 143284 143989 144086 144240 144305
2002 143883 144653 144481 144725 144938 144808 144803 145009 145552 145314 145041 145066
2003 145937(1) 146100 146022 146474 146500 147056 146485 146445 146530 146716 147000 146729
2004 146842(1) 146709 146944 146850 147065 147460 147692 147564 147415 147793 148162 148059
2005 148029(1) 148364 148391 148926 149261 149238 149432 149779 149954 150001 150065 150030
2006 150214(1) 150641 150813 150881 151069 151354 151377 151716 151662 152041 152406 152732
2007 153144(1) 152983 153051 152435 152670 153041 153054 152749 153414 153183 153835 153918
2008 154063(1) 153653 153908 153769 154303 154313 154469 154641 154570 154876 154639 154655
2009 154232(1) 154526 154142 154479 154742 154710 154505 154300 153815 153804 153887 153120
2010 153455(1) 153702 153960 154577 154110 153623 153709 154078 153966 153681 154140 153649
2011 153244(1) 153269 153358 153478 153552 153369 153325 153707 154074 154010 154096 153945
2012 154356(1) 154825 154707 154451 154998 155149 154995 154647 155056 155576 155319 155511
2013 155654(1) 155524 155028 155238 155658 155835 155798 155486 155559 154839 155294
1 : Data affected by changes in population controls.

Labor Force Participation Rate

63.0%

Series Id: LNS11300000
Seasonally Adjusted
Series title: (Seas) Labor Force Participation Rate
Labor force status: Civilian labor force participation rate
Type of data: Percent or rate
Age: 16 years and over

Civilian_Labor_Force_Participation_Rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 67.3 67.3 67.3 67.3 67.1 67.1 66.9 66.9 66.9 66.8 66.9 67.0
2001 67.2 67.1 67.2 66.9 66.7 66.7 66.8 66.5 66.8 66.7 66.7 66.7
2002 66.5 66.8 66.6 66.7 66.7 66.6 66.5 66.6 66.7 66.6 66.4 66.3
2003 66.4 66.4 66.3 66.4 66.4 66.5 66.2 66.1 66.1 66.1 66.1 65.9
2004 66.1 66.0 66.0 65.9 66.0 66.1 66.1 66.0 65.8 65.9 66.0 65.9
2005 65.8 65.9 65.9 66.1 66.1 66.1 66.1 66.2 66.1 66.1 66.0 66.0
2006 66.0 66.1 66.2 66.1 66.1 66.2 66.1 66.2 66.1 66.2 66.3 66.4
2007 66.4 66.3 66.2 65.9 66.0 66.0 66.0 65.8 66.0 65.8 66.0 66.0
2008 66.2 66.0 66.1 65.9 66.1 66.1 66.1 66.1 66.0 66.0 65.9 65.8
2009 65.7 65.8 65.6 65.7 65.7 65.7 65.5 65.4 65.1 65.0 65.0 64.6
2010 64.8 64.9 64.9 65.1 64.9 64.6 64.6 64.7 64.6 64.4 64.6 64.3
2011 64.2 64.2 64.2 64.2 64.2 64.0 64.0 64.1 64.2 64.1 64.1 64.0
2012 63.7 63.9 63.8 63.6 63.8 63.8 63.7 63.5 63.6 63.8 63.6 63.6
2013 63.6 63.5 63.3 63.3 63.4 63.5 63.4 63.2 63.2 62.8 63.0

Employment-Population Ratio

58.6%

Series Id: LNS12300000
Seasonally Adjusted
Series title: (Seas) Employment-Population Ratio
Labor force status: Employment-population ratio
Type of data: Percent or rate
Age: 16 years and over\

Employment_Population_Level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 64.6 64.6 64.6 64.7 64.4 64.5 64.2 64.2 64.2 64.2 64.3 64.4
2001 64.4 64.3 64.3 64.0 63.8 63.7 63.7 63.2 63.5 63.2 63.0 62.9
2002 62.7 63.0 62.8 62.7 62.9 62.7 62.7 62.7 63.0 62.7 62.5 62.4
2003 62.5 62.5 62.4 62.4 62.3 62.3 62.1 62.1 62.0 62.1 62.3 62.2
2004 62.3 62.3 62.2 62.3 62.3 62.4 62.5 62.4 62.3 62.3 62.5 62.4
2005 62.4 62.4 62.4 62.7 62.8 62.7 62.8 62.9 62.8 62.8 62.7 62.8
2006 62.9 63.0 63.1 63.0 63.1 63.1 63.0 63.1 63.1 63.3 63.3 63.4
2007 63.3 63.3 63.3 63.0 63.0 63.0 62.9 62.7 62.9 62.7 62.9 62.7
2008 62.9 62.8 62.7 62.7 62.5 62.4 62.2 62.0 61.9 61.7 61.4 61.0
2009 60.6 60.3 59.9 59.8 59.6 59.4 59.3 59.1 58.7 58.5 58.6 58.3
2010 58.5 58.5 58.5 58.7 58.6 58.5 58.5 58.5 58.5 58.3 58.2 58.3
2011 58.3 58.4 58.4 58.4 58.4 58.2 58.2 58.3 58.4 58.4 58.5 58.6
2012 58.5 58.6 58.5 58.5 58.6 58.6 58.5 58.4 58.7 58.7 58.7 58.6
2013 58.6 58.6 58.5 58.6 58.6 58.7 58.7 58.6 58.6 58.3 58.6

Unemployment Level

10,907,000

Series Id: LNS13000000
Seasonally Adjusted
Series title: (Seas) Unemployment Level
Labor force status: Unemployed
Type of data: Number in thousands
Age: 16 years and over

Unemployment_Level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5708 5858 5733 5481 5758 5651 5747 5853 5625 5534 5639 5634
2001 6023 6089 6141 6271 6226 6484 6583 7042 7142 7694 8003 8258
2002 8182 8215 8304 8599 8399 8393 8390 8304 8251 8307 8520 8640
2003 8520 8618 8588 8842 8957 9266 9011 8896 8921 8732 8576 8317
2004 8370 8167 8491 8170 8212 8286 8136 7990 7927 8061 7932 7934
2005 7784 7980 7737 7672 7651 7524 7406 7345 7553 7453 7566 7279
2006 7064 7184 7072 7120 6980 7001 7175 7091 6847 6727 6872 6762
2007 7116 6927 6731 6850 6766 6979 7149 7067 7170 7237 7240 7645
2008 7685 7497 7822 7637 8395 8575 8937 9438 9494 10074 10538 11286
2009 12079 12881 13421 13826 14492 14705 14607 14819 15005 15382 15223 15095
2010 15016 15078 15192 15281 14856 14475 14542 14673 14577 14584 15094 14354
2011 13992 13798 13716 13872 13871 13964 13817 13837 13910 13696 13325 13049
2012 12748 12806 12686 12518 12695 12701 12745 12483 12082 12248 12042 12206
2013 12332 12032 11742 11659 11760 11777 11514 11316 11255 11272 10907

U-3 Unemployment Rate

7.0%

Series Id: LNS14000000
Seasonally Adjusted
Series title: (Seas) Unemployment Rate
Labor force status: Unemployment rate
Type of data: Percent or rate
Age: 16 years and over

U_3_Unemployment_Rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 4.0 4.1 4.0 3.8 4.0 4.0 4.0 4.1 3.9 3.9 3.9 3.9
2001 4.2 4.2 4.3 4.4 4.3 4.5 4.6 4.9 5.0 5.3 5.5 5.7
2002 5.7 5.7 5.7 5.9 5.8 5.8 5.8 5.7 5.7 5.7 5.9 6.0
2003 5.8 5.9 5.9 6.0 6.1 6.3 6.2 6.1 6.1 6.0 5.8 5.7
2004 5.7 5.6 5.8 5.6 5.6 5.6 5.5 5.4 5.4 5.5 5.4 5.4
2005 5.3 5.4 5.2 5.2 5.1 5.0 5.0 4.9 5.0 5.0 5.0 4.9
2006 4.7 4.8 4.7 4.7 4.6 4.6 4.7 4.7 4.5 4.4 4.5 4.4
2007 4.6 4.5 4.4 4.5 4.4 4.6 4.7 4.6 4.7 4.7 4.7 5.0
2008 5.0 4.9 5.1 5.0 5.4 5.6 5.8 6.1 6.1 6.5 6.8 7.3
2009 7.8 8.3 8.7 9.0 9.4 9.5 9.5 9.6 9.8 10.0 9.9 9.9
2010 9.8 9.8 9.9 9.9 9.6 9.4 9.5 9.5 9.5 9.5 9.8 9.3
2011 9.1 9.0 8.9 9.0 9.0 9.1 9.0 9.0 9.0 8.9 8.6 8.5
2012 8.3 8.3 8.2 8.1 8.2 8.2 8.2 8.1 7.8 7.9 7.8 7.8
2013 7.9 7.7 7.6 7.5 7.6 7.6 7.4 7.3 7.2 7.3 7.0

U-6 Unemployment Rate

13.2%

Series Id: LNS13327709
Seasonally Adjusted
Series title: (seas) Total unemployed, plus all marginally attached workers plus total employed part time for economic reasons, as a percent of all civilian labor force plus all marginally attached workers
Labor force status: Aggregated totals unemployed
Type of data: Percent or rate
Age: 16 years and over
Percent/rates: Unemployed and mrg attached and pt for econ reas as percent of labor force plus marg attached

U_6_Unemployment_Rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 7.1 7.2 7.1 6.9 7.1 7.0 7.0 7.1 7.0 6.8 7.1 6.9
2001 7.3 7.4 7.3 7.4 7.5 7.9 7.8 8.1 8.7 9.3 9.4 9.6
2002 9.5 9.5 9.4 9.7 9.5 9.5 9.6 9.6 9.6 9.6 9.7 9.8
2003 10.0 10.2 10.0 10.2 10.1 10.3 10.3 10.1 10.4 10.2 10.0 9.8
2004 9.9 9.7 10.0 9.6 9.6 9.5 9.5 9.4 9.4 9.7 9.4 9.2
2005 9.3 9.3 9.1 8.9 8.9 9.0 8.8 8.9 9.0 8.7 8.7 8.6
2006 8.4 8.4 8.2 8.1 8.2 8.4 8.5 8.4 8.0 8.2 8.1 7.9
2007 8.4 8.2 8.0 8.2 8.2 8.3 8.4 8.4 8.4 8.4 8.4 8.8
2008 9.2 9.0 9.1 9.2 9.7 10.1 10.5 10.8 11.0 11.8 12.6 13.6
2009 14.2 15.1 15.7 15.9 16.4 16.5 16.5 16.7 16.7 17.1 17.1 17.1
2010 16.7 17.0 17.0 17.1 16.6 16.5 16.5 16.5 16.8 16.7 16.9 16.6
2011 16.2 16.0 15.8 16.0 15.8 16.1 16.0 16.1 16.3 16.0 15.5 15.2
2012 15.1 15.0 14.5 14.5 14.8 14.8 14.9 14.7 14.7 14.5 14.4 14.4
2013 14.4 14.3 13.8 13.9 13.8 14.3 14.0 13.7 13.6 13.8 13.2

Teenage Unemployment Rate 16-19 Year

20.8%

Series Id: LNS14000012
Seasonally Adjusted
Series title: (Seas) Unemployment Rate – 16-19 yrs.
Labor force status: Unemployment rate
Type of data: Percent or rate
Age: 16 to 19 years

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 12.7 13.8 13.3 12.6 12.8 12.3 13.4 14.0 13.0 12.8 13.0 13.2
2001 13.8 13.7 13.8 13.9 13.4 14.2 14.4 15.6 15.2 16.0 15.9 17.0
2002 16.5 16.0 16.6 16.7 16.6 16.7 16.8 17.0 16.3 15.1 17.1 16.9
2003 17.2 17.2 17.8 17.7 17.9 19.0 18.2 16.6 17.6 17.2 15.7 16.2
2004 17.0 16.5 16.8 16.6 17.1 17.0 17.8 16.7 16.6 17.4 16.4 17.6
2005 16.2 17.5 17.1 17.8 17.8 16.3 16.1 16.1 15.5 16.1 17.0 14.9
2006 15.1 15.3 16.1 14.6 14.0 15.8 15.9 16.0 16.3 15.2 14.8 14.6
2007 14.8 14.9 14.9 15.9 15.9 16.3 15.3 15.9 15.9 15.4 16.2 16.8
2008 17.8 16.6 16.1 15.9 19.0 19.2 20.7 18.6 19.1 20.0 20.3 20.5
2009 20.7 22.2 22.2 22.2 23.4 24.7 24.3 25.0 25.9 27.1 26.9 26.6
2010 26.0 25.4 26.2 25.5 26.6 26.0 26.0 25.7 25.8 27.2 24.6 25.1
2011 25.5 24.0 24.4 24.7 24.0 24.7 24.9 25.2 24.4 24.1 23.9 22.9
2012 23.4 23.7 25.0 24.9 24.4 23.7 23.9 24.5 23.7 23.7 23.6 23.5
2013 23.4 25.1 24.2 24.1 24.5 24.0 23.7 22.7 21.4 22.2 20.8

Average Weeks Unemployed

37.2 Weeks

Series Id: LNS13008275
Seasonally Adjusted
Series title: (Seas) Average Weeks Unemployed
Labor force status: Unemployed
Type of data: Number of weeks
Age: 16 years and over

Average_Weeks_Unemployed

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 13.1 12.6 12.7 12.4 12.6 12.3 13.4 12.9 12.2 12.7 12.4 12.5
2001 12.7 12.8 12.8 12.4 12.1 12.7 12.9 13.3 13.2 13.3 14.3 14.5
2002 14.7 15.0 15.4 16.3 16.8 16.9 16.9 16.5 17.6 17.8 17.6 18.5
2003 18.5 18.5 18.1 19.4 19.0 19.9 19.7 19.2 19.5 19.3 19.9 19.8
2004 19.9 20.1 19.8 19.6 19.8 20.5 18.8 18.8 19.4 19.5 19.7 19.4
2005 19.5 19.1 19.5 19.6 18.6 17.9 17.6 18.4 17.9 17.9 17.5 17.5
2006 16.9 17.8 17.1 16.7 17.1 16.6 17.1 17.1 17.1 16.3 16.2 16.1
2007 16.3 16.7 17.8 16.9 16.6 16.5 17.2 17.0 16.3 17.0 17.3 16.6
2008 17.5 16.9 16.5 16.9 16.6 17.1 17.0 17.7 18.6 19.9 18.9 19.9
2009 19.8 20.1 20.9 21.6 22.4 23.9 25.1 25.3 26.7 27.4 29.0 29.7
2010 30.4 29.8 31.6 33.2 33.9 34.4 33.8 33.6 33.4 34.0 34.1 34.8
2011 37.3 37.4 39.2 38.6 39.5 39.6 40.4 40.3 40.4 38.9 40.7 40.7
2012 40.2 39.9 39.5 39.1 39.6 39.7 38.8 39.3 39.6 39.9 39.7 38.1
2013 35.3 36.9 37.1 36.5 36.9 35.6 36.6 37.0 36.9 36.1 37.2

Median Weeks Unemployed

17.0 Weeks

Series Id: LNS13008276
Seasonally Adjusted
Series title: (Seas) Median Weeks Unemployed
Labor force status: Unemployed
Type of data: Number of weeks
Age: 16 years and over

Median_Weeks_Unemployed

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5.8 6.1 6.0 6.1 5.8 5.7 6.0 6.3 5.2 6.1 6.1 6.0
2001 5.8 6.1 6.6 5.9 6.3 6.0 6.8 6.9 7.2 7.3 7.7 8.2
2002 8.4 8.3 8.4 8.9 9.5 11.0 8.9 9.0 9.5 9.6 9.3 9.6
2003 9.6 9.5 9.7 10.2 9.9 11.5 10.3 10.1 10.2 10.4 10.3 10.4
2004 10.6 10.2 10.2 9.5 9.9 11.0 8.9 9.2 9.6 9.5 9.7 9.5
2005 9.4 9.2 9.3 9.0 9.1 9.0 8.8 9.2 8.4 8.6 8.5 8.7
2006 8.6 9.1 8.7 8.4 8.5 7.3 8.0 8.4 8.0 7.9 8.3 7.5
2007 8.3 8.5 9.1 8.6 8.2 7.7 8.7 8.8 8.7 8.4 8.6 8.4
2008 9.0 8.7 8.7 9.4 7.9 9.0 9.7 9.7 10.2 10.4 9.8 10.5
2009 10.7 11.7 12.3 13.1 14.3 17.1 15.9 16.2 17.8 18.8 19.8 20.2
2010 20.0 20.0 20.5 22.2 22.4 24.8 22.1 20.9 20.2 21.1 21.2 22.1
2011 21.5 21.3 21.8 21.0 21.8 21.8 21.5 22.2 21.9 20.4 21.1 20.8
2012 20.8 20.1 19.7 19.3 20.1 19.4 16.8 18.2 18.7 19.6 18.9 18.0
2013 16.0 17.8 18.1 17.5 17.3 16.3 15.7 16.4 16.3 16.3 17.0

Employment Level – Part-Time for Economic Reasons, All Industries

7,719,000

Series Id: LNS12032194
Seasonally Adjusted
Series title: (Seas) Employment Level – Part-Time for Economic Reasons, All Industries
Labor force status: Employed
Type of data: Number in thousands
Age: 16 years and over
Hours at work: 1 to 34 hours
Reasons work not as scheduled: Economic reasons
Worker status/schedules: At work part time

Employment_Level_Part_Time_Economic_Reasons

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 3208 3167 3231 3186 3283 3209 3144 3211 3217 3179 3467 3243
2001 3332 3296 3280 3289 3439 3792 3556 3380 4233 4437 4317 4393
2002 4112 4289 4101 4199 4103 4048 4145 4301 4329 4314 4329 4321
2003 4607 4844 4652 4798 4570 4592 4648 4419 4882 4813 4862 4750
2004 4705 4549 4742 4568 4588 4443 4449 4474 4487 4820 4547 4427
2005 4389 4250 4388 4278 4315 4432 4400 4491 4675 4269 4219 4115
2006 4123 4174 3972 3900 4111 4318 4303 4195 4115 4352 4190 4187
2007 4279 4220 4253 4313 4473 4342 4410 4576 4521 4325 4494 4618
2008 4846 4902 4904 5220 5286 5540 5930 5851 6148 6690 7311 8029
2009 8042 8788 9076 8904 9103 9051 8941 9030 8869 9005 9103 9092
2010 8493 8897 9122 9171 8816 8646 8610 8826 9226 8913 8862 8933
2011 8432 8398 8525 8649 8562 8536 8416 8816 9101 8726 8436 8168
2012 8220 8127 7664 7896 8116 8210 8245 8043 8607 8286 8138 7918
2013 7973 7988 7638 7916 7904 8226 8245 7911 7926 8050 7719

Employment Situation News Release

Transmission of material in this release is embargoed until                   USDL-13-2315
8:30 a.m. (EST) Friday, December 6, 2013

Technical information:
 Household data:     (202) 691-6378  •  cpsinfo@bls.gov  •  www.bls.gov/cps
 Establishment data: (202) 691-6555  •  cesinfo@bls.gov  •  www.bls.gov/ces

Media contact:  (202) 691-5902  •  PressOffice@bls.gov

                        THE EMPLOYMENT SITUATION -- NOVEMBER 2013

The unemployment rate declined from 7.3 percent to 7.0 percent in November, and total
nonfarm payroll employment rose by 203,000, the U.S. Bureau of Labor Statistics
reported today. Employment increased in transportation and warehousing, health care,
and manufacturing.

Household Survey Data

Both the number of unemployed persons, at 10.9 million, and the unemployment rate, at
7.0 percent, declined in November. Among the unemployed, the number who reported being
on temporary layoff decreased by 377,000. This largely reflects the return to work of
federal employees who were furloughed in October due to the partial government shutdown.
(See tables A-1 and A-11.)

Among the major worker groups, the unemployment rates for adult men (6.7 percent),
adult women (6.2 percent), teenagers (20.8 percent), whites (6.2 percent), blacks
(12.5 percent), and Hispanics (8.7 percent) changed little in November. The jobless
rate for Asians was 5.3 percent (not seasonally adjusted), little changed from a year
earlier. (See tables A-1, A-2, and A-3.)

The number of persons unemployed less than 5 weeks declined by 300,000 in November,
partially reflecting the return to work of federal employees on furlough in October.
The number of long-term unemployed (those jobless for 27 weeks or more) was essentially
unchanged at 4.1 million in November. These individuals accounted for 37.3 percent of
the unemployed. The number of long-term unemployed has declined by 718,000 over the
past 12 months. (See table A-12.)

The civilian labor force rose by 455,000 in November, after declining by 720,000 in
October. The labor force participation rate changed little (63.0 percent) in November.
Total employment as measured by the household survey increased by 818,000 over the
month, following a decline of 735,000 in the prior month. This over-the-month increase
in employment partly reflected the return to work of furloughed federal government
employees. The employment-population ratio increased by 0.3 percentage point to 58.6
percent in November, reversing a decline of the same size in the prior month. (See
table A-1.)

The number of persons employed part time for economic reasons (sometimes referred to
as involuntary part-time workers) fell by 331,000 to 7.7 million in November. These
individuals were working part time because their hours had been cut back or because
they were unable to find a full-time job. (See table A-8.)

In November, 2.1 million persons were marginally attached to the labor force, down by
409,000 from a year earlier. (The data are not seasonally adjusted.) These individuals
were not in the labor force, wanted and were available for work, and had looked for a
job sometime in the prior 12 months. They were not counted as unemployed because they
had not searched for work in the 4 weeks preceding the survey. (See table A-16.)

Among the marginally attached, there were 762,000 discouraged workers in November, down
by 217,000 from a year ago. (The data are not seasonally adjusted.) Discouraged workers
are persons not currently looking for work because they believe no jobs are available
for them. The remaining 1.3 million persons marginally attached to the labor  force in
November had not searched for work for reasons such as school attendance or family
responsibilities. (See table A-16.)

Establishment Survey Data

Total nonfarm payroll employment increased by 203,000 in November. Job growth averaged
195,000 per month over the prior 12 months. In November, job gains occurred in
transportation and warehousing, health care, and manufacturing. (See table B-1.)

Employment in transportation and warehousing rose by 31,000 in November, with gains
in couriers and messengers (+9,000), truck transportation (+8,000), warehousing and
storage (+5,000), and air transportation (+3,000).

Health care employment continued to increase over the month (+28,000). Job gains occurred
in home healthcare services (+12,000) and offices of physicians (+7,000), while nursing
care facilities lost jobs (-4,000). Job growth in health care has averaged 19,000 per
month thus far this year, compared with an average monthly gain of 27,000 in 2012.

In November, manufacturing added 27,000 jobs. Within the industry, job gains occurred in
food manufacturing (+8,000) and in motor vehicles and parts (+7,000).

In November, employment in professional and business services continued to trend up
(+35,000). Over the prior 12 months, the industry added an average of 55,000 jobs per
month.

Retail trade employment also continued to expand in November (+22,000). Within the
industry, job growth occurred in general merchandise stores (+14,000); in sporting
goods, hobby, book, and music stores (+12,000); and in automobile dealers (+7,000).
Over the prior 12 months, job growth in retail trade averaged 31,000 per month.

Within leisure and hospitality, employment in food services and drinking places continued
to trend up in November (+18,000). Job growth in this industry averaged 28,000 per month
over the prior 12 months.

Employment in construction continued to trend up in November (+17,000). Monthly job
gains in the industry averaged 15,000 over the prior 12 months.

Federal government employment continued to decline (-7,000) in November. Over the past
12 months, federal government employment has decreased by 92,000.

Employment in other major industries, including mining and logging, wholesale trade,
information, and financial activities, showed little or no change in November.

The average workweek for all employees on private nonfarm payrolls edged up by
0.1 hour to 34.5 hours in November. The manufacturing workweek edged up by 0.1 hour
to 41.0 hours, and factory overtime edged up by 0.1 hour to 3.5 hours. The average
workweek for production and nonsupervisory employees on private nonfarm payrolls
edged up by 0.1 hour to 33.7 hours. (See tables B-2 and B-7.)

In November, average hourly earnings for all employees on private nonfarm payrolls rose
by 4 cents to $24.15. Over the year, average hourly earnings have risen by 48 cents,
or 2.0 percent. In November, average hourly earnings of production and nonsupervisory
employees increased by 3 cents to $20.31. (See tables B-3 and B-8.)

The change in total nonfarm payroll employment for September was revised from +163,000
to +175,000, and the change for October was revised from +204,000 to +200,000. With
these revisions, employment gains in September and October combined were 8,000 higher
than previously reported.

_____________
The Employment Situation for December is scheduled to be released on Friday,
January 10, 2014, at 8:30 a.m. (EST).

   ---------------------------------------------------------------------------------------
  |                                                                                       |
  |                           Household Survey Reference Period                           |
  |                                                                                       |
  |In the household survey, the reference period for November 2013 was the calendar week  |
  |that included the 5th of the month. Typically, the reference period for the household  |
  |survey is the calendar week that includes the 12th of the month. The November reference|
  |week was moved up in 2013 due to the timing of the November and December holidays. In  |
  |accordance with usual practice, this change is made in November when necessary to allow|
  |for sufficient time to process data and conduct survey operations.                     |
  |                                                                                       |
   ---------------------------------------------------------------------------------------

  ----------------------------------------------------------------------------------------
 |                                                                                        |
 |               Revision of Seasonally Adjusted Household Survey Data                    |
 |                                                                                        |
 |In accordance with usual practice, The Employment Situation release for December 2013,  |
 |scheduled for January 10, 2014, will incorporate annual revisions in seasonally adjusted|
 |unemployment and other labor force series from the household survey. Seasonally adjusted|
 |data for the most recent 5 years are subject to revision.                               |
 |                                                                                        |
   ---------------------------------------------------------------------------------------

  ---------------------------------------------------------------------------------------
  |                                                                                      |
  |                  Upcoming Change to the Household Survey Tables                      |
  |                                                                                      |
  |Effective with the release of January 2014 data on February 7, 2014, household survey |
  |table A-10 will include two new seasonally adjusted series for women age 55 and over— |
  |the number of unemployed persons and the unemployment rate. These will replace the    |
  |series that are currently displayed for this group, which are not seasonally adjusted.|
  |                                                                                      |
   --------------------------------------------------------------------------------------
HOUSEHOLD DATA
Summary table A. Household data, seasonally adjusted

[Numbers in thousands]
Category Nov.
2012
Sept.
2013
Oct.
2013
Nov.
2013
Change from:
Oct.
2013-
Nov.
2013
Employment status
Civilian noninstitutional population 244,174 246,168 246,381 246,567 186
Civilian labor force 155,319 155,559 154,839 155,294 455
Participation rate 63.6 63.2 62.8 63.0 0.2
Employed 143,277 144,303 143,568 144,386 818
Employment-population ratio 58.7 58.6 58.3 58.6 0.3
Unemployed 12,042 11,255 11,272 10,907 -365
Unemployment rate 7.8 7.2 7.3 7.0 -0.3
Not in labor force 88,855 90,609 91,541 91,273 -268
Unemployment rates
Total, 16 years and over 7.8 7.2 7.3 7.0 -0.3
Adult men (20 years and over) 7.2 7.1 7.0 6.7 -0.3
Adult women (20 years and over) 7.0 6.2 6.4 6.2 -0.2
Teenagers (16 to 19 years) 23.6 21.4 22.2 20.8 -1.4
White 6.8 6.3 6.3 6.2 -0.1
Black or African American 13.2 12.9 13.1 12.5 -0.6
Asian (not seasonally adjusted) 6.4 5.3 5.2 5.3 -
Hispanic or Latino ethnicity 9.9 9.0 9.1 8.7 -0.4
Total, 25 years and over 6.5 6.0 6.1 5.9 -0.2
Less than a high school diploma 12.1 10.3 10.9 10.8 -0.1
High school graduates, no college 8.1 7.6 7.3 7.3 0.0
Some college or associate degree 6.6 6.0 6.3 6.4 0.1
Bachelor’s degree and higher 3.9 3.7 3.8 3.4 -0.4
Reason for unemployment
Job losers and persons who completed temporary jobs 6,429 5,844 6,253 5,804 -449
Job leavers 926 989 861 893 32
Reentrants 3,325 3,181 3,117 3,073 -44
New entrants 1,326 1,222 1,223 1,165 -58
Duration of unemployment
Less than 5 weeks 2,596 2,596 2,761 2,461 -300
5 to 14 weeks 2,757 2,703 2,656 2,597 -59
15 to 26 weeks 1,820 1,804 1,782 1,766 -16
27 weeks and over 4,784 4,146 4,063 4,066 3
Employed persons at work part time
Part time for economic reasons 8,138 7,926 8,050 7,719 -331
Slack work or business conditions 5,084 4,960 5,047 4,869 -178
Could only find part-time work 2,648 2,557 2,599 2,486 -113
Part time for noneconomic reasons 18,594 18,967 18,786 18,876 90
Persons not in the labor force (not seasonally adjusted)
Marginally attached to the labor force 2,505 2,302 2,283 2,096 -
Discouraged workers 979 852 815 762 -
- Over-the-month changes are not displayed for not seasonally adjusted data.
NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data.
ESTABLISHMENT DATA
Summary table B. Establishment data, seasonally adjusted
Category Nov.
2012
Sept.
2013
Oct.
2013(p)
Nov.
2013(p)
EMPLOYMENT BY SELECTED INDUSTRY
(Over-the-month change, in thousands)
Total nonfarm 247 175 200 203
Total private 256 168 214 196
Goods-producing 43 29 31 44
Mining and logging 12 4 3 0
Construction 24 17 12 17
Manufacturing 7 8 16 27
Durable goods(1) 17 12 11 17
Motor vehicles and parts 9.7 2.5 4.1 6.7
Nondurable goods -10 -4 5 10
Private service-providing(1) 213 139 183 152
Wholesale trade 9.8 15.7 -8.1 6.8
Retail trade 69.6 23.3 45.8 22.3
Transportation and warehousing 20.2 36.9 3.1 30.5
Information 14 2 4 -1
Financial activities 5 -3 7 -3
Professional and business services(1) 55 47 48 35
Temporary help services 26.5 27.4 9.1 16.4
Education and health services(1) 14 14 30 40
Health care and social assistance 30.2 19.7 21.3 29.6
Leisure and hospitality 21 -1 49 17
Other services 7 4 4 4
Government -9 7 -14 7
WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES(2)
AS A PERCENT OF ALL EMPLOYEES
Total nonfarm women employees 49.4 49.4 49.4 49.4
Total private women employees 47.9 47.9 47.9 47.9
Total private production and nonsupervisory employees 82.6 82.6 82.6 82.6
HOURS AND EARNINGS
ALL EMPLOYEES
Total private
Average weekly hours 34.4 34.4 34.4 34.5
Average hourly earnings $23.67 $24.09 $24.11 $24.15
Average weekly earnings $814.25 $828.70 $829.38 $833.18
Index of aggregate weekly hours (2007=100)(3) 97.0 98.7 98.8 99.3
Over-the-month percent change 0.5 -0.1 0.1 0.5
Index of aggregate weekly payrolls (2007=100)(4) 109.5 113.3 113.6 114.4
Over-the-month percent change 0.9 0.0 0.3 0.7
HOURS AND EARNINGS
PRODUCTION AND NONSUPERVISORY EMPLOYEES
Total private
Average weekly hours 33.7 33.7 33.6 33.7
Average hourly earnings $19.88 $20.25 $20.28 $20.31
Average weekly earnings $669.96 $682.43 $681.41 $684.45
Index of aggregate weekly hours (2002=100)(3) 104.7 106.3 106.2 106.7
Over-the-month percent change 0.5 0.1 -0.1 0.5
Index of aggregate weekly payrolls (2002=100)(4) 138.9 143.8 143.9 144.8
Over-the-month percent change 0.7 0.3 0.1 0.6
DIFFUSION INDEX(5)
(Over 1-month span)
Total private (266 industries) 63.9 61.3 61.1 63.5
Manufacturing (81 industries) 52.5 54.3 56.8 63.0
Footnotes
(1) Includes other industries, not shown separately.
(2) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries.
(3) The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding annual average aggregate hours.
(4) The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding annual average aggregate weekly payrolls.
(5) Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal balance between industries with increasing and decreasing employment.
(p) Preliminary
Frequently Asked Questions about Employment and Unemployment Estimates

1. Why are there two monthly measures of employment?

   The household survey and establishment survey both produce sample-based estimates
   of   employment, and both have strengths and limitations. The establishment survey
   employment series has a   smaller margin of error on the measurement of month-to-
   month change   than the household survey because of its much larger sample size. An
   over-the-month employment change of about 100,000 is statistically significant in
   the establishment survey, while the threshold for a statistically significant change
   in the household survey is about 400,000. However, the household survey has a more
   expansive scope than the establishment survey because it includes self-employed
   workers whose businesses are unincorporated, unpaid family workers, agricultural
   workers, and private household workers, who are excluded by the establishment survey.
   The household survey also provides estimates of employment for demographic groups.
   For more information on the differences between the two surveys, please visit
   www.bls.gov/web/empsit/ces_cps_trends.pdf.

2. Are undocumented immigrants counted in the surveys?

   It is likely that both surveys include at least some undocumented immigrants. However,
   neither the establishment nor the household survey is designed to identify the legal
   status of workers. Therefore, it is not possible to determine how many are counted in
   either survey. The establishment survey does not collect data on the legal status of
   workers. The household survey does include questions which identify the foreign and
   native born, but it does not include questions about the legal status of the foreign
   born. Data on the foreign and native born are published each month in table A-7 of
   The Employment Situation news release.

3. Why does the establishment survey have revisions?

   The establishment survey revises published estimates to improve its data series by
   incorporating additional information that was not available at the time of the
   initial publication of the estimates. The establishment survey revises its initial
   monthly estimates twice, in the immediately succeeding 2 months, to incorporate
   additional sample receipts from respondents in the survey and recalculated seasonal
   adjustment factors. For more information on the monthly revisions, please visit
   www.bls.gov/ces/cesrevinfo.htm.

   On an annual basis, the establishment survey incorporates a benchmark revision that
   re-anchors estimates to nearly complete employment counts available from unemployment
   insurance tax records. The benchmark helps to control for sampling and modeling errors
   in the estimates. For more information on the annual benchmark revision, please visit
   www.bls.gov/web/empsit/cesbmart.htm.

4. Does the establishment survey sample include small firms?

   Yes; about 40 percent of the establishment survey sample is comprised of business
   establishments with fewer than 20 employees. The establishment survey sample is
   designed to maximize the reliability of the statewide total nonfarm employment
   estimate; firms from all states, size classes, and industries are appropriately
   sampled to achieve that goal.

5. Does the establishment survey account for employment from new businesses?

   Yes; monthly establishment survey estimates include an adjustment to account for
   the net employment change generated by business births and deaths. The adjustment
   comes from an econometric model that forecasts the monthly net jobs impact of
   business births and deaths based on the actual past values of the net impact that
   can be observed with a lag from the Quarterly Census of Employment and Wages. The
   establishment survey uses modeling rather than sampling for this purpose because
   the survey is not immediately able to bring new businesses into the sample. There
   is an unavoidable lag between the birth of a new firm and its appearance on the
   sampling frame and availability for selection. BLS adds new businesses to the survey
   twice a year.

6. Is the count of unemployed persons limited to just those people receiving unemployment
   insurance benefits?

   No; the estimate of unemployment is based on a monthly sample survey of households.
   All persons who are without jobs and are actively seeking and available to work are
   included among the unemployed. (People on temporary layoff are included even if
   they do not actively seek work.) There is no requirement or question relating to
   unemployment insurance benefits in the monthly survey.

7. Does the official unemployment rate exclude people who want a job but are not currently
   looking for work?

   Yes; however, there are separate estimates of persons outside the labor force who
   want a job, including those who are not currently looking because they believe no
   jobs are available (discouraged workers). In addition, alternative measures of labor
   underutilization (some of which include discouraged workers and other groups not
   officially counted as unemployed) are published each month in table A-15 of The
   Employment Situation news release. For more information about these alternative
   measures, please visit www.bls.gov/cps/lfcharacteristics.htm#altmeasures.

8. How can unusually severe weather affect employment and hours estimates?

   In the establishment survey, the reference period is the pay period that includes
   the 12th of the month. Unusually severe weather is more likely to have an impact on
   average weekly hours than on employment. Average weekly hours are estimated for paid
   time during the pay period, including pay for holidays, sick leave, or other time off.
   The impact of severe weather on hours estimates typically, but not always, results in
   a reduction in average weekly hours. For example, some employees may be off work for
   part of the pay period and not receive pay for the time missed, while some workers,
   such as those dealing with cleanup or repair, may work extra hours.

   In order for severe weather conditions to reduce the estimate of payroll employment,
   employees have to be off work without pay for the entire pay period. Slightly more
   than 20 percent of all employees in the payroll survey sample have a weekly pay
   period. Employees who receive pay for any part of the pay period, even 1 hour, are
   counted in the payroll employment figures. It is not possible to quantify the effect
   of extreme weather on estimates of over-the-month change in employment.

   In the household survey, the reference period is generally the calendar week that
   includes the 12th of the month. Persons who miss the entire week's work for weather-
   related events are counted as employed whether or not they are paid for the time
   off. The household survey collects data on the number of persons who had a job but
   were not at work due to bad weather. It also provides a measure of the number of
   persons who usually work full time but had reduced hours. Current and historical
   data are available on the  household survey's most requested statistics page at

http://data.bls.gov/cgi-bin/surveymost?ln.

Technical Note

   This news release presents statistics from two major surveys, the Current
Population Survey (CPS; household survey) and the Current Employment Statistics
survey (CES; establishment survey). The household survey provides information
on the labor force, employment, and unemployment that appears in the "A" tables,
marked HOUSEHOLD DATA. It is a sample survey of about 60,000 eligible households
conducted by the U.S. Census Bureau for the U.S. Bureau of Labor Statistics (BLS).

   The establishment survey provides information on employment, hours, and
earnings of employees on nonfarm payrolls; the data appear in the "B" tables,
marked ESTABLISHMENT DATA. BLS collects these data each month from the payroll
records of a sample of nonagricultural business establishments. Each month
the CES program surveys about 145,000 businesses and government agencies,
representing approximately 557,000 individual worksites, in order to provide
detailed industry data on employment, hours, and earnings of workers on nonfarm
payrolls. The active sample includes approximately one-third of all nonfarm
payroll employees.

   For both surveys, the data for a given month relate to a particular week or
pay period. In the household survey, the reference period is generally the
calendar week that contains the 12th day of the month. In the establishment
survey, the reference period is the pay period including the 12th, which may or
may not correspond directly to the calendar week.

Coverage, definitions, and differences between surveys

   Household survey. The sample is selected to reflect the entire civilian 
noninstitutional population. Based on responses to a series of questions on 
work and job search activities, each person 16 years and over in a sample
household is classified as employed, unemployed, or not in the labor force.

   People are classified as employed if they did any work at all as paid employees
during the reference week; worked in their own business, profession, or on their
own farm; or worked without pay at least 15 hours in a family business or farm.
People are also counted as employed if they were temporarily absent from their jobs
because of illness, bad weather, vacation, labor-management disputes, or personal
reasons.

   People are classified as unemployed if they meet all of the following criteria:
they had no employment during the reference week; they were available for work at
that time; and they made specific efforts to find employment sometime during the
4-week period ending with the reference week. Persons laid off from a job and
expecting recall need not be looking for work to be counted as unemployed. The
unemployment data derived from the household survey in no way depend upon the
eligibility for or receipt of unemployment insurance benefits.

   The civilian labor force is the sum of employed and unemployed persons.
Those persons not classified as employed or unemployed are not in the labor 
force. The unemployment rate is the number unemployed as a percent of the 
labor force. The labor force participation rate is the labor force as a 
percent of the population, and the employment-population ratio is the 
employed as a percent of the population. Additional information about the 
household survey can be found at www.bls.gov/cps/documentation.htm.

   Establishment survey. The sample establishments are drawn from private
nonfarm businesses such as factories, offices, and stores, as well as
from federal, state, and local government entities. Employees on nonfarm
payrolls are those who received pay for any part of the reference pay
period, including persons on paid leave. Persons are counted in each job
they hold. Hours and earnings data are produced for the private sector for
all employees and for production and nonsupervisory employees. Production
and nonsupervisory employees are defined as production and related employees
in manufacturing and mining and logging, construction workers in construction,
and nonsupervisory employees in private service-providing industries.

   Industries are classified on the basis of an establishment’s principal
activity in accordance with the 2012 version of the North American Industry
Classification System. Additional information about the establishment survey
can be found at www.bls.gov/ces/.

   Differences in employment estimates. The numerous conceptual and methodological
differences between the household and establishment  surveys result in important
distinctions in the employment estimates derived from the surveys. Among these are:

   --The household survey includes agricultural workers, self-employed workers
     whose businesses are unincorporated, unpaid family workers, and private
     household workers among the employed. These groups are excluded from the
     establishment survey.

   --The household survey includes people on unpaid leave among the employed.
     The establishment survey does not.

   --The household survey is limited to workers 16 years of age and older.
     The establishment survey is not limited by age.

   --The household survey has no duplication of individuals, because
     individuals are counted only once, even if they hold more than one
     job. In the establishment survey, employees working at more than one
     job and thus appearing on more than one payroll are counted separately
     for each appearance.

Seasonal adjustment

   Over the course of a year, the size of the nation's labor force and the levels
of employment and unemployment undergo regularly occurring fluctuations. These 
events may result from seasonal changes in weather, major holidays, and the opening
and closing of schools. The effect of such seasonal variation can be very large.

   Because these seasonal events follow a more or less regular pattern each year,
their influence on the level of a series can be tempered by adjusting for regular
seasonal variation. These adjustments make nonseasonal developments, such as
declines in employment or increases in the participation of women in the labor
force, easier to spot. For example, in the household survey, the large number of
youth entering the labor force each June is likely to obscure any other changes
that have taken place relative to May, making it difficult to determine if the 
level of economic activity has risen or declined. Similarly, in the establishment
survey, payroll employment in education declines by about 20 percent at the end
of the spring term and later rises with the start of the fall term, obscuring the
underlying employment trends in the industry. Because seasonal employment changes
at the end and beginning of the school year can be estimated, the statistics can be
adjusted to make underlying employment patterns more discernable.  The seasonally
adjusted figures provide a more useful tool with which to analyze changes in
month-to-month economic activity.

   Many seasonally adjusted series are independently adjusted in both the household
and establishment surveys. However, the adjusted series for many major estimates,
such as total payroll employment, employment in most major sectors, total employment,
and unemployment are computed by aggregating independently adjusted component series.
For example, total unemployment is derived by summing the adjusted series for four
major age-sex components; this differs from the unemployment estimate that would be
obtained by directly adjusting the total or by combining
the duration, reasons, or more detailed age categories.

   For both the household and establishment surveys, a concurrent seasonal adjustment
methodology is used in which new seasonal factors are calculated each month using all
relevant data, up to and including the data for the current month. In the household
survey, new seasonal factors are used to adjust only the current month's data. In the
establishment survey, however, new seasonal factors are used each month to adjust the
three most recent monthly estimates. The prior 2 months are routinely revised to
incorporate additional sample reports and recalculated seasonal adjustment factors.
In both surveys, 5-year revisions to historical data are made once a year.

Reliability of the estimates

   Statistics based on the household and establishment surveys are subject to both
sampling and nonsampling error. When a sample, rather than the entire population,
is surveyed, there is a chance that the sample estimates may differ from the true
population values they represent. The component of this difference that occurs
because samples differ by chance is known as sampling error, and its variability
is measured by the standard error of the estimate. There is about a 90-percent
chance, or level of confidence, that an estimate based on a sample will differ by
no more than 1.6 standard errors from the true population value because of sampling
error. BLS analyses are generally conducted at the 90-percent level of confidence.

   For example, the confidence interval for the monthly change in total nonfarm
employment from the establishment survey is on the order of plus or minus 90,000.
Suppose the estimate of nonfarm employment increases by 50,000 from one month to
the next. The 90-percent confidence interval on the monthly change would range from
-40,000 to +140,000 (50,000 +/- 90,000). These figures do not mean that the sample
results are off by these magnitudes, but rather that there is about a 90-percent
chance that the true over-the-month change lies within this interval. Since this
range includes values of less than zero, we could not say with confidence that
nonfarm employment had, in fact, increased that month. If, however, the reported
nonfarm employment rise was 250,000, then all of the values within the 90- percent
confidence interval would be greater than zero. In this case, it is likely (at
least a 90-percent chance) that nonfarm employment had, in fact, risen that month.
At an unemployment rate of around 6.0 percent, the 90-percent confidence interval
for the monthly change in unemployment as measured by the household survey is
about +/- 300,000, and for the monthly change in the unemployment rate it is about
+/- 0.2 percentage point.

   In general, estimates involving many individuals or establishments have lower
standard errors (relative to the size of the estimate) than estimates which are based
on a small number of observations. The precision of estimates also is improved when
the data are cumulated over time, such as for quarterly and annual averages.

   The household and establishment surveys are also affected by nonsampling error,
which can occur for many reasons, including the failure to sample a segment of the
population, inability to obtain information for all respondents in the sample,
inability or unwillingness of respondents to provide correct information on a
timely basis, mistakes made by respondents, and errors made in the collection or
processing of the data.

   For example, in the establishment survey, estimates for the most recent 2 months
are based on incomplete returns; for this reason, these estimates are labeled
preliminary in the tables. It is only after two successive revisions to a monthly
estimate, when nearly all sample reports have been received, that the estimate is
considered final.

   Another major source of nonsampling error in the establishment survey is the
inability to capture, on a timely basis, employment generated by new firms. To
correct for this systematic underestimation of employment growth, an estimation
procedure with two components is used to account for business births. The first
component excludes employment losses from business deaths from sample-based
estimation in order to offset the missing employment gains from business births.
This is incorporated into the sample-based estimation procedure by simply not
reflecting sample units going out of business, but imputing to them the same
employment trend as the other firms in the sample. This procedure accounts for
most of the net birth/death employment.

   The second component is an ARIMA time series model designed to estimate the
residual net birth/death employment not accounted for by the imputation. The
historical time series used to create and test the ARIMA model was derived from
the unemployment insurance universe micro- level database, and reflects the actual
residual net of births and deaths over the past 5 years.

   The sample-based estimates from the establishment survey are adjusted once a
year (on a lagged basis) to universe counts of payroll employment obtained from
administrative records of the unemployment insurance program. The difference 
between the March sample-based employment estimates and the March universe counts
is known as a benchmark revision, and serves as a rough proxy for total survey
error. The new benchmarks also incorporate changes in the classification of
industries. Over the past decade, absolute benchmark revisions for total nonfarm
employment have averaged 0.3 percent, with a range from -0.7 to 0.6 percent.

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Obama’s October Surprise: The August 2012 8.1% Unemployment Rate That Declined To 7.8 for September 2012 Faked and Manipulated By Census Bureau for Political Reasons — Jack Welch Was Right — Happy Birthday Jack — Video

Posted on November 19, 2013. Filed under: American History, Blogroll, College, Communications, Economics, Education, Employment, Federal Government, Federal Government Budget, Fiscal Policy, government, government spending, history, Inflation, Investments, Law, liberty, Links, Literacy, media, People, Philosophy, Photos, Politics, Raves, Regulations, Reviews, Talk Radio, Unemployment, Video, Wealth, Wisdom | Tags: , , , , , , , , , , , , , , , , , , , , , |

Now

November 19, 2013

gdp_large

Unemployment Rate

Series Id:           LNS14000000 Seasonally Adjusted Series title:        (Seas) Unemployment Rate Labor force status:  Unemployment rate Type of data:        Percent or rate Age:                 16 years and over

unemployment_rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 4.0 4.1 4.0 3.8 4.0 4.0 4.0 4.1 3.9 3.9 3.9 3.9
2001 4.2 4.2 4.3 4.4 4.3 4.5 4.6 4.9 5.0 5.3 5.5 5.7
2002 5.7 5.7 5.7 5.9 5.8 5.8 5.8 5.7 5.7 5.7 5.9 6.0
2003 5.8 5.9 5.9 6.0 6.1 6.3 6.2 6.1 6.1 6.0 5.8 5.7
2004 5.7 5.6 5.8 5.6 5.6 5.6 5.5 5.4 5.4 5.5 5.4 5.4
2005 5.3 5.4 5.2 5.2 5.1 5.0 5.0 4.9 5.0 5.0 5.0 4.9
2006 4.7 4.8 4.7 4.7 4.6 4.6 4.7 4.7 4.5 4.4 4.5 4.4
2007 4.6 4.5 4.4 4.5 4.4 4.6 4.7 4.6 4.7 4.7 4.7 5.0
2008 5.0 4.9 5.1 5.0 5.4 5.6 5.8 6.1 6.1 6.5 6.8 7.3
2009 7.8 8.3 8.7 9.0 9.4 9.5 9.5 9.6 9.8 10.0 9.9 9.9
2010 9.8 9.8 9.9 9.9 9.6 9.4 9.5 9.5 9.5 9.5 9.8 9.3
2011 9.1 9.0 8.9 9.0 9.0 9.1 9.0 9.0 9.0 8.9 8.6 8.5
2012 8.3 8.3 8.2 8.1 8.2 8.2 8.2 8.1 7.8 7.9 7.8 7.8
2013 7.9 7.7 7.6 7.5 7.6 7.6 7.4 7.3 7.2 7.3

Series Id:           LNS11300000
Seasonally Adjusted
Series title:        (Seas) Labor Force Participation Rate
Labor force status:  Civilian labor force participation rate
Type of data:        Percent or rate
Age:                 16 years and over

Labor_Force_Participation_Rate
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 67.3 67.3 67.3 67.3 67.1 67.1 66.9 66.9 66.9 66.8 66.9 67.0
2001 67.2 67.1 67.2 66.9 66.7 66.7 66.8 66.5 66.8 66.7 66.7 66.7
2002 66.5 66.8 66.6 66.7 66.7 66.6 66.5 66.6 66.7 66.6 66.4 66.3
2003 66.4 66.4 66.3 66.4 66.4 66.5 66.2 66.1 66.1 66.1 66.1 65.9
2004 66.1 66.0 66.0 65.9 66.0 66.1 66.1 66.0 65.8 65.9 66.0 65.9
2005 65.8 65.9 65.9 66.1 66.1 66.1 66.1 66.2 66.1 66.1 66.0 66.0
2006 66.0 66.1 66.2 66.1 66.1 66.2 66.1 66.2 66.1 66.2 66.3 66.4
2007 66.4 66.3 66.2 65.9 66.0 66.0 66.0 65.8 66.0 65.8 66.0 66.0
2008 66.2 66.0 66.1 65.9 66.1 66.1 66.1 66.1 66.0 66.0 65.9 65.8
2009 65.7 65.8 65.6 65.7 65.7 65.7 65.5 65.4 65.1 65.0 65.0 64.6
2010 64.8 64.9 64.9 65.1 64.9 64.6 64.6 64.7 64.6 64.4 64.6 64.3
2011 64.2 64.2 64.2 64.2 64.2 64.0 64.0 64.1 64.2 64.1 64.1 64.0
2012 63.7 63.9 63.8 63.6 63.8 63.8 63.7 63.5 63.6 63.8 63.6 63.6
2013 63.6 63.5 63.3 63.3 63.4 63.5 63.4 63.2 63.2 62.8

Rick Santelli Rages Against Media Over ‘Manipulated’ Unemployment Data Allegations

October 5th 2012 CNBC Stock Market Squawk Box (September Jobs Report)

Jobless Rate Drops Bellow 8 Percent – Jack Welch Weighs in On Cavuto!!

Jay Carney Swats Away ‘Conspiracy Theories’ About Faked 2012 Employment Data – 11-19-2013

Jack Welch: Jobs Data Too Good to Be True – CNBC’s The Kudlow Report

Jack Welch on Hardball w/Chris Matthews

Anderson Cooper Goes After Jack Welch Over Unemployment Numbers

UnEmployment Rate – New Jobs Report – Steve Forbes: Jack Welch Is Right!

Peter Schiff Explains the Questionable Unemployment Figures on his Dec. 7, 2012 Show

Census ‘faked’ 2012 election jobs report

By John Crudele

November 18, 2013 | 8:06pm

In the home stretch of the 2012 presidential campaign, from August to September, the unemployment rate fell sharply — raising eyebrows from Wall Street to Washington.

The decline — from 8.1 percent in August to 7.8 percent in September — might not have been all it seemed. The numbers, according to a reliable source, were manipulated.

And the Census Bureau, which does the unemployment survey, knew it.

Just two years before the presidential election, the Census Bureau had caught an employee fabricating data that went into the unemployment report, which is one of the most closely watched measures of the economy.

And a knowledgeable source says the deception went beyond that one employee — that it escalated at the time President Obama was seeking reelection in 2012 and continues today.

“He’s not the only one,” said the source, who asked to remain anonymous for now but is willing to talk with the Labor Department and Congress if asked.

The Census employee caught faking the results is Julius Buckmon, according to confidential Census documents obtained by The Post. Buckmon told me in an interview this past weekend that he was told to make up information by higher-ups at Census.

Ironically, it was Labor’s demanding standards that left the door open to manipulation.

Labor requires Census to achieve a 90 percent success rate on its interviews — meaning it needed to reach 9 out of 10 households targeted and report back on their jobs status.

Census currently has six regions from which surveys are conducted. The New York and Philadelphia regions, I’m told, had been coming up short of the 90 percent.

Philadelphia filled the gap with fake interviews.

“It was a phone conversation — I forget the exact words — but it was, ‘Go ahead and fabricate it’ to make it what it was,” Buckmon told me.

Census, under contract from the Labor Department, conducts the household survey used to tabulate the unemployment rate.

Interviews with some 60,000 household go into each month’s jobless number, which currently stands at 7.3 percent. Since this is considered a scientific poll, each one of the households interviewed represents 5,000 homes in the US.

Buckmon, it turns out, was a very ambitious employee. He conducted three times as many household interviews as his peers, my source said.

By making up survey results — and, essentially, creating people out of thin air and giving them jobs — Buckmon’s actions could have lowered the jobless rate.

Buckmon said he filled out surveys for people he couldn’t reach by phone or who didn’t answer their doors.

But, Buckmon says, he was never told how to answer the questions about whether these nonexistent people were employed or not, looking for work, or have given up.

But people who know how the survey works say that simply by creating people and filling out surveys in their name would boost the number of folks reported as employed.

Census never publicly disclosed the falsification. Nor did it inform Labor that its data was tainted.

“Yes, absolutely they should have told us,” said a Labor spokesman. “It would be normal procedure to notify us if there is a problem with data collection.”

Census appears to have looked into only a handful of instances of falsification by Buckmon, although more than a dozen instances were reported, according to internal documents.

In one document from the probe, Program Coordinator Joal Crosby was ask in 2010, “Why was the suspected … possible data falsification on all (underscored) other survey work for which data falsification was suspected not investigated by the region?”

On one document seen by The Post, Crosby hand-wrote the answer: “Unable to determine why an investigation was not done for CPS,” or the Current Population Survey — the official name for the unemployment report.

With regard to the Consumer Expenditure survey, only four instances of falsification were looked into, while 14 were reported.

I’ve been suspicious of the Census Bureau for a long time.

During the 2010 Census report — an enormous and costly survey of the entire country that goes on for a full year — I suspected (and wrote in a number of columns) that Census was inexplicably hiring and firing temporary workers.

I suspected that this turnover of employees was being done purposely to boost the number of new jobs being report each month. (The Labor Department does not use the Census Bureau for its other monthly survey of new jobs — commonly referred to as the Establishment Survey.)

Last week I offered to give all the information I have, including names, dates and charges to Labor’s inspector general.

I’m waiting to hear back from Labor.

I hope the next stop will be Congress, since manipulation of data like this not only gives voters the wrong impression of the economy but also leads lawmakers, the Federal Reserve and companies to make uninformed decisions.

To cite just one instance, the Fed is targeting the curtailment of its so-called quantitative easing money-printing/bond-buying fiasco to the unemployment rate for which Census provided the false information.

So falsifying this would, in essence, have dire consequences for the country.

http://nypost.com/2013/11/18/census-faked-2012-election-jobs-report/

New York Post Claims Census Falsifies Unemployment Figures

The New York Post is reporting an absolute bombshell story if true.  They claim the September 2012 unemployment report was manipulated and survey data was faked, just in time for the election.  The story quotes anonymous sources, insiders from the Census Bureau who claim to have falsified survey data for the unemployment report.

The decline — from 8.1 percent in August to 7.8 percent in September — might not have been all it seemed. The numbers, according to a reliable source, were manipulated.

And the Census Bureau, which does the unemployment survey, knew it.

Not only is the Post claiming the September 2012 unemployment surveys were manipulated but this is still going on today.  The Census actually caught one employee fabricating the unemployment statistics by falsifying survey results which should be answered by respondents.

Just two years before the presidential election, the Census Bureau had caught an employee fabricating data that went into the unemployment report, which is one of the most closely watched measures of the economy.

And a knowledgeable source says the deception went beyond that one employee — that it escalated at the time President Obama was seeking reelection in 2012 and continues today.

The story might very well be true.  The unemployment rate comes from surveys, sent out to 60,000 households spread out over 2,025 geographical areas of the country..  The Bureau of Labor Statistics gives great detail into the methodology used for these surveys.  The fraud reported by the New York Post comes from the 2200 Census employees who conduct the phone interviews each month for the Household survey.  Instead of doing their job and recording the answers from the interview questions of these households, a few individuals are falsifying the survey results.  If employees were falsifying interviews and this fudging of surveys is done with enough households, such fraud could skew the unemployment rate.

“He’s not the only one,” said the source, who asked to remain anonymous for now but is willing to talk with the Labor Department and Congress if asked.

The Census employee caught faking the results is Julius Buckmon, according to confidential Census documents obtained by The Post. Buckmon told me in an interview this past weekend that he was told to make up information by higher-ups at Census.

The Post claims the Census Bureau demands a 90% interview response rate and certain regions of the country that is hard to get.  So personnel are fudging the results and filling in the survey.  There might certainly be truth to this as employees are under pressure to produce results, no one answers their phones these days and who wants to be bothered by some Census Bureau employee asking a lot of obnoxious questions?

What is more odious is the BLS is not publishing actual response rates for the household survey.  If the Post article is true and the Census expects a 90% or greater response rate, that seems a little ridiculous demand by itself.  Below is a short explanation on how the unemployment report statistics are collected.  Read it and then imagine being part of this survey.  How accurate would you be or even responsive over time?

The survey is conducted by the U.S. Census Bureau for the Bureau of Labor Statistics. Each month, during the calendar week including the 19th day, Census interviewers contact households by telephone and in person and ask questions regarding the labor market activity of household members during the previous calendar week which included the 12th day of the month—the reference week. Personal visits are preferred in the first month in which the household is in the sample. At the first visit, interviewers prepare a roster of the household members including their demographic characteristics and their relationship to the person maintaining the household, and enter the information via laptop computers, along with responses to all survey questions.

In the months following the first interview, the interview is generally conducted by telephone. The household roster is checked for accuracy and brought up to date in each interview. About 10 percent of households are interviewed via computer-assisted telephone interviewing (CATI) by staff in three centralized calling centers. Other telephone interviews are collected by field representatives. A personal visit is generally attempted for the fifth interview. At the end of each day’s interviewing, the data are transmitted over secure telecommunications lines to the Census Bureau’s central computer in Washington, DC.

From the number of households and individual Census employees it is clear the Census would have to falsify many interviews to actually skew the survey results enough to manipulate the unemployment rate.  The Post story quotes the employee already busted for falsifying survey interview responses that he did so on the demand from management at the Census Bureau.

The question of intentional hoodwinking for political agendas versus low paid workers having to interview people all day on a quota is really unanswered.  Yet none of that matters.  If any portion of this story is true, it means data integrity is compromised.  All sorts of policies, funds, legislation and even Wall Street are tied to the unemployment rate.  Suspecting fictional statistics, just the concept, could result in no confidence of government statistics.  That is an unmitigated disaster on a host of fronts.

Census appears to have looked into only a handful of instances of falsification by Buckmon, although more than a dozen instances were reported, according to internal documents.

In one document from the probe, Program Coordinator Joal Crosby was ask in 2010, “Why was the suspected … possible data falsification on all (underscored) other survey work for which data falsification was suspected not investigated by the region?”

On one document seen by The Post, Crosby hand-wrote the answer: “Unable to determine why an investigation was not done for CPS,” or the Current Population Survey — the official name for the unemployment report.

With regard to the Consumer Expenditure survey, only four instances of falsification were looked into, while 14 were reported.

We look at the unemployment statistics in great detail every month and the way to prove the Census is falsifying data is by a probability and error margin analysis check.  Such an analysis is quite involved.  To detect Census employee fraud, such an analysis should be performed on individual employee interview results.  This still leaves the question of how honest actual survey respondents are as well.  In terms of statistical accuracy, we’ve never liked the Household survey.  The error margin is too great and we believe the Census should cross correlate survey results with other labor market metrics for a reality check.  While not a poll, a survey is just that, asking people to volunteerinformation.  To make matters worse, recently some of the revisions to GDP methodology are truly questionable and the last thing America needs is even more manipulated or skewed economic statistics

At the time the September 2012 unemployment report was released, the results were so extreme we compared it to falling through a worm hole in statistical space.  Yet that month is not the only one which seems to be skewed.  Every month we analyze these reports digging out the figures to explain the unbelievable, such as the unemployment rate dropping dramatically while the net gain of those employed is basically static.

We question the conspiracy element of the Post story that the Census would actually falsify the unemployment rate to skew an election.  The reason that seems absurd is the press pays no attention to the pathetic labor market and neither Presidential candidate in 2012 was offering a damn thing to actually increase jobs.  It is also doubtful a sudden drop in the unemployment rate would sway the election results, even though the official unemployment rate sweeps millions of Americans needing a job under the political and statistical rug.

What could very well be true is an increasing nonresponse rate to Census survey unemployment questions.  Generally speaking people do not have the time, feel obligated to answer such surveys or even pick up a land line, unlike 50 years ago.  We also question how honest people are who do answer surveys as well as the type of person to respond versus those who do not.  Just by asking individuals would seem to put bias into the sampling group.  One would think America could obtain more accurate data collection methods than a survey in order to find out what people are doing each month for work.  After all, the NSA knows every single thing we say or do these days.

http://www.economicpopulist.org/content/new-york-post-claims-census-falsifies-unemployment-figures-5436

Then

October 5, 2012

Over 23 Million Americans Looking For A Full Time Job As The Total Unemployment Rate U-6 Unchanged At 14.7%–Unemployment Rate U-3 Drops To 7.8% The Same Rate As January 2009!–Obama’s October Surprise As GDP Growth Rate Falls–Videos

Describing “Shadow Government Statistics” — John Williams 

Unemployment Rate Falls to 7.8% on New Jobs Report

BREAKING: U.S. Adds 114,000 Jobs, Unemployment Rate Drops to 7.8 

October 5th 2012 CNBC Stock Market Squawk Box (September Jobs Report) 

Today’s report includes a surprise drop in the unemployment rate-but it is statistically questionable. Payroll numbers continued modest improvement. The unemployment rate unexpectedly dropped to 7.8 percent, following a decline to 8.1 percent in August. Payroll jobs in September gained about as expected with a modest 114,000 increase, following an rise in August of 142,000 (originally up 96,000) and an increase of 181,000 in July (previous estimate of 141,000). The net revisions for July and August were up 86,000. Market expectations were for a 113,000 boost for September.

Private payrolls advanced 104,000 in September after increasing 97,000 the month before. The consensus projected a 130,000 increase.

Wage inflation has been volatile and the latest number was on the up side. Average hourly earnings growth improved to 0.3 percent in September, following no change in August. Analysts forecast a 0.2 percent rise. The average workweek nudged up to 34.5 hours in September from 34.4 hours in August. Expectations were for 34.4 hours.

Turning to the household survey, the unemployment rate drop reflected an 873,000 spike in household employment versus a 368,000 drop in August. The labor force rebounded 418,000 after a 368,000 decrease in August. The household survey is much smaller than the payroll survey and is more volatile

September Unemployment Falls to 7.8% 

Jack Welch Hardball w/Chris Matthews 10/5/12 

Jack Welch, the lionized former chairman of General Electric Co, provoked cries of outrage in Washington on Friday when he appeared to accuse the White House of manipulating September job figures for political gains.
White House officials dismissed as “ludicrous” a tweet Welch sent to his more than 1.3 million followers that suggested U.S. President Barack Obama’s administration rigged the data as a way of recovering from a poor Wednesday night showing in a debate against Mitt Romney, his Republican challenger for the White House.

“Unbelievable jobs numbers..these Chicago guys will do anything..can’t debate so change numbers,” Welch said in a posting on Twitter, apparently referring to Obama, who formerly served as a senator from Illinois.

The tweet was repeated more than 2,000 times, with many mocking posts comparing Welch to New York real estate tycoon Donald Trump – who during his failed bid for the presidency loudly argued that Obama was not born in the United States – and Clint Eastwood, who gave a widely panned speech to an empty chair at the Republican National Convention in August.
Officials in Washington quickly dismissed the idea that the Labor Department report – which showed U.S. unemployment falling to a four-year low of 7.8 percent – could be rigged.
“That’s a ludicrous comment. No serious person believes that the bureau of labor statistics manipulates its statistics,” said Alan Krueger, chairman of the White House Council of Economic Advisers. “The jobs report and all of their other statistics are prepared by career employees. They use the same process every month. They use the same process for Republican and Democratic administrations.”

The tweet was by no means Welch’s first criticism of Obama on his Twitter feed, where he has regularly spoken out in favor of Romney, as well as weighing in on sports. During the presidential debate in Denver, Colorado, on Wednesday night, Welch tweeted: “HOW can anyone vote for Obama after this performance..he has demonstrated his incompetence.”

Word of the Day: Unemployment (U3 and U6) 

FACT CHECK: LABOR SECRETARY SOLIS MISLEADS ON JOBS REVISIONS 

The AFL-CIO Reacts to the September BLS Jobs Report 

Employment Level

142,974,000

Series Id:           LNS12000000
Seasonally Adjusted
Series title:        (Seas) Employment Level
Labor force status:  Employed
Type of data:        Number in thousands
Age:                 16 years and over

Employment Level

Employment Level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 136559(1) 136598 136701 137270 136630 136940 136531 136662 136893 137088 137322 137614
2001 137778 137612 137783 137299 137092 136873 137071 136241 136846 136392 136238 136047
2002 135701 136438 136177 136126 136539 136415 136413 136705 137302 137008 136521 136426
2003 137417(1) 137482 137434 137633 137544 137790 137474 137549 137609 137984 138424 138411
2004 138472(1) 138542 138453 138680 138852 139174 139556 139573 139487 139732 140231 140125
2005 140245(1) 140385 140654 141254 141609 141714 142026 142434 142401 142548 142499 142752
2006 143150(1) 143457 143741 143761 144089 144353 144202 144625 144815 145314 145534 145970
2007 146028(1) 146057 146320 145586 145903 146063 145905 145682 146244 145946 146595 146273
2008 146397(1) 146157 146108 146130 145929 145738 145530 145196 145059 144792 144078 143328
2009 142187(1) 141660 140754 140654 140294 140003 139891 139458 138775 138401 138607 137968
2010 138500(1) 138665 138836 139306 139340 139137 139139 139338 139344 139072 138937 139220
2011 139330(1) 139551 139764 139628 139808 139385 139450 139754 140107 140297 140614 140790
2012 141637(1) 142065 142034 141865 142287 142415 142220 142101 142974
1 : Data affected by changes in population controls.

Civilian Labor Force

155,063,000

Series Id:           LNS11000000
Seasonally Adjusted
Series title:        (Seas) Civilian Labor Force Level
Labor force status:  Civilian labor force
Type of data:        Number in thousands
Age:                 16 years and over

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 142267(1) 142456 142434 142751 142388 142591 142278 142514 142518 142622 142962 143248
2001 143800 143701 143924 143569 143318 143357 143654 143284 143989 144086 144240 144305
2002 143883 144653 144481 144725 144938 144808 144803 145009 145552 145314 145041 145066
2003 145937(1) 146100 146022 146474 146500 147056 146485 146445 146530 146716 147000 146729
2004 146842(1) 146709 146944 146850 147065 147460 147692 147564 147415 147793 148162 148059
2005 148029(1) 148364 148391 148926 149261 149238 149432 149779 149954 150001 150065 150030
2006 150214(1) 150641 150813 150881 151069 151354 151377 151716 151662 152041 152406 152732
2007 153144(1) 152983 153051 152435 152670 153041 153054 152749 153414 153183 153835 153918
2008 154075(1) 153648 153925 153761 154325 154316 154480 154646 154559 154875 154622 154626
2009 154236(1) 154521 154143 154450 154800 154730 154538 154319 153786 153822 153833 153091
2010 153454(1) 153704 153964 154528 154216 153653 153748 154073 153918 153709 154041 153613
2011 153250(1) 153302 153392 153420 153700 153409 153358 153674 154004 154057 153937 153887
2012 154395(1) 154871 154707 154365 155007 155163 155013 154645 155063
1 : Data affected by changes in population controls.

Labor Force Participation Rate

63.6%

Series Id:           LNS11300000
Seasonally Adjusted
Series title:        (Seas) Labor Force Participation Rate
Labor force status:  Civilian labor force participation rate
Type of data:        Percent or rate
Age:                 16 years and over

Labor Force Participation Rate

Labor Force Participation Rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 67.3 67.3 67.3 67.3 67.1 67.1 66.9 66.9 66.9 66.8 66.9 67.0
2001 67.2 67.1 67.2 66.9 66.7 66.7 66.8 66.5 66.8 66.7 66.7 66.7
2002 66.5 66.8 66.6 66.7 66.7 66.6 66.5 66.6 66.7 66.6 66.4 66.3
2003 66.4 66.4 66.3 66.4 66.4 66.5 66.2 66.1 66.1 66.1 66.1 65.9
2004 66.1 66.0 66.0 65.9 66.0 66.1 66.1 66.0 65.8 65.9 66.0 65.9
2005 65.8 65.9 65.9 66.1 66.1 66.1 66.1 66.2 66.1 66.1 66.0 66.0
2006 66.0 66.1 66.2 66.1 66.1 66.2 66.1 66.2 66.1 66.2 66.3 66.4
2007 66.4 66.3 66.2 65.9 66.0 66.0 66.0 65.8 66.0 65.8 66.0 66.0
2008 66.2 66.0 66.1 65.9 66.1 66.1 66.1 66.1 65.9 66.0 65.8 65.8
2009 65.7 65.8 65.6 65.6 65.7 65.7 65.5 65.4 65.1 65.0 65.0 64.6
2010 64.8 64.9 64.9 65.1 64.9 64.6 64.6 64.7 64.6 64.4 64.5 64.3
2011 64.2 64.2 64.2 64.2 64.2 64.1 64.0 64.1 64.1 64.1 64.0 64.0
2012 63.7 63.9 63.8 63.6 63.8 63.8 63.7 63.5 63.6

Unemployment Level

12,088,000

Series Id:           LNS13000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Level
Labor force status:  Unemployed
Type of data:        Number in thousands
Age:                 16 years and over

Unemployment Level

Unemployment Level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5708 5858 5733 5481 5758 5651 5747 5853 5625 5534 5639 5634
2001 6023 6089 6141 6271 6226 6484 6583 7042 7142 7694 8003 8258
2002 8182 8215 8304 8599 8399 8393 8390 8304 8251 8307 8520 8640
2003 8520 8618 8588 8842 8957 9266 9011 8896 8921 8732 8576 8317
2004 8370 8167 8491 8170 8212 8286 8136 7990 7927 8061 7932 7934
2005 7784 7980 7737 7672 7651 7524 7406 7345 7553 7453 7566 7279
2006 7064 7184 7072 7120 6980 7001 7175 7091 6847 6727 6872 6762
2007 7116 6927 6731 6850 6766 6979 7149 7067 7170 7237 7240 7645
2008 7678 7491 7816 7631 8395 8578 8950 9450 9501 10083 10544 11299
2009 12049 12860 13389 13796 14505 14727 14646 14861 15012 15421 15227 15124
2010 14953 15039 15128 15221 14876 14517 14609 14735 14574 14636 15104 14393
2011 13919 13751 13628 13792 13892 14024 13908 13920 13897 13759 13323 13097
2012 12758 12806 12673 12500 12720 12749 12794 12544 12088

Unemployment Rate U-3

7.8%

Series Id:           LNS14000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 4.0 4.1 4.0 3.8 4.0 4.0 4.0 4.1 3.9 3.9 3.9 3.9
2001 4.2 4.2 4.3 4.4 4.3 4.5 4.6 4.9 5.0 5.3 5.5 5.7
2002 5.7 5.7 5.7 5.9 5.8 5.8 5.8 5.7 5.7 5.7 5.9 6.0
2003 5.8 5.9 5.9 6.0 6.1 6.3 6.2 6.1 6.1 6.0 5.8 5.7
2004 5.7 5.6 5.8 5.6 5.6 5.6 5.5 5.4 5.4 5.5 5.4 5.4
2005 5.3 5.4 5.2 5.2 5.1 5.0 5.0 4.9 5.0 5.0 5.0 4.9
2006 4.7 4.8 4.7 4.7 4.6 4.6 4.7 4.7 4.5 4.4 4.5 4.4
2007 4.6 4.5 4.4 4.5 4.4 4.6 4.7 4.6 4.7 4.7 4.7 5.0
2008 5.0 4.9 5.1 5.0 5.4 5.6 5.8 6.1 6.1 6.5 6.8 7.3
2009 7.8 8.3 8.7 8.9 9.4 9.5 9.5 9.6 9.8 10.0 9.9 9.9
2010 9.7 9.8 9.8 9.9 9.6 9.4 9.5 9.6 9.5 9.5 9.8 9.4
2011 9.1 9.0 8.9 9.0 9.0 9.1 9.1 9.1 9.0 8.9 8.7 8.5
2012 8.3 8.3 8.2 8.1 8.2 8.2 8.3 8.1 7.8

Unemployment Rate U-6

14.7%

Series Id:           LNS13327709 

Seasonally Adjusted 
Series title:        (seas) Total unemployed, plus all marginally attached workers 
                      plus total employed part time for economic reasons, as a percent of all civilian labor force
                      plus all marginally attached workers 
Labor force status:  Aggregated totals unemployed 
Type of data:        Percent or rate 
Age:                 16 years and over 
Percent/rates:       Unemployed and mrg attached and pt for econ reas as percent of labor force 
                     plus marg attached

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 7.1 7.2 7.1 6.9 7.1 7.0 7.0 7.1 7.0 6.8 7.1 6.9
2001 7.3 7.4 7.3 7.4 7.5 7.9 7.8 8.1 8.7 9.3 9.4 9.6
2002 9.5 9.5 9.4 9.7 9.5 9.5 9.6 9.6 9.6 9.6 9.7 9.8
2003 10.0 10.2 10.0 10.2 10.1 10.3 10.3 10.1 10.4 10.2 10.0 9.8
2004 9.9 9.7 10.0 9.6 9.6 9.5 9.5 9.4 9.4 9.7 9.4 9.2
2005 9.3 9.3 9.1 8.9 8.9 9.0 8.8 8.9 9.0 8.7 8.7 8.6
2006 8.4 8.4 8.2 8.1 8.2 8.4 8.5 8.4 8.0 8.2 8.1 7.9
2007 8.4 8.2 8.0 8.2 8.2 8.3 8.4 8.4 8.4 8.4 8.4 8.8
2008 9.2 9.0 9.1 9.2 9.7 10.1 10.5 10.8 11.1 11.8 12.7 13.5
2009 14.2 15.1 15.7 15.8 16.4 16.5 16.5 16.7 16.8 17.2 17.1 17.1
2010 16.7 16.9 16.9 17.0 16.6 16.5 16.5 16.6 16.9 16.8 16.9 16.6
2011 16.1 15.9 15.7 15.9 15.8 16.2 16.1 16.2 16.4 16.0 15.6 15.2
2012 15.1 14.9 14.5 14.5 14.8 14.9 15.0 14.7 14.7

Background Articles and Videos

Employment Situation Summary

Transmission of material in this release is embargoed                   USDL-12-1981
until 8:30 a.m. (EDT) Friday, October 5, 2012

Technical information:
 Household data:       (202) 691-6378  *  cpsinfo@bls.gov  *  www.bls.gov/cps
 Establishment data:   (202) 691-6555  *  cesinfo@bls.gov  *  www.bls.gov/ces

Media contact:         (202) 691-5902  *  PressOffice@bls.gov

                    THE EMPLOYMENT SITUATION -- SEPTEMBER 2012

The unemployment rate decreased to 7.8 percent in September, and total nonfarm 
payroll employment rose by 114,000, the U.S. Bureau of Labor Statistics reported 
today. Employment increased in health care and in transportation and warehousing 
but changed little in most other major industries.

Household Survey Data

The unemployment rate declined by 0.3 percentage point to 7.8 percent in September. 
For the first 8 months of the year, the rate held within a narrow range of 8.1 
and 8.3 percent. The number of unemployed persons, at 12.1 million, decreased by 
456,000 in September. (See table A-1.)

Among the major worker groups, the unemployment rates for adult men (7.3 percent), 
adult women (7.0 percent), and whites (7.0 percent) declined over the month. 
The unemployment rates for teenagers (23.7 percent), blacks (13.4 percent), and 
Hispanics (9.9 percent) were little changed. The jobless rate for Asians, at 
4.8 percent (not seasonally adjusted), fell over the year. (See tables A-1, A-2, 
and A-3.)

In September, the number of job losers and persons who completed temporary jobs 
decreased by 468,000 to 6.5 million. (See table A-11.)

The number of persons unemployed for less than 5 weeks declined by 302,000 over 
the month to 2.5 million. The number of long-term unemployed (those jobless for 
27 weeks or more) was little changed at 4.8 million and accounted for 40.1 
percent of the unemployed. (See table A-12.)

Total employment rose by 873,000 in September, following 3 months of little 
change. The employment-population ratio increased by 0.4 percentage point to 
58.7 percent, after edging down in the prior 2 months. The overall trend in 
the employment-population ratio for this year has been flat. The civilian labor 
force rose by 418,000 to 155.1 million in September, while the labor force 
participation rate was little changed at 63.6 percent. (See table A-1.)

The number of persons employed part time for economic reasons (sometimes 
referred to as involuntary part-time workers) rose from 8.0 million in August 
to 8.6 million in September. These individuals were working part time because 
their hours had been cut back or because they were unable to find a full-time 
job. (See table A-8.)

In September, 2.5 million persons were marginally attached to the labor force, 
essentially unchanged from a year earlier. (These data are not seasonally 
adjusted.) These individuals were not in the labor force, wanted and were 
available for work, and had looked for a job sometime in the prior 12 months. 
They were not counted as unemployed because they had not searched for work 
in the 4 weeks preceding the survey. (See table A-16.)

Among the marginally attached, there were 802,000 discouraged workers in 
September, a decline of 235,000 from a year earlier. (These data are not 
seasonally adjusted.) Discouraged workers are persons not currently looking 
for work because they believe no jobs are available for them. The remaining 
1.7 million persons marginally attached to the labor force in September had 
not searched for work in the 4 weeks preceding the survey for reasons such 
as school attendance or family responsibilities. (See table A-16.)

Establishment Survey Data

Total nonfarm payroll employment increased by 114,000 in September. In 2012, 
employment growth has averaged 146,000 per month, compared with an average 
monthly gain of 153,000 in 2011. In September, employment rose in health care 
and in transportation and warehousing. (See table B-1.)

Health care added 44,000 jobs in September. Job gains continued in ambulatory 
health care services (+30,000) and hospitals (+8,000). Over the past year, 
employment in health care has risen by 295,000.

In September, employment increased by 17,000 in transportation and warehousing. 
Within the industry, there were job gains in transit and ground passenger 
transportation (+9,000) and in warehousing and storage (+4,000).

Employment in financial activities edged up in September (+13,000), reflecting 
modest job growth in credit intermediation (+6,000) and real estate (+7,000).

Manufacturing employment edged down in September (-16,000). On net, manufacturing 
employment has been unchanged since April. In September, job losses occurred 
in computer and electronic products (-6,000) and in printing and related 
activities (-3,000).

Employment in other major industries, including mining and logging, construction, 
wholesale trade, retail trade, information, professional and business services, 
leisure and hospitality, and government, showed little change over the month.

The average workweek for all employees on private nonfarm payrolls edged up by 
0.1 hour to 34.5 hours in September. The manufacturing workweek edged up by 
0.1 hour to 40.6 hours, and factory overtime was unchanged at 3.2 hours. 
The average workweek for production and nonsupervisory employees on private 
nonfarm payrolls was unchanged at 33.7 hours. (See tables B-2 and B-7.)

In September, average hourly earnings for all employees on private nonfarm 
payrolls rose by 7 cents to $23.58. Over the past 12 months, average hourly 
earnings have risen by 1.8 percent. In September, average hourly earnings of 
private-sector production and nonsupervisory employees increased by 5 cents 
to $19.81. (See tables B-3 and B-8.)

The change in total nonfarm payroll employment for July was revised from 
+141,000 to +181,000, and the change for August was revised from +96,000 to 
+142,000.

____________
The Employment Situation for October is scheduled to be released on
Friday, November 2, 2012, at 8:30 a.m. (EDT).
http://www.bls.gov/news.release/empsit.nr0.htmEmployment Situation Summary Table A. Household data, seasonally adjusted

[Numbers in thousands]

HOUSEHOLD DATA Summary table A. Household data, seasonally adjusted
Category Sept. 2011 July 2012 Aug. 2012 Sept. 2012 Change from: Aug. 2012- Sept. 2012
Employment status
Civilian noninstitutional population 240,071 243,354 243,566 243,772 206
Civilian labor force 154,004 155,013 154,645 155,063 418
Participation rate 64.1 63.7 63.5 63.6 0.1
Employed 140,107 142,220 142,101 142,974 873
Employment-population ratio 58.4 58.4 58.3 58.7 0.4
Unemployed 13,897 12,794 12,544 12,088 -456
Unemployment rate 9.0 8.3 8.1 7.8 -0.3
Not in labor force 86,067 88,340 88,921 88,710 -211
Unemployment rates
Total, 16 years and over 9.0 8.3 8.1 7.8 -0.3
Adult men (20 years and over) 8.7 7.7 7.6 7.3 -0.3
Adult women (20 years and over) 8.1 7.5 7.3 7.0 -0.3
Teenagers (16 to 19 years) 24.5 23.8 24.6 23.7 -0.9
White 7.9 7.4 7.2 7.0 -0.2
Black or African American 15.9 14.1 14.1 13.4 -0.7
Asian (not seasonally adjusted) 7.8 6.2 5.9 4.8 -
Hispanic or Latino ethnicity 11.3 10.3 10.2 9.9 -0.3
Total, 25 years and over 7.7 6.9 6.8 6.6 -0.2
Less than a high school diploma 13.9 12.7 12.0 11.3 -0.7
High school graduates, no college 9.6 8.7 8.8 8.7 -0.1
Some college or associate degree 8.4 7.1 6.6 6.5 -0.1
Bachelor’s degree and higher 4.2 4.1 4.1 4.1 0.0
Reason for unemployment
Job losers and persons who completed temporary jobs 8,028 7,123 7,003 6,535 -468
Job leavers 972 878 942 957 15
Reentrants 3,484 3,380 3,318 3,306 -12
New entrants 1,323 1,311 1,277 1,247 -30
Duration of unemployment
Less than 5 weeks 2,743 2,711 2,844 2,542 -302
5 to 14 weeks 2,902 3,092 2,868 2,826 -42
15 to 26 weeks 2,029 1,760 1,845 1,860 15
27 weeks and over 6,197 5,185 5,033 4,844 -189
Employed persons at work part time
Part time for economic reasons 9,270 8,246 8,031 8,613 582
Slack work or business conditions 5,900 5,342 5,217 5,523 306
Could only find part-time work 2,844 2,576 2,507 2,572 65
Part time for noneconomic reasons 18,329 18,866 18,996 18,736 -260
Persons not in the labor force (not seasonally adjusted)
Marginally attached to the labor force 2,511 2,529 2,561 2,517 -
Discouraged workers 1,037 852 844 802 -
-  Over-the-month changes are not displayed for not seasonally adjusted data. NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data.

Employment Situation Summary Table B. Establishment data, seasonally adjusted

ESTABLISHMENT DATA Summary table B. Establishment data, seasonally adjusted
Category Sept. 2011 July 2012 Aug. 2012(p) Sept. 2012(p)
EMPLOYMENT BY SELECTED INDUSTRY (Over-the-month change, in thousands)
Total nonfarm 202 181 142 114
Total private 216 163 97 104
Goods-producing 33 20 -22 -10
Mining and logging 6 -1 -1 1
Construction 30 3 1 5
Manufacturing -3 18 -22 -16
Durable goods(1) 4 18 -20 -13
Motor vehicles and parts 2.9 12.8 -6.9 -3.4
Nondurable goods -7 0 -2 -3
Private service-providing(1) 183 143 119 114
Wholesale trade -3.0 8.8 7.0 -1.6
Retail trade 14.2 3.2 8.3 9.4
Transportation and warehousing 1.8 14.2 7.7 17.1
Information 34 8 1 -6
Financial activities -6 1 7 13
Professional and business services(1) 59 41 19 13
Temporary help services 23.7 13.0 0.1 -2.0
Education and health services(1) 58 40 25 49
Health care and social assistance 47.5 27.7 22.2 44.5
Leisure and hospitality 20 24 38 11
Other services 3 9 -2 9
Government -14 18 45 10
WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES(2) AS A PERCENT OF ALL EMPLOYEES
Total nonfarm women employees 49.4 49.3 49.3 49.3
Total private women employees 47.9 47.8 47.8 47.8
Total private production and nonsupervisory employees 82.5 82.6 82.6 82.6
HOURS AND EARNINGS ALL EMPLOYEES
Total private
Average weekly hours 34.4 34.4 34.4 34.5
Average hourly earnings $23.16 $23.52 $23.51 $23.58
Average weekly earnings $796.70 $809.09 $808.74 $813.51
Index of aggregate weekly hours (2007=100)(3) 94.5 95.9 96.0 96.4
Over-the-month percent change 0.4 -0.2 0.1 0.4
Index of aggregate weekly payrolls (2007=100)(4) 104.4 107.6 107.7 108.4
Over-the-month percent change 0.7 -0.1 0.1 0.6
HOURS AND EARNINGS PRODUCTION AND NONSUPERVISORY EMPLOYEES
Total private
Average weekly hours 33.6 33.7 33.7 33.7
Average hourly earnings $19.53 $19.77 $19.76 $19.81
Average weekly earnings $656.21 $666.25 $665.91 $667.60
Index of aggregate weekly hours (2002=100)(3) 101.5 103.5 103.6 103.7
Over-the-month percent change 0.2 0.1 0.1 0.1
Index of aggregate weekly payrolls (2002=100)(4) 132.5 136.7 136.8 137.3
Over-the-month percent change 0.4 0.3 0.1 0.4
DIFFUSION INDEX(5) (Over 1-month span)
Total private (266 industries) 57.9 54.9 51.3 52.8
Manufacturing (81 industries) 53.7 48.8 38.9 39.5
Footnotes (1) Includes other industries, not shown separately. (2) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. (3) The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding annual average aggregate hours. (4) The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding annual average aggregate weekly payrolls. (5) Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal balance between industries with increasing and decreasing employment. (p) Preliminary
NOTE:  Data in this table have been corrected.  For more information see http://www.bls.gov/bls/ceswomen_usps_correction.htm.
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Labor Participation Drops To Low of 62.8% Lowest in 35 Years — Record 91.5 Million Americans Not In Labor Force —720,000 Leave Labor Force in October — U-3 Unemployment Rate Increases to 7.3%

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sgs-emp

November 8th 2013 CNBC Stock Market Squawk Box (October Jobs Report)

Employment Level

143,568,000

Series Id:           LNS12000000
Seasonally Adjusted
Series title:        (Seas) Employment Level
Labor force status:  Employed
Type of data:        Number in thousands
Age:                 16 years and over

Employment_Level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 136559(1) 136598 136701 137270 136630 136940 136531 136662 136893 137088 137322 137614
2001 137778 137612 137783 137299 137092 136873 137071 136241 136846 136392 136238 136047
2002 135701 136438 136177 136126 136539 136415 136413 136705 137302 137008 136521 136426
2003 137417(1) 137482 137434 137633 137544 137790 137474 137549 137609 137984 138424 138411
2004 138472(1) 138542 138453 138680 138852 139174 139556 139573 139487 139732 140231 140125
2005 140245(1) 140385 140654 141254 141609 141714 142026 142434 142401 142548 142499 142752
2006 143150(1) 143457 143741 143761 144089 144353 144202 144625 144815 145314 145534 145970
2007 146028(1) 146057 146320 145586 145903 146063 145905 145682 146244 145946 146595 146273
2008 146378(1) 146156 146086 146132 145908 145737 145532 145203 145076 144802 144100 143369
2009 142153(1) 141644 140721 140652 140250 140005 139898 139481 138810 138421 138665 138025
2010 138439(1) 138624 138767 139296 139255 139148 139167 139405 139388 139097 139046 139295
2011 139253(1) 139471 139643 139606 139681 139405 139509 139870 140164 140314 140771 140896
2012 141608(1) 142019 142020 141934 142302 142448 142250 142164 142974 143328 143277 143305
2013 143322(1) 143492 143286 143579 143898 144058 144285 144170 144303 143568
1 : Data affected by changes in population controls.

Civilian Labor Force Level

154,839,000

Series Id:           LNS11000000
Seasonally Adjusted
Series title:        (Seas) Civilian Labor Force Level
Labor force status:  Civilian labor force
Type of data:        Number in thousands
Age:                 16 years and over

Civilian_Labor_Force_Participation_Rate
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 142267(1) 142456 142434 142751 142388 142591 142278 142514 142518 142622 142962 143248
2001 143800 143701 143924 143569 143318 143357 143654 143284 143989 144086 144240 144305
2002 143883 144653 144481 144725 144938 144808 144803 145009 145552 145314 145041 145066
2003 145937(1) 146100 146022 146474 146500 147056 146485 146445 146530 146716 147000 146729
2004 146842(1) 146709 146944 146850 147065 147460 147692 147564 147415 147793 148162 148059
2005 148029(1) 148364 148391 148926 149261 149238 149432 149779 149954 150001 150065 150030
2006 150214(1) 150641 150813 150881 151069 151354 151377 151716 151662 152041 152406 152732
2007 153144(1) 152983 153051 152435 152670 153041 153054 152749 153414 153183 153835 153918
2008 154063(1) 153653 153908 153769 154303 154313 154469 154641 154570 154876 154639 154655
2009 154232(1) 154526 154142 154479 154742 154710 154505 154300 153815 153804 153887 153120
2010 153455(1) 153702 153960 154577 154110 153623 153709 154078 153966 153681 154140 153649
2011 153244(1) 153269 153358 153478 153552 153369 153325 153707 154074 154010 154096 153945
2012 154356(1) 154825 154707 154451 154998 155149 154995 154647 155056 155576 155319 155511
2013 155654(1) 155524 155028 155238 155658 155835 155798 155486 155559 154839
1 : Data affected by changes in population controls.

Civilian Labor Force Participation Rate

62.8%

Series Id:           LNS11300000
Seasonally Adjusted
Series title:        (Seas) Labor Force Participation Rate
Labor force status:  Civilian labor force participation rate
Type of data:        Percent or rate
Age:                 16 years and over
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 67.3 67.3 67.3 67.3 67.1 67.1 66.9 66.9 66.9 66.8 66.9 67.0
2001 67.2 67.1 67.2 66.9 66.7 66.7 66.8 66.5 66.8 66.7 66.7 66.7
2002 66.5 66.8 66.6 66.7 66.7 66.6 66.5 66.6 66.7 66.6 66.4 66.3
2003 66.4 66.4 66.3 66.4 66.4 66.5 66.2 66.1 66.1 66.1 66.1 65.9
2004 66.1 66.0 66.0 65.9 66.0 66.1 66.1 66.0 65.8 65.9 66.0 65.9
2005 65.8 65.9 65.9 66.1 66.1 66.1 66.1 66.2 66.1 66.1 66.0 66.0
2006 66.0 66.1 66.2 66.1 66.1 66.2 66.1 66.2 66.1 66.2 66.3 66.4
2007 66.4 66.3 66.2 65.9 66.0 66.0 66.0 65.8 66.0 65.8 66.0 66.0
2008 66.2 66.0 66.1 65.9 66.1 66.1 66.1 66.1 66.0 66.0 65.9 65.8
2009 65.7 65.8 65.6 65.7 65.7 65.7 65.5 65.4 65.1 65.0 65.0 64.6
2010 64.8 64.9 64.9 65.1 64.9 64.6 64.6 64.7 64.6 64.4 64.6 64.3
2011 64.2 64.2 64.2 64.2 64.2 64.0 64.0 64.1 64.2 64.1 64.1 64.0
2012 63.7 63.9 63.8 63.6 63.8 63.8 63.7 63.5 63.6 63.8 63.6 63.6
2013 63.6 63.5 63.3 63.3 63.4 63.5 63.4 63.2 63.2 62.8

Unemployment Level

11,272,000

Series Id:           LNS13000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Level
Labor force status:  Unemployed
Type of data:        Number in thousands
Age:                 16 years and over

Unemployment_Level
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5708 5858 5733 5481 5758 5651 5747 5853 5625 5534 5639 5634
2001 6023 6089 6141 6271 6226 6484 6583 7042 7142 7694 8003 8258
2002 8182 8215 8304 8599 8399 8393 8390 8304 8251 8307 8520 8640
2003 8520 8618 8588 8842 8957 9266 9011 8896 8921 8732 8576 8317
2004 8370 8167 8491 8170 8212 8286 8136 7990 7927 8061 7932 7934
2005 7784 7980 7737 7672 7651 7524 7406 7345 7553 7453 7566 7279
2006 7064 7184 7072 7120 6980 7001 7175 7091 6847 6727 6872 6762
2007 7116 6927 6731 6850 6766 6979 7149 7067 7170 7237 7240 7645
2008 7685 7497 7822 7637 8395 8575 8937 9438 9494 10074 10538 11286
2009 12079 12881 13421 13826 14492 14705 14607 14819 15005 15382 15223 15095
2010 15016 15078 15192 15281 14856 14475 14542 14673 14577 14584 15094 14354
2011 13992 13798 13716 13872 13871 13964 13817 13837 13910 13696 13325 13049
2012 12748 12806 12686 12518 12695 12701 12745 12483 12082 12248 12042 12206
2013 12332 12032 11742 11659 11760 11777 11514 11316 11255 11272

U-3 Unemployment Rate

7.3%

Series Id:           LNS14000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over

Unemployment_Rate
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 4.0 4.1 4.0 3.8 4.0 4.0 4.0 4.1 3.9 3.9 3.9 3.9
2001 4.2 4.2 4.3 4.4 4.3 4.5 4.6 4.9 5.0 5.3 5.5 5.7
2002 5.7 5.7 5.7 5.9 5.8 5.8 5.8 5.7 5.7 5.7 5.9 6.0
2003 5.8 5.9 5.9 6.0 6.1 6.3 6.2 6.1 6.1 6.0 5.8 5.7
2004 5.7 5.6 5.8 5.6 5.6 5.6 5.5 5.4 5.4 5.5 5.4 5.4
2005 5.3 5.4 5.2 5.2 5.1 5.0 5.0 4.9 5.0 5.0 5.0 4.9
2006 4.7 4.8 4.7 4.7 4.6 4.6 4.7 4.7 4.5 4.4 4.5 4.4
2007 4.6 4.5 4.4 4.5 4.4 4.6 4.7 4.6 4.7 4.7 4.7 5.0
2008 5.0 4.9 5.1 5.0 5.4 5.6 5.8 6.1 6.1 6.5 6.8 7.3
2009 7.8 8.3 8.7 9.0 9.4 9.5 9.5 9.6 9.8 10.0 9.9 9.9
2010 9.8 9.8 9.9 9.9 9.6 9.4 9.5 9.5 9.5 9.5 9.8 9.3
2011 9.1 9.0 8.9 9.0 9.0 9.1 9.0 9.0 9.0 8.9 8.6 8.5
2012 8.3 8.3 8.2 8.1 8.2 8.2 8.2 8.1 7.8 7.9 7.8 7.8
2013 7.9 7.7 7.6 7.5 7.6 7.6 7.4 7.3 7.2 7.3

Employment-Population Ratio

58.3%

Series Id:           LNS12300000
Seasonally Adjusted
Series title:        (Seas) Employment-Population Ratio
Labor force status:  Employment-population ratio
Type of data:        Percent or rate
Age:                 16 years and over

Employment_Population_Ratio

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 64.6 64.6 64.6 64.7 64.4 64.5 64.2 64.2 64.2 64.2 64.3 64.4
2001 64.4 64.3 64.3 64.0 63.8 63.7 63.7 63.2 63.5 63.2 63.0 62.9
2002 62.7 63.0 62.8 62.7 62.9 62.7 62.7 62.7 63.0 62.7 62.5 62.4
2003 62.5 62.5 62.4 62.4 62.3 62.3 62.1 62.1 62.0 62.1 62.3 62.2
2004 62.3 62.3 62.2 62.3 62.3 62.4 62.5 62.4 62.3 62.3 62.5 62.4
2005 62.4 62.4 62.4 62.7 62.8 62.7 62.8 62.9 62.8 62.8 62.7 62.8
2006 62.9 63.0 63.1 63.0 63.1 63.1 63.0 63.1 63.1 63.3 63.3 63.4
2007 63.3 63.3 63.3 63.0 63.0 63.0 62.9 62.7 62.9 62.7 62.9 62.7
2008 62.9 62.8 62.7 62.7 62.5 62.4 62.2 62.0 61.9 61.7 61.4 61.0
2009 60.6 60.3 59.9 59.8 59.6 59.4 59.3 59.1 58.7 58.5 58.6 58.3
2010 58.5 58.5 58.5 58.7 58.6 58.5 58.5 58.5 58.5 58.3 58.2 58.3
2011 58.3 58.4 58.4 58.4 58.4 58.2 58.2 58.3 58.4 58.4 58.5 58.6
2012 58.5 58.6 58.5 58.5 58.6 58.6 58.5 58.4 58.7 58.7 58.7 58.6
2013 58.6 58.6 58.5 58.6 58.6 58.7 58.7 58.6 58.6 58.3

Unemployment Rate – 16-19 Years Old

22.2%

Series Id:           LNS14000012
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - 16-19 yrs.
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 to 19 years
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 12.7 13.8 13.3 12.6 12.8 12.3 13.4 14.0 13.0 12.8 13.0 13.2
2001 13.8 13.7 13.8 13.9 13.4 14.2 14.4 15.6 15.2 16.0 15.9 17.0
2002 16.5 16.0 16.6 16.7 16.6 16.7 16.8 17.0 16.3 15.1 17.1 16.9
2003 17.2 17.2 17.8 17.7 17.9 19.0 18.2 16.6 17.6 17.2 15.7 16.2
2004 17.0 16.5 16.8 16.6 17.1 17.0 17.8 16.7 16.6 17.4 16.4 17.6
2005 16.2 17.5 17.1 17.8 17.8 16.3 16.1 16.1 15.5 16.1 17.0 14.9
2006 15.1 15.3 16.1 14.6 14.0 15.8 15.9 16.0 16.3 15.2 14.8 14.6
2007 14.8 14.9 14.9 15.9 15.9 16.3 15.3 15.9 15.9 15.4 16.2 16.8
2008 17.8 16.6 16.1 15.9 19.0 19.2 20.7 18.6 19.1 20.0 20.3 20.5
2009 20.7 22.2 22.2 22.2 23.4 24.7 24.3 25.0 25.9 27.1 26.9 26.6
2010 26.0 25.4 26.2 25.5 26.6 26.0 26.0 25.7 25.8 27.2 24.6 25.1
2011 25.5 24.0 24.4 24.7 24.0 24.7 24.9 25.2 24.4 24.1 23.9 22.9
2012 23.4 23.7 25.0 24.9 24.4 23.7 23.9 24.5 23.7 23.7 23.6 23.5
2013 23.4 25.1 24.2 24.1 24.5 24.0 23.7 22.7 21.4 22.2

Unemployment Rate – White

6.3%

Series Id:           LNS14000003
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - White
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over
Race:                White

Unemployment_Rate_White
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 3.4 3.6 3.5 3.4 3.5 3.4 3.5 3.6 3.5 3.4 3.5 3.5
2001 3.6 3.7 3.7 3.9 3.8 4.0 4.0 4.3 4.3 4.7 4.9 5.1
2002 5.1 5.0 5.0 5.2 5.1 5.1 5.2 5.1 5.1 5.1 5.1 5.1
2003 5.2 5.1 5.1 5.3 5.4 5.5 5.4 5.4 5.3 5.1 5.2 5.0
2004 5.0 4.9 5.1 5.0 4.9 5.0 4.7 4.7 4.6 4.6 4.6 4.5
2005 4.5 4.6 4.5 4.4 4.4 4.3 4.2 4.2 4.4 4.4 4.3 4.2
2006 4.1 4.1 4.0 4.1 4.1 4.1 4.1 4.1 3.9 3.9 4.0 3.9
2007 4.2 4.1 3.8 4.0 3.9 4.1 4.2 4.2 4.2 4.1 4.2 4.4
2008 4.4 4.4 4.5 4.4 4.8 5.0 5.2 5.4 5.4 5.9 6.2 6.7
2009 7.1 7.6 8.0 8.1 8.6 8.7 8.7 8.9 9.0 9.2 9.2 9.0
2010 8.8 8.9 8.9 9.0 8.7 8.6 8.5 8.6 8.6 8.6 8.9 8.5
2011 8.1 8.1 8.0 8.1 8.0 8.1 8.0 7.9 7.9 8.0 7.7 7.5
2012 7.4 7.4 7.3 7.4 7.4 7.3 7.4 7.2 7.0 6.9 6.8 6.9
2013 7.0 6.8 6.7 6.7 6.7 6.6 6.6 6.4 6.3 6.3

Unemployment Rate – Black or African American

13.1%

Series Id:           LNS14000006
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - Black or African American
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over
Race:                Black or African American
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 8.2 8.1 7.4 7.0 7.7 7.8 7.7 7.9 7.3 7.3 7.3 7.4
2001 8.2 7.7 8.3 8.0 7.9 8.3 8.0 9.1 8.9 9.5 9.8 10.1
2002 10.0 9.9 10.5 10.7 10.2 10.5 9.8 9.8 9.7 9.8 10.7 11.3
2003 10.5 10.7 10.3 10.9 10.9 11.5 10.9 10.9 11.1 11.4 10.2 10.1
2004 10.4 9.7 10.3 9.8 10.1 10.2 11.0 10.5 10.3 10.8 10.7 10.7
2005 10.6 10.9 10.5 10.3 10.1 10.2 9.2 9.7 9.4 9.1 10.6 9.2
2006 8.9 9.5 9.5 9.4 8.7 8.9 9.5 8.8 9.0 8.4 8.5 8.3
2007 7.9 8.0 8.4 8.3 8.3 8.5 8.1 7.6 8.0 8.5 8.5 9.0
2008 9.1 8.4 9.2 8.6 9.6 9.4 10.0 10.6 11.3 11.4 11.5 12.1
2009 12.7 13.7 13.6 15.0 15.0 14.9 14.8 14.9 15.3 15.9 15.7 16.1
2010 16.5 16.1 16.8 16.5 15.5 15.3 15.6 16.0 15.9 15.8 16.0 15.6
2011 15.8 15.5 15.7 16.3 16.3 16.2 15.8 16.5 15.8 14.9 15.5 15.6
2012 13.6 14.1 14.0 13.1 13.6 14.4 14.1 14.0 13.4 14.5 13.2 14.0
2013 13.8 13.8 13.3 13.2 13.5 13.7 12.6 13.0 12.9 13.1

Unemployment Rate – Hispanic or Latino

9.1%

Series Id:           LNS14000009
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - Hispanic or Latino
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over
Ethnic origin:       Hispanic or Latino
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5.6 5.7 6.1 5.5 5.8 5.6 5.8 5.9 5.8 5.1 6.0 5.7
2001 5.8 6.1 6.2 6.4 6.3 6.6 6.2 6.5 6.7 7.1 7.3 7.7
2002 7.8 7.0 7.5 8.0 7.1 7.4 7.4 7.5 7.4 7.9 7.8 7.9
2003 7.9 7.6 7.8 7.6 8.1 8.4 8.1 7.7 7.3 7.4 7.5 6.6
2004 7.4 7.4 7.5 7.1 7.0 6.6 6.9 6.8 6.9 6.7 6.7 6.5
2005 6.2 6.4 5.8 6.4 5.9 5.7 5.5 5.8 6.5 5.9 6.2 6.1
2006 5.7 5.5 5.2 5.3 4.9 5.2 5.3 5.3 5.5 4.7 5.1 5.0
2007 5.8 5.3 5.1 5.5 5.7 5.6 5.9 5.5 5.8 5.6 5.8 6.3
2008 6.5 6.3 7.0 7.0 6.9 7.7 7.6 8.1 8.0 8.8 8.6 9.3
2009 10.0 11.1 11.7 11.4 12.6 12.2 12.5 13.1 12.7 12.9 12.5 12.8
2010 12.7 12.4 12.7 12.5 12.3 12.4 12.2 12.0 12.5 12.5 13.0 12.9
2011 12.1 11.6 11.4 11.9 11.8 11.6 11.3 11.2 11.3 11.4 11.3 11.0
2012 10.5 10.6 10.3 10.3 11.0 11.0 10.3 10.2 9.9 10.0 9.9 9.6
2013 9.7 9.6 9.2 9.0 9.1 9.1 9.4 9.3 9.0 9.1

Average Weeks Unemployed

36.1 Weeks

Series Id:           LNS13008275
Seasonally Adjusted
Series title:        (Seas) Average Weeks Unemployed
Labor force status:  Unemployed
Type of data:        Number of weeks
Age:                 16 years and over

Average_Weeks_Unemployes
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 13.1 12.6 12.7 12.4 12.6 12.3 13.4 12.9 12.2 12.7 12.4 12.5
2001 12.7 12.8 12.8 12.4 12.1 12.7 12.9 13.3 13.2 13.3 14.3 14.5
2002 14.7 15.0 15.4 16.3 16.8 16.9 16.9 16.5 17.6 17.8 17.6 18.5
2003 18.5 18.5 18.1 19.4 19.0 19.9 19.7 19.2 19.5 19.3 19.9 19.8
2004 19.9 20.1 19.8 19.6 19.8 20.5 18.8 18.8 19.4 19.5 19.7 19.4
2005 19.5 19.1 19.5 19.6 18.6 17.9 17.6 18.4 17.9 17.9 17.5 17.5
2006 16.9 17.8 17.1 16.7 17.1 16.6 17.1 17.1 17.1 16.3 16.2 16.1
2007 16.3 16.7 17.8 16.9 16.6 16.5 17.2 17.0 16.3 17.0 17.3 16.6
2008 17.5 16.9 16.5 16.9 16.6 17.1 17.0 17.7 18.6 19.9 18.9 19.9
2009 19.8 20.1 20.9 21.6 22.4 23.9 25.1 25.3 26.7 27.4 29.0 29.7
2010 30.4 29.8 31.6 33.2 33.9 34.4 33.8 33.6 33.4 34.0 34.1 34.8
2011 37.3 37.4 39.2 38.6 39.5 39.6 40.4 40.3 40.4 38.9 40.7 40.7
2012 40.2 39.9 39.5 39.1 39.6 39.7 38.8 39.3 39.6 39.9 39.7 38.1
2013 35.3 36.9 37.1 36.5 36.9 35.6 36.6 37.0 36.9 36.1

Median Weeks Unemployed

16.3 Weeks

Series Id:           LNS13008276
Seasonally Adjusted
Series title:        (Seas) Median Weeks Unemployed
Labor force status:  Unemployed
Type of data:        Number of weeks
Age:                 16 years and over

Employment_Level_Part_Time
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5.8 6.1 6.0 6.1 5.8 5.7 6.0 6.3 5.2 6.1 6.1 6.0
2001 5.8 6.1 6.6 5.9 6.3 6.0 6.8 6.9 7.2 7.3 7.7 8.2
2002 8.4 8.3 8.4 8.9 9.5 11.0 8.9 9.0 9.5 9.6 9.3 9.6
2003 9.6 9.5 9.7 10.2 9.9 11.5 10.3 10.1 10.2 10.4 10.3 10.4
2004 10.6 10.2 10.2 9.5 9.9 11.0 8.9 9.2 9.6 9.5 9.7 9.5
2005 9.4 9.2 9.3 9.0 9.1 9.0 8.8 9.2 8.4 8.6 8.5 8.7
2006 8.6 9.1 8.7 8.4 8.5 7.3 8.0 8.4 8.0 7.9 8.3 7.5
2007 8.3 8.5 9.1 8.6 8.2 7.7 8.7 8.8 8.7 8.4 8.6 8.4
2008 9.0 8.7 8.7 9.4 7.9 9.0 9.7 9.7 10.2 10.4 9.8 10.5
2009 10.7 11.7 12.3 13.1 14.3 17.1 15.9 16.2 17.8 18.8 19.8 20.2
2010 20.0 20.0 20.5 22.2 22.4 24.8 22.1 20.9 20.2 21.1 21.2 22.1
2011 21.5 21.3 21.8 21.0 21.8 21.8 21.5 22.2 21.9 20.4 21.1 20.8
2012 20.8 20.1 19.7 19.3 20.1 19.4 16.8 18.2 18.7 19.6 18.9 18.0
2013 16.0 17.8 18.1 17.5 17.3 16.3 15.7 16.4 16.3 16.3

Employment Level – Part-Time for Economic Reasons

8,050,000

Series Id:                      LNS12032194
Seasonally Adjusted
Series title:                   (Seas) Employment Level - Part-Time for Economic Reasons, All Industries
Labor force status:             Employed
Type of data:                   Number in thousands
Age:                            16 years and over
Hours at work:                  1 to 34 hours
Reasons work not as scheduled:  Economic reasons
Worker status/schedules:        At work part time

Employment_Level_Part_Time
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 3208 3167 3231 3186 3283 3209 3144 3211 3217 3179 3467 3243
2001 3332 3296 3280 3289 3439 3792 3556 3380 4233 4437 4317 4393
2002 4112 4289 4101 4199 4103 4048 4145 4301 4329 4314 4329 4321
2003 4607 4844 4652 4798 4570 4592 4648 4419 4882 4813 4862 4750
2004 4705 4549 4742 4568 4588 4443 4449 4474 4487 4820 4547 4427
2005 4389 4250 4388 4278 4315 4432 4400 4491 4675 4269 4219 4115
2006 4123 4174 3972 3900 4111 4318 4303 4195 4115 4352 4190 4187
2007 4279 4220 4253 4313 4473 4342 4410 4576 4521 4325 4494 4618
2008 4846 4902 4904 5220 5286 5540 5930 5851 6148 6690 7311 8029
2009 8042 8788 9076 8904 9103 9051 8941 9030 8869 9005 9103 9092
2010 8493 8897 9122 9171 8816 8646 8610 8826 9226 8913 8862 8933
2011 8432 8398 8525 8649 8562 8536 8416 8816 9101 8726 8436 8168
2012 8220 8127 7664 7896 8116 8210 8245 8043 8607 8286 8138 7918
2013 7973 7988 7638 7916 7904 8226 8245 7911 7926 8050

Not in Labor Force, Searched for Work and Available, Discourage

Series Id:                       LNU05026645
Not Seasonally Adjusted
Series title:                    (Unadj) Not in Labor Force, Searched For Work and Available, Discouraged Reasons For Not Currently Looking
Labor force status:              Not in labor force
Type of data:                    Number in thousands
Age:                             16 years and over
Job desires/not in labor force:  Want a job now
Reasons not in labor force:      Discouragement over job prospects  (Persons who believe no job is available.)

Not_in_Labor_Force_Discourage

U-6 Total Unemployed Rate

13.8%

Series Id:           LNS13327709
Seasonally Adjusted
Series title:        (seas) Total unemployed, plus all marginally attached workers plus total employed part time for economic reasons, as a percent of all civilian labor force plus all marginally attached workers
Labor force status:  Aggregated totals unemployed
Type of data:        Percent or rate
Age:                 16 years and over
Percent/rates:       Unemployed and mrg attached and pt for econ reas as percent of labor force plus marg attached

U_6_unemployment_rate

Employment Situation Summary Table B. Establishment data, seasonally adjusted

ESTABLISHMENT DATA
Summary table B. Establishment data, seasonally adjusted
Category Oct.
2012
Aug.
2013
Sept.
2013(p)
Oct.
2013(p)
EMPLOYMENT BY SELECTED INDUSTRY
(Over-the-month change, in thousands)
Total nonfarm 160 238 163 204
Total private 217 207 150 212
Goods-producing 16 20 27 35
Mining and logging -6 4 5 5
Construction 16 1 18 11
Manufacturing 6 15 4 19
Durable goods(1) 1 23 10 12
Motor vehicles and parts -3.6 16.7 3.3 5.7
Nondurable goods 5 -8 -6 7
Private service-providing(1) 201 187 123 177
Wholesale trade 7.8 6.4 14.3 -5.4
Retail trade 52.1 38.3 22.3 44.4
Transportation and warehousing 13.7 12.3 29.5 0.0
Information 1 -21 4 5
Financial activities 11 -1 -1 7
Professional and business services(1) 53 42 32 44
Temporary help services 9.0 15.1 11.4 3.3
Education and health services(1) 34 57 6 23
Health care and social assistance 37.4 50.6 8.7 17.5
Leisure and hospitality 22 49 13 53
Other services 7 4 3 6
Government -57 31 13 -8
WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES(2)
AS A PERCENT OF ALL EMPLOYEES
Total nonfarm women employees 49.4 49.4 49.4 49.4
Total private women employees 47.9 48.0 47.9 47.9
Total private production and nonsupervisory employees 82.7 82.6 82.6 82.6
HOURS AND EARNINGS
ALL EMPLOYEES
Total private
Average weekly hours 34.3 34.5 34.4 34.4
Average hourly earnings $23.58 $24.05 $24.08 $24.10
Average weekly earnings $808.79 $829.73 $828.35 $829.04
Index of aggregate weekly hours (2007=100)(3) 96.5 98.8 98.6 98.8
Over-the-month percent change -0.4 0.5 -0.2 0.2
Index of aggregate weekly payrolls (2007=100)(4) 108.5 113.3 113.3 113.6
Over-the-month percent change -0.5 0.7 0.0 0.3
HOURS AND EARNINGS
PRODUCTION AND NONSUPERVISORY EMPLOYEES
Total private
Average weekly hours 33.6 33.7 33.7 33.6
Average hourly earnings $19.82 $20.20 $20.24 $20.26
Average weekly earnings $665.95 $680.74 $682.09 $680.74
Index of aggregate weekly hours (2002=100)(3) 104.2 106.2 106.3 106.2
Over-the-month percent change 0.0 0.5 0.1 -0.1
Index of aggregate weekly payrolls (2002=100)(4) 137.9 143.3 143.7 143.7
Over-the-month percent change 0.1 0.7 0.3 0.0
DIFFUSION INDEX(5)
(Over 1-month span)
Total private (266 industries) 64.8 59.8 57.5 61.5
Manufacturing (81 industries) 56.2 51.2 51.9 56.2
Footnotes
(1) Includes other industries, not shown separately.
(2) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries.
(3) The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding annual average aggregate hours.
(4) The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding annual average aggregate weekly payrolls.
(5) Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal balance between industries with increasing and decreasing employment.
(p) Preliminary

Employment Situation Summary

Transmission of material in this release is embargoed             USDL-13-2120
until 8:30 a.m. (EST) Friday, November 8, 2013

Technical information:
 Household data:       (202) 691-6378  *  cpsinfo@bls.gov  *  www.bls.gov/cps
 Establishment data:   (202) 691-6555  *  cesinfo@bls.gov  *  www.bls.gov/ces

Media contact:         (202) 691-5902  *  PressOffice@bls.gov

                     THE EMPLOYMENT SITUATION -- OCTOBER 2013

Total nonfarm payroll employment rose by 204,000 in October, and the 
unemployment rate was little changed at 7.3 percent, the U.S. Bureau of 
Labor Statistics reported today. Employment increased in leisure and 
hospitality, retail trade, professional and technical services, 
manufacturing, and health care.

Household Survey Data

Both the number of unemployed persons, at 11.3 million, and the
unemployment rate, at 7.3 percent, changed little in October. Among
the unemployed, however, the number who reported being on temporary
layoff increased by 448,000. This figure includes furloughed federal
employees who were classified as unemployed on temporary layoff under
the definitions used in the household survey. (Estimates of the
unemployed by reason, such as temporary layoff and job leavers, do not
sum to the official seasonally adjusted measure of total unemployed
because they are independently seasonally adjusted.) For more
information on the classification of workers affected by the federal
government shutdown, see the box note. (See tables A-1 and A-11.)

Among the major worker groups, the unemployment rates for adult men
(7.0 percent), adult women (6.4 percent), teenagers (22.2 percent),
whites (6.3 percent), blacks (13.1 percent), and Hispanics (9.1 percent) 
showed little or no change in October. The jobless rate for Asians was 
5.2 percent (not seasonally adjusted), little changed from a year 
earlier. (See tables A-1, A-2, and A-3.)

The number of long-term unemployed (those jobless for 27 weeks or
more) was little changed at 4.1 million in October. These individuals
accounted for 36.1 percent of the unemployed. The number of long-term
unemployed has declined by 954,000 over the year. (See table A-12.)

The civilian labor force was down by 720,000 in October. The labor
force participation rate fell by 0.4 percentage point to 62.8 percent
over the month. Total employment as measured by the household survey
fell by 735,000 over the month and the employment-population ratio
declined by 0.3 percentage point to 58.3 percent. This employment
decline partly reflected a decline in federal government employment.
(See table A-1.)

The number of persons employed part time for economic reasons
(sometimes referred to as involuntary part-time workers) was little
changed at 8.1 million in October. These individuals were working part
time because their hours had been cut back or because they were unable
to find a full-time job. (See table A-8.)

In October, 2.3 million persons were marginally attached to the labor
force, little changed from 2.4 million a year earlier. (The data are
not seasonally adjusted.) These individuals were not in the labor
force, wanted and were available for work, and had looked for a job
sometime in the prior 12 months. They were not counted as unemployed
because they had not searched for work in the 4 weeks preceding the
survey. (See table A-16.)

Among the marginally attached, there were 815,000 discouraged workers
in October, essentially unchanged from a year earlier. (The data are
not seasonally adjusted.) Discouraged workers are persons not
currently looking for work because they believe no jobs are available
for them. The remaining 1.5 million persons marginally attached to the
labor force in October had not searched for work for reasons such as
school attendance or family responsibilities. (See table A-16.)

Establishment Survey Data

Total nonfarm payroll employment increased by 204,000 in October. Job
growth averaged 190,000 per month over the prior 12 months. In
October, job gains occurred in leisure and hospitality, retail trade,
professional and technical services, manufacturing, and health care.
Federal government employment continued to trend down. There were no
discernible impacts of the partial federal government shutdown on the
estimates of employment, hours, and earnings from the establishment
survey. (See table B-1.)

Leisure and hospitality employment rose by 53,000 in October. Within
the industry, employment in food services and drinking places
increased by 29,000, the same as its average monthly gain over the
prior 12 months.

Employment in retail trade increased by 44,000 in October, compared
with an average monthly gain of 31,000 over the prior 12 months. Job
growth was widespread within the industry in October, with gains in
food and beverage stores (+12,000), electronics and appliance stores
(+10,000), sporting goods and hobby stores (+8,000), general
merchandise stores (+8,000), and building material and garden supply
stores (+7,000). Clothing and clothing accessories stores lost 13,000
jobs.

Professional and technical services employment rose in October
(+21,000) and has grown by 213,000 over the past 12 months. Within the
industry, employment in management and technical consulting services
rose by 8,000 in October.

Manufacturing added 19,000 jobs in October, with job growth occurring
in motor vehicles and parts (+6,000), wood products (+3,000), and
furniture and related products (+3,000). On net, manufacturing
employment has changed little since February 2013.

Health care employment increased over the month (+15,000). Job growth
in health care has averaged 17,000 per month thus far this year,
compared with an average monthly gain of 27,000 in 2012.

In October, employment showed little or no change elsewhere in the
private sector, including mining and logging, construction, wholesale
trade, transportation and warehousing, information, and financial
activities.

Federal government employment declined by 12,000 in October. Over the
past 12 months, federal government employment has decreased by 94,000.
Federal employees on furlough during the partial government shutdown
were still considered employed in the payroll survey because they
worked or received pay for the pay period that included the 12th of
the month. For more information on the classification of workers
affected by the partial federal government shutdown, see the box note.

The average workweek for all employees on private nonfarm payrolls was
unchanged in October at 34.4 hours. The manufacturing workweek was
40.9 hours, the same as in September, and factory overtime was
unchanged at 3.4 hours. The average workweek for production and
nonsupervisory employees on private nonfarm payrolls edged down by 0.1
hour to 33.6 hours. (See tables B-2 and B-7.)

In October, average hourly earnings for all employees on private
nonfarm payrolls edged up by 2 cents to $24.10. Over the year, average
hourly earnings have risen by 52 cents, or 2.2 percent. In October,
average hourly earnings of production and nonsupervisory employees
edged up by 2 cents to $20.26. (See tables B-3 and B-8.)

The change in total nonfarm payroll employment for August was revised
from +193,000 to +238,000, and the change for September was revised
from +148,000 to +163,000. With these revisions, employment gains in
August and September combined were 60,000 higher than previously
reported.

____________
The Employment Situation for November is scheduled to be released on
Friday, December 6, 2013, at 8:30 a.m. (EST).

    ------------------------------------------------------------------
  |                                                                   |
  |                Partial Federal Government Shutdown                |
  |                                                                   |
  |  Some agencies of the federal government were shut down or were   |
  |  operating at reduced staffing levels from October 1, 2013,       |
  |  through October 16, 2013. All household and establishment survey |
  |  operations, including data collection, were suspended during     |
  |  that time period. Shortly after the shutdown ended, October data |
  |  collection for both surveys began. The Bureau of Labor           |
  |  Statistics (BLS) delayed the publication of this release by 1    |
  |  week to allow enough time to collect data. The reference periods |
  |  for the surveys were not changed. The response rate for the      |
  |  household survey was within its normal range, and the response   |
  |  rate for the establishment survey was above average.             |
  |                                                                   |
  |  In the household survey, individuals are classified as employed, |
  |  unemployed, or not in the labor force based on their answers to  |
  |  a series of questions about their activities during the survey   |
  |  reference week. Workers who indicate that they were not working  |
  |  during the entire survey reference week and expected to be       |
  |  recalled to their jobs should be classified in the household     |
  |  survey as unemployed on temporary layoff. In October 2013, there |
  |  was an increase in the number of federal workers who were        |
  |  classified as unemployed on temporary layoff. However, there     |
  |  also was an increase in the number of federal workers who were   |
  |  classified as employed but absent from work. BLS analysis of the |
  |  data indicates that this group included federal workers affected |
  |  by the shutdown who also should have been classified as          |
  |  unemployed on temporary layoff. Such a misclassification is an   |
  |  example of nonsampling error and can occur when respondents      |
  |  misunderstand questions or interviewers record answers           |
  |  incorrectly. According to usual practice, the data from the      |
  |  household survey are accepted as recorded. To maintain           |
  |  data integrity, no ad hoc actions taken to reassign survey       | 
  |  responses.                                                       |
  |                                                                   |
  |  It should be noted that household survey data for federal        |
  |  workers are available only on a not seasonally adjusted basis.   |
  |  As a result, over-the-month changes in federal worker data       |
  |  series cannot be compared with seasonally adjusted over-the-     |
  |  month changes in total employed and unemployed.                  |
  |                                                                   |
  |  In the establishment survey, businesses report the number of     |
  |  people who work or receive pay for any part of the pay period    |
  |  that includes the 12th of the month. Persons who work or receive |
  |  pay for any part of the pay period are defined as employed. This |
  |  method of classifying workers is the same in all industries,     |
  |  including the federal government. Federal employees on furlough  |
  |  during the partial federal government shutdown were still        |
  |  considered employed in the payroll survey because they worked or |
  |  received pay for the pay period that included the 12th of the    |
  |  month.                                                           |
  |                                                                   |
  |  Additional information is available online at                    |
  |  www.bls.gov/bls/shutdown_2013_empsit_qa.pdf.                     |
  |                                                                   |
   -------------------------------------------------------------------
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Only 162,000 Nonfarm Payroll Jobs Created in July 2013 — 300,000 New Jobs Needed To Reduce Unemployment by .1%– Unemployment Rate Declines .2% to 7.4% — Labor Participation Rate Declines .1% to 63.5% As Number of Discourage Workers Increases By 136,000 — Obama’s Jobs Gap 10 Million Jobs Widens — Videos

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Obama-Unemployment

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ITS-THE-ECONOMY-OBAMA-WHITE-HOUSE-ATTIC-CAI-012610-COLOR

Obama-Dept-of-Labor-overpaid-unemploymen

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Unemployment Rate Drops to Near Five-Year Low

US jobs numbers disappoint but ‘underlying tone is bullish’

Data extracted on: August 2, 2013 (2:01:21 PM)

Labor Force Statistics from the Current Population Survey

Employment Level

144,285,000

Series Id:           LNS12000000
Seasonally Adjusted
Series title:        (Seas) Employment Level
Labor force status:  Employed
Type of data:        Number in thousands
Age:                 16 years and over

employment_level
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 136559(1) 136598 136701 137270 136630 136940 136531 136662 136893 137088 137322 137614
2001 137778 137612 137783 137299 137092 136873 137071 136241 136846 136392 136238 136047
2002 135701 136438 136177 136126 136539 136415 136413 136705 137302 137008 136521 136426
2003 137417(1) 137482 137434 137633 137544 137790 137474 137549 137609 137984 138424 138411
2004 138472(1) 138542 138453 138680 138852 139174 139556 139573 139487 139732 140231 140125
2005 140245(1) 140385 140654 141254 141609 141714 142026 142434 142401 142548 142499 142752
2006 143150(1) 143457 143741 143761 144089 144353 144202 144625 144815 145314 145534 145970
2007 146028(1) 146057 146320 145586 145903 146063 145905 145682 146244 145946 146595 146273
2008 146378(1) 146156 146086 146132 145908 145737 145532 145203 145076 144802 144100 143369
2009 142153(1) 141644 140721 140652 140250 140005 139898 139481 138810 138421 138665 138025
2010 138439(1) 138624 138767 139296 139255 139148 139167 139405 139388 139097 139046 139295
2011 139253(1) 139471 139643 139606 139681 139405 139509 139870 140164 140314 140771 140896
2012 141608(1) 142019 142020 141934 142302 142448 142250 142164 142974 143328 143277 143305
2013 143322(1) 143492 143286 143579 143898 144058 144285
1 : Data affected by changes in population controls.

Civilian Labor Force

155,798,000

Series Id:           LNS11000000
Seasonally Adjusted
Series title:        (Seas) Civilian Labor Force Level
Labor force status:  Civilian labor force
Type of data:        Number in thousands
Age:                 16 years and over

civilian_labor_force_level
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 142267(1) 142456 142434 142751 142388 142591 142278 142514 142518 142622 142962 143248
2001 143800 143701 143924 143569 143318 143357 143654 143284 143989 144086 144240 144305
2002 143883 144653 144481 144725 144938 144808 144803 145009 145552 145314 145041 145066
2003 145937(1) 146100 146022 146474 146500 147056 146485 146445 146530 146716 147000 146729
2004 146842(1) 146709 146944 146850 147065 147460 147692 147564 147415 147793 148162 148059
2005 148029(1) 148364 148391 148926 149261 149238 149432 149779 149954 150001 150065 150030
2006 150214(1) 150641 150813 150881 151069 151354 151377 151716 151662 152041 152406 152732
2007 153144(1) 152983 153051 152435 152670 153041 153054 152749 153414 153183 153835 153918
2008 154063(1) 153653 153908 153769 154303 154313 154469 154641 154570 154876 154639 154655
2009 154232(1) 154526 154142 154479 154742 154710 154505 154300 153815 153804 153887 153120
2010 153455(1) 153702 153960 154577 154110 153623 153709 154078 153966 153681 154140 153649
2011 153244(1) 153269 153358 153478 153552 153369 153325 153707 154074 154010 154096 153945
2012 154356(1) 154825 154707 154451 154998 155149 154995 154647 155056 155576 155319 155511
2013 155654(1) 155524 155028 155238 155658 155835 155798

Labor Force Participation Rate

63.4%

Series Id:           LNS11300000
Seasonally Adjusted
Series title:        (Seas) Labor Force Participation Rate
Labor force status:  Civilian labor force participation rate
Type of data:        Percent or rate
Age:                 16 years and over

civilian_labor_force_participation_rate
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 67.3 67.3 67.3 67.3 67.1 67.1 66.9 66.9 66.9 66.8 66.9 67.0
2001 67.2 67.1 67.2 66.9 66.7 66.7 66.8 66.5 66.8 66.7 66.7 66.7
2002 66.5 66.8 66.6 66.7 66.7 66.6 66.5 66.6 66.7 66.6 66.4 66.3
2003 66.4 66.4 66.3 66.4 66.4 66.5 66.2 66.1 66.1 66.1 66.1 65.9
2004 66.1 66.0 66.0 65.9 66.0 66.1 66.1 66.0 65.8 65.9 66.0 65.9
2005 65.8 65.9 65.9 66.1 66.1 66.1 66.1 66.2 66.1 66.1 66.0 66.0
2006 66.0 66.1 66.2 66.1 66.1 66.2 66.1 66.2 66.1 66.2 66.3 66.4
2007 66.4 66.3 66.2 65.9 66.0 66.0 66.0 65.8 66.0 65.8 66.0 66.0
2008 66.2 66.0 66.1 65.9 66.1 66.1 66.1 66.1 66.0 66.0 65.9 65.8
2009 65.7 65.8 65.6 65.7 65.7 65.7 65.5 65.4 65.1 65.0 65.0 64.6
2010 64.8 64.9 64.9 65.1 64.9 64.6 64.6 64.7 64.6 64.4 64.6 64.3
2011 64.2 64.2 64.2 64.2 64.2 64.0 64.0 64.1 64.2 64.1 64.1 64.0
2012 63.7 63.9 63.8 63.6 63.8 63.8 63.7 63.5 63.6 63.8 63.6 63.6
2013 63.6 63.5 63.3 63.3 63.4 63.5 63.4

Unemployment Level

11,514,000

Series Id:           LNS13000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Level
Labor force status:  Unemployed
Type of data:        Number in thousands
Age:                 16 years and over

unemployment_level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5708 5858 5733 5481 5758 5651 5747 5853 5625 5534 5639 5634
2001 6023 6089 6141 6271 6226 6484 6583 7042 7142 7694 8003 8258
2002 8182 8215 8304 8599 8399 8393 8390 8304 8251 8307 8520 8640
2003 8520 8618 8588 8842 8957 9266 9011 8896 8921 8732 8576 8317
2004 8370 8167 8491 8170 8212 8286 8136 7990 7927 8061 7932 7934
2005 7784 7980 7737 7672 7651 7524 7406 7345 7553 7453 7566 7279
2006 7064 7184 7072 7120 6980 7001 7175 7091 6847 6727 6872 6762
2007 7116 6927 6731 6850 6766 6979 7149 7067 7170 7237 7240 7645
2008 7685 7497 7822 7637 8395 8575 8937 9438 9494 10074 10538 11286
2009 12079 12881 13421 13826 14492 14705 14607 14819 15005 15382 15223 15095
2010 15016 15078 15192 15281 14856 14475 14542 14673 14577 14584 15094 14354
2011 13992 13798 13716 13872 13871 13964 13817 13837 13910 13696 13325 13049
2012 12748 12806 12686 12518 12695 12701 12745 12483 12082 12248 12042 12206
2013 12332 12032 11742 11659 11760 11777 11514

Unemployment Rate U-3

7.4%

Series Id:           LNS14000000
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over

unemployment_rate_u3

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 4.0 4.1 4.0 3.8 4.0 4.0 4.0 4.1 3.9 3.9 3.9 3.9
2001 4.2 4.2 4.3 4.4 4.3 4.5 4.6 4.9 5.0 5.3 5.5 5.7
2002 5.7 5.7 5.7 5.9 5.8 5.8 5.8 5.7 5.7 5.7 5.9 6.0
2003 5.8 5.9 5.9 6.0 6.1 6.3 6.2 6.1 6.1 6.0 5.8 5.7
2004 5.7 5.6 5.8 5.6 5.6 5.6 5.5 5.4 5.4 5.5 5.4 5.4
2005 5.3 5.4 5.2 5.2 5.1 5.0 5.0 4.9 5.0 5.0 5.0 4.9
2006 4.7 4.8 4.7 4.7 4.6 4.6 4.7 4.7 4.5 4.4 4.5 4.4
2007 4.6 4.5 4.4 4.5 4.4 4.6 4.7 4.6 4.7 4.7 4.7 5.0
2008 5.0 4.9 5.1 5.0 5.4 5.6 5.8 6.1 6.1 6.5 6.8 7.3
2009 7.8 8.3 8.7 9.0 9.4 9.5 9.5 9.6 9.8 10.0 9.9 9.9
2010 9.8 9.8 9.9 9.9 9.6 9.4 9.5 9.5 9.5 9.5 9.8 9.3
2011 9.1 9.0 8.9 9.0 9.0 9.1 9.0 9.0 9.0 8.9 8.6 8.5
2012 8.3 8.3 8.2 8.1 8.2 8.2 8.2 8.1 7.8 7.9 7.8 7.8
2013 7.9 7.7 7.6 7.5 7.6 7.6 7.4

Employment-Population Ratio

58.7%

Series Id:           LNS12300000
Seasonally Adjusted
Series title:        (Seas) Employment-Population Ratio
Labor force status:  Employment-population ratio
Type of data:        Percent or rate
Age:                 16 years and over

Employment-Population Ratio

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 64.6 64.6 64.6 64.7 64.4 64.5 64.2 64.2 64.2 64.2 64.3 64.4
2001 64.4 64.3 64.3 64.0 63.8 63.7 63.7 63.2 63.5 63.2 63.0 62.9
2002 62.7 63.0 62.8 62.7 62.9 62.7 62.7 62.7 63.0 62.7 62.5 62.4
2003 62.5 62.5 62.4 62.4 62.3 62.3 62.1 62.1 62.0 62.1 62.3 62.2
2004 62.3 62.3 62.2 62.3 62.3 62.4 62.5 62.4 62.3 62.3 62.5 62.4
2005 62.4 62.4 62.4 62.7 62.8 62.7 62.8 62.9 62.8 62.8 62.7 62.8
2006 62.9 63.0 63.1 63.0 63.1 63.1 63.0 63.1 63.1 63.3 63.3 63.4
2007 63.3 63.3 63.3 63.0 63.0 63.0 62.9 62.7 62.9 62.7 62.9 62.7
2008 62.9 62.8 62.7 62.7 62.5 62.4 62.2 62.0 61.9 61.7 61.4 61.0
2009 60.6 60.3 59.9 59.8 59.6 59.4 59.3 59.1 58.7 58.5 58.6 58.3
2010 58.5 58.5 58.5 58.7 58.6 58.5 58.5 58.5 58.5 58.3 58.2 58.3
2011 58.3 58.4 58.4 58.4 58.4 58.2 58.2 58.3 58.4 58.4 58.5 58.6
2012 58.5 58.6 58.5 58.5 58.6 58.6 58.5 58.4 58.7 58.7 58.7 58.6
2013 58.6 58.6 58.5 58.6 58.6 58.7 58.7

Unemployment Rate 16-19 Years Old

 

23.7%


Series Id:           LNS14000012
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - 16-19 yrs.
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 to 19 years


unemployment_rate_teenagers

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 12.7 13.8 13.3 12.6 12.8 12.3 13.4 14.0 13.0 12.8 13.0 13.2
2001 13.8 13.7 13.8 13.9 13.4 14.2 14.4 15.6 15.2 16.0 15.9 17.0
2002 16.5 16.0 16.6 16.7 16.6 16.7 16.8 17.0 16.3 15.1 17.1 16.9
2003 17.2 17.2 17.8 17.7 17.9 19.0 18.2 16.6 17.6 17.2 15.7 16.2
2004 17.0 16.5 16.8 16.6 17.1 17.0 17.8 16.7 16.6 17.4 16.4 17.6
2005 16.2 17.5 17.1 17.8 17.8 16.3 16.1 16.1 15.5 16.1 17.0 14.9
2006 15.1 15.3 16.1 14.6 14.0 15.8 15.9 16.0 16.3 15.2 14.8 14.6
2007 14.8 14.9 14.9 15.9 15.9 16.3 15.3 15.9 15.9 15.4 16.2 16.8
2008 17.8 16.6 16.1 15.9 19.0 19.2 20.7 18.6 19.1 20.0 20.3 20.5
2009 20.7 22.2 22.2 22.2 23.4 24.7 24.3 25.0 25.9 27.1 26.9 26.6
2010 26.0 25.4 26.2 25.5 26.6 26.0 26.0 25.7 25.8 27.2 24.6 25.1
2011 25.5 24.0 24.4 24.7 24.0 24.7 24.9 25.2 24.4 24.1 23.9 22.9
2012 23.4 23.7 25.0 24.9 24.4 23.7 23.9 24.5 23.7 23.7 23.6 23.5
2013 23.4 25.1 24.2 24.1 24.5 24.0 23.7

White Unemployment Rate

 

6.6%

 

Series Id:           LNS14000003
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - White
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over
Race:                White

white_unemployment_rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 3.4 3.6 3.5 3.4 3.5 3.4 3.5 3.6 3.5 3.4 3.5 3.5
2001 3.6 3.7 3.7 3.9 3.8 4.0 4.0 4.3 4.3 4.7 4.9 5.1
2002 5.1 5.0 5.0 5.2 5.1 5.1 5.2 5.1 5.1 5.1 5.1 5.1
2003 5.2 5.1 5.1 5.3 5.4 5.5 5.4 5.4 5.3 5.1 5.2 5.0
2004 5.0 4.9 5.1 5.0 4.9 5.0 4.7 4.7 4.6 4.6 4.6 4.5
2005 4.5 4.6 4.5 4.4 4.4 4.3 4.2 4.2 4.4 4.4 4.3 4.2
2006 4.1 4.1 4.0 4.1 4.1 4.1 4.1 4.1 3.9 3.9 4.0 3.9
2007 4.2 4.1 3.8 4.0 3.9 4.1 4.2 4.2 4.2 4.1 4.2 4.4
2008 4.4 4.4 4.5 4.4 4.8 5.0 5.2 5.4 5.4 5.9 6.2 6.7
2009 7.1 7.6 8.0 8.1 8.6 8.7 8.7 8.9 9.0 9.2 9.2 9.0
2010 8.8 8.9 8.9 9.0 8.7 8.6 8.5 8.6 8.6 8.6 8.9 8.5
2011 8.1 8.1 8.0 8.1 8.0 8.1 8.0 7.9 7.9 8.0 7.7 7.5
2012 7.4 7.4 7.3 7.4 7.4 7.3 7.4 7.2 7.0 6.9 6.8 6.9
2013 7.0 6.8 6.7 6.7 6.7 6.6 6.6

Black Unemployment Rate

 

Series Id:           LNS14000006
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - Black or African American
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over
Race:                Black or African American

Employment Situation News Release

Transmission of material in this release is embargoed                                  USDL-13-1527
until 8:30 a.m. (EDT) Friday, August 2, 2013

Technical information:
 Household data:       (202) 691-6378  *  cpsinfo@bls.gov  *  www.bls.gov/cps
 Establishment data:   (202) 691-6555  *  cesinfo@bls.gov  *  www.bls.gov/ces

Media contact:         (202) 691-5902  *  PressOffice@bls.gov

                         THE EMPLOYMENT SITUATION -- JULY 2013

Total nonfarm payroll employment increased by 162,000 in July, and the unemployment rate edged
down to 7.4 percent, the U.S. Bureau of Labor Statistics reported today. Employment rose in
retail trade, food services and drinking places, financial activities, and wholesale trade.

Household Survey Data

Both the number of unemployed persons, at 11.5 million, and the unemployment rate, at 7.4 percent,
edged down in July. Over the year, these measures were down by 1.2 million and 0.8 percentage
point, respectively. (See table A-1.)

Among the major worker groups, the unemployment rates for adult women (6.5 percent) and blacks
(12.6 percent) declined in July. The rates for adult men (7.0 percent), teenagers (23.7 percent),
whites (6.6 percent), and Hispanics (9.4 percent) showed little or no change. The jobless rate
for Asians was 5.7 percent (not seasonally adjusted), little changed from a year earlier. (See
tables A-1, A-2, and A-3.)

In July, the number of long-term unemployed (those jobless for 27 weeks or more) was little
changed at 4.2 million. These individuals accounted for 37.0 percent of the unemployed. The
number of long-term unemployed has declined by 921,000 over the past year. (See table A-12.)

The civilian labor force participation rate was 63.4 percent in July, little changed over the
month. The employment-population ratio was unchanged at 58.7 percent. (See table A-1.)

The number of persons employed part time for economic reasons (sometimes referred to as involuntary
part-time workers) was essentially unchanged at 8.2 million in July. These individuals were working
part time because their hours had been cut back or because they were unable to find a full-time
job. (See table A-8.)

In July, 2.4 million persons were marginally attached to the labor force, little changed from a
year earlier. (The data are not seasonally adjusted.) These individuals were not in the labor
force, wanted and were available for work, and had looked for a job sometime in the prior 12
months. They were not counted as unemployed because they had not searched for work in the 4 weeks
preceding the survey. (See table A-16.)

Among the marginally attached, there were 988,000 discouraged workers in July, up by 136,000 from
a year earlier. (The data are not seasonally adjusted.) Discouraged workers are persons not
currently looking for work because they believe no jobs are available for them. The remaining
1.4 million persons marginally attached to the labor force in July had not searched for work for
reasons such as school attendance or family responsibilities. (See table A-16.)

Establishment Survey Data

Total nonfarm payroll employment increased by 162,000 in July, with gains in retail trade, food
services and drinking places, financial activities, and wholesale trade. Over the prior 12 months,
nonfarm employment growth averaged 189,000 per month. (See table B-1.)

Retail trade added 47,000 jobs in July and has added 352,000 over the past 12 months. In July, job
growth occurred in general merchandise stores (+9,000), motor vehicle and parts dealers (+6,000),
building material and garden supply stores (+6,000), and health and personal care stores (+5,000).

Within leisure and hospitality, employment in food services and drinking places increased by 38,000
in July and by 381,000 over the year.

Financial activities employment increased by 15,000 in July, with a gain of 6,000 in securities,
commodity contracts, and investments. Over the year, financial activities has added 120,000 jobs.

Employment increased in wholesale trade (+14,000) in July. Over the past 12 months, this industry
has added 83,000 jobs.

Employment in professional and business services continued to trend up in July (+36,000). Within
the industry, job growth continued in management of companies and enterprises (+7,000) and in
management and technical consulting services (+7,000). Employment in temporary help services
changed little over the month.

Manufacturing employment was essentially unchanged in July and has changed little, on net, over
the past 12 months. Within the industry, employment in motor vehicles and parts rose by 9,000
in July.

Employment in health care was essentially unchanged over the month. Thus far in 2013, health
care has added an average of 16,000 jobs per month, compared with an average monthly increase
of 27,000 in 2012.

Employment in other major industries, including mining and logging, construction, transportation
and warehousing, and government, showed little change in July.

The average workweek for all employees on private nonfarm payrolls decreased by 0.1 hour in July
to 34.4 hours. In manufacturing, the workweek decreased by 0.2 hour to 40.6 hours, and overtime
declined by 0.2 hour to 3.2 hours. The average workweek for production and nonsupervisory employees
on private nonfarm payrolls decreased by 0.1 hour to 33.6 hours. (See tables B-2 and B-7.)

In July, average hourly earnings for all employees on private nonfarm payrolls edged down by 2 cents
to $23.98, following a 10-cent increase in June. Over the year, average hourly earnings have risen
by 44 cents, or 1.9 percent. In July, average hourly earnings of private-sector production and
nonsupervisory employees were unchanged at $20.14. (See tables B-3 and B-8.)

The change in total nonfarm payroll employment for May was revised from +195,000 to +176,000, and
the change for June was revised from +195,000 to +188,000. With these revisions, employment gains
in May and June combined were 26,000 less than previously reported.

_____________
The Employment Situation for August is scheduled to be released on Friday, September 6, 2013, at
8:30 a.m. (EDT).
HOUSEHOLD DATA
Summary table A. Household data, seasonally adjusted

[Numbers in thousands]
Category July
2012
May
2013
June
2013
July
2013
Change from:
June
2013-
July
2013
Employment status
Civilian noninstitutional population 243,354 245,363 245,552 245,756 204
Civilian labor force 154,995 155,658 155,835 155,798 -37
Participation rate 63.7 63.4 63.5 63.4 -0.1
Employed 142,250 143,898 144,058 144,285 227
Employment-population ratio 58.5 58.6 58.7 58.7 0.0
Unemployed 12,745 11,760 11,777 11,514 -263
Unemployment rate 8.2 7.6 7.6 7.4 -0.2
Not in labor force 88,359 89,705 89,717 89,957 240
Unemployment rates
Total, 16 years and over 8.2 7.6 7.6 7.4 -0.2
Adult men (20 years and over) 7.7 7.2 7.0 7.0 0.0
Adult women (20 years and over) 7.5 6.5 6.8 6.5 -0.3
Teenagers (16 to 19 years) 23.9 24.5 24.0 23.7 -0.3
White 7.4 6.7 6.6 6.6 0.0
Black or African American 14.1 13.5 13.7 12.6 -1.1
Asian (not seasonally adjusted) 6.2 4.3 5.0 5.7 -
Hispanic or Latino ethnicity 10.3 9.1 9.1 9.4 0.3
Total, 25 years and over 6.9 6.1 6.2 6.1 -0.1
Less than a high school diploma 12.7 11.1 10.7 11.0 0.3
High school graduates, no college 8.6 7.4 7.6 7.6 0.0
Some college or associate degree 7.1 6.5 6.4 6.0 -0.4
Bachelor’s degree and higher 4.1 3.8 3.9 3.8 -0.1
Reason for unemployment
Job losers and persons who completed temporary jobs 7,106 6,147 6,119 5,921 -198
Job leavers 879 944 1,030 979 -51
Reentrants 3,374 3,333 3,291 3,258 -33
New entrants 1,299 1,268 1,259 1,254 -5
Duration of unemployment
Less than 5 weeks 2,697 2,706 2,692 2,563 -129
5 to 14 weeks 3,102 2,669 2,864 2,869 5
15 to 26 weeks 1,756 1,950 1,896 1,788 -108
27 weeks and over 5,167 4,357 4,328 4,246 -82
Employed persons at work part time
Part time for economic reasons 8,245 7,904 8,226 8,245 19
Slack work or business conditions 5,319 4,841 5,193 5,177 -16
Could only find part-time work 2,568 2,721 2,652 2,665 13
Part time for noneconomic reasons 18,846 18,934 19,044 19,128 84
Persons not in the labor force (not seasonally adjusted)
Marginally attached to the labor force 2,529 2,164 2,582 2,414 -
Discouraged workers 852 780 1,027 988 -
- Over-the-month changes are not displayed for not seasonally adjusted data.
NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data.
ESTABLISHMENT DATA
Summary table B. Establishment data, seasonally adjusted
Category July
2012
May
2013
June
2013(p)
July
2013(p)
EMPLOYMENT BY SELECTED INDUSTRY
(Over-the-month change, in thousands)
Total nonfarm 153 176 188 162
Total private 177 187 196 161
Goods-producing 26 -4 8 4
Mining and logging -1 2 3 4
Construction 5 -1 8 -6
Manufacturing 22 -5 -3 6
Durable goods(1) 20 1 0 8
Motor vehicles and parts 12.0 6.0 6.4 9.1
Nondurable goods 2 -6 -3 -2
Private service-providing(1) 151 191 188 157
Wholesale trade 10.1 7.3 7.0 13.7
Retail trade 3.1 32.6 39.7 46.8
Transportation and warehousing 11.3 -5.7 0.7 4.6
Information 9 3 -4 9
Financial activities 0 7 13 15
Professional and business services(1) 52 70 61 36
Temporary help services 15.3 26.8 16.2 7.7
Education and health services(1) 35 20 16 13
Health care and social assistance 25.5 9.7 18.4 8.3
Leisure and hospitality 27 43 57 23
Other services 10 13 -3 -2
Government -24 -11 -8 1
WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES(2)
AS A PERCENT OF ALL EMPLOYEES
Total nonfarm women employees 49.4 49.4 49.4 49.4
Total private women employees 47.9 47.9 47.9 47.9
Total private production and nonsupervisory employees 82.6 82.6 82.6 82.6
HOURS AND EARNINGS
ALL EMPLOYEES
Total private
Average weekly hours 34.4 34.5 34.5 34.4
Average hourly earnings $23.54 $23.90 $24.00 $23.98
Average weekly earnings $809.78 $824.55 $828.00 $824.91
Index of aggregate weekly hours (2007=100)(3) 96.4 98.4 98.5 98.4
Over-the-month percent change 0.2 0.2 0.1 -0.1
Index of aggregate weekly payrolls (2007=100)(4) 108.2 112.1 112.8 112.5
Over-the-month percent change 0.3 0.2 0.6 -0.3
HOURS AND EARNINGS
PRODUCTION AND NONSUPERVISORY EMPLOYEES
Total private
Average weekly hours 33.7 33.7 33.7 33.6
Average hourly earnings $19.77 $20.08 $20.14 $20.14
Average weekly earnings $666.25 $676.70 $678.72 $676.70
Index of aggregate weekly hours (2002=100)(3) 104.0 105.7 105.9 105.8
Over-the-month percent change 0.2 0.2 0.2 -0.1
Index of aggregate weekly payrolls (2002=100)(4) 137.2 141.8 142.4 142.2
Over-the-month percent change 0.2 0.2 0.4 -0.1
DIFFUSION INDEX(5)
(Over 1-month span)
Total private (266 industries) 56.0 58.1 57.3 54.5
Manufacturing (81 industries) 51.2 45.1 45.7 50.0
Footnotes
(1) Includes other industries, not shown separately.
(2) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries.
(3) The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding annual average aggregate hours.
(4) The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding annual average aggregate weekly payrolls.
(5) Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal balance between industries with increasing and decreasing employment.
(p) Preliminary
Frequently Asked Questions about Employment and Unemployment Estimates

1. Why are there two monthly measures of employment?

   The household survey and establishment survey both produce sample-based estimates
   of   employment, and both have strengths and limitations. The establishment survey
   employment series has a   smaller margin of error on the measurement of month-to-
   month change   than the household survey because of its much larger sample size. An
   over-the-month employment change of about 100,000 is statistically significant in
   the establishment survey, while the threshold for a statistically significant change
   in the household survey is about 400,000. However, the household survey has a more
   expansive scope than the establishment survey because it includes self-employed
   workers whose businesses are unincorporated, unpaid family workers, agricultural
   workers, and private household workers, who are excluded by the establishment survey.
   The household survey also provides estimates of employment for demographic groups.
   For more information on the differences between the two surveys, please visit
   www.bls.gov/web/empsit/ces_cps_trends.pdf.

2. Are undocumented immigrants counted in the surveys?

   It is likely that both surveys include at least some undocumented immigrants. However,
   neither the establishment nor the household survey is designed to identify the legal
   status of workers. Therefore, it is not possible to determine how many are counted in
   either survey. The establishment survey does not collect data on the legal status of
   workers. The household survey does include questions which identify the foreign and
   native born, but it does not include questions about the legal status of the foreign
   born. Data on the foreign and native born are published each month in table A-7 of
   The Employment Situation news release.

3. Why does the establishment survey have revisions?

   The establishment survey revises published estimates to improve its data series by
   incorporating additional information that was not available at the time of the
   initial publication of the estimates. The establishment survey revises its initial
   monthly estimates twice, in the immediately succeeding 2 months, to incorporate
   additional sample receipts from respondents in the survey and recalculated seasonal
   adjustment factors. For more information on the monthly revisions, please visit
   www.bls.gov/ces/cesrevinfo.htm.

   On an annual basis, the establishment survey incorporates a benchmark revision that
   re-anchors estimates to nearly complete employment counts available from unemployment
   insurance tax records. The benchmark helps to control for sampling and modeling errors
   in the estimates. For more information on the annual benchmark revision, please visit
   www.bls.gov/web/empsit/cesbmart.htm.

4. Does the establishment survey sample include small firms?

   Yes; about 40 percent of the establishment survey sample is comprised of business
   establishments with fewer than 20 employees. The establishment survey sample is
   designed to maximize the reliability of the statewide total nonfarm employment
   estimate; firms from all states, size classes, and industries are appropriately
   sampled to achieve that goal.

5. Does the establishment survey account for employment from new businesses?

   Yes; monthly establishment survey estimates include an adjustment to account for
   the net employment change generated by business births and deaths. The adjustment
   comes from an econometric model that forecasts the monthly net jobs impact of
   business births and deaths based on the actual past values of the net impact that
   can be observed with a lag from the Quarterly Census of Employment and Wages. The
   establishment survey uses modeling rather than sampling for this purpose because
   the survey is not immediately able to bring new businesses into the sample. There
   is an unavoidable lag between the birth of a new firm and its appearance on the
   sampling frame and availability for selection. BLS adds new businesses to the survey
   twice a year.

6. Is the count of unemployed persons limited to just those people receiving unemployment
   insurance benefits?

   No; the estimate of unemployment is based on a monthly sample survey of households.
   All persons who are without jobs and are actively seeking and available to work are
   included among the unemployed. (People on temporary layoff are included even if
   they do not actively seek work.) There is no requirement or question relating to
   unemployment insurance benefits in the monthly survey.

7. Does the official unemployment rate exclude people who want a job but are not currently
   looking for work?

   Yes; however, there are separate estimates of persons outside the labor force who
   want a job, including those who are not currently looking because they believe no
   jobs are available (discouraged workers). In addition, alternative measures of labor
   underutilization (some of which include discouraged workers and other groups not
   officially counted as unemployed) are published each month in table A-15 of The
   Employment Situation news release. For more information about these alternative
   measures, please visit www.bls.gov/cps/lfcharacteristics.htm#altmeasures.

8. How can unusually severe weather affect employment and hours estimates?

   In the establishment survey, the reference period is the pay period that includes
   the 12th of the month. Unusually severe weather is more likely to have an impact on
   average weekly hours than on employment. Average weekly hours are estimated for paid
   time during the pay period, including pay for holidays, sick leave, or other time off.
   The impact of severe weather on hours estimates typically, but not always, results in
   a reduction in average weekly hours. For example, some employees may be off work for
   part of the pay period and not receive pay for the time missed, while some workers,
   such as those dealing with cleanup or repair, may work extra hours.

   In order for severe weather conditions to reduce the estimate of payroll employment,
   employees have to be off work without pay for the entire pay period. Slightly more
   than 20 percent of all employees in the payroll survey sample have a weekly pay
   period. Employees who receive pay for any part of the pay period, even 1 hour, are
   counted in the payroll employment figures. It is not possible to quantify the effect
   of extreme weather on estimates of over-the-month change in employment.

   In the household survey, the reference period is generally the calendar week that
   includes the 12th of the month. Persons who miss the entire week's work for weather-
   related events are counted as employed whether or not they are paid for the time
   off. The household survey collects data on the number of persons who had a job but
   were not at work due to bad weather. It also provides a measure of the number of
   persons who usually work full time but had reduced hours. Current and historical
   data are available on the  household survey's most requested statistics page at

http://data.bls.gov/cgi-bin/surveymost?ln.

Technical Note

   This news release presents statistics from two major surveys, the Current
Population Survey (CPS; household survey) and the Current Employment Statistics
survey (CES; establishment survey). The household survey provides information
on the labor force, employment, and unemployment that appears in the "A" tables,
marked HOUSEHOLD DATA. It is a sample survey of about 60,000 eligible households
conducted by the U.S. Census Bureau for the U.S. Bureau of Labor Statistics (BLS).

   The establishment survey provides information on employment, hours, and
earnings of employees on nonfarm payrolls; the data appear in the "B" tables,
marked ESTABLISHMENT DATA. BLS collects these data each month from the payroll
records of a sample of nonagricultural business establishments. Each month
the CES program surveys about 145,000 businesses and government agencies,
representing approximately 557,000 individual worksites, in order to provide
detailed industry data on employment, hours, and earnings of workers on nonfarm
payrolls. The active sample includes approximately one-third of all nonfarm
payroll employees.

   For both surveys, the data for a given month relate to a particular week or
pay period. In the household survey, the reference period is generally the
calendar week that contains the 12th day of the month. In the establishment
survey, the reference period is the pay period including the 12th, which may or
may not correspond directly to the calendar week.

Coverage, definitions, and differences between surveys

   Household survey. The sample is selected to reflect the entire civilian 
noninstitutional population. Based on responses to a series of questions on 
work and job search activities, each person 16 years and over in a sample
household is classified as employed, unemployed, or not in the labor force.

   People are classified as employed if they did any work at all as paid employees
during the reference week; worked in their own business, profession, or on their
own farm; or worked without pay at least 15 hours in a family business or farm.
People are also counted as employed if they were temporarily absent from their jobs
because of illness, bad weather, vacation, labor-management disputes, or personal
reasons.

   People are classified as unemployed if they meet all of the following criteria:
they had no employment during the reference week; they were available for work at
that time; and they made specific efforts to find employment sometime during the
4-week period ending with the reference week. Persons laid off from a job and
expecting recall need not be looking for work to be counted as unemployed. The
unemployment data derived from the household survey in no way depend upon the
eligibility for or receipt of unemployment insurance benefits.

   The civilian labor force is the sum of employed and unemployed persons.
Those persons not classified as employed or unemployed are not in the labor 
force. The unemployment rate is the number unemployed as a percent of the 
labor force. The labor force participation rate is the labor force as a 
percent of the population, and the employment-population ratio is the 
employed as a percent of the population. Additional information about the 
household survey can be found at www.bls.gov/cps/documentation.htm.

   Establishment survey. The sample establishments are drawn from private
nonfarm businesses such as factories, offices, and stores, as well as
from federal, state, and local government entities. Employees on nonfarm
payrolls are those who received pay for any part of the reference pay
period, including persons on paid leave. Persons are counted in each job
they hold. Hours and earnings data are produced for the private sector for
all employees and for production and nonsupervisory employees. Production
and nonsupervisory employees are defined as production and related employees
in manufacturing and mining and logging, construction workers in construction,
and nonsupervisory employees in private service-providing industries.

   Industries are classified on the basis of an establishment’s principal
activity in accordance with the 2012 version of the North American Industry
Classification System. Additional information about the establishment survey
can be found at www.bls.gov/ces/.

   Differences in employment estimates. The numerous conceptual and methodological
differences between the household and establishment  surveys result in important
distinctions in the employment estimates derived from the surveys. Among these are:

   --The household survey includes agricultural workers, self-employed workers
     whose businesses are unincorporated, unpaid family workers, and private
     household workers among the employed. These groups are excluded from the
     establishment survey.

   --The household survey includes people on unpaid leave among the employed.
     The establishment survey does not.

   --The household survey is limited to workers 16 years of age and older.
     The establishment survey is not limited by age.

   --The household survey has no duplication of individuals, because
     individuals are counted only once, even if they hold more than one
     job. In the establishment survey, employees working at more than one
     job and thus appearing on more than one payroll are counted separately
     for each appearance.

Seasonal adjustment

   Over the course of a year, the size of the nation's labor force and the levels
of employment and unemployment undergo regularly occurring fluctuations. These 
events may result from seasonal changes in weather, major holidays, and the opening
and closing of schools. The effect of such seasonal variation can be very large.

   Because these seasonal events follow a more or less regular pattern each year,
their influence on the level of a series can be tempered by adjusting for regular
seasonal variation. These adjustments make nonseasonal developments, such as
declines in employment or increases in the participation of women in the labor
force, easier to spot. For example, in the household survey, the large number of
youth entering the labor force each June is likely to obscure any other changes
that have taken place relative to May, making it difficult to determine if the 
level of economic activity has risen or declined. Similarly, in the establishment
survey, payroll employment in education declines by about 20 percent at the end
of the spring term and later rises with the start of the fall term, obscuring the
underlying employment trends in the industry. Because seasonal employment changes
at the end and beginning of the school year can be estimated, the statistics can be
adjusted to make underlying employment patterns more discernable.  The seasonally
adjusted figures provide a more useful tool with which to analyze changes in
month-to-month economic activity.

   Many seasonally adjusted series are independently adjusted in both the household
and establishment surveys. However, the adjusted series for many major estimates,
such as total payroll employment, employment in most major sectors, total employment,
and unemployment are computed by aggregating independently adjusted component series.
For example, total unemployment is derived by summing the adjusted series for four
major age-sex components; this differs from the unemployment estimate that would be
obtained by directly adjusting the total or by combining
the duration, reasons, or more detailed age categories.

   For both the household and establishment surveys, a concurrent seasonal adjustment
methodology is used in which new seasonal factors are calculated each month using all
relevant data, up to and including the data for the current month. In the household
survey, new seasonal factors are used to adjust only the current month's data. In the
establishment survey, however, new seasonal factors are used each month to adjust the
three most recent monthly estimates. The prior 2 months are routinely revised to
incorporate additional sample reports and recalculated seasonal adjustment factors.
In both surveys, 5-year revisions to historical data are made once a year.

Reliability of the estimates

   Statistics based on the household and establishment surveys are subject to both
sampling and nonsampling error. When a sample, rather than the entire population,
is surveyed, there is a chance that the sample estimates may differ from the true
population values they represent. The component of this difference that occurs
because samples differ by chance is known as sampling error, and its variability
is measured by the standard error of the estimate. There is about a 90-percent
chance, or level of confidence, that an estimate based on a sample will differ by
no more than 1.6 standard errors from the true population value because of sampling
error. BLS analyses are generally conducted at the 90-percent level of confidence.

   For example, the confidence interval for the monthly change in total nonfarm
employment from the establishment survey is on the order of plus or minus 90,000.
Suppose the estimate of nonfarm employment increases by 50,000 from one month to
the next. The 90-percent confidence interval on the monthly change would range from
-40,000 to +140,000 (50,000 +/- 90,000). These figures do not mean that the sample
results are off by these magnitudes, but rather that there is about a 90-percent
chance that the true over-the-month change lies within this interval. Since this
range includes values of less than zero, we could not say with confidence that
nonfarm employment had, in fact, increased that month. If, however, the reported
nonfarm employment rise was 250,000, then all of the values within the 90- percent
confidence interval would be greater than zero. In this case, it is likely (at
least a 90-percent chance) that nonfarm employment had, in fact, risen that month.
At an unemployment rate of around 6.0 percent, the 90-percent confidence interval
for the monthly change in unemployment as measured by the household survey is
about +/- 300,000, and for the monthly change in the unemployment rate it is about
+/- 0.2 percentage point.

   In general, estimates involving many individuals or establishments have lower
standard errors (relative to the size of the estimate) than estimates which are based
on a small number of observations. The precision of estimates also is improved when
the data are cumulated over time, such as for quarterly and annual averages.

   The household and establishment surveys are also affected by nonsampling error,
which can occur for many reasons, including the failure to sample a segment of the
population, inability to obtain information for all respondents in the sample,
inability or unwillingness of respondents to provide correct information on a
timely basis, mistakes made by respondents, and errors made in the collection or
processing of the data.

   For example, in the establishment survey, estimates for the most recent 2 months
are based on incomplete returns; for this reason, these estimates are labeled
preliminary in the tables. It is only after two successive revisions to a monthly
estimate, when nearly all sample reports have been received, that the estimate is
considered final.

   Another major source of nonsampling error in the establishment survey is the
inability to capture, on a timely basis, employment generated by new firms. To
correct for this systematic underestimation of employment growth, an estimation
procedure with two components is used to account for business births. The first
component excludes employment losses from business deaths from sample-based
estimation in order to offset the missing employment gains from business births.
This is incorporated into the sample-based estimation procedure by simply not
reflecting sample units going out of business, but imputing to them the same
employment trend as the other firms in the sample. This procedure accounts for
most of the net birth/death employment.

   The second component is an ARIMA time series model designed to estimate the
residual net birth/death employment not accounted for by the imputation. The
historical time series used to create and test the ARIMA model was derived from
the unemployment insurance universe micro- level database, and reflects the actual
residual net of births and deaths over the past 5 years.

   The sample-based estimates from the establishment survey are adjusted once a
year (on a lagged basis) to universe counts of payroll employment obtained from
administrative records of the unemployment insurance program. The difference 
between the March sample-based employment estimates and the March universe counts
is known as a benchmark revision, and serves as a rough proxy for total survey
error. The new benchmarks also incorporate changes in the classification of
industries. Over the past decade, absolute benchmark revisions for total nonfarm
employment have averaged 0.3 percent, with a range from -0.7 to 0.6 percent.

Other information

   Information in this release will be made available to sensory impaired
individuals upon request. Voice phone: (202) 691-5200; Federal Relay
Service: (800) 877-8339.
HOUSEHOLD DATA
Table A-1. Employment status of the civilian population by sex and age

[Numbers in thousands]
Employment status, sex, and age Not seasonally adjusted Seasonally adjusted(1)
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
TOTAL
Civilian noninstitutional population 243,354 245,552 245,756 243,354 244,995 245,175 245,363 245,552 245,756
Civilian labor force 156,526 157,089 157,196 154,995 155,028 155,238 155,658 155,835 155,798
Participation rate 64.3 64.0 64.0 63.7 63.3 63.3 63.4 63.5 63.4
Employed 143,126 144,841 145,113 142,250 143,286 143,579 143,898 144,058 144,285
Employment-population ratio 58.8 59.0 59.0 58.5 58.5 58.6 58.6 58.7 58.7
Unemployed 13,400 12,248 12,083 12,745 11,742 11,659 11,760 11,777 11,514
Unemployment rate 8.6 7.8 7.7 8.2 7.6 7.5 7.6 7.6 7.4
Not in labor force 86,828 88,463 88,560 88,359 89,967 89,936 89,705 89,717 89,957
Persons who currently want a job 6,837 7,152 6,862 6,587 6,722 6,413 6,712 6,580 6,619
Men, 16 years and over
Civilian noninstitutional population 117,381 118,490 118,595 117,381 118,204 118,296 118,393 118,490 118,595
Civilian labor force 83,554 83,837 83,965 82,407 82,584 82,621 82,862 82,898 82,852
Participation rate 71.2 70.8 70.8 70.2 69.9 69.8 70.0 70.0 69.9
Employed 76,691 77,277 77,569 75,512 76,329 76,239 76,299 76,447 76,466
Employment-population ratio 65.3 65.2 65.4 64.3 64.6 64.4 64.4 64.5 64.5
Unemployed 6,863 6,560 6,396 6,895 6,255 6,382 6,564 6,451 6,387
Unemployment rate 8.2 7.8 7.6 8.4 7.6 7.7 7.9 7.8 7.7
Not in labor force 33,828 34,654 34,630 34,975 35,619 35,675 35,531 35,592 35,743
Men, 20 years and over
Civilian noninstitutional population 108,727 109,943 110,054 108,727 109,635 109,736 109,839 109,943 110,054
Civilian labor force 79,758 80,186 80,275 79,376 79,747 79,803 79,878 79,883 79,909
Participation rate 73.4 72.9 72.9 73.0 72.7 72.7 72.7 72.7 72.6
Employed 73,863 74,717 74,854 73,288 74,228 74,159 74,124 74,276 74,328
Employment-population ratio 67.9 68.0 68.0 67.4 67.7 67.6 67.5 67.6 67.5
Unemployed 5,894 5,469 5,421 6,089 5,519 5,644 5,754 5,607 5,581
Unemployment rate 7.4 6.8 6.8 7.7 6.9 7.1 7.2 7.0 7.0
Not in labor force 28,969 29,757 29,778 29,351 29,888 29,933 29,961 30,060 30,145
Women, 16 years and over
Civilian noninstitutional population 125,972 127,062 127,161 125,972 126,791 126,878 126,970 127,062 127,161
Civilian labor force 72,972 73,253 73,231 72,588 72,443 72,617 72,796 72,938 72,946
Participation rate 57.9 57.7 57.6 57.6 57.1 57.2 57.3 57.4 57.4
Employed 66,435 67,565 67,543 66,738 66,956 67,340 67,599 67,612 67,819
Employment-population ratio 52.7 53.2 53.1 53.0 52.8 53.1 53.2 53.2 53.3
Unemployed 6,537 5,688 5,688 5,850 5,487 5,277 5,197 5,326 5,127
Unemployment rate 9.0 7.8 7.8 8.1 7.6 7.3 7.1 7.3 7.0
Not in labor force 53,000 53,809 53,930 53,384 54,348 54,261 54,174 54,124 54,215
Women, 20 years and over
Civilian noninstitutional population 117,648 118,804 118,907 117,648 118,520 118,612 118,708 118,804 118,907
Civilian labor force 69,402 69,899 69,656 69,673 69,544 69,744 69,895 70,075 70,033
Participation rate 59.0 58.8 58.6 59.2 58.7 58.8 58.9 59.0 58.9
Employed 63,703 64,981 64,754 64,437 64,707 65,101 65,329 65,314 65,489
Employment-population ratio 54.1 54.7 54.5 54.8 54.6 54.9 55.0 55.0 55.1
Unemployed 5,700 4,918 4,902 5,236 4,837 4,642 4,566 4,761 4,544
Unemployment rate 8.2 7.0 7.0 7.5 7.0 6.7 6.5 6.8 6.5
Not in labor force 48,246 48,905 49,251 47,975 48,976 48,868 48,813 48,730 48,875
Both sexes, 16 to 19 years
Civilian noninstitutional population 16,979 16,805 16,795 16,979 16,840 16,827 16,816 16,805 16,795
Civilian labor force 7,366 7,004 7,264 5,945 5,737 5,692 5,886 5,878 5,857
Participation rate 43.4 41.7 43.3 35.0 34.1 33.8 35.0 35.0 34.9
Employed 5,560 5,143 5,504 4,525 4,351 4,320 4,445 4,469 4,469
Employment-population ratio 32.7 30.6 32.8 26.7 25.8 25.7 26.4 26.6 26.6
Unemployed 1,806 1,860 1,760 1,420 1,386 1,372 1,441 1,409 1,388
Unemployment rate 24.5 26.6 24.2 23.9 24.2 24.1 24.5 24.0 23.7
Not in labor force 9,613 9,801 9,530 11,033 11,103 11,135 10,930 10,927 10,938
Footnotes
(1) The population figures are not adjusted for seasonal variation; therefore, identical numbers appear in the unadjusted and seasonally adjusted columns.
NOTE: Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-2. Employment status of the civilian population by race, sex, and age

[Numbers in thousands]
Employment status, race, sex, and age Not seasonally adjusted Seasonally adjusted(1)
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
WHITE
Civilian noninstitutional population 193,245 194,254 194,373 193,245 193,946 194,041 194,147 194,254 194,373
Civilian labor force 124,749 124,627 124,807 123,578 123,382 123,504 123,844 123,766 123,719
Participation rate 64.6 64.2 64.2 63.9 63.6 63.6 63.8 63.7 63.7
Employed 115,255 116,132 116,321 114,428 115,080 115,266 115,557 115,563 115,552
Employment-population ratio 59.6 59.8 59.8 59.2 59.3 59.4 59.5 59.5 59.4
Unemployed 9,493 8,495 8,486 9,151 8,302 8,238 8,287 8,204 8,167
Unemployment rate 7.6 6.8 6.8 7.4 6.7 6.7 6.7 6.6 6.6
Not in labor force 68,496 69,628 69,565 69,667 70,565 70,537 70,303 70,488 70,654
Men, 20 years and over
Civilian labor force 64,795 64,843 64,906 64,485 64,549 64,674 64,680 64,625 64,595
Participation rate 73.8 73.3 73.3 73.4 73.1 73.2 73.2 73.1 73.0
Employed 60,588 60,951 60,995 60,073 60,594 60,540 60,545 60,620 60,528
Employment-population ratio 69.0 68.9 68.9 68.4 68.7 68.6 68.5 68.6 68.4
Unemployed 4,208 3,892 3,911 4,413 3,955 4,135 4,135 4,005 4,067
Unemployment rate 6.5 6.0 6.0 6.8 6.1 6.4 6.4 6.2 6.3
Women, 20 years and over
Civilian labor force 54,141 54,239 54,204 54,380 54,255 54,221 54,447 54,469 54,501
Participation rate 58.4 58.1 58.0 58.6 58.2 58.2 58.4 58.4 58.4
Employed 50,115 50,893 50,794 50,653 50,940 51,123 51,311 51,222 51,339
Employment-population ratio 54.0 54.5 54.4 54.6 54.7 54.8 55.0 54.9 55.0
Unemployed 4,026 3,346 3,410 3,727 3,315 3,098 3,136 3,247 3,162
Unemployment rate 7.4 6.2 6.3 6.9 6.1 5.7 5.8 6.0 5.8
Both sexes, 16 to 19 years
Civilian labor force 5,812 5,545 5,698 4,713 4,578 4,608 4,717 4,672 4,623
Participation rate 45.9 44.3 45.6 37.2 36.5 36.8 37.7 37.3 37.0
Employed 4,553 4,289 4,532 3,702 3,546 3,603 3,700 3,721 3,685
Employment-population ratio 36.0 34.3 36.2 29.3 28.3 28.8 29.6 29.7 29.5
Unemployed 1,259 1,256 1,165 1,010 1,032 1,005 1,017 951 938
Unemployment rate 21.7 22.7 20.5 21.4 22.5 21.8 21.6 20.4 20.3
BLACK OR AFRICAN AMERICAN
Civilian noninstitutional population 29,918 30,355 30,390 29,918 30,255 30,290 30,322 30,355 30,390
Civilian labor force 18,643 18,852 18,825 18,424 18,524 18,617 18,723 18,636 18,671
Participation rate 62.3 62.1 61.9 61.6 61.2 61.5 61.7 61.4 61.4
Employed 15,845 16,154 16,311 15,833 16,068 16,167 16,202 16,090 16,318
Employment-population ratio 53.0 53.2 53.7 52.9 53.1 53.4 53.4 53.0 53.7
Unemployed 2,799 2,698 2,513 2,590 2,456 2,450 2,521 2,546 2,353
Unemployment rate 15.0 14.3 13.4 14.1 13.3 13.2 13.5 13.7 12.6
Not in labor force 11,274 11,502 11,565 11,494 11,731 11,673 11,599 11,719 11,719
Men, 20 years and over
Civilian labor force 8,307 8,411 8,450 8,277 8,447 8,377 8,441 8,358 8,434
Participation rate 68.1 67.5 67.7 67.9 68.1 67.4 67.9 67.1 67.6
Employed 7,071 7,331 7,398 7,049 7,370 7,319 7,301 7,270 7,382
Employment-population ratio 58.0 58.9 59.3 57.8 59.4 58.9 58.7 58.4 59.2
Unemployed 1,236 1,079 1,052 1,228 1,077 1,058 1,140 1,088 1,052
Unemployment rate 14.9 12.8 12.4 14.8 12.7 12.6 13.5 13.0 12.5
Women, 20 years and over
Civilian labor force 9,361 9,551 9,444 9,371 9,365 9,529 9,562 9,556 9,508
Participation rate 62.1 62.3 61.5 62.1 61.3 62.3 62.5 62.3 62.0
Employed 8,170 8,365 8,382 8,290 8,226 8,425 8,487 8,413 8,510
Employment-population ratio 54.2 54.6 54.6 55.0 53.9 55.1 55.4 54.9 55.5
Unemployed 1,190 1,186 1,063 1,080 1,139 1,105 1,074 1,143 998
Unemployment rate 12.7 12.4 11.3 11.5 12.2 11.6 11.2 12.0 10.5
Both sexes, 16 to 19 years
Civilian labor force 976 891 930 776 713 711 720 722 729
Participation rate 37.0 34.7 36.3 29.4 27.6 27.5 28.0 28.1 28.4
Employed 604 458 531 494 472 423 413 407 426
Employment-population ratio 22.9 17.8 20.7 18.7 18.2 16.4 16.1 15.8 16.6
Unemployed 372 433 399 282 241 287 307 315 303
Unemployment rate 38.1 48.6 42.9 36.3 33.8 40.5 42.6 43.6 41.6
ASIAN
Civilian noninstitutional population 12,812 13,291 13,298 - - - - - -
Civilian labor force 8,346 8,737 8,641 - - - - - -
Participation rate 65.1 65.7 65.0 - - - - - -
Employed 7,830 8,302 8,153 - - - - - -
Employment-population ratio 61.1 62.5 61.3 - - - - - -
Unemployed 516 435 488 - - - - - -
Unemployment rate 6.2 5.0 5.7 - - - - - -
Not in labor force 4,466 4,554 4,657 - - - - - -
Footnotes
(1) The population figures are not adjusted for seasonal variation; therefore, identical numbers appear in the unadjusted and seasonally adjusted columns.
- Data not available.
NOTE: Estimates for the above race groups will not sum to totals shown in table A-1 because data are not presented for all races. Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-3. Employment status of the Hispanic or Latino population by sex and age

[Numbers in thousands]
Employment status, sex, and age Not seasonally adjusted Seasonally adjusted(1)
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
HISPANIC OR LATINO ETHNICITY
Civilian noninstitutional population 36,792 37,471 37,548 36,792 37,242 37,320 37,395 37,471 37,548
Civilian labor force 24,627 24,975 25,220 24,467 24,354 24,512 24,848 24,869 25,040
Participation rate 66.9 66.7 67.2 66.5 65.4 65.7 66.4 66.4 66.7
Employed 22,092 22,698 22,822 21,950 22,122 22,310 22,583 22,601 22,675
Employment-population ratio 60.0 60.6 60.8 59.7 59.4 59.8 60.4 60.3 60.4
Unemployed 2,536 2,277 2,398 2,517 2,232 2,202 2,265 2,267 2,366
Unemployment rate 10.3 9.1 9.5 10.3 9.2 9.0 9.1 9.1 9.4
Not in labor force 12,164 12,495 12,328 12,325 12,888 12,808 12,547 12,602 12,508
Men, 20 years and over
Civilian labor force 13,426 13,768 13,847 - - - - - -
Participation rate 81.0 81.4 81.7 - - - - - -
Employed 12,325 12,731 12,784 - - - - - -
Employment-population ratio 74.4 75.3 75.5 - - - - - -
Unemployed 1,102 1,036 1,063 - - - - - -
Unemployment rate 8.2 7.5 7.7 - - - - - -
Women, 20 years and over
Civilian labor force 9,814 9,914 9,930 - - - - - -
Participation rate 59.3 58.6 58.6 - - - - - -
Employed 8,788 9,057 9,041 - - - - - -
Employment-population ratio 53.1 53.5 53.3 - - - - - -
Unemployed 1,027 857 889 - - - - - -
Unemployment rate 10.5 8.6 9.0 - - - - - -
Both sexes, 16 to 19 years
Civilian labor force 1,386 1,293 1,443 - - - - - -
Participation rate 37.9 35.4 39.5 - - - - - -
Employed 979 910 997 - - - - - -
Employment-population ratio 26.8 24.9 27.3 - - - - - -
Unemployed 407 383 446 - - - - - -
Unemployment rate 29.4 29.6 30.9 - - - - - -
Footnotes
(1) The population figures are not adjusted for seasonal variation; therefore, identical numbers appear in the unadjusted and seasonally adjusted columns.
- Data not available.
NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-4. Employment status of the civilian population 25 years and over by educational attainment

[Numbers in thousands]
Educational attainment Not seasonally adjusted Seasonally adjusted
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
Less than a high school diploma
Civilian labor force 11,457 11,414 10,886 11,446 11,264 10,999 11,237 11,161 10,889
Participation rate 46.2 45.5 45.4 46.2 46.0 44.8 45.0 44.5 45.4
Employed 10,062 10,312 9,723 9,997 10,012 9,725 9,993 9,969 9,692
Employment-population ratio 40.6 41.1 40.5 40.3 40.9 39.6 40.0 39.8 40.4
Unemployed 1,395 1,102 1,163 1,449 1,252 1,274 1,243 1,192 1,197
Unemployment rate 12.2 9.7 10.7 12.7 11.1 11.6 11.1 10.7 11.0
High school graduates, no college(1)
Civilian labor force 36,782 36,324 36,722 37,014 36,121 36,200 36,236 36,320 36,741
Participation rate 59.2 59.1 59.0 59.6 58.6 58.7 58.9 59.1 59.0
Employed 33,676 33,681 33,995 33,823 33,359 33,510 33,572 33,562 33,950
Employment-population ratio 54.2 54.8 54.6 54.5 54.1 54.3 54.6 54.6 54.5
Unemployed 3,105 2,643 2,727 3,191 2,762 2,689 2,664 2,757 2,791
Unemployment rate 8.4 7.3 7.4 8.6 7.6 7.4 7.4 7.6 7.6
Some college or associate degree
Civilian labor force 37,299 36,943 37,252 37,414 37,232 37,371 37,470 37,297 37,341
Participation rate 68.1 67.4 67.1 68.3 68.1 68.4 68.5 68.1 67.3
Employed 34,546 34,561 34,931 34,772 34,845 34,992 35,036 34,925 35,105
Employment-population ratio 63.1 63.1 62.9 63.5 63.8 64.1 64.0 63.7 63.2
Unemployed 2,752 2,382 2,320 2,642 2,387 2,379 2,435 2,372 2,237
Unemployment rate 7.4 6.4 6.2 7.1 6.4 6.4 6.5 6.4 6.0
Bachelor’s degree and higher(2)
Civilian labor force 47,517 49,086 48,831 47,675 49,236 49,492 49,473 49,466 49,173
Participation rate 75.5 75.1 75.0 75.8 75.3 75.6 75.8 75.6 75.5
Employed 45,381 47,163 46,779 45,711 47,371 47,563 47,581 47,537 47,281
Employment-population ratio 72.1 72.1 71.8 72.6 72.5 72.7 72.9 72.7 72.6
Unemployed 2,136 1,923 2,051 1,964 1,865 1,929 1,892 1,929 1,891
Unemployment rate 4.5 3.9 4.2 4.1 3.8 3.9 3.8 3.9 3.8
Footnotes
(1) Includes persons with a high school diploma or equivalent.
(2) Includes persons with bachelor’s, master’s, professional, and doctoral degrees.
NOTE: Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-5. Employment status of the civilian population 18 years and over by veteran status, period of service, and sex, not seasonally adjusted

[Numbers in thousands]
Employment status, veteran status, and period of service Total Men Women
July
2012
July
2013
July
2012
July
2013
July
2012
July
2013
VETERANS, 18 years and over
Civilian noninstitutional population 21,163 21,384 19,349 19,159 1,814 2,225
Civilian labor force 10,925 10,923 9,845 9,529 1,080 1,395
Participation rate 51.6 51.1 50.9 49.7 59.5 62.7
Employed 10,173 10,221 9,171 8,918 1,002 1,303
Employment-population ratio 48.1 47.8 47.4 46.5 55.2 58.6
Unemployed 752 702 674 610 79 92
Unemployment rate 6.9 6.4 6.8 6.4 7.3 6.6
Not in labor force 10,238 10,461 9,504 9,630 734 830
Gulf War-era II veterans
Civilian noninstitutional population 2,453 2,728 2,056 2,197 397 530
Civilian labor force 1,945 2,155 1,683 1,800 263 355
Participation rate 79.3 79.0 81.9 81.9 66.1 67.0
Employed 1,771 1,989 1,524 1,661 247 328
Employment-population ratio 72.2 72.9 74.2 75.6 62.2 61.8
Unemployed 174 166 159 138 15 27
Unemployment rate 8.9 7.7 9.4 7.7 5.9 7.7
Not in labor force 507 573 373 397 135 175
Gulf War-era I veterans
Civilian noninstitutional population 3,158 3,291 2,668 2,664 489 627
Civilian labor force 2,599 2,713 2,237 2,208 361 504
Participation rate 82.3 82.4 83.8 82.9 73.8 80.5
Employed 2,428 2,572 2,098 2,093 330 479
Employment-population ratio 76.9 78.1 78.6 78.6 67.5 76.4
Unemployed 170 141 139 115 31 26
Unemployment rate 6.5 5.2 6.2 5.2 8.5 5.1
Not in labor force 559 578 431 456 128 122
World War II, Korean War, and Vietnam-era veterans
Civilian noninstitutional population 9,868 9,789 9,551 9,421 318 368
Civilian labor force 3,217 2,922 3,125 2,835 92 87
Participation rate 32.6 29.9 32.7 30.1 29.1 23.7
Employed 3,020 2,727 2,932 2,644 88 84
Employment-population ratio 30.6 27.9 30.7 28.1 27.7 22.7
Unemployed 197 195 193 192 4 4
Unemployment rate 6.1 6.7 6.2 6.8 4.6 4.0
Not in labor force 6,652 6,867 6,426 6,586 225 281
Veterans of other service periods
Civilian noninstitutional population 5,684 5,576 5,074 4,876 610 700
Civilian labor force 3,164 3,133 2,800 2,685 364 448
Participation rate 55.7 56.2 55.2 55.1 59.7 64.0
Employed 2,953 2,933 2,617 2,520 336 413
Employment-population ratio 52.0 52.6 51.6 51.7 55.1 58.9
Unemployed 211 200 183 165 28 36
Unemployment rate 6.7 6.4 6.5 6.1 7.7 7.9
Not in labor force 2,520 2,443 2,274 2,191 246 252
NONVETERANS, 18 years and over
Civilian noninstitutional population 213,366 215,592 93,604 94,951 119,762 120,641
Civilian labor force 142,848 143,519 72,405 73,049 70,443 70,470
Participation rate 66.9 66.6 77.4 76.9 58.8 58.4
Employed 130,997 133,021 66,608 67,722 64,389 65,299
Employment-population ratio 61.4 61.7 71.2 71.3 53.8 54.1
Unemployed 11,850 10,498 5,797 5,327 6,054 5,171
Unemployment rate 8.3 7.3 8.0 7.3 8.6 7.3
Not in labor force 70,518 72,072 21,199 21,902 49,319 50,171
NOTE: Veterans served on active duty in the U.S. Armed Forces and were not on active duty at the time of the survey. Nonveterans never served on active duty in the U.S. Armed Forces. Veterans could have served anywhere in the world during these periods of service: Gulf War era II (September 2001-present), Gulf War era I (August 1990-August 2001), Vietnam era (August 1964-April 1975), Korean War (July 1950-January 1955), World War II (December 1941-December 1946), and other service periods (all other time periods). Veterans who served in more than one wartime period are classified only in the most recent one. Veterans who served during one of the selected wartime periods and another period are classified only in the wartime period. Beginning with data for January 2013, estimates for veterans incorporate population controls derived from the updated Department of Veterans Affairs’ population model.
HOUSEHOLD DATA
Table A-6. Employment status of the civilian population by sex, age, and disability status, not seasonally adjusted

[Numbers in thousands]
Employment status, sex, and age Persons with a disability Persons with no disability
July
2012
July
2013
July
2012
July
2013
TOTAL, 16 years and over
Civilian noninstitutional population 28,007 28,406 215,346 217,349
Civilian labor force 5,791 5,778 150,735 151,418
Participation rate 20.7 20.3 70.0 69.7
Employed 5,004 4,926 138,122 140,186
Employment-population ratio 17.9 17.3 64.1 64.5
Unemployed 787 852 12,613 11,231
Unemployment rate 13.6 14.7 8.4 7.4
Not in labor force 22,216 22,628 64,611 65,932
Men, 16 to 64 years
Civilian labor force 2,612 2,638 76,636 76,858
Participation rate 34.4 35.3 83.9 83.6
Employed 2,289 2,240 70,401 71,084
Employment-population ratio 30.2 30.0 77.0 77.3
Unemployed 323 398 6,235 5,774
Unemployment rate 12.4 15.1 8.1 7.5
Not in labor force 4,971 4,841 14,742 15,073
Women, 16 to 64 years
Civilian labor force 2,207 2,188 67,470 67,576
Participation rate 28.7 28.3 71.2 71.0
Employed 1,817 1,778 61,567 62,468
Employment-population ratio 23.6 23.0 64.9 65.7
Unemployed 390 410 5,903 5,108
Unemployment rate 17.7 18.7 8.7 7.6
Not in labor force 5,487 5,556 27,352 27,574
Both sexes, 65 years and over
Civilian labor force 973 953 6,629 6,984
Participation rate 7.6 7.2 22.7 23.1
Employed 898 908 6,155 6,634
Employment-population ratio 7.1 6.9 21.1 21.9
Unemployed 74 44 474 350
Unemployment rate 7.6 4.7 7.2 5.0
Not in labor force 11,758 12,232 22,517 23,285
NOTE: A person with a disability has at least one of the following conditions: is deaf or has serious difficulty hearing; is blind or has serious difficulty seeing even when wearing glasses; has serious difficulty concentrating, remembering, or making decisions because of a physical, mental, or emotional condition; has serious difficulty walking or climbing stairs; has difficulty dressing or bathing; or has difficulty doing errands alone such as visiting a doctor’s office or shopping because of a physical, mental, or emotional condition. Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-7. Employment status of the civilian population by nativity and sex, not seasonally adjusted

[Numbers in thousands]
Employment status and nativity Total Men Women
July
2012
July
2013
July
2012
July
2013
July
2012
July
2013
Foreign born, 16 years and over
Civilian noninstitutional population 37,627 37,941 18,428 18,391 19,199 19,550
Civilian labor force 25,180 25,382 14,575 14,634 10,606 10,748
Participation rate 66.9 66.9 79.1 79.6 55.2 55.0
Employed 23,211 23,689 13,553 13,767 9,657 9,922
Employment-population ratio 61.7 62.4 73.5 74.9 50.3 50.8
Unemployed 1,970 1,693 1,021 867 948 825
Unemployment rate 7.8 6.7 7.0 5.9 8.9 7.7
Not in labor force 12,446 12,559 3,853 3,757 8,593 8,802
Native born, 16 years and over
Civilian noninstitutional population 205,727 207,815 98,954 100,204 106,774 107,611
Civilian labor force 131,346 131,814 68,979 69,331 62,367 62,483
Participation rate 63.8 63.4 69.7 69.2 58.4 58.1
Employed 119,916 121,424 63,137 63,803 56,778 57,621
Employment-population ratio 58.3 58.4 63.8 63.7 53.2 53.5
Unemployed 11,430 10,390 5,842 5,528 5,589 4,862
Unemployment rate 8.7 7.9 8.5 8.0 9.0 7.8
Not in labor force 74,381 76,001 29,975 30,873 44,407 45,128
NOTE: The foreign born are those residing in the United States who were not U.S. citizens at birth. That is, they were born outside the United States or one of its outlying areas such as Puerto Rico or Guam, to parents neither of whom was a U.S. citizen. The native born are persons who were born in the United States or one of its outlying areas such as Puerto Rico or Guam or who were born abroad of at least one parent who was a U.S. citizen. Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-8. Employed persons by class of worker and part-time status

[In thousands]
Category Not seasonally adjusted Seasonally adjusted
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
CLASS OF WORKER
Agriculture and related industries 2,477 2,234 2,435 2,224 2,001 2,017 2,059 2,067 2,159
Wage and salary workers(1) 1,584 1,380 1,494 1,397 1,250 1,227 1,263 1,268 1,303
Self-employed workers, unincorporated 843 836 915 786 710 772 793 790 842
Unpaid family workers 49 18 25 - - - - - -
Nonagricultural industries 140,649 142,607 142,678 140,013 141,317 141,592 141,890 142,004 142,165
Wage and salary workers(1) 131,619 133,652 133,606 131,154 132,761 132,847 133,201 133,273 133,224
Government 19,332 19,719 19,151 20,100 20,633 20,269 20,361 20,157 20,041
Private industries 112,287 113,932 114,455 110,990 112,147 112,558 112,865 113,167 113,164
Private households 818 702 704 - - - - - -
Other industries 111,469 113,230 113,752 110,255 111,462 111,932 112,274 112,552 112,535
Self-employed workers, unincorporated 8,957 8,885 9,010 8,845 8,407 8,651 8,597 8,643 8,831
Unpaid family workers 74 71 62 - - - - - -
PERSONS AT WORK PART TIME(2)
All industries
Part time for economic reasons(3) 8,316 8,440 8,324 8,245 7,638 7,916 7,904 8,226 8,245
Slack work or business conditions 5,235 5,222 5,140 5,319 4,906 5,129 4,841 5,193 5,177
Could only find part-time work 2,637 2,748 2,757 2,568 2,576 2,527 2,721 2,652 2,665
Part time for noneconomic reasons(4) 17,200 17,931 17,503 18,846 18,745 18,908 18,934 19,044 19,128
Nonagricultural industries
Part time for economic reasons(3) 8,218 8,328 8,207 8,104 7,544 7,793 7,797 8,111 8,101
Slack work or business conditions 5,175 5,150 5,068 5,258 4,832 5,058 4,778 5,120 5,106
Could only find part-time work 2,607 2,717 2,732 2,558 2,510 2,454 2,686 2,632 2,665
Part time for noneconomic reasons(4) 16,863 17,644 17,201 18,519 18,435 18,542 18,511 18,696 18,779
Footnotes
(1) Includes self-employed workers whose businesses are incorporated.
(2) Refers to those who worked 1 to 34 hours during the survey reference week and excludes employed persons who were absent from their jobs for the entire week.
(3) Refers to those who worked 1 to 34 hours during the reference week for an economic reason such as slack work or unfavorable business conditions, inability to find full-time work, or seasonal declines in demand.
(4) Refers to persons who usually work part time for noneconomic reasons such as childcare problems, family or personal obligations, school or training, retirement or Social Security limits on earnings, and other reasons. This excludes persons who usually work full time but worked only 1 to 34 hours during the reference week for reasons such as vacations, holidays, illness, and bad weather.
- Data not available.
NOTE: Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-9. Selected employment indicators

[Numbers in thousands]
Characteristic Not seasonally adjusted Seasonally adjusted
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
AGE AND SEX
Total, 16 years and over 143,126 144,841 145,113 142,250 143,286 143,579 143,898 144,058 144,285
16 to 19 years 5,560 5,143 5,504 4,525 4,351 4,320 4,445 4,469 4,469
16 to 17 years 1,956 1,676 1,870 1,538 1,482 1,490 1,505 1,451 1,460
18 to 19 years 3,604 3,467 3,634 3,007 2,868 2,834 2,937 3,027 3,034
20 years and over 137,566 139,698 139,608 137,725 138,935 139,260 139,453 139,589 139,816
20 to 24 years 13,901 13,981 14,180 13,380 13,382 13,569 13,412 13,605 13,654
25 years and over 123,665 125,717 125,428 124,279 125,615 125,678 126,057 125,978 126,087
25 to 54 years 93,769 94,390 94,247 94,000 94,409 94,393 94,569 94,461 94,476
25 to 34 years 30,601 31,206 31,168 30,554 31,180 31,133 31,292 31,217 31,176
35 to 44 years 30,389 30,523 30,582 30,523 30,620 30,637 30,691 30,570 30,686
45 to 54 years 32,779 32,661 32,497 32,924 32,610 32,623 32,586 32,675 32,613
55 years and over 29,896 31,326 31,181 30,279 31,206 31,285 31,488 31,517 31,612
Men, 16 years and over 76,691 77,277 77,569 75,512 76,329 76,239 76,299 76,447 76,466
16 to 19 years 2,827 2,560 2,715 2,224 2,101 2,080 2,175 2,171 2,138
16 to 17 years 912 832 929 666 645 653 686 696 679
18 to 19 years 1,916 1,728 1,786 1,560 1,444 1,426 1,485 1,495 1,457
20 years and over 73,863 74,717 74,854 73,288 74,228 74,159 74,124 74,276 74,328
20 to 24 years 7,313 7,193 7,412 6,936 7,006 6,990 6,917 6,952 7,037
25 years and over 66,550 67,524 67,442 66,323 67,205 67,095 67,192 67,331 67,270
25 to 54 years 50,581 50,878 50,882 50,263 50,669 50,565 50,613 50,672 50,592
25 to 34 years 16,726 16,987 16,971 16,561 16,980 16,887 16,961 16,944 16,849
35 to 44 years 16,583 16,607 16,680 16,500 16,655 16,673 16,660 16,602 16,597
45 to 54 years 17,272 17,284 17,231 17,202 17,034 17,005 16,992 17,125 17,146
55 years and over 15,969 16,646 16,560 16,060 16,536 16,530 16,578 16,659 16,678
Women, 16 years and over 66,435 67,565 67,543 66,738 66,956 67,340 67,599 67,612 67,819
16 to 19 years 2,733 2,584 2,789 2,301 2,250 2,239 2,271 2,298 2,330
16 to 17 years 1,045 844 941 871 837 837 819 755 781
18 to 19 years 1,688 1,739 1,848 1,447 1,424 1,408 1,452 1,532 1,577
20 years and over 63,703 64,981 64,754 64,437 64,707 65,101 65,329 65,314 65,489
20 to 24 years 6,588 6,789 6,768 6,443 6,376 6,578 6,495 6,653 6,617
25 years and over 57,115 58,192 57,986 57,956 58,411 58,583 58,866 58,647 58,817
25 to 54 years 43,188 43,512 43,365 43,737 43,740 43,828 43,955 43,790 43,884
25 to 34 years 13,875 14,220 14,197 13,992 14,200 14,246 14,330 14,272 14,327
35 to 44 years 13,805 13,915 13,902 14,023 13,965 13,964 14,030 13,968 14,089
45 to 54 years 15,507 15,377 15,265 15,722 15,575 15,619 15,595 15,550 15,467
55 years and over 13,927 14,680 14,621 14,219 14,670 14,755 14,910 14,857 14,934
MARITAL STATUS
Married men, spouse present 43,743 43,923 43,873 43,764 44,007 44,024 44,176 43,963 43,914
Married women, spouse present 33,734 34,276 33,950 34,365 34,319 34,346 34,716 34,672 34,622
Women who maintain families 9,354 9,348 9,291 - - - - - -
FULL- OR PART-TIME STATUS
Full-time workers(1) 116,131 117,400 117,688 114,478 115,903 116,053 116,238 115,998 116,090
Part-time workers(2) 26,995 27,442 27,425 27,890 27,442 27,549 27,699 28,059 28,233
MULTIPLE JOBHOLDERS
Total multiple jobholders 6,741 6,990 6,897 6,871 7,102 6,983 6,918 7,065 7,036
Percent of total employed 4.7 4.8 4.8 4.8 5.0 4.9 4.8 4.9 4.9
SELF-EMPLOYMENT
Self-employed workers, incorporated 5,256 5,170 5,187 - - - - - -
Self-employed workers, unincorporated 9,800 9,720 9,925 9,630 9,117 9,423 9,390 9,432 9,673
Footnotes
(1) Employed full-time workers are persons who usually work 35 hours or more per week.
(2) Employed part-time workers are persons who usually work less than 35 hours per week.
- Data not available.
NOTE: Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-10. Selected unemployment indicators, seasonally adjusted
Characteristic Number of
unemployed persons
(in thousands)
Unemployment rates
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
AGE AND SEX
Total, 16 years and over 12,745 11,777 11,514 8.2 7.6 7.5 7.6 7.6 7.4
16 to 19 years 1,420 1,409 1,388 23.9 24.2 24.1 24.5 24.0 23.7
16 to 17 years 564 522 599 26.8 27.1 27.3 27.5 26.5 29.1
18 to 19 years 859 882 755 22.2 22.1 22.6 22.4 22.6 19.9
20 years and over 11,325 10,368 10,125 7.6 6.9 6.9 6.9 6.9 6.8
20 to 24 years 2,082 2,123 1,962 13.5 13.3 13.1 13.2 13.5 12.6
25 years and over 9,266 8,274 8,163 6.9 6.2 6.1 6.1 6.2 6.1
25 to 54 years 7,248 6,491 6,463 7.2 6.4 6.4 6.4 6.4 6.4
25 to 34 years 2,735 2,579 2,544 8.2 7.4 7.4 7.2 7.6 7.5
35 to 44 years 2,213 1,932 1,952 6.8 6.0 5.8 6.2 5.9 6.0
45 to 54 years 2,299 1,981 1,967 6.5 5.7 5.9 5.9 5.7 5.7
55 years and over 1,973 1,777 1,657 6.1 5.5 5.5 5.3 5.3 5.0
Men, 16 years and over 6,895 6,451 6,387 8.4 7.6 7.7 7.9 7.8 7.7
16 to 19 years 806 844 805 26.6 25.9 26.2 27.1 28.0 27.4
16 to 17 years 286 309 327 30.0 30.7 31.2 31.6 30.8 32.5
18 to 19 years 512 521 460 24.7 23.4 23.9 24.0 25.8 24.0
20 years and over 6,089 5,607 5,581 7.7 6.9 7.1 7.2 7.0 7.0
20 to 24 years 1,224 1,228 1,158 15.0 14.4 14.0 14.6 15.0 14.1
25 years and over 4,865 4,406 4,415 6.8 6.0 6.3 6.3 6.1 6.2
25 to 54 years 3,752 3,436 3,431 6.9 6.1 6.5 6.5 6.4 6.4
25 to 34 years 1,420 1,362 1,404 7.9 7.1 7.6 7.3 7.4 7.7
35 to 44 years 1,150 1,015 1,028 6.5 5.6 5.7 6.1 5.8 5.8
45 to 54 years 1,181 1,059 999 6.4 5.6 6.2 6.2 5.8 5.5
55 years and over 1,113 970 984 6.5 5.7 5.7 5.8 5.5 5.6
Women, 16 years and over 5,850 5,326 5,127 8.1 7.6 7.3 7.1 7.3 7.0
16 to 19 years 614 565 583 21.1 22.4 22.1 21.7 19.7 20.0
16 to 17 years 278 214 272 24.2 24.0 23.8 23.6 22.0 25.8
18 to 19 years 347 361 295 19.3 20.7 21.2 20.6 19.1 15.8
20 years and over 5,236 4,761 4,544 7.5 7.0 6.7 6.5 6.8 6.5
20 to 24 years 858 895 804 11.8 12.0 12.3 11.8 11.9 10.8
25 years and over 4,401 3,868 3,748 7.1 6.3 5.9 5.9 6.2 6.0
25 to 54 years 3,496 3,055 3,032 7.4 6.6 6.2 6.3 6.5 6.5
25 to 34 years 1,315 1,217 1,140 8.6 7.7 7.3 7.1 7.9 7.4
35 to 44 years 1,063 916 924 7.0 6.5 6.0 6.4 6.2 6.2
45 to 54 years 1,118 921 968 6.6 5.7 5.5 5.7 5.6 5.9
55 years and over(1) 979 836 750 6.6 5.2 4.8 4.3 5.4 4.9
MARITAL STATUS
Married men, spouse present 2,276 1,975 1,967 4.9 4.3 4.4 4.4 4.3 4.3
Married women, spouse present 2,074 1,677 1,678 5.7 4.7 4.4 4.4 4.6 4.6
Women who maintain families(1) 1,239 1,123 1,095 11.7 10.7 10.3 9.9 10.7 10.5
FULL- OR PART-TIME STATUS
Full-time workers(2) 10,787 9,956 9,604 8.6 7.9 7.9 7.9 7.9 7.6
Part-time workers(3) 1,953 1,834 1,882 6.5 5.9 6.0 5.9 6.1 6.2
Footnotes
(1) Not seasonally adjusted.
(2) Full-time workers are unemployed persons who have expressed a desire to work full time (35 hours or more per week) or are on layoff from full-time jobs.
(3) Part-time workers are unemployed persons who have expressed a desire to work part time (less than 35 hours per week) or are on layoff from part-time jobs.
NOTE: Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-11. Unemployed persons by reason for unemployment

[Numbers in thousands]
Reason Not seasonally adjusted Seasonally adjusted
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
NUMBER OF UNEMPLOYED
Job losers and persons who completed temporary jobs 7,151 5,939 5,934 7,106 6,329 6,410 6,147 6,119 5,921
On temporary layoff 1,525 1,139 1,337 1,429 1,107 1,170 997 1,199 1,221
Not on temporary layoff 5,626 4,800 4,597 5,677 5,223 5,240 5,151 4,920 4,700
Permanent job losers 4,377 3,639 3,548 4,368 3,959 3,976 3,822 3,700 3,589
Persons who completed temporary jobs 1,248 1,161 1,049 1,308 1,264 1,264 1,329 1,220 1,111
Job leavers 897 981 996 879 986 864 944 1,030 979
Reentrants 3,579 3,600 3,450 3,374 3,176 3,151 3,333 3,291 3,258
New entrants 1,773 1,728 1,703 1,299 1,316 1,280 1,268 1,259 1,254
PERCENT DISTRIBUTION
Job losers and persons who completed temporary jobs 53.4 48.5 49.1 56.1 53.6 54.8 52.6 52.3 51.9
On temporary layoff 11.4 9.3 11.1 11.3 9.4 10.0 8.5 10.2 10.7
Not on temporary layoff 42.0 39.2 38.0 44.8 44.2 44.8 44.1 42.1 41.2
Job leavers 6.7 8.0 8.2 6.9 8.4 7.4 8.1 8.8 8.6
Reentrants 26.7 29.4 28.6 26.7 26.9 26.9 28.5 28.1 28.5
New entrants 13.2 14.1 14.1 10.3 11.1 10.9 10.8 10.8 11.0
UNEMPLOYED AS A PERCENT OF THE
CIVILIAN LABOR FORCE
Job losers and persons who completed temporary jobs 4.6 3.8 3.8 4.6 4.1 4.1 3.9 3.9 3.8
Job leavers 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.7 0.6
Reentrants 2.3 2.3 2.2 2.2 2.0 2.0 2.1 2.1 2.1
New entrants 1.1 1.1 1.1 0.8 0.8 0.8 0.8 0.8 0.8
NOTE: Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-12. Unemployed persons by duration of unemployment

[Numbers in thousands]
Duration Not seasonally adjusted Seasonally adjusted
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
NUMBER OF UNEMPLOYED
Less than 5 weeks 3,021 3,569 2,842 2,697 2,464 2,474 2,706 2,692 2,563
5 to 14 weeks 3,585 2,592 3,348 3,102 2,838 2,848 2,669 2,864 2,869
15 weeks and over 6,794 6,086 5,892 6,923 6,348 6,320 6,306 6,225 6,034
15 to 26 weeks 1,547 1,841 1,570 1,756 1,737 1,967 1,950 1,896 1,788
27 weeks and over 5,247 4,245 4,322 5,167 4,611 4,353 4,357 4,328 4,246
Average (mean) duration, in weeks 37.4 34.1 35.3 38.8 37.1 36.5 36.9 35.6 36.6
Median duration, in weeks 15.2 14.3 13.8 16.8 18.1 17.5 17.3 16.3 15.7
PERCENT DISTRIBUTION
Less than 5 weeks 22.5 29.1 23.5 21.2 21.1 21.3 23.2 22.9 22.4
5 to 14 weeks 26.8 21.2 27.7 24.4 24.4 24.5 22.8 24.3 25.0
15 weeks and over 50.7 49.7 48.8 54.4 54.5 54.3 54.0 52.8 52.6
15 to 26 weeks 11.5 15.0 13.0 13.8 14.9 16.9 16.7 16.1 15.6
27 weeks and over 39.2 34.7 35.8 40.6 39.6 37.4 37.3 36.7 37.0
NOTE: Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-13. Employed and unemployed persons by occupation, not seasonally adjusted

[Numbers in thousands]
Occupation Employed Unemployed Unemployment
rates
July
2012
July
2013
July
2012
July
2013
July
2012
July
2013
Total, 16 years and over(1) 143,126 145,113 13,400 12,083 8.6 7.7
Management, professional, and related occupations 53,165 54,064 2,666 2,286 4.8 4.1
Management, business, and financial operations occupations 22,943 22,754 912 737 3.8 3.1
Professional and related occupations 30,222 31,309 1,753 1,549 5.5 4.7
Service occupations 26,565 26,768 2,666 2,573 9.1 8.8
Sales and office occupations 32,835 33,142 2,836 2,450 8.0 6.9
Sales and related occupations 15,536 15,840 1,400 1,170 8.3 6.9
Office and administrative support occupations 17,299 17,301 1,436 1,280 7.7 6.9
Natural resources, construction, and maintenance occupations 13,174 13,973 1,529 1,288 10.4 8.4
Farming, fishing, and forestry occupations 1,216 1,157 138 78 10.2 6.3
Construction and extraction occupations 7,157 7,665 1,056 930 12.9 10.8
Installation, maintenance, and repair occupations 4,801 5,151 335 280 6.5 5.2
Production, transportation, and material moving
occupations
17,388 17,167 1,900 1,735 9.8 9.2
Production occupations 8,545 8,337 903 857 9.6 9.3
Transportation and material moving occupations 8,843 8,830 997 878 10.1 9.0
Footnotes
(1) Persons with no previous work experience and persons whose last job was in the U.S. Armed Forces are included in the unemployed total.
NOTE: Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-14. Unemployed persons by industry and class of worker, not seasonally adjusted
Industry and class of worker Number of
unemployed
persons
(in thousands)
Unemployment
rates
July
2012
July
2013
July
2012
July
2013
Total, 16 years and over(1) 13,400 12,083 8.6 7.7
Nonagricultural private wage and salary workers 9,692 8,683 7.9 7.1
Mining, quarrying, and oil and gas extraction 83 57 7.6 5.1
Construction 994 767 12.3 9.1
Manufacturing 1,128 1,082 7.2 6.9
Durable goods 703 619 7.2 6.3
Nondurable goods 426 463 7.3 7.8
Wholesale and retail trade 1,780 1,389 8.6 6.8
Transportation and utilities 392 388 6.5 6.4
Information 190 172 6.7 5.8
Financial activities 458 412 5.1 4.5
Professional and business services 1,378 1,265 9.1 8.1
Education and health services 1,436 1,283 6.5 5.7
Leisure and hospitality 1,420 1,470 9.7 10.0
Other services 433 396 6.7 6.0
Agriculture and related private wage and salary workers 131 97 7.9 6.5
Government workers 1,182 1,073 5.7 5.3
Self-employed workers, unincorporated, and unpaid family workers 623 528 5.9 5.0
Footnotes
(1) Persons with no previous work experience and persons whose last job was in the U.S. Armed Forces are included in the unemployed total.
NOTE: Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-15. Alternative measures of labor underutilization

[Percent]
Measure Not seasonally adjusted Seasonally adjusted
July
2012
June
2013
July
2013
July
2012
Mar.
2013
Apr.
2013
May
2013
June
2013
July
2013
U-1 Persons unemployed 15 weeks or longer, as a percent of the civilian labor force 4.3 3.9 3.7 4.5 4.1 4.1 4.1 4.0 3.9
U-2 Job losers and persons who completed temporary jobs, as a percent of the civilian labor force 4.6 3.8 3.8 4.6 4.1 4.1 3.9 3.9 3.8
U-3 Total unemployed, as a percent of the civilian labor force (official unemployment rate) 8.6 7.8 7.7 8.2 7.6 7.5 7.6 7.6 7.4
U-4 Total unemployed plus discouraged workers, as a percent of the civilian labor force plus discouraged workers 9.1 8.4 8.3 8.7 8.1 8.0 8.0 8.2 8.0
U-5 Total unemployed, plus discouraged workers, plus all other persons marginally attached to the labor force, as a percent of the civilian labor force plus all persons marginally attached to the labor force 10.0 9.3 9.1 9.7 8.9 8.9 8.8 9.1 8.8
U-6 Total unemployed, plus all persons marginally attached to the labor force, plus total employed part time for economic reasons, as a percent of the civilian labor force plus all persons marginally attached to the labor force 15.2 14.6 14.3 14.9 13.8 13.9 13.8 14.3 14.0
NOTE: Persons marginally attached to the labor force are those who currently are neither working nor looking for work but indicate that they want and are available for a job and have looked for work sometime in the past 12 months. Discouraged workers, a subset of the marginally attached, have given a job-market related reason for not currently looking for work. Persons employed part time for economic reasons are those who want and are available for full-time work but have had to settle for a part-time schedule. Updated population controls are introduced annually with the release of January data.
HOUSEHOLD DATA
Table A-16. Persons not in the labor force and multiple jobholders by sex, not seasonally adjusted

[Numbers in thousands]
Category Total Men Women
July
2012
July
2013
July
2012
July
2013
July
2012
July
2013
NOT IN THE LABOR FORCE
Total not in the labor force 86,828 88,560 33,828 34,630 53,000 53,930
Persons who currently want a job 6,837 6,862 3,062 3,113 3,775 3,749
Marginally attached to the labor force(1) 2,529 2,414 1,328 1,260 1,200 1,154
Discouraged workers(2) 852 988 514 572 338 416
Other persons marginally attached to the labor force(3) 1,676 1,426 815 688 862 738
MULTIPLE JOBHOLDERS
Total multiple jobholders(4) 6,741 6,897 3,409 3,568 3,333 3,329
Percent of total employed 4.7 4.8 4.4 4.6 5.0 4.9
Primary job full time, secondary job part time 3,459 3,689 1,939 2,061 1,520 1,627
Primary and secondary jobs both part time 1,871 1,810 670 715 1,201 1,094
Primary and secondary jobs both full time 271 289 191 174 80 115
Hours vary on primary or secondary job 1,065 1,038 567 584 498 454
Footnotes
(1) Data refer to persons who want a job, have searched for work during the prior 12 months, and were available to take a job during the reference week, but had not looked for work in the past 4 weeks.
(2) Includes those who did not actively look for work in the prior 4 weeks for reasons such as thinks no work available, could not find work, lacks schooling or training, employer thinks too young or old, and other types of discrimination.
(3) Includes those who did not actively look for work in the prior 4 weeks for such reasons as school or family responsibilities, ill health, and transportation problems, as well as a number for whom reason for nonparticipation was not determined.
(4) Includes a small number of persons who work part time on their primary job and full time on their secondary job(s), not shown separately.
NOTE: Updated population controls are introduced annually with the release of January data.
ESTABLISHMENT DATA
Table B-1. Employees on nonfarm payrolls by industry sector and selected industry detail

[In thousands]
Industry Not seasonally adjusted Seasonally adjusted
July
2012
May
2013
June
2013(p)
July
2013(p)
July
2012
May
2013
June
2013(p)
July
2013(p)
Change from:
June2013 – July2013(p)
Total nonfarm 133,368 136,383 136,777 135,664 133,762 135,688 135,876 136,038 162
Total private 112,746 114,141 114,975 115,081 111,871 113,829 114,025 114,186 161
Goods-producing 18,785 18,663 18,923 18,988 18,436 18,631 18,639 18,643 4
Mining and logging 868 868 881 889 852 868 871 875 4
Logging 52.6 49.6 51.5 52.0 50.8 51.2 51.1 50.2 -0.9
Mining 815.0 818.4 829.7 837.2 800.7 816.3 819.8 824.7 4.9
Oil and gas extraction 190.2 193.1 194.6 196.4 187.6 193.1 192.6 193.9 1.3
Mining, except oil and gas(1) 229.1 226.3 229.8 229.7 221.8 222.3 223.3 223.2 -0.1
Coal mining 86.8 85.6 86.6 86.6 86.4 85.0 85.8 86.1 0.3
Support activities for mining 395.7 399.0 405.3 411.1 391.3 400.9 403.9 407.6 3.7
Construction 5,888 5,834 5,992 6,054 5,627 5,791 5,799 5,793 -6
Construction of buildings 1,274.9 1,259.1 1,290.3 1,301.0 1,236.0 1,261.1 1,261.7 1,262.1 0.4
Residential building 598.7 585.9 602.2 606.8 576.3 584.3 583.6 583.7 0.1
Nonresidential building 676.2 673.2 688.1 694.2 659.7 676.8 678.1 678.4 0.3
Heavy and civil engineering construction 930.2 910.9 940.5 950.4 872.0 888.6 893.2 891.2 -2.0
Specialty trade contractors 3,682.7 3,663.5 3,761.1 3,802.4 3,519.0 3,641.1 3,643.7 3,640.1 -3.6
Residential specialty trade contractors 1,542.7 1,556.0 1,608.7 1,628.8 1,468.7 1,541.9 1,547.2 1,553.4 6.2
Nonresidential specialty trade contractors 2,140.0 2,107.5 2,152.4 2,173.6 2,050.3 2,099.2 2,096.5 2,086.7 -9.8
Manufacturing 12,029 11,961 12,050 12,045 11,957 11,972 11,969 11,975 6
Durable goods 7,525 7,516 7,565 7,548 7,496 7,512 7,512 7,520 8
Wood products 342.6 346.3 349.8 352.9 335.9 345.6 344.8 346.4 1.6
Nonmetallic mineral products 371.8 371.9 375.6 378.4 362.0 367.9 367.2 368.9 1.7
Primary metals 406.7 397.0 395.6 393.0 406.7 395.6 393.9 392.5 -1.4
Fabricated metal products 1,426.3 1,435.2 1,445.2 1,443.8 1,418.5 1,434.3 1,435.3 1,436.8 1.5
Machinery 1,106.1 1,101.7 1,103.7 1,104.3 1,100.9 1,101.1 1,098.3 1,100.0 1.7
Computer and electronic products(1) 1,101.4 1,081.9 1,089.0 1,086.5 1,097.0 1,083.9 1,084.7 1,081.5 -3.2
Computer and peripheral equipment 160.7 161.1 163.3 163.0 159.7 161.6 162.3 161.8 -0.5
Communications equipment 110.0 107.2 107.3 106.6 110.1 107.3 106.9 106.6 -0.3
Semiconductors and electronic components 387.9 378.3 381.0 380.1 386.2 378.9 379.9 378.2 -1.7
Electronic instruments 402.6 396.0 398.2 397.4 400.9 396.5 396.5 395.7 -0.8
Electrical equipment and appliances 373.0 364.3 364.2 366.0 370.6 365.3 362.7 364.1 1.4
Transportation equipment(1) 1,461.6 1,487.6 1,503.2 1,486.7 1,472.0 1,488.0 1,494.2 1,496.2 2.0
Motor vehicles and parts(2) 774.9 802.3 813.2 807.0 788.1 802.5 808.9 818.0 9.1
Furniture and related products 352.5 353.8 358.9 357.9 349.2 352.7 353.8 354.6 0.8
Miscellaneous durable goods manufacturing 582.9 576.1 579.8 578.2 583.1 577.6 577.1 578.5 1.4
Nondurable goods 4,504 4,445 4,485 4,497 4,461 4,460 4,457 4,455 -2
Food manufacturing 1,498.6 1,454.2 1,477.6 1,490.2 1,473.0 1,471.3 1,470.6 1,465.1 -5.5
Textile mills 118.1 114.3 115.9 115.0 118.0 114.3 114.7 114.9 0.2
Textile product mills 116.8 113.7 115.3 114.1 116.1 113.9 113.8 113.6 -0.2
Apparel 147.2 143.7 143.0 139.6 147.6 142.4 141.5 140.7 -0.8
Paper and paper products 380.7 376.1 379.5 379.4 378.9 377.1 377.1 377.4 0.3
Printing and related support activities 464.6 450.0 450.4 449.1 463.5 450.1 448.8 448.0 -0.8
Petroleum and coal products 114.9 115.3 117.0 117.5 111.9 114.0 114.5 114.8 0.3
Chemicals 786.2 795.3 798.9 801.7 782.8 795.6 795.5 797.2 1.7
Plastics and rubber products 649.7 658.7 660.7 662.1 647.4 657.9 657.1 659.7 2.6
Miscellaneous nondurable goods manufacturing 226.9 223.2 226.8 228.7 222.0 223.2 222.9 223.6 0.7
Private service-providing 93,961 95,478 96,052 96,093 93,435 95,198 95,386 95,543 157
Trade, transportation, and utilities 25,485 25,816 25,966 25,978 25,485 25,873 25,921 25,984 63
Wholesale trade 5,721.2 5,758.4 5,791.2 5,803.9 5,685.7 5,748.2 5,755.2 5,768.9 13.7
Durable goods 2,857.4 2,859.0 2,878.3 2,887.1 2,838.2 2,859.5 2,863.1 2,868.8 5.7
Nondurable goods 1,987.2 2,010.7 2,016.8 2,016.8 1,974.3 1,999.4 2,001.2 2,004.3 3.1
Electronic markets and agents and brokers 876.6 888.7 896.1 900.0 873.2 889.3 890.9 895.8 4.9
Retail trade 14,838.5 15,029.7 15,143.8 15,191.7 14,838.9 15,104.5 15,144.2 15,191.0 46.8
Motor vehicle and parts dealers(1) 1,743.4 1,773.1 1,786.2 1,796.9 1,725.1 1,763.5 1,771.5 1,777.7 6.2
Automobile dealers 1,095.3 1,116.1 1,126.3 1,131.0 1,088.5 1,114.2 1,120.4 1,123.9 3.5
Furniture and home furnishings stores 433.7 445.8 444.7 445.8 440.2 452.8 451.3 452.8 1.5
Electronics and appliance stores 502.2 496.3 496.0 498.7 508.2 505.0 505.4 505.9 0.5
Building material and garden supply stores 1,205.2 1,254.1 1,248.2 1,230.4 1,172.7 1,181.7 1,189.9 1,195.6 5.7
Food and beverage stores 2,880.4 2,906.5 2,938.1 2,946.9 2,858.8 2,908.0 2,915.9 2,924.0 8.1
Health and personal care stores 999.1 1,024.6 1,025.1 1,028.0 1,001.3 1,028.7 1,025.4 1,030.5 5.1
Gasoline stations 852.5 856.1 868.4 874.5 839.5 855.6 856.8 860.0 3.2
Clothing and clothing accessories stores 1,380.8 1,388.2 1,412.6 1,429.5 1,396.6 1,440.3 1,449.4 1,453.7 4.3
Sporting goods, hobby, book, and music stores 571.7 564.2 568.8 569.3 583.6 579.0 580.4 580.3 -0.1
General merchandise stores(1) 3,036.3 3,076.3 3,095.1 3,109.1 3,069.1 3,129.6 3,131.0 3,140.1 9.1
Department stores 1,455.4 1,453.2 1,458.5 1,466.1 1,485.9 1,494.8 1,495.1 1,495.3 0.2
Miscellaneous store retailers 799.6 810.4 822.5 825.4 798.1 813.5 818.9 822.0 3.1
Nonstore retailers 433.6 434.1 438.1 437.2 445.7 446.8 448.3 448.4 0.1
Transportation and warehousing 4,372.4 4,469.3 4,469.2 4,422.1 4,411.5 4,463.0 4,463.7 4,468.3 4.6
Air transportation 464.4 447.5 449.6 448.5 460.0 446.3 445.3 444.1 -1.2
Rail transportation 230.3 231.5 231.5 231.5 229.9 230.7 230.8 231.1 0.3
Water transportation 65.5 62.9 63.7 64.9 63.6 62.7 62.4 62.8 0.4
Truck transportation 1,375.3 1,385.8 1,396.2 1,407.2 1,356.2 1,384.5 1,381.5 1,387.8 6.3
Transit and ground passenger transportation 381.8 486.7 462.4 394.8 442.8 467.8 466.6 458.0 -8.6
Pipeline transportation 44.0 45.3 45.4 45.6 43.7 45.3 45.1 45.3 0.2
Scenic and sightseeing transportation 34.8 28.2 33.6 33.7 26.0 26.1 26.5 25.6 -0.9
Support activities for transportation 577.4 583.8 586.3 589.8 577.6 583.8 586.2 590.3 4.1
Couriers and messengers 516.4 518.2 517.5 517.7 528.5 530.9 530.6 532.9 2.3
Warehousing and storage 682.5 679.4 683.0 688.4 683.2 684.9 688.7 690.4 1.7
Utilities 552.8 558.4 562.2 560.0 549.0 557.2 557.7 556.1 -1.6
Information 2,691 2,706 2,697 2,710 2,684 2,695 2,691 2,700 9
Publishing industries, except Internet 740.9 725.7 727.7 731.3 738.2 729.3 728.3 728.1 -0.2
Motion picture and sound recording industries 384.0 407.4 389.5 394.6 377.2 390.6 383.9 388.0 4.1
Broadcasting, except Internet 284.4 284.0 286.5 284.3 284.8 284.9 286.1 284.8 -1.3
Telecommunications 856.7 854.5 856.6 859.7 859.2 857.1 857.5 861.1 3.6
Data processing, hosting and related services 249.8 253.4 254.5 257.4 250.6 251.7 254.2 257.8 3.6
Other information services 175.3 180.6 182.4 182.2 173.5 181.2 180.8 180.5 -0.3
Financial activities 7,847 7,875 7,941 7,971 7,788 7,880 7,893 7,908 15
Finance and insurance 5,851.0 5,882.6 5,913.6 5,932.5 5,833.9 5,894.4 5,903.3 5,915.3 12.0
Monetary authorities – central bank 17.4 16.7 16.9 17.0 17.2 16.8 16.9 16.8 -0.1
Credit intermediation and related
activities(1)
2,582.8 2,605.6 2,616.0 2,624.0 2,575.9 2,610.8 2,614.0 2,617.6 3.6
Depository credit intermediation(1) 1,742.7 1,731.8 1,737.2 1,740.1 1,734.8 1,734.7 1,733.8 1,733.2 -0.6
Commercial banking 1,320.5 1,302.4 1,304.3 1,306.7 1,315.1 1,305.0 1,302.8 1,302.2 -0.6
Securities, commodity contracts, investments 819.7 827.0 833.4 838.8 816.2 830.9 829.5 835.1 5.6
Insurance carriers and related activities 2,343.5 2,347.3 2,360.6 2,365.0 2,337.7 2,349.5 2,356.2 2,358.9 2.7
Funds, trusts, and other financial vehicles 87.6 86.0 86.7 87.7 86.9 86.4 86.7 86.9 0.2
Real estate and rental and leasing 1,996.3 1,992.5 2,027.0 2,038.5 1,954.4 1,985.3 1,989.6 1,992.8 3.2
Real estate 1,442.4 1,443.9 1,465.9 1,475.1 1,417.8 1,440.9 1,445.0 1,448.0 3.0
Rental and leasing services 529.6 525.7 537.7 540.1 512.5 521.3 521.3 521.7 0.4
Lessors of nonfinancial intangible assets 24.3 22.9 23.4 23.3 24.1 23.1 23.3 23.1 -0.2
Professional and business services 18,053 18,492 18,657 18,691 17,965 18,489 18,550 18,586 36
Professional and technical services(1) 7,881.4 8,051.2 8,087.4 8,121.1 7,904.1 8,104.1 8,118.5 8,139.6 21.1
Legal services 1,135.1 1,125.1 1,134.5 1,138.8 1,123.2 1,126.9 1,124.2 1,127.0 2.8
Accounting and bookkeeping services 839.6 896.7 879.5 874.7 912.6 940.4 942.6 945.1 2.5
Architectural and engineering services 1,341.1 1,352.2 1,368.5 1,372.3 1,322.1 1,351.9 1,355.5 1,352.8 -2.7
Computer systems design and related services 1,633.9 1,683.1 1,690.6 1,704.8 1,627.3 1,686.6 1,694.5 1,698.8 4.3
Management and technical consulting services 1,128.4 1,177.4 1,187.5 1,197.3 1,124.6 1,178.5 1,185.4 1,192.3 6.9
Management of companies and enterprises 2,024.0 2,038.0 2,057.6 2,067.2 2,012.6 2,042.1 2,046.9 2,054.2 7.3
Administrative and waste services 8,147.9 8,402.6 8,512.2 8,502.6 8,048.2 8,342.6 8,384.4 8,392.0 7.6
Administrative and support services(1) 7,764.7 8,023.8 8,126.3 8,113.2 7,674.6 7,964.3 8,003.9 8,012.2 8.3
Employment services(1) 3,149.3 3,331.9 3,381.1 3,358.3 3,166.4 3,345.4 3,367.6 3,367.9 0.3
Temporary help services 2,508.1 2,664.8 2,703.9 2,679.0 2,529.6 2,675.4 2,691.6 2,699.3 7.7
Business support services 813.9 838.5 839.1 843.2 829.4 848.3 851.9 855.4 3.5
Services to buildings and dwellings 1,938.9 1,949.4 1,993.4 2,003.9 1,825.7 1,871.4 1,882.3 1,889.2 6.9
Waste management and remediation services 383.2 378.8 385.9 389.4 373.6 378.3 380.5 379.8 -0.7
Education and health services 19,991 20,714 20,460 20,330 20,331 20,646 20,662 20,675 13
Educational services 3,058.4 3,411.3 3,163.4 3,074.8 3,358.0 3,369.5 3,366.9 3,371.9 5.0
Health care and social assistance 16,933.0 17,302.6 17,296.1 17,255.2 16,973.3 17,276.6 17,295.0 17,303.3 8.3
Health care(3) 14,328.2 14,541.2 14,579.1 14,580.6 14,303.5 14,546.5 14,561.3 14,563.8 2.5
Ambulatory health care services(1) 6,319.7 6,502.3 6,521.1 6,517.0 6,319.2 6,500.7 6,513.4 6,520.0 6.6
Offices of physicians 2,393.6 2,427.7 2,433.7 2,432.4 2,393.7 2,433.1 2,434.5 2,433.8 -0.7
Outpatient care centers 653.7 686.7 689.1 690.9 654.4 685.4 688.5 691.3 2.8
Home health care services 1,195.5 1,277.5 1,282.5 1,281.1 1,197.7 1,274.2 1,280.4 1,284.3 3.9
Hospitals 4,801.9 4,822.3 4,831.4 4,835.1 4,788.7 4,829.1 4,829.5 4,825.1 -4.4
Nursing and residential care facilities(1) 3,206.6 3,216.6 3,226.6 3,228.5 3,195.6 3,216.7 3,218.4 3,218.7 0.3
Nursing care facilities 1,670.4 1,660.6 1,663.8 1,660.9 1,665.5 1,660.3 1,659.6 1,657.2 -2.4
Social assistance(1) 2,604.8 2,761.4 2,717.0 2,674.6 2,669.8 2,730.1 2,733.7 2,739.5 5.8
Child day care services 790.0 880.6 830.0 780.2 855.5 852.3 850.6 847.4 -3.2
Leisure and hospitality 14,387 14,368 14,782 14,864 13,743 14,129 14,186 14,209 23
Arts, entertainment, and recreation 2,267.6 2,095.7 2,301.1 2,343.2 1,960.3 2,025.1 2,043.1 2,032.9 -10.2
Performing arts and spectator sports 426.0 447.6 449.2 447.8 399.5 425.9 426.0 421.9 -4.1
Museums, historical sites, and similar institutions 148.4 141.8 147.3 147.7 133.5 136.5 135.3 134.0 -1.3
Amusements, gambling, and recreation 1,693.2 1,506.3 1,704.6 1,747.7 1,427.3 1,462.7 1,481.8 1,477.0 -4.8
Accommodation and food services 12,119.3 12,272.3 12,480.8 12,521.2 11,782.3 12,103.9 12,142.5 12,175.6 33.1
Accommodation 1,965.7 1,835.8 1,932.7 1,979.8 1,815.7 1,829.9 1,833.5 1,828.2 -5.3
Food services and drinking places 10,153.6 10,436.5 10,548.1 10,541.4 9,966.6 10,274.0 10,309.0 10,347.4 38.4
Other services 5,507 5,507 5,549 5,549 5,439 5,486 5,483 5,481 -2
Repair and maintenance 1,199.6 1,207.1 1,203.6 1,201.7 1,192.8 1,201.3 1,195.7 1,195.0 -0.7
Personal and laundry services 1,322.7 1,346.7 1,350.7 1,343.5 1,313.2 1,332.4 1,334.1 1,334.5 0.4
Membership associations and organizations 2,985.1 2,953.2 2,994.4 3,003.6 2,933.1 2,952.2 2,952.7 2,951.1 -1.6
Government 20,622 22,242 21,802 20,583 21,891 21,859 21,851 21,852 1
Federal 2,826.0 2,757.0 2,761.0 2,761.0 2,805.0 2,758.0 2,748.0 2,746.0 -2.0
Federal, except U.S. Postal Service 2,213.2 2,168.2 2,171.9 2,170.0 2,194.6 2,166.1 2,156.4 2,157.2 0.8
U.S. Postal Service 612.9 589.0 589.1 591.0 610.0 592.0 591.6 588.6 -3.0
State government 4,740.0 5,070.0 4,802.0 4,716.0 5,042.0 5,037.0 5,028.0 5,025.0 -3.0
State government education 2,058.1 2,408.7 2,126.0 2,046.4 2,377.8 2,383.1 2,376.2 2,372.8 -3.4
State government, excluding education 2,682.3 2,661.7 2,676.1 2,669.6 2,664.4 2,653.7 2,651.9 2,652.3 0.4
Local government 13,056.0 14,415.0 14,239.0 13,106.0 14,044.0 14,064.0 14,075.0 14,081.0 6.0
Local government education 6,550.7 8,139.0 7,766.0 6,573.1 7,765.7 7,776.0 7,774.1 7,784.2 10.1
Local government, excluding education 6,505.3 6,275.5 6,473.3 6,533.1 6,278.3 6,287.9 6,301.0 6,297.0 -4.0
Footnotes
(1) Includes other industries, not shown separately.
(2) Includes motor vehicles, motor vehicle bodies and trailers, and motor vehicle parts.
(3) Includes ambulatory health care services, hospitals, and nursing and residential care facilities.
(p) Preliminary
ESTABLISHMENT DATA
Table B-2. Average weekly hours and overtime of all employees on private nonfarm payrolls by industry sector, seasonally adjusted
Industry July
2012
May
2013
June
2013(p)
July
2013(p)
AVERAGE WEEKLY HOURS
Total private 34.4 34.5 34.5 34.4
Goods-producing 40.2 40.4 40.4 40.2
Mining and logging 44.1 43.8 44.2 43.9
Construction 38.5 39.1 39.0 38.7
Manufacturing 40.7 40.7 40.8 40.6
Durable goods 41.0 41.1 41.1 40.9
Nondurable goods 40.2 40.2 40.3 40.1
Private service-providing 33.3 33.3 33.3 33.2
Trade, transportation, and utilities 34.5 34.6 34.5 34.5
Wholesale trade 38.6 38.7 38.8 38.7
Retail trade 31.5 31.5 31.4 31.4
Transportation and warehousing 38.3 38.6 38.5 38.5
Utilities 42.0 42.3 42.5 41.9
Information 36.5 36.7 36.9 36.7
Financial activities 37.1 37.3 37.3 37.2
Professional and business services 36.0 36.1 36.0 35.9
Education and health services 32.9 32.8 32.9 32.8
Leisure and hospitality 26.0 26.0 26.0 25.9
Other services 31.7 31.7 31.6 31.7
AVERAGE OVERTIME HOURS
Manufacturing 3.2 3.3 3.4 3.2
Durable goods 3.2 3.3 3.4 3.2
Nondurable goods 3.3 3.4 3.4 3.3
Footnotes
(p) Preliminary
ESTABLISHMENT DATA
Table B-3. Average hourly and weekly earnings of all employees on private nonfarm payrolls by industry sector, seasonally adjusted
Industry Average hourly earnings Average weekly earnings
July
2012
May
2013
June
2013(p)
July
2013(p)
July
2012
May
2013
June
2013(p)
July
2013(p)
Total private $23.54 $23.90 $24.00 $23.98 $809.78 $824.55 $828.00 $824.91
Goods-producing 24.72 25.08 25.21 25.18 993.74 1,013.23 1,018.48 1,012.24
Mining and logging 28.73 29.36 29.71 29.32 1,266.99 1,285.97 1,313.18 1,287.15
Construction 25.78 26.10 26.18 26.21 992.53 1,020.51 1,021.02 1,014.33
Manufacturing 23.94 24.28 24.41 24.37 974.36 988.20 995.93 989.42
Durable goods 25.32 25.70 25.83 25.80 1,038.12 1,056.27 1,061.61 1,055.22
Nondurable goods 21.57 21.83 21.95 21.92 867.11 877.57 884.59 878.99
Private service-providing 23.25 23.62 23.71 23.69 774.23 786.55 789.54 786.51
Trade, transportation, and utilities 20.53 20.89 20.97 20.95 708.29 722.79 723.47 722.78
Wholesale trade 26.84 27.62 27.77 27.77 1,036.02 1,068.89 1,077.48 1,074.70
Retail trade 16.33 16.56 16.61 16.58 514.40 521.64 521.55 520.61
Transportation and warehousing 22.02 22.18 22.24 22.31 843.37 856.15 856.24 858.94
Utilities 34.59 35.22 35.12 35.09 1,452.78 1,489.81 1,492.60 1,470.27
Information 31.82 32.58 32.85 32.68 1,161.43 1,195.69 1,212.17 1,199.36
Financial activities 29.22 30.08 30.27 30.26 1,084.06 1,121.98 1,129.07 1,125.67
Professional and business services 28.09 28.43 28.49 28.47 1,011.24 1,026.32 1,025.64 1,022.07
Education and health services 24.22 24.52 24.63 24.61 796.84 804.26 810.33 807.21
Leisure and hospitality 13.40 13.45 13.46 13.48 348.40 349.70 349.96 349.13
Other services 20.83 21.21 21.26 21.28 660.31 672.36 671.82 674.58
Footnotes
(p) Preliminary
ESTABLISHMENT DATA
Table B-4. Indexes of aggregate weekly hours and payrolls for all employees on private nonfarm payrolls by industry sector, seasonally adjusted

[2007=100]
Industry Index of aggregate weekly hours(1) Index of aggregate weekly payrolls(2)
July
2012
May
2013
June
2013(p)
July
2013(p)
Percent change from:
June
2013 – July
2013(p)
July
2012
May
2013
June
2013(p)
July
2013(p)
Percent change from:
June
2013 – July
2013(p)
Total private 96.4 98.4 98.5 98.4 -0.1 108.2 112.1 112.8 112.5 -0.3
Goods-producing 84.4 85.8 85.8 85.4 -0.5 94.3 97.2 97.8 97.2 -0.6
Mining and logging 118.1 119.5 121.0 120.7 -0.2 136.2 140.8 144.3 142.1 -1.5
Construction 74.7 78.1 78.0 77.3 -0.9 83.7 88.5 88.7 88.0 -0.8
Manufacturing 87.6 87.7 87.9 87.5 -0.5 97.5 99.0 99.7 99.1 -0.6
Durable goods 86.5 86.9 86.9 86.6 -0.3 97.3 99.2 99.7 99.2 -0.5
Nondurable goods 89.5 89.5 89.6 89.2 -0.4 98.0 99.1 99.8 99.2 -0.6
Private service-providing 99.9 101.8 102.0 101.8 -0.2 112.5 116.4 117.1 116.8 -0.3
Trade, transportation, and utilities 95.6 97.4 97.3 97.5 0.2 105.7 109.5 109.8 109.9 0.1
Wholesale trade 95.8 97.1 97.4 97.4 0.0 107.3 111.9 112.9 112.9 0.0
Retail trade 94.9 96.6 96.6 96.9 0.3 102.5 105.8 106.1 106.2 0.1
Transportation and warehousing 96.7 98.6 98.4 98.5 0.1 108.1 111.0 111.0 111.5 0.5
Utilities 99.8 102.0 102.5 100.8 -1.7 114.0 118.7 119.0 116.9 -1.8
Information 89.5 90.3 90.7 90.5 -0.2 101.4 104.8 106.1 105.3 -0.8
Financial activities 94.6 96.3 96.4 96.3 -0.1 107.9 112.9 113.8 113.7 -0.1
Professional and business services 101.7 105.0 105.0 104.9 -0.1 115.8 120.9 121.2 121.0 -0.2
Education and health services 108.9 110.2 110.7 110.4 -0.3 123.6 126.6 127.7 127.3 -0.3
Leisure and hospitality 102.0 104.8 105.2 105.0 -0.2 110.2 113.7 114.3 114.2 -0.1
Other services 95.5 96.4 96.0 96.3 0.3 112.9 116.0 115.8 116.3 0.4
Footnotes
(1) The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding 2007 annual average aggregate hours. Aggregate hours estimates are the product of estimates of average weekly hours and employment.
(2) The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding 2007 annual average aggregate weekly payrolls. Aggregate payrolls estimates are the product of estimates of average hourly earnings, average weekly hours, and employment.
(p) Preliminary
ESTABLISHMENT DATA
Table B-5. Employment of women on nonfarm payrolls by industry sector, seasonally adjusted
Industry Women employees (in thousands) Percent of all employees
July
2012
May
2013
June
2013(p)
July
2013(p)
July
2012
May
2013
June
2013(p)
July
2013(p)
Total nonfarm 66,017 66,981 67,083 67,200 49.4 49.4 49.4 49.4
Total private 53,559 54,513 54,628 54,744 47.9 47.9 47.9 47.9
Goods-producing 4,103 4,107 4,104 4,101 22.3 22.0 22.0 22.0
Mining and logging 114 118 116 116 13.4 13.6 13.3 13.3
Construction 726 741 741 740 12.9 12.8 12.8 12.8
Manufacturing 3,263 3,248 3,247 3,245 27.3 27.1 27.1 27.1
Durable goods 1,735 1,734 1,734 1,735 23.1 23.1 23.1 23.1
Nondurable goods 1,528 1,514 1,513 1,510 34.3 33.9 33.9 33.9
Private service-providing 49,456 50,406 50,524 50,643 52.9 52.9 53.0 53.0
Trade, transportation, and utilities 10,281 10,507 10,535 10,569 40.3 40.6 40.6 40.7
Wholesale trade 1,708.0 1,704.9 1,705.5 1,709.1 30.0 29.7 29.6 29.6
Retail trade 7,412.2 7,615.7 7,641.6 7,671.1 50.0 50.4 50.5 50.5
Transportation and warehousing 1,024.1 1,048.1 1,050.0 1,049.7 23.2 23.5 23.5 23.5
Utilities 137.0 138.3 138.0 138.7 25.0 24.8 24.7 24.9
Information 1,079 1,071 1,069 1,075 40.2 39.7 39.7 39.8
Financial activities 4,518 4,543 4,542 4,548 58.0 57.7 57.5 57.5
Professional and business services 7,950 8,224 8,266 8,310 44.3 44.5 44.6 44.7
Education and health services 15,597 15,837 15,853 15,860 76.7 76.7 76.7 76.7
Leisure and hospitality 7,175 7,344 7,376 7,392 52.2 52.0 52.0 52.0
Other services 2,856 2,880 2,883 2,889 52.5 52.5 52.6 52.7
Government 12,458 12,468 12,455 12,456 56.9 57.0 57.0 57.0
Footnotes
(p) Preliminary
ESTABLISHMENT DATA
Table B-6. Employment of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted(1)

[In thousands]
Industry July
2012
May
2013
June
2013(p)
July
2013(p)
Total private 92,421 93,995 94,158 94,309
Goods-producing 13,295 13,395 13,385 13,393
Mining and logging 643 639 640 645
Construction 4,217 4,375 4,377 4,371
Manufacturing 8,435 8,381 8,368 8,377
Durable goods 5,182 5,155 5,148 5,162
Nondurable goods 3,253 3,226 3,220 3,215
Private service-providing 79,126 80,600 80,773 80,916
Trade, transportation, and utilities 21,620 21,890 21,933 21,992
Wholesale trade 4,578.1 4,631.6 4,638.8 4,651.7
Retail trade 12,784.5 12,954.3 12,990.5 13,033.5
Transportation and warehousing 3,819.8 3,854.7 3,853.5 3,857.3
Utilities 437.4 449.8 450.0 449.7
Information 2,172 2,187 2,181 2,189
Financial activities 5,995 6,063 6,075 6,090
Professional and business services 14,845 15,301 15,351 15,390
Education and health services 17,833 18,099 18,117 18,129
Leisure and hospitality 12,114 12,485 12,541 12,556
Other services 4,547 4,575 4,575 4,570
Footnotes
(1) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. These groups account for approximately four-fifths of the total employment on private nonfarm payrolls.
(p) Preliminary
ESTABLISHMENT DATA
Table B-7. Average weekly hours and overtime of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted(1)
Industry July
2012
May
2013
June
2013(p)
July
2013(p)
AVERAGE WEEKLY HOURS
Total private 33.7 33.7 33.7 33.6
Goods-producing 41.1 41.3 41.3 41.1
Mining and logging 46.8 45.9 45.7 45.7
Construction 39.1 39.7 39.5 39.4
Manufacturing 41.7 41.8 41.8 41.7
Durable goods 42.1 42.1 42.2 42.0
Nondurable goods 41.0 41.2 41.3 41.3
Private service-providing 32.4 32.5 32.4 32.3
Trade, transportation, and utilities 33.7 33.8 33.6 33.5
Wholesale trade 38.6 38.8 38.7 38.6
Retail trade 30.4 30.3 30.1 30.0
Transportation and warehousing 37.9 38.5 38.3 38.3
Utilities 41.3 41.9 41.9 40.9
Information 35.8 35.7 35.9 35.7
Financial activities 36.6 36.7 36.8 36.5
Professional and business services 35.3 35.3 35.2 35.2
Education and health services 32.2 32.2 32.3 32.1
Leisure and hospitality 24.9 25.0 25.0 24.9
Other services 30.7 30.7 30.8 30.6
AVERAGE OVERTIME HOURS
Manufacturing 4.2 4.3 4.3 4.2
Durable goods 4.3 4.3 4.3 4.3
Nondurable goods 4.0 4.2 4.3 4.1
Footnotes
(1) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. These groups account for approximately four-fifths of the total employment on private nonfarm payrolls.
(p) Preliminary
ESTABLISHMENT DATA
Table B-8. Average hourly and weekly earnings of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted(1)
Industry Average hourly earnings Average weekly earnings
July
2012
May
2013
June
2013(p)
July
2013(p)
July
2012
May
2013
June
2013(p)
July
2013(p)
Total private $19.77 $20.08 $20.14 $20.14 $666.25 $676.70 $678.72 $676.70
Goods-producing 20.97 21.26 21.27 21.25 861.87 878.04 878.45 873.38
Mining and logging 25.99 27.13 27.07 26.80 1,216.33 1,245.27 1,237.10 1,224.76
Construction 24.02 24.28 24.29 24.28 939.18 963.92 959.46 956.63
Manufacturing 19.11 19.27 19.29 19.28 796.89 805.49 806.32 803.98
Durable goods 20.19 20.32 20.37 20.40 850.00 855.47 859.61 856.80
Nondurable goods 17.34 17.55 17.53 17.47 710.94 723.06 723.99 721.51
Private service-providing 19.52 19.83 19.90 19.91 632.45 644.48 644.76 643.09
Trade, transportation, and utilities 17.46 17.62 17.69 17.67 588.40 595.56 594.38 591.95
Wholesale trade 22.22 22.59 22.64 22.64 857.69 876.49 876.17 873.90
Retail trade 13.83 13.89 13.97 13.97 420.43 420.87 420.50 419.10
Transportation and warehousing 19.58 19.62 19.67 19.65 742.08 755.37 753.36 752.60
Utilities 32.01 31.97 32.10 32.10 1,322.01 1,339.54 1,344.99 1,312.89
Information 27.04 27.61 27.95 27.61 968.03 985.68 1,003.41 985.68
Financial activities 22.82 23.88 23.98 24.04 835.21 876.40 882.46 877.46
Professional and business services 23.21 23.59 23.66 23.67 819.31 832.73 832.83 833.18
Education and health services 21.08 21.38 21.45 21.47 678.78 688.44 692.84 689.19
Leisure and hospitality 11.64 11.74 11.75 11.76 289.84 293.50 293.75 292.82
Other services 17.60 17.83 17.87 17.90 540.32 547.38 550.40 547.74
Footnotes
(1) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. These groups account for approximately four-fifths of the total employment on private nonfarm payrolls.
(p) Preliminary
ESTABLISHMENT DATA
Table B-9. Indexes of aggregate weekly hours and payrolls for production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted(1)

[2002=100]
Industry Index of aggregate weekly hours(2) Index of aggregate weekly payrolls(3)
July
2012
May
2013
June
2013(p)
July
2013(p)
Percent change from:
June
2013 – July
2013(p)
July
2012
May
2013
June
2013(p)
July
2013(p)
Percent change from:
June
2013 – July
2013(p)
Total private 104.0 105.7 105.9 105.8 -0.1 137.2 141.8 142.4 142.2 -0.1
Goods-producing 83.5 84.5 84.5 84.1 -0.5 107.2 110.1 110.0 109.5 -0.5
Mining and logging 159.9 155.9 155.4 156.6 0.8 241.7 245.9 244.7 244.2 -0.2
Construction 82.6 87.0 86.6 86.2 -0.5 107.1 114.0 113.5 113.1 -0.4
Manufacturing 80.7 80.4 80.3 80.2 -0.1 100.9 101.3 101.3 101.1 -0.2
Durable goods 82.0 81.5 81.6 81.5 -0.1 103.3 103.4 103.8 103.8 0.0
Nondurable goods 78.6 78.3 78.4 78.2 -0.3 96.3 97.1 97.1 96.6 -0.5
Private service-providing 109.4 111.8 111.7 111.6 -0.1 146.4 151.9 152.3 152.2 -0.1
Trade, transportation, and utilities 101.6 103.1 102.7 102.7 0.0 126.5 129.6 129.6 129.5 -0.1
Wholesale trade 104.1 105.8 105.7 105.7 0.0 136.2 140.8 141.0 141.0 0.0
Retail trade 98.4 99.4 99.0 99.0 0.0 116.6 118.3 118.5 118.5 0.0
Transportation and warehousing 109.0 111.7 111.1 111.2 0.1 135.4 139.0 138.6 138.6 0.0
Utilities 92.4 96.4 96.4 94.1 -2.4 123.4 128.6 129.2 126.0 -2.5
Information 88.7 89.1 89.4 89.2 -0.2 118.8 121.8 123.7 121.9 -1.5
Financial activities 103.3 104.7 105.2 104.6 -0.6 145.0 153.9 155.3 154.8 -0.3
Professional and business services 117.4 121.1 121.1 121.4 0.2 162.2 169.9 170.5 171.0 0.3
Education and health services 123.9 125.7 126.2 125.5 -0.6 171.7 176.7 178.0 177.2 -0.4
Leisure and hospitality 110.5 114.3 114.8 114.5 -0.3 146.1 152.4 153.2 152.9 -0.2
Other services 97.9 98.5 98.8 98.1 -0.7 125.5 128.0 128.7 127.9 -0.6
Footnotes
(1) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. These groups account for approximately four-fifths of the total employment on private nonfarm payrolls.
(2) The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding 2002 annual average aggregate hours. Aggregate hours estimates are the product of estimates of average weekly hours and employment.
(3) The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding 2002 annual average aggregate weekly payrolls. Aggregate payrolls estimates are the product of estimates of average hourly earnings, average weekly hours, and employment.
(p) Preliminary

 

Series Id:           LNS14000006
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate - Black or African American
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over
Race:                Black or African American
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U-6 Total Unemployment Rate Jumps Up .5% To 14.3% With Over 22.2 Million Searching For Full-Time Job! — 300,000 New Jobs Needed To Reduce Unemployment Rate By .1% Only 195,000 Jobs Created in June, 2013 — U-3 Official Unemployment Remains at 7.6% With 11,777,000 Unemployed Americans! –Worse Recovery Since Great Depression Continues — Videos

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Unemployment Breaking News: Economix Blog: For the Employment Rate, an Uptick

US Job Gains Again Surpass Outlook in June

US Adds 195K Jobs as Unemployment Rate Sticks

Jobs Report Looks Good as 195,000 More Get to Work

Employment Situation Summary Table A. Household data, seasonally adjusted

HOUSEHOLD DATA
Summary table A. Household data, seasonally adjusted

[Numbers in thousands]
Category June
2012
Apr.
2013
May
2013
June
2013
Change from:
May
2013-
June
2013
Employment status
Civilian noninstitutional population 243,155 245,175 245,363 245,552 189
Civilian labor force 155,149 155,238 155,658 155,835 177
Participation rate 63.8 63.3 63.4 63.5 0.1
Employed 142,448 143,579 143,898 144,058 160
Employment-population ratio 58.6 58.6 58.6 58.7 0.1
Unemployed 12,701 11,659 11,760 11,777 17
Unemployment rate 8.2 7.5 7.6 7.6 0.0
Not in labor force 88,006 89,936 89,705 89,717 12
Unemployment rates
Total, 16 years and over 8.2 7.5 7.6 7.6 0.0
Adult men (20 years and over) 7.7 7.1 7.2 7.0 -0.2
Adult women (20 years and over) 7.4 6.7 6.5 6.8 0.3
Teenagers (16 to 19 years) 23.7 24.1 24.5 24.0 -0.5
White 7.3 6.7 6.7 6.6 -0.1
Black or African American 14.4 13.2 13.5 13.7 0.2
Asian (not seasonally adjusted) 6.3 5.1 4.3 5.0 -
Hispanic or Latino ethnicity 11.0 9.0 9.1 9.1 0.0
Total, 25 years and over 6.9 6.1 6.1 6.2 0.1
Less than a high school diploma 12.5 11.6 11.1 10.7 -0.4
High school graduates, no college 8.5 7.4 7.4 7.6 0.2
Some college or associate degree 7.3 6.4 6.5 6.4 -0.1
Bachelor’s degree and higher 4.1 3.9 3.8 3.9 0.1
Reason for unemployment
Job losers and persons who completed temporary jobs 7,121 6,410 6,147 6,119 -28
Job leavers 936 864 944 1,030 86
Reentrants 3,243 3,151 3,333 3,291 -42
New entrants 1,316 1,280 1,268 1,259 -9
Duration of unemployment
Less than 5 weeks 2,825 2,474 2,706 2,692 -14
5 to 14 weeks 2,826 2,848 2,669 2,864 195
15 to 26 weeks 1,813 1,967 1,950 1,896 -54
27 weeks and over 5,336 4,353 4,357 4,328 -29
Employed persons at work part time
Part time for economic reasons 8,210 7,916 7,904 8,226 322
Slack work or business conditions 5,471 5,129 4,841 5,193 352
Could only find part-time work 2,514 2,527 2,721 2,652 -69
Part time for noneconomic reasons 18,825 18,908 18,934 19,044 110
Persons not in the labor force (not seasonally adjusted)
Marginally attached to the labor force 2,483 2,347 2,164 2,582 -
Discouraged workers 821 835 780 1,027 -
- Over-the-month changes are not displayed for not seasonally adjusted data.
NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population
 

Employment Situation Summary Table B. Establishment data, seasonally adjusted

ESTABLISHMENT DATA Summary table B. Establishment data, seasonally adjusted
Category June 2012 Apr. 2013 May 2013(p) June 2013(p)
EMPLOYMENT BY SELECTED INDUSTRY (Over-the-month change, in thousands)
Total nonfarm 87 199 195 195
Total private 78 188 207 202
Goods-producing 14 -17 0 8
Mining and logging -2 -3 0 1
Construction 7 -7 7 13
Manufacturing 9 -7 -7 -6
Durable goods(1) 9 -1 0 -3
Motor vehicles and parts 5.8 -0.4 4.8 5.1
Nondurable goods 0 -6 -7 -3
Private service-providing(1) 64 205 207 194
Wholesale trade 8.9 3.8 8.3 11.3
Retail trade -3.1 22.4 26.9 37.1
Transportation and warehousing -2.5 6.5 -6.8 -5.1
Information -6 -9 1 -5
Financial activities 6 14 6 17
Professional and business services(1) 35 69 65 53
Temporary help services 20.5 20.8 23.6 9.5
Education and health services(1) 6 36 23 13
Health care and social assistance 11.7 37.8 12.7 23.5
Leisure and hospitality 14 60 69 75
Other services 5 1 13 -4
Government 9 11 -12 -7
WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES(2) AS A PERCENT OF ALL EMPLOYEES
Total nonfarm women employees 49.4 49.4 49.4 49.4
Total private women employees 47.9 47.9 47.9 47.9
Total private production and nonsupervisory employees 82.6 82.6 82.6 82.6
HOURS AND EARNINGS ALL EMPLOYEES
Total private
Average weekly hours 34.4 34.5 34.5 34.5
Average hourly earnings $23.50 $23.89 $23.91 $24.01
Average weekly earnings $808.40 $824.21 $824.90 $828.35
Index of aggregate weekly hours (2007=100)(3) 96.2 98.2 98.4 98.6
Over-the-month percent change 0.0 -0.1 0.2 0.2
Index of aggregate weekly payrolls (2007=100)(4) 107.9 111.9 112.2 112.9
Over-the-month percent change 0.4 0.2 0.3 0.6
HOURS AND EARNINGS PRODUCTION AND NONSUPERVISORY EMPLOYEES
Total private
Average weekly hours 33.7 33.7 33.7 33.7
Average hourly earnings $19.75 $20.07 $20.09 $20.14
Average weekly earnings $665.58 $676.36 $677.03 $678.72
Index of aggregate weekly hours (2002=100)(3) 103.8 105.5 105.7 105.9
Over-the-month percent change 0.1 -0.2 0.2 0.2
Index of aggregate weekly payrolls (2002=100)(4) 136.9 141.5 141.9 142.5
Over-the-month percent change 0.4 0.1 0.3 0.4
DIFFUSION INDEX(5) (Over 1-month span)
Total private (266 industries) 57.3 57.7 61.8 58.8
Manufacturing (81 industries) 50.6 44.4 48.1 46.3
Footnotes (1) Includes other industries, not shown separately. (2) Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. (3) The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding annual average aggregate hours. (4) The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding annual average aggregate weekly payrolls. (5) Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal balance between industries with increasing and decreasing employment. (p) Preliminary

Data extracted on: July 5, 2013 (5:45:01 PM)

Labor Force Statistics from the Current Population Survey

Employment Level

144,058,000

Series Id: LNS12000000 Seasonally Adjusted

Series title: (Seas) Employment Level

Labor force status: Employed

Type of data: Number in thousands

Age: 16 years and over

employment_level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 136559(1) 136598 136701 137270 136630 136940 136531 136662 136893 137088 137322 137614
2001 137778 137612 137783 137299 137092 136873 137071 136241 136846 136392 136238 136047
2002 135701 136438 136177 136126 136539 136415 136413 136705 137302 137008 136521 136426
2003 137417(1) 137482 137434 137633 137544 137790 137474 137549 137609 137984 138424 138411
2004 138472(1) 138542 138453 138680 138852 139174 139556 139573 139487 139732 140231 140125
2005 140245(1) 140385 140654 141254 141609 141714 142026 142434 142401 142548 142499 142752
2006 143150(1) 143457 143741 143761 144089 144353 144202 144625 144815 145314 145534 145970
2007 146028(1) 146057 146320 145586 145903 146063 145905 145682 146244 145946 146595 146273
2008 146378(1) 146156 146086 146132 145908 145737 145532 145203 145076 144802 144100 143369
2009 142153(1) 141644 140721 140652 140250 140005 139898 139481 138810 138421 138665 138025
2010 138439(1) 138624 138767 139296 139255 139148 139167 139405 139388 139097 139046 139295
2011 139253(1) 139471 139643 139606 139681 139405 139509 139870 140164 140314 140771 140896
2012 141608(1) 142019 142020 141934 142302 142448 142250 142164 142974 143328 143277 143305
2013 143322(1) 143492 143286 143579 143898 144058
1 : Data affected by changes in population controls.

Civilian Labor Force Level

155,835,000

Series Id: LNS11000000 Seasonally Adjusted

Series title: (Seas) Civilian Labor Force Level

Labor force status: Civilian labor force

Type of data: Number in thousands

Age: 16 years and over

civilian_labor_force

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 142267(1) 142456 142434 142751 142388 142591 142278 142514 142518 142622 142962 143248
2001 143800 143701 143924 143569 143318 143357 143654 143284 143989 144086 144240 144305
2002 143883 144653 144481 144725 144938 144808 144803 145009 145552 145314 145041 145066
2003 145937(1) 146100 146022 146474 146500 147056 146485 146445 146530 146716 147000 146729
2004 146842(1) 146709 146944 146850 147065 147460 147692 147564 147415 147793 148162 148059
2005 148029(1) 148364 148391 148926 149261 149238 149432 149779 149954 150001 150065 150030
2006 150214(1) 150641 150813 150881 151069 151354 151377 151716 151662 152041 152406 152732
2007 153144(1) 152983 153051 152435 152670 153041 153054 152749 153414 153183 153835 153918
2008 154063(1) 153653 153908 153769 154303 154313 154469 154641 154570 154876 154639 154655
2009 154232(1) 154526 154142 154479 154742 154710 154505 154300 153815 153804 153887 153120
2010 153455(1) 153702 153960 154577 154110 153623 153709 154078 153966 153681 154140 153649
2011 153244(1) 153269 153358 153478 153552 153369 153325 153707 154074 154010 154096 153945
2012 154356(1) 154825 154707 154451 154998 155149 154995 154647 155056 155576 155319 155511
2013 155654(1) 155524 155028 155238 155658 155835
1 : Data affected by changes in population controls.

Labor Force Participation Rate

63.5%

Series Id: LNS11300000 Seasonally Adjusted

Series title: (Seas) Labor Force Participation Rate

Labor force status: Civilian labor force participation rate

Type of data: Percent or rate

Age: 16 years and over

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 67.3 67.3 67.3 67.3 67.1 67.1 66.9 66.9 66.9 66.8 66.9 67.0
2001 67.2 67.1 67.2 66.9 66.7 66.7 66.8 66.5 66.8 66.7 66.7 66.7
2002 66.5 66.8 66.6 66.7 66.7 66.6 66.5 66.6 66.7 66.6 66.4 66.3
2003 66.4 66.4 66.3 66.4 66.4 66.5 66.2 66.1 66.1 66.1 66.1 65.9
2004 66.1 66.0 66.0 65.9 66.0 66.1 66.1 66.0 65.8 65.9 66.0 65.9
2005 65.8 65.9 65.9 66.1 66.1 66.1 66.1 66.2 66.1 66.1 66.0 66.0
2006 66.0 66.1 66.2 66.1 66.1 66.2 66.1 66.2 66.1 66.2 66.3 66.4
2007 66.4 66.3 66.2 65.9 66.0 66.0 66.0 65.8 66.0 65.8 66.0 66.0
2008 66.2 66.0 66.1 65.9 66.1 66.1 66.1 66.1 66.0 66.0 65.9 65.8
2009 65.7 65.8 65.6 65.7 65.7 65.7 65.5 65.4 65.1 65.0 65.0 64.6
2010 64.8 64.9 64.9 65.1 64.9 64.6 64.6 64.7 64.6 64.4 64.6 64.3
2011 64.2 64.2 64.2 64.2 64.2 64.0 64.0 64.1 64.2 64.1 64.1 64.0
2012 63.7 63.9 63.8 63.6 63.8 63.8 63.7 63.5 63.6 63.8 63.6 63.6
2013 63.6 63.5 63.3 63.3 63.4 63.5

labor_force_participation_rate

Unemployment Level

11,777,000

Series Id: LNS13000000 Seasonally Adjusted

Series title: (Seas) Unemployment Level

Labor force status: Unemployed

Type of data: Number in thousands

Age: 16 years and over

 unemployment_level

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 5708 5858 5733 5481 5758 5651 5747 5853 5625 5534 5639 5634
2001 6023 6089 6141 6271 6226 6484 6583 7042 7142 7694 8003 8258
2002 8182 8215 8304 8599 8399 8393 8390 8304 8251 8307 8520 8640
2003 8520 8618 8588 8842 8957 9266 9011 8896 8921 8732 8576 8317
2004 8370 8167 8491 8170 8212 8286 8136 7990 7927 8061 7932 7934
2005 7784 7980 7737 7672 7651 7524 7406 7345 7553 7453 7566 7279
2006 7064 7184 7072 7120 6980 7001 7175 7091 6847 6727 6872 6762
2007 7116 6927 6731 6850 6766 6979 7149 7067 7170 7237 7240 7645
2008 7685 7497 7822 7637 8395 8575 8937 9438 9494 10074 10538 11286
2009 12079 12881 13421 13826 14492 14705 14607 14819 15005 15382 15223 15095
2010 15016 15078 15192 15281 14856 14475 14542 14673 14577 14584 15094 14354
2011 13992 13798 13716 13872 13871 13964 13817 13837 13910 13696 13325 13049
2012 12748 12806 12686 12518 12695 12701 12745 12483 12082 12248 12042 12206
2013 12332 12032 11742 11659 11760

11777

Unemployment Rate U-3

7.6%

Series Id: LNS14000000 Seasonally Adjusted

Series title: (Seas) Unemployment Rate

Labor force status: Unemployment rate

Type of data: Percent or rate

Age: 16 years and over

unemployment_rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 4.0 4.1 4.0 3.8 4.0 4.0 4.0 4.1 3.9 3.9 3.9 3.9
2001 4.2 4.2 4.3 4.4 4.3 4.5 4.6 4.9 5.0 5.3 5.5 5.7
2002 5.7 5.7 5.7 5.9 5.8 5.8 5.8 5.7 5.7 5.7 5.9 6.0
2003 5.8 5.9 5.9 6.0 6.1 6.3 6.2 6.1 6.1 6.0 5.8 5.7
2004 5.7 5.6 5.8 5.6 5.6 5.6 5.5 5.4 5.4 5.5 5.4 5.4
2005 5.3 5.4 5.2 5.2 5.1 5.0 5.0 4.9 5.0 5.0 5.0 4.9
2006 4.7 4.8 4.7 4.7 4.6 4.6 4.7 4.7 4.5 4.4 4.5 4.4
2007 4.6 4.5 4.4 4.5 4.4 4.6 4.7 4.6 4.7 4.7 4.7 5.0
2008 5.0 4.9 5.1 5.0 5.4 5.6 5.8 6.1 6.1 6.5 6.8 7.3
2009 7.8 8.3 8.7 9.0 9.4 9.5 9.5 9.6 9.8 10.0 9.9 9.9
2010 9.8 9.8 9.9 9.9 9.6 9.4 9.5 9.5 9.5 9.5 9.8 9.3
2011 9.1 9.0 8.9 9.0 9.0 9.1 9.0 9.0 9.0 8.9 8.6 8.5
2012 8.3 8.3 8.2 8.1 8.2 8.2 8.2 8.1 7.8 7.9 7.8 7.8
2013 7.9 7.7 7.6 7.5 7.6 7.6

16-19 Years (Teenage) Unemployment Rate

24.0%

Series Id: LNS14000012 Seasonally Adjusted

Series title: (Seas) Unemployment Rate – 16-19 yrs.

Labor force status: Unemployment rate

Type of data: Percent or rate

Age: 16 to 19 years

teenage_unemployment_rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 12.7 13.8 13.3 12.6 12.8 12.3 13.4 14.0 13.0 12.8 13.0 13.2
2001 13.8 13.7 13.8 13.9 13.4 14.2 14.4 15.6 15.2 16.0 15.9 17.0
2002 16.5 16.0 16.6 16.7 16.6 16.7 16.8 17.0 16.3 15.1 17.1 16.9
2003 17.2 17.2 17.8 17.7 17.9 19.0 18.2 16.6 17.6 17.2 15.7 16.2
2004 17.0 16.5 16.8 16.6 17.1 17.0 17.8 16.7 16.6 17.4 16.4 17.6
2005 16.2 17.5 17.1 17.8 17.8 16.3 16.1 16.1 15.5 16.1 17.0 14.9
2006 15.1 15.3 16.1 14.6 14.0 15.8 15.9 16.0 16.3 15.2 14.8 14.6
2007 14.8 14.9 14.9 15.9 15.9 16.3 15.3 15.9 15.9 15.4 16.2 16.8
2008 17.8 16.6 16.1 15.9 19.0 19.2 20.7 18.6 19.1 20.0 20.3 20.5
2009 20.7 22.2 22.2 22.2 23.4 24.7 24.3 25.0 25.9 27.1 26.9 26.6
2010 26.0 25.4 26.2 25.5 26.6 26.0 26.0 25.7 25.8 27.2 24.6 25.1
2011 25.5 24.0 24.4 24.7 24.0 24.7 24.9 25.2 24.4 24.1 23.9 22.9
2012 23.4 23.7 25.0 24.9 24.4 23.7 23.9 24.5 23.7 23.7 23.6 23.5
2013 23.4 25.1 24.2 24.1 24.5 24.0

Series Id:           LNS14000006
Seasonally Adjusted
Series title:        (Seas) Unemployment Rate – Black or African American
Labor force status:  Unemployment rate
Type of data:        Percent or rate
Age:                 16 years and over
Race:                Black or African American

Black or African American Unemployment Rate

13.7 % 

 black_unemployment_rate

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
2000 8.2 8.1 7.4 7.0 7.7 7.8 7.7 7.9 7.3 7.3 7.3 7.4
2001 8.2 7.7 8.3 8.0 7.9 8.3 8.0 9.1 8.9 9.5 9.8 10.1
2002 10.0 9.9 10.5 10.7 10.2 10.5 9.8 9.8 9.7 9.8 10.7 11.3
2003 10.5 10.7 10.3 10.9 10.9 11.5 10.9 10.9 11.1 11.4 10.2 10.1
2004 10.4 9.7 10.3 9.8 10.1 10.2 11.0 10.5 10.3 10.8 10.7 10.7
2005 10.6 10.9 10.5 10.3 10.1 10.2 9.2 9.7 9.4 9.1 10.6 9.2
2006 8.9 9.5 9.5 9.4 8.7 8.9 9.5 8.8 9.0 8.4 8.5 8.3
2007 7.9 8.0 8.4 8.3 8.3 8.5 8.1 7.6 8.0 8.5 8.5 9.0
2008 9.1 8.4 9.2 8.6 9.6 9.4 10.0 10.6 11.3 11.4 11.5 12.1
2009 12.7 13.7 13.6 15.0 15.0 14.9 14.8 14.9 15.3 15.9 15.7 16.1
2010 16.5 16.1 16.8 16.5 15.5 15.3 15.6 16.0 15.9 15.8 16.0 15.6
2011 15.8 15.5 15.7 16.3 16.3 16.2 15.8 16.5 15.8 14.9 15.5 15.6
2012 13.6 14.1 14.0 13.1 13.6 14.4 14