Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
1976 06 121413·
1976 07 701310·
1976 08 261376.
1976 09 621540·
1976 10 871558.
1976 11 111542·
1976 12 481548.
1977 01 371584·
1977 02 31594·
1977 03 261567·
1977 04 451561·
1977 05 861598·
1977 06 111435.
1977 07 961372·
1977 08 321440·
1977 09 531579·
1977 10 861651.
1977 11 271593·
1977 12 461589·
1978 01 71607.
1978 02 291602.
1978 03 521649.
1978 04 491658·
1978 05 421649·
1978 06 641506·
1978 07 271423·
1978 08 291409·
1978 09 781678.
1978 10 431687·
1978 11 341715.
1978 12 01680·
1979 01 571689.
1979 02 401761.
1979 03 791769·
1979 04 991766·
1979 05 501775·
1979 06 571602.
1979 07 941560.
1979 08 891598.
1979 09 511837.
1979 10 181849.
1979 11 351839·
1979 12 581859·
1980 01 791844.
1980 02 731879·
1980 03 851870·
1980 04 201836·
1980 05 771906.
1980 06 991699·
1980 07 491631·
1980 08 111628.
1980 09 161854.
1980 10 961907.
1980 11 601957·
1980 12 941893·
1981 01 881910·
1981 02 891992.
1981 03 752007·
1981 04 591994·
1981 05 141973·
1981 06 281807.
1981 07 741730.
1981 08 161700·
1981 09 381883·
1981 10 891907.
1981 11 641951.
1981 12 61923.
1982 01 281969.
1982 02 721984·
1982 03 781956.
1982 04 892011·
1982 05 792014.
1982 06 31908.
1982 07 711842.
1982 08 551837·
1982 09 102045·
1982 10 312082.
1982 11 262045.
1982 12 152049·
1983 01 652106.
1983 02 332134·
1983 03 482165.
1983 04 92130.
1983 05 132122·
1983 06 91977.
1983 07 701874·
1983 08 981881.
1983 09 492086.
1983 10 842156·
1983 11 492173·
1983 12 712194.
1984 01 912241·
1984 02 92308·
1984 03 652358·
1984 04 412318.
1984 05 832318.
1984 06 582096·
1984 07 262030.
1984 08 451986·
1984 09 962223·
1984 10 332270·
1984 11 642242·
1984 12 472338.
1985 01 222307·
1985 02 592388.
1985 03 342394·
1985 04 342422.
1985 05 812467·
1985 06 852226·
1985 07 182112.
1985 08 192202·
1985 09 182376.
1985 10 882554.
1985 11 242518.
1985 12 402557.
1986 01 12529·
1986 02 682567.
1986 03 822529·
1986 04 602501·
1986 05 242591.
1986 06 502415.
1986 07 502338.
1986 08 672448.
1986 09 72654.
1986 10 852644·
1986 11 92706.
1986 12 742748.
1987 01 932685.
1987 02 482698·
1987 03 662691·
1987 04 182673·
1987 05 532766.
1987 06 402617·
1987 07 522518.
1987 08 632520·
1987 09 792804.
1987 10 852880·
1987 11 242856.
1987 12 972828·
1988 01 922873.
1988 02 352858·
1988 03 632845·
1988 04 312935·
1988 05 352866·
1988 06 642684.
1988 07 772543.
1988 08 52606·
1988 09 772939·
1988 10 733020·
1988 11 963003·
1988 12 813066.
1989 01 133031·
1989 02 873044·
1989 03 793028.
1989 04 472963.
1989 05 622996.
1989 06 582820.
1989 07 52752·
1989 08 152802·
1989 09 683007·
1989 10 593103·
1989 11 823101.
1989 12 253112·
1990 01 993134.
1990 02 923161.
1990 03 423126.
1990 04 383114.
1990 05 513171·
1990 06 823008.
1990 07 402929·
1990 08 422995·
1990 09 423138.
1990 10 803207·
1990 11 603276·
1990 12 513236·
1991 01 173218.
1991 02 603274.
1991 03 63298.
1991 04 33250.
1991 05 443279·
1991 06 233130.
1991 07 123008.
1991 08 593077·
1991 09 173290·
1991 10 953373·
1991 11 343356·
1991 12 93362·
1992 01 573192·
1992 02 263175·
1992 03 523305·
1992 04 653220·
1992 05 63264.
1992 06 913154·
1992 07 753038·
1992 08 643074.
1992 09 353379·
1992 10 903463·
1992 11 333408·
1992 12 703335·
1993 01 373332.
1993 02 503279·
1993 03 843316.
1993 04 713387.
1993 05 323471·
1993 06 213344·
1993 07 83205·
1993 08 803166·
1993 09 633416.
1993 10 773468·
1993 11 133346.
1993 12 343357·
1994 01 993277·
1994 02 193255.
1994 03 303317·
1994 04 963366·
1994 05 363344·
1994 06 733134.
1994 07 163044.
1994 08 553012.
1994 09 913277·
1994 10 893301·
1994 11 523321.
1994 12 223280·
1995 01 103232·
1995 02 433261·
1995 03 453294.
1995 04 373392·
1995 05 613378·
1995 06 343115.
1995 07 272909·
1995 08 612980.
1995 09 383149.
1995 10 893287.
1995 11 553317.
1995 12 843187·
1996 01 613138.
1996 02 573216.
1996 03 93235.
1996 04 173265·
1996 05 733307.
1996 06 143095·
1996 07 972963·
1996 08 983040·
1996 09 443137·
1996 10 613198.
1996 11 503248.
1996 12 913183·
1997 01 683159·
1997 02 223066.
1997 03 253126·
1997 04 833095.
1997 05 653151.
1997 06 493031.
1997 07 43013·
1997 08 883015.
1997 09 773110·
1997 10 163129.
1997 11 923136.
1997 12 433056·
1998 01 752975·
1998 02 243048·
1998 03 233054·
1998 04 103052.
1998 05 533087.
1998 06 982933·
1998 07 522838.
1998 08 792800.
1998 09 293022·
1998 10 893023.
1998 11 613087·
1998 12 613022.
1999 01 483111.
1999 02 733076.
1999 03 573159·
1999 04 963183·
1999 05 793135·
1999 06 483129.
1999 07 722974·
1999 08 443002·
1999 09 163083.
1999 10 423139.
1999 11 613107·
1999 12 953106·
2000 01 783170.
2000 02 43156·
2000 03 73129·
2000 04 623003.
2000 05 102911·
2000 06 92786.
2000 07 162693.
2000 08 822802·
2000 09 802998.
2000 10 593048·
2000 11 212992·
2000 12 183042.
2001 01 823066·
2001 02 783028·
2001 03 773012.
2001 04 582965·
2001 05 373055·
2001 06 172888.
2001 07 662787.
2001 08 142846.
2001 09 872915·
2001 10 522930.
2001 11 952923·
2001 12 262929.
2002 01 32927.
2002 02 813084.
2002 03 953052.
2002 04 563081.
2002 05 773064.
2002 06 322871.
2002 07 242700.
2002 08 912759.
2002 09 312781.
2002 10 552883.
2002 11 632922.
2002 12 442901.
2003 01 62950·
2003 02 242969.
2003 03 172950.
2003 04 543003·
2003 05 732945.
2003 06 402772·
2003 07 202641·
2003 08 832623.
2003 09 262764.
2003 10 292875·
2003 11 282876.
2003 12 192871·
2004 01 842897·
2004 02 412876·
2004 03 222893.
2004 04 762810.
2004 05 912894.
2004 06 512770·
2004 07 92634·
2004 08 902823·
2004 09 162872.
2004 10 602907·
2004 11 213008.
2004 12 252995·
2005 01 542926.
2005 02 932986·
2005 03 142925.
2005 04 692981·
2005 05 233039.
2005 06 12892.
2005 07 702866·
2005 08 342905.
2005 09 672947.
2005 10 592931.
2005 11 952931.
2005 12 593010.
2006 01 562959.
2006 02 672964·
2006 03 222894·
2006 04 72886·
2006 05 852898·
2006 06 512764·
2006 07 72776.
2006 08 642812·
2006 09 712876·
2006 10 602917·
2006 11 312907·
2006 12 453077·
2007 01 593020.
2007 02 722950.
2007 03 12948·
2007 04 872860·
2007 05 192868.
2007 06 852716.
2007 07 492722·
2007 08 532707.
2007 09 442805·
2007 10 252838·
2007 11 312830.
2007 12 312742·
2008 01 542729.
2008 02 432827.
2008 03 292801·
2008 04 333056.
2008 05 933009.
2008 06 152851.
2008 07 502816.
2008 08 982839.
2008 09 292866.
2008 10 392921.
2008 11 262929.
2008 12 892775·
2009 01 582826.
2009 02 432834·
2009 03 122770·
2009 04 932885·
2009 05 972875·
2009 06 752769·
2009 07 912674.
2009 08 232613·
2009 09 922745.
2009 10 132844.
2009 11 692916.
2009 12 172831·
2010 01 112747·
2010 02 552683·
2010 03 782660·
2010 04 392717.
2010 05 492651.
2010 06 282632.
2010 07 752527.
2010 08 752491.
2010 09 252787.
2010 10 812760.
2010 11 412728·
2010 12 402650.
2011 01 832587.
2011 02 912556·
2011 03 822683.
2011 04 702670.
2011 05 912579.
2011 06 572577·
2011 07 312418·
2011 08 292555.
2011 09 452610·
2011 10 62564·
2011 11 442590·
2011 12 42649·
2012 01 632661·
2012 02 862718.
2012 03 32656.
2012 04 92589.
2012 05 892595·
2012 06 742492·
2012 07 152416.
2012 08 812561.
2012 09 932765·
2012 10 712645·
2012 11 102667·
2012 12 832715·
2013 01 692580.
2013 02 12677·
2013 03 462661.
2013 04 32612·
|
|

Click on chart to change display options.
Skip to Data /
More Chart Options

Charts
Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race
The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:
Civilian Labor Force
(subcategories)
Employment Level
(subcategories)
Unemployment Level
(subcategories)
US Unemployment Rate
(subcategories)
Population
(subcategories)
Employment-Population Ratio
(subcategories)
Median Weeks Unemployed
(subcategories)
Percent Distribution
(subcategories)
Average Hours At Work
(subcategories)
Of Total Unemployed
(subcategories)
These basic measures are augmented by:
Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time
These series can be subdivided by:
Sex:
Male
Female
Race and Ethnicity:
White
Black
Hispanic
Mexican
Puerto Rican
Cuban
Age:
16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over
Class Of Worker:
Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers
Industry:
Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration
Occupation:
Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations
Input your search text below.
or alter the examples after this blank template.
|
Example 1: Get Unemployment Rates for people in Computer jobs |
|
Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
|
Example 3: Get Population Level Data for Workers |
|