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 9812·
1976 07 1615·
1976 08 7222.
1976 09 2727.
1976 10 6316·
1976 11 6619.
1976 12 2215·
1977 01 4918·
1977 02 4510·
1977 03 6425·
1977 04 2323·
1977 05 2033·
1977 06 9317.
1977 07 9314·
1977 08 8714·
1977 09 8316.
1977 10 8312.
1977 11 5916·
1977 12 5312.
1978 01 913.
1978 02 1613.
1978 03 9314·
1978 04 8416.
1978 05 9022.
1978 06 1714.
1978 07 5118·
1978 08 6719.
1978 09 4724·
1978 10 3522.
1978 11 1722.
1978 12 1624.
1979 01 2320.
1979 02 4821·
1979 03 9623·
1979 04 6829.
1979 05 8817.
1979 06 5518.
1979 07 2014·
1979 08 8616.
1979 09 3524·
1979 10 8125.
1979 11 4533·
1979 12 5825.
1980 01 8414·
1980 02 7714.
1980 03 548.
1980 04 969.
1980 05 7916.
1980 06 1818.
1980 07 5218·
1980 08 4013·
1980 09 8915.
1980 10 515·
1980 11 7220·
1980 12 5218.
1981 01 813.
1981 02 636.
1981 03 7113·
1981 04 1915·
1981 05 5619.
1981 06 4323.
1981 07 2916.
1981 08 5417.
1981 09 7613·
1981 10 1916.
1981 11 5313.
1981 12 9614.
1982 01 387·
1982 02 926.
1982 03 7615·
1982 04 710.
1982 05 3515·
1982 06 8816.
1982 07 5316.
1982 08 7610·
1982 09 8719.
1982 10 5725·
1982 11 6720·
1982 12 1417·
1983 01 3916·
1983 02 7411·
1983 03 2311.
1983 04 6017.
1983 05 5925.
1983 06 4011.
1983 07 5416.
1983 08 7721.
1983 09 4119.
1983 10 8119.
1983 11 1718·
1983 12 5322·
1984 01 413·
1984 02 4512.
1984 03 929·
1984 04 112.
1984 05 9310.
1984 06 109.
1984 07 879.
1984 08 5816.
1984 09 7711·
1984 10 7510·
1984 11 3416.
1984 12 8712·
1985 01 507·
1985 02 666·
1985 03 8812·
1985 04 7711·
1985 05 3011.
1985 06 336.
1985 07 312.
1985 08 406·
1985 09 6310·
1985 10 5117.
1985 11 716.
1985 12 147·
1986 01 1813.
1986 02 2114·
1986 03 3815·
1986 04 628·
1986 05 879.
1986 06 699.
1986 07 903·
1986 08 718.
1986 09 9214.
1986 10 449·
1986 11 88.
1986 12 5611·
1987 01 7518.
1987 02 2211·
1987 03 9913·
1987 04 5312·
1987 05 611.
1987 06 415.
1987 07 9310·
1987 08 256.
1987 09 794.
1987 10 146·
1987 11 495·
1987 12 615·
1988 01 135·
1988 02 47.
1988 03 4815.
1988 04 747.
1988 05 526.
1988 06 4816·
1988 07 956·
1988 08 03·
1988 09 663.
1988 10 4812·
1988 11 247·
1988 12 410·
1989 01 4911·
1989 02 279.
1989 03 9012.
1989 04 7212·
1989 05 1916.
1989 06 3816·
1989 07 769.
1989 08 196·
1989 09 2113.
1989 10 5515.
1989 11 877·
1989 12 819·
1990 01 249.
1990 02 788·
1990 03 556·
1990 04 229·
1990 05 226.
1990 06 3312·
1990 07 388.
1990 08 2910.
1990 09 3519.
1990 10 7119·
1990 11 1621.
1990 12 1610·
1991 01 69·
1991 02 669.
1991 03 978.
1991 04 2019·
1991 05 418.
1991 06 2028·
1991 07 1214.
1991 08 413·
1991 09 2514·
1991 10 5712·
1991 11 1710·
1991 12 578.
1992 01 869·
1992 02 282.
1992 03 9519.
1992 04 9024.
1992 05 3221·
1992 06 811.
1992 07 5213·
1992 08 428·
1992 09 327·
1992 10 987·
1992 11 196·
1992 12 764·
1993 01 807·
1993 02 2317.
1993 03 5313.
1993 04 8011·
1993 05 9615·
1993 06 348.
1993 07 3713·
1993 08 6611.
1993 09 2411.
1993 10 54.
1993 11 769·
1993 12 734·
1994 01 3210.
1994 02 384·
1994 03 23·
1994 04 634·
1994 05 152·
1994 06 571.
1994 07 712·
1994 08 243.
1994 09 921.
1994 10 136·
1994 11 6710.
1994 12 694.
1995 01 73.
1995 02 822·
1995 03 943·
1995 04 374·
1995 05 296·
1995 06 643·
1995 07 857.
1995 08 897·
1995 09 536·
1995 10 846.
1995 11 966·
1995 12 147·
1996 02 975·
1996 03 921.
1996 04 90·
1996 05 252·
1996 06 64.
1996 07 646·
1996 08 310.
1996 09 591.
1996 10 495·
1996 12 13.
1997 01 935·
1997 02 801.
1997 03 192·
1997 04 287·
1997 05 525.
1997 06 759·
1997 07 371·
1997 08 951·
1997 09 903.
1997 10 572·
1997 11 464.
1997 12 774·
1998 01 138·
1998 02 648.
1998 03 163·
1998 04 753·
1998 05 522.
1998 06 600·
1998 07 404·
1998 08 154·
1998 09 658·
1998 10 317·
1998 11 376·
1998 12 469·
1999 01 348.
1999 02 9111·
1999 03 538.
1999 04 454·
1999 05 645.
1999 06 782.
1999 07 551·
1999 08 116·
1999 09 873.
1999 10 554·
1999 11 397·
1999 12 6912.
2000 01 606·
2000 02 96.
2000 03 227·
2000 04 727.
2000 05 654·
2000 06 535.
2000 07 503.
2000 08 923.
2000 09 95.
2000 10 253·
2000 11 924·
2000 12 324.
2001 01 225·
2001 02 899·
2001 03 413·
2001 04 179·
2001 05 6210.
2001 06 325·
2001 07 178·
2001 08 964·
2001 09 107.
2001 10 664.
2001 11 646·
2001 12 453·
2002 01 738·
2002 02 316.
2002 03 519·
2002 04 669.
2002 05 837.
2002 06 888·
2002 08 725·
2002 09 822·
2002 10 952·
2002 11 2610.
2002 12 477·
2003 01 444·
2003 02 934.
2003 03 572.
2003 04 193.
2003 05 291·
2003 06 827·
2003 07 204·
2003 08 573·
2003 09 357.
2003 10 9416.
2003 11 765.
2003 12 579.
2004 01 891.
2004 02 856.
2004 03 1510.
2004 04 361·
2004 06 415·
2004 07 382·
2004 08 502·
2004 09 403.
2004 10 672·
2004 11 594.
2004 12 174.
2005 01 366.
2005 02 6613.
2005 03 806.
2005 04 795·
2005 05 205·
2005 07 652·
2005 08 575.
2005 09 268.
2005 10 115.
2005 11 139·
2005 12 724·
2006 01 694·
2006 02 525·
2006 03 866·
2006 04 310.
2006 05 474·
2006 06 134·
2006 07 844.
2006 08 672.
2006 09 223·
2006 10 8710·
2006 11 334.
2006 12 366.
2007 01 824.
2007 02 954.
2007 03 832.
2007 04 193·
2007 05 412.
2007 06 806.
2007 07 93·
2007 08 236·
2007 09 357·
2007 11 113.
2007 12 130.
2008 01 805.
2008 02 297·
2008 03 838.
2008 04 188·
2008 05 463.
2008 06 91·
2008 07 143·
2008 08 770.
2008 09 33·
2008 10 905.
2008 11 492.
2008 12 635.
2009 01 583·
2009 02 73.
2009 03 574·
2009 04 782·
2009 05 432.
2009 06 269.
2009 07 321·
2009 08 479·
2009 09 133·
2009 10 324·
2009 11 937·
2009 12 207·
2010 01 514.
2010 02 405.
2010 03 841.
2010 04 721.
2010 05 630.
2010 06 881·
2010 07 751·
2010 08 55.
2010 09 818.
2010 10 373.
2010 11 604·
2010 12 434·
2011 01 627.
2011 02 7610·
2011 03 5710.
2011 04 366·
2011 05 865·
2011 06 187·
2011 07 117.
2011 08 610.
2011 09 620.
2011 10 10·
2011 11 910·
2011 12 185·
2012 01 206.
2012 02 886.
2012 03 912·
2012 04 315·
2012 05 179·
2012 06 665.
2012 07 314.
2012 08 521.
2012 09 350·
2012 10 483·
2012 11 545.
2012 12 5610.
2013 01 805.
2013 02 739.
2013 03 299.
2013 04 430.
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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
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Example 1: Get Unemployment Rates for people in Computer jobs |
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Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
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Example 3: Get Population Level Data for Workers |
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