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2012 04 110·
2012 03 653·
2012 02 381·
2012 01 684·
2011 12 210.
2011 11 622.
2011 10 613·
2011 09 152.
2011 08 40·
2011 07 640.
2011 06 912·
2011 05 662.
2011 04 96.
2011 03 513·
2011 02 412.
2011 01 673.
2010 12 133.
2010 11 322·
2010 10 495·
2010 09 860.
2010 08 163·
2010 07 382·
2010 06 783.
2010 05 173.
2010 04 431.
2010 03 241·
2010 02 150·
2010 01 800·
2009 12 440·
2009 11 740.
2009 10 753.
2009 09 184.
2009 08 965·
2009 07 939.
2009 06 9316·
2009 05 111.
2009 04 988.
2009 03 145·
2009 02 344·
2009 01 239.
2008 09 750.
2008 08 926·
2008 07 867·
2008 06 32.
2008 05 791·
2008 04 101.
2008 01 601.
2007 12 853.
2007 11 841.
2007 10 742·
2007 09 961.
2007 08 391.
2007 07 912·
2007 06 155·
2007 05 564.
2007 04 586·
2007 03 253.
2007 01 913.
2006 10 271.
2006 09 612.
2006 08 376.
2006 07 843.
2006 06 234·
2006 05 944.
2006 04 20·
2006 02 982·
2006 01 825.
2005 12 246·
2005 11 206·
2005 10 671·
2005 09 663·
2005 08 460·
2005 07 173·
2005 06 473·
2005 05 642.
2005 04 793.
2005 02 440·
2005 01 201·
2004 12 882·
2004 11 685·
2004 10 752·
2004 09 922·
2004 07 762·
2004 06 817·
2004 05 112·
2004 04 952·
2004 03 923·
2004 02 133.
2004 01 773.
2003 12 853·
2003 11 225.
2003 10 824·
2003 09 250·
2003 07 456·
2003 05 802.
2003 04 342·
2003 03 283·
2003 02 801.
2003 01 43·
2002 12 361.
2002 11 883·
2002 10 233.
2002 09 562·
2002 08 837.
2002 07 3013·
2002 06 3015.
2002 05 2513·
2002 04 953.
2002 03 43·
2001 12 823.
2001 11 245·
2001 10 152·
2001 09 864·
2001 08 874.
2001 07 905.
2001 06 139·
2001 05 777.
2001 04 766.
2001 02 863·
2001 01 823·
2000 10 02.
2000 09 61.
2000 08 01.
2000 07 435.
2000 06 87·
2000 05 584.
2000 04 455.
2000 02 385·
2000 01 754.
1999 12 395·
1999 11 596.
1999 10 371·
1999 09 24.
1999 08 8018·
1999 07 526.
1999 06 3530·
1999 05 1415.
1999 04 396.
1999 03 700·
1999 02 505·
1999 01 612·
1998 12 9711.
1998 11 6824.
1998 10 2717·
1998 09 1930.
1998 08 6031·
1998 07 3651.
1998 06 3433.
1998 05 8823·
1998 04 6021.
1998 03 383.
1998 02 663.
1998 01 948.
1997 12 543·
1997 11 612·
1997 10 435.
1997 09 8711.
1997 08 2324.
1997 07 1831·
1997 06 736.
1997 05 4327·
1997 04 7519.
1997 03 478.
1997 02 286.
1997 01 6110.
1996 12 406·
1996 11 1110.
1996 10 115.
1996 09 6829.
1996 08 7530.
1996 07 9853.
1996 06 4541.
1996 05 1325·
1996 04 632.
1996 03 208.
1996 02 36.
1996 01 723·
1995 12 96.
1995 11 1617·
1995 10 4531.
1995 09 4646.
1995 08 4570·
1995 07 4972.
1995 06 6570.
1995 05 5953.
1995 04 2942·
1995 03 629.
1995 02 8229·
1995 01 6227·
1994 12 4026.
1994 11 045.
1994 10 4052.
1994 09 3262.
1994 08 8769.
1994 07 6965.
1994 06 946·
1994 05 6744·
1994 04 141·
1994 03 7623.
1994 02 8232·
1994 01 9316.
1993 12 392.
1993 11 99·
1993 10 7920·
1993 09 6115·
1993 08 8126·
1993 07 8121.
1993 06 4428.
1993 05 4614.
1993 04 357·
1993 03 298.
1993 02 452.
1993 01 492·
1992 12 335.
1992 11 189.
1992 10 7811·
1992 09 9422·
1992 08 3028·
1992 07 3348.
1992 06 6135.
1992 05 3324·
1992 04 109.
1992 03 891·
1992 02 386·
1992 01 4111·
1991 12 777.
1991 11 238.
1991 10 797.
1991 09 1711.
1991 08 6534.
1991 07 9943.
1991 06 7736.
1991 05 8929.
1991 04 297·
1991 03 34.
1991 02 526·
1991 01 42.
1990 12 515·
1990 11 506.
1990 10 4912.
1990 09 4114·
1990 08 3823.
1990 07 7620·
1990 06 3526·
1990 05 9811·
1990 04 2210·
1990 03 4514.
1990 02 57.
1990 01 01.
1989 12 599·
1989 11 445.
1989 10 7919·
1989 09 021.
1989 08 3119.
1989 07 8717·
1989 06 027.
1989 05 7115·
1989 04 445·
1989 03 113.
1989 02 383.
1989 01 144.
1988 12 305.
1988 11 8014·
1988 10 874.
1988 09 5514·
1988 08 4624·
1988 07 8130·
1988 06 6516.
1988 05 4438·
1988 04 7311.
1988 03 2617.
1988 02 183·
1988 01 5611·
1987 12 186·
1987 11 555·
1987 10 149·
1987 09 928·
1987 08 1331·
1987 07 3045·
1987 06 4737.
1987 05 7712·
1987 04 1515·
1987 03 384·
1987 02 377·
1987 01 623·
1986 12 43·
1986 11 937.
1986 10 2713·
1986 09 2110.
1986 08 8727·
1986 07 3225·
1986 06 8735·
1986 05 5639.
1986 04 9713·
1986 03 1911·
1986 02 117·
1986 01 921·
1985 12 909.
1985 11 4110·
1985 10 1813.
1985 09 7933.
1985 08 4749.
1985 07 1233·
1985 06 5237.
1985 05 9227·
1985 04 7613.
1985 03 681·
1985 02 822·
1985 01 324.
1984 12 75·
1984 11 736·
1984 10 316.
1984 09 2532.
1984 08 9728·
1984 07 1531·
1984 06 3426·
1984 05 2024·
1984 04 299.
1984 03 73·
1984 02 186·
1984 01 931·
1983 12 88.
1983 11 875·
1983 10 258.
1983 09 4415.
1983 08 6633.
1983 07 1733·
1983 06 4931.
1983 05 032.
1983 04 6117·
1983 03 855·
1983 02 103·
1983 01 92·
1982 12 7311.
1982 11 514·
1982 10 5023.
1982 09 4914·
1982 08 1034·
1982 07 1438.
1982 06 4032·
1982 05 1827·
1982 04 210·
1982 03 7511·
1982 02 745·
1982 01 437·
1981 12 713.
1981 11 764·
1981 10 7016·
1981 09 7332.
1981 08 627·
1981 07 3020·
1981 06 7430.
1981 05 8528.
1981 04 514·
1981 03 749·
1981 02 539.
1981 01 786.
1980 12 3810.
1980 11 7210·
1980 10 221·
1980 09 7834·
1980 08 5929.
1980 07 1232·
1980 06 4127·
1980 05 3626.
1980 04 5110.
1980 03 68·
1980 02 1311·
1980 01 264·
1979 12 216·
1979 11 9316·
1979 10 8817·
1979 09 5029.
1979 08 9930·
1979 07 3521·
1979 06 5912·
1979 05 3126·
1979 04 4312.
1979 03 1917·
1979 02 4610.
1979 01 2214.
1978 12 3511·
1978 11 604.
1978 10 9414.
1978 09 9813·
1978 08 8018.
1978 07 9517.
1978 06 7023.
1978 05 5728·
1978 04 114·
1978 03 864.
1978 02 706.
1978 01 274.
1977 12 841·
1977 11 224·
1977 10 128·
1977 09 5815·
1977 08 8118.
1977 07 1619.
1977 06 4017·
1977 05 2423·
1977 04 814·
1977 03 57.
1977 02 252·
1977 01 275·
1976 12 989·
1976 11 5310·
1976 10 597·
1976 09 9116·
1976 08 724·
1976 07 4627·
1976 06 6226.
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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
Input your search text below.
or alter the examples after this blank template.
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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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