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2012 04 254·
2012 03 264·
2012 02 683·
2012 01 20.
2011 12 73.
2011 11 612.
2011 10 445·
2011 09 685.
2011 08 243·
2011 07 621.
2011 06 900·
2011 05 11.
2011 04 272.
2011 03 134·
2011 02 181·
2011 01 462.
2010 12 912.
2010 11 192·
2010 10 672·
2010 09 713.
2010 08 160.
2010 07 123·
2010 06 990.
2010 05 713·
2010 04 270.
2010 03 493·
2010 02 30.
2010 01 650.
2009 12 763.
2009 11 110.
2009 10 902.
2009 09 981·
2009 08 371.
2009 07 60.
2009 06 00·
2009 01 373.
2008 12 104·
2008 05 641·
2008 04 942·
2008 03 781·
2008 02 222·
2008 01 421·
2007 12 610.
2007 11 390.
2007 09 234.
2007 08 230·
2007 07 147.
2007 06 660.
2007 05 881·
2007 04 123.
2007 03 913·
2007 02 253.
2007 01 172·
2006 10 411·
2006 08 540.
2006 07 134.
2006 06 356·
2006 05 672.
2006 01 913·
2005 12 481·
2005 11 941·
2005 10 721·
2005 09 151·
2005 08 751·
2005 07 696.
2005 06 623.
2005 04 652.
2005 03 613·
2005 02 595·
2005 01 692·
2004 10 32.
2004 09 22.
2004 08 915·
2004 07 497·
2004 06 162.
2004 05 172·
2004 03 155·
2004 02 852.
2004 01 195.
2003 12 505·
2003 11 53·
2003 10 821.
2003 09 482·
2003 08 690.
2003 07 633.
2003 06 720.
2003 05 660·
2003 04 701·
2003 03 143·
2003 02 134·
2003 01 627.
2002 12 715·
2002 11 95.
2002 10 855·
2002 09 492.
2002 08 163·
2002 07 224·
2002 05 963.
2002 04 633·
2002 03 753·
2002 02 540.
2001 12 762.
2001 10 695.
2001 09 413.
2001 08 312.
2001 07 835·
2001 06 544·
2001 05 346.
2001 04 22.
2001 03 980·
2001 02 310·
2001 01 990·
2000 12 440.
2000 11 290.
2000 10 383.
2000 09 36.
2000 08 566.
2000 07 57.
2000 06 374.
2000 05 417·
2000 04 643·
2000 03 852·
2000 02 172.
2000 01 334.
1999 12 198·
1999 11 507.
1999 10 9022·
1999 09 2218.
1999 08 9618.
1999 07 617.
1999 06 955.
1999 05 781·
1999 04 941·
1999 03 855·
1999 02 941.
1998 12 953·
1998 11 417·
1998 10 442·
1998 09 751·
1998 08 917·
1998 07 856.
1998 06 642.
1998 05 525.
1998 04 127·
1998 03 37·
1998 02 524.
1998 01 614·
1997 12 263.
1997 11 946·
1997 10 406.
1997 09 669·
1997 08 2711·
1997 07 8513.
1997 06 8510·
1997 05 558·
1997 04 344·
1997 03 252·
1997 02 671·
1997 01 408.
1996 12 934·
1996 11 909·
1996 10 934.
1996 09 604.
1996 08 7110.
1996 07 806.
1996 06 967.
1996 05 777.
1996 04 625.
1996 03 223·
1996 02 323.
1996 01 805.
1995 12 875.
1995 11 643.
1995 10 825.
1995 09 806.
1995 08 8912·
1995 07 8215·
1995 06 5314.
1995 05 1713·
1995 04 3814·
1995 03 789·
1995 02 773·
1995 01 533·
1994 12 275·
1994 11 762.
1994 10 111·
1994 09 764.
1994 08 756.
1994 07 2610·
1994 06 358.
1994 05 987·
1994 04 277.
1994 03 54.
1994 02 582·
1994 01 584.
1993 12 5316.
1993 11 1214.
1993 10 917.
1993 09 1833·
1993 08 4522·
1993 07 7324·
1993 06 4735.
1993 05 6726·
1993 04 2319·
1993 03 3824.
1993 02 5220.
1993 01 1813.
1992 12 325·
1992 11 8324·
1992 10 3122·
1992 09 716.
1992 08 4026·
1992 07 825.
1992 06 1636·
1992 05 9813.
1992 04 4118·
1992 03 3811·
1992 02 6416·
1992 01 8012.
1991 12 5610·
1991 11 2412.
1991 10 5613.
1991 09 6417.
1991 08 2716.
1991 07 4128.
1991 06 9921·
1991 05 8929·
1991 04 2412.
1991 03 9020.
1991 02 2422.
1991 01 1819·
1990 12 4111·
1990 11 9516.
1990 10 8822·
1990 09 3827.
1990 08 9820.
1990 07 820.
1990 06 7327·
1990 05 6329·
1990 04 3819·
1990 03 415·
1990 02 869·
1990 01 308.
1989 12 3122.
1989 11 8322·
1989 10 5720·
1989 09 226.
1989 08 7026·
1989 07 7030·
1989 06 4441·
1989 05 6735.
1989 04 7526.
1989 03 1734.
1989 02 2919.
1989 01 3915·
1988 12 9021.
1988 11 9722·
1988 10 1725.
1988 09 5413.
1988 08 8525.
1988 07 1326·
1988 06 4135.
1988 05 7636.
1988 04 5216.
1988 03 8816·
1988 02 5728.
1988 01 9225.
1987 12 1225·
1987 11 7440.
1987 10 4724.
1987 09 1614·
1987 08 921.
1987 07 4616·
1987 06 1719·
1987 05 8624.
1987 04 1121.
1987 03 418.
1987 02 016.
1987 01 6426·
1986 12 1318·
1986 11 7431·
1986 10 5126·
1986 09 3816·
1986 08 3527·
1986 07 538·
1986 06 5342·
1986 05 2130.
1986 04 1921·
1986 03 7533·
1986 02 1214.
1986 01 5121.
1985 12 3518.
1985 11 8222·
1985 10 6023·
1985 09 9124·
1985 08 7832·
1985 07 5244·
1985 06 5341·
1985 05 2949·
1985 04 6633.
1985 03 3655.
1985 02 7329·
1985 01 7836·
1984 12 4536.
1984 11 831·
1984 10 2633·
1984 09 7543.
1984 08 8157·
1984 07 7158·
1984 06 4552.
1984 05 8444·
1984 04 7134.
1984 03 4830.
1984 02 8620.
1984 01 9226.
1983 12 3331·
1983 11 9034.
1983 10 3040·
1983 09 1236.
1983 08 1141.
1983 07 7345·
1983 06 8450.
1983 05 8235.
1983 04 7525.
1983 03 9637.
1983 02 8121·
1983 01 6520.
1982 12 1827·
1982 11 8642·
1982 10 7546.
1982 09 5044.
1982 08 6057.
1982 07 9355.
1982 06 5058.
1982 05 4843·
1982 04 4435.
1982 03 9225·
1982 02 1232·
1982 01 9831·
1981 12 4125·
1981 11 8348.
1981 10 9247.
1981 09 6233·
1981 08 4444.
1981 07 9251.
1981 06 4747·
1981 05 2939.
1981 04 7144.
1981 03 7038.
1981 02 5843·
1981 01 1135·
1980 12 6940.
1980 11 9149·
1980 10 3359·
1980 09 4658·
1980 08 462.
1980 07 5685·
1980 06 371·
1980 05 9868.
1980 04 7349·
1980 03 9130·
1980 02 2525.
1980 01 5330.
1979 12 9340·
1979 11 4649·
1979 10 8062.
1979 09 2648.
1979 08 948.
1979 07 9671·
1979 06 7465.
1979 05 5355.
1979 04 9042.
1979 03 4140.
1979 02 4025.
1979 01 9820·
1978 12 3041.
1978 11 844·
1978 10 3557.
1978 09 4946.
1978 08 4952·
1978 07 4677·
1978 06 3957.
1978 05 1852.
1978 04 9040.
1978 03 3040·
1978 02 5932·
1978 01 4330.
1977 12 2338·
1977 11 6263·
1977 10 2854.
1977 09 8848·
1977 08 4264.
1977 07 6783.
1977 06 179·
1977 05 4075.
1977 04 6555.
1977 03 9533.
1977 02 6138.
1977 01 1238.
1976 12 3853·
1976 11 2062·
1976 10 1471.
1976 09 4263.
1976 08 2859·
1976 07 4554·
1976 06 9156·
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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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