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2012 04 2815·5
2012 03 8315.9
2012 02 520·7
2012 01 3915·0
2011 12 5815·6
2011 11 3316·4
2011 10 3915.6
2011 09 8014·3
2011 08 4211.5
2011 07 6913·2
2011 06 6115.4
2011 05 714·4
2011 04 3116·8
2011 03 7214·4
2011 02 8515.3
2011 01 6413.8
2010 12 9913.9
2010 11 5014·5
2010 10 4714.4
2010 09 2011.1
2010 08 4714·6
2010 07 3414.7
2010 06 1214·2
2010 05 7016.5
2010 04 115.2
2010 03 8016.7
2010 02 6715.2
2010 01 3318.1
2009 12 1015·8
2009 11 7014.5
2009 10 2515·3
2009 09 5317.8
2009 08 5120.5
2009 07 1219.8
2009 06 2319·4
2009 05 9818.7
2009 04 2319.7
2009 03 3519.8
2009 02 2619·2
2009 01 6422·6
2008 12 5219.2
2008 11 9820·5
2008 10 1919·7
2008 09 6922.3
2008 08 8922.0
2008 07 8122.1
2008 06 1721·2
2008 05 5822.9
2008 04 824·2
2008 03 9223·0
2008 02 5823·7
2008 01 9920·6
2007 12 1024·0
2007 11 6222·9
2007 10 324.5
2007 09 8722.1
2007 08 2120·4
2007 07 4823.4
2007 06 4222·9
2007 05 4022.1
2007 04 9122.8
2007 03 3123·2
2007 02 8725.5
2007 01 426.4
2006 12 9527.6
2006 11 1727.5
2006 10 7529·9
2006 09 4727·8
2006 08 3425·4
2006 07 4024·0
2006 06 7126·6
2006 05 6326·3
2006 04 3325.2
2006 03 5424·9
2006 02 6128.4
2006 01 7123·8
2005 12 4224·4
2005 11 4322·6
2005 10 5822.7
2005 09 1620·9
2005 08 3722·8
2005 07 1124·6
2005 06 123·0
2005 05 6721.4
2005 04 1920·8
2005 03 9322.7
2005 02 5320·0
2005 01 1822.4
2004 12 1223.1
2004 11 4223.7
2004 10 022·6
2004 09 8724.3
2004 08 6725·9
2004 07 4321.9
2004 06 5721.6
2004 05 2023.1
2004 04 6023·1
2004 03 023.5
2004 02 6125·1
2004 01 8526.1
2003 12 9022·8
2003 11 4623·6
2003 10 7420·0
2003 09 7625·5
2003 08 8422·3
2003 07 3723.0
2003 06 8520.3
2003 05 1324.7
2003 04 9125·4
2003 03 5625·4
2003 02 724·9
2003 01 3924·9
2002 12 8725.2
2002 11 823·2
2002 10 7826·2
2002 09 2529.4
2002 08 7325.2
2002 07 2524·0
2002 06 6025.3
2002 05 6324·7
2002 04 7324·7
2002 03 6424·3
2002 02 4224.7
2002 01 7322.3
2001 12 3922·5
2001 11 724·8
2001 10 3525·8
2001 09 025.7
2001 08 4525·5
2001 07 6029·0
2001 06 7929.3
2001 05 1229·1
2001 04 9227.8
2001 03 5427.5
2001 02 3628·2
2001 01 428·9
2000 12 630·8
2000 11 4732.5
2000 10 9332.3
2000 09 9432·3
2000 08 3631.8
2000 07 2129·7
2000 06 6529.5
2000 05 2729·9
2000 04 5831·0
2000 03 8128.0
2000 02 8828.7
2000 01 7230·0
1999 12 7329·5
1999 11 5927.3
1999 10 2626·5
1999 09 2326.5
1999 08 628.9
1999 07 1329.3
1999 06 6630·0
1999 05 9928.5
1999 04 729.1
1999 03 2330·3
1999 02 2230·9
1999 01 4531·3
1998 12 5134·8
1998 11 9632·1
1998 10 3033·0
1998 09 2932·6
1998 08 4031.6
1998 07 6428·4
1998 06 5534.3
1998 05 4630·5
1998 04 9832.5
1998 03 8431·6
1998 02 8429·7
1998 01 1429.7
1997 12 7628.5
1997 11 3828.0
1997 10 3027·3
1997 09 7929.1
1997 08 5029.2
1997 07 3128.0
1997 06 3125.7
1997 05 825.5
1997 04 1827.8
1997 03 9532·9
1997 02 5029.6
1997 01 9729·7
1996 12 827·8
1996 11 8826.7
1996 10 7426·8
1996 09 6426.7
1996 08 7025·2
1996 07 9127·0
1996 06 1627.4
1996 05 5429·1
1996 04 7827·3
1996 03 1028.0
1996 02 1525·6
1996 01 3527·6
1995 12 3328·5
1995 11 7729.4
1995 10 3327·8
1995 09 226.9
1995 08 6126·0
1995 07 4825.3
1995 06 5925·4
1995 05 7426·5
1995 04 1225.0
1995 03 726·4
1995 02 425.1
1995 01 9521.2
1994 12 6220·9
1994 11 5824·0
1994 10 824·5
1994 09 3424.5
1994 08 1024·8
1994 07 3324.5
1994 06 3225·1
1994 05 8620.2
1994 04 8225·2
1994 03 9124.2
1994 02 6525·1
1994 01 6930.4
1993 12 2922·9
1993 11 1121.6
1993 10 1922·7
1993 09 2722.7
1993 08 2623·7
1993 07 023.7
1993 06 3319·0
1993 05 3121.6
1993 04 7318.2
1993 03 9119·8
1993 02 7021·8
1993 01 7321.7
1992 12 9522·3
1992 11 3921·4
1992 10 1619·6
1992 09 7321·9
1992 08 4425·4
1992 07 2721.9
1992 06 8623.2
1992 05 7621·7
1992 04 9522·7
1992 03 6221.4
1992 02 1722.0
1992 01 4921.3
1991 12 4720·1
1991 11 7421·5
1991 10 7219.7
1991 09 8920.5
1991 08 2617·0
1991 07 2021·8
1991 06 3921.3
1991 05 1323·1
1991 04 8422.3
1991 03 8223·7
1991 02 3023·4
1991 01 6522·9
1990 12 9423.8
1990 11 6723.4
1990 10 8425.6
1990 09 1625·2
1990 08 5725·0
1990 07 724.8
1990 06 6426·5
1990 05 5825·8
1990 04 027.3
1990 03 5728.0
1990 02 5726.5
1990 01 1227·8
1989 12 7229·3
1989 11 028·1
1989 10 7627·4
1989 09 2126.6
1989 08 4826.7
1989 07 4328·2
1989 06 6023·9
1989 05 5429·6
1989 04 3027·9
1989 03 1624.9
1989 02 7126·4
1989 01 625·4
1988 12 4127·8
1988 11 7626.5
1988 10 9626·8
1988 09 9627·2
1988 08 3427·8
1988 07 626.5
1988 06 5025.2
1988 05 6823·5
1988 04 8322.4
1988 03 1225.4
1988 02 6925·9
1988 01 9025.3
1987 12 8826·9
1987 11 2526.2
1987 10 1727·9
1987 09 5829·2
1987 08 7530.4
1987 07 225·1
1987 06 8124·8
1987 05 9024·9
1987 04 9523·6
1987 03 2524·0
1987 02 7524.7
1987 01 3121·7
1986 12 2223.0
1986 11 024.1
1986 10 3626·0
1986 09 4923·3
1986 08 5820·3
1986 07 6023·0
1986 06 2725·5
1986 05 3823.6
1986 04 2724·4
1986 03 6024·6
1986 02 3723·4
1986 01 1924.0
1985 12 8021.6
1985 11 8224·2
1985 10 7722·6
1985 09 3521.9
1985 08 9222.0
1985 07 3324.0
1985 06 8622·8
1985 05 5424·2
1985 04 6423·8
1985 03 4523·1
1985 02 2722.0
1985 01 7223·8
1984 12 2122.0
1984 11 7421·2
1984 10 8822.9
1984 09 820.4
1984 08 1421.3
1984 07 221·8
1984 06 8123.1
1984 05 516·3
1984 04 1718.9
1984 03 3516.0
1984 02 4520·4
1984 01 3216·7
1983 12 3217.0
1983 11 616·3
1983 10 4214·5
1983 09 8517.2
1983 08 8317.7
1983 07 7016.5
1983 06 6017.6
1983 05 8118.4
1983 04 2217.5
1983 03 1017·6
1983 02 1317.1
1983 01 6617.7
1982 12 2319.2
1982 11 3118·6
1982 10 3718·2
1982 09 819·0
1982 08 8616·9
1982 07 6716·5
1982 06 9616.3
1982 05 116·8
1982 04 3816.3
1982 03 7318·4
1982 02 7818·9
1982 01 6518.3
1981 12 2918.2
1981 11 3118·6
1981 10 9618·7
1981 09 4318·6
1981 08 3316.2
1981 07 4719·9
1981 06 8719.8
1981 05 621·4
1981 04 5222·2
1981 03 5419·7
1981 02 1520·3
1981 01 4622.6
1980 12 1120.6
1980 11 719·7
1980 10 6720·0
1980 09 8320·5
1980 08 5920.9
1980 07 8921·7
1980 06 5721·6
1980 05 6220.6
1980 04 7420.6
1980 03 721.6
1980 02 2122·0
1980 01 5122.2
1979 12 5423.9
1979 11 9123·0
1979 10 2421.8
1979 09 4421.3
1979 08 2619.5
1979 07 9823·3
1979 06 5221.8
1979 05 6119·4
1979 04 3923.3
1979 03 1123.4
1979 02 1923·7
1979 01 4624.3
1978 12 7023.7
1978 11 3623.4
1978 10 6323·2
1978 09 6823·6
1978 08 1823.9
1978 07 322.6
1978 06 4622.5
1978 05 2121·8
1978 04 820·7
1978 03 7120·2
1978 02 5719.7
1978 01 2419·3
1977 12 9319.2
1977 11 2118·9
1977 10 919.7
1977 09 2219.4
1977 08 4519·2
1977 07 5917·0
1977 06 3818.9
1977 05 8317.6
1977 04 6718·9
1977 03 1717.8
1977 02 918.2
1977 01 218.1
1976 12 8417.8
1976 11 5118·9
1976 10 918·1
1976 09 9718.6
1976 08 4518·8
1976 07 4418·6
1976 06 5018.3
1976 05 1419·7
1976 04 2719.5
1976 03 121·2
1976 02 7220.8
1976 01 2020·7
1975 12 2921.5
1975 11 5520.3
1975 10 3620.8
1975 09 1120.2
1975 08 7719.8
1975 07 6320.7
1975 06 3120·4
1975 05 520.7
1975 04 2220·2
1975 03 519.1
1975 02 6919·7
1975 01 4719·4
1974 12 3818.7
1974 11 8818.4
1974 10 8920·9
1974 09 522·9
1974 08 2721.5
1974 07 4418.9
1974 06 5323·5
1974 05 7420.4
1974 04 1320·8
1974 03 3120·7
1974 02 4921·6
1974 01 7322·2
1973 12 4722·3
1973 11 2822.6
1973 10 9021.9
1973 09 4621.4
1973 08 421.9
1973 07 4422.5
1973 06 1424·5
1973 05 6221·5
1973 04 8621.9
1973 03 921.6
1973 02 8421·2
1973 01 1519.7
1972 12 1619·4
1972 11 8119.2
1972 10 8719·2
1972 09 2519.5
1972 08 4619·2
1972 07 4018·4
1972 06 3717.8
1972 05 3619.1
1972 04 5118·7
1972 03 9419.9
1972 02 7218·8
1972 01 1620·6
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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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