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2012 04 6966.4
2012 03 4866.2
2012 02 4866·5
2012 01 6366·2
2011 12 1566·7
2011 11 2766·7
2011 10 2367.0
2011 09 5866.4
2011 08 6666·4
2011 07 4266·1
2011 06 3766·4
2011 05 8866·3
2011 04 7166.6
2011 03 7466.3
2011 02 266·0
2011 01 9967·0
2010 12 666.9
2010 11 3167.2
2010 10 5666.9
2010 09 5967.5
2010 08 7067·2
2010 07 4467·5
2010 06 6267.4
2010 05 6367.8
2010 04 9067.7
2010 03 6967.9
2010 02 968·0
2010 01 3067.9
2009 12 1667·1
2009 11 8867.8
2009 10 867.7
2009 09 467.7
2009 08 2367·6
2009 07 868.5
2009 06 9868·1
2009 05 5368·4
2009 04 1268·6
2009 03 6168·3
2009 02 4168.1
2009 01 7367.8
2008 12 767.8
2008 11 267.7
2008 10 2668.2
2008 09 8268·4
2008 08 6068.7
2008 07 1568.6
2008 06 6669.0
2008 05 2469.1
2008 04 4668.8
2008 03 568.6
2008 02 9868·7
2008 01 6968.8
2007 12 6468.5
2007 11 368.7
2007 10 8568.5
2007 09 1168·9
2007 08 4269.0
2007 07 6868.8
2007 06 1568·6
2007 05 6968.6
2007 04 2868·9
2007 03 7969.0
2007 02 168·9
2007 01 8669·6
2006 12 9869.1
2006 11 4568·7
2006 10 8168·5
2006 09 3368·1
2006 08 5468·1
2006 07 9668·6
2006 06 1869·2
2006 05 368.6
2006 04 1968.9
2006 03 9068·7
2006 02 9969·0
2006 01 1569·2
2005 12 4568.4
2005 11 768·4
2005 10 3868.0
2005 09 1468·1
2005 08 668·1
2005 07 5567.9
2005 06 7268·0
2005 05 6968·1
2005 04 468·1
2005 03 6567·9
2005 02 6567·8
2005 01 7367.6
2004 12 6468.1
2004 11 9468·4
2004 10 468.6
2004 09 4768.8
2004 08 3568.9
2004 07 2369.0
2004 06 268·7
2004 05 3368.9
2004 04 9468·5
2004 03 5968.5
2004 02 9767.6
2004 01 268·3
2003 12 4167.6
2003 11 3468.1
2003 10 5267·7
2003 09 4767·8
2003 08 167·9
2003 07 467.8
2003 06 5568·5
2003 05 8868·4
2003 04 2568.9
2003 03 5168.6
2003 02 1868.9
2003 01 6869·1
2002 12 8868·6
2002 11 8268.9
2002 10 8068·8
2002 09 5869·2
2002 08 9069·1
2002 07 2869·3
2002 06 469·0
2002 05 5068.9
2002 04 5669.5
2002 03 4769.1
2002 02 7769.5
2002 01 6469.4
2001 12 3869·4
2001 11 1869.2
2001 10 1269.6
2001 09 4569·2
2001 08 1169.2
2001 07 5069·1
2001 06 4768.6
2001 05 6169·3
2001 04 7569·9
2001 03 7370.3
2001 02 4570·0
2001 01 669·9
2000 12 5469·9
2000 11 4669.8
2000 10 9469·4
2000 09 069·8
2000 08 169·2
2000 07 4868·9
2000 06 769.8
2000 05 8769·8
2000 04 9069·9
2000 03 8770.0
2000 02 2269.9
2000 01 3670.2
1999 12 2168.1
1999 11 9467.9
1999 10 167·6
1999 09 4167.7
1999 08 2068·0
1999 07 2667·6
1999 06 3267.7
1999 05 2167·5
1999 04 3767.5
1999 03 6567·8
1999 02 2967·9
1999 01 2067·9
1998 12 4867.8
1998 11 1867.6
1998 10 3067.9
1998 09 968·2
1998 08 5467.7
1998 07 1567.9
1998 06 9668·3
1998 05 7968·7
1998 04 7868·2
1998 03 1468·2
1998 02 1667.7
1998 01 5267.5
1997 12 7367.9
1997 11 9668.0
1997 10 468.0
1997 09 7067·7
1997 08 1268·2
1997 07 6868·3
1997 06 9667·9
1997 05 467.8
1997 04 9867.0
1997 03 6167·7
1997 02 5667·7
1997 01 4668.4
1996 12 5467·5
1996 11 3368.3
1996 10 7167.3
1996 09 1766·8
1996 08 3266·8
1996 07 6566·1
1996 06 5565·7
1996 05 6165·7
1996 04 665.7
1996 03 6265.8
1996 02 4666·3
1996 01 4665·9
1995 12 7865.6
1995 11 5865·7
1995 10 566.3
1995 09 6766.5
1995 08 7366·0
1995 07 966·1
1995 06 2266·0
1995 05 4365.9
1995 04 4065.9
1995 03 9665.4
1995 02 965.4
1995 01 1865.6
1994 12 5665·8
1994 11 2666·8
1994 10 466.5
1994 09 6165·8
1994 08 2065·7
1994 07 3166·0
1994 06 6965·9
1994 05 6666·6
1994 04 5966.2
1994 03 6766·2
1994 02 9366·0
1994 01 5365·7
1993 12 2266.4
1993 11 1666.3
1993 10 8966·6
1993 09 6665.8
1993 08 8565·8
1993 07 8466.0
1993 06 9566·0
1993 05 7365·8
1993 04 4966.0
1993 03 466·4
1993 02 7366·5
1993 01 6966.6
1992 12 3866·6
1992 11 3166·5
1992 10 1166.6
1992 09 7366.8
1992 08 366.9
1992 07 4866·9
1992 06 2267.2
1992 05 3067·1
1992 04 2066.8
1992 03 6167·0
1992 02 4466.9
1992 01 766.7
1991 12 8966·2
1991 11 266·7
1991 10 4166·9
1991 09 166.4
1991 08 3466·5
1991 07 2766·8
1991 06 9966·5
1991 05 2866·2
1991 04 866.6
1991 03 1965.9
1991 02 3266.3
1991 01 3566·8
1990 12 8566·5
1990 11 8366.7
1990 10 7766.9
1990 09 8967·2
1990 08 6568.0
1990 07 5167·5
1990 06 9867.6
1990 05 8667.9
1990 04 7467.7
1990 03 8067·5
1990 02 8367·7
1990 01 4367.8
1989 12 6267.7
1989 11 5267·8
1989 10 4367.1
1989 09 667·2
1989 08 567·4
1989 07 7467·9
1989 06 1867·3
1989 05 4367·9
1989 04 367.7
1989 03 7667.3
1989 02 7068·1
1989 01 4968·2
1988 12 8167.7
1988 11 1568.0
1988 10 8767·6
1988 09 4367.6
1988 08 9066·7
1988 07 7467.2
1988 06 8267.7
1988 05 6966.5
1988 04 566·8
1988 03 5866.8
1988 02 9368·6
1988 01 9567.8
1987 12 2767·1
1987 11 067.0
1987 10 8266·7
1987 09 1766.2
1987 08 8066·1
1987 07 5765·4
1987 06 3865·8
1987 05 5366·6
1987 04 1666.4
1987 03 866.0
1987 02 7366.4
1987 01 4766·5
1986 12 1066.4
1986 11 6365·7
1986 10 2665.9
1986 09 6966·0
1986 08 6265.7
1986 07 5166.0
1986 06 5865·6
1986 05 1364.8
1986 04 9865.0
1986 03 3064.9
1986 02 5964.7
1986 01 9764.0
1985 12 6764.3
1985 11 8164·4
1985 10 4165.3
1985 09 6765.6
1985 08 4665·4
1985 07 1164.8
1985 06 4264·3
1985 05 9064.1
1985 04 3464.2
1985 03 5264.7
1985 02 2464·3
1985 01 6263·9
1984 12 5865.9
1984 11 6065.1
1984 10 7665.1
1984 09 265·3
1984 08 6765.1
1984 07 1665·0
1984 06 1165·1
1984 05 5264.8
1984 04 3664·2
1984 03 2964.7
1984 02 6663·7
1984 01 8464.5
1983 12 6864·1
1983 11 2863·9
1983 10 463·5
1983 09 9064·1
1983 08 8564·3
1983 07 7163.5
1983 06 1464.1
1983 05 9163·4
1983 04 4063.7
1983 03 4063.0
1983 02 863·5
1983 01 2963.4
1982 12 763·6
1982 11 4163.2
1982 10 2463.7
1982 09 7563·2
1982 08 8763·5
1982 07 563·0
1982 06 2463·3
1982 05 2264·5
1982 04 664·0
1982 03 9064.3
1982 02 9864·3
1982 01 9063·6
1981 12 1363·9
1981 11 7664·2
1981 10 5763·9
1981 09 2263·4
1981 08 8363·8
1981 07 7264.1
1981 06 4064·4
1981 05 8864·5
1981 04 1964·3
1981 03 763.7
1981 02 965.1
1981 01 8364.3
1980 12 4464·1
1980 11 4063.8
1980 10 5264.0
1980 09 2463.6
1980 08 964·2
1980 07 5164·3
1980 06 8363·9
1980 05 5663·7
1980 04 9064.0
1980 03 4764.1
1980 02 3964.1
1980 01 4965·0
1979 12 8665·5
1979 11 6064.2
1979 10 8363·2
1979 09 9762·6
1979 08 2462.0
1979 07 4762·5
1979 06 362·4
1979 05 1862·6
1979 04 5463.7
1979 03 8863.8
1979 02 1165·5
1979 01 5765·7
1978 12 5165.5
1978 11 9264·8
1978 10 4764·2
1978 09 8262·2
1978 08 1561·9
1978 07 8861.9
1978 06 7162·2
1978 05 8962.7
1978 04 7362·0
1978 03 3562·6
1978 02 7462.3
1978 01 9663·0
1977 12 7363.0
1977 11 1462.1
1977 10 6660·8
1977 09 4861.1
1977 08 9360.3
1977 07 3061.0
1977 06 8761.2
1977 05 1361.5
1977 04 3161.4
1977 03 1760.9
1977 02 9962.4
1977 01 8661.9
1976 12 1462.6
1976 11 3060.7
1976 10 9160·1
1976 09 8560.5
1976 08 9259·6
1976 07 5260·9
1976 06 7460.2
1976 05 5560.3
1976 04 3961.0
1976 03 8959.5
1976 02 8761.7
1976 01 6661.7
1975 12 5861.1
1975 11 7159·6
1975 10 9260.5
1975 09 1060·6
1975 08 7360·7
1975 07 5860·5
1975 06 7859·8
1975 05 862·0
1975 04 3461.0
1975 03 2860.2
1975 02 5861·3
1975 01 462.4
1974 12 1662·1
1974 11 9160·6
1974 10 6959.9
1974 09 6660·4
1974 08 2160·6
1974 07 7663.0
1974 06 7461.9
1974 05 8961·7
1974 04 7461.2
1974 03 4159·8
1974 02 6261.0
1974 01 9261.3
1973 12 2561.2
1973 11 6860·7
1973 10 4460.0
1973 09 1959·5
1973 08 4858·4
1973 07 6259·8
1973 06 6059·7
1973 05 3959·3
1973 04 4660.0
1973 03 5659.0
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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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