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2012 04 5663.2
2012 03 2063·9
2012 02 6163.8
2012 01 263·9
2011 12 8765.2
2011 11 6564.2
2011 10 8464.2
2011 09 2564·3
2011 08 4864.6
2011 07 7063.6
2011 06 7064.2
2011 05 963·7
2011 04 8764.3
2011 03 1964·4
2011 02 3263·9
2011 01 9864.1
2010 12 8264.4
2010 11 1764·9
2010 10 964·8
2010 09 6264·6
2010 08 3165·2
2010 07 9564.7
2010 06 6264.8
2010 05 9565·6
2010 04 6165·4
2010 03 1166.0
2010 02 8164.9
2010 01 1565·0
2009 12 2164·6
2009 11 4765·1
2009 10 7764.6
2009 09 6764.1
2009 08 8864·7
2009 07 865·1
2009 06 8964.9
2009 05 2065·5
2009 04 6265·9
2009 03 2665.0
2009 02 8065·8
2009 01 6865·9
2008 12 6766.2
2008 11 5965·6
2008 10 3866·7
2008 09 3167·1
2008 08 5467·5
2008 07 8766·9
2008 06 7466.9
2008 05 5266·6
2008 04 066·3
2008 03 1866.6
2008 02 2866·9
2008 01 067·6
2007 12 366·4
2007 11 8366·5
2007 10 6366·1
2007 09 7166·6
2007 08 9067.0
2007 07 3867·2
2007 06 6566.1
2007 05 8266·5
2007 04 1167.0
2007 03 6666.8
2007 02 4967.3
2007 01 7867·6
2006 12 4267·1
2006 11 7367·1
2006 10 5167·0
2006 09 2866·4
2006 08 8266·7
2006 07 9067.1
2006 06 3566.6
2006 05 2667·7
2006 04 5767·7
2006 03 7567.7
2006 02 8867·3
2006 01 9265.6
2005 12 1766.2
2005 11 867·0
2005 10 2567·1
2005 09 7067.4
2005 08 3968·2
2005 07 9768·3
2005 06 8168.4
2005 05 2867.8
2005 04 2167·4
2005 03 7366.7
2005 02 2166·5
2005 01 6166·4
2004 12 9167·0
2004 11 9267·5
2004 10 3367.2
2004 09 8866·9
2004 08 9766·8
2004 07 3866.3
2004 06 2866·3
2004 05 5365.9
2004 04 1665.6
2004 03 1566·8
2004 02 4566.0
2004 01 2567·8
2003 12 4766·8
2003 11 5666·9
2003 10 4867·3
2003 09 9967.7
2003 08 1766·9
2003 07 1767·3
2003 06 2367.7
2003 05 9367·6
2003 04 7667·5
2003 03 8066.7
2003 02 8368.2
2003 01 5267.4
2002 12 9867.1
2002 11 5266.7
2002 10 6868·4
2002 09 4568.7
2002 08 8567.9
2002 07 6467·6
2002 06 3868·5
2002 05 6669.7
2002 04 6169.3
2002 03 7369.3
2002 02 8368.9
2002 01 3369.2
2001 12 7869·0
2001 11 6167·7
2001 10 1667·7
2001 09 9268·7
2001 08 1168.6
2001 07 3468·3
2001 06 7367·9
2001 05 1268.1
2001 04 5968·7
2001 03 2368·8
2001 02 1868.9
2001 01 8669·4
2000 12 4869.2
2000 11 8769·1
2000 10 4068·8
2000 09 3368.2
2000 08 3068·8
2000 07 568·6
2000 06 5069·0
2000 05 9968.9
2000 04 7869.5
2000 03 8566.2
2000 02 8767·1
2000 01 5167.0
1999 12 9468·9
1999 11 5868·8
1999 10 1369·6
1999 09 8568·9
1999 08 368·3
1999 07 8168.2
1999 06 1768.6
1999 05 1868·9
1999 04 5568.0
1999 03 3668.2
1999 02 1168.4
1999 01 9669·5
1998 12 2668·5
1998 11 3069.3
1998 10 3469.7
1998 09 8869.2
1998 08 1668·9
1998 07 9369.8
1998 06 4869·7
1998 05 8768·2
1998 04 5069.0
1998 03 8369.0
1998 02 4068.1
1998 01 1368·5
1997 12 8067·8
1997 11 8168·2
1997 10 2568.5
1997 09 1069·0
1997 08 7970.0
1997 07 9468·3
1997 06 3968·7
1997 05 4767·8
1997 04 4967.8
1997 03 5467·9
1997 02 4767·8
1997 01 1868·1
1996 12 1567.9
1996 11 1668·9
1996 10 3468·8
1996 09 4368.6
1996 08 2869·6
1996 07 6469·3
1996 06 1668·2
1996 05 6569.0
1996 04 6268.5
1996 03 368·8
1996 02 2868·3
1996 01 5468.4
1995 12 1968.2
1995 11 6568·2
1995 10 3568.1
1995 09 368.7
1995 08 2368·7
1995 07 668.5
1995 06 2469·3
1995 05 3269.2
1995 04 2570·0
1995 03 969.5
1995 02 870·2
1995 01 8669.5
1994 12 169.4
1994 11 8069.4
1994 10 2569·6
1994 09 3268·5
1994 08 5068.4
1994 07 5168·6
1994 06 3868.9
1994 05 6669·8
1994 04 9869.1
1994 03 7868.9
1994 02 3569.3
1994 01 768·9
1993 12 9667·8
1993 11 4369.0
1993 10 2868·4
1993 09 9869.4
1993 08 1970.1
1993 07 5269.9
1993 06 5569.8
1993 05 970.1
1993 04 6769.6
1993 03 3870·1
1993 02 8170.8
1993 01 3370·1
1992 12 6669·8
1992 11 5770.4
1992 10 9170.6
1992 09 9170·8
1992 08 6671.2
1992 07 9070.9
1992 06 9971·2
1992 05 2670·7
1992 04 4370.2
1992 03 4470·7
1992 02 4470.8
1992 01 770.9
1991 12 9670·3
1991 11 5169·7
1991 10 8870·1
1991 09 2970.8
1991 08 5269.9
1991 07 6770.3
1991 06 1870·6
1991 05 1069·7
1991 04 6071.1
1991 03 7471.5
1991 02 4871.0
1991 01 9570.4
1990 12 9771·1
1990 11 7971·5
1990 10 1671.2
1990 09 5371.1
1990 08 6271·0
1990 07 1471.0
1990 06 8470.7
1990 05 7871·1
1990 04 8071.0
1990 03 3471·1
1990 02 4171.0
1990 01 8971·1
1989 12 370·9
1989 11 2270·9
1989 10 9970.7
1989 09 3170·5
1989 08 671·0
1989 07 8471.2
1989 06 9671·4
1989 05 7170.7
1989 04 8870.3
1989 03 5270·9
1989 02 9571.5
1989 01 671.4
1988 12 7670.9
1988 11 8370.8
1988 10 8571.2
1988 09 5370.7
1988 08 2071·4
1988 07 5770.8
1988 06 7770·6
1988 05 5771·3
1988 04 9571·2
1988 03 8370.5
1988 02 1071·2
1988 01 8771.1
1987 12 270·9
1987 11 9171·1
1987 10 4670.8
1987 09 3770·9
1987 08 6572.0
1987 07 3871·5
1987 06 7470.8
1987 05 2771.1
1987 04 3670.6
1987 03 670·8
1987 02 770·9
1987 01 071.0
1986 12 8970.8
1986 11 170.7
1986 10 8271·1
1986 09 2570·9
1986 08 2670.0
1986 07 5571·3
1986 06 6271.9
1986 05 9772.0
1986 04 7171.6
1986 03 2571.6
1986 02 3571.0
1986 01 3571·3
1985 12 7671·1
1985 11 9370.7
1985 10 1471.2
1985 09 8371.3
1985 08 1470.7
1985 07 6470·8
1985 06 3770·3
1985 05 1070·5
1985 04 8770·5
1985 03 7070·4
1985 02 6670·9
1985 01 1170.7
1984 12 2071·2
1984 11 6971.0
1984 10 9171·2
1984 09 470·8
1984 08 6471·0
1984 07 4270.9
1984 06 2370·5
1984 05 3370.5
1984 04 9470·0
1984 03 9570·7
1984 02 071·1
1984 01 6870.3
1983 12 1070·1
1983 11 6170.4
1983 10 8669·7
1983 09 370·6
1983 08 3771.1
1983 07 9571.4
1983 06 6871·6
1983 05 5770.4
1983 04 2770.4
1983 03 8070·1
1983 02 5970·1
1983 01 7470.9
1982 12 5470·8
1982 11 2170.9
1982 10 9770·4
1982 09 2370·2
1982 08 1969·8
1982 07 5269.7
1982 06 4569·2
1982 05 9969.9
1982 04 4769·8
1982 03 2770·0
1982 02 9170.3
1982 01 2070.0
1981 12 8870.1
1981 11 3069.8
1981 10 4770.0
1981 09 3169.9
1981 08 1969.7
1981 07 6769·1
1981 06 5269.3
1981 05 171·1
1981 04 3970.7
1981 03 6870·2
1981 02 6870·0
1981 01 2370.6
1980 12 7470·1
1980 11 9270·7
1980 10 8470.8
1980 09 1871.0
1980 08 7470.7
1980 07 1971.2
1980 06 1270.5
1980 05 2970·5
1980 04 1470.6
1980 03 5670·1
1980 02 9070·7
1980 01 2671·2
1979 12 9670.9
1979 11 3570·9
1979 10 8171.9
1979 09 272.0
1979 08 4372.1
1979 07 1371.9
1979 06 7371·7
1979 05 7671.4
1979 04 871·3
1979 03 7071·9
1979 02 7971.9
1979 01 9371·4
1978 12 6571.8
1978 11 1572·2
1978 10 3771·5
1978 09 2371.3
1978 08 1470·6
1978 07 7771.8
1978 06 971·6
1978 05 5871.8
1978 04 8172.0
1978 03 1572·0
1978 02 8471·8
1978 01 1972·1
1977 12 1671.7
1977 11 1071·3
1977 10 7470·6
1977 09 4970.0
1977 08 9571·7
1977 07 6870·6
1977 06 1771.2
1977 05 1770.2
1977 04 1870·0
1977 03 2071·0
1977 02 7671.1
1977 01 1970.7
1976 12 1171.1
1976 11 2570·8
1976 10 4070.2
1976 09 7170.2
1976 08 2370.7
1976 07 6269·8
1976 06 2069·9
1976 05 2070.0
1976 04 3170·3
1976 03 4069·3
1976 02 5569.9
1976 01 3470·1
1975 12 3470·1
1975 11 8970.4
1975 10 870.6
1975 09 771.6
1975 08 5971·4
1975 07 6671.0
1975 06 6671.2
1975 05 5970.9
1975 04 5570·7
1975 03 5371·3
1975 02 4371.3
1975 01 3372.2
1974 12 9772.1
1974 11 5672·7
1974 10 7773·2
1974 09 9972.6
1974 08 8772.1
1974 07 772.1
1974 06 2972·8
1974 05 5072.8
1974 04 4973·0
1974 03 6474.1
1974 02 8974.4
1974 01 675.0
1973 12 3573·7
1973 11 673.7
1973 10 6973·9
1973 09 1273.1
1973 08 1873·1
1973 07 4273·8
1973 06 673.0
1973 05 3573.3
1973 04 173·9
1973 03 273.9
1973 02 6573·6
1973 01 7172·2
1972 12 773.5
1972 11 4373·3
1972 10 3273.1
1972 09 3873·4
1972 08 8974.2
1972 07 4873·9
1972 06 2174.7
1972 05 8173·9
1972 04 2073·6
1972 03 2173.7
1972 02 6973·7
1972 01 6972·7
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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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