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2012 04 3266·2
2012 03 1166·1
2012 02 9766·4
2012 01 9166.0
2011 12 2166.8
2011 11 1566·8
2011 10 567·1
2011 09 5166·6
2011 08 9566.7
2011 07 3666.5
2011 06 3366.5
2011 05 2966·0
2011 04 566·2
2011 03 5666.1
2011 02 9365·7
2011 01 6866·8
2010 12 2567.1
2010 11 8267.3
2010 10 2467.0
2010 09 3867·6
2010 08 5767.5
2010 07 4567.9
2010 06 8867.5
2010 05 3267·4
2010 04 2667·3
2010 03 167.8
2010 02 7467.7
2010 01 7167·7
2009 12 8167·3
2009 11 3368·0
2009 10 9367.7
2009 09 9867·7
2009 08 9967.9
2009 07 4768.9
2009 06 8568·2
2009 05 8268·1
2009 04 8068·3
2009 03 7468·1
2009 02 1167·8
2009 01 1767.5
2008 12 4968·1
2008 11 7268.0
2008 10 6168.4
2008 09 2368.5
2008 08 5769·0
2008 07 2269.0
2008 06 4669.1
2008 05 4469·1
2008 04 7968·6
2008 03 3168.4
2008 02 468·2
2008 01 4868.1
2007 12 1568.7
2007 11 3069.0
2007 10 9968.8
2007 09 3168·8
2007 08 9069·3
2007 07 7669.2
2007 06 1868·8
2007 05 1068.7
2007 04 5668.8
2007 03 5068·7
2007 02 7568·4
2007 01 3168·8
2006 12 8869·3
2006 11 6069·0
2006 10 668·7
2006 09 6268·0
2006 08 8568.4
2006 07 3669·0
2006 06 7669.5
2006 05 9868.7
2006 04 7468·8
2006 03 3668.5
2006 02 7268·5
2006 01 5768·4
2005 12 568·5
2005 11 4168·6
2005 10 668.2
2005 09 8467.8
2005 08 5368.3
2005 07 5768.3
2005 06 1768.3
2005 05 4868.1
2005 04 1868·1
2005 03 1767.8
2005 02 6867·5
2005 01 4466.9
2004 12 2668·2
2004 11 7768.5
2004 10 4668·8
2004 09 8968.5
2004 08 2769.0
2004 07 1969·5
2004 06 6469.1
2004 05 2968.8
2004 04 9768.4
2004 03 4968·6
2004 02 6167.4
2004 01 3267.8
2003 12 3667·7
2003 11 9968·0
2003 10 9967.9
2003 09 9367.7
2003 08 7068.0
2003 07 2668·3
2003 06 6668·8
2003 05 3168·1
2003 04 4868.9
2003 03 1168.6
2003 02 7568.8
2003 01 8968·7
2002 12 4768·6
2002 11 6068.7
2002 10 6369·0
2002 09 3869.1
2002 08 6669·2
2002 07 769.7
2002 06 9569·3
2002 05 7168·7
2002 04 3269.4
2002 03 669.1
2002 02 5769.4
2002 01 769·0
2001 12 9469·5
2001 11 4069·0
2001 10 6269.9
2001 09 9169·2
2001 08 2769.3
2001 07 1669.4
2001 06 4969·0
2001 05 9169·1
2001 04 3369·8
2001 03 6570·4
2001 02 8069.9
2001 01 369.4
2000 12 3669.9
2000 11 4369·5
2000 10 4369·6
2000 09 4469.9
2000 08 8869·4
2000 07 3369·3
2000 06 5270.2
2000 05 5969·6
2000 04 6269·8
2000 03 4170·1
2000 02 4369·7
2000 01 1769.7
1999 12 6168·0
1999 11 9867.6
1999 10 8067·8
1999 09 1367·7
1999 08 968·2
1999 07 6268.0
1999 06 5168·0
1999 05 6567·3
1999 04 5667.2
1999 03 1367.8
1999 02 6867·7
1999 01 1867.4
1998 12 7867·7
1998 11 5967.4
1998 10 7068.2
1998 09 4068·3
1998 08 7568.2
1998 07 3268·4
1998 06 1968.6
1998 05 2768·3
1998 04 7367·8
1998 03 8768.2
1998 02 467.5
1998 01 9666.9
1997 12 2367·8
1997 11 767.9
1997 10 3768.2
1997 09 9367·8
1997 08 9868.7
1997 07 9869·1
1997 06 5668·2
1997 05 8667.4
1997 04 166.5
1997 03 9167.7
1997 02 2367·4
1997 01 6968·0
1996 12 5667.4
1996 11 4468.1
1996 10 2867.6
1996 09 6266.7
1996 08 1467.3
1996 07 3867·0
1996 06 8266·0
1996 05 965.3
1996 04 4965.1
1996 03 8065·8
1996 02 2465.9
1996 01 7865.5
1995 12 6365.5
1995 11 165.6
1995 10 1766·5
1995 09 6566.4
1995 08 8166·6
1995 07 5867·2
1995 06 4866·3
1995 05 8865·4
1995 04 5365.3
1995 03 3365.4
1995 02 3064.9
1995 01 9165.0
1994 12 5565·7
1994 11 3266.6
1994 10 166.7
1994 09 4465.8
1994 08 8766.3
1994 07 8667.2
1994 06 2566.3
1994 05 4066.2
1994 04 7465.7
1994 03 5466·3
1994 02 8865.5
1994 01 9965.0
1993 12 6766·2
1993 11 1566·1
1993 10 566.6
1993 09 6466.1
1993 08 4166·4
1993 07 7767·4
1993 06 1266.6
1993 05 665.7
1993 04 9765·5
1993 03 7266.6
1993 02 7365.8
1993 01 1865·6
1992 12 6066.2
1992 11 5666.1
1992 10 7566·4
1992 09 1967.0
1992 08 8067.5
1992 07 1168.5
1992 06 3267.9
1992 05 5467·0
1992 04 3366·4
1992 03 4367·2
1992 02 8166·2
1992 01 9165.7
1991 12 1865·5
1991 11 8466·1
1991 10 8566·6
1991 09 2566.6
1991 08 6367·4
1991 07 9068·4
1991 06 3267·4
1991 05 7566·4
1991 04 1666.3
1991 03 4465.9
1991 02 3565.4
1991 01 8465·7
1990 12 5465.6
1990 11 5266·1
1990 10 3366·6
1990 09 2367·3
1990 08 7669.1
1990 07 4569·2
1990 06 8668·8
1990 05 8568.2
1990 04 967·5
1990 03 8167·3
1990 02 8566·6
1990 01 9066·6
1989 12 267.1
1989 11 4167.8
1989 10 4167.0
1989 09 8167.2
1989 08 3168·5
1989 07 3169·2
1989 06 9368.3
1989 05 2868.0
1989 04 9667·3
1989 03 8366.7
1989 02 367.1
1989 01 2567.2
1988 12 2266·9
1988 11 5468.2
1988 10 5967.7
1988 09 9067·7
1988 08 6167·9
1988 07 2568.4
1988 06 7468·6
1988 05 6966.5
1988 04 8766.3
1988 03 366.1
1988 02 8667·7
1988 01 3066·8
1987 12 266·4
1987 11 2067.4
1987 10 5966.9
1987 09 6766·3
1987 08 2967·2
1987 07 3366·6
1987 06 7966.7
1987 05 066·4
1987 04 2065·9
1987 03 2265·4
1987 02 5965.6
1987 01 7365.7
1986 12 4965·7
1986 11 9566·0
1986 10 3866.1
1986 09 5466.0
1986 08 1966.7
1986 07 8467.2
1986 06 7966·5
1986 05 3964.5
1986 04 5364·5
1986 03 4464·4
1986 02 6964.2
1986 01 4563·3
1985 12 263·5
1985 11 5864·6
1985 10 2165·5
1985 09 1865.6
1985 08 4266·3
1985 07 3266.0
1985 06 7465.1
1985 05 2663·7
1985 04 7263.8
1985 03 9764.2
1985 02 8963·6
1985 01 6463.3
1984 12 1965.2
1984 11 1265.2
1984 10 5565.3
1984 09 5065·3
1984 08 3366·1
1984 07 5666.3
1984 06 8565.9
1984 05 2964.4
1984 04 8964·0
1984 03 3764·4
1984 02 1763·0
1984 01 7063·8
1983 12 8763.2
1983 11 8764·0
1983 10 1363.5
1983 09 6764.0
1983 08 5465·2
1983 07 6164.8
1983 06 6264.9
1983 05 3963·2
1983 04 3863·4
1983 03 4262·8
1983 02 7663·1
1983 01 3163.0
1982 12 1762·7
1982 11 3763·3
1982 10 9463·4
1982 09 1162·9
1982 08 8964·2
1982 07 7664·3
1982 06 7764.0
1982 05 7464.5
1982 04 8163.9
1982 03 1863.9
1982 02 1563.8
1982 01 3962·9
1981 12 4263.0
1981 11 4264·3
1981 10 2063.9
1981 09 5063·1
1981 08 4964·7
1981 07 5665·5
1981 06 2965.1
1981 05 7564·6
1981 04 264·0
1981 03 9263.3
1981 02 664·5
1981 01 1063·7
1980 12 2563.3
1980 11 664.0
1980 10 3964·0
1980 09 7363·2
1980 08 7065·0
1980 07 7965.7
1980 06 4064.6
1980 05 963.8
1980 04 1263·6
1980 03 1963·7
1980 02 4763·4
1980 01 8664.2
1979 12 5164·3
1979 11 5763.6
1979 10 2463·9
1979 09 063.2
1979 08 1364.1
1979 07 5064.6
1979 06 5863·8
1979 05 6862·2
1979 04 4762·9
1979 03 8063·1
1979 02 6263·8
1979 01 3563.5
1978 12 3064·3
1978 11 5264·4
1978 10 7465·0
1978 09 7062·9
1978 08 6264·1
1978 07 9964·0
1978 06 5763·7
1978 05 6862.0
1978 04 6861.2
1978 03 7762·0
1978 02 9860.6
1978 01 4760·9
1977 12 9861.8
1977 11 6861.8
1977 10 1161.7
1977 09 5161·9
1977 08 2862·5
1977 07 7863.1
1977 06 3462.8
1977 05 5160.5
1977 04 5960.5
1977 03 4060.4
1977 02 2960.6
1977 01 3959.9
1976 12 1561.3
1976 11 1060.4
1976 10 8460.9
1976 09 3661·2
1976 08 4861.6
1976 07 6963·0
1976 06 1361·9
1976 05 8459.4
1976 04 3260·2
1976 03 2459·2
1976 02 5259·9
1976 01 5459.7
1975 12 6860.0
1975 11 759·4
1975 10 6660·9
1975 09 3961·2
1975 08 8162·6
1975 07 7562·5
1975 06 4161.5
1975 05 5961·1
1975 04 2260.3
1975 03 860·3
1975 02 9159.5
1975 01 5860.2
1974 12 6561·0
1974 11 1560·5
1974 10 5460.4
1974 09 561.1
1974 08 1362.5
1974 07 2564·8
1974 06 9263.6
1974 05 9361·3
1974 04 8960.5
1974 03 9760·0
1974 02 9459.0
1974 01 4358·9
1973 12 4460·1
1973 11 1160·6
1973 10 7260·3
1973 09 9860.0
1973 08 5460·2
1973 07 7461·4
1973 06 6461·3
1973 05 2859.1
1973 04 1959·5
1973 03 1859·3
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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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