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2012 04 9161·1
2012 03 4461·6
2012 02 7261·2
2012 01 960·8
2011 12 1461·5
2011 11 4661·2
2011 10 6761.7
2011 09 7061·8
2011 08 2862.0
2011 07 7061·4
2011 06 8861.8
2011 05 5460·9
2011 04 8361.2
2011 03 061.0
2011 02 4761.0
2011 01 761.3
2010 12 5661.7
2010 11 4262.3
2010 10 8362.1
2010 09 9661·5
2010 08 4662·6
2010 07 2762·9
2010 06 5962.6
2010 05 1662·6
2010 04 7962.4
2010 03 1262·2
2010 02 6261.6
2010 01 8662·1
2009 12 661·5
2009 11 7962·0
2009 10 561·7
2009 09 5161.5
2009 08 162.4
2009 07 3464·0
2009 06 2763.5
2009 05 7962.6
2009 04 6562·8
2009 03 962.0
2009 02 9062.4
2009 01 6562·8
2008 12 2363·2
2008 11 6163.1
2008 10 8263.6
2008 09 2863·6
2008 08 2764·7
2008 07 7065·0
2008 06 1664.4
2008 05 1263·6
2008 04 5163·6
2008 03 4563.5
2008 02 2962·9
2008 01 8563.3
2007 12 9563.2
2007 11 1663·2
2007 10 8663·4
2007 09 4363.5
2007 08 8564·0
2007 07 4165.1
2007 06 7364.4
2007 05 563.3
2007 04 7263.4
2007 03 063·3
2007 02 363.3
2007 01 1363·8
2006 12 3164.4
2006 11 164·3
2006 10 1564·3
2006 09 3963.6
2006 08 6164.6
2006 07 7465.4
2006 06 7164·7
2006 05 7564·0
2006 04 9063·8
2006 03 7864.1
2006 02 5963.6
2006 01 4162.6
2005 12 6663·6
2005 11 9364.4
2005 10 9364.7
2005 09 8164·3
2005 08 6664·9
2005 07 2565·8
2005 06 965·6
2005 05 6464.2
2005 04 8963·5
2005 03 863.2
2005 02 7162.8
2005 01 8562.9
2004 12 6263.8
2004 11 9664·1
2004 10 6764·5
2004 09 6263.9
2004 08 3464·3
2004 07 7365.2
2004 06 964·1
2004 05 4063.0
2004 04 8163·1
2004 03 4463·7
2004 02 3662.8
2004 01 8763·5
2003 12 463.4
2003 11 4264.2
2003 10 1064·2
2003 09 9964·4
2003 08 2764.6
2003 07 2265·3
2003 06 2065·6
2003 05 9364.6
2003 04 164·2
2003 03 6763.7
2003 02 7863.8
2003 01 1563·8
2002 12 264.9
2002 11 8264·4
2002 10 2264·8
2002 09 3364.9
2002 08 3064·7
2002 07 165·0
2002 06 1465.3
2002 05 4165.0
2002 04 964·8
2002 03 7964·6
2002 02 4464·4
2002 01 5964·4
2001 12 9265.3
2001 11 9864·9
2001 10 2365·0
2001 09 3165.1
2001 08 5365.5
2001 07 6566·3
2001 06 9066.1
2001 05 2665.1
2001 04 9265.0
2001 03 1165.5
2001 02 864·8
2001 01 3765.2
2000 12 3565.8
2000 11 9366.1
2000 10 6465.5
2000 09 8564·8
2000 08 3265.7
2000 07 9266·5
2000 06 7166.3
2000 05 1365.7
2000 04 5965·6
2000 03 1665.9
2000 02 6766.3
2000 01 9165.8
1999 12 1565.8
1999 11 9666·2
1999 10 1666.1
1999 09 1266·1
1999 08 2866·2
1999 07 8867·3
1999 06 466·3
1999 05 9665·5
1999 04 4665.2
1999 03 7565.2
1999 02 4664.8
1999 01 8765.3
1998 12 4565·7
1998 11 6266·1
1998 10 7866·2
1998 09 5365.4
1998 08 2666.1
1998 07 8267.3
1998 06 6466·5
1998 05 9064.6
1998 04 1364·9
1998 03 9165·4
1998 02 9164.5
1998 01 1664·2
1997 12 5864·9
1997 11 7064.7
1997 10 7364.8
1997 09 7665·2
1997 08 3666·4
1997 07 2766·1
1997 06 4765·1
1997 05 3864.2
1997 04 4763·8
1997 03 9364.1
1997 02 7663.5
1997 01 9763·5
1996 12 1664.1
1996 11 2564.4
1996 10 4864.8
1996 09 7263.9
1996 08 9565.4
1996 07 466.0
1996 06 7664.6
1996 05 764·0
1996 04 5863.4
1996 03 3763·4
1996 02 9962.4
1996 01 7163.0
1995 12 563·6
1995 11 5564.2
1995 10 7764.0
1995 09 5863.4
1995 08 6264.0
1995 07 1664.8
1995 06 164.6
1995 05 8763.5
1995 04 8063.8
1995 03 063.3
1995 02 8263.3
1995 01 362.5
1994 12 3462·8
1994 11 1563.3
1994 10 5964·0
1994 09 7563.0
1994 08 2463.9
1994 07 9264·7
1994 06 9464·6
1994 05 9763·2
1994 04 7662.9
1994 03 8863·1
1994 02 7562·6
1994 01 8762·5
1993 12 4062.6
1993 11 8563.2
1993 10 1562.8
1993 09 9162.9
1993 08 9164.2
1993 07 8865·0
1993 06 5264·4
1993 05 7763·0
1993 04 3062.3
1993 03 3062·3
1993 02 5062·8
1993 01 4062·4
1992 12 8263.3
1992 11 6863.7
1992 10 9563·8
1992 09 9764.1
1992 08 9865·7
1992 07 8266·4
1992 06 065.8
1992 05 9563.6
1992 04 5362·7
1992 03 8062·8
1992 02 462·5
1992 01 162·9
1991 12 4762.9
1991 11 9362.7
1991 10 7063.1
1991 09 1163·7
1991 08 663.6
1991 07 7964.9
1991 06 8564·3
1991 05 4262.8
1991 04 8063·1
1991 03 1763.3
1991 02 6262·3
1991 01 4062.8
1990 12 4563·4
1990 11 1664·2
1990 10 4063·7
1990 09 7363·5
1990 08 164·3
1990 07 765·4
1990 06 8064.7
1990 05 3664·1
1990 04 7363·4
1990 03 4663·8
1990 02 7163·4
1990 01 4763.8
1989 12 1263·7
1989 11 1664.4
1989 10 2664.0
1989 09 5163·9
1989 08 9365·0
1989 07 2266·4
1989 06 8365·4
1989 05 1763·7
1989 04 1662.6
1989 03 9663.3
1989 02 463.6
1989 01 3963.6
1988 12 764.1
1988 11 9664·1
1988 10 7864·0
1988 09 3763·5
1988 08 1765.0
1988 07 266·1
1988 06 1764·0
1988 05 5363.2
1988 04 2062·8
1988 03 2262·8
1988 02 6063·0
1988 01 5963·1
1987 12 1764·0
1987 11 8664.3
1987 10 6864·3
1987 09 4763·7
1987 08 3465·7
1987 07 5266·1
1987 06 3164·6
1987 05 3663.3
1987 04 2162·3
1987 03 262·7
1987 02 6162·8
1987 01 7262·2
1986 12 5362·5
1986 11 4163·1
1986 10 9563.3
1986 09 2263·1
1986 08 3063.7
1986 07 165.2
1986 06 9765.0
1986 05 8263.7
1986 04 7963.2
1986 03 4062·7
1986 02 5562.0
1986 01 7162.0
1985 12 4962·8
1985 11 3962.8
1985 10 8162·8
1985 09 3162.9
1985 08 1663·9
1985 07 465·0
1985 06 1363·8
1985 05 3462·7
1985 04 8062·2
1985 03 6761·9
1985 02 1561·8
1985 01 7261·8
1984 12 6662·4
1984 11 8562·8
1984 10 7462·7
1984 09 6562.4
1984 08 2664.3
1984 07 3964·8
1984 06 363·3
1984 05 5761.6
1984 04 3460·7
1984 03 3660·7
1984 02 4060·6
1984 01 1759.8
1983 12 9060·6
1983 11 860.8
1983 10 4860.9
1983 09 4061·9
1983 08 2163·3
1983 07 1264.3
1983 06 1463·4
1983 05 4461·0
1983 04 7760.5
1983 03 2860·6
1983 02 5260.5
1983 01 7460·7
1982 12 3261·1
1982 11 6361.1
1982 10 061.3
1982 09 9861·3
1982 08 8862·5
1982 07 5063·2
1982 06 2061·8
1982 05 1160.3
1982 04 6959·4
1982 03 4560·0
1982 02 059·8
1982 01 3359·8
1981 12 2660.5
1981 11 2961·0
1981 10 5461·4
1981 09 660.6
1981 08 3561·8
1981 07 962·5
1981 06 1861·8
1981 05 160.4
1981 04 9660.4
1981 03 1760·2
1981 02 5759·6
1981 01 1259.9
1980 12 3460.5
1980 11 1061.1
1980 10 5761·4
1980 09 5760.7
1980 08 062·4
1980 07 6863·8
1980 06 3262.0
1980 05 8060·3
1980 04 6959·6
1980 03 9959·6
1980 02 2060.0
1980 01 5260·1
1979 12 4160.9
1979 11 3561.1
1979 10 8361·9
1979 09 6661.2
1979 08 4262·7
1979 07 3163.9
1979 06 1062.8
1979 05 4060.2
1979 04 2360.3
1979 03 7060·8
1979 02 1360.7
1979 01 2060.0
1978 12 5861·2
1978 11 5961·7
1978 10 3061·6
1978 09 7561·4
1978 08 4862·7
1978 07 2863.9
1978 06 2463.2
1978 05 9860·6
1978 04 1860·4
1978 03 3560.6
1978 02 8360.2
1978 01 960·1
1977 12 1960.9
1977 11 6160·3
1977 10 2059.7
1977 09 5259.5
1977 08 2761.7
1977 07 1361·8
1977 06 7361.6
1977 05 9558·5
1977 04 4058·3
1977 03 2258·7
1977 02 558.6
1977 01 3458.1
1976 12 8658.9
1976 11 4559.4
1976 10 358·5
1976 09 8758·3
1976 08 1560.8
1976 07 6461·3
1976 06 8060.4
1976 05 9957·9
1976 04 158·6
1976 03 8558·4
1976 02 7558.0
1976 01 3857·9
1975 12 4558.1
1975 11 4158·4
1975 10 5058·5
1975 09 9958·6
1975 08 7260.5
1975 07 8761.2
1975 06 9360·5
1975 05 157·9
1975 04 3457·7
1975 03 558·4
1975 02 1757.8
1975 01 8758.2
1974 12 558·6
1974 11 359.4
1974 10 5960.2
1974 09 2859·6
1974 08 8661.0
1974 07 1062·3
1974 06 8461.2
1974 05 1759·1
1974 04 158·8
1974 03 8659·0
1974 02 7859·1
1974 01 7459·5
1973 12 259.9
1973 11 1060.5
1973 10 5560·6
1973 09 4259·9
1973 08 6462·0
1973 07 8963.4
1973 06 5361·3
1973 05 9058.8
1973 04 8859.4
1973 03 5659·5
1973 02 3359·0
1973 01 1457.6
1972 12 9859·6
1972 11 6660.1
1972 10 8559.7
1972 09 3259.4
1972 08 4561·6
1972 07 262.6
1972 06 2162.2
1972 05 8759·2
1972 04 458.8
1972 03 7059.3
1972 02 7958·7
1972 01 5058·1
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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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