Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
1972 01 9569.4
1972 02 8470.3
1972 03 3771·4
1972 04 8171.7
1972 05 6971·1
1972 06 5468·1
1972 07 9268.9
1972 08 7069.4
1972 09 5370·0
1972 10 6670.1
1972 11 9367.5
1972 12 164.8
1973 01 9863.6
1973 02 266.7
1973 03 5066.1
1973 04 1967.9
1973 05 7867·9
1973 06 6969·3
1973 07 367·6
1973 08 9268.1
1973 09 9568.1
1973 10 9868.6
1973 11 1565·9
1973 12 1567·6
1974 01 7368.9
1974 02 4566.8
1974 03 7369.0
1974 04 768·6
1974 05 6367·5
1974 06 9366·7
1974 07 9065·5
1974 08 1365·1
1974 09 4163.9
1974 10 4866·2
1974 11 364.4
1974 12 065·1
1975 01 765·7
1975 02 4262·1
1975 03 7763.0
1975 04 6461.6
1975 05 8663.6
1975 06 3163.7
1975 07 9963.8
1975 08 2461.9
1975 09 2863.2
1975 10 9764.4
1975 11 8163.4
1975 12 2364.2
1976 01 961.5
1976 02 4659.3
1976 03 6159.6
1976 04 3159·3
1976 05 3061.3
1976 06 1159·7
1976 07 457.7
1976 08 4260·5
1976 09 1663·1
1976 10 4864.5
1976 11 9563.2
1976 12 7563.2
1977 01 1662·6
1977 02 3861.2
1977 03 4962·0
1977 04 7462·7
1977 05 860.2
1977 06 8960.9
1977 07 360·0
1977 08 961.6
1977 09 9060·1
1977 10 3161.6
1977 11 2064.3
1977 12 7362·8
1978 01 8961·4
1978 02 2259.6
1978 03 8861.9
1978 04 8664.7
1978 05 5465·7
1978 06 4367.7
1978 07 1965·3
1978 08 9267·4
1978 09 6167.0
1978 10 164·6
1978 11 5366.4
1978 12 5968·0
1979 01 1162·6
1979 02 2760.2
1979 03 5157.8
1979 04 8357·2
1979 05 2959.8
1979 06 7861.2
1979 07 161.7
1979 08 8263.6
1979 09 6567.0
1979 10 3665.4
1979 11 1762·6
1979 12 059.2
1980 01 9556.0
1980 02 757.7
1980 03 3655.3
1980 04 755·3
1980 05 1956.0
1980 06 2357·4
1980 07 2158·2
1980 08 9660.2
1980 09 6259.6
1980 10 4060·4
1980 11 6059·6
1980 12 8860.0
1981 01 7658·1
1981 02 4157·5
1981 03 6658.1
1981 04 2558·4
1981 05 3458.8
1981 06 3258·3
1981 07 7758.9
1981 08 7758.8
1981 09 3858.3
1981 10 4457·7
1981 11 5659.2
1981 12 3857.2
1982 01 1354.4
1982 02 3555.9
1982 03 9053·5
1982 04 2855.6
1982 05 1056·3
1982 06 8558.3
1982 07 9357.5
1982 08 9056·7
1982 09 357.1
1982 10 155·9
1982 11 253.4
1982 12 9451·2
1983 01 9450.7
1983 02 1651·9
1983 03 8051.8
1983 04 3455.3
1983 05 756·8
1983 06 8658.6
1983 07 1660.0
1983 08 2957·3
1983 09 9358·6
1983 10 9158.9
1983 11 2156·4
1983 12 2252·2
1984 01 2851·1
1984 02 4053.6
1984 03 3552·9
1984 04 8453.3
1984 05 1153·1
1984 06 6452.6
1984 07 1952.2
1984 08 852.9
1984 09 6855.8
1984 10 1853.8
1984 11 6257·0
1984 12 1455.5
1985 01 5051·5
1985 02 8653·4
1985 03 7752.5
1985 04 4550·8
1985 05 3252.7
1985 06 7354·1
1985 07 152·5
1985 08 7155.1
1985 09 1454·1
1985 10 1258.7
1985 11 9858·1
1985 12 8657.1
1986 01 2254.8
1986 02 5850·5
1986 03 5453.7
1986 04 954·0
1986 05 658.1
1986 06 9355·4
1986 07 8453·4
1986 08 8454·2
1986 09 4253·6
1986 10 2555·3
1986 11 2656.0
1986 12 8152.9
1987 01 2955·4
1987 02 8554·0
1987 03 4158.0
1987 04 9358.7
1987 05 9458.1
1987 06 2960·9
1987 07 1759.0
1987 08 3956·6
1987 09 8658.1
1987 10 3960.7
1987 11 6960·3
1987 12 6455·6
1988 01 8154·4
1988 02 2256.2
1988 03 3355·2
1988 04 3856·8
1988 05 8057.8
1988 06 958.4
1988 07 7357.0
1988 08 5361·3
1988 09 857.2
1988 10 5755.7
1988 11 7653·4
1988 12 2952.5
1989 01 1549.4
1989 02 4848.5
1989 03 5652.5
1989 04 1151.9
1989 05 7752.3
1989 06 8750.8
1989 07 5051·9
1989 08 6752.2
1989 09 9353·8
1989 10 852·9
1989 11 2053.4
1989 12 9151·2
1990 01 9053.0
1990 02 6751·9
1990 03 5653·3
1990 04 454·0
1990 05 1855.3
1990 06 4455·1
1990 07 7055.0
1990 08 4855·3
1990 09 5257.0
1990 10 4754·9
1990 11 9957·4
1990 12 9355.7
1991 01 9254.4
1991 02 854.3
1991 03 756·3
1991 04 3458·8
1991 05 6554.1
1991 06 8358·4
1991 07 8260.3
1991 08 8952.5
1991 09 1956.2
1991 10 5455.0
1991 11 3653·7
1991 12 255·1
1992 01 3254·7
1992 02 2756·4
1992 03 758·1
1992 04 4257.5
1992 05 356·3
1992 06 3454.2
1992 07 5853.7
1992 08 553.0
1992 09 5753.7
1992 10 3153.9
1992 11 7854·6
1992 12 855.2
1993 01 4554.4
1993 02 156·0
1993 03 7852·1
1993 04 9653.7
1993 05 4353·2
1993 06 5053·7
1993 07 9852.8
1993 08 3953.2
1993 09 5051.3
1993 10 951·4
1993 11 9950.0
1993 12 2950·1
1994 01 9251.3
1994 02 3649.4
1994 03 7051·3
1994 04 8750·1
1994 05 2053.3
1994 06 1250·3
1994 07 2348.1
1994 08 5749·1
1994 09 852.8
1994 10 4354·3
1994 11 9749.5
1994 12 754.8
1995 01 5855.5
1995 02 6152.7
1995 03 5453.5
1995 04 3353.9
1995 05 9553·7
1995 06 2350·5
1995 07 8349·2
1995 08 5248.3
1995 09 6848·7
1995 10 1054.1
1995 11 9551·7
1995 12 952.0
1996 01 5453.0
1996 02 2951.0
1996 03 3052.8
1996 04 7351·9
1996 05 5351.3
1996 06 1351.1
1996 07 4953·2
1996 08 3952·8
1996 09 9053.3
1996 10 1653.3
1996 11 4154·6
1996 12 2654·4
1997 01 1649·7
1997 02 2247·9
1997 03 1951.0
1997 04 7753·6
1997 05 554·8
1997 06 3652.4
1997 07 2152·9
1997 08 6253.7
1997 09 5949·9
1997 10 9052.0
1997 11 954.7
1997 12 7551.7
1998 01 351·4
1998 02 4153.4
1998 03 7156.3
1998 04 3556·9
1998 05 8759·2
1998 06 7154·8
1998 07 2054.0
1998 08 8654·9
1998 09 8651.8
1998 10 8657.3
1998 11 9555·7
1998 12 9852·0
1999 01 250·3
1999 02 1850.2
1999 03 5852.1
1999 04 6453·6
1999 05 5950.7
1999 06 2350.4
1999 07 9650.8
1999 08 456.3
1999 09 757.4
1999 10 8356.4
1999 11 2457·2
1999 12 6154·2
2000 01 2352·7
2000 02 655.3
2000 03 7854.5
2000 04 656.9
2000 05 656.3
2000 06 2154·8
2000 07 2153·4
2000 08 3158·1
2000 09 8255.6
2000 10 8757.7
2000 11 4257.8
2000 12 5757.1
2001 01 157·8
2001 02 8459·5
2001 03 5456·3
2001 04 2755.1
2001 05 3956·1
2001 06 1952·8
2001 07 9456.2
2001 08 1154·3
2001 09 9756.5
2001 10 2554·8
2001 11 2456.5
2001 12 357.2
2002 01 9857·4
2002 02 5755.5
2002 03 3454·4
2002 04 2153·9
2002 05 9554·8
2002 06 9752·2
2002 07 3654.0
2002 08 1053.7
2002 09 6154.8
2002 10 5256·6
2002 11 6854.7
2002 12 3956.1
2003 01 9956·5
2003 02 5453·3
2003 03 9251·4
2003 04 252·3
2003 05 3251.5
2003 06 5952·4
2003 07 9751.1
2003 08 1954·2
2003 09 1253.9
2003 10 4955.7
2003 11 9555.2
2003 12 3356.7
2004 01 1357·7
2004 02 3054.3
2004 03 2557·3
2004 04 1453.3
2004 05 3752·6
2004 06 3453.5
2004 07 4950·2
2004 08 5652·1
2004 09 850·4
2004 10 1852.7
2004 11 5554·7
2004 12 7752.3
2005 01 7850·3
2005 02 6349.7
2005 03 5753.0
2005 04 2355.3
2005 05 2056·3
2005 06 7657.8
2005 07 9157.3
2005 08 6255.0
2005 09 3752·5
2005 10 8953·9
2005 11 2151.9
2005 12 8853·2
2006 01 5254·9
2006 02 5854·1
2006 03 3554·0
2006 04 2155·2
2006 05 1754.6
2006 06 6555·1
2006 07 4552·6
2006 08 449·8
2006 09 850·4
2006 10 1750·1
2006 11 9049·0
2006 12 754.0
2007 01 2351.0
2007 02 4550·2
2007 03 3251·0
2007 04 2452.3
2007 05 8951.9
2007 06 652.8
2007 07 6054.8
2007 08 7453.6
2007 09 5651.5
2007 10 8149.3
2007 11 8648·9
2007 12 151·7
2008 01 053.0
2008 02 7755.0
2008 03 4753.2
2008 04 7454.1
2008 05 2153·3
2008 06 2654.8
2008 07 851.8
2008 08 8850.5
2008 09 4450.0
2008 10 8548·3
2008 11 5650.5
2008 12 6251·1
2009 01 1951·6
2009 02 3452·6
2009 03 350.9
2009 04 3952·3
2009 05 2352.3
2009 06 8152.7
2009 07 8854.0
2009 08 8950.4
2009 09 5550.6
2009 10 5848·5
2009 11 7448.8
2009 12 648·5
2010 01 4147·8
2010 02 2049·5
2010 03 4752.3
2010 04 952.3
2010 05 3150·5
2010 06 5149.7
2010 07 2350·2
2010 08 4348.3
2010 09 049·3
2010 10 5548·1
2010 11 3749·8
2010 12 7650·6
2011 01 5046·8
2011 02 6547.9
2011 03 5349·7
2011 04 248·7
2011 05 549.3
2011 06 3849·0
2011 07 6049·2
2011 08 4249·3
2011 09 1649.5
2011 10 5549.1
2011 11 6945·9
2011 12 3851·0
2012 01 5849.0
2012 02 2351.7
2012 03 1953.7
2012 04 6050.5
2012 05 3250.4
2012 06 7353·1
2012 07 7350.0
2012 08 350·2
2012 09 6351·3
2012 10 6250.5
2012 11 1852.2
2012 12 8453.8
2013 01 154·6
2013 02 7254·4
2013 03 6857·0
2013 04 4953.9
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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
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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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