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2012 04 4252.3
2012 03 9553·0
2012 02 952.7
2012 01 2548·7
2011 12 752.5
2011 11 2154.3
2011 10 3749.9
2011 09 5147.3
2011 08 4447.0
2011 07 5247·4
2011 06 7146.3
2011 05 8253·7
2011 04 556.0
2011 03 7054.9
2011 02 2650.9
2011 01 6351·4
2010 12 6352·4
2010 11 8052·1
2010 10 3952·0
2010 09 6145.5
2010 08 2145·9
2010 07 1551·2
2010 06 7248.1
2010 05 7254·9
2010 04 257·9
2010 03 3254.5
2010 02 1551.1
2010 01 1549.4
2009 12 5853·4
2009 11 1154·1
2009 10 7848.8
2009 09 3351.8
2009 08 6544·7
2009 07 6047.8
2009 06 243.1
2009 05 9545.9
2009 04 2149.7
2009 03 1043.3
2009 02 4837.8
2009 01 9733·3
2008 12 5341·3
2008 11 1836·2
2008 10 435.6
2008 09 5733.3
2008 08 1128·7
2008 07 6627.8
2008 06 8327·0
2008 05 1927.4
2008 04 7135·3
2008 03 5929.9
2008 02 2325.8
2008 01 5226·6
2007 12 3326·1
2007 11 3127·6
2007 10 8827.6
2007 09 5027·7
2007 08 2232·0
2007 07 3628·5
2007 06 6426.7
2007 05 3428.9
2007 04 8830.6
2007 03 5828·4
2007 02 6527·9
2007 01 4624.5
2006 12 828.4
2006 11 325.6
2006 10 2827.4
2006 09 5627.6
2006 08 8129.2
2006 07 122.6
2006 06 1720·8
2006 05 5731.2
2006 04 3339.5
2006 03 1131·6
2006 02 1931.6
2006 01 7026·0
2005 12 1429.4
2005 11 1427·4
2005 10 4826·3
2005 09 3927·0
2005 08 025·5
2005 07 1527.1
2005 06 4123·7
2005 05 3232·3
2005 04 9035.2
2005 03 4834.7
2005 02 6135·8
2005 01 4332·4
2004 12 1226.8
2004 11 6831·9
2004 10 9633.5
2004 09 9227.4
2004 08 1426.7
2004 07 5728.5
2004 06 5927.9
2004 05 2329·1
2004 04 7233.2
2004 03 2236.0
2004 02 8732·1
2004 01 529·0
2003 12 8637.3
2003 11 9433.3
2003 10 4531·9
2003 09 3228·6
2003 08 8331·1
2003 07 3133·6
2003 06 1828·4
2003 05 2431.6
2003 04 1237.8
2003 03 1331·6
2003 02 2231·4
2003 01 2326·5
2002 12 4930·9
2002 11 4829.1
2002 10 9229.3
2002 09 124.4
2002 08 9427·4
2002 07 6726·9
2002 06 9325·0
2002 05 5027·2
2002 04 7231.6
2002 03 2629.0
2002 02 1225.5
2002 01 9023.4
2001 12 3528.1
2001 11 824·1
2001 10 6123.1
2001 09 6519·4
2001 08 5617.9
2001 07 1817.0
2001 06 8015.7
2001 05 4419.6
2001 04 3825·0
2001 03 8922.2
2001 02 3021·0
2001 01 2116.4
2000 12 421.0
2000 11 7817·8
2000 10 116.5
2000 09 1620·9
2000 08 618.1
2000 07 6519.5
2000 06 317·9
2000 05 7321.7
2000 04 1922.0
2000 03 5822.7
2000 02 7617.3
2000 01 6018·9
1999 12 4319.0
1999 11 8819·7
1999 10 8319·4
1999 09 7221·0
1999 08 417.0
1999 07 1117.1
1999 06 1019·6
1999 05 2722.5
1999 04 5222·6
1999 03 1019.4
1999 02 7220·3
1999 01 7116·3
1998 12 6220·5
1998 11 9226.2
1998 10 620·5
1998 09 7321·6
1998 08 3522·7
1998 07 8621.6
1998 06 7416·0
1998 05 2518.7
1998 04 9630.2
1998 03 5218·9
1998 02 6625.6
1998 01 4823.0
1997 12 9625·3
1997 11 6925.1
1997 10 9325·0
1997 09 8626.1
1997 08 1022.1
1997 07 4524.2
1997 06 9420.9
1997 05 828·1
1997 04 3835·9
1997 03 1125.1
1997 02 3128·4
1997 01 725·9
1996 12 628.3
1996 11 2428.7
1996 10 9227·2
1996 09 421.7
1996 08 6425.0
1996 07 6520·8
1996 06 9124·1
1996 05 4226·3
1996 04 8834.7
1996 03 4231.0
1996 02 6528·0
1996 01 9023.9
1995 12 7727·1
1995 11 8522·5
1995 10 7726.0
1995 09 4323·8
1995 08 5826·3
1995 07 5225·5
1995 06 1421.2
1995 05 2028·2
1995 04 8132·1
1995 03 2425.2
1995 02 9128·1
1995 01 6424·1
1994 12 2128.3
1994 11 829·5
1994 10 4434·0
1994 09 4627.9
1994 08 7826·5
1994 07 3524.1
1994 06 3721.3
1994 05 5829·9
1994 04 7934.6
1994 03 6333.5
1994 02 5730·6
1994 01 2026.9
1993 12 7223·4
1993 11 7224·6
1993 10 1821.7
1993 09 7721.2
1993 08 3520.0
1993 07 6921.6
1993 06 5722·5
1993 05 9821·8
1993 04 6627.5
1993 03 8628.3
1993 02 3723·5
1993 01 7623.7
1992 12 9229·0
1992 11 8024.0
1992 10 4625.8
1992 09 3122.5
1992 08 6224.0
1992 07 3226·7
1992 06 9723·0
1992 05 723·3
1992 04 5331.0
1992 03 4928·3
1992 02 2823.4
1992 01 7324.0
1991 12 6520·7
1991 11 6220.6
1991 10 220·3
1991 09 2318.6
1991 08 2218·0
1991 07 2918.7
1991 06 619·1
1991 05 7616·1
1991 04 7627.4
1991 03 3023·6
1991 02 5318.8
1991 01 7716·1
1990 12 216.7
1990 11 7314·8
1990 10 8213.1
1990 09 9514.6
1990 08 013.6
1990 07 8915.2
1990 06 5614.4
1990 05 2316.7
1990 04 9518·3
1990 03 3515·7
1990 02 6114.7
1990 01 8113·1
1989 12 3915·1
1989 11 9215.2
1989 10 1216·0
1989 09 1415·4
1989 08 612.5
1989 07 6615.4
1989 06 4512·8
1989 05 8918·1
1989 04 9722.8
1989 03 9119·9
1989 02 2415.2
1989 01 217·6
1988 12 3618.2
1988 11 2218.1
1988 10 3718·5
1988 09 7116.7
1988 08 7616·4
1988 07 4118.3
1988 06 9716·3
1988 05 4120·0
1988 04 9023·7
1988 03 5420.5
1988 02 4117·9
1988 01 8119·7
1987 12 8019.1
1987 11 9417·6
1987 10 3215·5
1987 09 8517.7
1987 08 7018.9
1987 07 1617.6
1987 06 5921·1
1987 05 7123·5
1987 04 1227·7
1987 03 324·2
1987 02 3421·4
1987 01 8523·0
1986 12 7923·8
1986 11 6120.7
1986 10 9521·1
1986 09 9522·8
1986 08 7421.3
1986 07 2220·2
1986 06 521·9
1986 05 9622.3
1986 04 2126.9
1986 03 4226·2
1986 02 5223.1
1986 01 620·2
1985 12 7125·3
1985 11 319·9
1985 10 4921·9
1985 09 7020·2
1985 08 9921·3
1985 07 1221·0
1985 06 3321·4
1985 05 5725.7
1985 04 530.9
1985 03 029.0
1985 02 6725.1
1985 01 6120·9
1984 12 1527.5
1984 11 2524·2
1984 10 4123·7
1984 09 122.5
1984 08 8023.6
1984 07 6626.6
1984 06 6526·6
1984 05 2135.1
1984 04 7435·8
1984 03 3335.9
1984 02 7932.4
1984 01 9130·5
1983 12 9831·1
1983 11 5529·5
1983 10 4430·7
1983 09 429.0
1983 08 7730.0
1983 07 8931.7
1983 06 5032·9
1983 05 8038·8
1983 04 6244·7
1983 03 1839.5
1983 02 834·6
1983 01 6334.9
1982 12 2936.3
1982 11 4732.5
1982 10 5831·9
1982 09 2229·7
1982 08 7629·4
1982 07 928·9
1982 06 6127·0
1982 05 5132.5
1982 04 3135·4
1982 03 6033.5
1982 02 527·3
1982 01 6924.8
1981 12 4422·6
1981 11 8222.1
1981 10 426.4
1981 09 2124·3
1981 08 8923·8
1981 07 8122·5
1981 06 9524·6
1981 05 7628·0
1981 04 6734·5
1981 03 8928.8
1981 02 4229·1
1981 01 2727.0
1980 12 328·8
1980 11 6325·2
1980 10 3125.2
1980 09 9423.3
1980 08 4921·3
1980 07 8420·3
1980 06 7717·0
1980 05 2122·4
1980 04 7927·5
1980 03 5922.3
1980 02 1619.3
1980 01 7718·5
1979 12 9319.8
1979 11 2017·8
1979 10 1217·4
1979 09 5614.5
1979 08 1814.7
1979 07 2314.6
1979 06 5316·4
1979 05 7821·5
1979 04 324·2
1979 03 4922.5
1979 02 5119.8
1979 01 8617·8
1978 12 2419·4
1978 11 617·2
1978 10 4518.0
1978 09 5017.9
1978 08 8117.2
1978 07 2618.3
1978 06 9716·7
1978 05 6425·0
1978 04 032.0
1978 03 6424.4
1978 02 9522·0
1978 01 4721.5
1977 12 3123·4
1977 11 223·2
1977 10 5322·1
1977 09 4222.2
1977 08 5023·5
1977 07 4824·4
1977 06 722·7
1977 05 2131.1
1977 04 5632·7
1977 03 3228·0
1977 02 2225·0
1977 01 7525·6
1976 12 7527·6
1976 11 1224·1
1976 10 8424·8
1976 09 2523·3
1976 08 5826.9
1976 07 6925·6
1976 06 729.1
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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
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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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