Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
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1972 01 5511.2
1972 02 2511·2
1972 03 6110·7
1972 04 479·8
1972 05 9110.2
1972 06 210.2
1972 07 9410.5
1972 08 810·6
1972 09 6810.4
1972 10 5310·6
1972 11 310·0
1972 12 439.4
1973 01 379.1
1973 02 589.5
1973 03 19.4
1973 04 969·9
1973 05 729.6
1973 06 269·8
1973 07 259.8
1973 08 369.2
1973 09 769·7
1973 10 878·8
1973 11 399·3
1973 12 579·0
1974 01 729.5
1974 02 989·8
1974 03 309.8
1974 04 789.5
1974 05 129·7
1974 06 4010·1
1974 07 1210.4
1974 08 449.9
1974 09 7010.8
1974 10 2111.5
1974 11 2212·4
1974 12 2313·1
1975 01 4814.1
1975 02 7214·4
1975 03 2315.1
1975 04 1015·3
1975 05 7015.1
1975 06 4915·0
1975 07 314.1
1975 08 2315·2
1975 09 8615·4
1975 10 3514·9
1975 11 7614·6
1975 12 814.5
1976 01 7314·3
1976 02 3514.4
1976 03 7713.5
1976 04 3213.8
1976 05 3113.2
1976 06 8214·3
1976 07 7213.9
1976 08 9114·3
1976 09 8513·7
1976 10 3213.9
1976 11 4714.0
1976 12 314·1
1977 01 8513·8
1977 02 6714.2
1977 03 1613·9
1977 04 1212.8
1977 05 713.5
1977 06 9413·9
1977 07 1613.9
1977 08 8915·1
1977 09 5114·5
1977 10 4314.5
1977 11 1114.7
1977 12 2513·6
1978 01 4213·9
1978 02 7313·1
1978 03 8713·1
1978 04 4212.9
1978 05 3213.0
1978 06 6312·8
1978 07 5913.0
1978 08 8312·3
1978 09 9511.9
1978 10 2211·8
1978 11 6312·7
1978 12 1712·4
1979 01 3212.4
1979 02 8013·1
1979 03 6412·5
1979 04 3912·9
1979 05 6812·4
1979 06 9412.2
1979 07 4812.1
1979 08 6712.4
1979 09 5311·7
1979 10 4712·3
1979 11 2811·9
1979 12 4512·2
1980 01 6313.0
1980 02 4412.9
1980 03 4412.9
1980 04 4413·8
1980 05 9914.4
1980 06 1714.6
1980 07 5615.3
1980 08 5614.6
1980 09 8614·8
1980 10 2315·1
1980 11 5415·1
1980 12 115·0
1981 01 7314.6
1981 02 4314·7
1981 03 5015.1
1981 04 2314·7
1981 05 3714.8
1981 06 8515.7
1981 07 8215.0
1981 08 9216·3
1981 09 7815·9
1981 10 7916.7
1981 11 1316·8
1981 12 117.2
1982 01 2117·3
1982 02 8317.7
1982 03 3118·1
1982 04 7018.2
1982 05 1718·5
1982 06 7818·5
1982 07 4918.8
1982 08 4318.9
1982 09 4119·7
1982 10 7020·1
1982 11 420·2
1982 12 8820·9
1983 01 9321.2
1983 02 9219·9
1983 03 6020·1
1983 04 120.4
1983 05 020.3
1983 06 020·7
1983 07 419.4
1983 08 9919·7
1983 09 1018.8
1983 10 7618·2
1983 11 5017·5
1983 12 2817·8
1984 01 017·3
1984 02 2516·2
1984 03 3416·6
1984 04 5616.5
1984 05 7015·7
1984 06 8115·6
1984 07 2116.7
1984 08 7816.0
1984 09 4615·0
1984 10 9915·3
1984 11 9815·0
1984 12 1315.2
1985 01 7715·2
1985 02 6115·8
1985 03 7715·1
1985 04 415.1
1985 05 3915·2
1985 06 7414.4
1985 07 9815.2
1985 08 2214·3
1985 09 3315.2
1985 10 7015.0
1985 11 2215·6
1985 12 6015·0
1986 01 8414.5
1986 02 414.4
1986 03 3714·6
1986 04 3714.8
1986 05 4314.6
1986 06 6015.1
1986 07 5714.4
1986 08 9714·8
1986 09 8414·9
1986 10 4214·6
1986 11 2014·3
1986 12 1013·7
1987 01 814.0
1987 02 8413·8
1987 03 8713·8
1987 04 7012.9
1987 05 4113·6
1987 06 4212·9
1987 07 4812·9
1987 08 9512.6
1987 09 3212·6
1987 10 9612·3
1987 11 1412.1
1987 12 3112.1
1988 01 5812·0
1988 02 5512·4
1988 03 2512·7
1988 04 4512·2
1988 05 1912.3
1988 06 4911.5
1988 07 4211·6
1988 08 3311·4
1988 09 4011·0
1988 10 3611.1
1988 11 5411·0
1988 12 1411·3
1989 01 7111·8
1989 02 9611·9
1989 03 7311.1
1989 04 3111.1
1989 05 8811.2
1989 06 3711.7
1989 07 3811·0
1989 08 5311·1
1989 09 9211·7
1989 10 9011.7
1989 11 1111.7
1989 12 7611·6
1990 01 711·1
1990 02 1111.0
1990 03 8110·9
1990 04 1710·7
1990 05 8410.6
1990 06 8310.5
1990 07 5911·4
1990 08 2111.7
1990 09 9812·1
1990 10 1312.1
1990 11 8512·4
1990 12 5812·4
1991 01 5011.9
1991 02 3012·2
1991 03 2012·5
1991 04 2112·7
1991 05 6612·8
1991 06 9412·5
1991 07 5411·9
1991 08 3012.4
1991 09 9512·3
1991 10 8413.3
1991 11 9712·5
1991 12 2912·9
1992 01 1313·5
1992 02 814.2
1992 03 9014.1
1992 04 8614.1
1992 05 2114.7
1992 06 9714.6
1992 07 9414.4
1992 08 9614.2
1992 09 4313.9
1992 10 814.3
1992 11 9714·1
1992 12 7814·3
1993 01 3014·1
1993 02 2213·5
1993 03 1313.7
1993 04 7714·0
1993 05 5913·1
1993 06 4713·4
1993 07 7812.7
1993 08 6112.3
1993 09 2712·5
1993 10 1411.8
1993 11 5712.6
1993 12 2411·7
1994 01 6313·1
1994 02 7912.8
1994 03 3612.4
1994 04 8611.9
1994 05 1511·7
1994 06 2411.3
1994 07 3010·9
1994 08 9111·2
1994 09 5910·6
1994 10 5611·3
1994 11 7510·8
1994 12 89·9
1995 01 9610·3
1995 02 610.1
1995 03 359·7
1995 04 3110.7
1995 05 5010·0
1995 06 3110·7
1995 07 9710.9
1995 08 7911.1
1995 09 7311·1
1995 10 1310.0
1995 11 749·7
1995 12 9610·2
1996 01 4010.6
1996 02 5910·0
1996 03 510·6
1996 04 5210.7
1996 05 5010.2
1996 06 9910.4
1996 07 5210.6
1996 08 4110.6
1996 09 3010.6
1996 10 9110·7
1996 11 310.6
1996 12 8110·5
1997 01 3010.8
1997 02 1610.7
1997 03 7010·5
1997 04 1810·2
1997 05 2510.3
1997 06 8110.8
1997 07 939.5
1997 08 199.4
1997 09 169·5
1997 10 179·5
1997 11 339·5
1997 12 8010.0
1998 01 289.4
1998 02 829·3
1998 03 799.2
1998 04 199.1
1998 05 118.9
1998 06 568.8
1998 07 449.5
1998 08 808·8
1998 09 419.1
1998 10 478·6
1998 11 658.6
1998 12 347·7
1999 01 197·8
1999 02 868·2
1999 03 58·0
1999 04 727·8
1999 05 697.4
1999 06 307·7
1999 07 528.7
1999 08 167.7
1999 09 418.5
1999 10 608.4
1999 11 198.0
1999 12 97·8
2000 01 138.2
2000 02 838.1
2000 03 447.4
2000 04 207·0
2000 05 837·7
2000 06 317.8
2000 07 907.7
2000 08 447·9
2000 09 777·3
2000 10 597.3
2000 11 457·3
2000 12 987.4
2001 01 458.2
2001 02 517.7
2001 03 228.3
2001 04 298·0
2001 05 647·9
2001 06 138.3
2001 07 588·0
2001 08 49·1
2001 09 338·9
2001 10 759.5
2001 11 169·8
2001 12 1810·1
2002 01 7810·0
2002 02 969.9
2002 03 8410.5
2002 04 9110·7
2002 05 4810·2
2002 06 5610.5
2002 07 769.8
2002 08 659.8
2002 09 219.7
2002 10 629·8
2002 11 2910·7
2002 12 1111.3
2003 01 9510·5
2003 02 4610.7
2003 03 610.3
2003 04 2210·9
2003 05 9610.9
2003 06 6411.5
2003 07 9410·9
2003 08 1710.9
2003 09 7511.1
2003 10 9811.4
2003 11 810·2
2003 12 4210.1
2004 01 710.4
2004 02 559.7
2004 03 8410.3
2004 04 649.8
2004 05 9310·1
2004 06 6610.2
2004 07 8511.0
2004 08 7910·5
2004 09 5710.3
2004 10 8910.8
2004 11 010·7
2004 12 410·7
2005 01 5110.6
2005 02 410·9
2005 03 4110.5
2005 04 8510.3
2005 05 4910.1
2005 06 1810·2
2005 07 479·2
2005 08 909·7
2005 09 529·4
2005 10 639·1
2005 11 7910·6
2005 12 149·2
2006 01 868.9
2006 02 959·5
2006 03 279.5
2006 04 769·4
2006 05 18·7
2006 06 978·9
2006 07 29.5
2006 08 198·8
2006 09 719.0
2006 10 748·4
2006 11 438.5
2006 12 148·3
2007 01 987·9
2007 02 598·0
2007 03 138·4
2007 04 548.3
2007 05 88·3
2007 06 98.5
2007 07 998·1
2007 08 577·6
2007 09 498·0
2007 10 38·5
2007 11 158.5
2007 12 709.0
2008 01 989.1
2008 02 518.4
2008 03 989·2
2008 04 608·6
2008 05 569.6
2008 06 829·4
2008 07 1110.0
2008 08 2110.6
2008 09 4711·3
2008 10 5411.4
2008 11 4211·5
2008 12 7412.1
2009 01 2212·7
2009 02 4813.7
2009 03 513·6
2009 04 6115.0
2009 05 5615.0
2009 06 7114.9
2009 07 3614·8
2009 08 5314.9
2009 09 5015·3
2009 10 5415.9
2009 11 9915.7
2009 12 4316·1
2010 01 2916·5
2010 02 5516.1
2010 03 8116·8
2010 04 5016·5
2010 05 4315.5
2010 06 5515.3
2010 07 9615·6
2010 08 1916.0
2010 09 6815·9
2010 10 6015·8
2010 11 8216.0
2010 12 1815.6
2011 01 515.8
2011 02 315·5
2011 03 115·7
2011 04 4316·3
2011 05 7816·3
2011 06 3916.2
2011 07 4115.8
2011 08 1116·5
2011 09 3815·8
2011 10 5014·9
2011 11 1515·5
2011 12 6815.6
2012 01 6113·6
2012 02 4414·1
2012 03 6114·0
2012 04 8113·1
2012 05 4713.6
2012 06 5114.4
2012 07 4314.1
2012 08 4614·0
2012 09 2013.4
2012 10 2914.5
2012 11 4713.2
2012 12 8214·0
2013 01 3313·8
2013 02 5913.8
2013 03 8613·3
2013 04 3213·2
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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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