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Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
2012 04 6018.8
2012 03 917·6
2012 02 2117·4
2012 01 2912.8
2011 12 9214·4
2011 11 7015.6
2011 10 2515.2
2011 09 4914·0
2011 08 1512·1
2011 07 5411.3
2011 06 5513.0
2011 05 9316·5
2011 04 8016·7
2011 03 4318·0
2011 02 2416.1
2011 01 413.3
2010 12 6213·8
2010 11 4414.1
2010 10 6916.3
2010 09 5315·5
2010 08 6212.4
2010 07 8912·6
2010 06 5415·4
2010 05 3215.8
2010 04 417·5
2010 03 3319·2
2010 02 6720.1
2010 01 6216·8
2009 12 4018·0
2009 11 5917·6
2009 10 1920·4
2009 09 8619.0
2009 08 4416.9
2009 07 7419·0
2009 06 5025·4
2009 05 7422·0
2009 04 1822·0
2009 03 822.1
2009 02 2318.8
2009 01 1914.0
2008 12 8616.2
2008 11 1915.5
2008 10 2416.2
2008 09 4116·1
2008 08 9915·9
2008 07 8814·4
2008 06 6717·4
2008 05 8418.1
2008 04 3219·4
2008 03 2217·5
2008 02 9017·2
2008 01 1713.0
2007 12 8615·6
2007 11 5313·6
2007 10 5616·9
2007 09 3519·4
2007 08 8514·0
2007 07 3710·3
2007 06 5216·4
2007 05 5521.1
2007 04 8120.8
2007 03 5517·9
2007 02 9215·6
2007 01 2313.7
2006 12 4917.5
2006 11 1519.1
2006 10 1317.2
2006 09 819·0
2006 08 9015·4
2006 07 4914.8
2006 06 7912.6
2006 05 417.3
2006 04 2718.5
2006 03 1118·3
2006 02 7619·9
2006 01 2917·1
2005 12 1318.0
2005 11 8518.6
2005 10 1918·3
2005 09 2917.3
2005 08 2213·7
2005 07 7813.4
2005 06 4516.4
2005 05 7119.4
2005 04 5517·3
2005 03 1921.2
2005 02 1618·6
2005 01 5115.6
2004 12 3718·5
2004 11 6719.0
2004 10 2116·5
2004 09 8819·4
2004 08 1916·4
2004 07 315·6
2004 06 7317·1
2004 05 2519.1
2004 04 7518.3
2004 03 3417·7
2004 02 917·7
2004 01 3218.0
2003 12 718·2
2003 11 9119·8
2003 10 9322·1
2003 09 316.9
2003 08 3915.8
2003 07 3016·8
2003 06 1217.0
2003 05 5718·3
2003 04 2321.0
2003 03 3419·7
2003 02 7917.8
2003 01 3817·0
2002 12 3317·1
2002 11 1017·7
2002 10 3220.3
2002 09 1516·9
2002 08 7014.8
2002 07 8818.0
2002 06 3521.1
2002 05 8323.1
2002 04 5922.9
2002 03 2524·1
2002 02 7420·9
2002 01 6018.7
2001 12 5117.7
2001 11 316.1
2001 10 6217·7
2001 09 9118.2
2001 08 2112.5
2001 07 3012·8
2001 06 3911.9
2001 05 4518·7
2001 04 7014·4
2001 03 3517·6
2001 02 6619·1
2001 01 1613.8
2000 12 2213·1
2000 11 7612.7
2000 10 3115.2
2000 09 2316·2
2000 08 2912.8
2000 07 3513.1
2000 06 4813.0
2000 05 1115.6
2000 04 6515·2
2000 03 1916·6
2000 02 5314.0
2000 01 4810·7
1999 12 319.9
1999 11 5811·1
1999 10 1115.0
1999 09 2812·8
1999 08 5316·2
1999 07 1015.4
1999 06 915·4
1999 05 7218.4
1999 04 8017.7
1999 03 5516·8
1999 02 6016·7
1999 01 2214·0
1998 12 8817·4
1998 11 217.8
1998 10 115.4
1998 09 4817.2
1998 08 7912.6
1998 07 8110·4
1998 06 9612·7
1998 05 4415.1
1998 04 7610·1
1998 03 4917.5
1998 02 3312.6
1998 01 3012·7
1997 12 3014·1
1997 11 8814.3
1997 10 2413·2
1997 09 4918.4
1997 08 1715.5
1997 07 517.2
1997 06 716.4
1997 05 7020.5
1997 04 3818·2
1997 03 3016.6
1997 02 4612·0
1997 01 8911.6
1996 12 1613.7
1996 11 2117·4
1996 10 2817.9
1996 09 2316.6
1996 08 411·2
1996 07 5910.7
1996 06 6515·3
1996 05 1718.0
1996 04 7625·1
1996 03 5122.2
1996 02 9716·5
1996 01 4014·6
1995 12 3318.9
1995 11 2917.4
1995 10 8514·2
1995 09 8716·2
1995 08 012.2
1995 07 4912·4
1995 06 1813·6
1995 05 7522.7
1995 04 2718·7
1995 03 9319.4
1995 02 920·0
1995 01 5116.0
1994 12 9017·3
1994 11 6817.3
1994 10 9522·6
1994 09 8216.9
1994 08 9014·8
1994 07 413.8
1994 06 3915·8
1994 05 6318·7
1994 04 5120·1
1994 03 5920.6
1994 02 3018.8
1994 01 1313.2
1993 12 2415·2
1993 11 1516·3
1993 10 7918·7
1993 09 7617.2
1993 08 8516·8
1993 07 7815·4
1993 06 2616·9
1993 05 2219·5
1993 04 3321·8
1993 03 7919.8
1993 02 3217.3
1993 01 4317.1
1992 12 9520·1
1992 11 7617·8
1992 10 8716·9
1992 09 6117.1
1992 08 2016.1
1992 07 5015.1
1992 06 218.9
1992 05 1822.5
1992 04 8422.6
1992 03 719·9
1992 02 1518·4
1992 01 8318.8
1991 12 8818·6
1991 11 8019·9
1991 10 9020.6
1991 09 5219·3
1991 08 5618·2
1991 07 2516.3
1991 06 1518.9
1991 05 4320·9
1991 04 4020·2
1991 03 2318·8
1991 02 114·3
1991 01 014.8
1990 12 1415·6
1990 11 8113.2
1990 10 8814·2
1990 09 9317.1
1990 08 7911·4
1990 07 3116·1
1990 06 3816.6
1990 05 1520·4
1990 04 6015.8
1990 03 3014.7
1990 02 3814·5
1990 01 8513·4
1989 12 814·7
1989 11 5913.2
1989 10 315.5
1989 09 4915·3
1989 08 9913·9
1989 07 2416.3
1989 06 6913·9
1989 05 7416.5
1989 04 3116.1
1989 03 5815.3
1989 02 012.9
1989 01 5614.2
1988 12 3214.8
1988 11 1711.5
1988 10 8312·9
1988 09 1215·0
1988 08 5116·6
1988 07 8314·3
1988 06 3118·5
1988 05 8918.0
1988 04 6416·5
1988 03 6219·8
1988 02 8317.1
1988 01 5315·4
1987 12 7014·8
1987 11 8515.5
1987 10 114.0
1987 09 015.8
1987 08 9713·6
1987 07 1115.9
1987 06 7319·7
1987 05 4919·6
1987 04 9320·4
1987 03 2016·6
1987 02 1215·3
1987 01 4413.1
1986 12 3414·8
1986 11 1815·4
1986 10 5614·8
1986 09 5417·1
1986 08 2117.3
1986 07 3811.7
1986 06 6714·7
1986 05 7418·3
1986 04 7916.3
1986 03 3616.7
1986 02 3416·9
1986 01 2116.6
1985 12 5813.6
1985 11 9412.5
1985 10 7015.7
1985 09 4115·8
1985 08 3414.9
1985 07 1913.3
1985 06 1215.5
1985 05 318·0
1985 04 818·2
1985 03 4116·2
1985 02 2315.3
1985 01 113.6
1984 12 411.2
1984 11 1915.0
1984 10 9114.1
1984 09 5315.7
1984 08 7313·7
1984 07 3214.8
1984 06 3019.6
1984 05 522.6
1984 04 9022.1
1984 03 8916.6
1984 02 7616.7
1984 01 2415·7
1983 12 5616.7
1983 11 2014.8
1983 10 9315·9
1983 09 614·4
1983 08 9613.4
1983 07 8316.5
1983 06 6917.2
1983 05 7020.3
1983 04 6124·0
1983 03 5821·2
1983 02 1620.2
1983 01 5919·9
1982 12 2617.9
1982 11 5319.3
1982 10 7315·6
1982 09 4316.7
1982 08 9118.6
1982 07 9916.0
1982 06 320·4
1982 05 1520·3
1982 04 8121.2
1982 03 5320·4
1982 02 9317.0
1982 01 9614.1
1981 12 4812·7
1981 11 9716.8
1981 10 5516·5
1981 09 2916.5
1981 08 6612.7
1981 07 3615.3
1981 06 2920·1
1981 05 8320·7
1981 04 3720·0
1981 03 417.3
1981 02 7718.2
1981 01 5316.5
1980 12 8418.2
1980 11 5617.2
1980 10 8716·9
1980 09 5719·0
1980 08 5917.3
1980 07 7414.4
1980 06 7115.4
1980 05 4018·8
1980 04 3821.0
1980 03 6418·5
1980 02 6815.9
1980 01 7115.7
1979 12 1914·1
1979 11 5912·0
1979 10 4115·0
1979 09 4413.4
1979 08 3012.5
1979 07 1511.6
1979 06 7714.1
1979 05 7918·7
1979 04 1916·2
1979 03 1318.4
1979 02 8914.4
1979 01 1812.8
1978 12 6414.9
1978 11 6116.3
1978 10 1616·9
1978 09 3215·8
1978 08 6311·2
1978 07 9011.2
1978 06 1915·8
1978 05 1420·0
1978 04 4320·8
1978 03 5619.2
1978 02 8818.9
1978 01 8516·0
1977 12 5418.0
1977 11 4117·3
1977 10 3417·5
1977 09 8717·2
1977 08 7014.6
1977 07 5213·8
1977 06 9716·1
1977 05 9018·6
1977 04 9422·4
1977 03 2118·7
1977 02 3718·4
1977 01 8814.8
1976 12 4915.7
1976 11 413·2
1976 10 4514·8
1976 09 017·2
1976 08 8615.0
1976 07 8216.4
1976 06 3118·2
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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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