Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
2012 04 341·8
2012 03 711·8
2012 02 691.8
2012 01 741·8
2011 12 561·8
2011 11 881·9
2011 10 451·8
2011 09 321·8
2011 08 331·8
2011 07 921.9
2011 06 101.8
2011 05 761·8
2011 04 141.9
2011 03 621·8
2011 02 761.8
2011 01 501·9
2010 12 741.8
2010 11 71·9
2010 10 811.9
2010 09 241.8
2010 08 141.8
2010 07 581·8
2010 06 881.9
2010 05 911·8
2010 04 601·9
2010 03 721.8
2010 02 851·8
2010 01 711·8
2009 12 621·9
2009 11 291·9
2009 10 851.9
2009 09 81.8
2009 08 941·8
2009 07 381·8
2009 06 261·8
2009 05 701·9
2009 04 591.8
2009 03 281.8
2009 02 701·8
2009 01 531.8
2008 12 801.7
2008 11 581.7
2008 10 61·7
2008 09 761.7
2008 08 91·8
2008 07 91.8
2008 06 461·8
2008 05 811·8
2008 04 201·8
2008 03 871·7
2008 02 291.7
2008 01 401·7
2007 12 151.6
2007 11 241·7
2007 10 161·8
2007 09 451.7
2007 08 181.7
2007 07 771.7
2007 06 971.7
2007 05 161·7
2007 04 801·7
2007 03 271·7
2007 02 841·7
2007 01 961.6
2006 12 761·7
2006 11 811·7
2006 10 151·8
2006 09 561.8
2006 08 71.7
2006 07 701.7
2006 06 531·7
2006 05 901·7
2006 04 981.7
2006 03 521.7
2006 02 851.8
2006 01 151.7
2005 12 01.7
2005 11 81·7
2005 10 251·7
2005 09 771.7
2005 08 871·7
2005 07 441.7
2005 06 101·8
2005 05 451.7
2005 04 611·8
2005 03 921.7
2005 02 31.8
2005 01 131·8
2004 12 461.8
2004 11 91.7
2004 10 931·7
2004 09 01.7
2004 08 931·8
2004 07 761.7
2004 06 921.8
2004 05 501.8
2004 04 781·8
2004 03 11·7
2004 02 381·7
2004 01 321·8
2002 12 11.7
2002 11 141.7
2002 10 931·7
2002 09 401·7
2002 08 871·7
2002 07 731·7
2002 06 471·7
2002 05 941·7
2002 04 861.7
2002 03 581.7
2002 02 111.7
2002 01 381·7
2001 12 751.7
2001 11 771.7
2001 10 241·7
2001 09 401·7
2001 08 521.7
2001 07 621·6
2001 06 481.6
2001 05 961.7
2001 04 451·6
2001 03 681.6
2001 02 721.6
2001 01 231.6
2000 12 31.6
2000 11 781·6
2000 10 81·6
2000 09 671·7
2000 08 11·6
2000 07 981.6
2000 06 941.6
2000 05 971·5
2000 04 401·6
2000 03 601.6
2000 02 931.6
2000 01 51·6
1999 12 461·5
1999 11 201.6
1999 10 921·7
1999 09 131.7
1999 08 681.8
1999 07 611.7
1999 06 61·6
1999 05 631.6
1999 04 831.6
1999 03 881·5
1999 02 711·7
1999 01 251.7
1998 12 901·6
1998 11 331·6
1998 10 511.7
1998 09 931.6
1998 08 151.7
1998 07 541.7
1998 06 341·7
1998 05 871.7
1998 04 81·7
1998 03 311·6
1998 02 321·6
1998 01 491.7
1997 12 451·6
1997 11 721·6
1997 10 831·7
1997 09 511.7
1997 08 261·6
1997 07 81·7
1997 06 501·7
1997 05 851.6
1997 04 761.6
1997 03 951.7
1997 02 211.6
1997 01 711·7
1996 12 461.6
1996 11 151.6
1996 10 91·7
1996 09 521.7
1996 08 121·7
1996 07 751·7
1996 06 521·7
1996 05 991.7
1996 04 731.6
1996 03 71.6
1996 02 131.6
1996 01 51·6
1995 12 551.6
1995 11 671·6
1995 10 791·6
1995 09 891.7
1995 08 91.7
1995 07 371·6
1995 06 641.6
1995 05 961.6
1995 04 91·6
1995 03 231.6
1995 02 51.6
1995 01 941·6
1994 12 571·6
1994 11 571.6
1993 12 651.6
1993 11 791.6
1993 10 771.5
1993 09 961.6
1993 08 331.6
1993 07 681·6
1993 06 201.6
1993 05 221·5
1993 04 201.5
1993 03 61·7
1993 02 611·6
1993 01 401·6
1992 12 661·6
1992 11 621·6
1992 10 21.6
1992 09 831·7
1992 08 321·6
1992 07 311.7
1992 06 661·6
1992 05 71·6
1992 04 71·6
1992 03 311.6
1992 02 51.6
1992 01 941·6
1991 12 41·5
1991 11 71.6
1991 10 941·6
1991 09 511·6
1991 08 601.6
1991 07 281·6
1991 06 331.6
1991 05 91·6
1991 04 391.6
1991 03 871.6
1991 02 481·6
1991 01 251·6
1990 12 281.6
1990 11 51·6
1990 10 891.6
1990 09 801.6
1990 08 401·6
1990 07 241·6
1990 06 321·6
1990 05 811·5
1990 04 131·5
1990 03 151.5
1990 02 761.5
1990 01 601·6
1989 12 101·5
1989 11 721.6
1989 10 481·6
1989 09 741.5
1989 08 191·6
1989 07 131.5
1989 06 971.6
1989 05 41.6
1989 04 531.5
1989 03 831.6
1989 02 01·5
1989 01 561·5
1988 12 491·5
1988 11 501.5
1988 10 561.5
1988 09 631·5
1988 08 711·6
1988 07 101.6
1988 06 901·6
1988 05 801.5
1988 04 61·5
1988 03 811.5
1988 02 541.6
1988 01 901·5
1987 12 681·5
1987 11 71.5
1987 10 231.5
1987 09 01·5
1987 08 931·5
1987 07 581.5
1987 06 971.5
1987 05 401·5
1987 04 461.5
1987 03 271.5
1987 02 11.5
1987 01 681·6
1986 12 141.5
1986 11 341.5
1986 10 851.5
1986 09 651.5
1986 08 91·5
1986 07 231·5
1986 06 261·5
1986 05 381·5
1986 04 711.5
1986 03 621·6
1986 02 241.5
1986 01 181·5
1985 12 611·5
1985 11 471·5
1985 10 31.5
1985 09 621.5
1985 08 671·6
1985 07 971·5
1985 06 151.5
1985 05 531.5
1985 04 31·5
1985 03 541.5
1985 02 351.6
1985 01 951.5
1984 12 71.5
1984 11 891·5
1984 10 621·5
1984 09 221·5
1984 08 401.5
1984 07 961·5
1984 06 241.5
1984 05 891.5
1984 04 921.5
1984 03 941.5
1984 02 691·5
1984 01 781.5
1983 12 741.5
1983 11 271.5
1983 10 731.5
1983 09 971.5
1983 08 261·5
1983 07 641.6
1983 06 381.5
1983 05 761.5
1983 04 91.5
1983 03 991·6
1983 02 871.5
1983 01 721.6
1982 12 121·5
1982 11 521.5
1982 10 721·5
1982 09 671.5
1982 08 481.5
1982 07 661.6
1982 06 671·5
1982 05 671·5
1982 04 531.5
1982 03 111·6
1982 02 741.5
1982 01 51·5
1981 12 931·5
1981 11 801·5
1981 10 181·5
1981 09 371.5
1981 08 531·4
1981 07 941.5
1981 06 481.5
1981 05 431·6
1981 04 481.5
1981 03 961.5
1981 02 411·5
1981 01 321·5
1980 12 141·5
1980 11 551.5
1980 10 971.5
1980 09 351.5
1980 08 161.5
1980 07 651·5
1980 06 411·5
1980 05 81.5
1980 04 401·4
1980 03 461.5
1980 02 241.5
1980 01 331.4
1979 12 01.4
1979 11 421.4
1979 10 201.4
1979 09 171.4
1979 08 331·4
1979 07 211·5
1979 06 311·5
1979 05 901·4
1979 04 31·5
1979 03 791·4
1979 02 821·5
1979 01 111·5
1978 12 981·4
1978 11 331·4
1978 10 231·4
1978 09 611·4
1978 08 291·4
1978 07 291.4
1978 06 301.5
1978 05 451·5
1978 04 361·5
1978 03 351·5
1978 02 20·2
1978 01 961·5
1977 12 801·5
1977 11 461.4
1977 10 661·5
1977 09 711.4
1977 08 511.5
1977 07 801.5
1977 06 721.5
1977 05 511·5
1977 04 601.4
1977 03 821·4
1977 02 941·5
1977 01 431·5
1976 12 461·5
1976 11 221.4
1976 10 341·4
1976 09 781·4
1976 08 721.5
1976 07 921.5
1976 06 181.5
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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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