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2012 04 351.9
2012 03 41.8
2012 02 11·9
2012 01 741.7
2011 12 941·8
2011 11 321·8
2011 10 631.8
2011 09 931.8
2011 08 61.7
2011 07 461·8
2011 06 141·8
2011 05 981·7
2011 04 231·8
2011 03 281.8
2011 02 661·9
2011 01 331·7
2010 12 191.8
2010 11 841·9
2010 10 571·9
2010 09 681.8
2010 08 961.9
2010 07 451·8
2010 06 502.0
2010 05 961·7
2010 04 771·9
2010 03 701·7
2010 02 331·8
2010 01 371.6
2009 12 151.8
2009 11 381·9
2009 10 191·9
2009 09 351.8
2009 08 841·8
2009 07 581.8
2009 06 451·9
2009 05 581·8
2009 04 841·7
2009 03 591·5
2009 02 751·8
2009 01 21.6
2008 12 411.6
2008 11 01.7
2008 10 971·8
2008 09 861·5
2008 08 61.6
2008 07 621.7
2008 06 231·7
2008 05 521·4
2008 04 531·5
2008 03 511.5
2008 02 921.5
2008 01 711·7
2007 12 831·6
2007 11 991.8
2007 10 661·7
2007 09 371.7
2007 08 221.7
2007 07 621.6
2007 06 331.6
2007 05 691·6
2007 04 201·4
2007 03 231.6
2007 02 51·7
2007 01 111·5
2006 12 531·6
2006 11 881.4
2006 10 221·7
2006 09 321·5
2006 08 201.7
2006 07 891.7
2006 06 461·3
2006 05 261·6
2006 04 471·6
2006 03 811.4
2006 02 641.8
2006 01 131.5
2005 12 841.8
2005 11 481.6
2005 10 891.5
2005 09 361·5
2005 08 71.5
2005 07 951.6
2005 06 611·5
2005 05 651·7
2005 04 171·6
2005 03 541.8
2005 02 401·4
2005 01 931·5
2004 12 381.6
2004 11 821·6
2004 10 161.4
2004 09 411.7
2004 08 221·6
2004 07 601.7
2004 06 01·6
2004 05 521·6
2004 04 421·6
2004 03 961·6
2004 02 321.5
2004 01 951.6
2002 12 11.7
2002 11 201.7
2002 10 741.7
2002 09 641.7
2002 08 231.7
2002 07 891.7
2002 06 131·7
2002 05 791.6
2002 04 581·4
2002 03 861.6
2002 02 641.6
2002 01 841·7
2001 12 821·4
2001 11 161·5
2001 10 621·6
2001 09 471·3
2001 08 961·7
2001 07 111.5
2001 06 721.3
2001 05 641.5
2001 04 251·2
2001 03 291.5
2001 02 821.6
2001 01 521·5
2000 12 181·5
2000 11 491.4
2000 10 41·3
2000 09 571·6
2000 08 531.2
2000 07 801.3
2000 06 761.4
2000 05 471·2
2000 04 281·5
2000 03 531.4
2000 02 611.4
2000 01 171·4
1999 12 701·5
1999 11 251.4
1999 10 461·4
1999 09 851·3
1999 08 281.7
1999 07 761·5
1999 06 461·6
1999 05 961·5
1999 04 781.4
1999 03 141.4
1999 02 971·6
1999 01 191·6
1998 12 211·6
1998 11 711·3
1998 10 631.4
1998 09 481.4
1998 08 821·5
1998 07 21.5
1998 06 321.4
1998 05 31·2
1998 04 111·3
1998 03 901.5
1998 02 151·5
1998 01 261·8
1997 12 841.5
1997 11 421·7
1997 10 521.5
1997 09 891·5
1997 08 11·4
1997 07 891·2
1997 06 51.3
1997 05 841·3
1997 04 871·4
1997 03 871.5
1997 02 621.4
1997 01 301·6
1996 12 931.4
1996 11 181.4
1996 10 371.4
1996 09 731·5
1996 08 951.6
1996 07 891·8
1996 06 651.6
1996 05 811·3
1996 04 921.8
1996 03 321·6
1996 02 121·5
1996 01 481.5
1995 12 101·4
1995 11 31.4
1995 10 641.6
1995 09 931·7
1995 08 991.5
1995 07 831.5
1995 06 351·7
1995 05 611.6
1995 04 361·4
1995 03 811.3
1995 02 621.6
1995 01 201.5
1994 12 191.5
1994 11 261·6
1993 12 81·4
1993 11 651·4
1993 10 751.3
1993 09 761.5
1993 08 621·5
1993 07 151.4
1993 06 541·4
1993 05 121·5
1993 04 351.6
1993 03 141.6
1993 02 321·5
1993 01 411.5
1992 12 671·6
1992 11 321·4
1992 10 81·6
1992 09 951.6
1992 08 191·6
1992 07 611.6
1992 06 81·7
1992 05 301.6
1992 04 801·7
1992 03 221·4
1992 02 831·6
1992 01 281·7
1991 12 631·4
1991 11 591·5
1991 10 81·6
1991 09 961.5
1991 08 51·4
1991 07 411.4
1991 06 831.5
1991 05 651·6
1991 04 691.5
1991 03 611.4
1991 02 341.4
1991 01 921·5
1990 12 441.4
1990 11 391·4
1990 10 111.5
1990 09 581.6
1990 08 421·5
1990 07 201.4
1990 06 901.5
1990 05 701.3
1990 04 11.4
1990 03 721·6
1990 02 701.6
1990 01 601·5
1989 12 841.4
1989 11 891.5
1989 10 781.5
1989 09 851.3
1989 08 791.3
1989 07 911.4
1989 06 631.4
1989 05 251·4
1989 04 991·5
1989 03 221·8
1989 02 11·5
1989 01 881·4
1988 12 811.6
1988 11 511.3
1988 10 931·3
1988 09 61.3
1988 08 891.6
1988 07 711·4
1988 06 641.6
1988 05 341.5
1988 04 101.5
1988 03 31.4
1988 02 641.5
1988 01 561.5
1987 12 571.4
1987 11 901.6
1987 10 681·2
1987 09 761·3
1987 08 691.3
1987 07 21·3
1987 06 781.7
1987 05 271·4
1987 04 81.4
1987 03 321.4
1987 02 181.3
1987 01 661.5
1986 12 621·3
1986 11 01.7
1986 10 381.5
1986 09 741.3
1986 08 431.5
1986 07 501·3
1986 06 151·3
1986 05 581·5
1986 04 901·4
1986 03 501·8
1986 02 491·2
1986 01 491.5
1985 12 661·4
1985 11 961·4
1985 10 641.4
1985 09 41.4
1985 08 591·4
1985 07 61.5
1985 06 121·6
1985 05 51·4
1985 04 811·4
1985 03 251·4
1985 02 681.5
1985 01 591.4
1984 12 701.6
1984 11 211.3
1984 10 311.3
1984 09 961·3
1984 08 901·4
1984 07 891·6
1984 06 281·5
1984 05 741.6
1984 04 271.6
1984 03 481.4
1984 02 101·4
1984 01 751.4
1983 12 961.7
1983 11 411·4
1983 10 501·6
1983 09 41·6
1983 08 331·6
1983 07 391·6
1983 06 501.4
1983 05 941.3
1983 04 21·4
1983 03 351·4
1983 02 351·3
1983 01 11.5
1982 12 911.4
1982 11 491.4
1982 10 561·4
1982 09 71·2
1982 08 121.3
1982 07 241·6
1982 06 881.3
1982 05 191·4
1982 04 41·3
1982 03 301.4
1982 02 301.3
1982 01 671·4
1981 12 291.4
1981 11 601·5
1981 10 101.3
1981 09 101·2
1981 08 761.3
1981 07 351.3
1981 06 761.4
1981 05 271.4
1981 04 561.3
1981 03 981.4
1981 02 51.3
1981 01 271·3
1980 12 91.5
1980 11 181·3
1980 10 971.4
1980 09 411.3
1980 08 961·3
1980 07 891.3
1980 06 771·3
1980 05 251·3
1980 04 61.2
1980 03 311.5
1980 02 961·3
1980 01 611.4
1979 12 521.4
1979 11 881.4
1979 10 281.5
1979 09 551.5
1979 08 721.3
1979 07 281.3
1979 06 751.3
1979 05 401·4
1979 04 281·5
1979 03 461.4
1979 02 621·4
1979 01 721.6
1978 12 81·4
1978 11 621.4
1978 10 391.2
1978 09 321·3
1978 08 251·3
1978 07 191.4
1978 06 811·4
1978 05 281·4
1978 04 181·5
1978 03 861·4
1978 02 901.4
1978 01 901·3
1977 12 481·4
1977 11 571.4
1977 10 901.4
1977 09 761.4
1977 08 51.4
1977 07 531.3
1977 06 311.4
1977 05 661·4
1977 04 01·4
1977 03 161.4
1977 02 901.5
1977 01 691.4
1976 12 721.4
1976 11 161·4
1976 10 661·5
1976 09 151·4
1976 08 841·4
1976 07 471.4
1976 06 851.4
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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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