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2012 04 391·9
2012 03 101·9
2012 02 371.9
2012 01 912·0
2011 12 681·9
2011 11 651·8
2011 10 821.8
2011 09 492.0
2011 08 762.0
2011 07 311.9
2011 06 411.9
2011 05 192·0
2011 04 141.8
2011 03 902·0
2011 02 262.0
2011 01 432·0
2010 12 562·2
2010 11 482·2
2010 10 751·9
2010 09 922.0
2010 08 32.0
2010 07 362.1
2010 06 512·0
2010 05 601.9
2010 04 801·9
2010 03 131.8
2010 02 432.1
2010 01 652·1
2009 12 382·0
2009 11 581.9
2009 10 622·1
2009 09 522·0
2009 08 531.8
2009 07 791·8
2009 06 472.0
2009 05 912·0
2009 04 242.0
2009 03 81.9
2009 02 601·9
2009 01 742.0
2008 12 772.0
2008 11 12·1
2008 10 902·0
2008 09 222·0
2008 08 621·9
2008 07 401.9
2008 06 491·9
2008 05 781.7
2008 04 551.8
2008 03 312·1
2008 02 761·8
2008 01 121.9
2007 12 561.8
2007 11 51·9
2007 10 332.0
2007 09 171.9
2007 08 911.9
2007 07 211.9
2007 06 81·9
2007 05 131.8
2007 04 91.9
2007 03 591.9
2007 02 142.1
2007 01 441·9
2006 12 871.8
2006 11 261·7
2006 10 891.8
2006 09 802·0
2006 08 251.9
2006 07 531·9
2006 06 961·8
2006 05 131·7
2006 04 481.8
2006 03 981.8
2006 02 221.9
2006 01 642·0
2005 12 61.8
2005 11 412.0
2005 10 811.8
2005 09 771.8
2005 08 751.7
2005 07 901.9
2005 06 101.9
2005 05 202·0
2005 04 551·9
2005 03 761.8
2005 02 732·0
2005 01 881.9
2004 12 721·6
2004 11 561·9
2004 10 571·9
2004 09 11·9
2004 08 761·9
2004 07 122.0
2004 06 751.8
2004 05 11.9
2004 04 431·9
2004 03 491·9
2004 02 651.8
2004 01 581·9
2002 12 721.9
2002 11 01.9
2002 10 901.9
2002 09 672.0
2002 08 892·1
2002 07 221·8
2002 06 371.8
2002 05 461·9
2002 04 461.9
2002 03 951·9
2002 02 212·0
2002 01 411·9
2001 12 161·9
2001 11 271·9
2001 10 782·1
2001 09 182·1
2001 08 01·9
2001 07 491.9
2001 06 711.9
2001 05 741·9
2001 04 241.9
2001 03 191.7
2001 02 891.8
2001 01 271.7
2000 12 392·0
2000 11 161·8
2000 10 441.8
2000 09 221.8
2000 08 191·8
2000 07 491·8
2000 06 741·9
2000 05 261·7
2000 04 651.7
2000 03 491.7
2000 02 421·7
2000 01 351·8
1999 12 21.7
1999 11 722·0
1999 10 361.8
1999 09 681·8
1999 08 811·9
1999 07 11.9
1999 06 691.7
1999 05 691·9
1999 04 771·9
1999 03 411·9
1999 02 781·8
1999 01 61.8
1998 12 911.7
1998 11 241·8
1998 10 271.8
1998 09 751.8
1998 08 472·0
1998 07 82·0
1998 06 42·0
1998 05 941·9
1998 04 971.9
1998 03 731.9
1998 02 211·9
1998 01 71.9
1997 12 151·9
1997 11 262.0
1997 10 162.0
1997 09 841·8
1997 08 31.9
1997 07 01.8
1997 06 521.8
1997 05 181.7
1997 04 851·6
1997 03 501.9
1997 02 182·0
1997 01 291.9
1996 12 122·0
1996 11 582.0
1996 10 251·8
1996 09 611.9
1996 08 591·8
1996 07 312.0
1996 06 121·8
1996 05 831.8
1996 04 271·8
1996 03 11.8
1996 02 421.8
1996 01 901.9
1995 12 411·8
1995 11 241.8
1995 10 21·9
1995 09 991.9
1995 08 511·8
1995 07 821·9
1995 06 61.9
1995 05 571.9
1995 04 331·9
1995 03 812.0
1995 02 911.9
1995 01 301·9
1994 12 871·8
1994 11 531·9
1993 12 211·5
1993 11 151.6
1993 10 391.6
1993 09 551.6
1993 08 831·7
1993 07 291·8
1993 06 391·6
1993 05 681.7
1993 04 891.7
1993 03 181·8
1993 02 621.7
1993 01 991.7
1992 12 791.7
1992 11 501·8
1992 10 91.6
1992 09 801.7
1992 08 151.7
1992 07 191·7
1992 06 51.7
1992 05 671·6
1992 04 841·7
1992 03 441·7
1992 02 11·6
1992 01 421.6
1991 12 01.7
1991 11 711·6
1991 10 711·6
1991 09 121·6
1991 08 01.6
1991 07 671·7
1991 06 171.7
1991 05 71·7
1991 04 481.7
1991 03 261.7
1991 02 641·7
1991 01 861.7
1990 12 311·7
1990 11 691.6
1990 10 611.6
1990 09 291.7
1990 08 621·7
1990 07 391.6
1990 06 851.6
1990 05 441.7
1990 04 791·6
1990 03 61.7
1990 02 361.7
1990 01 611.7
1989 12 451.7
1989 11 631.7
1989 10 401.5
1989 09 371·6
1989 08 491.6
1989 07 291·6
1989 06 461.6
1989 05 551.6
1989 04 11·7
1989 03 491.7
1989 02 301.6
1989 01 201.6
1988 12 421·6
1988 11 921·6
1988 10 921·6
1988 09 641.6
1988 08 331·7
1988 07 521.6
1988 06 591·7
1988 05 451.6
1988 04 621·7
1988 03 491.7
1988 02 791.6
1988 01 431.6
1987 12 431.7
1987 11 251.6
1987 10 301·8
1987 09 651.6
1987 08 131.7
1987 07 511.7
1987 06 101.7
1987 05 431.6
1987 04 351·5
1987 03 211·7
1987 02 451.7
1987 01 341·6
1986 12 961·6
1986 11 531.6
1986 10 871.7
1986 09 191.6
1986 08 111.6
1986 07 921·6
1986 06 91.6
1986 05 51.7
1986 04 171.6
1986 03 81·8
1986 02 141·7
1986 01 231·7
1985 12 761.7
1985 11 931.8
1985 10 251.6
1985 09 301·7
1985 08 771.7
1985 07 681·6
1985 06 931.6
1985 05 81·6
1985 04 321.6
1985 03 761.6
1985 02 951·7
1985 01 641.7
1984 12 791.7
1984 11 861·7
1984 10 291.6
1984 09 281.6
1984 08 821.6
1984 07 941.6
1984 06 221·6
1984 05 581.5
1984 04 281·5
1984 03 171.6
1984 02 241.6
1984 01 351·7
1983 12 291.6
1983 11 01·6
1983 10 101.5
1983 09 671.5
1983 08 251.5
1983 07 121.7
1983 06 811·6
1983 05 841·5
1983 04 771·6
1983 03 481·6
1983 02 611.6
1983 01 431·7
1982 12 741.7
1982 11 261·6
1982 10 31.6
1982 09 261.6
1982 08 291·6
1982 07 901·5
1982 06 801·6
1982 05 391·7
1982 04 791.7
1982 03 111.7
1982 02 941·6
1982 01 151.6
1981 12 871·5
1981 11 811·6
1981 10 691·6
1981 09 91·6
1981 08 421·7
1981 07 201·7
1981 06 561·6
1981 05 41.6
1981 04 561·6
1981 03 721.5
1981 02 311·7
1981 01 61.6
1980 12 661.7
1980 11 61.6
1980 10 931·6
1980 09 461·6
1980 08 371·6
1980 07 171·6
1980 06 691.7
1980 05 821.6
1980 04 551.6
1980 03 241.6
1980 02 81·6
1980 01 951.6
1979 12 341.6
1979 11 701.5
1979 10 861.6
1979 09 911·6
1979 08 121·6
1979 07 241·6
1979 06 41.6
1979 05 31.5
1979 04 511·6
1979 03 821.6
1979 02 871.6
1979 01 871·6
1978 12 401.5
1978 11 621·5
1978 10 841·7
1978 09 241·5
1978 08 901.5
1978 07 81.6
1978 06 721·6
1978 05 211.6
1978 04 411.6
1978 03 901·6
1978 02 521.5
1978 01 111.7
1977 12 551.6
1977 11 11·6
1977 10 471·5
1977 09 481·6
1977 08 201·6
1977 07 611.5
1977 06 91.5
1977 05 161·6
1977 04 481.6
1977 03 131.6
1977 02 131.6
1977 01 211.6
1976 12 781.6
1976 11 281.6
1976 10 601·6
1976 09 941.6
1976 08 731.6
1976 07 981.6
1976 06 751·6
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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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