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2012 04 51.9
2012 03 972.0
2012 02 791·9
2012 01 41.9
2011 12 501·9
2011 11 941.9
2011 10 181·9
2011 09 321·9
2011 08 292.0
2011 07 581.9
2011 06 261·9
2011 05 282·0
2011 04 941.9
2011 03 712.0
2011 02 172.0
2011 01 352·0
2010 12 212.0
2010 11 392·1
2010 10 281.9
2010 09 231·9
2010 08 82.0
2010 07 952·0
2010 06 232·0
2010 05 851·9
2010 04 822.0
2010 03 941.9
2010 02 892.1
2010 01 422·1
2009 12 932.0
2009 11 191·9
2009 10 392.0
2009 09 372·0
2009 08 161·9
2009 07 761·8
2009 06 112·0
2009 05 391.9
2009 04 532.0
2009 03 972.0
2009 02 682·0
2009 01 422·0
2008 12 272.0
2008 11 382.0
2008 10 982·0
2008 09 661·9
2008 08 901.9
2008 07 812·0
2008 06 131·9
2008 05 551·8
2008 04 181·8
2008 03 322.0
2008 02 521.9
2008 01 771·9
2007 12 91·8
2007 11 241·9
2007 10 771·9
2007 09 281·9
2007 08 901·8
2007 07 131.8
2007 06 771·9
2007 05 251.8
2007 04 121.8
2007 03 801·9
2007 02 642·0
2007 01 142·0
2006 12 491·8
2006 11 331·8
2006 10 761.9
2006 09 631·9
2006 08 21.8
2006 07 21.9
2006 06 761.9
2006 05 671·8
2006 04 961·8
2006 03 451.9
2006 02 521.9
2006 01 442.0
2005 12 821.9
2005 11 431·9
2005 10 171·9
2005 09 391.9
2005 08 351·8
2005 07 21·9
2005 06 91.9
2005 05 211·9
2005 04 561.9
2005 03 551.9
2005 02 901·9
2005 01 841.9
2004 12 691.7
2004 11 581·9
2004 10 481·9
2004 09 481.9
2004 08 261.9
2004 07 932.0
2004 06 972.0
2004 05 552·0
2004 04 21.9
2004 03 661·9
2004 02 751·9
2004 01 771·9
2002 12 962·0
2002 11 91·9
2002 10 431·9
2002 09 62.0
2002 08 352·1
2002 07 791.9
2002 06 901·9
2002 05 611.9
2002 04 691·8
2002 03 561·9
2002 02 302.0
2002 01 881·9
2001 12 741.9
2001 11 491.9
2001 10 992·0
2001 09 552·0
2001 08 481.9
2001 07 881.8
2001 06 611·8
2001 05 551.9
2001 04 191·9
2001 03 311.8
2001 02 31·8
2001 01 101.8
2000 12 361.9
2000 11 581·9
2000 10 391·9
2000 09 611.8
2000 08 751.8
2000 07 761·7
2000 06 61.8
2000 05 801·7
2000 04 371.8
2000 03 181.8
2000 02 681.7
2000 01 591·7
1999 12 461.7
1999 11 402.1
1999 10 111·8
1999 09 181.7
1999 08 521·9
1999 07 221.9
1999 06 501.8
1999 05 11.9
1999 04 331·9
1999 03 731·8
1999 02 221.9
1999 01 771·9
1998 12 871·7
1998 11 231.8
1998 10 901.9
1998 09 411.8
1998 08 401.9
1998 07 302.0
1998 06 411·9
1998 05 111.8
1998 04 421·9
1998 03 751.8
1998 02 891.9
1998 01 321·9
1997 12 701.9
1997 11 642·0
1997 10 712.0
1997 09 721.9
1997 08 232·0
1997 07 291.9
1997 06 511.8
1997 05 271.9
1997 04 261·8
1997 03 271.9
1997 02 162·0
1997 01 141.9
1996 12 312.0
1996 11 401.9
1996 10 791·9
1996 09 791.9
1996 08 121.8
1996 07 742.0
1996 06 781.9
1996 05 902.0
1996 04 701·8
1996 03 601·8
1996 02 771.9
1996 01 411·9
1995 12 311.9
1995 11 561.9
1995 10 621.9
1995 09 521.9
1995 08 441.8
1995 07 431·9
1995 06 471·9
1995 05 671.9
1995 04 851·9
1995 03 281.9
1995 02 691.9
1995 01 541.8
1994 12 551·9
1994 11 421·9
1993 12 921·6
1993 11 91·6
1993 10 781.7
1993 09 421·6
1993 08 31.7
1993 07 501.8
1993 06 61·6
1993 05 101.7
1993 04 161·8
1993 03 211.8
1993 02 131·7
1993 01 521·7
1992 12 681·7
1992 11 911.8
1992 10 01.7
1992 09 991·6
1992 08 221·7
1992 07 551.8
1992 06 931.7
1992 05 101.7
1992 04 661.7
1992 03 321.7
1992 02 411·7
1992 01 641·7
1991 12 131.7
1991 11 661.7
1991 10 211.7
1991 09 691.6
1991 08 01·6
1991 07 261.7
1991 06 321·7
1991 05 571·7
1991 04 921·7
1991 03 61·7
1991 02 01·7
1991 01 841.7
1990 12 741.7
1990 11 251.7
1990 10 761·7
1990 09 311.7
1990 08 611·7
1990 07 271·7
1990 06 341·7
1990 05 61·7
1990 04 911·7
1990 03 821·7
1990 02 751·7
1990 01 401·7
1989 12 261·7
1989 11 841.7
1989 10 251·6
1989 09 901·6
1989 08 531.6
1989 07 521.7
1989 06 341·7
1989 05 371·7
1989 04 871·8
1989 03 301·7
1989 02 771.7
1989 01 881·7
1988 12 651.6
1988 11 871.6
1988 10 551·6
1988 09 741·6
1988 08 491.7
1988 07 171.6
1988 06 931·7
1988 05 531·7
1988 04 281.7
1988 03 391.7
1988 02 421.7
1988 01 51·7
1987 12 151.7
1987 11 981.7
1987 10 761.7
1987 09 381·6
1987 08 471·7
1987 07 631·7
1987 06 961.7
1987 05 831.7
1987 04 871.6
1987 03 281.7
1987 02 291.7
1987 01 971·6
1986 12 241·6
1986 11 111.6
1986 10 231·7
1986 09 611·6
1986 08 701·7
1986 07 581·7
1986 06 551.7
1986 05 831.7
1986 04 621.6
1986 03 371.8
1986 02 241.7
1986 01 931.7
1985 12 651.7
1985 11 421·7
1985 10 571·6
1985 09 481.7
1985 08 651.7
1985 07 931.7
1985 06 31·7
1985 05 311.7
1985 04 771.7
1985 03 341·7
1985 02 381·7
1985 01 471·7
1984 12 361·7
1984 11 331.7
1984 10 631·7
1984 09 281.6
1984 08 71.7
1984 07 861·6
1984 06 31.7
1984 05 311.6
1984 04 781·6
1984 03 101.7
1984 02 71·7
1984 01 381.7
1983 12 601.7
1983 11 511·6
1983 10 521·6
1983 09 551·6
1983 08 931.6
1983 07 771.7
1983 06 391·6
1983 05 141.6
1983 04 391.6
1983 03 821·6
1983 02 911.6
1983 01 711·7
1982 12 861·6
1982 11 871.6
1982 10 601.6
1982 09 81.6
1982 08 461.7
1982 07 341·6
1982 06 221.7
1982 05 321·7
1982 04 591.7
1982 03 931.7
1982 02 761.6
1982 01 751.6
1981 12 851.6
1981 11 581·7
1981 10 471.7
1981 09 921·6
1981 08 151·6
1981 07 481·6
1981 06 871·6
1981 05 661·7
1981 04 591·6
1981 03 81.6
1981 02 711.7
1981 01 41.6
1980 12 571·7
1980 11 61.6
1980 10 991.6
1980 09 361.6
1980 08 711.6
1980 07 371·6
1980 06 961·7
1980 05 201.7
1980 04 891·6
1980 03 191·7
1980 02 131.7
1980 01 381·7
1979 12 251.6
1979 11 981.6
1979 10 261·6
1979 09 951.6
1979 08 141·6
1979 07 421·6
1979 06 341.6
1979 05 231·5
1979 04 221.6
1979 03 451·6
1979 02 631·6
1979 01 801.6
1978 12 351·6
1978 11 261·6
1978 10 631·6
1978 09 471.6
1978 08 671·6
1978 07 291.6
1978 06 101.5
1978 05 301.5
1978 04 551.6
1978 03 251·6
1978 02 51.6
1978 01 611·7
1977 12 621·6
1977 11 61.6
1977 10 721·6
1977 09 971.6
1977 08 761·6
1977 07 921·6
1977 06 621.6
1977 05 191·6
1977 04 111.6
1977 03 271.6
1977 02 501·6
1977 01 341.6
1976 12 31·6
1976 11 801.6
1976 10 371·6
1976 09 741·6
1976 08 161·6
1976 07 461.6
1976 06 491.6
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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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