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2012 04 222·0
2012 03 322·0
2012 02 842·0
2012 01 232·0
2011 12 212.0
2011 11 512·1
2011 10 862·0
2011 09 322·0
2011 08 742.1
2011 07 552·0
2011 06 772·0
2011 05 282.0
2011 04 322.0
2011 03 282.0
2011 02 702.0
2011 01 542.1
2010 12 692.1
2010 11 742·1
2010 10 12·2
2010 09 792·0
2010 08 862·0
2010 07 272.1
2010 06 352·1
2010 05 982.0
2010 04 82·1
2010 03 422.0
2010 02 592·0
2010 01 292·1
2009 12 862·1
2009 11 12·1
2009 10 852.1
2009 09 182·0
2009 08 952·1
2009 07 112.1
2009 06 522·1
2009 05 322·1
2009 04 362.1
2009 03 32·1
2009 02 232.1
2009 01 662·0
2008 12 342·0
2008 11 352.1
2008 10 862·0
2008 09 401.9
2008 08 392·0
2008 07 872·0
2008 06 522.0
2008 05 982·0
2008 04 272.0
2008 03 661·9
2008 02 621·8
2008 01 72·0
2007 12 981·9
2007 11 51·9
2007 10 761.9
2007 09 641·9
2007 08 781·9
2007 07 591·9
2007 06 831·9
2007 05 861.9
2007 04 171·8
2007 03 111·9
2007 02 971·9
2007 01 191·9
2006 12 891.9
2006 11 661·9
2006 10 541.8
2006 09 301.9
2006 08 971·8
2006 07 571·8
2006 06 181·8
2006 05 151·9
2006 04 651.9
2006 03 411·9
2006 02 771·9
2006 01 921.9
2005 12 431.9
2005 11 982·0
2005 10 431.9
2005 09 61·9
2005 08 71·8
2005 07 362·0
2005 06 551.9
2005 05 262·0
2005 04 571·9
2005 03 851.9
2005 02 751·9
2005 01 451·9
2004 12 191·9
2004 11 41·9
2004 10 921.9
2004 09 831.9
2004 08 432·1
2004 07 732·0
2004 06 172.0
2004 05 852.0
2004 04 42.0
2004 03 991.9
2004 02 891.9
2004 01 182.0
2002 12 31·9
2002 11 142.0
2002 10 722·1
2002 09 782.0
2002 08 662.1
2002 07 742.0
2002 06 522.0
2002 05 841.9
2002 04 422·0
2002 03 611.9
2002 02 432.0
2002 01 791.9
2001 12 72·0
2001 11 822.0
2001 10 822·0
2001 09 331.9
2001 08 612.0
2001 07 681.9
2001 06 331·9
2001 05 401.9
2001 04 301·9
2001 03 761.9
2001 02 831.8
2001 01 191.9
2000 12 651.9
2000 11 871.7
2000 10 451.9
2000 09 151.9
2000 08 401·9
2000 07 91.8
2000 06 581.7
2000 05 951.7
2000 04 551·7
2000 03 721.8
2000 02 831·8
2000 01 561.7
1999 12 381·9
1999 11 341·9
1999 10 102·0
1999 09 151.8
1999 08 362·0
1999 07 761·9
1999 06 501.8
1999 05 161·8
1999 04 271.9
1999 03 51·8
1999 02 421·9
1999 01 301.9
1998 12 111.8
1998 11 521·8
1998 10 481·9
1998 09 501·8
1998 08 121·9
1998 07 742·0
1998 06 571.9
1998 05 951·9
1998 04 821.9
1998 03 531.9
1998 02 821.9
1998 01 91.9
1997 12 961.8
1997 11 951·9
1997 10 592.0
1997 09 621.8
1997 08 531.9
1997 07 321·9
1997 06 531·8
1997 05 481.9
1997 04 801·9
1997 03 211·9
1997 02 511·9
1997 01 851.9
1996 12 271·9
1996 11 432.0
1996 10 652.0
1996 09 181·9
1996 08 691·9
1996 07 52·0
1996 06 351.9
1996 05 171.8
1996 04 71.9
1996 03 381.9
1996 02 221·8
1996 01 741·9
1995 12 651.9
1995 11 01·9
1995 10 151·9
1995 09 101.9
1995 08 961.9
1995 07 711·9
1995 06 261·9
1995 05 681.9
1995 04 721·9
1995 03 591·9
1995 02 941·9
1995 01 181.8
1994 12 971.8
1994 11 951.9
1993 12 811·8
1993 11 541·7
1993 10 931·8
1993 09 351·8
1993 08 751.8
1993 07 951.8
1993 06 131·8
1993 05 621.8
1993 04 891.8
1993 03 851.9
1993 02 311.9
1993 01 821·8
1992 12 611.8
1992 11 931·8
1992 10 481·8
1992 09 261.8
1992 08 541·9
1992 07 131.9
1992 06 891.8
1992 05 521.8
1992 04 561.8
1992 03 651·8
1992 02 51·9
1992 01 411·9
1991 12 791·8
1991 11 921·8
1991 10 701.8
1991 09 991.8
1991 08 621.7
1991 07 641.8
1991 06 861.8
1991 05 591.8
1991 04 671·8
1991 03 751.8
1991 02 771·8
1991 01 761·7
1990 12 831·8
1990 11 441·8
1990 10 951·8
1990 09 331.7
1990 08 211·8
1990 07 151.7
1990 06 141·7
1990 05 361.7
1990 04 211.7
1990 03 581.7
1990 02 351.7
1990 01 161·7
1989 12 451·8
1989 11 661·8
1989 10 831·8
1989 09 321.7
1989 08 801.7
1989 07 591·7
1989 06 91·7
1989 05 631·7
1989 04 401·7
1989 03 801.8
1989 02 881.8
1989 01 171·7
1988 12 631·6
1988 11 991.6
1988 10 211.6
1988 09 251.7
1988 08 121·7
1988 07 101.7
1988 06 321.7
1988 05 441·7
1988 04 731.7
1988 03 331·7
1988 02 721·7
1988 01 561·7
1987 12 611·7
1987 11 111.8
1987 10 181·7
1987 09 671·6
1987 08 141.7
1987 07 131.7
1987 06 681·7
1987 05 91.6
1987 04 931·7
1987 03 341·7
1987 02 481.7
1987 01 381·7
1986 12 871·7
1986 11 921·7
1986 10 101.7
1986 09 371·7
1986 08 101.7
1986 07 321.7
1986 06 271·7
1986 05 111.7
1986 04 981.7
1986 03 241.7
1986 02 11·7
1986 01 931·7
1985 12 141.7
1985 11 601.7
1985 10 571·6
1985 09 391.7
1985 08 471.7
1985 07 611.7
1985 06 461·7
1985 05 301·7
1985 04 101·7
1985 03 701.8
1985 02 421·7
1985 01 741·7
1984 12 401·7
1984 11 571·7
1984 10 461.7
1984 09 31·6
1984 08 01.7
1984 07 161·7
1984 06 841·8
1984 05 711·7
1984 04 781.7
1984 03 651·7
1984 02 61·8
1984 01 621·7
1983 12 871.7
1983 11 491.7
1983 10 871.7
1983 09 821·7
1983 08 651.7
1983 07 381·7
1983 06 281.7
1983 05 631·7
1983 04 751·8
1983 03 251·7
1983 02 531·7
1983 01 611.7
1982 12 41·7
1982 11 291.7
1982 10 151·7
1982 09 571.7
1982 08 661.7
1982 07 941·7
1982 06 871·7
1982 05 591.8
1982 04 991.7
1982 03 911.8
1982 02 701.7
1982 01 991·7
1981 12 651.7
1981 11 121·7
1981 10 901·6
1981 09 321.7
1981 08 521·7
1981 07 771.7
1981 06 981·7
1981 05 401.7
1981 04 731.6
1981 03 311.6
1981 02 671.6
1981 01 311·6
1980 12 661·6
1980 11 411·7
1980 10 01.6
1980 09 351.7
1980 08 941.7
1980 07 31·7
1980 06 201.7
1980 05 91·7
1980 04 451.6
1980 03 361·6
1980 02 791·7
1980 01 361.6
1979 12 311.6
1979 11 831.6
1979 10 531·7
1979 09 211.6
1979 08 911.6
1979 07 141·7
1979 06 401.7
1979 05 961·6
1979 04 881.6
1979 03 231·6
1979 02 681·6
1979 01 191.6
1978 12 91·6
1978 11 291.7
1978 10 851·6
1978 09 701·6
1978 08 671.6
1978 07 761·6
1978 06 681.6
1978 05 561·6
1978 04 01.6
1978 03 341.7
1978 02 171·7
1978 01 91·7
1977 12 711.6
1977 11 961·7
1977 10 581.7
1977 09 851.6
1977 08 681.7
1977 07 821·6
1977 06 401·7
1977 05 671.7
1977 04 41·7
1977 03 361·7
1977 02 391.7
1977 01 601·7
1976 12 171.7
1976 11 271.7
1976 10 561.6
1976 09 961·6
1976 08 691.6
1976 07 481·7
1976 06 151.7
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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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