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2012 04 462.0
2012 03 942·0
2012 02 792·1
2012 01 352.1
2011 12 221.9
2011 11 982.0
2011 10 272·0
2011 09 992.1
2011 08 892.1
2011 07 262·0
2011 06 02·0
2011 05 872·0
2011 04 982.0
2011 03 592.0
2011 02 132·0
2011 01 421·9
2010 12 232.1
2010 11 42·1
2010 10 22·2
2010 09 342·1
2010 08 672.0
2010 07 922·1
2010 06 312·1
2010 05 582·0
2010 04 532·1
2010 03 802·0
2010 02 872.0
2010 01 312.0
2009 12 322.2
2009 11 502·1
2009 10 842.1
2009 09 992·0
2009 08 812·1
2009 07 82·1
2009 06 592·1
2009 05 302.0
2009 04 982·0
2009 03 872·1
2009 02 752·0
2009 01 192.0
2008 12 102.0
2008 11 412·0
2008 10 202.0
2008 09 851·9
2008 08 662·0
2008 07 541·9
2008 06 71.9
2008 05 721.8
2008 04 431.9
2008 03 321·9
2008 02 731·8
2008 01 492.0
2007 12 411.9
2007 11 71·9
2007 10 832.0
2007 09 101·8
2007 08 841.9
2007 07 342·0
2007 06 232.0
2007 05 742.0
2007 04 241·8
2007 03 961.9
2007 02 71·9
2007 01 861.9
2006 12 361.8
2006 11 01·8
2006 10 711.8
2006 09 151.9
2006 08 201.8
2006 07 771.8
2006 06 811·8
2006 05 541·9
2006 04 11·8
2006 03 831·9
2006 02 221.8
2006 01 231·9
2005 12 311·9
2005 11 11·9
2005 10 81.8
2005 09 662·0
2005 08 831.8
2005 07 371·9
2005 06 781.9
2005 05 532.0
2005 04 601·9
2005 03 231·9
2005 02 931·8
2005 01 771·9
2004 12 861.8
2004 11 151.9
2004 10 421.9
2004 09 571.9
2004 08 112·0
2004 07 941·9
2004 06 382.0
2004 05 382·0
2004 04 111·9
2004 03 692·0
2004 02 182.0
2004 01 882.0
2002 12 871·8
2002 11 692.0
2002 10 452·1
2002 09 32.0
2002 08 632.0
2002 07 531.9
2002 06 82.0
2002 05 11·9
2002 04 902.0
2002 03 01·9
2002 02 192·0
2002 01 251.8
2001 12 441.9
2001 11 191·9
2001 10 162.0
2001 09 462.0
2001 08 251·9
2001 07 411.9
2001 06 611·9
2001 05 581.8
2001 04 581·8
2001 03 221.8
2001 02 441·9
2001 01 791.9
2000 12 941.9
2000 11 441·8
2000 10 771·7
2000 09 541.8
2000 08 81.8
2000 07 141·7
2000 06 971·7
2000 05 521.6
2000 04 01·7
2000 03 631·7
2000 02 671.7
2000 01 671·7
1999 12 961.7
1999 11 491.8
1999 10 771·9
1999 09 171·8
1999 08 462·0
1999 07 511·9
1999 06 371·8
1999 05 491.7
1999 04 261·8
1999 03 781.8
1999 02 861·9
1999 01 291·8
1998 12 361.8
1998 11 611·7
1998 10 881.8
1998 09 541·9
1998 08 12·0
1998 07 571.9
1998 06 301·9
1998 05 411·8
1998 04 721·8
1998 03 461·9
1998 02 242.0
1998 01 351.8
1997 12 251.8
1997 11 371·8
1997 10 92·0
1997 09 41.8
1997 08 591·9
1997 07 601.8
1997 06 481.8
1997 05 441.8
1997 04 991·8
1997 03 721·8
1997 02 291.8
1997 01 741.9
1996 12 981.9
1996 11 541·9
1996 10 631.8
1996 09 371·8
1996 08 281·8
1996 07 142.0
1996 06 911·9
1996 05 21.8
1996 04 931.8
1996 03 831.8
1996 02 731.7
1996 01 641·9
1995 12 151·8
1995 11 181.8
1995 10 981·8
1995 09 421.8
1995 08 471·8
1995 07 01·8
1995 06 801·8
1995 05 801.8
1995 04 621·8
1995 03 361.9
1995 02 551·8
1995 01 471.8
1994 12 631·7
1994 11 581·9
1993 12 871·7
1993 11 371.6
1993 10 741·7
1993 09 211·7
1993 08 641.8
1993 07 701·7
1993 06 451.8
1993 05 91.8
1993 04 981.7
1993 03 891.8
1993 02 521.7
1993 01 271·7
1992 12 281·7
1992 11 641.7
1992 10 951·8
1992 09 81·8
1992 08 161·8
1992 07 881.8
1992 06 01.7
1992 05 71·7
1992 04 501.7
1992 03 821·7
1992 02 171.8
1992 01 61·8
1991 12 441.7
1991 11 891·7
1991 10 211.7
1991 09 131·6
1991 08 341·7
1991 07 781.8
1991 06 131.7
1991 05 581·7
1991 04 841·7
1991 03 441.6
1991 02 181·7
1991 01 981.7
1990 12 821·7
1990 11 51.7
1990 10 871.7
1990 09 161·7
1990 08 411·8
1990 07 51·7
1990 06 951·6
1990 05 171·7
1990 04 981.6
1990 03 151·6
1990 02 431.6
1990 01 341.7
1989 12 171·7
1989 11 281·7
1989 10 551.7
1989 09 221·6
1989 08 851·6
1989 07 621·6
1989 06 821·6
1989 05 641.7
1989 04 161·6
1989 03 631.7
1989 02 01·7
1989 01 661.7
1988 12 461·6
1988 11 991·6
1988 10 91.6
1988 09 601·7
1988 08 401.6
1988 07 651.7
1988 06 341·6
1988 05 21·7
1988 04 841.6
1988 03 791.6
1988 02 261.6
1988 01 751·6
1987 12 921·7
1987 11 871·7
1987 10 601·6
1987 09 841·6
1987 08 21·6
1987 07 561.6
1987 06 361.7
1987 05 621.5
1987 04 771.6
1987 03 811·6
1987 02 811·6
1987 01 641.7
1986 12 31·6
1986 11 821.6
1986 10 441·6
1986 09 741·6
1986 08 961.6
1986 07 11·6
1986 06 01.6
1986 05 961·6
1986 04 911.6
1986 03 101·7
1986 02 501.7
1986 01 641·7
1985 12 531.6
1985 11 11.6
1985 10 201·6
1985 09 331·6
1985 08 691·7
1985 07 941·6
1985 06 601·6
1985 05 851·5
1985 04 511·6
1985 03 321·6
1985 02 451·6
1985 01 281·7
1984 12 391.6
1984 11 861·6
1984 10 761·6
1984 09 921·6
1984 08 941.6
1984 07 491·7
1984 06 781·7
1984 05 341·6
1984 04 51·6
1984 03 401.7
1984 02 11.7
1984 01 351·6
1983 12 841.6
1983 11 41·6
1983 10 211.6
1983 09 31·6
1983 08 701·6
1983 07 101·7
1983 06 381·6
1983 05 701.6
1983 04 251·7
1983 03 511·7
1983 02 771·6
1983 01 911.7
1982 12 371·6
1982 11 471·6
1982 10 901·6
1982 09 481·6
1982 08 191·6
1982 07 421.6
1982 06 511.6
1982 05 481·7
1982 04 91.7
1982 03 61·7
1982 02 611.7
1982 01 231·6
1981 12 701·6
1981 11 311.6
1981 10 451·6
1981 09 301.6
1981 08 901.6
1981 07 391·7
1981 06 531.6
1981 05 491·6
1981 04 811·5
1981 03 721.5
1981 02 621.5
1981 01 881.5
1980 12 821.6
1980 11 991.6
1980 10 711·6
1980 09 781·6
1980 08 551·6
1980 07 161·6
1980 06 51.6
1980 05 751.6
1980 04 881.5
1980 03 401.5
1980 02 161·5
1980 01 631·5
1979 12 951.6
1979 11 171·4
1979 10 781·6
1979 09 461.6
1979 08 121.5
1979 07 151·6
1979 06 921.6
1979 05 571·5
1979 04 41·6
1979 03 281·5
1979 02 831.6
1979 01 531·5
1978 12 571·5
1978 11 761·6
1978 10 21.6
1978 09 151·5
1978 08 861.5
1978 07 31.5
1978 06 241.6
1978 05 491.5
1978 04 261.5
1978 03 781.6
1978 02 491·6
1978 01 871·6
1977 12 431·5
1977 11 951·6
1977 10 31·6
1977 09 871.5
1977 08 231·6
1977 07 731.5
1977 06 371.5
1977 05 291.6
1977 04 791.6
1977 03 561·6
1977 02 251·6
1977 01 211·6
1976 12 491·6
1976 11 131.5
1976 10 681·5
1976 09 931.5
1976 08 961·5
1976 07 401·6
1976 06 921·6
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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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