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2012 04 681·8
2012 03 771.9
2012 02 641·9
2012 01 171·9
2011 12 531·9
2011 11 861·9
2011 10 361·9
2011 09 511.9
2011 08 601.8
2011 07 491.9
2011 06 652.0
2011 05 391.9
2011 04 391.8
2011 03 491·9
2011 02 641.9
2011 01 261.9
2010 12 681·9
2010 11 912.0
2010 10 721·9
2010 09 821.9
2010 08 451.9
2010 07 82.0
2010 06 502.0
2010 05 01·9
2010 04 962.0
2010 03 572·0
2010 02 872.0
2010 01 992·0
2009 12 722·0
2009 11 181.9
2009 10 952.0
2009 09 242·0
2009 08 472·0
2009 07 991·9
2009 06 132·0
2009 05 441·9
2009 04 232·0
2009 03 311·9
2009 02 31.9
2009 01 531·9
2008 12 252.0
2008 11 711.9
2008 10 541·8
2008 09 701·8
2008 08 31.8
2008 07 11·8
2008 06 781.8
2008 05 381·8
2008 04 321.8
2008 03 261·7
2008 02 131·8
2008 01 291·8
2007 12 131·8
2007 11 801.8
2007 10 211·8
2007 09 341.8
2007 08 711·8
2007 07 181.9
2007 06 921.9
2007 05 751·7
2007 04 571·8
2007 03 211·8
2007 02 371.8
2007 01 941.8
2006 12 471.8
2006 11 981.7
2006 10 951.9
2006 09 611.8
2006 08 391·7
2006 07 791·8
2006 06 291·8
2006 05 691·7
2006 04 611·7
2006 03 201.8
2006 02 261·8
2006 01 401·8
2005 12 611.8
2005 11 51·7
2005 10 991·8
2005 09 151·8
2005 08 171.7
2005 07 391.8
2005 06 871.8
2005 05 651.8
2005 04 271.9
2005 03 531.9
2005 02 511.8
2005 01 831.9
2004 12 181.8
2004 11 51.8
2004 10 811.8
2004 09 891.8
2004 08 391.9
2004 07 761.9
2004 06 881·9
2004 05 271·9
2004 04 671·9
2004 03 731·9
2004 02 111·8
2004 01 661.8
2002 12 11·8
2002 11 281·8
2002 10 131.8
2002 09 11.8
2002 08 671.9
2002 07 971.9
2002 06 811·8
2002 05 491.9
2002 04 161.8
2002 03 611.9
2002 02 291·9
2002 01 561·8
2001 12 221·8
2001 11 281·8
2001 10 942·0
2001 09 901·9
2001 08 871·8
2001 07 281.8
2001 06 391·8
2001 05 461.7
2001 04 351.7
2001 03 201.8
2001 02 521·8
2001 01 431.8
2000 12 171·7
2000 11 831.8
2000 10 471·8
2000 09 261·7
2000 08 81.7
2000 07 261.7
2000 06 601·7
2000 05 621.6
2000 04 91.7
2000 03 791.7
2000 02 551·8
2000 01 461·7
1999 12 451·6
1999 11 01·8
1999 10 191.9
1999 09 981.7
1999 08 661.8
1999 07 691·8
1999 06 671·7
1999 05 611.7
1999 04 481.9
1999 03 941.7
1999 02 341.8
1999 01 51.8
1998 12 921·7
1998 11 61.7
1998 10 851·7
1998 09 241·8
1998 08 221·9
1998 07 611.8
1998 06 71.8
1998 05 371·8
1998 04 901·8
1998 03 421·8
1998 02 141·7
1998 01 881.7
1997 12 691·7
1997 11 561.8
1997 10 421.8
1997 09 461·8
1997 08 621.8
1997 07 321·8
1997 06 551.7
1997 05 61.7
1997 04 931.7
1997 03 301·8
1997 02 411·7
1997 01 861·8
1996 12 121·7
1996 11 291·8
1996 10 131·8
1996 09 311·9
1996 08 951.7
1996 07 371.8
1996 06 81.8
1996 05 101·8
1996 04 431·8
1996 03 851·7
1996 02 891·8
1996 01 161·7
1995 12 811·7
1995 11 301.7
1995 10 451.7
1995 09 701·8
1995 08 581.8
1995 07 531.8
1995 06 891·7
1995 05 151.8
1995 04 521.8
1995 03 621·8
1995 02 571.8
1995 01 211·8
1994 12 611·7
1994 11 881.7
1993 12 131.7
1993 11 801·7
1993 10 111·6
1993 09 871.6
1993 08 461.7
1993 07 141·8
1993 06 541.7
1993 05 411·6
1993 04 671.6
1993 03 651·8
1993 02 631·7
1993 01 571.7
1992 12 151.8
1992 11 41.7
1992 10 401·8
1992 09 661·7
1992 08 521·8
1992 07 231·8
1992 06 101·8
1992 05 251·7
1992 04 671·7
1992 03 431·7
1992 02 231·7
1992 01 161.7
1991 12 721·6
1991 11 71.7
1991 10 551.6
1991 09 451·7
1991 08 61.7
1991 07 841.7
1991 06 51·7
1991 05 451.7
1991 04 301·7
1991 03 691·7
1991 02 11·8
1991 01 711·7
1990 12 341·7
1990 11 811·7
1990 10 911·7
1990 09 51·7
1990 08 291.7
1990 07 641·7
1990 06 511·7
1990 05 541.7
1990 04 551·7
1990 03 871·7
1990 02 821·7
1990 01 491.7
1989 12 731.6
1989 11 441·7
1989 10 91·7
1989 09 481·7
1989 08 711.6
1989 07 551·6
1989 06 831·6
1989 05 311·6
1989 04 641·6
1989 03 631·7
1989 02 781.6
1989 01 61·6
1988 12 871.6
1988 11 371·6
1988 10 961·6
1988 09 41.7
1988 08 51·7
1988 07 731·6
1988 06 611.6
1988 05 811.6
1988 04 51.5
1988 03 881·6
1988 02 241.6
1988 01 201·7
1987 12 01·5
1987 11 271·5
1987 10 601·7
1987 09 271.5
1987 08 281.7
1987 07 601.6
1987 06 711.6
1987 05 341·6
1987 04 521.6
1987 03 801.7
1987 02 801·6
1987 01 971.6
1986 12 591·6
1986 11 61.6
1986 10 391.6
1986 09 981.6
1986 08 631·6
1986 07 831·7
1986 06 231.6
1986 05 431.6
1986 04 21·6
1986 03 801.7
1986 02 321·7
1986 01 651·7
1985 12 381·6
1985 11 901·6
1985 10 921.6
1985 09 191.6
1985 08 591·7
1985 07 341·6
1985 06 531·7
1985 05 881.6
1985 04 791·6
1985 03 551.7
1985 02 901·7
1985 01 781.7
1984 12 341.6
1984 11 221·7
1984 10 51·7
1984 09 211·6
1984 08 891·7
1984 07 301.7
1984 06 211.7
1984 05 731·6
1984 04 301.7
1984 03 971·7
1984 02 901·7
1984 01 171.7
1983 12 711·7
1983 11 681.6
1983 10 881.6
1983 09 571·6
1983 08 501.6
1983 07 121.7
1983 06 141.7
1983 05 281·7
1983 04 291·6
1983 03 231·7
1983 02 931.6
1983 01 841·7
1982 12 971·7
1982 11 201·7
1982 10 771·7
1982 09 81·7
1982 08 661.7
1982 07 471·7
1982 06 411·7
1982 05 61.6
1982 04 741.7
1982 03 741·6
1982 02 841.7
1982 01 101.6
1981 12 841·6
1981 11 941.6
1981 10 331·6
1981 09 771.6
1981 08 841.7
1981 07 271.7
1981 06 381.6
1981 05 871·6
1981 04 871·6
1981 03 171·7
1981 02 741·7
1981 01 491.7
1980 12 311.6
1980 11 331·6
1980 10 411·6
1980 09 931.6
1980 08 791.6
1980 07 691.7
1980 06 651·6
1980 05 761·7
1980 04 181·6
1980 03 451·7
1980 02 971.6
1980 01 801·6
1979 12 611·6
1979 11 41·6
1979 10 121.6
1979 09 111·6
1979 08 471.6
1979 07 151.6
1979 06 91.6
1979 05 11.5
1979 04 381.6
1979 03 731·6
1979 02 161.6
1979 01 71·6
1978 12 221.6
1978 11 971·6
1978 10 811.6
1978 09 101.6
1978 08 121·5
1978 07 311.5
1978 06 801·5
1978 05 171·6
1978 04 461.6
1978 03 441.7
1978 02 141·7
1978 01 601·7
1977 12 861.7
1977 11 301.7
1977 10 81·6
1977 09 941·6
1977 08 221.6
1977 07 91·7
1977 06 131.6
1977 05 31.6
1977 04 651·6
1977 03 251·7
1977 02 41.7
1977 01 921.7
1976 12 531·7
1976 11 461.7
1976 10 801.7
1976 09 941.6
1976 08 501.7
1976 07 661·7
1976 06 691·8
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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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