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2012 04 172.2
2012 03 112·1
2012 02 632·0
2012 01 642·1
2011 12 282.2
2011 11 712.1
2011 10 122.2
2011 09 992.2
2011 08 612·0
2011 07 862·2
2011 06 182·0
2011 05 892·1
2011 04 682.2
2011 03 372·2
2011 02 942.2
2011 01 782.2
2010 12 222.2
2010 11 312.2
2010 10 772·2
2010 09 352·1
2010 08 262·2
2010 07 02.1
2010 06 322.1
2010 05 542.1
2010 04 42.2
2010 03 02.2
2010 02 452.1
2010 01 552·1
2009 12 62.2
2009 11 132.1
2009 10 302·1
2009 09 822.2
2009 08 82.2
2009 07 452·1
2009 06 252·2
2009 05 32.2
2009 04 112·2
2009 03 292·2
2009 02 922·2
2009 01 142·2
2008 12 392·2
2008 11 202.3
2008 10 192.2
2008 09 322.1
2008 08 432·1
2008 07 12.2
2008 06 192·1
2008 05 22.2
2008 04 991·9
2008 03 782.0
2008 02 312·2
2008 01 942·0
2007 12 72·0
2007 11 832.2
2007 10 162·0
2007 09 12·0
2007 08 921.9
2007 07 732.0
2007 06 632.0
2007 05 432.1
2007 04 42.2
2007 03 282.0
2007 02 852.1
2007 01 642.1
2006 12 201·8
2006 11 561.9
2006 10 201.9
2006 09 322.0
2006 08 392.0
2006 07 891.9
2006 06 302·0
2006 05 432.0
2006 04 872·0
2006 03 822·0
2006 02 32·1
2006 01 141·8
2005 12 152·0
2005 11 181.9
2005 10 532.1
2005 09 912·0
2005 08 962.0
2005 07 32·0
2005 06 172.1
2005 05 431·9
2005 04 332.1
2005 03 691.9
2005 02 581.9
2005 01 632.1
2004 12 512·0
2004 11 732.0
2004 10 642·1
2004 09 702.0
2004 08 992.1
2004 07 962·0
2004 06 482.2
2004 05 102.2
2004 04 532.1
2004 03 442.1
2004 02 482.1
2004 01 502.1
2002 12 142·2
2002 11 502.1
2002 10 262.1
2002 09 862.1
2002 08 62·2
2002 07 712.0
2002 06 712·2
2002 05 362·1
2002 04 822.2
2002 03 862.1
2002 02 952·2
2002 01 452.1
2001 12 142·1
2001 11 52.3
2001 10 372·2
2001 09 812·1
2001 08 52.1
2001 07 572.1
2001 06 591·9
2001 05 382·0
2001 04 802·1
2001 03 02·0
2001 02 492·0
2001 01 372.0
2000 12 881.9
2000 11 152·0
2000 10 191·8
2000 09 211·8
2000 08 61.8
2000 07 91.9
2000 06 91.8
2000 05 581·9
2000 04 341·8
2000 03 141.9
2000 02 811·8
2000 01 442.0
1999 12 961·8
1999 11 861·9
1999 10 221·9
1999 09 981.9
1999 08 442.1
1999 07 71·9
1999 06 461.8
1999 05 631·9
1999 04 531·9
1999 03 832·1
1999 02 902·0
1999 01 82·0
1998 12 231·9
1998 11 472.0
1998 10 172·0
1998 09 291·9
1998 08 801.9
1998 07 542.1
1998 06 162·0
1998 05 432.1
1998 04 741·8
1998 03 871·9
1998 02 991·9
1998 01 962.0
1997 12 801·9
1997 11 512.0
1997 10 42.1
1997 09 552·1
1997 08 992·1
1997 07 802.1
1997 06 932.0
1997 05 172·1
1997 04 571·9
1997 03 292·1
1997 02 561·9
1997 01 982·0
1996 12 32.0
1996 11 792·0
1996 10 42·1
1996 09 452·1
1996 08 132.0
1996 07 392.0
1996 06 762.2
1996 05 252·1
1996 04 872·1
1996 03 381.9
1996 02 342·1
1996 01 332.0
1995 12 512·0
1995 11 351·8
1995 10 672.0
1995 09 892·0
1995 08 552·0
1995 07 102·0
1995 06 872.0
1995 05 352.0
1995 04 751·9
1995 03 701.9
1995 02 311·9
1995 01 421·9
1994 12 111·9
1994 11 471·9
1993 12 641·9
1993 11 42·0
1993 10 881.9
1993 09 981.8
1993 08 732·0
1993 07 392.0
1993 06 571.9
1993 05 41·9
1993 04 712.0
1993 03 921·9
1993 02 932.2
1993 01 712.0
1992 12 952.0
1992 11 322.0
1992 10 961.9
1992 09 321.9
1992 08 91·9
1992 07 522·0
1992 06 931.9
1992 05 432.0
1992 04 12·0
1992 03 741.9
1992 02 321.9
1992 01 852.0
1991 12 821.9
1991 11 392.0
1991 10 911.9
1991 09 662·0
1991 08 921.9
1991 07 182·0
1991 06 681.9
1991 05 171.9
1991 04 942.0
1991 03 52·0
1991 02 901·9
1991 01 942.0
1990 12 741.9
1990 11 181·7
1990 10 71.9
1990 09 801.8
1990 08 461.8
1990 07 31.9
1990 06 941.7
1990 05 811·9
1990 04 481.9
1990 03 271.8
1990 02 511·8
1990 01 281.8
1989 12 421·9
1989 11 861·9
1989 10 51.9
1989 09 781·8
1989 08 181·9
1989 07 981·9
1989 06 51·9
1989 05 131·8
1989 04 861·8
1989 03 81.9
1989 02 271·8
1989 01 391.9
1988 12 871.8
1988 11 841·8
1988 10 711·8
1988 09 891·9
1988 08 811·9
1988 07 211·8
1988 06 631.8
1988 05 181.8
1988 04 571.8
1988 03 381.7
1988 02 521.9
1988 01 81.8
1987 12 291·8
1987 11 791·8
1987 10 151.8
1987 09 671.8
1987 08 341.8
1987 07 131·8
1987 06 521·8
1987 05 252.0
1987 04 341.8
1987 03 341.9
1987 02 881·8
1987 01 401·7
1986 12 181·8
1986 11 621.8
1986 10 731·8
1986 09 921.8
1986 08 991.8
1986 07 411·8
1986 06 841·8
1986 05 891·8
1986 04 141.8
1986 03 392·0
1986 02 191.9
1986 01 621·8
1985 12 261·8
1985 11 511.7
1985 10 61·9
1985 09 681.7
1985 08 241.8
1985 07 961·8
1985 06 931·8
1985 05 891.8
1985 04 201.7
1985 03 191·8
1985 02 571.8
1985 01 301·7
1984 12 521·8
1984 11 871·8
1984 10 981·9
1984 09 251·8
1984 08 841·8
1984 07 971.9
1984 06 421·9
1984 05 281·8
1984 04 11.8
1984 03 651.8
1984 02 371.8
1984 01 231.9
1983 12 191·9
1983 11 381.9
1983 10 611.8
1983 09 161.8
1983 08 741.9
1983 07 831·8
1983 06 141·8
1983 05 381.8
1983 04 301·8
1983 03 961.9
1983 02 201.8
1983 01 451.8
1982 12 741·8
1982 11 941·8
1982 10 301·7
1982 09 211.8
1982 08 201·7
1982 07 231·8
1982 06 201·7
1982 05 711.7
1982 04 51.8
1982 03 521.8
1982 02 901·8
1982 01 261.7
1981 12 911.8
1981 11 741.7
1981 10 661·8
1981 09 441.7
1981 08 681·6
1981 07 81·7
1981 06 971·6
1981 05 61.7
1981 04 481.7
1981 03 01.7
1981 02 601.7
1981 01 201·7
1980 12 681.7
1980 11 171·7
1980 10 541·7
1980 09 151·8
1980 08 921·7
1980 07 551·7
1980 06 51.7
1980 05 501·7
1980 04 81.6
1980 03 321.8
1980 02 631·8
1980 01 51·7
1979 12 281·6
1979 11 921·6
1979 10 41.6
1979 09 881.8
1979 08 901.7
1979 07 51·8
1979 06 281·7
1979 05 301.7
1979 04 571.7
1979 03 651.8
1979 02 611·8
1979 01 871.8
1978 12 181·7
1978 11 911.7
1978 10 531.6
1978 09 421.7
1978 08 851·6
1978 07 261.7
1978 06 791·7
1978 05 01.7
1978 04 951·6
1978 03 411·8
1978 02 391·8
1978 01 941·8
1977 12 121.7
1977 11 291·7
1977 10 601.6
1977 09 811·6
1977 08 242.0
1977 07 91·7
1977 06 911.8
1977 05 411.8
1977 04 441.8
1977 03 261.8
1977 02 81·8
1977 01 821·7
1976 12 91.7
1976 11 481·8
1976 10 121.9
1976 09 352·0
1976 08 821·8
1976 07 711·8
1976 06 271.6
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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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