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2012 04 102.1
2012 03 532·1
2012 02 862·1
2012 01 312·1
2011 12 332.1
2011 11 392·2
2011 10 02·1
2011 09 942·1
2011 08 842.1
2011 07 852.2
2011 06 762·1
2011 05 192.2
2011 04 142.1
2011 03 742·1
2011 02 292.1
2011 01 492·1
2010 12 992.2
2010 11 132.2
2010 10 962.2
2010 09 542·1
2010 08 392·1
2010 07 322.2
2010 06 412·2
2010 05 272.1
2010 04 592·2
2010 03 892.2
2010 02 502·2
2010 01 882·1
2009 12 112·2
2009 11 652·1
2009 10 372.2
2009 09 802·2
2009 08 682·2
2009 07 662·2
2009 06 402·2
2009 05 742·2
2009 04 322·2
2009 03 262·2
2009 02 212.2
2009 01 632.2
2008 12 282.2
2008 11 992·2
2008 10 692.2
2008 09 662·1
2008 08 62·1
2008 07 682.1
2008 06 962.1
2008 05 282·1
2008 04 422·0
2008 03 392.0
2008 02 412·0
2008 01 172.0
2007 12 362·0
2007 11 452.1
2007 10 662·1
2007 09 282.0
2007 08 142.0
2007 07 412.1
2007 06 592.0
2007 05 792·0
2007 04 252.0
2007 03 92.1
2007 02 331.9
2007 01 162·1
2006 12 462·0
2006 11 561.9
2006 10 262·0
2006 09 72·0
2006 08 771.9
2006 07 141·9
2006 06 01.9
2006 05 462.0
2006 04 432·0
2006 03 392·0
2006 02 451·9
2006 01 531·9
2005 12 942·0
2005 11 132·0
2005 10 722·0
2005 09 712.0
2005 08 62·0
2005 07 432·0
2005 06 192.0
2005 05 692.0
2005 04 792·0
2005 03 592·0
2005 02 502·0
2005 01 432·1
2004 12 392.0
2004 11 202·0
2004 10 512·1
2004 09 112.0
2004 08 362.1
2004 07 62.1
2004 06 372.1
2004 05 162.2
2004 04 452·2
2004 03 242·1
2004 02 452.1
2004 01 292·1
2002 12 682.1
2002 11 52·1
2002 10 382·1
2002 09 432.1
2002 08 282.2
2002 07 72.1
2002 06 42.2
2002 05 782.1
2002 04 772.2
2002 03 112.1
2002 02 552·2
2002 01 782.0
2001 12 902·1
2001 11 232·2
2001 10 302.2
2001 09 112·1
2001 08 682·0
2001 07 762.1
2001 06 912.0
2001 05 732.0
2001 04 352·0
2001 03 262·0
2001 02 272.0
2001 01 812.0
2000 12 422.0
2000 11 541·9
2000 10 501·9
2000 09 812·0
2000 08 652·0
2000 07 671.9
2000 06 981·9
2000 05 411.9
2000 04 41.9
2000 03 982·0
2000 02 341·9
2000 01 551.9
1999 12 841·9
1999 11 11·9
1999 10 461.9
1999 09 441.9
1999 08 562·0
1999 07 602.0
1999 06 471.9
1999 05 502·0
1999 04 952.0
1999 03 812·0
1999 02 742.0
1999 01 432.0
1998 12 22·0
1998 11 952.0
1998 10 911.9
1998 09 171.9
1998 08 12·0
1998 07 592.0
1998 06 862.0
1998 05 912·0
1998 04 442·0
1998 03 541.9
1998 02 712·0
1998 01 102.0
1997 12 61·9
1997 11 882.0
1997 10 842·1
1997 09 422.0
1997 08 862.0
1997 07 922·0
1997 06 882.0
1997 05 822.0
1997 04 111.9
1997 03 232.0
1997 02 722.0
1997 01 482·0
1996 12 312·0
1996 11 622.1
1996 10 472·0
1996 09 862.0
1996 08 212.1
1996 07 152·1
1996 06 522.1
1996 05 642·0
1996 04 822.1
1996 03 152·0
1996 02 502·0
1996 01 752.0
1995 12 392·0
1995 11 192·0
1995 10 282.0
1995 09 411·9
1995 08 422·0
1995 07 72.0
1995 06 01·9
1995 05 32.0
1995 04 672.0
1995 03 862.0
1995 02 32·0
1995 01 332·0
1994 12 141.4
1994 11 891.5
1993 12 11.9
1993 11 231.9
1993 10 91.9
1993 09 711.9
1993 08 801.9
1993 07 932·0
1993 06 21·9
1993 05 151.9
1993 04 551·9
1993 03 871.9
1993 02 682·0
1993 01 271·9
1992 12 631·9
1992 11 741.9
1992 10 81·9
1992 09 381·9
1992 08 662·0
1992 07 482·0
1992 06 471·9
1992 05 61.9
1992 04 531.9
1992 03 291.9
1992 02 351.9
1992 01 112.0
1991 12 371·9
1991 11 611·9
1991 10 491.8
1991 09 611·8
1991 08 561.9
1991 07 131·9
1991 06 881·9
1991 05 871·9
1991 04 711·9
1991 03 781·9
1991 02 771.9
1991 01 471·9
1990 12 721·8
1990 11 761.8
1990 10 681·9
1990 09 201.8
1990 08 711.8
1990 07 521·8
1990 06 351·8
1990 05 151.9
1990 04 71.8
1990 03 741·8
1990 02 791.8
1990 01 621·8
1989 12 411·8
1989 11 361·9
1989 10 251·9
1989 09 191·8
1989 08 621.8
1989 07 581.8
1989 06 241·8
1989 05 671.8
1989 04 831·7
1989 03 841·8
1989 02 511.8
1989 01 131·8
1988 12 411·7
1988 11 821.7
1988 10 71.7
1988 09 881·7
1988 08 01·8
1988 07 481.7
1988 06 161·8
1988 05 491·7
1988 04 471·6
1988 03 991.7
1988 02 301·8
1988 01 771·8
1987 12 961·8
1987 11 811·8
1987 10 231·8
1987 09 801.7
1987 08 841.7
1987 07 631.8
1987 06 961.8
1987 05 891.7
1987 04 741·7
1987 03 381·8
1987 02 751.8
1987 01 601.7
1986 12 541·7
1986 11 261·7
1986 10 91·7
1986 09 751·7
1986 08 361.8
1986 07 701·8
1986 06 751·8
1986 05 421·8
1986 04 601·8
1986 03 411.8
1986 02 721·8
1986 01 901.8
1985 12 871·8
1985 11 321.7
1985 10 261.7
1985 09 781·8
1985 08 61.8
1985 07 621.8
1985 06 871.8
1985 05 871·8
1985 04 291.7
1985 03 751·8
1985 02 321.7
1985 01 221.8
1984 12 941·7
1984 11 421·8
1984 10 591.8
1984 09 171.7
1984 08 651.8
1984 07 541·8
1984 06 951.8
1984 05 281.8
1984 04 281.8
1984 03 331.7
1984 02 901.8
1984 01 361·8
1983 12 981.8
1983 11 221.7
1983 10 191.8
1983 09 471·8
1983 08 121·7
1983 07 891·8
1983 06 831.8
1983 05 951·8
1983 04 321·8
1983 03 301.8
1983 02 61.8
1983 01 341·8
1982 12 471·8
1982 11 641.8
1982 10 411·7
1982 09 481.7
1982 08 701·8
1982 07 341·8
1982 06 611.7
1982 05 421.8
1982 04 381·8
1982 03 101·8
1982 02 681.8
1982 01 481.7
1981 12 141·7
1981 11 851.7
1981 10 861·7
1981 09 221·7
1981 08 871.7
1981 07 801·8
1981 06 661·7
1981 05 481·7
1981 04 681·7
1981 03 371.7
1981 02 831.7
1981 01 301·7
1980 12 971·7
1980 11 271.7
1980 10 391.7
1980 09 11.7
1980 08 351.7
1980 07 441.7
1980 06 581.7
1980 05 171.7
1980 04 721·7
1980 03 51.7
1980 02 901·7
1980 01 611.7
1979 12 191.6
1979 11 571.7
1979 10 111·7
1979 09 381.7
1979 08 141.7
1979 07 671.7
1979 06 221·7
1979 05 801·6
1979 04 211.7
1979 03 311.7
1979 02 471.7
1979 01 441·7
1978 12 281·6
1978 11 661.7
1978 10 381·7
1978 09 121.7
1978 08 461·7
1978 07 181·6
1978 06 691.6
1978 05 901.7
1978 04 151.6
1978 03 551·7
1978 02 411·7
1978 01 91.7
1977 12 971·7
1977 11 711.8
1977 10 791·7
1977 09 271.7
1977 08 801.7
1977 07 861.6
1977 06 351.7
1977 05 261.7
1977 04 761·7
1977 03 441·7
1977 02 821·7
1977 01 111·7
1976 12 241.8
1976 11 141·7
1976 10 221.7
1976 09 141·7
1976 08 871.7
1976 07 901·7
1976 06 791·8
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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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