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2012 04 821·
2012 03 544.
2012 02 924.
2012 01 811.
2011 12 325.
2011 11 15·
2011 10 5210·
2011 09 525·
2011 08 499.
2011 07 483·
2011 06 132·
2011 05 962·
2011 04 826.
2011 03 745·
2011 02 884.
2011 01 824.
2010 12 83.
2010 11 875.
2010 10 149.
2010 09 808.
2010 08 259.
2010 07 197.
2010 06 554.
2010 05 847·
2010 04 616.
2010 03 253·
2010 02 982·
2010 01 135·
2009 12 654·
2009 11 893.
2009 10 572.
2009 09 122.
2009 08 135·
2009 07 159·
2009 06 698.
2009 05 4911.
2009 04 52.
2009 03 374.
2009 02 974.
2009 01 195·
2008 12 662.
2008 11 106·
2008 10 291.
2008 09 414·
2008 08 483.
2008 07 165.
2008 06 786·
2008 05 593·
2008 04 244.
2008 02 621·
2007 12 820.
2007 11 412.
2007 10 961·
2007 09 801.
2007 08 43·
2007 05 835.
2007 04 894.
2007 03 266.
2007 02 316.
2007 01 34·
2006 12 545·
2006 11 817·
2006 10 772.
2006 09 460.
2006 07 651.
2006 06 5410.
2006 05 794.
2006 04 803·
2006 03 242.
2006 02 742·
2006 01 01.
2005 12 14·
2005 11 5510·
2005 10 995·
2005 09 292·
2005 08 263.
2005 07 95·
2005 06 105.
2005 05 772·
2005 04 02·
2005 03 612·
2005 02 145.
2005 01 842·
2004 12 927.
2004 11 122.
2004 09 430.
2004 07 115·
2004 06 972.
2004 05 880.
2004 04 534.
2004 03 477.
2004 02 334·
2004 01 3810·
2003 12 265.
2003 11 56.
2003 10 4510.
2003 08 381·
2003 07 691.
2003 06 2212·
2003 05 16·
2003 04 880·
2003 03 132.
2002 12 612.
2002 11 972.
2002 10 142·
2002 09 154.
2002 08 1112·
2002 07 5015·
2002 06 6611.
2002 05 568·
2002 04 845.
2002 01 63·
2001 12 192.
2001 11 432.
2001 10 182·
2001 09 334.
2001 08 745·
2001 07 83·
2001 06 762.
2001 05 255·
2001 04 571.
2001 03 82.
2001 02 461.
2001 01 22.
2000 12 172·
2000 11 236·
2000 10 413.
2000 09 82·
2000 08 3114.
2000 07 612·
2000 06 984.
2000 05 117.
2000 04 982.
2000 03 541·
2000 02 812.
2000 01 73·
1999 12 434·
1999 11 587.
1999 10 776·
1999 09 144.
1999 08 184·
1999 07 5421·
1999 06 9915·
1999 05 7622·
1999 04 9815·
1999 03 497·
1999 02 864.
1999 01 622.
1998 12 826.
1998 11 759·
1998 10 011.
1998 09 688.
1998 08 9717·
1998 07 8924·
1998 06 2816·
1998 05 105.
1998 04 934·
1998 03 720·
1997 12 851·
1997 11 352·
1997 10 455·
1997 09 319·
1997 08 732.
1997 07 1120.
1997 06 5325·
1997 05 9718.
1997 04 5816·
1997 03 324·
1997 02 444·
1997 01 2710·
1996 12 2610·
1996 11 175.
1996 10 666·
1996 09 37·
1996 08 2324.
1996 07 1016.
1996 06 9711.
1996 05 3210·
1996 04 878·
1996 03 821·
1996 02 367.
1996 01 448.
1995 12 816·
1995 11 2512.
1995 10 812.
1995 09 9717·
1995 08 9446·
1995 07 5845.
1995 06 6441·
1995 05 7331·
1995 04 3729·
1995 03 2723.
1995 02 7912·
1995 01 7711.
1994 12 5011.
1994 11 022.
1994 10 5417·
1994 09 4220·
1994 08 9438·
1994 07 7135.
1994 06 1549·
1994 05 2429.
1994 04 5819·
1994 03 6026.
1994 02 1021·
1994 01 527.
1993 12 544.
1993 11 106·
1993 10 1714.
1993 09 9217·
1993 08 2117.
1993 07 9026·
1993 06 3526.
1993 05 155·
1993 04 219.
1993 03 965.
1993 02 895·
1993 01 335.
1992 12 435·
1992 11 464.
1992 10 313·
1992 09 2616·
1992 08 9821·
1992 07 8319·
1992 06 3513.
1992 05 013·
1992 04 266.
1992 03 7810.
1992 02 16·
1992 01 8913.
1991 12 889.
1991 11 259·
1991 10 5615.
1991 09 4811.
1991 08 7317.
1991 07 4213.
1991 06 5014·
1991 05 5921·
1991 04 9414·
1991 03 7312·
1991 02 589·
1991 01 2811.
1990 12 8810·
1990 11 898·
1990 10 8030·
1990 09 8817·
1990 08 1932·
1990 07 8224·
1990 06 4123.
1990 05 956·
1990 04 758·
1990 03 722.
1990 02 931·
1990 01 3011.
1989 12 676.
1989 11 415.
1989 10 1117.
1989 09 120·
1989 08 3530·
1989 07 4627.
1989 06 9423·
1989 05 3817.
1989 04 4022·
1989 03 9311.
1989 02 6910·
1989 01 9926·
1988 12 728·
1988 11 6312.
1988 10 856.
1988 09 6519.
1988 08 4216.
1988 07 118·
1988 06 1920.
1988 05 4223.
1988 04 8912.
1988 03 762.
1988 02 706.
1988 01 634.
1987 12 767·
1987 11 821.
1987 10 648·
1987 09 8411.
1987 08 9011.
1987 07 3921.
1987 06 5114.
1987 05 8714.
1987 04 4412.
1987 03 894.
1987 02 76.
1987 01 786.
1986 12 776·
1986 11 42.
1986 10 3311·
1986 09 899.
1986 08 5114.
1986 07 7617·
1986 06 5218.
1986 05 7615·
1986 04 5316.
1986 03 249.
1986 02 164.
1986 01 2210·
1985 12 988·
1985 11 945·
1985 10 113·
1985 09 3320·
1985 08 2322.
1985 07 5319.
1985 06 613·
1985 05 4020·
1985 04 9011·
1985 03 9711.
1985 02 5811·
1985 01 09·
1984 12 8815.
1984 11 4415.
1984 10 513·
1984 09 9518.
1984 08 2928·
1984 07 3938.
1984 06 2516·
1984 05 3215.
1984 04 524.
1984 03 5011.
1984 02 176.
1984 01 428·
1983 12 1916·
1983 11 7320·
1983 10 618·
1983 09 8120.
1983 08 1824·
1983 07 2523.
1983 06 4316.
1983 05 3215·
1983 04 639·
1983 03 5110.
1983 02 45.
1983 01 07·
1982 12 9012·
1982 11 2010·
1982 10 8816.
1982 09 1913·
1982 08 6327·
1982 07 2729·
1982 06 2227.
1982 05 4324.
1982 04 7022.
1982 03 9010·
1982 02 554·
1982 01 567·
1981 12 2315.
1981 11 5316·
1981 10 6317.
1981 09 6319·
1981 08 6117·
1981 07 8720.
1981 06 4643·
1981 05 9630·
1981 04 4617.
1981 03 8419·
1981 02 3110.
1981 01 1318.
1980 12 6711·
1980 11 648·
1980 10 6619·
1980 09 9325·
1980 08 3524.
1980 07 7226.
1980 06 2717.
1980 05 4514.
1980 04 9012.
1980 03 769.
1980 02 1610.
1980 01 998·
1979 12 9412·
1979 11 7016.
1979 10 5710.
1979 09 1313.
1979 08 3422·
1979 07 7418·
1979 06 018.
1979 05 6818·
1979 04 2516.
1979 03 3210.
1979 02 226.
1979 01 7110.
1978 12 318·
1978 11 1216.
1978 10 2232.
1978 09 5317·
1978 08 3122·
1978 07 1022·
1978 06 2618.
1978 05 7119·
1978 04 9812.
1978 03 4414·
1978 02 8420·
1978 01 717.
1977 12 1619·
1977 11 5816.
1977 10 727·
1977 09 6613·
1977 08 2318·
1977 07 2123.
1977 06 8930.
1977 05 8216·
1977 04 8316.
1977 03 297·
1977 02 624.
1977 01 105.
1976 12 825.
1976 11 986.
1976 10 4111.
1976 09 3312·
1976 08 3428·
1976 07 7532.
1976 06 122.
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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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