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2012 04 2120·0
2012 03 8217·6
2012 02 9815.4
2012 01 7816.1
2011 12 5517·8
2011 11 6416.5
2011 10 4314.5
2011 09 5712.8
2011 08 5616.0
2011 07 4512.5
2011 06 8812·6
2011 05 3517.8
2011 04 7417.2
2011 03 613·3
2011 02 4716.7
2011 01 5512·8
2010 12 8414·9
2010 11 5316.6
2010 10 5719·2
2010 09 8817.5
2010 08 8615·5
2010 07 1913·6
2010 06 8315·8
2010 05 2616·3
2010 04 619.5
2010 03 6019.5
2010 02 1019·7
2010 01 9016.1
2009 12 9516.5
2009 11 5816.4
2009 10 5318.6
2009 09 2319·9
2009 08 2715.9
2009 07 1916·6
2009 06 5020·6
2009 05 9520·4
2009 04 322.7
2009 03 7416.9
2009 02 6216.7
2009 01 9917·6
2008 12 4918·8
2008 11 8216.3
2008 10 7916.5
2008 09 5520·0
2008 08 1416·6
2008 07 2315·4
2008 06 1215·6
2008 05 715.6
2008 04 7521·3
2008 03 314.6
2008 02 112·0
2008 01 2415·0
2007 12 3216.0
2007 11 5512.7
2007 10 713.4
2007 09 116.3
2007 08 914·6
2007 07 3613.5
2007 06 1816.3
2007 05 5514·8
2007 04 5816.7
2007 03 2616.1
2007 02 4816·1
2007 01 3219.3
2006 12 5417·2
2006 11 3213·9
2006 10 3517·5
2006 09 113.0
2006 08 9714·8
2006 07 8713.8
2006 06 4013.4
2006 05 5612·5
2006 04 1215.0
2006 03 4614·2
2006 02 5315·6
2006 01 1517.6
2005 12 5014.7
2005 11 9211.5
2005 10 8613.3
2005 09 2413.2
2005 08 8714·1
2005 07 3013·3
2005 06 7712.1
2005 05 5013·6
2005 04 2315.6
2005 03 9316·7
2005 02 8919·1
2005 01 8917·9
2004 12 8318·8
2004 11 3816·6
2004 10 918·4
2004 09 6015.9
2004 08 1716.6
2004 07 4515.3
2004 06 5115·3
2004 05 615.7
2004 04 116·7
2004 03 2317·3
2004 02 5316·4
2004 01 9716·5
2003 12 3619.0
2003 11 115·3
2003 10 7612.4
2003 09 2711·5
2003 08 4615.4
2003 07 3715.2
2003 06 1116.3
2003 05 1415.9
2003 04 8218·6
2003 03 1215·4
2003 02 6816.7
2003 01 413·6
2002 12 2016·5
2002 11 3414.4
2002 10 8615.0
2002 09 6615.2
2002 08 6012.0
2002 07 3415·3
2002 06 2913·3
2002 05 9215·1
2002 04 2717·5
2002 03 6714·0
2002 02 8318.2
2002 01 417·3
2001 12 7210·8
2001 11 1714·2
2001 10 6213.3
2001 09 4413.0
2001 08 6911.5
2001 07 9013·2
2001 06 413.0
2001 05 8214.9
2001 04 2111·9
2001 03 1713.4
2001 02 7114·9
2001 01 1215.0
2000 12 5116·2
2000 11 5516·2
2000 10 5111.0
2000 09 5311·9
2000 08 1010.7
2000 07 8512.2
2000 06 5813·8
2000 05 5014.7
2000 04 7413.5
2000 03 1514·3
2000 02 2914.6
2000 01 719.3
1999 12 4313.3
1999 11 7615·3
1999 10 2712·5
1999 09 1010.9
1999 08 428·9
1999 07 2412.9
1999 06 4011·6
1999 05 8716·9
1999 04 2212.6
1999 03 4112.0
1999 02 8111·5
1999 01 4612.4
1998 12 5816.1
1998 11 3412·1
1998 10 8811·9
1998 09 5612.8
1998 08 5111·2
1998 07 3510.4
1998 06 2314.0
1998 05 1214·0
1998 04 2614·4
1998 03 015·6
1998 02 7513·0
1998 01 3115.1
1997 12 3312·9
1997 11 1012.7
1997 10 5714.0
1997 09 5913·6
1997 08 4811·1
1997 07 7315.4
1997 06 518.7
1997 05 6519.0
1997 04 7121.7
1997 03 2014.2
1997 02 8416·4
1997 01 4213·7
1996 12 2812·3
1996 11 716·0
1996 10 8114·8
1996 09 1012.5
1996 08 6812.2
1996 07 1710·8
1996 06 914.5
1996 05 1314.6
1996 04 6816·2
1996 03 5615·3
1996 02 615.5
1996 01 2115·5
1995 12 2713·8
1995 11 5514·4
1995 10 3414·4
1995 09 2611·8
1995 08 7214·3
1995 07 7112.3
1995 06 8213·5
1995 05 4916·2
1995 04 5212.9
1995 03 8712.2
1995 02 6316.4
1995 01 3313·8
1994 12 4318.5
1994 11 813.6
1994 10 1416.0
1994 09 4913.0
1994 08 4512·9
1994 07 6614.6
1994 06 9913.5
1994 05 8913·8
1994 04 8416.1
1994 03 1714.5
1994 02 515·6
1994 01 7314.5
1993 12 1013·4
1993 11 4512·5
1993 10 4511·9
1993 09 4510·4
1993 08 988.8
1993 07 5411.4
1993 06 569.1
1993 05 7411.5
1993 04 498·7
1993 03 7712·9
1993 02 310·9
1993 01 5511.7
1992 12 8913·3
1992 11 708.6
1992 10 739·4
1992 09 610·3
1992 08 6710·3
1992 07 158·5
1992 06 788·4
1992 05 7210·1
1992 04 5910·1
1992 03 1912·6
1992 02 5710·5
1992 01 2214·2
1991 12 6511.2
1991 11 149.1
1991 10 7210.2
1991 09 506·4
1991 08 117.3
1991 07 556.3
1991 06 1210.4
1991 05 748·1
1991 04 4714·2
1991 03 2410·5
1991 02 888.8
1991 01 4011·3
1990 12 499.6
1990 11 2910·4
1990 10 408·0
1990 09 178.6
1990 08 178.3
1990 07 16·8
1990 06 307.1
1990 05 989·1
1990 04 7610·0
1990 03 966.2
1990 02 468.0
1990 01 38.0
1989 12 778.9
1989 11 968·9
1989 10 15.7
1989 09 755.5
1989 08 955·4
1989 07 86.5
1989 06 327.7
1989 05 847·2
1989 04 3111·6
1989 03 6310·3
1989 02 36·7
1989 01 258.1
1988 12 911·8
1988 11 196·5
1988 10 26.8
1988 09 166·7
1988 08 819·9
1988 07 567.3
1988 06 414·9
1988 05 18·7
1988 04 219·7
1988 03 8111.0
1988 02 588.7
1988 01 4911·8
1987 12 3111·0
1987 11 279.8
1987 10 167.4
1987 09 567.5
1987 08 347·1
1987 07 496.8
1987 06 310.8
1987 05 3911·4
1987 04 8311·6
1987 03 297.5
1987 02 3212.1
1987 01 4312·0
1986 12 5213.1
1986 11 749·7
1986 10 417·9
1986 09 378.0
1986 08 427·7
1986 07 157·7
1986 06 938·2
1986 05 1511.0
1986 04 7810.3
1986 03 109·4
1986 02 7511.5
1986 01 968.8
1985 12 108.6
1985 11 397.2
1985 10 16.9
1985 09 257.1
1985 08 146·4
1985 07 109·0
1985 06 810·4
1985 05 7110·6
1985 04 9011.7
1985 03 548.8
1985 02 5910·2
1985 01 289·4
1984 12 6310.6
1984 11 287.5
1984 10 4310.5
1984 09 148.1
1984 08 857·0
1984 07 136.2
1984 06 7211.1
1984 05 7413.6
1984 04 3011.0
1984 03 1612.1
1984 02 8311·6
1984 01 7811.3
1983 12 9915·1
1983 11 699·3
1983 10 408.9
1983 09 197.4
1983 08 176·7
1983 07 287·9
1983 06 3210·2
1983 05 1711.4
1983 04 3415.2
1983 03 7513·0
1983 02 6910·7
1983 01 1515·6
1982 12 2714.3
1982 11 1710.9
1982 10 9212·2
1982 09 829.5
1982 08 947.9
1982 07 848.5
1982 06 619·5
1982 05 1412·3
1982 04 6313·2
1982 03 3512·4
1982 02 6613.3
1982 01 2910.1
1981 12 8212·3
1981 11 5010·6
1981 10 199·6
1981 09 717.5
1981 08 296.2
1981 07 365.6
1981 06 5811.0
1981 05 910.1
1981 04 19·6
1981 03 258·4
1981 02 4611.2
1981 01 3810.5
1980 12 2712·0
1980 11 736·7
1980 10 717.1
1980 09 765.8
1980 08 556.3
1980 07 637·4
1980 06 466.9
1980 05 689·5
1980 04 6110·4
1980 03 07·6
1980 02 810·8
1980 01 8310.0
1979 12 4510·1
1979 11 166·7
1979 10 218.3
1979 09 156·5
1979 08 335.5
1979 07 685.8
1979 06 727·4
1979 05 8312.1
1979 04 7612.9
1979 03 388·8
1979 02 7511·4
1979 01 3211·6
1978 12 489.1
1978 11 326·5
1978 10 676·7
1978 09 306.8
1978 08 506·4
1978 07 836.9
1978 06 116·8
1978 05 717·4
1978 04 713.0
1978 03 457·6
1978 02 9411.5
1978 01 7511.2
1977 12 7111·9
1977 11 29.1
1977 10 316·2
1977 09 867·6
1977 08 156·7
1977 07 607.9
1977 06 588.9
1977 05 739.9
1977 04 4110.4
1977 03 508·7
1977 02 3911.2
1977 01 3110·4
1976 12 7412·3
1976 11 297.8
1976 10 628·6
1976 09 776.3
1976 08 656.5
1976 07 796.7
1976 06 398·6
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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
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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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