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2012 04 6214.1
2012 03 6116.3
2012 02 6417.9
2012 01 8614·2
2011 12 6713·1
2011 11 4716.1
2011 10 7017.3
2011 09 914.4
2011 08 1913·9
2011 07 1215.5
2011 06 5711.7
2011 05 1214·8
2011 04 7014·3
2011 03 3815·5
2011 02 4015.4
2011 01 3915.4
2010 12 9414.5
2010 11 3318.0
2010 10 5518·3
2010 09 5915.1
2010 08 9211·3
2010 07 2715·9
2010 06 6611.6
2010 05 6615.0
2010 04 8816·0
2010 03 7716·1
2010 02 6116·6
2010 01 8016·9
2009 12 3521.1
2009 11 6621.6
2009 10 5320·7
2009 09 4518.1
2009 08 618·7
2009 07 9817·3
2009 06 7917·8
2009 05 2920.3
2009 04 320.9
2009 03 822.1
2009 02 319·5
2009 01 2717.1
2008 12 5018·8
2008 11 5018·9
2008 10 1118·8
2008 09 5815.5
2008 08 9918.1
2008 07 613·9
2008 06 1817·2
2008 05 6617·5
2008 04 2420·6
2008 03 8318.9
2008 02 6215·0
2008 01 2113·2
2007 12 2514.7
2007 11 1415·4
2007 10 416·3
2007 09 1616.6
2007 08 3018·1
2007 07 5413.3
2007 06 3216·4
2007 05 7115.6
2007 04 8619·6
2007 03 8415.8
2007 02 6112·7
2007 01 2916.0
2006 12 7116·5
2006 11 1318.7
2006 10 2713·0
2006 09 6114·8
2006 08 8514·1
2006 07 7111.6
2006 06 9411.6
2006 05 5915.9
2006 04 5216·3
2006 03 1418·6
2006 02 4914·2
2006 01 4417·4
2005 12 2317.3
2005 11 2613·6
2005 10 616·1
2005 09 5916.2
2005 08 7414·6
2005 07 1112.6
2005 06 110·7
2005 05 7317.3
2005 04 518.5
2005 03 319·1
2005 02 9917·6
2005 01 8111.2
2004 12 4113.8
2004 11 5714·7
2004 10 8715.1
2004 09 116·3
2004 08 3411.9
2004 07 5512·6
2004 06 7714·8
2004 05 7914·9
2004 04 5716.1
2004 03 420·8
2004 02 819.5
2004 01 8216.4
2003 12 1214.6
2003 11 3512.8
2003 10 4317.3
2003 09 617·0
2003 08 2416·4
2003 07 617·2
2003 06 7015.4
2003 05 6915.7
2003 04 4318·0
2003 03 9721.3
2003 02 114.9
2003 01 1517.0
2002 12 4512.9
2002 11 1615·4
2002 10 7415·4
2002 09 1415.0
2002 08 309.9
2002 07 9412·6
2002 06 5215.4
2002 05 6015·3
2002 04 2418·1
2002 03 8718.7
2002 02 2418·1
2002 01 7120.7
2001 12 7713·3
2001 11 7813.9
2001 10 115·5
2001 09 9316.3
2001 08 6413.0
2001 07 7216.1
2001 06 2314·5
2001 05 9315·7
2001 04 8516·0
2001 03 216·9
2001 02 5116.4
2001 01 6714·2
2000 12 6715.0
2000 11 2516.5
2000 10 7410·8
2000 09 3312·6
2000 08 5911·1
2000 07 2110.1
2000 06 47·8
2000 05 3615.8
2000 04 3714.6
2000 03 9816.5
2000 02 8013.8
2000 01 4512·9
1999 12 115.1
1999 11 8713·4
1999 10 6414.0
1999 09 5318·7
1999 08 7712.9
1999 07 4410·9
1999 06 4515·5
1999 05 8012·8
1999 04 1519.2
1999 03 5212·7
1999 02 3411.4
1999 01 7112.4
1998 12 9112·5
1998 11 1716·7
1998 10 7115·4
1998 09 9310.2
1998 08 413·7
1998 07 7114·1
1998 06 1712·4
1998 05 4313·5
1998 04 8013.5
1998 03 7015.7
1998 02 6114.1
1998 01 3710·0
1997 12 7120.9
1997 11 9613.7
1997 10 1614.9
1997 09 2217·6
1997 08 5014·0
1997 07 5617·6
1997 06 1914.5
1997 05 6521·6
1997 04 1821.0
1997 03 8116.6
1997 02 3420·0
1997 01 6115·7
1996 12 118·3
1996 11 2814·2
1996 10 4816·1
1996 09 2916.4
1996 08 5012.6
1996 07 7910·9
1996 06 7510.4
1996 05 1315.3
1996 04 3920·7
1996 03 3921.0
1996 02 5112.9
1996 01 8314·1
1995 12 6917·2
1995 11 4218.8
1995 10 4116·7
1995 09 3312.7
1995 08 6516·8
1995 07 4314·8
1995 06 3112.0
1995 05 8116.9
1995 04 7821·5
1995 03 2415.3
1995 02 3621.8
1995 01 7116·1
1994 12 8312.6
1994 11 9216.8
1994 10 9217.8
1994 09 7420.5
1994 08 8013.0
1994 07 7813·6
1994 06 6211·7
1994 05 8315·0
1994 04 9619·8
1994 03 3918·1
1994 02 3517.7
1994 01 1718.1
1993 12 8012·4
1993 11 5713·8
1993 10 2414.5
1993 09 2111·6
1993 08 79·1
1993 07 3812·2
1993 06 659.1
1993 05 6314.0
1993 04 7919·1
1993 03 1516·6
1993 02 2314.1
1993 01 3713·5
1992 12 2014.1
1992 11 4211·3
1992 10 8513·5
1992 09 649·9
1992 08 817·8
1992 07 312·1
1992 06 6412·9
1992 05 8616·3
1992 04 3716.2
1992 03 422.5
1992 02 9715.8
1992 01 7315.9
1991 12 8913·8
1991 11 7712·5
1991 10 4918·7
1991 09 2012·2
1991 08 6111·3
1991 07 7710·1
1991 06 611·2
1991 05 4517·0
1991 04 621·5
1991 03 8815.6
1991 02 8115·7
1991 01 9212.4
1990 12 9712.7
1990 11 1413.7
1990 10 1314.6
1990 09 319·1
1990 08 3510·9
1990 07 8910·4
1990 06 6410.8
1990 05 5613·3
1990 04 4616.0
1990 03 6916.3
1990 02 2212.5
1990 01 8612.7
1989 12 798·2
1989 11 3511.8
1989 10 011.8
1989 09 6511·7
1989 08 128·2
1989 07 9415·7
1989 06 3610·3
1989 05 6212.1
1989 04 4214·7
1989 03 7712.3
1989 02 9311·0
1989 01 7112.2
1988 12 9710.8
1988 11 4210·9
1988 10 5912.8
1988 09 1210·6
1988 08 2710·4
1988 07 7014.4
1988 06 469·2
1988 05 2810.9
1988 04 715.3
1988 03 6712.6
1988 02 9317.6
1988 01 8911·7
1987 12 3611.5
1987 11 6610.0
1987 10 628.8
1987 09 898.5
1987 08 426·5
1987 07 2211·8
1987 06 4215.0
1987 05 4814.5
1987 04 7414.0
1987 03 1815·8
1987 02 459·6
1987 01 813·9
1986 12 711·0
1986 11 6012·0
1986 10 810.8
1986 09 409.9
1986 08 426.6
1986 07 8011·3
1986 06 9611.5
1986 05 3713·4
1986 04 415·8
1986 03 3412.6
1986 02 9615.2
1986 01 1812.7
1985 12 4415.7
1985 11 410·1
1985 10 2011.1
1985 09 2910.2
1985 08 3712·1
1985 07 9710.6
1985 06 78·4
1985 05 3716.2
1985 04 8414·6
1985 03 4516·8
1985 02 1914.9
1985 01 3712·0
1984 12 911·4
1984 11 315.9
1984 10 4511·0
1984 09 498·4
1984 08 649.3
1984 07 547·8
1984 06 978.9
1984 05 1612·4
1984 04 2313.9
1984 03 411.0
1984 02 148·7
1984 01 715.1
1983 12 8713.7
1983 11 8513·2
1983 10 5710·9
1983 09 1711·4
1983 08 8211·8
1983 07 5311.1
1983 06 1510·7
1983 05 6417.7
1983 04 5713.0
1983 03 9119·2
1983 02 213.5
1983 01 9413.5
1982 12 8919.4
1982 11 414.8
1982 10 5413·9
1982 09 7414.9
1982 08 7710·0
1982 07 2512·9
1982 06 3413.9
1982 05 014·8
1982 04 4715·8
1982 03 1013·7
1982 02 3213.9
1982 01 9015.7
1981 12 5013·2
1981 11 4112·4
1981 10 589·4
1981 09 8810·2
1981 08 607·9
1981 07 2412·4
1981 06 5212·6
1981 05 6412.5
1981 04 7818.3
1981 03 9119.1
1981 02 7615.3
1981 01 1114·7
1980 12 3015·5
1980 11 9911·9
1980 10 1817·2
1980 09 5016·8
1980 08 6611.8
1980 07 299.3
1980 06 9210·7
1980 05 2313·2
1980 04 6115.5
1980 03 8815.0
1980 02 3412.4
1980 01 111·7
1979 12 1610·5
1979 11 810·8
1979 10 810.8
1979 09 767·2
1979 08 568·9
1979 07 448.6
1979 06 110·4
1979 05 7011·1
1979 04 3116.4
1979 03 8014·8
1979 02 2712.9
1979 01 2411.5
1978 12 1713·2
1978 11 2111·4
1978 10 249.8
1978 09 1010.6
1978 08 158.8
1978 07 010.8
1978 06 5410·9
1978 05 2014·5
1978 04 4915.9
1978 03 7216.5
1978 02 516·3
1978 01 7512·4
1977 12 707.7
1977 11 1912.8
1977 10 9011.0
1977 09 179.1
1977 08 5411.9
1977 07 4913·1
1977 06 4711·8
1977 05 1713·3
1977 04 017·1
1977 03 9213·6
1977 02 3914.1
1977 01 6815.9
1976 12 359·7
1976 11 613·5
1976 10 5415·9
1976 09 8915·0
1976 08 811.5
1976 07 7110.9
1976 06 511.6
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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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