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2012 04 3213.6
2012 03 2113·8
2012 02 9414·3
2012 01 4012.7
2011 12 7415·7
2011 11 1216·4
2011 10 7416.0
2011 09 616·6
2011 08 3918·0
2011 07 5817·0
2011 06 1116.9
2011 05 2717·4
2011 04 7617·0
2011 03 4116.8
2011 02 1816·4
2011 01 4716·6
2010 12 6216·8
2010 11 6616.6
2010 10 3316.4
2010 09 3617·4
2010 08 9717.0
2010 07 6616·8
2010 06 1917.3
2010 05 8716·8
2010 04 617·6
2010 03 9719·0
2010 02 6317.9
2010 01 1917·8
2009 12 4017.0
2009 11 4217.1
2009 10 8017·4
2009 09 7716·4
2009 08 7316·8
2009 07 516.2
2009 06 516·3
2009 05 2916·6
2009 04 717·0
2009 03 2015·4
2009 02 415.1
2009 01 7114.3
2008 12 6614.0
2008 11 4312·5
2008 10 6212·1
2008 09 2011.9
2008 08 210.5
2008 07 5510·5
2008 06 949.5
2008 05 228.9
2008 04 898.3
2008 03 648·4
2008 02 368·0
2008 01 458.3
2007 12 288.5
2007 11 08·1
2007 10 538.2
2007 09 837·4
2007 08 446.8
2007 07 207.6
2007 06 318.2
2007 05 568·1
2007 04 888.3
2007 03 78.8
2007 02 847.6
2007 01 87.5
2006 12 357·3
2006 11 668.0
2006 10 508·2
2006 09 88·3
2006 08 868·5
2006 07 309·1
2006 06 928.0
2006 05 508·8
2006 04 658·8
2006 03 558·4
2006 02 968.8
2006 01 537.6
2005 12 238·7
2005 11 229·6
2005 10 778.4
2005 09 618.7
2005 08 368·6
2005 07 388·1
2005 06 739·4
2005 05 448·9
2005 04 59·1
2005 03 369.4
2005 02 4510.8
2005 01 9510·5
2004 12 5310·6
2004 11 7110.5
2004 10 8210.2
2004 09 3410.2
2004 08 3210·5
2004 07 2510·5
2004 06 989.3
2004 05 59·3
2004 04 189·4
2004 03 59·4
2004 02 289·2
2004 01 769.6
2003 12 109·3
2003 11 429.9
2003 10 3810.4
2003 09 4310·9
2003 08 3410.5
2003 07 9310·2
2003 06 1411.1
2003 05 2511.1
2003 04 4010.6
2003 03 409·6
2003 02 7010.3
2003 01 6410.4
2002 12 410.5
2002 11 9010.4
2002 10 429·7
2002 09 329.2
2002 08 279.1
2002 07 749.2
2002 06 9510.2
2002 05 218·7
2002 04 329·3
2002 03 489·6
2002 02 178·9
2002 01 508·9
2001 12 729·0
2001 11 948.5
2001 10 198·1
2001 09 657·8
2001 08 219.1
2001 07 208.0
2001 06 407.8
2001 05 347·8
2001 04 808.1
2001 03 567·9
2001 02 436·7
2001 01 516·9
2000 12 747·1
2000 11 596·8
2000 10 156.9
2000 09 366.6
2000 08 537·1
2000 07 116.7
2000 06 706.8
2000 05 327.0
2000 04 936·5
2000 03 196·6
2000 02 457.5
2000 01 97·7
1999 12 956·9
1999 11 137.1
1999 10 47·7
1999 09 617.4
1999 08 836·1
1999 07 527·3
1999 06 346.4
1999 05 66.5
1999 04 86·3
1999 03 166·0
1999 02 486·6
1999 01 906·0
1998 12 456.5
1998 11 127·0
1998 10 846.7
1998 09 817·2
1998 08 967·5
1998 07 718.5
1998 06 57.4
1998 05 746·8
1998 04 847·7
1998 03 517·8
1998 02 997·7
1998 01 878·0
1997 12 618.4
1997 11 337.7
1997 10 788.1
1997 09 657·9
1997 08 37·7
1997 07 248·1
1997 06 819.5
1997 05 768.5
1997 04 88·7
1997 03 559·2
1997 02 718.8
1997 01 159.1
1996 12 48·2
1996 11 839·5
1996 10 359·3
1996 09 29·7
1996 08 398.6
1996 07 899.2
1996 06 869.5
1996 05 809·6
1996 04 909·7
1996 03 8110.1
1996 02 629·8
1996 01 189.2
1995 12 579.3
1995 11 898.5
1995 10 268·1
1995 09 119·3
1995 08 659.7
1995 07 719.2
1995 06 669.1
1995 05 778.7
1995 04 668.9
1995 03 87.7
1995 02 958·1
1995 01 619.0
1994 12 338·3
1994 11 69.6
1994 10 519·7
1994 09 329.5
1994 08 6710·3
1994 07 9910·2
1994 06 9610·0
1994 05 8510.2
1994 04 9510·4
1994 03 4110·5
1994 02 1912.1
1994 01 3712.1
1993 12 6610.4
1993 11 1412.1
1993 10 3210.9
1993 09 3411.7
1993 08 5611·6
1993 07 2711.7
1993 06 7312.7
1993 05 4412·4
1993 04 6413.2
1993 03 913.4
1993 02 512.4
1993 01 6212.7
1992 12 1713.4
1992 11 1712·8
1992 10 1713.7
1992 09 713·1
1992 08 6513.6
1992 07 3413.7
1992 06 2013·6
1992 05 2314.0
1992 04 8413·3
1992 03 6614.0
1992 02 5313.7
1992 01 7812·9
1991 12 7212·1
1991 11 4411·0
1991 10 7911.3
1991 09 6810·9
1991 08 5711.4
1991 07 2611.6
1991 06 8612.1
1991 05 1212·4
1991 04 8912.1
1991 03 9211.3
1991 02 8611.6
1991 01 5210.7
1990 12 4211·5
1990 11 4911.7
1990 10 1711.5
1990 09 6011.5
1990 08 1710.6
1990 07 3010.5
1990 06 439·4
1990 05 289.4
1990 04 409.7
1990 03 919.7
1990 02 509·8
1990 01 7610.3
1989 12 6110·8
1989 11 1210·5
1989 10 5310·2
1989 09 4810.0
1989 08 559·8
1989 07 29·4
1989 06 899·5
1989 05 149·7
1989 04 2310·0
1989 03 929.8
1989 02 2110·4
1989 01 6610·1
1988 12 909.8
1988 11 379.6
1988 10 369.6
1988 09 259.1
1988 08 79·7
1988 07 219.8
1988 06 4810.1
1988 05 3510·7
1988 04 4910·4
1988 03 4911.0
1988 02 9410·8
1988 01 6510·0
1987 12 1610.1
1987 11 5410·2
1987 10 3810.0
1987 09 810.4
1987 08 3310.9
1987 07 9111·4
1987 06 6711.5
1987 05 8512.1
1987 04 5210·9
1987 03 4311.4
1987 02 9511·5
1987 01 3812·1
1986 12 4711.8
1986 11 1612.9
1986 10 5813·5
1986 09 3813.7
1986 08 2013.4
1986 07 4113.0
1986 06 2013.3
1986 05 7912·6
1986 04 9412·8
1986 03 7612·6
1986 02 7012.8
1986 01 7912·9
1985 12 2113·4
1985 11 213·5
1985 10 1813·7
1985 09 8313.2
1985 08 7612·0
1985 07 2612.9
1985 06 512·4
1985 05 5913.3
1985 04 6013.4
1985 03 7913·4
1985 02 9213.9
1985 01 313·1
1984 12 9713·5
1984 11 1812.5
1984 10 6713.2
1984 09 3313.5
1984 08 3914.2
1984 07 2515·7
1984 06 4414.8
1984 05 9314.1
1984 04 6015.4
1984 03 615·3
1984 02 6014·3
1984 01 5315.3
1983 12 6215·2
1983 11 9315·5
1983 10 7816.1
1983 09 617·0
1983 08 6818.2
1983 07 4218.4
1983 06 8618.9
1983 05 7219·5
1983 04 3119·4
1983 03 3519.1
1983 02 9719·1
1983 01 9420.4
1982 12 2520·7
1982 11 8019.3
1982 10 4919·6
1982 09 4319·2
1982 08 5017·4
1982 07 717·2
1982 06 417.0
1982 05 1216.9
1982 04 3216·5
1982 03 7216·4
1982 02 5116.5
1982 01 2016.6
1981 12 2216·1
1981 11 5915·5
1981 10 214.6
1981 09 1214·0
1981 08 9413·8
1981 07 7312.9
1981 06 9613.7
1981 05 5612.9
1981 04 4911·9
1981 03 4612.5
1981 02 9412·2
1981 01 4711.6
1980 12 1312·0
1980 11 3512·8
1980 10 8612·9
1980 09 414.0
1980 08 3613.5
1980 07 2113·9
1980 06 8413·2
1980 05 7112·5
1980 04 9412·1
1980 03 1010.5
1980 02 2610·6
1980 01 1711·0
1979 12 869.7
1979 11 369.2
1979 10 749.3
1979 09 368.6
1979 08 389.1
1979 07 549·2
1979 06 178·7
1979 05 479·2
1979 04 09·4
1979 03 4510·0
1979 02 689.9
1979 01 969·2
1978 12 489·4
1978 11 179.4
1978 10 648·8
1978 09 498·5
1978 08 839·0
1978 07 18·9
1978 06 698·9
1978 05 39.2
1978 04 299.6
1978 03 549.2
1978 02 699·8
1978 01 7610.8
1977 12 3810.0
1977 11 5810·7
1977 10 7911·7
1977 09 1111·5
1977 08 8312·1
1977 07 1810.6
1977 06 3610.4
1977 05 7910.8
1977 04 678.9
1977 03 6710.5
1977 02 210·6
1977 01 7410·8
1976 12 1411·6
1976 11 6211·9
1976 10 6711.1
1976 09 1410·8
1976 08 7410.9
1976 07 8311·5
1976 06 4211·7
1976 05 4310·4
1976 04 2310·9
1976 03 3811.2
1976 02 6611·9
1976 01 3212·0
1975 12 6212·9
1975 11 5912.9
1975 10 112·4
1975 09 7313.2
1975 08 1612.5
1975 07 112·5
1975 06 3613·1
1975 05 8712·6
1975 04 3413·0
1975 03 4712·5
1975 02 8211·6
1975 01 1711·1
1974 12 9410·0
1974 11 39.0
1974 10 798.4
1974 09 327·9
1974 08 947·3
1974 07 16.3
1974 06 897·2
1974 05 266.7
1974 04 616.7
1974 03 976·8
1974 02 06.9
1974 01 206.3
1973 12 445·2
1973 11 735.8
1973 10 246.0
1973 09 565.9
1973 08 196.1
1973 07 366.4
1973 06 16·1
1973 05 46·4
1973 04 876·3
1973 03 186·1
1973 02 925·8
1973 01 585·7
1972 12 736.0
1972 11 756·3
1972 10 856·6
1972 09 377·0
1972 08 277.2
1972 07 887·8
1972 06 946·5
1972 05 867·0
1972 04 256·7
1972 03 647·0
1972 02 567.6
1972 01 748·1
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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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