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2012 04 9652.9
2012 03 2050·7
2012 02 1246·4
2012 01 7651·5
2011 12 3852·3
2011 11 2746.7
2011 10 7445·1
2011 09 4049·7
2011 08 6649·7
2011 07 5149·4
2011 06 5544·3
2011 05 2051.3
2011 04 2858·4
2011 03 7456·9
2011 02 6849·8
2011 01 6352.6
2010 12 253.6
2010 11 348·9
2010 10 5249.2
2010 09 3645.7
2010 08 8745.0
2010 07 6944·9
2010 06 7050.2
2010 05 3354.1
2010 04 955·7
2010 03 2953.9
2010 02 846.4
2010 01 7542·5
2009 12 1846·7
2009 11 6445·6
2009 10 8141·5
2009 09 543·6
2009 08 8938·8
2009 07 8141.2
2009 06 2634·4
2009 05 9238.7
2009 04 2340.8
2009 03 1135·9
2009 02 537.2
2009 01 3132.9
2008 12 4535·4
2008 11 1333·8
2008 10 835·0
2008 09 4028.6
2008 08 631·3
2008 07 6628·5
2008 06 4628·5
2008 05 6429.6
2008 04 8032·7
2008 03 7731·6
2008 02 5724·5
2008 01 7130·8
2007 12 7026·9
2007 11 7932·6
2007 10 527.8
2007 09 5724·3
2007 08 9928.9
2007 07 2830·6
2007 06 7824·8
2007 05 3925·2
2007 04 1828·7
2007 03 634·3
2007 02 8730.1
2007 01 6326·3
2006 12 228·2
2006 11 1824.6
2006 10 7220.4
2006 09 9827.7
2006 08 5328.3
2006 07 9825·2
2006 06 9527·3
2006 05 3626·6
2006 04 9535.4
2006 03 130·1
2006 02 4431·7
2006 01 9927·1
2005 12 7929·8
2005 11 930.3
2005 10 3129.2
2005 09 2929·8
2005 08 7930·4
2005 07 2927.1
2005 06 9525.0
2005 05 9628·1
2005 04 9829.9
2005 03 9235.0
2005 02 9928.9
2005 01 9532.0
2004 12 5933·1
2004 11 5533.5
2004 10 3031.7
2004 09 4330·4
2004 08 1326.0
2004 07 031·4
2004 06 228·2
2004 05 8632·7
2004 04 3734.9
2004 03 3326·6
2004 02 5228·5
2004 01 9229.5
2003 12 2932·2
2003 11 8630.2
2003 10 4327.3
2003 09 5730·2
2003 08 1631.2
2003 07 1631.7
2003 06 6329.0
2003 05 9725.1
2003 04 4729·1
2003 03 427·4
2003 02 2524·8
2003 01 5924·5
2002 12 9931·0
2002 11 5725·1
2002 10 6727.5
2002 09 1120·5
2002 08 7125·9
2002 07 625·5
2002 06 5122.9
2002 05 4720.6
2002 04 9029.5
2002 03 920.3
2002 02 6618.5
2002 01 8621.4
2001 12 524·6
2001 11 4625.7
2001 10 2520.3
2001 09 7317·7
2001 08 9121·4
2001 07 2518·9
2001 06 6516·5
2001 05 7716.5
2001 04 5015.0
2001 03 7713·5
2001 02 4920·6
2001 01 9119.7
2000 12 724·5
2000 11 5814.5
2000 10 6517.6
2000 09 3516·9
2000 08 1123·0
2000 07 5126·8
2000 06 2719·3
2000 05 5418·1
2000 04 3920·2
2000 03 6223·7
2000 02 7121.1
2000 01 1520.1
1999 12 9122·4
1999 11 2223.8
1999 10 6128·7
1999 09 1422.2
1999 08 9225.6
1999 07 8928.2
1999 06 8523.0
1999 05 6921·8
1999 04 9219·3
1999 03 4421.6
1999 02 5625·0
1999 01 2519.0
1998 12 6726.8
1998 11 9328·9
1998 10 1124·6
1998 09 5125.7
1998 08 1820·9
1998 07 6924·1
1998 06 1324·4
1998 05 4024·4
1998 04 6926.2
1998 03 2725·2
1998 02 5123.4
1998 01 1326.4
1997 12 7130·7
1997 11 5023·4
1997 10 3724.7
1997 09 1224.3
1997 08 029·5
1997 07 4426·9
1997 06 923·2
1997 05 925.4
1997 04 5630·9
1997 03 4123·1
1997 02 3022·0
1997 01 9528·6
1996 12 6429·9
1996 11 9734·2
1996 10 8830.8
1996 09 9129.9
1996 08 7528·3
1996 07 9428·6
1996 06 9531.0
1996 05 4129.6
1996 04 6331·4
1996 03 3927.5
1996 02 9024·4
1996 01 1427.9
1995 12 3126·4
1995 11 6331.5
1995 10 3633.1
1995 09 431.7
1995 08 225·5
1995 07 2333·0
1995 06 2026·1
1995 05 3030·2
1995 04 2735·4
1995 03 132·3
1995 02 5528·4
1995 01 3627.1
1994 12 8237.0
1994 11 330.5
1994 10 8032.2
1994 09 9230·2
1994 08 6733·1
1994 07 6133.4
1994 06 5628.4
1994 05 9131.4
1994 04 735·3
1994 03 3130·6
1994 02 7327·3
1994 01 5324·2
1993 12 5326·9
1993 11 9626·4
1993 10 4225·5
1993 09 2223.9
1993 08 8120·7
1993 07 6120·6
1993 06 316.2
1993 05 6719.6
1993 04 8925.5
1993 03 5920·7
1993 02 1721.8
1993 01 8219·2
1992 12 524·4
1992 11 4621.2
1992 10 7223·4
1992 09 8621.5
1992 08 7820·8
1992 07 419.7
1992 06 8222·3
1992 05 2417·2
1992 04 8415.6
1992 03 3916.0
1992 02 8418.5
1992 01 6416·7
1991 12 2316.2
1991 11 8315.7
1991 10 4112·6
1991 09 111.2
1991 08 2113·0
1991 07 9313.6
1991 06 4215·5
1991 05 5414·1
1991 04 2816·0
1991 03 5016·0
1991 02 9813.6
1991 01 678.7
1990 12 1812.6
1990 11 6115·8
1990 10 4811.8
1990 09 919.4
1990 08 9418·3
1990 07 5712·6
1990 06 5512·3
1990 05 7412·8
1990 04 7914·2
1990 03 9615.6
1990 02 712·9
1990 01 8210.1
1989 12 2614.0
1989 11 5914·1
1989 10 1614·5
1989 09 7613.6
1989 08 714·5
1989 07 5212·4
1989 06 2111.9
1989 05 2611.3
1989 04 2612·8
1989 03 710·5
1989 02 8410.2
1989 01 269·9
1988 12 621.4
1988 11 819.8
1988 10 9411.1
1988 09 9415.4
1988 08 9714·0
1988 07 5612.9
1988 06 6218·0
1988 05 7615.8
1988 04 7716·6
1988 03 3715·9
1988 02 2711·3
1988 01 4017.2
1987 12 4416·2
1987 11 5714.6
1987 10 5317·6
1987 09 8116·0
1987 08 2417.7
1987 07 7313·7
1987 06 2612·7
1987 05 1715·2
1987 04 6814·6
1987 03 6616.5
1987 02 5916.3
1987 01 9313·9
1986 12 5120.0
1986 11 4222·0
1986 10 9218.4
1986 09 7714.7
1986 08 7420.3
1986 07 3317·2
1986 06 8517.2
1986 05 6515.4
1986 04 6112.9
1986 03 9714.7
1986 02 2916·0
1986 01 7417.4
1985 12 6314·4
1985 11 1319·3
1985 10 3417.9
1985 09 5018.9
1985 08 5620.4
1985 07 9115.1
1985 06 3915.1
1985 05 6116.6
1985 04 4024.7
1985 03 5920·7
1985 02 816.8
1985 01 214·8
1984 12 4021·5
1984 11 7720·0
1984 10 2717.6
1984 09 9218·3
1984 08 715.6
1984 07 2420·7
1984 06 1117.9
1984 05 7422·7
1984 04 1618·3
1984 03 922·6
1984 02 9518·2
1984 01 1820·9
1983 12 6722·4
1983 11 6122·2
1983 10 4523·2
1983 09 1819.8
1983 08 8724·0
1983 07 3924·5
1983 06 4718·8
1983 05 9423.4
1983 04 2424·9
1983 03 2323.7
1983 02 1425·4
1983 01 8820·2
1982 12 5620·9
1982 11 2119·1
1982 10 8518.2
1982 09 7216.2
1982 08 8119·8
1982 07 6315.3
1982 06 2113.2
1982 05 3814·9
1982 04 2620·8
1982 03 816.8
1982 02 1220.9
1982 01 613.7
1981 12 4112·8
1981 11 3511·6
1981 10 7014.2
1981 09 1913·2
1981 08 116.9
1981 07 5214.7
1981 06 3212·7
1981 05 4817.0
1981 04 718·3
1981 03 9116.7
1981 02 6313.9
1981 01 8612.5
1980 12 8317·2
1980 11 816.1
1980 10 4812·8
1980 09 5210.6
1980 08 8112.1
1980 07 8511·0
1980 06 39.3
1980 05 9110·5
1980 04 7613·9
1980 03 2811·4
1980 02 6310·5
1980 01 728·3
1979 12 6913·1
1979 11 6916.6
1979 10 9311·0
1979 09 8810.1
1979 08 8313·6
1979 07 659·1
1979 06 808.8
1979 05 5915.3
1979 04 7113.6
1979 03 9811·9
1979 02 3713·6
1979 01 2911.1
1978 12 76.4
1978 11 7310.7
1978 10 215·2
1978 09 6816·7
1978 08 9214·2
1978 07 2316.9
1978 06 3813·9
1978 05 6914·2
1978 04 5117.7
1978 03 416·9
1978 02 3312.2
1978 01 5115.9
1977 12 3414·7
1977 11 9913·7
1977 10 9913.7
1977 09 5922·5
1977 08 1817.0
1977 07 1215.5
1977 06 7515·4
1977 05 6116·9
1977 04 116.9
1977 03 7720.3
1977 02 2316·5
1977 01 5315.9
1976 12 1120.3
1976 11 5015·8
1976 10 3114.9
1976 09 5217·1
1976 08 9720.3
1976 07 1214.0
1976 06 1311·4
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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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