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2012 04 3618.6
2012 03 5516·7
2012 02 5717.8
2012 01 422.3
2011 12 8924·3
2011 11 119.2
2011 10 3420.4
2011 09 1220.0
2011 08 3919.3
2011 07 7619.4
2011 06 4522.0
2011 05 5017.9
2011 04 3716.8
2011 03 6316·0
2011 02 014·7
2011 01 6222.2
2010 12 5922.0
2010 11 6819.7
2010 10 3817·4
2010 09 1819.4
2010 08 416.6
2010 07 2219·3
2010 06 2218·8
2010 05 1014·3
2010 04 9913.8
2010 03 8313.3
2010 02 4015·2
2010 01 5920.1
2009 12 9321.5
2009 11 3118·9
2009 10 420.3
2009 09 919.4
2009 08 6218·3
2009 07 7420.5
2009 06 5320·4
2009 05 2820·7
2009 04 621·5
2009 03 4321·6
2009 02 4924·8
2009 01 1234.4
2008 12 5134.0
2008 11 9535·1
2008 10 8035·9
2008 09 7833.2
2008 08 4734.3
2008 07 1232.8
2008 06 6033·9
2008 05 7139·9
2008 04 7029·2
2008 03 032·8
2008 02 2630·5
2008 01 6138·9
2007 12 2040·2
2007 11 9035·7
2007 10 4041·2
2007 09 4136·2
2007 08 2134.1
2007 07 4036.2
2007 06 9232·5
2007 05 3132.7
2007 04 2631.1
2007 03 3127.0
2007 02 9333.4
2007 01 7539·3
2006 12 847·3
2006 11 7040.0
2006 10 8243·5
2006 09 4140.9
2006 08 6936·7
2006 07 8838·8
2006 06 2141·1
2006 05 2533.6
2006 04 3431.5
2006 03 4130·5
2006 02 9928·8
2006 01 4539·4
2005 12 5340·0
2005 11 1335·0
2005 10 2839.8
2005 09 4541.2
2005 08 238·4
2005 07 937·3
2005 06 4636·2
2005 05 9432.2
2005 04 8029·4
2005 03 6026·8
2005 02 1730·4
2005 01 8734.6
2004 12 1437·3
2004 11 2535·3
2004 10 2735·5
2004 09 4336.9
2004 08 5435.8
2004 07 8337.3
2004 06 9035.1
2004 05 629·3
2004 04 7527.4
2004 03 4224·5
2004 02 4422·0
2004 01 4433·6
2003 12 7832.2
2003 11 3428·8
2003 10 5232.1
2003 09 5328·3
2003 08 8831.1
2003 07 1431.1
2003 06 130·5
2003 05 5128.7
2003 04 5425.2
2003 03 6625·1
2003 02 524.7
2003 01 8232·5
2002 12 5431.4
2002 11 9534.1
2002 10 132.9
2002 09 1730.0
2002 08 8733.8
2002 07 3334·1
2002 06 5231.5
2002 05 4729·8
2002 04 7827.5
2002 03 3628·2
2002 02 4629·9
2002 01 9438·6
2001 12 7933·5
2001 11 8738.4
2001 10 9642.9
2001 09 142·8
2001 08 6341.9
2001 07 9237·5
2001 06 4041·5
2001 05 3643.5
2001 04 3241.2
2001 03 8234.7
2001 02 4139.9
2001 01 9548·4
2000 12 1246·1
2000 11 1448.8
2000 10 8645.9
2000 09 9751·1
2000 08 5245.3
2000 07 7147.3
2000 06 8946·0
2000 05 8544·2
2000 04 2737.8
2000 03 5835.9
2000 02 8834·3
2000 01 2847.6
1999 12 3946.6
1999 11 745·2
1999 10 4548.0
1999 09 2246.0
1999 08 1344·0
1999 07 7443.9
1999 06 4837.9
1999 05 8439.7
1999 04 9936·9
1999 03 4333·0
1999 02 1037.7
1999 01 6042.2
1998 12 7245.8
1998 11 1846.1
1998 10 6943.4
1998 09 1843·4
1998 08 3337·1
1998 07 3245.9
1998 06 8839·9
1998 05 5238.9
1998 04 737.5
1998 03 4133.4
1998 02 5530.8
1998 01 8241·1
1997 12 4439.6
1997 11 2838·9
1997 10 8240.5
1997 09 5137.3
1997 08 2137.3
1997 07 9735·3
1997 06 841.6
1997 05 3037·3
1997 04 3730.4
1997 03 8327·9
1997 02 9628·7
1997 01 1142.3
1996 12 1838·2
1996 11 4043·6
1996 10 3333·9
1996 09 1435·6
1996 08 1432·8
1996 07 5035·5
1996 06 3231.8
1996 05 8431.7
1996 04 130.4
1996 03 2126.7
1996 02 3131·4
1996 01 8939·1
1995 12 7837·2
1995 11 8443.3
1995 10 9335·1
1995 09 2337·7
1995 08 7231·3
1995 07 9539.7
1995 06 636.0
1995 05 734.5
1995 04 3328·8
1995 03 3627·3
1995 02 8327.7
1995 01 8340.6
1994 12 3638·0
1994 11 1438.7
1994 10 6229.5
1994 09 2130·6
1994 08 8132·8
1994 07 6136.6
1994 06 533·9
1994 05 1524·0
1994 04 9427·5
1994 03 3222·4
1994 02 123·3
1994 01 8435·4
1993 12 2632.6
1993 11 1027·9
1993 10 6229.1
1993 09 7229·0
1993 08 5127.9
1993 07 229.1
1993 06 2625·5
1993 05 4923.6
1993 04 7023·7
1993 03 3821·5
1993 02 5723.4
1993 01 926.4
1992 12 925.8
1992 11 7629.2
1992 10 4130.2
1992 09 7127.0
1992 08 1725·0
1992 07 9726.1
1992 06 9326·3
1992 05 7825.0
1992 04 7123·6
1992 03 822·9
1992 02 4923·9
1992 01 131·0
1991 12 7031·6
1991 11 4136.3
1991 10 7334.0
1991 09 3330.5
1991 08 4132.3
1991 07 5129·5
1991 06 5228·8
1991 05 9329.8
1991 04 3326.8
1991 03 2227.4
1991 02 130.7
1991 01 2536.0
1990 12 2136·4
1990 11 5944·5
1990 10 5539·8
1990 09 9936·8
1990 08 736·9
1990 07 9439·4
1990 06 7939.7
1990 05 933.6
1990 04 1634.3
1990 03 8433·7
1990 02 5932.7
1990 01 7439·5
1989 12 9744.1
1989 11 1042·5
1989 10 1043.1
1989 09 3839·3
1989 08 2737.7
1989 07 7938.3
1989 06 6939.5
1989 05 7034·0
1989 04 532·6
1989 03 2330·3
1989 02 9935·3
1989 01 6538.6
1988 12 5837.7
1988 11 9839·9
1988 10 8741·8
1988 09 4135.2
1988 08 3534.9
1988 07 8631·8
1988 06 4735·2
1988 05 4233·2
1988 04 1329·5
1988 03 9328·1
1988 02 1728·5
1988 01 3935·4
1987 12 9040.0
1987 11 5239.3
1987 10 5938·4
1987 09 2434·2
1987 08 9332·9
1987 07 1833·9
1987 06 6130·4
1987 05 1729·3
1987 04 7326·8
1987 03 7426·8
1987 02 3629·4
1987 01 6333·6
1986 12 336.2
1986 11 2735.9
1986 10 2237·6
1986 09 3032·0
1986 08 8632.0
1986 07 632.4
1986 06 8329.8
1986 05 1230·1
1986 04 4628·5
1986 03 7126·6
1986 02 528·1
1986 01 2934·1
1985 12 3432·7
1985 11 136.7
1985 10 234·8
1985 09 2433·4
1985 08 2432·0
1985 07 434.1
1985 06 1232.2
1985 05 6828.0
1985 04 1929·5
1985 03 1225·0
1985 02 9727.2
1985 01 5335.9
1984 12 4235·7
1984 11 8036.6
1984 10 4535.0
1984 09 032.1
1984 08 4433·5
1984 07 9133.9
1984 06 7029.1
1984 05 5223.7
1984 04 123.8
1984 03 5123.5
1984 02 924·6
1984 01 7828·7
1983 12 1326.4
1983 11 9226.8
1983 10 2528.2
1983 09 7326.7
1983 08 524·3
1983 07 7125.0
1983 06 621.1
1983 05 5618.7
1983 04 2817·8
1983 03 6917·4
1983 02 6519.9
1983 01 7025·0
1982 12 5725·8
1982 11 9229.4
1982 10 4027.9
1982 09 8629.4
1982 08 9329·0
1982 07 7330·4
1982 06 9329·3
1982 05 9726.7
1982 04 6124·6
1982 03 6926·1
1982 02 1326.5
1982 01 2235.3
1981 12 1136.0
1981 11 5937.7
1981 10 1238·3
1981 09 535·9
1981 08 1933.5
1981 07 5335.0
1981 06 2933·8
1981 05 1630·3
1981 04 8526.2
1981 03 8026·4
1981 02 2526·3
1981 01 4930·6
1980 12 3430.6
1980 11 9831.1
1980 10 9029.1
1980 09 2328·4
1980 08 1830.3
1980 07 8834·0
1980 06 3635.2
1980 05 8137.6
1980 04 1132·7
1980 03 5729.6
1980 02 130.7
1980 01 9443.9
1979 12 1341.2
1979 11 3746·0
1979 10 4840·9
1979 09 5537.6
1979 08 5142·2
1979 07 8440·8
1979 06 6440.8
1979 05 8333.1
1979 04 7434·8
1979 03 8028·5
1979 02 6230.5
1979 01 2341.9
1978 12 5842.2
1978 11 3143.9
1978 10 8243·4
1978 09 4436.5
1978 08 340.4
1978 07 7039.6
1978 06 8434.4
1978 05 3934·0
1978 04 3528·8
1978 03 5227·3
1978 02 5827.0
1978 01 2936·2
1977 12 335·9
1977 11 6035·5
1977 10 1634·2
1977 09 5633·1
1977 08 8534.3
1977 07 9937·3
1977 06 9633.6
1977 05 9127·0
1977 04 7927.1
1977 03 324.7
1977 02 6026·8
1977 01 2729·9
1976 12 1132.0
1976 11 2732.9
1976 10 9833.1
1976 09 8430.6
1976 08 3229·0
1976 07 5232.3
1976 06 2124·6
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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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