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2012 04 1756·4
2012 03 3256.6
2012 02 3357·0
2012 01 3356.1
2011 12 7356·1
2011 11 9456·3
2011 10 4056.8
2011 09 8356·1
2011 08 7856.0
2011 07 3655.1
2011 06 2955.9
2011 05 1255.5
2011 04 8055.9
2011 03 3955·4
2011 02 1354·7
2011 01 6556.5
2010 12 5556·1
2010 11 1056·9
2010 10 3056·3
2010 09 1256·5
2010 08 556·2
2010 07 8156.2
2010 06 4356.1
2010 05 4656·6
2010 04 5356·4
2010 03 856.8
2010 02 3956.7
2010 01 8657·0
2009 12 5156.3
2009 11 7356·8
2009 10 3256·1
2009 09 7856·1
2009 08 7456·0
2009 07 8257.1
2009 06 6057.0
2009 05 8856.5
2009 04 2257·1
2009 03 6856·9
2009 02 8556.5
2009 01 1356·0
2008 12 2156.1
2008 11 8655.6
2008 10 9655.7
2008 09 7155.9
2008 08 2156·9
2008 07 1956·5
2008 06 456·7
2008 05 656.8
2008 04 9856·5
2008 03 7355·4
2008 02 4955.8
2008 01 8756·0
2007 12 5156.1
2007 11 8056·7
2007 10 9256·6
2007 09 956.9
2007 08 757·4
2007 07 9757.1
2007 06 2356·3
2007 05 9056.1
2007 04 1555·9
2007 03 455.8
2007 02 5356.1
2007 01 7556.4
2006 12 5156.6
2006 11 956.3
2006 10 2156.1
2006 09 3355.3
2006 08 1655.8
2006 07 4356·5
2006 06 8956.8
2006 05 5856.4
2006 04 3556·3
2006 03 6455.4
2006 02 4655.7
2006 01 6955.9
2005 12 5855.9
2005 11 5256·0
2005 10 455.6
2005 09 1055.0
2005 08 6055.4
2005 07 1455·5
2005 06 155·4
2005 05 5155.5
2005 04 4355·2
2005 03 8254.6
2005 02 055.1
2005 01 8654·4
2004 12 3155·8
2004 11 1255·4
2004 10 8956.2
2004 09 3356·3
2004 08 7556.5
2004 07 8756.6
2004 06 8256·9
2004 05 3756.5
2004 04 5056.2
2004 03 1356.7
2004 02 1455·2
2004 01 6755.2
2003 12 5654.7
2003 11 2155.3
2003 10 5155.5
2003 09 1754·9
2003 08 2055·5
2003 07 6855·9
2003 06 7956.6
2003 05 655·9
2003 04 9156·7
2003 03 3656.7
2003 02 1156·5
2003 01 7957.0
2002 12 4456·8
2002 11 3156·7
2002 10 8657·1
2002 09 557·6
2002 08 8157·2
2002 07 8557·9
2002 06 6657.6
2002 05 7757·1
2002 04 2658·2
2002 03 5558.1
2002 02 3958.4
2002 01 1558·1
2001 12 3058.1
2001 11 2257·4
2001 10 1858.4
2001 09 6357.1
2001 08 6957·7
2001 07 9356·9
2001 06 4156·7
2001 05 9057.0
2001 04 4257.1
2001 03 058.7
2001 02 7158·2
2001 01 9157.4
2000 12 7558.1
2000 11 9958·5
2000 10 9557·8
2000 09 8358·4
2000 08 1956.7
2000 07 7256·0
2000 06 2757·3
2000 05 1357·3
2000 04 4857.0
2000 03 2558.0
2000 02 557·3
2000 01 4857·7
1999 12 6456.4
1999 11 9156·0
1999 10 9156·0
1999 09 8356.4
1999 08 9256·1
1999 07 2555.7
1999 06 7256·3
1999 05 3755.4
1999 04 8155·0
1999 03 956·6
1999 02 6356·2
1999 01 5455·4
1998 12 855.8
1998 11 5154·6
1998 10 255·9
1998 09 356·7
1998 08 7355.7
1998 07 8155·9
1998 06 4956·6
1998 05 7955·7
1998 04 155.1
1998 03 5756.2
1998 02 9555.0
1998 01 054.0
1997 12 4355·3
1997 11 6054.7
1997 10 5255.4
1997 09 1155.4
1997 08 7456·0
1997 07 9656·5
1997 06 5754.8
1997 05 8054.4
1997 04 9453·2
1997 03 9854·7
1997 02 7355·3
1997 01 355·7
1996 12 2855.1
1996 11 2156.1
1996 10 8954.6
1996 09 9854.3
1996 08 2854·3
1996 07 4853.2
1996 06 1752.0
1996 05 951.5
1996 04 6951·8
1996 03 8652.5
1996 02 9552·5
1996 01 552·2
1995 12 5052·4
1995 11 6553.2
1995 10 8653.8
1995 09 8153·9
1995 08 9853·0
1995 07 4253·2
1995 06 7852·4
1995 05 5651.4
1995 04 6352.2
1995 03 052.2
1995 02 8451.9
1995 01 7351.5
1994 12 1952·7
1994 11 4453.6
1994 10 4253·7
1994 09 253·2
1994 08 6953.0
1994 07 753·4
1994 06 1452.8
1994 05 3853·0
1994 04 3652·7
1994 03 4553·1
1994 02 8852.2
1994 01 9950·8
1993 12 7152·4
1993 11 3952·5
1993 10 7852·7
1993 09 2951·2
1993 08 5051.7
1993 07 9752·7
1993 06 2152.2
1993 05 9752·1
1993 04 7351.9
1993 03 5052.5
1993 02 8151.3
1993 01 9851.5
1992 12 6651·6
1992 11 5451.8
1992 10 4451.6
1992 09 5152·3
1992 08 7853·3
1992 07 9254.3
1992 06 2553.9
1992 05 053.3
1992 04 8653.0
1992 03 6953·5
1992 02 6052.6
1992 01 1452.4
1991 12 8952.0
1991 11 1851.7
1991 10 1352.5
1991 09 8751.9
1991 08 1352.9
1991 07 9554.1
1991 06 7153.0
1991 05 3952·2
1991 04 952.0
1991 03 8252·2
1991 02 4851.8
1991 01 1352·0
1990 12 5251·2
1990 11 8651·0
1990 10 8151·5
1990 09 7852.5
1990 08 4253·9
1990 07 3754·8
1990 06 3455·3
1990 05 3054·2
1990 04 453·6
1990 03 9353.4
1990 02 9452.7
1990 01 8652·9
1989 12 8953.2
1989 11 3654.3
1989 10 7351·8
1989 09 9152·5
1989 08 7353.7
1989 07 7155.0
1989 06 1154.1
1989 05 1554·6
1989 04 5554.3
1989 03 3152·8
1989 02 7053·1
1989 01 5153·1
1988 12 6252·1
1988 11 7353.9
1988 10 3753·6
1988 09 1853.2
1988 08 4353·1
1988 07 7753·7
1988 06 2654.7
1988 05 6152·3
1988 04 7452.0
1988 03 5152.1
1988 02 7454·5
1988 01 4952.9
1987 12 5652·2
1987 11 2653.2
1987 10 4553·0
1987 09 7652·0
1987 08 1352.8
1987 07 5951·9
1987 06 2652·4
1987 05 6052.2
1987 04 9652·3
1987 03 3250·7
1987 02 3050·9
1987 01 4750.0
1986 12 8150·6
1986 11 5050·7
1986 10 9651·8
1986 09 551.4
1986 08 6751.6
1986 07 4751.8
1986 06 8551·4
1986 05 2948.7
1986 04 8148.7
1986 03 7748.1
1986 02 8648.6
1986 01 3748.3
1985 12 7348.4
1985 11 2449·5
1985 10 1250·3
1985 09 7450.7
1985 08 1850.1
1985 07 9449.6
1985 06 048·5
1985 05 947·9
1985 04 1648·8
1985 03 1749.6
1985 02 1449.2
1985 01 3648·3
1984 12 9350·5
1984 11 5250·3
1984 10 4250.3
1984 09 7450·5
1984 08 9950.5
1984 07 8050.6
1984 06 9550·1
1984 05 6748·9
1984 04 948.3
1984 03 649.3
1984 02 1347.4
1984 01 8548.9
1983 12 2547·9
1983 11 6448.5
1983 10 5847.5
1983 09 2248.4
1983 08 7149.0
1983 07 948·9
1983 06 1848.3
1983 05 9646.8
1983 04 9847·1
1983 03 2346.4
1983 02 646.6
1983 01 5247·0
1982 12 8247.2
1982 11 1347·8
1982 10 6048·5
1982 09 5948.0
1982 08 2148·5
1982 07 1049·2
1982 06 4248.5
1982 05 1149.3
1982 04 4348.2
1982 03 7247·4
1982 02 4147·6
1982 01 2746.8
1981 12 9747.2
1981 11 7948·6
1981 10 6948·6
1981 09 5247·3
1981 08 5948.8
1981 07 3949·8
1981 06 6448·4
1981 05 5448·6
1981 04 2948·3
1981 03 8347.2
1981 02 9048.6
1981 01 2947·7
1980 12 3247·5
1980 11 6748.0
1980 10 3447.7
1980 09 9446.0
1980 08 1948.0
1980 07 7448·4
1980 06 947·6
1980 05 9447.0
1980 04 6647·1
1980 03 947·4
1980 02 5246.9
1980 01 9847·6
1979 12 7348.5
1979 11 548·2
1979 10 2847·9
1979 09 047.3
1979 08 6447.1
1979 07 1947·4
1979 06 2347.1
1979 05 2046·0
1979 04 9146.8
1979 03 3147.2
1979 02 5048.3
1979 01 147·5
1978 12 2949·1
1978 11 4949·0
1978 10 4949·4
1978 09 1346.7
1978 08 7846·3
1978 07 447.0
1978 06 8046·6
1978 05 5045.5
1978 04 6445·5
1978 03 5245.5
1978 02 3344·0
1978 01 3144.5
1977 12 3645·0
1977 11 7645.0
1977 10 1944·6
1977 09 045.1
1977 08 7144·9
1977 07 8345·3
1977 06 7844.7
1977 05 2643.6
1977 04 7043.8
1977 03 243·0
1977 02 7243.4
1977 01 442.4
1976 12 5644·3
1976 11 9344·3
1976 10 8844.7
1976 09 5245.2
1976 08 8143.8
1976 07 3545.4
1976 06 4045.6
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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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