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2012 04 1118.4
2012 03 3413·9
2012 02 6017·1
2012 01 7719·6
2011 12 218·0
2011 11 4916.5
2011 10 3816·4
2011 09 1718·6
2011 08 1518.7
2011 07 1817.9
2011 06 7320.5
2011 05 1120.3
2011 04 115.6
2011 03 2411.8
2011 02 7913·8
2011 01 519.2
2010 12 3520.5
2010 11 7316.1
2010 10 9317·3
2010 09 6719·1
2010 08 1915.0
2010 07 9619.8
2010 06 7719.1
2010 05 9116.3
2010 04 7614·6
2010 03 5113.5
2010 02 2015·6
2010 01 9719·8
2009 12 5819·1
2009 11 1918·0
2009 10 3519.9
2009 09 2817.0
2009 08 4017.3
2009 07 621·9
2009 06 5920·3
2009 05 5419·9
2009 04 2220.8
2009 03 4420.6
2009 02 5521·4
2009 01 6932·0
2008 12 3029.5
2008 11 9130·0
2008 10 1229.0
2008 09 9228.9
2008 08 1431.3
2008 07 2630·2
2008 06 4230.5
2008 05 6735.0
2008 04 4928.3
2008 03 5830·5
2008 02 8329.5
2008 01 6432·4
2007 12 3735.1
2007 11 1832·4
2007 10 9837·0
2007 09 7532·4
2007 08 229·6
2007 07 6232·7
2007 06 7531.5
2007 05 2233.3
2007 04 9431.9
2007 03 7229.5
2007 02 2733·2
2007 01 4735.7
2006 12 8937·1
2006 11 5535·7
2006 10 9135.5
2006 09 2034.5
2006 08 8834·6
2006 07 4238.9
2006 06 3139·2
2006 05 3630.4
2006 04 1632·0
2006 03 9030.0
2006 02 3426.0
2006 01 1236·2
2005 12 2330·5
2005 11 8031.7
2005 10 1433·2
2005 09 9438·0
2005 08 8431·3
2005 07 2031.3
2005 06 736.3
2005 05 5035·2
2005 04 129.4
2005 03 4124.9
2005 02 7829.9
2005 01 7431·8
2004 12 9833·8
2004 11 9932·3
2004 10 1431·9
2004 09 8731.0
2004 08 2628·4
2004 07 7732·5
2004 06 2733.9
2004 05 3127·0
2004 04 5926·0
2004 03 8024·2
2004 02 5720·9
2004 01 7629·1
2003 12 026·1
2003 11 4126.1
2003 10 6531·3
2003 09 1725·4
2003 08 7225·9
2003 07 1626·9
2003 06 3927·8
2003 05 7129·2
2003 04 2725.1
2003 03 8624.1
2003 02 9327·4
2003 01 8431.0
2002 12 4028.1
2002 11 5932·8
2002 10 6531.1
2002 09 2531.6
2002 08 1132.2
2002 07 6634·3
2002 06 1628.7
2002 05 8827·5
2002 04 6526·8
2002 03 6430.8
2002 02 3629·1
2002 01 9135·7
2001 12 5330·4
2001 11 3435.1
2001 10 3638.2
2001 09 7935.7
2001 08 5036·3
2001 07 8338·2
2001 06 5646·4
2001 05 2239·4
2001 04 5838·6
2001 03 4233·7
2001 02 5738·4
2001 01 1242.9
2000 12 042·3
2000 11 6942·0
2000 10 2840·4
2000 09 7043.6
2000 08 2740·7
2000 07 4441.7
2000 06 8145.8
2000 05 4036.6
2000 04 1632.6
2000 03 7538·9
2000 02 5535.2
2000 01 9043.2
1999 12 6640·3
1999 11 9437.1
1999 10 1244.7
1999 09 1541·6
1999 08 241.2
1999 07 5637·3
1999 06 4141·2
1999 05 3442·7
1999 04 7640.7
1999 03 4332.0
1999 02 5333·7
1999 01 9235·9
1998 12 6237·2
1998 11 6239.9
1998 10 8840·5
1998 09 5640.3
1998 08 6136·4
1998 07 4539.4
1998 06 741·4
1998 05 2238.8
1998 04 9840·8
1998 03 4936.7
1998 02 9932·6
1998 01 939.0
1997 12 2338·0
1997 11 5434·8
1997 10 7735·8
1997 09 6035.7
1997 08 1333.8
1997 07 6832.8
1997 06 7941·6
1997 05 4532.4
1997 04 6729·1
1997 03 2325.3
1997 02 6726.7
1997 01 5838·1
1996 12 1131·1
1996 11 7435·8
1996 10 2932.9
1996 09 1830.7
1996 08 9531.0
1996 07 432.7
1996 06 7838.1
1996 05 6932·2
1996 04 9426·7
1996 03 1924.8
1996 02 5330·1
1996 01 8037.8
1995 12 1031·7
1995 11 5129.3
1995 10 1633.9
1995 09 4734·5
1995 08 6733·0
1995 07 5637.2
1995 06 5436.7
1995 05 8629·9
1995 04 1529·2
1995 03 1628.3
1995 02 8128·0
1995 01 4436.0
1994 12 3129.6
1994 11 3831.2
1994 10 3529.6
1994 09 8929·1
1994 08 1432·0
1994 07 5434·8
1994 06 7934·3
1994 05 1429.2
1994 04 9022.9
1994 03 1924.0
1994 02 022.9
1994 01 4034·3
1993 12 933·5
1993 11 1729·4
1993 10 1230·9
1993 09 1033·0
1993 08 4728.4
1993 07 5233·5
1993 06 5131.5
1993 05 9427·3
1993 04 427.0
1993 03 5823·6
1993 02 8223.2
1993 01 8528·0
1992 12 626.8
1992 11 9029.4
1992 10 9228·5
1992 09 431·4
1992 08 232.3
1992 07 3033·7
1992 06 9431.6
1992 05 9330·2
1992 04 6926.8
1992 03 8525·6
1992 02 2624.4
1992 01 2232·3
1991 12 629.7
1991 11 8733·1
1991 10 5033.1
1991 09 8533.6
1991 08 4034·7
1991 07 9233.9
1991 06 5533.9
1991 05 231.4
1991 04 1931.7
1991 03 8131.6
1991 02 5333.2
1991 01 1638.2
1990 12 2131·5
1990 11 6340.9
1990 10 8339.8
1990 09 9736·7
1990 08 4539·0
1990 07 6738·7
1990 06 741·7
1990 05 3935.0
1990 04 1636·5
1990 03 5135.1
1990 02 1334·8
1990 01 6039·4
1989 12 8541.5
1989 11 9642.7
1989 10 1540.8
1989 09 648·5
1989 08 2843.3
1989 07 942.8
1989 06 4941.4
1989 05 4540·8
1989 04 4539.2
1989 03 2234·2
1989 02 7939·3
1989 01 7139.7
1988 12 6038.1
1988 11 9145·8
1988 10 9344.3
1988 09 340.0
1988 08 2540·2
1988 07 9836·9
1988 06 340·8
1988 05 8738·2
1988 04 1534.2
1988 03 5031.1
1988 02 4830.4
1988 01 9037·9
1987 12 3138·6
1987 11 7838·7
1987 10 9042.3
1987 09 741·9
1987 08 9739.8
1987 07 3840·5
1987 06 1835·5
1987 05 5634·1
1987 04 6431·1
1987 03 1432.2
1987 02 4330·8
1987 01 8436·2
1986 12 833.3
1986 11 1037.0
1986 10 540·0
1986 09 5738·9
1986 08 2836.5
1986 07 5935.6
1986 06 6636·5
1986 05 7136.1
1986 04 5132.0
1986 03 1733·6
1986 02 1429·3
1986 01 4436.4
1985 12 2733.9
1985 11 6737.4
1985 10 6135.7
1985 09 2241.8
1985 08 3039·3
1985 07 1436.6
1985 06 4638.3
1985 05 7235·0
1985 04 6331.4
1985 03 9132.2
1985 02 3130·2
1985 01 8938.1
1984 12 4831·2
1984 11 5336·8
1984 10 540.9
1984 09 9240·0
1984 08 3938.7
1984 07 8336.8
1984 06 8036·0
1984 05 2631·3
1984 04 828.4
1984 03 8829·9
1984 02 9527.7
1984 01 5932.1
1983 12 5832.4
1983 11 9829.1
1983 10 1130.1
1983 09 8532.1
1983 08 1328·6
1983 07 7127·0
1983 06 1827·5
1983 05 2524.2
1983 04 2421·3
1983 03 8824.8
1983 02 2725·9
1983 01 2127.0
1982 12 6628·5
1982 11 5530.6
1982 10 7729·1
1982 09 4335·5
1982 08 4033·0
1982 07 636·1
1982 06 3130·5
1982 05 8532.7
1982 04 7131.8
1982 03 9533.2
1982 02 7630.3
1982 01 6738·4
1981 12 934.0
1981 11 541·0
1981 10 2640.4
1981 09 3243·9
1981 08 2939·5
1981 07 4240·9
1981 06 1840·2
1981 05 5032.9
1981 04 3330·8
1981 03 3932.1
1981 02 1530.4
1981 01 1438.0
1980 12 4634·1
1980 11 5136.0
1980 10 537·4
1980 09 4439.9
1980 08 1735·0
1980 07 6041.1
1980 06 137.9
1980 05 8540.1
1980 04 2338.9
1980 03 7439.2
1980 02 4240.0
1980 01 447·7
1979 12 6341·2
1979 11 2342·6
1979 10 8845.7
1979 09 9745·7
1979 08 6448.5
1979 07 6443·9
1979 06 3044.1
1979 05 8242·1
1979 04 7539·2
1979 03 7935·5
1979 02 7938.0
1979 01 344.6
1978 12 7142.3
1978 11 7446.3
1978 10 7450·0
1978 09 3050·6
1978 08 5446.7
1978 07 8249.1
1978 06 7742·8
1978 05 5842.2
1978 04 4933·9
1978 03 5833.8
1978 02 7632.1
1978 01 440·2
1977 12 635·5
1977 11 8542·1
1977 10 8445·6
1977 09 1344·5
1977 08 040.7
1977 07 6941.6
1977 06 3940.6
1977 05 5437·2
1977 04 3237·0
1977 03 4131.8
1977 02 430·1
1977 01 2238.3
1976 12 2730·3
1976 11 5934.4
1976 10 6733.6
1976 09 3640·2
1976 08 3635·4
1976 07 437.2
1976 06 4131.5
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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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