Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
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2012 04 4817·4
2012 03 8922·8
2012 02 4828.8
2012 01 9725.7
2011 12 3121·2
2011 11 4720.7
2011 10 4719·6
2011 09 5816·5
2011 08 9219.9
2011 07 1719.6
2011 06 5816.0
2011 05 3115·4
2011 04 8317.3
2011 03 7821·6
2011 02 9727·6
2011 01 5823·3
2010 12 7821.5
2010 11 3920·0
2010 10 9919·0
2010 09 1018.5
2010 08 7820·7
2010 07 3117.1
2010 06 2815·6
2010 05 8115.8
2010 04 815.2
2010 03 1123.5
2010 02 7326.5
2010 01 9024.9
2009 12 2021·2
2009 11 5920·0
2009 10 4519·8
2009 09 8022·0
2009 08 8724.7
2009 07 8423·5
2009 06 8323.9
2009 05 2127.4
2009 04 1126.8
2009 03 1535·1
2009 02 4937.5
2009 01 833·9
2008 12 1731·5
2008 11 1130.2
2008 10 3224.8
2008 09 5928.4
2008 08 5627.2
2008 07 5331.0
2008 06 4531·1
2008 05 1824·5
2008 04 228·6
2008 03 4734·1
2008 02 2538.9
2008 01 5532·4
2007 12 5629·6
2007 11 2534.8
2007 10 3530.3
2007 09 6330.3
2007 08 4430.8
2007 07 4429.3
2007 06 6330·4
2007 05 6330·9
2007 04 1627.8
2007 03 8537.2
2007 02 2241·3
2007 01 9739·4
2006 12 4728.5
2006 11 5531.2
2006 10 5026·5
2006 09 3526·1
2006 08 3829·3
2006 07 8528·9
2006 06 1023.7
2006 05 7226.4
2006 04 1426.3
2006 03 3331·4
2006 02 9037.2
2006 01 2634.3
2005 12 2528.8
2005 11 8028·9
2005 10 226.3
2005 09 4226.8
2005 08 4723.9
2005 07 3228.5
2005 06 8429·9
2005 05 8926.0
2005 04 8025.4
2005 03 2135·2
2005 02 036.3
2005 01 6032.6
2004 12 5127·8
2004 11 427.9
2004 10 3725.6
2004 09 7526.6
2004 08 827.4
2004 07 6325.3
2004 06 822·3
2004 05 7824·0
2004 04 2727.0
2004 03 329.5
2004 02 5137.2
2004 01 3931·6
2003 12 1028.4
2003 11 5728·1
2003 10 2925.1
2003 09 5129.1
2003 08 8027·3
2003 07 8227.4
2003 06 3027.9
2003 05 3326·6
2003 04 9028·2
2003 03 5933.1
2003 02 6636.8
2003 01 3133·0
2002 12 1330·4
2002 11 9427.9
2002 10 7626.0
2002 09 1227·3
2002 08 5030.1
2002 07 1926.6
2002 06 2328·2
2002 05 7125.1
2002 04 2831·4
2002 03 9135.1
2002 02 9438.9
2002 01 2733.7
2001 12 9536.9
2001 11 9233·4
2001 10 229.6
2001 09 2429.8
2001 08 2829·5
2001 07 2833·3
2001 06 8531·7
2001 05 3226.9
2001 04 2727.7
2001 03 3137·3
2001 02 638.3
2001 01 4434.9
2000 12 1834.3
2000 11 5829.0
2000 10 5328.6
2000 09 8025·1
2000 08 5029.9
2000 07 8930.2
2000 06 3930·6
2000 05 8429.1
2000 04 9931.9
2000 03 3235.9
2000 02 243·8
2000 01 2431.9
1999 12 6628·2
1999 11 1929.0
1999 10 430·0
1999 09 9627.3
1999 08 7629·5
1999 07 627·1
1999 06 3428·8
1999 05 1826.4
1999 04 7830.4
1999 03 7440·0
1999 02 440·7
1999 01 3437·7
1998 12 5032·6
1998 11 3132.9
1998 10 5230·2
1998 09 1426.9
1998 08 9132.9
1998 07 727·6
1998 06 4227·6
1998 05 5229.7
1998 04 2630·6
1998 03 6035.1
1998 02 6039.3
1998 01 6634.1
1997 12 633.4
1997 11 7229.6
1997 10 2127·8
1997 09 127·7
1997 08 630.0
1997 07 4827.5
1997 06 6125·2
1997 05 2624·1
1997 04 2729·7
1997 03 2136·2
1997 02 4442.2
1997 01 3632.3
1996 12 9434·2
1996 11 4728.5
1996 10 5729.1
1996 09 4928.2
1996 08 5728.9
1996 07 828.0
1996 06 1428·2
1996 05 930·3
1996 04 9327.8
1996 03 1035·1
1996 02 5337·4
1996 01 8634·9
1995 12 036.0
1995 11 8529·0
1995 10 3531·4
1995 09 7427.9
1995 08 533·4
1995 07 9028·2
1995 06 5026·7
1995 05 9124.4
1995 04 5828·5
1995 03 636.8
1995 02 1042.0
1995 01 8330·5
1994 12 3429.9
1994 11 4126.9
1994 10 5331.3
1994 09 1828.9
1994 08 3430.1
1994 07 2524.2
1994 06 4124.2
1994 05 9029·3
1994 04 8326·4
1994 03 1534·6
1994 02 6440.6
1994 01 1929·3
1993 12 3226.5
1993 11 9328.0
1993 10 3329·1
1993 09 4826·6
1993 08 5627.8
1993 07 6625.1
1993 06 8626.3
1993 05 4724·8
1993 04 5523·4
1993 03 6532.2
1993 02 8733.6
1993 01 1030·8
1992 12 5429·9
1992 11 4728.4
1992 10 2326.4
1992 09 5626·3
1992 08 526.5
1992 07 9324·1
1992 06 823·4
1992 05 3024.9
1992 04 8326.2
1992 03 1030·7
1992 02 7837.5
1992 01 9932·5
1991 12 8732·1
1991 11 3029·0
1991 10 9729·3
1991 09 5929·9
1991 08 4331·7
1991 07 1030.8
1991 06 5328.8
1991 05 2930·0
1991 04 232.0
1991 03 3138·2
1991 02 5941·5
1991 01 5236.6
1990 12 4036.8
1990 11 9929.3
1990 10 5330·7
1990 09 9831.9
1990 08 5532.2
1990 07 4630.7
1990 06 9729.8
1990 05 6134.2
1990 04 7532·8
1990 03 3037.1
1990 02 8041.7
1990 01 6135.3
1989 12 4831·0
1989 11 3131.2
1989 10 1329·2
1989 09 4029·1
1989 08 5231.7
1989 07 5730·5
1989 06 3629.2
1989 05 7030.4
1989 04 8529·3
1989 03 3836·5
1989 02 1137·1
1989 01 4233·6
1988 12 7434.8
1988 11 3229·6
1988 10 2625·8
1988 09 7826·1
1988 08 6831.1
1988 07 2031·0
1988 06 9426·2
1988 05 2024·4
1988 04 4428·9
1988 03 933·8
1988 02 5340·4
1988 01 3837·0
1987 12 130·3
1987 11 3028·3
1987 10 6527·5
1987 09 2725·0
1987 08 6628·8
1987 07 4127.2
1987 06 1924·3
1987 05 424·6
1987 04 8725·6
1987 03 2234·1
1987 02 2736.5
1987 01 1635·7
1986 12 4231·2
1986 11 8031.7
1986 10 2826.6
1986 09 2928.2
1986 08 2930·5
1986 07 4830·1
1986 06 8429.5
1986 05 4027.2
1986 04 7528·8
1986 03 8133.7
1986 02 8337.9
1986 01 6634·6
1985 12 3034.0
1985 11 6127.6
1985 10 3727·2
1985 09 5229·6
1985 08 6930·0
1985 07 9627.7
1985 06 8625·7
1985 05 6825.8
1985 04 9324.5
1985 03 1634.0
1985 02 9235.6
1985 01 732.4
1984 12 2730·3
1984 11 7828.3
1984 10 4225.6
1984 09 8826.5
1984 08 2224·4
1984 07 6424·7
1984 06 5023·9
1984 05 5523·0
1984 04 5224·8
1984 03 8127·6
1984 02 5332·0
1984 01 7929·7
1983 12 1929·3
1983 11 5926·2
1983 10 1423.2
1983 09 5223·0
1983 08 4724.2
1983 07 5721.3
1983 06 2220.0
1983 05 9422·1
1983 04 8824.4
1983 03 5529.2
1983 02 8932.4
1983 01 4929.9
1982 12 1530.8
1982 11 6029·3
1982 10 5328.6
1982 09 8728·1
1982 08 3128.4
1982 07 328.7
1982 06 7625·9
1982 05 126.1
1982 04 6028.7
1982 03 4232.9
1982 02 4841.2
1982 01 1038·1
1981 12 5235·9
1981 11 5834·0
1981 10 8027.5
1981 09 6028.6
1981 08 8429.2
1981 07 5829.4
1981 06 1125.8
1981 05 1825·3
1981 04 5426·6
1981 03 7332.2
1981 02 337·2
1981 01 7931·1
1980 12 9030·1
1980 11 6030.3
1980 10 4429·6
1980 09 6231·5
1980 08 4135.0
1980 07 034·8
1980 06 4834.1
1980 05 1129·0
1980 04 8229.3
1980 03 139.1
1980 02 5245·1
1980 01 9634.1
1979 12 1434.2
1979 11 9329·8
1979 10 1933·3
1979 09 1035·3
1979 08 6328·4
1979 07 3429.7
1979 06 3725.3
1979 05 7327.0
1979 04 7827.8
1979 03 536·6
1979 02 1945·2
1979 01 2837·2
1978 12 3634.0
1978 11 1230·1
1978 10 225.9
1978 09 4633.3
1978 08 3632.1
1978 07 8828·1
1978 06 5028.9
1978 05 2023·9
1978 04 326.0
1978 03 9034.9
1978 02 5043.5
1978 01 6936·9
1977 12 9030·7
1977 11 9730·6
1977 10 1630·1
1977 09 3728.4
1977 08 6929.3
1977 07 1824.5
1977 06 8522.6
1977 05 9426·3
1977 04 4325.0
1977 03 8432·5
1977 02 2037.3
1977 01 3335.0
1976 12 3730.0
1976 11 5227·9
1976 10 924·7
1976 09 7428.5
1976 08 027.7
1976 07 324.4
1976 06 6525.2
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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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