Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
2012 04 4136.8
2012 03 1740.8
2012 02 7326·8
2012 01 8741.0
2011 12 5934.6
2011 11 9436.8
2011 10 9836.4
2011 09 743.6
2011 08 3848·0
2011 07 6440.3
2011 06 1838·3
2011 05 2136.3
2011 04 2737·3
2011 03 743.5
2011 02 4535.2
2011 01 7042·3
2010 12 246·3
2010 11 3043.8
2010 10 1844.8
2010 09 2648.6
2010 08 6338.1
2010 07 6637·3
2010 06 9937.6
2010 05 8141·5
2010 04 3639.8
2010 03 7034.5
2010 02 7640.3
2010 01 5537·6
2009 12 7143·1
2009 11 2542·0
2009 10 6341.4
2009 09 9231·1
2009 08 4324.3
2009 07 3733.9
2009 06 9634·1
2009 05 6235·3
2009 04 5328·2
2009 03 3826·5
2009 02 3932.7
2009 01 5828.7
2008 12 2630·0
2008 11 8422.1
2008 10 8027·1
2008 09 9926·2
2008 08 1329·8
2008 07 5727.7
2008 06 3224·7
2008 05 3124.9
2008 04 8922·8
2008 03 6426.9
2008 02 3230·5
2008 01 2127·6
2007 12 5526·9
2007 11 3624.4
2007 10 4419.2
2007 09 6424.3
2007 08 3529·7
2007 07 3023.9
2007 06 5530·0
2007 05 7924·3
2007 04 8028.9
2007 03 2725.4
2007 02 7821·6
2007 01 1023·3
2006 12 6621.9
2006 11 3522·8
2006 10 5220.3
2006 09 2726.7
2006 08 9325·1
2006 07 8429.4
2006 06 3823·8
2006 05 2319.8
2006 04 8627·0
2006 03 3235·3
2006 02 2628·7
2006 01 1830.3
2005 12 9623.2
2005 11 6032.0
2005 10 2732·1
2005 09 5632.8
2005 08 9731.2
2005 07 7427·1
2005 06 8027.2
2005 05 536.7
2005 04 9233.2
2005 03 830.0
2005 02 4728.3
2005 01 6130·3
2004 12 424.4
2004 11 1627.4
2004 10 1734.1
2004 09 4220·7
2004 08 8522·8
2004 07 8036·7
2004 06 232.5
2004 05 9233·8
2004 04 925·3
2004 03 923.4
2004 02 4122·4
2004 01 8125.4
2003 12 7828.0
2003 11 3225·6
2003 10 9633.4
2003 09 330·8
2003 08 1631.0
2003 07 632.4
2003 06 5438·8
2003 05 7631·0
2003 04 7328·3
2003 03 1426.3
2003 02 3025.2
2003 01 4527.5
2002 12 2635·5
2002 11 6231·9
2002 10 6022.4
2002 09 7921·0
2002 08 7528.2
2002 07 8129·1
2002 06 927.7
2002 05 7321·3
2002 04 4534·5
2002 03 2929·9
2002 02 6229.9
2002 01 4529·4
2001 12 8636.1
2001 11 8632·4
2001 10 3528·9
2001 09 3926.2
2001 08 7426.7
2001 07 6023·1
2001 06 6324·5
2001 05 2520·3
2001 04 928·0
2001 03 8132.0
2001 02 1128·9
2001 01 9627·7
2000 12 1621·8
2000 11 821·1
2000 10 6621.8
2000 09 7323·1
2000 08 4722·5
2000 07 2124.7
2000 06 4119·5
2000 05 9922.2
2000 04 7621·0
2000 03 2627·6
2000 02 7427.3
2000 01 4321.1
1999 12 422·0
1999 11 5726.0
1999 10 2827·6
1999 09 9933.5
1999 08 5626.1
1999 07 6922.8
1999 06 9122·2
1999 05 8724·7
1999 04 8222.7
1999 03 4325·7
1999 02 7525.5
1999 01 5023.5
1998 12 5917·4
1998 11 8822.0
1998 10 1924·2
1998 09 5826.6
1998 08 8526.5
1998 07 3326·8
1998 06 8523·8
1998 05 529·6
1998 04 8825.8
1998 03 3626.4
1998 02 6126·3
1998 01 1028·5
1997 12 1635.4
1997 11 7932·3
1997 10 6129·2
1997 09 1727·8
1997 08 4726·1
1997 07 6827·3
1997 06 2129·0
1997 05 9632.5
1997 04 7826·8
1997 03 3522.3
1997 02 628·4
1997 01 4027.7
1996 12 3831.4
1996 11 3628·9
1996 10 231.7
1996 09 6830·3
1996 08 7535.9
1996 07 5324.0
1996 06 2429·5
1996 05 2528·4
1996 04 6431.9
1996 03 9228·6
1996 02 731·3
1996 01 8130·7
1995 12 830.7
1995 11 8730·1
1995 10 1732.0
1995 09 2838·2
1995 08 3036·5
1995 07 9236.8
1995 06 3937.6
1995 05 8630·7
1995 04 8235·9
1995 03 8933.2
1995 02 8832·0
1995 01 037.1
1994 12 3835.2
1994 11 8634·6
1994 10 238.4
1994 09 3832·1
1994 08 9929.8
1994 07 1432·5
1994 06 4232.4
1994 05 9535·8
1994 04 9030.9
1994 03 2932.5
1994 02 9730·8
1994 01 8926·7
1993 12 6235.2
1993 11 1440·3
1993 10 8032.2
1993 09 6533·2
1993 08 9132.7
1993 07 7434.2
1993 06 2942.8
1993 05 9337.9
1993 04 7642.9
1993 03 4240·9
1993 02 738.4
1993 01 6539·1
1992 12 4337·1
1992 11 7438·0
1992 10 140·9
1992 09 242·0
1992 08 4233·7
1992 07 5238.5
1992 06 2434.4
1992 05 4739·6
1992 04 4934.7
1992 03 8235.9
1992 02 1536·9
1992 01 7035·7
1991 12 6536.5
1991 11 9633.3
1991 10 3641.8
1991 09 6437.0
1991 08 1342.4
1991 07 5035·9
1991 06 7531.0
1991 05 4929·3
1991 04 4635.8
1991 03 2738.8
1991 02 4534·3
1991 01 7036·7
1990 12 3835·2
1990 11 3336·0
1990 10 8430·9
1990 09 9430·3
1990 08 9032.1
1990 07 029.9
1990 06 5530·0
1990 05 1728.1
1990 04 2627.0
1990 03 8327·3
1990 02 4527·6
1990 01 5725.4
1989 12 9929.8
1989 11 6630.9
1989 10 6833.4
1989 09 5939·7
1989 08 8231·6
1989 07 5432·6
1989 06 6238·8
1989 05 9130.0
1989 04 7629·9
1989 03 7934.5
1989 02 8932·2
1989 01 4833·2
1988 12 729.3
1988 11 9828.9
1988 10 3626.4
1988 09 4932·1
1988 08 2531.0
1988 07 9231·7
1988 06 1927.6
1988 05 3936.4
1988 04 637.2
1988 03 6933.8
1988 02 7334·3
1988 01 8533.9
1987 12 4933·8
1987 11 5935.5
1987 10 6235·9
1987 09 8330·2
1987 08 8125.7
1987 07 2033·3
1987 06 7336.7
1987 05 5235.9
1987 04 5137·0
1987 03 3237.1
1987 02 2137·9
1987 01 3541.2
1986 12 3537.6
1986 11 336.7
1986 10 4234.0
1986 09 240.0
1986 08 3442.7
1986 07 6536·5
1986 06 9940·8
1986 05 4739·2
1986 04 7242.6
1986 03 7340.8
1986 02 8139.1
1986 01 8940.6
1985 12 043.1
1985 11 1037·4
1985 10 041·1
1985 09 7238·0
1985 08 9437·6
1985 07 8239.6
1985 06 9436·6
1985 05 6640·5
1985 04 5437.8
1985 03 2039·9
1985 02 2643.3
1985 01 6437·7
1984 12 639.4
1984 11 8341·9
1984 10 8438·6
1984 09 8644.7
1984 08 9943·5
1984 07 5042.4
1984 06 8137·9
1984 05 7546·6
1984 04 944·7
1984 03 2946·9
1984 02 5539·4
1984 01 248.3
1983 12 3750.3
1983 11 5250.5
1983 10 6855.1
1983 09 5949.1
1983 08 748·7
1983 07 7448.6
1983 06 950.4
1983 05 6743.4
1983 04 7148.5
1983 03 7942·5
1983 02 9045·9
1983 01 7045·6
1982 12 444.9
1982 11 7146.3
1982 10 4946.5
1982 09 3545.8
1982 08 551·6
1982 07 8449.9
1982 06 4945.2
1982 05 5950·5
1982 04 146.5
1982 03 7345.4
1982 02 7945.7
1982 01 5946.5
1981 12 4244.6
1981 11 2046·4
1981 10 5049·9
1981 09 8043.4
1981 08 446.2
1981 07 3336.0
1981 06 141.9
1981 05 9136.6
1981 04 8538.5
1981 03 4145.7
1981 02 9538.9
1981 01 8736·6
1980 12 1338.5
1980 11 339.0
1980 10 1939.1
1980 09 8640·6
1980 08 3837.2
1980 07 040.3
1980 06 8739.3
1980 05 3241.7
1980 04 3438.7
1980 03 3840·4
1980 02 3742·2
1980 01 9539.9
1979 12 237.3
1979 11 4937.2
1979 10 3041·6
1979 09 6839·2
1979 08 6842.2
1979 07 9036.1
1979 06 5639.8
1979 05 7245·3
1979 04 8243.0
1979 03 4234.8
1979 02 2738·4
1979 01 5034.3
1978 12 1938.6
1978 11 1338·2
1978 10 8138.0
1978 09 7037.3
1978 08 8039.1
1978 07 3341·7
1978 06 8042·8
1978 05 2940·6
1978 04 9041·9
1978 03 5943.8
1978 02 1343·1
1978 01 4345·0
1977 12 044.6
1977 11 7344.2
1977 10 9342·5
1977 09 5944.3
1977 08 8443·6
1977 07 8246·5
1977 06 5847.1
1977 05 4440·1
1977 04 4441.4
1977 03 1641.2
1977 02 7041.1
1977 01 9243·4
1976 12 540·7
1976 11 3442·4
1976 10 1741·0
1976 09 2440·2
1976 08 1745.5
1976 07 1641·4
1976 06 1241·7
1976 05 8440.9
1976 04 5543·6
1976 03 7041.2
1976 02 9338.9
1976 01 3940·2
1975 12 2040.4
1975 11 2639.7
1975 10 2440.3
1975 09 8543·0
1975 08 3741.0
1975 07 4137.0
1975 06 9137·4
1975 05 4040.8
1975 04 5741.3
1975 03 9843·8
1975 02 842·7
1975 01 5043.2
1974 12 5642.1
1974 11 242.7
1974 10 1240.1
1974 09 8232·3
1974 08 3231.7
1974 07 8645.5
1974 06 6733·4
1974 05 3140·6
1974 04 1334.7
1974 03 536.1
1974 02 6035·1
1974 01 1634·9
1973 12 4734·2
1973 11 4234·0
1973 10 533·4
1973 09 8241.4
1973 08 1236.4
1973 07 436·6
1973 06 3935·1
1973 05 9734·1
1973 04 637·0
1973 03 2134.8
1973 02 2538·1
1973 01 5636.4
1972 12 5640·6
1972 11 5141·1
1972 10 5140·9
1972 09 7739.2
1972 08 1140·9
1972 07 7541·8
1972 06 3043.1
1972 05 536.0
1972 04 4841·7
1972 03 040·7
1972 02 041·8
1972 01 940.2
|
|

Click on chart to change display options.
Skip to Data /
More Chart Options

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.
|
Example 1: Get Unemployment Rates for people in Computer jobs |
|
Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
|
Example 3: Get Population Level Data for Workers |
|