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 Series Title: Labor Force Participation Rate: 25-29 years, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 1995.3
 1976 07 6395·3
 1976 08 9395.1
 1976 09 8695·2
 1976 10 4595·0
 1976 11 7395·2
 1976 12 7694·8
 1977 01  9094.9
 1977 02  3295.1
 1977 03  7595·2
 1977 04  5494·7
 1977 05  8694·5
 1977 06  2995·8
 1977 07  5195·6
 1977 08  3995·9
 1977 09  1995.2
 1977 10  1195.5
 1977 11  795·3
 1977 12  6995.0
 1978 01 5794.8
 1978 02 8094.9
 1978 03 7694·4
 1978 04 894.6
 1978 05 9594.8
 1978 06 6195.5
 1978 07 1395.8
 1978 08 4395.9
 1978 09 5295·7
 1978 10 495.6
 1978 11 195.7
 1978 12 8795.9
 1979 01  7294.7
 1979 02  8495·4
 1979 03  4695·1
 1979 04  7895.1
 1979 05  2495.3
 1979 06  295·9
 1979 07  7995·8
 1979 08  7995·8
 1979 09  395.8
 1979 10  8395.8
 1979 11  5895·4
 1979 12  7895·2
 1980 01 2795.2
 1980 02 7895·3
 1980 03 6495.1
 1980 04 8894.9
 1980 05 4195·1
 1980 06 6195·2
 1980 07 495·5
 1980 08 4695·2
 1980 09 1495·3
 1980 10 3495.3
 1980 11 895.1
 1980 12 1594·7
 1981 01  4094·8
 1981 02  2294·6
 1981 03  3594.7
 1981 04  8494.6
 1981 05  3895·4
 1981 06  7595.7
 1981 07  6595.5
 1981 08  6595.7
 1981 09  5295·5
 1981 10  6995·4
 1981 11  595.1
 1981 12  9794·6
 1982 01 5294·6
 1982 02 495·0
 1982 03 8895.0
 1982 04 4194·7
 1982 05 3195·0
 1982 06 595·4
 1982 07 6895.5
 1982 08 8695.7
 1982 09 895·1
 1982 10 2295.0
 1982 11 2994·9
 1982 12 4595·0
 1983 01  2994.4
 1983 02  3294·7
 1983 03  7794.8
 1983 04  5694.5
 1983 05  6194.5
 1983 06  3494·9
 1983 07  4294.8
 1983 08  8194.9
 1983 09  094.7
 1983 10  5595.0
 1983 11  8394.9
 1983 12  994·7
 1984 01 6494·4
 1984 02 4394·2
 1984 03 8194.0
 1984 04 5294·2
 1984 05 9793.9
 1984 06 7595·0
 1984 07 4295.6
 1984 08 4895·5
 1984 09 6895.2
 1984 10 5195·4
 1984 11 9894.9
 1984 12 6194·7
 1985 01  7394.4
 1985 02  9794.2
 1985 03  593.8
 1985 04  7794·5
 1985 05  2994.5
 1985 06  6395.1
 1985 07  4695·3
 1985 08  1195.6
 1985 09  8195.7
 1985 10  2495·6
 1985 11  2795.1
 1985 12  9995.2
 1986 01 9895.0
 1986 02 8094.6
 1986 03 7994.8
 1986 04 594·4
 1986 05 7494·4
 1986 06 5795.3
 1986 07 5995.0
 1986 08 1795·6
 1986 09 2995·0
 1986 10 694.8
 1986 11 4995.4
 1986 12 4795·3
 1987 01  695·1
 1987 02  294·9
 1987 03  5594·5
 1987 04  3394.1
 1987 05  7595·1
 1987 06  4595.8
 1987 07  1095.3
 1987 08  3995·2
 1987 09  2995·0
 1987 10  6095·6
 1987 11  6994·8
 1987 12  5295.5
 1988 01 8994·5
 1988 02 9994.7
 1988 03 1594.4
 1988 04 8494·3
 1988 05 9794.7
 1988 06 3694.8
 1988 07 5495·3
 1988 08 7595·4
 1988 09 2495·0
 1988 10 7195.3
 1988 11 1794·9
 1988 12 8794.3
 1989 01  6394.3
 1989 02  3194·2
 1989 03  6194·3
 1989 04  794·3
 1989 05  3394·0
 1989 06  6594.9
 1989 07  6995.0
 1989 08  4995.1
 1989 09  7995·4
 1989 10  5095·1
 1989 11  4694·9
 1989 12  5194·5
 1990 01 7094.4
 1990 02 8494·8
 1990 03 2494·3
 1990 04 7594·5
 1990 05 094.8
 1990 06 9495.0
 1990 07 6095.1
 1990 08 995.4
 1990 09 8895·2
 1990 10 3195·3
 1990 11 3695·0
 1990 12 6694.4
 1991 01  7893.9
 1991 02  6994.2
 1991 03  5894.0
 1991 04  8594.6
 1991 05  3994·8
 1991 06  894·8
 1991 07  5795·0
 1991 08  2795·1
 1991 09  6695.2
 1991 10  7594·4
 1991 11  9194·0
 1991 12  8294.1
 1992 01 7794.1
 1992 02 2094·1
 1992 03 4194·0
 1992 04 6194·0
 1992 05 1794·8
 1992 06 1895.0
 1992 07 1394·8
 1992 08 294·7
 1992 09 5594·7
 1992 10 6994·2
 1992 11 4094.1
 1992 12 6993·6
 1993 01  8594.0
 1993 02  9994·1
 1993 03  7894.4
 1993 04  5094·5
 1993 05  2794·4
 1993 06  5895·0
 1993 07  995.1
 1993 08  5794·4
 1993 09  2394·3
 1993 10  2294·7
 1993 11  3893·8
 1993 12  2894·8
 1994 01 4493·3
 1994 02 9193·5
 1994 03 9993·8
 1994 04 2693.6
 1994 05 8393·1
 1994 06 9093·3
 1994 07 4793.8
 1994 08 3992.6
 1994 09 6193.2
 1994 10 7093.4
 1994 11 6593.7
 1994 12 8093.6
 1995 01  2093.7
 1995 02  793.1
 1995 03  5893·6
 1995 04  8794.1
 1995 05  3094.1
 1995 06  094·3
 1995 07  5893.9
 1995 08  2293·8
 1995 09  8593.3
 1995 10  7492·8
 1995 11  2392·9
 1995 12  7493.1
 1996 01 593·4
 1996 02 8294·5
 1996 03 3394.3
 1996 04 5594·2
 1996 05 3394.4
 1996 06 9694·4
 1996 07 9694.3
 1996 08 494·1
 1996 09 3893·8
 1996 10 2094.1
 1996 11 4394.1
 1996 12 8294.3
 1997 01  1693.9
 1997 02  7693.5
 1997 03  3194·2
 1997 04  7994.0
 1997 05  8493·7
 1997 06  1793·8
 1997 07  4094·4
 1997 08  794.5
 1997 09  8793·6
 1997 10  1693.9
 1997 11  7993·7
 1997 12  493.9
 1998 01 9494.0
 1998 02 7693·8
 1998 03 7894·5
 1998 04 3394.4
 1998 05 9994.4
 1998 06 2094·5
 1998 07 9594.7
 1998 08 8193.9
 1998 09 2293.6
 1998 10 194.0
 1998 11 1094.2
 1998 12 6294.3
 1999 01  793.8
 1999 02  9194·0
 1999 03  3193.2
 1999 04  1393·8
 1999 05  2293.5
 1999 06  9493.6
 1999 07  8995.1
 1999 08  9794·0
 1999 09  6293.6
 1999 10  3393.9
 1999 11  4194.0
 1999 12  393.2
 2000 01 4694·2
 2000 02 5894·7
 2000 03 6894·5
 2000 04 4394·4
 2000 05 1894.0
 2000 06 4794.7
 2000 07 7794.4
 2000 08 5593.8
 2000 09 4792·8
 2000 10 9893·2
 2000 11 093·3
 2000 12 294.0
 2001 01  2892.4
 2001 02  3793·9
 2001 03  9493.3
 2001 04  7193.2
 2001 05  7993.4
 2001 06  1593.3
 2001 07  3992·9
 2001 08  7692.7
 2001 09  4593.0
 2001 10  793·6
 2001 11  4392·6
 2001 12  5592.6
 2002 01 9592.9
 2002 02 1493·1
 2002 03 3793.8
 2002 04 7093.5
 2002 05 2393.0
 2002 06 6093·1
 2002 07 7893.3
 2002 08 1092·9
 2002 09 4893.1
 2002 10 9693·1
 2002 11 4892·2
 2002 12 8792.5
 2003 01  1492.1
 2003 02  9892.3
 2003 03  5391·9
 2003 04  3992.9
 2003 05  9092·3
 2003 06  6693.3
 2003 07  2493·5
 2003 08  2992.2
 2003 09  7192.0
 2003 10  2592·2
 2003 11  1992.6
 2003 12  4592·6
 2004 01 7692·4
 2004 02 2691.4
 2004 03 2091·9
 2004 04 9992·0
 2004 05 4892·8
 2004 06 4492·9
 2004 07 3293.9
 2004 08 3193·3
 2004 09 5892.7
 2004 10 7992·8
 2004 11 8792·7
 2004 12 292·2
 2005 01  9891·9
 2005 02  5791·5
 2005 03  4291·8
 2005 04  092·4
 2005 05  8992.3
 2005 06  2992·1
 2005 07  7992·3
 2005 08  3993·2
 2005 09  7492.7
 2005 10  7092·3
 2005 11  592.6
 2005 12  5692·3
 2006 01 2391.9
 2006 02 7992.1
 2006 03 5091.8
 2006 04 1491.7
 2006 05 2992·2
 2006 06 8392.0
 2006 07 7292.3
 2006 08 191.8
 2006 09 1292·1
 2006 10 3292·6
 2006 11 5292.3
 2006 12 3192·1
 2007 01  1692.6
 2007 02  192.5
 2007 03  9793·0
 2007 04  4093·0
 2007 05  1092.9
 2007 06  9093.8
 2007 07  3993·4
 2007 08  9192·8
 2007 09  8892.5
 2007 10  2692.8
 2007 11  3392·2
 2007 12  7492·4
 2008 01 7092·0
 2008 02 5891.6
 2008 03 6391.4
 2008 04 9991.2
 2008 05 9992·4
 2008 06 6291·4
 2008 07 3492·0
 2008 08 691.6
 2008 09 4591.2
 2008 10 3891.5
 2008 11 7891.6
 2008 12 5891·1
 2009 01  190·4
 2009 02  1291.2
 2009 03  5290·8
 2009 04  4190.6
 2009 05  8790·7
 2009 06  3390·7
 2009 07  3791.2
 2009 08  7090.5
 2009 09  4889·9
 2009 10  7890·5
 2009 11  4090.5
 2009 12  8289·5
 2010 01 5289.3
 2010 02 4789.9
 2010 03 9390.0
 2010 04 3990.5
 2010 05 9390·4
 2010 06 6590.2
 2010 07 5291·1
 2010 08 3090.6
 2010 09 9090·3
 2010 10 8389.2
 2010 11 9889·6
 2010 12 6888.6
 2011 01  8888.8
 2011 02  7589·2
 2011 03  4089·4
 2011 04  9088.6
 2011 05  5689·6
 2011 06  4389·5
 2011 07  889.4
 2011 08  6089·9
 2011 09  8888.9
 2011 10  1189·2
 2011 11  5889·3
 2011 12  6589·0
 2012 01 288·8


 2012 02 3188.9
 2012 03 7389·8
 2012 04 1889.9
 2012 05 4490·3
 2012 06 7790.2
 2012 07 5990.7
 2012 08 5789·8
 2012 09 8389·4
 2012 10 5091.0
 2012 11 4890·2
 2012 12 4589.7
 2013 01  1189·3
 2013 02  7589·9
 2013 03  9788·4
 2013 04  7088·7
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US Unemployment Rate: Alternative Measures of Labor Underutilization

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





 Series Title: Labor Force Participation Rate: 25-29 years, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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