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 Series Title: Employment Level: Nonagriculture, Self-employed Workers, Unincorporated, 25-34 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 80365.
 1976 07 78340.
 1976 08 21354.
 1976 09 68367.
 1976 10 3362.
 1976 11 11384.
 1976 12 79403.
 1977 01  23374.
 1977 02  43386·
 1977 03  92406.
 1977 04  87437·
 1977 05  27461.
 1977 06  49436.
 1977 07  4427.
 1977 08  59372·
 1977 09  23423.
 1977 10  97435.
 1977 11  52426·
 1977 12  33440·
 1978 01 81413.
 1978 02 87402.
 1978 03 69465.
 1978 04 72445.
 1978 05 95476·
 1978 06 46414.
 1978 07 11433·
 1978 08 63412.
 1978 09 85420·
 1978 10 22478·
 1978 11 59462.
 1978 12 19467·
 1979 01  94478.
 1979 02  93495.
 1979 03  21467·
 1979 04  79463.
 1979 05  91510·
 1979 06  57479.
 1979 07  27469·
 1979 08  5492·
 1979 09  71515.
 1979 10  41512.
 1979 11  36579·
 1979 12  84526·
 1980 01 53492.
 1980 02 95515.
 1980 03 27504·
 1980 04 31490.
 1980 05 81491·
 1980 06 94434·
 1980 07 9464·
 1980 08 83475.
 1980 09 24493.
 1980 10 39541.
 1980 11 11533.
 1980 12 2535·
 1981 01  76513.
 1981 02  55563.
 1981 03  92541·
 1981 04  77559·
 1981 05  56571·
 1981 06  92545·
 1981 07  33517·
 1981 08  20516·
 1981 09  9519·
 1981 10  26540·
 1981 11  41582.
 1981 12  70597.
 1982 01 4542·
 1982 02 57594.
 1982 03 46573·
 1982 04 89583·
 1982 05 34607.
 1982 06 11560.
 1982 07 6581·
 1982 08 65586.
 1982 09 19593·
 1982 10 38593·
 1982 11 2613·
 1982 12 11574.
 1983 01  4584.
 1983 02  13606.
 1983 03  42632·
 1983 04  65661·
 1983 05  56670·
 1983 06  37618·
 1983 07  56592.
 1983 08  90631·
 1983 09  71573.
 1983 10  35651·
 1983 11  1677·
 1983 12  74670·
 1984 01 67639·
 1984 02 57638.
 1984 03 59644.
 1984 04 29635·
 1984 05 89687.
 1984 06 80635.
 1984 07 37608.
 1984 08 94684·
 1984 09 6660·
 1984 10 3698·
 1984 11 66783·
 1984 12 31747.
 1985 01  11713·
 1985 02  51677.
 1985 03  3674·
 1985 04  29669.
 1985 05  25690.
 1985 06  76671·
 1985 07  29673.
 1985 08  99667·
 1985 09  91643.
 1985 10  52721·
 1985 11  52703·
 1985 12  81677·
 1986 01 78644·
 1986 02 80634.
 1986 03 2667.
 1986 04 37657.
 1986 05 80661·
 1986 06 85678·
 1986 07 37649·
 1986 08 54675·
 1986 09 17708.
 1986 10 18738·
 1986 11 38738.
 1986 12 47685·
 1987 01  33702.
 1987 02  54717·
 1987 03  11676·
 1987 04  51675.
 1987 05  97667.
 1987 06  94728.
 1987 07  89671.
 1987 08  32732.
 1987 09  3704.
 1987 10  62758.
 1987 11  27760.
 1987 12  76747.
 1988 01 70686·
 1988 02 10684·
 1988 03 9689.
 1988 04 96776.
 1988 05 42771.
 1988 06 12757.
 1988 07 39742.
 1988 08 30750·
 1988 09 89725·
 1988 10 69716.
 1988 11 50718·
 1988 12 41710.
 1989 01  4684.
 1989 02  6675.
 1989 03  99717·
 1989 04  18743.
 1989 05  7742·
 1989 06  75678·
 1989 07  68662·
 1989 08  72685·
 1989 09  42702.
 1989 10  49741.
 1989 11  62737·
 1989 12  42726.
 1990 01 78742.
 1990 02 31725·
 1990 03 13782·
 1990 04 91797·
 1990 05 9842.
 1990 06 44737.
 1990 07 78756·
 1990 08 6708.
 1990 09 54692.
 1990 10 39704.
 1990 11 40671·
 1990 12 0725.
 1991 01  58730·
 1991 02  92732·
 1991 03  3712.
 1991 04  12777·
 1991 05  89703.
 1991 06  4688.
 1991 07  1743.
 1991 08  4714·
 1991 09  42687.
 1991 10  98738·
 1991 11  89752·
 1991 12  65683·
 1992 01 36622.
 1992 02 27643.
 1992 03 50706·
 1992 04 6661.
 1992 05 15628.
 1992 06 65622.
 1992 07 89597.
 1992 08 66591.
 1992 09 48572.
 1992 10 13649.
 1992 11 39639.
 1992 12 8593·
 1993 01  29607·
 1993 02  96656·
 1993 03  56629·
 1993 04  19662·
 1993 05  78711·
 1993 06  64678.
 1993 07  23745·
 1993 08  13690·
 1993 09  38658.
 1993 10  93720·
 1993 11  44665.
 1993 12  28679.
 1994 01 79656.
 1994 02 84698.
 1994 03 53740·
 1994 04 26656·
 1994 05 95767.
 1994 06 61709.
 1994 07 6705.
 1994 08 95741·
 1994 09 5722·
 1994 10 75724·
 1994 11 84755.
 1994 12 48736.
 1995 01  53701·
 1995 02  2735·
 1995 03  94715.
 1995 04  23722·
 1995 05  8744.
 1995 06  41701.
 1995 07  67732·
 1995 08  83718.
 1995 09  64728.
 1995 10  19728·
 1995 11  61706·
 1995 12  16666·
 1996 01 41673.
 1996 02 85673.
 1996 03 58705.
 1996 04 34696.
 1996 05 83723.
 1996 06 15693·
 1996 07 62751.
 1996 08 76733·
 1996 09 59679·
 1996 10 10701.
 1996 11 7690·
 1996 12 5668.
 1997 01  62692·
 1997 02  94682·
 1997 03  49675·
 1997 04  8690.
 1997 05  13711·
 1997 06  19677.
 1997 07  69656.
 1997 08  98605.
 1997 09  55680.
 1997 10  59644.
 1997 11  75650.
 1997 12  13608.
 1998 01 57572.
 1998 02 15612.
 1998 03 98629.
 1998 04 16617.
 1998 05 14656.
 1998 06 13739.
 1998 07 93714.
 1998 08 96695·
 1998 09 44662.
 1998 10 2630·
 1998 11 44603.
 1998 12 64560·
 1999 01  92610.
 1999 02  58633·
 1999 03  57648.
 1999 04  58641·
 1999 05  28732·
 1999 06  82660·
 1999 07  63700·
 1999 08  42666·
 1999 09  44607·
 1999 10  99618·
 1999 11  19560.
 1999 12  4527·
 2000 01 60598·
 2000 02 59661·
 2000 03 7670·
 2000 04 56709·
 2000 05 21707.
 2000 06 37709·
 2000 07 34699·
 2000 08 37666·
 2000 09 96709.
 2000 10 35618.
 2000 11 30541·
 2000 12 8539.
 2001 01  78561.
 2001 02  77596·
 2001 03  52660·
 2001 04  59642.
 2001 05  86644.
 2001 06  14640·
 2001 07  83584·
 2001 08  1567.
 2001 09  66588.
 2001 10  21578·
 2001 11  29607·
 2001 12  73562·
 2002 01 86570.
 2002 02 99593.
 2002 03 21646.
 2002 04 38634.
 2002 05 40661·
 2002 06 73664.
 2002 07 17626·
 2002 08 84606.
 2002 09 47624·
 2002 10 94634.
 2002 11 97627·
 2002 12 23637·
 2003 01  52609.
 2003 02  36568.
 2003 03  69515·
 2003 04  93572·
 2003 05  24571·
 2003 06  0639·
 2003 07  64641.
 2003 08  58653.
 2003 09  56630·
 2003 10  12644.
 2003 11  38648·
 2003 12  5567·
 2004 01 68600.
 2004 02 22575·
 2004 03 74553·
 2004 04 47526·
 2004 05 4560·
 2004 06 5555.
 2004 07 78576·
 2004 08 21642.
 2004 09 34684·
 2004 10 63641·
 2004 11 81628.
 2004 12 92570.
 2005 01  51584.
 2005 02  19599.
 2005 03  41631.
 2005 04  47638.
 2005 05  74601.
 2005 06  25623.
 2005 07  39625.
 2005 08  98602.
 2005 09  48602·
 2005 10  55534.
 2005 11  81593.
 2005 12  83554.
 2006 01 41574·
 2006 02 11573.
 2006 03 0586·
 2006 04 66603·
 2006 05 49611·
 2006 06 18636.
 2006 07 51584·
 2006 08 34579·
 2006 09 89590·
 2006 10 26584.
 2006 11 17537.
 2006 12 0529.
 2007 01  7524.
 2007 02  10530.
 2007 03  4529.
 2007 04  3552·
 2007 05  71553.
 2007 06  71560.
 2007 07  43521·
 2007 08  4516.
 2007 09  76476·
 2007 10  35513.
 2007 11  93509·
 2007 12  92510·
 2008 01 40538.
 2008 02 51481·
 2008 03 33462.
 2008 04 80472.
 2008 05 8541.
 2008 06 95568.
 2008 07 71549.
 2008 08 6524.
 2008 09 48501·
 2008 10 68506·
 2008 11 38488.
 2008 12 32468.
 2009 01  56529·
 2009 02  95525·
 2009 03  91485·
 2009 04  47485·
 2009 05  50470·
 2009 06  25467.
 2009 07  12493.
 2009 08  63519·
 2009 09  74513.
 2009 10  36457·
 2009 11  7451·
 2009 12  18475·
 2010 01 98440.
 2010 02 26451.
 2010 03 7438.
 2010 04 75482.
 2010 05 15563·
 2010 06 22556.
 2010 07 71511·
 2010 08 22497.
 2010 09 45422·
 2010 10 73408·
 2010 11 78491.
 2010 12 72523·
 2011 01  32497·
 2011 02  56459.
 2011 03  37459.
 2011 04  62440.
 2011 05  45503.
 2011 06  71544.
 2011 07  78530·
 2011 08  57512·
 2011 09  78439·
 2011 10  42442·
 2011 11  58465·
 2011 12  42431.
 2012 01 50478.
 2012 02 20443·
 2012 03 58555·
 2012 04 33549.
 2012 05 6523.
 2012 06 82544.
 2012 07 86453.
 2012 08 65483·
 2012 09 14568·
 2012 10 26543·
 2012 11 73551.
 2012 12 3525.
 2013 01  69514·
 2013 02  79500·
 2013 03  76473·
 2013 04  34466.
 2013 05  90501·


 2013 06  91505·
 2013 07  76556·
 2013 08  71507.
 2013 09  21636·
 2013 10  38588.
 2013 11  80540·
 2013 12  52533·
 2014 01 31497.
 2014 02 19505.
 2014 03 19498.
 2014 04 39529.
 2014 05 14466.
 2014 06 60486·
 2014 07 51490.
 2014 08 21454.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Employment Level: Nonagriculture, Self-employed Workers, Unincorporated, 25-34 years, Women: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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