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 Series Title: Employment Level: Nonagriculture, Self-employed Workers, Unincorporated, 45-54 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 27948.
 2012 03 43925.
 2012 02 1951·
 2012 01 47979·
 2011 12  51937·
 2011 11  87973·
 2011 10  29975·
 2011 09  81900.
 2011 08  29906·
 2011 07  17852.
 2011 06  45827.
 2011 05  2898.
 2011 04  12921.
 2011 03  14977·
 2011 02  621013·
 2011 01  521038.
 2010 12 74969·
 2010 11 86941.
 2010 10 19928·
 2010 09 3968·
 2010 08 16915·
 2010 07 63925·
 2010 06 77979·
 2010 05 46939·
 2010 04 631014·
 2010 03 3978.
 2010 02 26984.
 2010 01 3939.
 2009 12  66922·
 2009 11  87902.
 2009 10  78965.
 2009 09  16959·
 2009 08  01003.
 2009 07  22946.
 2009 06  701013·
 2009 05  561019·
 2009 04  661039·
 2009 03  391015·
 2009 02  66935·
 2009 01  15877.
 2008 12 89902.
 2008 11 96976·
 2008 10 531014.
 2008 09 141032.
 2008 08 191078·
 2008 07 73993·
 2008 06 45978·
 2008 05 961012·
 2008 04 321006.
 2008 03 781041.
 2008 02 791009·
 2008 01 31979·
 2007 12  28984.
 2007 11  411033·
 2007 10  191100·
 2007 09  131148.
 2007 08  331167·
 2007 07  211170.
 2007 06  511071·
 2007 05  601039.
 2007 04  971030·
 2007 03  971022.
 2007 02  891053.
 2007 01  181042·
 2006 12 941050·
 2006 11 781059.
 2006 10 721047.
 2006 09 541006·
 2006 08 271063·
 2006 07 941053·
 2006 06 611056.
 2006 05 641028.
 2006 04 201010.
 2006 03 21003.
 2006 02 451065.
 2006 01 661047·
 2005 12  23967.
 2005 11  84941.
 2005 10  36937·
 2005 09  5865·
 2005 08  12950·
 2005 07  47988.
 2005 06  73903.
 2005 05  49959.
 2005 04  87938.
 2005 03  22929·
 2005 02  18982·
 2005 01  94993.
 2004 12 74973.
 2004 11 651001·
 2004 10 591018.
 2004 09 57982.
 2004 08 231016·
 2004 07 59981.
 2004 06 10980·
 2004 05 83945.
 2004 04 9973·
 2004 03 10956·
 2004 02 7966.
 2004 01 421051·
 2003 12  33979.
 2003 11  50998·
 2003 10  141026·
 2003 09  271012·
 2003 08  211060·
 2003 07  35949.
 2003 06  19942·
 2003 05  58950.
 2003 04  22926·
 2003 03  47980·
 2003 02  35957·
 2003 01  78995.
 2002 12 12976·
 2002 11 93982.
 2002 10 99983.
 2002 09 57971.
 2002 08 91968·
 2002 07 4936·
 2002 06 75901·
 2002 05 89922·
 2002 04 85933·
 2002 03 37921.
 2002 02 50877·
 2002 01 93927·
 2001 12  45889.
 2001 11  73898.
 2001 10  38964·
 2001 09  14971.
 2001 08  45950.
 2001 07  201025.
 2001 06  75941·
 2001 05  19937.
 2001 04  85988.
 2001 03  81001.
 2001 02  261057.
 2001 01  51113·
 2000 12 931010·
 2000 11 95997·
 2000 10 771012.
 2000 09 891043·
 2000 08 17994·
 2000 07 62960.
 2000 06 43899·
 2000 05 15930·
 2000 04 33986·
 2000 03 16963.
 2000 02 591013·
 2000 01 541007.
 1999 12  41922·
 1999 11  88937·
 1999 10  91951.
 1999 09  99940.
 1999 08  68957·
 1999 07  35923·
 1999 06  25940·
 1999 05  69947.
 1999 04  62942.
 1999 03  39855·
 1999 02  74832.
 1999 01  8880.
 1998 12 1965.
 1998 11 7982·
 1998 10 77975.
 1998 09 86921.
 1998 08 83841·
 1998 07 69837·
 1998 06 96843·
 1998 05 97894·
 1998 04 35923·
 1998 03 82853·
 1998 02 18838.
 1998 01 59922.
 1997 12  7954.
 1997 11  29960·
 1997 10  58948·
 1997 09  17882·
 1997 08  74930·
 1997 07  16872·
 1997 06  53851.
 1997 05  40889·
 1997 04  37902·
 1997 03  75918·
 1997 02  65921·
 1997 01  23983.
 1996 12 20909·
 1996 11 61889.
 1996 10 83915.
 1996 09 84863.
 1996 08 76871.
 1996 07 57886.
 1996 06 19893.
 1996 05 67868.
 1996 04 78881.
 1996 03 70897.
 1996 02 12873.
 1996 01 42860.
 1995 12  27836·
 1995 11  31803.
 1995 10  24792.
 1995 09  3797.
 1995 08  48809·
 1995 07  96896·
 1995 06  43838·
 1995 05  69861.
 1995 04  93843·
 1995 03  48893·
 1995 02  82880·
 1995 01  83900.
 1994 12 36871·
 1994 11 93849.
 1994 10 79820.
 1994 09 16819.
 1994 08 78790.
 1994 07 63821·
 1994 06 97797.
 1994 05 62833·
 1994 04 44848.
 1994 03 13817.
 1994 02 24782·
 1994 01 38750.
 1993 12  85767·
 1993 11  27780.
 1993 10  72726.
 1993 09  91689·
 1993 08  75709·
 1993 07  11734·
 1993 06  80750.
 1993 05  88727·
 1993 04  16736·
 1993 03  95738.
 1993 02  10711·
 1993 01  24686·
 1992 12 32748·
 1992 11 37712·
 1992 10 50678.
 1992 09 18700.
 1992 08 75715·
 1992 07 19718·
 1992 06 14680·
 1992 05 14636.
 1992 04 19654.
 1992 03 47617·
 1992 02 39636·
 1992 01 82668.
 1991 12  65700.
 1991 11  53730·
 1991 10  87727·
 1991 09  15679.
 1991 08  38728·
 1991 07  93726·
 1991 06  48753·
 1991 05  32708.
 1991 04  89717·
 1991 03  49672·
 1991 02  33668·
 1991 01  79723.
 1990 12 93673·
 1990 11 28685·
 1990 10 81674·
 1990 09 23680·
 1990 08 51634·
 1990 07 61627.
 1990 06 54677·
 1990 05 59683·
 1990 04 87694.
 1990 03 5679·
 1990 02 41660·
 1990 01 7646.
 1989 12  53699·
 1989 11  42665·
 1989 10  54687·
 1989 09  9683.
 1989 08  23617.
 1989 07  78617.
 1989 06  31635.
 1989 05  37678·
 1989 04  98676·
 1989 03  45675·
 1989 02  36633·
 1989 01  82669.
 1988 12 3666.
 1988 11 99643·
 1988 10 55628.
 1988 09 66582·
 1988 08 90642.
 1988 07 23610.
 1988 06 2641·
 1988 05 31642.
 1988 04 32562.
 1988 03 22578·
 1988 02 15578·
 1988 01 48546·
 1987 12  31576.
 1987 11  29568.
 1987 10  57568·
 1987 09  9579·
 1987 08  12529.
 1987 07  0516·
 1987 06  15478.
 1987 05  35496·
 1987 04  26502·
 1987 03  17494.
 1987 02  2502.
 1987 01  69509.
 1986 12 47471·
 1986 11 86560.
 1986 10 57501·
 1986 09 81483.
 1986 08 76499·
 1986 07 39515·
 1986 06 42484·
 1986 05 64490.
 1986 04 39479·
 1986 03 33494·
 1986 02 45503·
 1986 01 39519·
 1985 12  86536·
 1985 11  49568.
 1985 10  80555·
 1985 09  48538.
 1985 08  92536·
 1985 07  94492.
 1985 06  83509.
 1985 05  62514·
 1985 04  58506·
 1985 03  99518.
 1985 02  17530·
 1985 01  73520.
 1984 12 8513·
 1984 11 22525.
 1984 10 72533.
 1984 09 3535·
 1984 08 95529·
 1984 07 44541·
 1984 06 59509.
 1984 05 93503·
 1984 04 92491.
 1984 03 71477·
 1984 02 16491.
 1984 01 15518.
 1983 12  0536.
 1983 11  35536·
 1983 10  7532·
 1983 09  61488.
 1983 08  46508·
 1983 07  93484·
 1983 06  19468.
 1983 05  51438.
 1983 04  78457·
 1983 03  26456·
 1983 02  65438·
 1983 01  30441.
 1982 12 72423.
 1982 11 42446.
 1982 10 83476·
 1982 09 65475.
 1982 08 30459.
 1982 07 71487.
 1982 06 36476.
 1982 05 52462.
 1982 04 75443.
 1982 03 71453·
 1982 02 12442.
 1982 01 10418.
 1981 12  59420·
 1981 11  22431·
 1981 10  24422·
 1981 09  82426.
 1981 08  58432.
 1981 07  32429·
 1981 06  9455.
 1981 05  38453·
 1981 04  70479.
 1981 03  33465·
 1981 02  30465.
 1981 01  72445.
 1980 12 23432.
 1980 11 80430.
 1980 10 76438.
 1980 09 3409.
 1980 08 65413·
 1980 07 56438.
 1980 06 59433·
 1980 05 75427·
 1980 04 73413·
 1980 03 67431·
 1980 02 17429.
 1980 01 58427.
 1979 12  47444.
 1979 11  45436·
 1979 10  14433.
 1979 09  45407.
 1979 08  13411·
 1979 07  46451.
 1979 06  36412·
 1979 05  56418.
 1979 04  20398·
 1979 03  53420.
 1979 02  97409·
 1979 01  35394·
 1978 12 44388·
 1978 11 71360.
 1978 10 34376.
 1978 09 51358.
 1978 08 86353·
 1978 07 33380·
 1978 06 12396.
 1978 05 97375.
 1978 04 70373.
 1978 03 94354.
 1978 02 16349·
 1978 01 94342·
 1977 12  48359·
 1977 11  38330·
 1977 10  61364·
 1977 09  86362.
 1977 08  95377·
 1977 07  69360.
 1977 06  85372.
 1977 05  40380·
 1977 04  11379.
 1977 03  21336·
 1977 02  49324·
 1977 01  53320.
 1976 12 21335·
 1976 11 49362·
 1976 10 43345.
 1976 09 42358·
 1976 08 76336·
 1976 07 35377.
 1976 06 78365.
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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

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      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, 45-54 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

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