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 Series Title: Employment Level: Nonagriculture, Self-employed Workers, Unincorporated, 35-44 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 99737·
 2012 03 14734·
 2012 02 89722.
 2012 01 7742.
 2011 12  77778.
 2011 11  9764·
 2011 10  14756·
 2011 09  36701.
 2011 08  96691·
 2011 07  76726.
 2011 06  15699·
 2011 05  38711.
 2011 04  7658·
 2011 03  99741.
 2011 02  5735·
 2011 01  58713·
 2010 12 86773·
 2010 11 84782.
 2010 10 22826.
 2010 09 65819.
 2010 08 31714.
 2010 07 62646·
 2010 06 28773·
 2010 05 53796.
 2010 04 70791.
 2010 03 90779·
 2010 02 11780.
 2010 01 42716·
 2009 12  52776.
 2009 11  50794.
 2009 10  85789·
 2009 09  75858·
 2009 08  52880.
 2009 07  48849.
 2009 06  87836·
 2009 05  21858.
 2009 04  72835·
 2009 03  16833.
 2009 02  81786·
 2009 01  75713.
 2008 12 36753.
 2008 11 10680.
 2008 10 53733.
 2008 09 55845.
 2008 08 95877·
 2008 07 131035·
 2008 06 18974·
 2008 05 7942.
 2008 04 24897.
 2008 03 31782·
 2008 02 12847·
 2008 01 99793.
 2007 12  24798·
 2007 11  95837.
 2007 10  98849·
 2007 09  25943·
 2007 08  20917.
 2007 07  62938·
 2007 06  66999.
 2007 05  4970.
 2007 04  62962·
 2007 03  15907·
 2007 02  27870.
 2007 01  81947·
 2006 12 26921.
 2006 11 58993·
 2006 10 19967.
 2006 09 24972.
 2006 08 12973.
 2006 07 25959·
 2006 06 6935.
 2006 05 28940.
 2006 04 46926.
 2006 03 71932.
 2006 02 74958.
 2006 01 121010.
 2005 12  78968.
 2005 11  79925.
 2005 10  38922.
 2005 09  20877.
 2005 08  83918.
 2005 07  55916.
 2005 06  35953·
 2005 05  21933.
 2005 04  62951·
 2005 03  30990·
 2005 02  27962.
 2005 01  101008·
 2004 12 40952·
 2004 11 62959.
 2004 10 4947.
 2004 09 51021.
 2004 08 681045.
 2004 07 311044.
 2004 06 771003·
 2004 05 511038.
 2004 04 20994.
 2004 03 45992.
 2004 02 84981.
 2004 01 16941·
 2003 12  98919·
 2003 11  36972·
 2003 10  89953.
 2003 09  96977·
 2003 08  271006·
 2003 07  591036·
 2003 06  791088.
 2003 05  81057.
 2003 04  561069·
 2003 03  971067.
 2003 02  671052.
 2003 01  981103·
 2002 12 631053.
 2002 11 551036·
 2002 10 911014.
 2002 09 34995·
 2002 08 46978·
 2002 07 671020.
 2002 06 151004.
 2002 05 101023.
 2002 04 311052.
 2002 03 88961.
 2002 02 25919.
 2002 01 46898.
 2001 12  69964·
 2001 11  0979·
 2001 10  351056.
 2001 09  861037.
 2001 08  351045.
 2001 07  101057·
 2001 06  821096.
 2001 05  98981·
 2001 04  30990·
 2001 03  491028.
 2001 02  30985·
 2001 01  781022·
 2000 12 781074·
 2000 11 74951·
 2000 10 661015·
 2000 09 441020.
 2000 08 311086.
 2000 07 661154.
 2000 06 41186·
 2000 05 401079.
 2000 04 631077·
 2000 03 331103.
 2000 02 811035·
 2000 01 351013·
 1999 12  75960.
 1999 11  6945·
 1999 10  601030·
 1999 09  251082.
 1999 08  931069.
 1999 07  411088·
 1999 06  291120·
 1999 05  261047.
 1999 04  671072.
 1999 03  211012·
 1999 02  11024·
 1999 01  851006.
 1998 12 711028.
 1998 11 511053·
 1998 10 131052·
 1998 09 701146·
 1998 08 71096·
 1998 07 641108.
 1998 06 291108·
 1998 05 751069·
 1998 04 11128.
 1998 03 151161.
 1998 02 371104·
 1998 01 191127.
 1997 12  11040.
 1997 11  881011·
 1997 10  491032·
 1997 09  461088.
 1997 08  841040·
 1997 07  881071·
 1997 06  41187·
 1997 05  271130.
 1997 04  511162.
 1997 03  471114.
 1997 02  631085·
 1997 01  531105·
 1996 12 261077.
 1996 11 211108·
 1996 10 161094·
 1996 09 461068.
 1996 08 601064.
 1996 07 931091·
 1996 06 751129.
 1996 05 491155.
 1996 04 281166·
 1996 03 691088.
 1996 02 781048.
 1996 01 311062·
 1995 12  311067·
 1995 11  811061.
 1995 10  871042.
 1995 09  861060.
 1995 08  931069·
 1995 07  841070·
 1995 06  911042·
 1995 05  331028.
 1995 04  671002·
 1995 03  621034·
 1995 02  3995·
 1995 01  17993·
 1994 12 261015.
 1994 11 201012.
 1994 10 601081·
 1994 09 71023.
 1994 08 721058·
 1994 07 901055·
 1994 06 251034.
 1994 05 971023.
 1994 04 29984.
 1994 03 29999·
 1994 02 871033.
 1994 01 5983.
 1993 12  48949·
 1993 11  18944.
 1993 10  58920·
 1993 09  77904·
 1993 08  5961.
 1993 07  64931·
 1993 06  75951.
 1993 05  81935·
 1993 04  99905.
 1993 03  99908·
 1993 02  3912.
 1993 01  11946·
 1992 12 57967·
 1992 11 80981.
 1992 10 28911·
 1992 09 87897.
 1992 08 28923·
 1992 07 87916.
 1992 06 64906·
 1992 05 53914·
 1992 04 89923.
 1992 03 28934.
 1992 02 49931·
 1992 01 77960·
 1991 12  381008·
 1991 11  351018·
 1991 10  451012.
 1991 09  55983·
 1991 08  31047·
 1991 07  631025.
 1991 06  411025.
 1991 05  4980.
 1991 04  331000.
 1991 03  94988.
 1991 02  48920.
 1991 01  70922.
 1990 12 3969·
 1990 11 36980.
 1990 10 61034.
 1990 09 211035·
 1990 08 14991·
 1990 07 201046.
 1990 06 771030·
 1990 05 511025·
 1990 04 91965·
 1990 03 2951·
 1990 02 49853·
 1990 01 81900.
 1989 12  86894·
 1989 11  65862.
 1989 10  34916.
 1989 09  53946·
 1989 08  72989.
 1989 07  141041.
 1989 06  72957.
 1989 05  37949·
 1989 04  51987.
 1989 03  81865·
 1989 02  23912·
 1989 01  27884.
 1988 12 48902·
 1988 11 24933·
 1988 10 78891.
 1988 09 42914·
 1988 08 13909.
 1988 07 23870·
 1988 06 47871.
 1988 05 27939.
 1988 04 21884.
 1988 03 85879·
 1988 02 70845·
 1988 01 50853.
 1987 12  74872.
 1987 11  43820.
 1987 10  9862·
 1987 09  6858·
 1987 08  97900·
 1987 07  52916·
 1987 06  52886.
 1987 05  14887·
 1987 04  39840·
 1987 03  94844.
 1987 02  12814.
 1987 01  17806·
 1986 12 76817·
 1986 11 76839·
 1986 10 27855·
 1986 09 86826.
 1986 08 9784.
 1986 07 30813.
 1986 06 60771·
 1986 05 14775·
 1986 04 63743.
 1986 03 12735.
 1986 02 98737.
 1986 01 20726·
 1985 12  89809.
 1985 11  3860·
 1985 10  55857·
 1985 09  49848.
 1985 08  61793.
 1985 07  11766·
 1985 06  68768.
 1985 05  69753.
 1985 04  80754.
 1985 03  68743·
 1985 02  0667·
 1985 01  75692.
 1984 12 72681.
 1984 11 28699.
 1984 10 39716·
 1984 09 86747·
 1984 08 87730·
 1984 07 76730.
 1984 06 99750.
 1984 05 46717.
 1984 04 1726·
 1984 03 16697·
 1984 02 16694·
 1984 01 24636·
 1983 12  13634.
 1983 11  81695.
 1983 10  54679·
 1983 09  15687·
 1983 08  49667·
 1983 07  27646·
 1983 06  1657·
 1983 05  37672.
 1983 04  60645.
 1983 03  36637.
 1983 02  70608·
 1983 01  35614.
 1982 12 21626·
 1982 11 14637.
 1982 10 98670·
 1982 09 77598.
 1982 08 32626.
 1982 07 94592·
 1982 06 48585·
 1982 05 58586·
 1982 04 19635.
 1982 03 32605.
 1982 02 9599·
 1982 01 98553.
 1981 12  32564·
 1981 11  9569.
 1981 10  93579.
 1981 09  39574·
 1981 08  46534.
 1981 07  32525.
 1981 06  38565·
 1981 05  52521.
 1981 04  62520·
 1981 03  33523.
 1981 02  7577·
 1981 01  30524·
 1980 12 6549.
 1980 11 69545.
 1980 10 88560·
 1980 09 93549.
 1980 08 27575.
 1980 07 20571.
 1980 06 93542.
 1980 05 85526·
 1980 04 2504·
 1980 03 94503.
 1980 02 62480·
 1980 01 75487·
 1979 12  29489.
 1979 11  23481·
 1979 10  55476.
 1979 09  56443·
 1979 08  36499·
 1979 07  62485.
 1979 06  62480·
 1979 05  49453.
 1979 04  72394.
 1979 03  94417·
 1979 02  96428.
 1979 01  97433·
 1978 12 12439.
 1978 11 26444·
 1978 10 93392.
 1978 09 69387·
 1978 08 58424.
 1978 07 88419·
 1978 06 18410.
 1978 05 61441·
 1978 04 33400·
 1978 03 38422.
 1978 02 58398·
 1978 01 89386·
 1977 12  90402.
 1977 11  56426·
 1977 10  25417.
 1977 09  0350·
 1977 08  3370.
 1977 07  51352.
 1977 06  59375·
 1977 05  62361·
 1977 04  72340.
 1977 03  53340.
 1977 02  20341·
 1977 01  69322.
 1976 12 24340.
 1976 11 20329.
 1976 10 99318·
 1976 09 40337·
 1976 08 7342.
 1976 07 32317.
 1976 06 7303.
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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: Employment Level: Nonagriculture, Self-employed Workers, Unincorporated, 35-44 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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