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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 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 04 498.
 2012 03 609.
 2012 02 1316.
 2012 01 2216.
 2011 12  2617.
 2011 11  6810.
 2011 10  909.
 2011 09  665.
 2011 08  511·
 2011 07  551.
 2011 06  492.
 2011 05  917.
 2011 04  7313·
 2011 03  318.
 2011 02  46.
 2011 01  403.
 2010 12 692·
 2010 11 205·
 2010 10 918·
 2010 09 8210·
 2010 08 395·
 2010 07 369·
 2010 06 7416.
 2010 05 119·
 2010 04 714·
 2010 03 87.
 2010 02 4115.
 2010 01 4712·
 2009 12  2618·
 2009 11  188.
 2009 10  59.
 2009 09  3316·
 2009 08  6918.
 2009 07  7312·
 2009 06  316.
 2009 05  399.
 2009 04  3712.
 2009 03  4
 2009 02  9816.
 2009 01  59
 2008 12 5720.
 2008 11 6814.
 2008 10 7911.
 2008 09 1222·
 2008 08 7717.
 2008 07 4623.
 2008 06 5830·
 2008 05 4232·
 2008 04 7428·
 2008 03 4524.
 2008 02 7320·
 2008 01 1917.
 2007 12  4715.
 2007 11  9817.
 2007 10  8622·
 2007 09  3629.
 2007 08  2314.
 2007 07  5914·
 2007 06  8736·
 2007 05  1324·
 2007 04  5232.
 2007 03  1229.
 2007 02  8828·
 2007 01  9318.
 2006 12 9
 2006 11 6222.
 2006 10 2621·
 2006 09 4612·
 2006 08 9411.
 2006 07 4219.
 2006 06 6419.
 2006 05 6626·
 2006 04 3323.
 2006 03 79.
 2006 02 919.
 2006 01 739·
 2005 12  7612.
 2005 11  4121·
 2005 10  2017·
 2005 09  913·
 2005 08  9913.
 2005 07  4814·
 2005 06  8715.
 2005 05  4618·
 2005 04  222.
 2005 03  6126·
 2005 02  5719.
 2005 01  7514.
 2004 12 1013.
 2004 11 3713·
 2004 10 1621.
 2004 09 1818.
 2004 08 7416.
 2004 07 577.
 2004 06 7916.
 2004 05 1713·
 2004 04 7010.
 2004 03 2822·
 2004 02 8211.
 2004 01 4315·
 2003 12  9615·
 2003 11  828·
 2003 10  8918·
 2003 09  8817.
 2003 08  8026.
 2003 07  7432.
 2003 06  8725·
 2003 05  7330.
 2003 04  7126.
 2003 03  8715.
 2003 02  9023.
 2003 01  419·
 2002 12 4514·
 2002 11 2818·
 2002 10 3510.
 2002 09 6214.
 2002 08 212.
 2002 07 2724·
 2002 06 8518·
 2002 05 2916·
 2002 04 6826.
 2002 03 4323·
 2002 02 2932.
 2002 01 6326.
 2001 12  9213.
 2001 11  5510.
 2001 10  7817.
 2001 09  625·
 2001 08  5128·
 2001 07  7221.
 2001 06  7125.
 2001 05  2810·
 2001 04  4518·
 2001 03  2418.
 2001 02  7232.
 2001 01  2425·
 2000 12 9837.
 2000 11 6827.
 2000 10 6639·
 2000 09 1227.
 2000 08 6219.
 2000 07 8625·
 2000 06 6821·
 2000 05 3725.
 2000 04 1223.
 2000 03 8527·
 2000 02 1622·
 2000 01 6723·
 1999 12  4829·
 1999 11  9523·
 1999 10  7227.
 1999 09  9828.
 1999 08  9621·
 1999 07  7518·
 1999 06  2422.
 1999 05  4716·
 1999 04  618·
 1999 03  523·
 1999 02  8617·
 1999 01  5930·
 1998 12 5324.
 1998 11 9217.
 1998 10 948.
 1998 09 415.
 1998 08 3916·
 1998 07 6718·
 1998 06 1226.
 1998 05 7524·
 1998 04 8723.
 1998 03 8819·
 1998 02 2827·
 1998 01 9127·
 1997 12  4919·
 1997 11  3628.
 1997 10  5520.
 1997 09  9716·
 1997 08  024·
 1997 07  1829·
 1997 06  3026·
 1997 05  6323.
 1997 04  4022.
 1997 03  6520.
 1997 02  1732·
 1997 01  8031·
 1996 12 9527.
 1996 11 3433·
 1996 10 328·
 1996 09 7126·
 1996 08 1518·
 1996 07 623·
 1996 06 25.
 1996 05 779.
 1996 04 7612.
 1996 03 8925·
 1996 02 5014·
 1996 01 6916·
 1995 12  7826.
 1995 11  1324.
 1995 10  1130.
 1995 09  4037·
 1995 08  4630.
 1995 07  3630.
 1995 06  7422.
 1995 05  1038.
 1995 04  3122.
 1995 03  3925.
 1995 02  5021.
 1995 01  2220.
 1994 12 832·
 1994 11 2929.
 1994 10 7839·
 1994 09 4728·
 1994 08 7822·
 1994 07 3716.
 1994 06 2028.
 1994 05 7817·
 1994 04 6525·
 1994 03 2030·
 1994 02 6531·
 1994 01 3426·
 1993 12  2157·
 1993 11  6057.
 1993 10  2644·
 1993 09  5943·
 1993 08  2057·
 1993 07  6362·
 1993 06  3934.
 1993 05  2347·
 1993 04  6351.
 1993 03  6146.
 1993 02  6942.
 1993 01  1969.
 1992 12 7649·
 1992 11 1150·
 1992 10 257·
 1992 09 6868·
 1992 08 957·
 1992 07 9389·
 1992 06 5361·
 1992 05 1263.
 1992 04 3765·
 1992 03 1659·
 1992 02 5958·
 1992 01 2144.
 1991 12  6155.
 1991 11  1144·
 1991 10  8243.
 1991 09  8944.
 1991 08  541.
 1991 07  3361.
 1991 06  1059·
 1991 05  3666·
 1991 04  2158.
 1991 03  6562.
 1991 02  5854.
 1991 01  655·
 1990 12 8453.
 1990 11 1452·
 1990 10 6164·
 1990 09 6759.
 1990 08 9455·
 1990 07 1156.
 1990 06 8453·
 1990 05 1349·
 1990 04 7760.
 1990 03 1268.
 1990 02 1470·
 1990 01 6556.
 1989 12  8353·
 1989 11  063·
 1989 10  6487.
 1989 09  6685.
 1989 08  8786·
 1989 07  8174.
 1989 06  7268·
 1989 05  84102.
 1989 04  8986.
 1989 03  8697.
 1989 02  165·
 1989 01  1678·
 1988 12 1662·
 1988 11 7378.
 1988 10 3968·
 1988 09 7879·
 1988 08 1865.
 1988 07 2367.
 1988 06 9858·
 1988 05 1777·
 1988 04 6958·
 1988 03 4266·
 1988 02 1753·
 1988 01 050·
 1987 12  7185·
 1987 11  6267·
 1987 10  5860·
 1987 09  2263·
 1987 08  4849·
 1987 07  4141·
 1987 06  969·
 1987 05  268·
 1987 04  5270.
 1987 03  5878.
 1987 02  8473.
 1987 01  8476·
 1986 12 5771·
 1986 11 2268·
 1986 10 1959·
 1986 09 3765·
 1986 08 6475.
 1986 07 6456.
 1986 06 7962·
 1986 05 5672·
 1986 04 9871·
 1986 03 4077·
 1986 02 5073.
 1986 01 6075·
 1985 12  1074·
 1985 11  3257·
 1985 10  4778.
 1985 09  9281·
 1985 08  7569.
 1985 07  4768·
 1985 06  574.
 1985 05  2286.
 1985 04  9382.
 1985 03  16102·
 1985 02  9080.
 1985 01  4578.
 1984 12 91104.
 1984 11 96102.
 1984 10 8794.
 1984 09 7876.
 1984 08 1777·
 1984 07 6972·
 1984 06 1187·
 1984 05 6783.
 1984 04 4891.
 1984 03 4188·
 1984 02 089·
 1984 01 8095.
 1983 12  84119.
 1983 11  43132·
 1983 10  15133·
 1983 09  11103·
 1983 08  51105·
 1983 07  3484.
 1983 06  4586.
 1983 05  8170·
 1983 04  9889.
 1983 03  9377.
 1983 02  381·
 1983 01  3287.
 1982 12 1106.
 1982 11 29106.
 1982 10 27105.
 1982 09 34103·
 1982 08 6173.
 1982 07 7190·
 1982 06 8084.
 1982 05 82100·
 1982 04 377·
 1982 03 78133.
 1982 02 4993·
 1982 01 9497·
 1981 12  7868·
 1981 11  3197·
 1981 10  4779·
 1981 09  1476.
 1981 08  6077.
 1981 07  36110.
 1981 06  1388.
 1981 05  1189.
 1981 04  5073·
 1981 03  25106.
 1981 02  996·
 1981 01  8179.
 1980 12 7493·
 1980 11 5598.
 1980 10 23100.
 1980 09 41101·
 1980 08 8291.
 1980 07 7121·
 1980 06 68118.
 1980 05 37122·
 1980 04 49110·
 1980 03 87106.
 1980 02 82101.
 1980 01 3698.
 1979 12  75105·
 1979 11  29106·
 1979 10  28119·
 1979 09  34130·
 1979 08  87114·
 1979 07  88157.
 1979 06  94143·
 1979 05  49152.
 1979 04  34133.
 1979 03  45147.
 1979 02  91114·
 1979 01  25117.
 1978 12 92111·
 1978 11 8113.
 1978 10 60122.
 1978 09 33135.
 1978 08 62118.
 1978 07 8120.
 1978 06 62135.
 1978 05 65154.
 1978 04 68139·
 1978 03 2146·
 1978 02 85115·
 1978 01 41122·
 1977 12  61144·
 1977 11  72119.
 1977 10  42132·
 1977 09  5135·
 1977 08  16138.
 1977 07  23132.
 1977 06  71135.
 1977 05  27131·
 1977 04  35118·
 1977 03  88127.
 1977 02  35114·
 1977 01  0109·
 1976 12 41123·
 1976 11 24111.
 1976 10 21106.
 1976 09 43109.
 1976 08 8699.
 1976 07 1198·
 1976 06 44105.
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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, Unpaid Family Workers, 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

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

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