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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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 1976 06 36105.
 1976 07 1898·
 1976 08 999.
 1976 09 62109.
 1976 10 54106.
 1976 11 63111.
 1976 12 71123.
 1977 01  89109.
 1977 02  7114.
 1977 03  76127.
 1977 04  3118.
 1977 05  83131·
 1977 06  46135·
 1977 07  37132·
 1977 08  18138.
 1977 09  88135·
 1977 10  45132.
 1977 11  54119.
 1977 12  52144.
 1978 01 75122.
 1978 02 6115.
 1978 03 58146·
 1978 04 70139·
 1978 05 36154.
 1978 06 54135·
 1978 07 6120·
 1978 08 60118.
 1978 09 91135·
 1978 10 38122·
 1978 11 80113·
 1978 12 33111.
 1979 01  84117.
 1979 02  35114.
 1979 03  85147·
 1979 04  29133·
 1979 05  84152.
 1979 06  45143.
 1979 07  54157·
 1979 08  9114·
 1979 09  86130.
 1979 10  93119·
 1979 11  43106·
 1979 12  62105.
 1980 01 998.
 1980 02 29101·
 1980 03 35106.
 1980 04 1110.
 1980 05 96122.
 1980 06 30118·
 1980 07 35121.
 1980 08 6391·
 1980 09 17101·
 1980 10 95100.
 1980 11 7598·
 1980 12 1293.
 1981 01  6579·
 1981 02  5096·
 1981 03  12106·
 1981 04  3673.
 1981 05  6189·
 1981 06  4488·
 1981 07  28110.
 1981 08  4677·
 1981 09  4976·
 1981 10  5579·
 1981 11  2997.
 1981 12  8168.
 1982 01 9697·
 1982 02 8193·
 1982 03 47133.
 1982 04 577·
 1982 05 98100.
 1982 06 4984.
 1982 07 3890.
 1982 08 573.
 1982 09 74103.
 1982 10 8105.
 1982 11 84106.
 1982 12 93106·
 1983 01  6787.
 1983 02  3581.
 1983 03  9277.
 1983 04  889·
 1983 05  4870.
 1983 06  2986.
 1983 07  9484·
 1983 08  12105.
 1983 09  10103·
 1983 10  16133·
 1983 11  45132.
 1983 12  94119·
 1984 01 7195.
 1984 02 4689.
 1984 03 2888·
 1984 04 6791·
 1984 05 7883.
 1984 06 9587·
 1984 07 5072·
 1984 08 6777.
 1984 09 9776·
 1984 10 6394·
 1984 11 41102·
 1984 12 59104.
 1985 01  2578.
 1985 02  7680·
 1985 03  59102·
 1985 04  3082.
 1985 05  7986·
 1985 06  8374.
 1985 07  8668.
 1985 08  9369.
 1985 09  481.
 1985 10  6178.
 1985 11  2757·
 1985 12  8574.
 1986 01 6975·
 1986 02 973·
 1986 03 1477.
 1986 04 7171·
 1986 05 6872·
 1986 06 5362·
 1986 07 556.
 1986 08 3675.
 1986 09 2165.
 1986 10 4459.
 1986 11 8168·
 1986 12 9671·
 1987 01  7176.
 1987 02  5773.
 1987 03  4878·
 1987 04  8770.
 1987 05  8868.
 1987 06  9169.
 1987 07  3841·
 1987 08  7249.
 1987 09  6563·
 1987 10  7460·
 1987 11  867·
 1987 12  3985·
 1988 01 2350·
 1988 02 5453·
 1988 03 3966.
 1988 04 158.
 1988 05 477·
 1988 06 758·
 1988 07 3867.
 1988 08 9665·
 1988 09 7979.
 1988 10 3568.
 1988 11 3778.
 1988 12 8762·
 1989 01  4178.
 1989 02  6165·
 1989 03  9297·
 1989 04  6286.
 1989 05  10102·
 1989 06  3768.
 1989 07  8574·
 1989 08  3386·
 1989 09  2985.
 1989 10  3887.
 1989 11  2363.
 1989 12  3953·
 1990 01 6856.
 1990 02 6570.
 1990 03 3668·
 1990 04 4260.
 1990 05 2149·
 1990 06 4253.
 1990 07 8356.
 1990 08 3155·
 1990 09 759·
 1990 10 2064·
 1990 11 4452.
 1990 12 1753·
 1991 01  7055.
 1991 02  7554.
 1991 03  2662·
 1991 04  4058.
 1991 05  7966·
 1991 06  659·
 1991 07  6161.
 1991 08  6241.
 1991 09  2944·
 1991 10  4043·
 1991 11  644·
 1991 12  7055·
 1992 01 3844.
 1992 02 2758.
 1992 03 4159·
 1992 04 7965·
 1992 05 5163·
 1992 06 4161·
 1992 07 7489.
 1992 08 2457.
 1992 09 3768·
 1992 10 8457·
 1992 11 3750·
 1992 12 7149.
 1993 01  9069·
 1993 02  8142.
 1993 03  8546.
 1993 04  651·
 1993 05  3047·
 1993 06  8234·
 1993 07  162·
 1993 08  4257.
 1993 09  9943·
 1993 10  6344·
 1993 11  9257.
 1993 12  1757.
 1994 01 6826.
 1994 02 2331·
 1994 03 8830·
 1994 04 9525.
 1994 05 3117·
 1994 06 8928·
 1994 07 4716.
 1994 08 6222.
 1994 09 628·
 1994 10 1139.
 1994 11 4929·
 1994 12 3232.
 1995 01  3820.
 1995 02  6421.
 1995 03  325·
 1995 04  4322·
 1995 05  9638·
 1995 06  4922·
 1995 07  3930.
 1995 08  5830·
 1995 09  7537.
 1995 10  9130.
 1995 11  1524.
 1995 12  6426.
 1996 01 9216.
 1996 02 4014·
 1996 03 1125.
 1996 04 7512·
 1996 05 93
 1996 06 715.
 1996 07 3423·
 1996 08 2818.
 1996 09 4726·
 1996 10 8628·
 1996 11 1633.
 1996 12 8627.
 1997 01  4731.
 1997 02  1032.
 1997 03  1420.
 1997 04  3722·
 1997 05  1323·
 1997 06  9226.
 1997 07  1029.
 1997 08  9424.
 1997 09  8916.
 1997 10  820.
 1997 11  928·
 1997 12  9519·
 1998 01 4527.
 1998 02 6027.
 1998 03 4419·
 1998 04 323·
 1998 05 7324·
 1998 06 7126·
 1998 07 7118.
 1998 08 516·
 1998 09 9415·
 1998 10 938·
 1998 11 7217.
 1998 12 1624.
 1999 01  5230.
 1999 02  117.
 1999 03  5323.
 1999 04  7118·
 1999 05  1516·
 1999 06  9522·
 1999 07  4718·
 1999 08  3521.
 1999 09  7828·
 1999 10  027·
 1999 11  923·
 1999 12  9529·
 2000 01 6023·
 2000 02 6822.
 2000 03 2227·
 2000 04 6423·
 2000 05 525.
 2000 06 7321·
 2000 07 9225·
 2000 08 8019.
 2000 09 8327·
 2000 10 1639.
 2000 11 5027·
 2000 12 637·
 2001 01  8625·
 2001 02  2232·
 2001 03  5418·
 2001 04  3018·
 2001 05  3610.
 2001 06  4225·
 2001 07  8521.
 2001 08  6528·
 2001 09  7525.
 2001 10  5117·
 2001 11  4910·
 2001 12  4813.
 2002 01 7226.
 2002 02 4932.
 2002 03 7923.
 2002 04 4226·
 2002 05 2316·
 2002 06 6218.
 2002 07 3124·
 2002 08 3612.
 2002 09 4614·
 2002 10 4010.
 2002 11 8618·
 2002 12 4214·
 2003 01  859.
 2003 02  5923·
 2003 03  5115.
 2003 04  9926·
 2003 05  1030.
 2003 06  1825.
 2003 07  5832.
 2003 08  6826·
 2003 09  1417.
 2003 10  4418.
 2003 11  648·
 2003 12  3815·
 2004 01 1715·
 2004 02 8711.
 2004 03 5022.
 2004 04 2210.
 2004 05 6213.
 2004 06 2216.
 2004 07 227.
 2004 08 5816.
 2004 09 2018·
 2004 10 4921.
 2004 11 1313·
 2004 12 813.
 2005 01  8314·
 2005 02  9419·
 2005 03  7926·
 2005 04  6122·
 2005 05  7218·
 2005 06  815.
 2005 07  214·
 2005 08  2913.
 2005 09  3013·
 2005 10  6517·
 2005 11  8821.
 2005 12  5012.
 2006 01 279·
 2006 02 669·
 2006 03 699·
 2006 04 8823·
 2006 05 5626·
 2006 06 3719·
 2006 07 119.
 2006 08 2911.
 2006 09 3712.
 2006 10 2721·
 2006 11 6722.
 2006 12 889·
 2007 01  1418·
 2007 02  1328·
 2007 03  7229.
 2007 04  132.
 2007 05  5624·
 2007 06  9436.
 2007 07  4914.
 2007 08  3214·
 2007 09  5729.
 2007 10  9722·
 2007 11  5517.
 2007 12  6815·
 2008 01 3717·
 2008 02 7120.
 2008 03 7024·
 2008 04 2428·
 2008 05 3932·
 2008 06 9230·
 2008 07 123·
 2008 08 3517.
 2008 09 3322.
 2008 10 5911.
 2008 11 8114.
 2008 12 6620·
 2009 01  126·
 2009 02  016.
 2009 03  658·
 2009 04  412.
 2009 05  97
 2009 06  6316.
 2009 07  3612·
 2009 08  6118.
 2009 09  3016·
 2009 10  259.
 2009 11  998.
 2009 12  7718.
 2010 01 8212.
 2010 02 8615·
 2010 03 88
 2010 04 1414.
 2010 05 469.
 2010 06 7116.
 2010 07 579.
 2010 08 595·
 2010 09 4110·
 2010 10 308.
 2010 11 905·
 2010 12 262·
 2011 01  133.
 2011 02  396·
 2011 03  9218·
 2011 04  5313.
 2011 05  287·
 2011 06  992·
 2011 07  951·
 2011 08  21·
 2011 09  835·
 2011 10  34
 2011 11  5610.
 2011 12  6117.
 2012 01 9616·


 2012 02 9516·
 2012 03 579.
 2012 04 43
 2012 05 1111.
 2012 06 5820.
 2012 07 38.
 2012 08 8712·
 2012 09 9712.
 2012 10 239·
 2012 11 2810.
 2012 12 5411.
 2013 01  4914.
 2013 02  1524.
 2013 03  8723·
 2013 04  3317.
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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

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