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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 20-24 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 4821·
 1976 07 3416.
 1976 08 5916.
 1976 09 8316·
 1976 10 8816.
 1976 11 5913·
 1976 12 8412·
 1977 01  807·
 1977 02  4412.
 1977 03  3324·
 1977 04  6020.
 1977 05  2615·
 1977 06  6719·
 1977 07  3712.
 1977 08  9913.
 1977 09  6415·
 1977 10  3315·
 1977 11  7719.
 1977 12  4012.
 1978 01 649·
 1978 02 4010.
 1978 03 8620·
 1978 04 4620·
 1978 05 2124·
 1978 06 1622·
 1978 07 2022·
 1978 08 417·
 1978 09 5320·
 1978 10 1017·
 1978 11 6019.
 1978 12 2817·
 1979 01  417·
 1979 02  9821·
 1979 03  1423.
 1979 04  5520.
 1979 05  4315·
 1979 06  7926.
 1979 07  1320·
 1979 08  4819·
 1979 09  6612·
 1979 10  8114.
 1979 11  1412·
 1979 12  9513·
 1980 01 9010·
 1980 02 5211·
 1980 03 9725·
 1980 04 918·
 1980 05 6011.
 1980 06 6821·
 1980 07 7114.
 1980 08 2721·
 1980 09 4515·
 1980 10 309·
 1980 11 668·
 1980 12 1413.
 1981 01  399.
 1981 02  6311·
 1981 03  3914·
 1981 04  569.
 1981 05  6212.
 1981 06  1713·
 1981 07  7222.
 1981 08  6614.
 1981 09  5712·
 1981 10  6824.
 1981 11  7223.
 1981 12  8326.
 1982 01 9328.
 1982 02 1716.
 1982 03 6922.
 1982 04 6911·
 1982 05 6620·
 1982 06 8827·
 1982 07 2129.
 1982 08 1318.
 1982 09 938.
 1982 10 3213.
 1982 11 1014.
 1982 12 2612.
 1983 01  2012.
 1983 02  2413.
 1983 03  4211·
 1983 04  4720.
 1983 05  1411·
 1983 06  6524.
 1983 07  4820·
 1983 08  4014.
 1983 09  719.
 1983 10  8019·
 1983 11  8516·
 1983 12  909.
 1984 01 109.
 1984 02 205·
 1984 03 3614·
 1984 04 1320.
 1984 05 7414·
 1984 06 6012.
 1984 07 69.
 1984 08 4516.
 1984 09 3310.
 1984 10 07·
 1984 11 2722·
 1984 12 497.
 1985 01  8115.
 1985 02  6516·
 1985 03  5616.
 1985 04  1415.
 1985 05  3620.
 1985 06  718·
 1985 07  757.
 1985 08  5212·
 1985 09  446.
 1985 10  010.
 1985 11  8916·
 1985 12  117·
 1986 01 7419·
 1986 02 468.
 1986 03 32
 1986 04 249·
 1986 05 1811.
 1986 06 6812·
 1986 07 5810·
 1986 08 811.
 1986 09 985.
 1986 10 1812.
 1986 11 5115.
 1986 12 6817.
 1987 01  5611·
 1987 02  7212.
 1987 03  174·
 1987 04  408.
 1987 05  628·
 1987 06  2816.
 1987 07  8711.
 1987 08  876.
 1987 09  1013·
 1987 10  14
 1987 11  1815·
 1987 12  9812.
 1988 01 197·
 1988 02 786·
 1988 03 913.
 1988 04 8612.
 1988 05 336.
 1988 06 9815.
 1988 07 149.
 1988 08 873·
 1988 11 224·
 1988 12 722·
 1989 01  17
 1989 02  6611.
 1989 03  8016·
 1989 04  276.
 1989 05  594.
 1989 06  9
 1989 07  252.
 1989 08  135.
 1989 09  193·
 1989 10  31
 1989 11  28·
 1989 12  48.
 1990 01 511.
 1990 02 6813·
 1990 03 809·
 1990 04 316·
 1990 05 4918.
 1990 06 847·
 1990 07 53
 1990 08 336·
 1990 09 610.
 1990 10 668·
 1990 11 417.
 1990 12 456.
 1991 01  604.
 1991 02  284·
 1991 03  8712·
 1991 04  168.
 1991 05  158.
 1991 06  77·
 1991 07  6014·
 1991 08  44
 1991 09  55·
 1991 10  6614·
 1991 11  5517·
 1991 12  5611.
 1992 01 8611.
 1992 02 945·
 1992 03 915·
 1992 04 220·
 1992 05 3815·
 1992 06 214·
 1992 07 1321.
 1992 08 587.
 1992 09 706·
 1992 10 295·
 1992 11 887.
 1992 12 233·
 1993 01  129.
 1993 02  381.
 1993 03  1112·
 1993 04  23
 1993 05  225·
 1993 06  176.
 1993 07  23·
 1993 08  88·
 1993 09  805.
 1993 10  784.
 1993 11  58·
 1993 12  553.
 1994 01 942.
 1994 03 608.
 1994 04 883·
 1994 05 624.
 1994 06 958·
 1994 07 257·
 1994 08 465·
 1994 09 574·
 1994 10 401·
 1994 11 612·
 1994 12 981.
 1995 01  883.
 1995 02  105·
 1995 03  817.
 1995 04  886·
 1995 05  325·
 1995 06  127.
 1995 07  249·
 1995 08  857.
 1995 09  882·
 1995 10  781.
 1995 11  510·
 1995 12  843.
 1996 02 832·
 1996 03 642·
 1996 04 516.
 1996 05 311·
 1996 08 6719·
 1996 09 5310·
 1996 10 374·
 1996 11 872·
 1996 12 141·
 1997 01  493·
 1997 02  463·
 1997 03  53.
 1997 04  263.
 1997 05  873·
 1997 06  425·
 1997 07  502.
 1997 08  2712.
 1997 09  218.
 1997 10  127.
 1997 11  433·
 1997 12  690.
 1998 01 336.
 1998 02 692.
 1998 03 273.
 1998 04 273·
 1998 05 316.
 1998 06 523.
 1998 07 725.
 1998 08 06·
 1998 09 463·
 1998 10 224.
 1998 11 714·
 1998 12 142.
 1999 01  343.
 1999 02  689.
 1999 03  43
 1999 06  217.
 1999 07  772.
 1999 08  42.
 1999 09  341·
 1999 10  945·
 1999 11  822·
 2000 03 653.
 2000 05 112.
 2000 06 352·
 2000 07 80
 2000 08 17
 2000 10 69
 2000 11 694·
 2000 12 293·
 2001 03  465·
 2001 06  28
 2001 07  462.
 2001 08  91.
 2001 09  651·
 2001 10  316.
 2001 12  422·
 2002 01 272·
 2002 02 12
 2002 03 481.
 2002 04 571.
 2002 08 155.
 2002 09 513·
 2002 10 72
 2002 11 166·
 2002 12 301.
 2003 01  69
 2003 03  23
 2003 05  712.
 2003 06  535·
 2003 07  785·
 2003 08  450.
 2003 09  95
 2003 10  910.
 2003 12  181.
 2004 01 73.
 2004 02 9016.
 2004 03 76
 2004 04 506·
 2004 06 32·
 2004 07 812·
 2004 08 643·
 2004 10 631·
 2004 11 53
 2004 12 193.
 2005 01  363.
 2005 02  696.
 2005 03  03·
 2005 05  783·
 2005 07  03·
 2005 08  7
 2005 09  130.
 2005 10  600·
 2005 11  875·
 2005 12  393.
 2006 01 885.
 2006 02 898.
 2006 03 543.
 2006 05 53
 2006 06 425·
 2006 07 163.
 2006 08 821·
 2006 09 621.
 2006 10 21
 2006 11 176.
 2006 12 784.
 2007 01  40.
 2007 02  92
 2007 03  913.
 2007 05  734·
 2007 06  426.
 2007 07  51
 2007 08  641.
 2007 12  253.
 2008 01 635·
 2008 02 174.
 2008 03 874.
 2008 04 154·
 2008 05 819.
 2008 06 33
 2008 07 358·
 2008 08 504·
 2009 01  34
 2009 02  680.
 2009 06  80.
 2009 07  600·
 2009 08  840.
 2009 09  184·
 2009 10  325·
 2009 11  413.
 2009 12  194·
 2010 01 11.
 2010 02 570·
 2010 03 620·
 2010 04 530.
 2010 05 614.
 2010 06 590.
 2010 07 410.
 2010 08 230·
 2010 09 670·
 2010 10 374.
 2010 11 735.
 2010 12 919·
 2011 01  149.
 2011 02  1815.
 2011 03  149.
 2011 04  478.
 2011 05  205·
 2011 06  511·
 2011 07  473·
 2011 08  20·
 2011 09  300·
 2011 10  137.
 2011 11  774·
 2011 12  956.
 2012 01 135.
 2012 02 33·
 2012 03 360.
 2012 04 881.
 2012 05 636·
 2012 06 460.
 2012 07 813.
 2012 08 700.
 2012 09 990·
 2012 10 940.
 2012 11 940.
 2012 12 532·
 2013 01  654.
 2013 02  220·
 2013 03  8110·
 2013 04  754·
 2013 05  310.
 2013 06  293.
 2013 07  743·
 2013 08  996.
 2013 09  910.
 2013 10  424.
 2013 11  300.
 2013 12  130.
 2014 01 630.
 2014 02 110.
 2014 03 300·
 2014 04 300.
 2014 05 924.
 2014 06 114.
 2014 07 80
 2014 08 880·
 2014 09 470.
 2014 10 43
 2014 11 13
 2014 12 500.
 2015 01  220·
 2015 02  310.
 2015 03  850·
 2015 04  32·
 2015 05  360.
 2015 06  270.
 2015 07  780.
 2015 08  600.
 2015 09  340·
 2015 10  58·
 2015 11  999.
 2015 12  605.
 2016 01 853·
 2016 02 673.
 2016 03 781·
 2016 04 653.
 2016 05 826.
 2016 06 372.


 2016 07 733.
 2016 08 632.
 2016 09 452.
 2016 10 670.
 2016 11 650·
 2016 12 670·
 2017 01  180.
 2017 02  300·
 2017 03  610.
 2017 04  150.
 2017 05  702.
 2017 06  285·
 2017 07  935·
 2017 08  701·
 2017 09  961.
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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, Unpaid Family Workers, 20-24 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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