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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 20-24 years: 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 1350·
 1976 07 3247.
 1976 08 8039.
 1976 09 332.
 1976 10 7224.
 1976 11 6021·
 1976 12 4219·
 1977 01  2119.
 1977 02  8419·
 1977 03  7416·
 1977 04  9222.
 1977 05  2637·
 1977 06  158·
 1977 07  5633.
 1977 08  4438.
 1977 09  6125·
 1977 10  9710·
 1977 11  1222·
 1977 12  3520.
 1978 01 9621.
 1978 02 7411·
 1978 03 7316·
 1978 04 2822.
 1978 05 2431.
 1978 06 5654.
 1978 07 9854·
 1978 08 1138.
 1978 09 6527·
 1978 10 9325·
 1978 11 6620.
 1978 12 9721.
 1979 01  6323.
 1979 02  6216.
 1979 03  8622·
 1979 04  2327.
 1979 05  8744·
 1979 06  6248.
 1979 07  8752.
 1979 08  5447.
 1979 09  3023·
 1979 10  1927·
 1979 11  2833.
 1979 12  7524.
 1980 01 1421·
 1980 02 8421·
 1980 03 9025·
 1980 04 227·
 1980 05 8031·
 1980 06 3141.
 1980 07 7939.
 1980 08 7035·
 1980 09 028·
 1980 10 6236.
 1980 11 2730.
 1980 12 4419.
 1981 01  6618·
 1981 02  126·
 1981 03  9122.
 1981 04  1130·
 1981 05  9727.
 1981 06  9937.
 1981 07  5134.
 1981 08  8438.
 1981 09  3927·
 1981 10  3132.
 1981 11  1625.
 1981 12  025.
 1982 01 6032.
 1982 02 9833.
 1982 03 1727·
 1982 04 2422.
 1982 05 5422·
 1982 06 2534.
 1982 07 945.
 1982 08 4237·
 1982 09 4146.
 1982 10 6227·
 1982 11 7620·
 1982 12 6824·
 1983 01  6422·
 1983 02  8615.
 1983 03  2328.
 1983 04  3932.
 1983 05  9334·
 1983 06  9545.
 1983 07  8251.
 1983 08  1836.
 1983 09  2128·
 1983 10  1630·
 1983 11  1020·
 1983 12  9426·
 1984 01 6923.
 1984 02 013.
 1984 03 8911·
 1984 04 7913.
 1984 05 8028·
 1984 06 2035.
 1984 07 2443.
 1984 08 1031·
 1984 09 2320.
 1984 10 7910·
 1984 11 4815.
 1984 12 5215·
 1985 01  9215.
 1985 02  120·
 1985 03  1823.
 1985 04  9222.
 1985 05  722.
 1985 06  3633·
 1985 07  1428.
 1985 08  4231.
 1985 09  1225·
 1985 10  6119.
 1985 11  4415.
 1985 12  4013.
 1986 01 758·
 1986 02 748.
 1986 03 407.
 1986 04 5115·
 1986 05 9214·
 1986 06 316.
 1986 07 5722.
 1986 08 6027·
 1986 09 8015·
 1986 10 9717.
 1986 11 7818·
 1986 12 829.
 1987 01  8513·
 1987 02  319.
 1987 03  912.
 1987 04  546·
 1987 05  7516·
 1987 06  620·
 1987 07  8115.
 1987 08  3926·
 1987 09  4510·
 1987 10  485.
 1987 11  5312.
 1987 12  246.
 1988 01 133·
 1988 02 64·
 1988 03 413.
 1988 04 2415.
 1988 05 2413.
 1988 06 5613·
 1988 07 4213.
 1988 08 7519.
 1988 09 47
 1988 10 9911.
 1988 11 997.
 1988 12 4110·
 1989 01  7610.
 1989 02  6010.
 1989 03  3016.
 1989 04  108.
 1989 05  313·
 1989 06  8919·
 1989 07  1911.
 1989 08  9319.
 1989 09  55
 1989 10  6212.
 1989 11  709·
 1989 12  3015.
 1990 01 175·
 1990 02 7911·
 1990 03 173·
 1990 04 833.
 1990 05 127.
 1990 06 657.
 1990 07 1514.
 1990 08 4115·
 1990 09 582·
 1990 10 7111·
 1990 11 467·
 1990 12 158·
 1991 01  1
 1991 02  738·
 1991 03  179.
 1991 04  445.
 1991 05  98·
 1991 06  7015·
 1991 07  6016·
 1991 08  9013.
 1991 09  7610.
 1991 10  889.
 1991 11  318.
 1991 12  423·
 1992 01 213.
 1992 02 77
 1992 03 128.
 1992 04 136.
 1992 05 897.
 1992 06 1416·
 1992 07 910.
 1992 08 4014·
 1992 09 4814.
 1992 10 9710·
 1992 11 5420·
 1992 12 862.
 1993 01  937·
 1993 02  538·
 1993 03  410.
 1993 04  407.
 1993 05  4313.
 1993 06  3313·
 1993 07  4011·
 1993 08  1318·
 1993 09  424.
 1993 10  103.
 1993 11  695.
 1993 12  452·
 1994 01 6015·
 1994 02 869.
 1994 03 233.
 1994 04 976.
 1994 05 8911.
 1994 06 879.
 1994 07 589.
 1994 08 5813·
 1994 09 508·
 1994 10 624.
 1994 11 567·
 1994 12 414.
 1995 01  876·
 1995 02  863.
 1995 03  247.
 1995 04  837·
 1995 05  698.
 1995 06  623.
 1995 07  939.
 1995 08  4811·
 1995 09  89
 1995 10  124·
 1995 11  203·
 1995 12  225·
 1996 01 688.
 1996 02 896·
 1996 03 867.
 1996 04 204.
 1996 05 482.
 1996 06 684·
 1996 07 9815.
 1996 08 79
 1996 09 011·
 1996 10 480·
 1996 11 885·
 1996 12 638·
 1997 01  186.
 1997 03  567.
 1997 04  1310.
 1997 05  57
 1997 06  193.
 1997 07  416·
 1997 08  536.
 1997 09  777·
 1997 10  5011·
 1997 11  804·
 1997 12  176·
 1998 01 593.
 1998 04 791·
 1998 05 71
 1998 06 349·
 1998 07 678·
 1998 08 996·
 1998 09 425·
 1998 10 635.
 1998 11 8816·
 1998 12 319.
 1999 01  426·
 1999 02  844.
 1999 03  36
 1999 04  18
 1999 05  463.
 1999 06  42.
 1999 07  476·
 1999 08  305·
 1999 09  566·
 1999 10  554·
 1999 11  868·
 1999 12  60
 2000 01 969·
 2000 02 9412.
 2000 03 407.
 2000 04 286.
 2000 05 176·
 2000 06 27.
 2000 07 213·
 2000 08 784·
 2000 09 945.
 2000 10 86
 2000 11 696.
 2000 12 786·
 2001 01  276.
 2001 02  776.
 2001 03  456.
 2001 04  2414·
 2001 05  4212·
 2001 06  327·
 2001 09  371.
 2001 10  342.
 2001 11  903.
 2001 12  347.
 2002 01 5912.
 2002 03 53
 2002 04 462·
 2002 05 8710.
 2002 06 484·
 2002 07 492·
 2002 08 91·
 2002 09 241.
 2002 10 68
 2003 01  17
 2003 02  74.
 2003 03  2
 2003 04  53·
 2003 05  760.
 2003 06  888.
 2003 07  36.
 2003 08  741·
 2003 09  700.
 2003 10  283.
 2003 11  323·
 2003 12  113.
 2004 02 675·
 2004 04 283·
 2004 05 226·
 2004 06 809.
 2004 07 64
 2004 08 136·
 2004 09 2910.
 2004 10 698·
 2004 11 775.
 2004 12 347·
 2005 01  350·
 2005 03  91
 2005 04  524·
 2005 05  664·
 2005 06  4710·
 2005 07  8212.
 2005 08  582.
 2005 09  94·
 2005 10  95
 2005 11  88·
 2005 12  894·
 2006 01 884·
 2006 02 3811·
 2006 03 544·
 2006 04 636.
 2006 05 553·
 2006 06 5611.
 2006 07 347.
 2006 08 264·
 2006 09 83
 2006 10 56
 2006 11 878·
 2007 02  463·
 2007 03  757·
 2007 04  696.
 2007 05  744.
 2007 06  177.
 2007 07  5510.
 2007 08  53
 2007 11  852·
 2008 04 594.
 2008 05 741.
 2008 06 8911.
 2008 07 301.
 2008 08 164.
 2008 09 64.
 2008 10 830.
 2009 01  504·
 2009 02  567.
 2009 03  5312·
 2009 04  68
 2009 05  65.
 2009 06  757.
 2009 07  409.
 2009 08  05.
 2009 09  860.
 2009 10  900.
 2009 11  17
 2009 12  603·
 2010 01 35.
 2010 02 473.
 2010 03 60
 2010 04 564·
 2010 05 966·
 2010 06 1410·
 2010 07 6811·
 2010 08 186.
 2010 09 275.
 2010 10 855.
 2010 11 689·
 2010 12 45.
 2011 01  833·
 2011 02  811.
 2011 03  91·
 2011 04  950·
 2011 05  783·
 2011 06  4412·
 2011 07  684·
 2011 08  9715.
 2011 09  5012·
 2011 10  447·
 2011 11  4412.
 2011 12  43
 2012 01 620·
 2012 02 756.
 2012 03 6312·
 2012 04 899·
 2012 05 112·
 2012 06 565.
 2012 07 7516.
 2012 08 177·
 2012 09 8012·
 2012 10 321.
 2012 11 563·
 2012 12 335.
 2013 01  3811·
 2013 02  71
 2013 03  68.
 2013 04  693.
 2013 05  370·
 2013 06  685.
 2013 07  514.
 2013 08  816.
 2013 09  655.
 2013 10  425.
 2013 11  401.
 2013 12  52
 2014 01 350.
 2014 02 362·
 2014 03 504.
 2014 04 880·
 2014 05 84
 2014 06 21
 2014 07 802·
 2014 08 204·
 2014 09 762.
 2014 10 902·
 2014 11 562·
 2014 12 53.
 2015 01  992·
 2015 02  622.
 2015 03  290·
 2015 04  250·
 2015 05  662·
 2015 06  8212.
 2015 07  749.
 2015 08  8710.
 2015 09  138·
 2015 10  184·
 2015 11  903.
 2015 12  22
 2016 01 68.
 2016 02 650·
 2016 03 5
 2016 04 861.
 2016 05 303.
 2016 06 423.
 2016 07 672.
 2016 08 620.


 2016 09 993·
 2016 10 937.
 2016 11 5310·
 2016 12 554·
 2017 01  513·
 2017 02  881.
 2017 03  621·
 2017 04  990·
 2017 05  494·
 2017 06  192.
 2017 07  216.
 2017 08  481.
 2017 09  8114·
 2017 10  714·
 2017 11  796.
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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: Agriculture and Related Industries, Unpaid Family Workers, 20-24 years: 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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