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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 3250·
 1976 07 4147.
 1976 08 339·
 1976 09 3532.
 1976 10 7424.
 1976 11 6421·
 1976 12 4619·
 1977 01  9519·
 1977 02  6419.
 1977 03  6616.
 1977 04  7122·
 1977 05  3537·
 1977 06  5258.
 1977 07  3033.
 1977 08  9138.
 1977 09  025.
 1977 10  1410·
 1977 11  6222.
 1977 12  4420·
 1978 01 5721.
 1978 02 4911.
 1978 03 9416.
 1978 04 9322.
 1978 05 231.
 1978 06 8354·
 1978 07 8254.
 1978 08 2538·
 1978 09 5327·
 1978 10 6725.
 1978 11 820.
 1978 12 5421.
 1979 01  5523.
 1979 02  7616·
 1979 03  7822.
 1979 04  1827.
 1979 05  7744·
 1979 06  1048.
 1979 07  2552.
 1979 08  7947.
 1979 09  1323·
 1979 10  9527.
 1979 11  433.
 1979 12  2524·
 1980 01 8121·
 1980 02 8121.
 1980 03 9825·
 1980 04 7027·
 1980 05 2731·
 1980 06 4441.
 1980 07 1339·
 1980 08 5035·
 1980 09 1928·
 1980 10 8336.
 1980 11 8130.
 1980 12 3019·
 1981 01  5218.
 1981 02  2526.
 1981 03  5822·
 1981 04  9630·
 1981 05  4427·
 1981 06  1937.
 1981 07  2634·
 1981 08  6238.
 1981 09  4027·
 1981 10  4132·
 1981 11  9225.
 1981 12  6625.
 1982 01 932.
 1982 02 9233·
 1982 03 8827.
 1982 04 7022.
 1982 05 4522·
 1982 06 9734.
 1982 07 6945·
 1982 08 6337·
 1982 09 6746·
 1982 10 627.
 1982 11 1820.
 1982 12 5724·
 1983 01  1922.
 1983 02  9415.
 1983 03  4128·
 1983 04  9032·
 1983 05  7134.
 1983 06  6345·
 1983 07  7051·
 1983 08  2536·
 1983 09  1628.
 1983 10  3730·
 1983 11  6120.
 1983 12  5026.
 1984 01 7523·
 1984 02 6613.
 1984 03 9711·
 1984 04 7913.
 1984 05 9028.
 1984 06 2735.
 1984 07 8343·
 1984 08 4731·
 1984 09 3020·
 1984 10 2010.
 1984 11 5215.
 1984 12 2015·
 1985 01  9215.
 1985 02  6920·
 1985 03  6123·
 1985 04  8422·
 1985 05  9222·
 1985 06  2633·
 1985 07  8928·
 1985 08  5231.
 1985 09  7625.
 1985 10  6519·
 1985 11  4515.
 1985 12  6313.
 1986 01 128.
 1986 02 88
 1986 03 617.
 1986 04 7915.
 1986 05 9514·
 1986 06 1916.
 1986 07 9122·
 1986 08 8827·
 1986 09 4415·
 1986 10 917·
 1986 11 2018.
 1986 12 39.
 1987 01  313·
 1987 02  349.
 1987 03  5212.
 1987 04  626.
 1987 05  4116.
 1987 06  9320·
 1987 07  1915·
 1987 08  2726·
 1987 09  5310.
 1987 10  125·
 1987 11  7912·
 1987 12  886.
 1988 01 573.
 1988 02 424·
 1988 03 1313·
 1988 04 5615·
 1988 05 9713.
 1988 06 5713·
 1988 07 2713·
 1988 08 6919.
 1988 09 439·
 1988 10 5911·
 1988 11 537.
 1988 12 9110.
 1989 01  8910·
 1989 02  7210·
 1989 03  4916·
 1989 04  88·
 1989 05  543·
 1989 06  4819·
 1989 07  9411.
 1989 08  3519.
 1989 09  828·
 1989 10  6112·
 1989 11  979·
 1989 12  915.
 1990 01 425·
 1990 02 1211·
 1990 03 88
 1990 04 933.
 1990 05 287.
 1990 06 267.
 1990 07 2514·
 1990 08 7515.
 1990 09 602·
 1990 10 5311·
 1990 11 887·
 1990 12 678·
 1991 01  828.
 1991 02  708·
 1991 03  869.
 1991 04  85.
 1991 05  63
 1991 06  7615·
 1991 07  4816·
 1991 08  6113·
 1991 09  9710·
 1991 10  969.
 1991 11  338.
 1991 12  123·
 1992 01 23.
 1992 02 828·
 1992 03 218.
 1992 04 76
 1992 05 247·
 1992 06 916.
 1992 07 1910.
 1992 08 9014·
 1992 09 3214.
 1992 10 7610·
 1992 11 5920.
 1992 12 172.
 1993 01  187·
 1993 02  108·
 1993 03  9710·
 1993 04  457.
 1993 05  413.
 1993 06  6013.
 1993 07  1611.
 1993 08  8718.
 1993 09  324·
 1993 10  33·
 1993 11  215·
 1993 12  812.
 1994 01 7215.
 1994 02 389·
 1994 03 453.
 1994 04 896.
 1994 05 1911·
 1994 06 919.
 1994 07 449.
 1994 08 9913.
 1994 09 908·
 1994 10 124.
 1994 11 997.
 1994 12 25
 1995 01  316.
 1995 02  773·
 1995 03  187·
 1995 04  47·
 1995 05  118·
 1995 06  863·
 1995 07  329·
 1995 08  011·
 1995 09  234.
 1995 10  654.
 1995 11  973.
 1995 12  995·
 1996 01 878.
 1996 02 636.
 1996 03 957.
 1996 04 154·
 1996 05 472·
 1996 06 574·
 1996 07 3415·
 1996 08 868.
 1996 09 7111.
 1996 10 460.
 1996 11 445.
 1996 12 75
 1997 01  566.
 1997 03  577·
 1997 04  8210.
 1997 05  695.
 1997 06  183.
 1997 07  386·
 1997 08  306.
 1997 09  827·
 1997 10  311·
 1997 11  674.
 1997 12  946.
 1998 01 523·
 1998 04 791.
 1998 05 425·
 1998 06 69·
 1998 07 408.
 1998 08 426.
 1998 09 915·
 1998 10 235.
 1998 11 3616.
 1998 12 99·
 1999 01  626.
 1999 02  27
 1999 03  512.
 1999 04  252.
 1999 05  323.
 1999 06  232.
 1999 07  256·
 1999 08  605.
 1999 09  06.
 1999 10  444·
 1999 11  208·
 1999 12  74.
 2000 01 939·
 2000 02 4712.
 2000 03 237.
 2000 04 856.
 2000 05 606.
 2000 06 127·
 2000 07 483.
 2000 08 394.
 2000 09 775.
 2000 10 473.
 2000 11 32
 2000 12 386.
 2001 01  446.
 2001 02  836.
 2001 03  39
 2001 04  7514·
 2001 05  8712·
 2001 06  777·
 2001 09  561.
 2001 10  71
 2001 11  563.
 2001 12  107·
 2002 01 9612·
 2002 03 692·
 2002 04 272.
 2002 05 9010.
 2002 06 974.
 2002 07 382.
 2002 08 01·
 2002 09 471.
 2002 10 220.
 2003 01  724.
 2003 02  994·
 2003 03  395·
 2003 04  593·
 2003 05  920·
 2003 06  778·
 2003 07  466.
 2003 08  211.
 2003 09  390.
 2003 10  73.
 2003 11  773.
 2003 12  463.
 2004 02 855·
 2004 04 913·
 2004 05 626·
 2004 06 969·
 2004 07 231.
 2004 08 546·
 2004 09 5710.
 2004 10 598.
 2004 11 725.
 2004 12 467.
 2005 01  460.
 2005 03  496.
 2005 04  764·
 2005 05  434·
 2005 06  3310·
 2005 07  212.
 2005 08  52.
 2005 09  454·
 2005 10  52
 2005 11  838·
 2005 12  524·
 2006 01 774.
 2006 02 5811·
 2006 03 794.
 2006 04 376·
 2006 05 903.
 2006 06 3311·
 2006 07 37·
 2006 08 44·
 2006 09 596.
 2006 10 842.
 2006 11 938.
 2007 02  223·
 2007 03  857·
 2007 04  426·
 2007 05  114·
 2007 06  857·
 2007 07  9210·
 2007 08  65
 2007 11  452·
 2008 04 134.
 2008 05 321.
 2008 06 3311.
 2008 07 101·
 2008 08 494.
 2008 09 804.
 2008 10 540.
 2009 01  414.
 2009 02  627.
 2009 03  3612·
 2009 04  589·
 2009 05  35.
 2009 06  477·
 2009 07  259.
 2009 08  35.
 2009 09  820·
 2009 10  230·
 2009 11  981·
 2009 12  713·
 2010 01 935.
 2010 02 343·
 2010 03 312.
 2010 04 684.
 2010 05 736.
 2010 06 4910.
 2010 07 2311·
 2010 08 256.
 2010 09 845·
 2010 10 625.
 2010 11 19·
 2010 12 995.
 2011 01  153.
 2011 02  931·
 2011 03  141·
 2011 04  720·
 2011 05  793.
 2011 06  8512.
 2011 07  374.
 2011 08  5115.
 2011 09  1312.
 2011 10  87.
 2011 11  7212·
 2011 12  67
 2012 01 800·
 2012 02 566·
 2012 03 4412·
 2012 04 769·
 2012 05 6912.
 2012 06 485·
 2012 07 316.
 2012 08 61
 2012 09 9112.
 2012 10 28
 2012 11 243·
 2012 12 28
 2013 01  8611.
 2013 02  656.
 2013 03  8
 2013 04  93·
 2013 05  160·
 2013 06  535.
 2013 07  80
 2013 08  606.
 2013 09  685.
 2013 10  125.
 2013 11  911·
 2013 12  631·
 2014 01 56
 2014 02 862.
 2014 03 164·
 2014 04 250.
 2014 05 182·
 2014 06 442.
 2014 07 552.
 2014 08 774·
 2014 09 162.
 2014 10 792·
 2014 11 342.
 2014 12 763.
 2015 01  382.
 2015 02  122.
 2015 03  30.
 2015 04  30·
 2015 05  982·
 2015 06  8612.
 2015 07  379·
 2015 08  6610·
 2015 09  328.
 2015 10  704.
 2015 11  383·
 2015 12  967·
 2016 01 58·
 2016 02 590.
 2016 03 307·
 2016 04 481.
 2016 05 43·
 2016 06 72


 2016 07 642.
 2016 08 60.
 2016 09 413·
 2016 10 527.
 2016 11 1410·
 2016 12 764·
 2017 01  563.
 2017 02  691.
 2017 03  831·
 2017 04  890.
 2017 05  9
 2017 06  172.
 2017 07  946·
 2017 08  31·
 2017 09  9114.
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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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