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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 16-19 years: NSA
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 1976 06 40133.
 1976 07 37147·
 1976 08 93137.
 1976 09 9287.
 1976 10 4395.
 1976 11 5659.
 1976 12 4350·
 1977 01  4661·
 1977 02  8754.
 1977 03  4969·
 1977 04  69101.
 1977 05  73114·
 1977 06  23140·
 1977 07  97138·
 1977 08  84116.
 1977 09  1863.
 1977 10  2770.
 1977 11  662.
 1977 12  2563.
 1978 01 5067.
 1978 02 9751.
 1978 03 953.
 1978 04 5664·
 1978 05 6375.
 1978 06 61120·
 1978 07 62129.
 1978 08 65117·
 1978 09 7772.
 1978 10 6860·
 1978 11 4743·
 1978 12 6459·
 1979 01  3452·
 1979 02  9360·
 1979 03  7061.
 1979 04  9168·
 1979 05  670.
 1979 06  38104.
 1979 07  6397·
 1979 08  999·
 1979 09  8479·
 1979 10  2776.
 1979 11  8350·
 1979 12  754·
 1980 01 9049·
 1980 02 1147.
 1980 03 1071.
 1980 04 9679·
 1980 05 67102·
 1980 06 65125.
 1980 07 53132·
 1980 08 1599·
 1980 09 8380.
 1980 10 9080·
 1980 11 4258.
 1980 12 2759.
 1981 01  3448.
 1981 02  1145.
 1981 03  3559.
 1981 04  1970·
 1981 05  3983·
 1981 06  78111.
 1981 07  1293.
 1981 08  584.
 1981 09  4068.
 1981 10  6757.
 1981 11  8058·
 1981 12  2340.
 1982 01 966.
 1982 02 7859.
 1982 03 7255·
 1982 04 3462·
 1982 05 3865·
 1982 06 3798·
 1982 07 4394·
 1982 08 2876·
 1982 09 4752·
 1982 10 9453.
 1982 11 7664.
 1982 12 1749·
 1983 01  8052.
 1983 02  2439.
 1983 03  7741.
 1983 04  3843·
 1983 05  658·
 1983 06  2893·
 1983 07  7785.
 1983 08  5687·
 1983 09  2046.
 1983 10  3154.
 1983 11  3450.
 1983 12  5741·
 1984 01 4036·
 1984 02 8432.
 1984 03 2939·
 1984 04 5540·
 1984 05 1149·
 1984 06 6157·
 1984 07 6865.
 1984 08 8763.
 1984 09 128·
 1984 10 6425·
 1984 11 8340·
 1984 12 1729·
 1985 01  627.
 1985 02  1841.
 1985 03  3132.
 1985 04  3248·
 1985 05  4347·
 1985 06  7362.
 1985 07  9453·
 1985 08  4646.
 1985 09  5831.
 1985 10  426.
 1985 11  7816.
 1985 12  9520.
 1986 01 1820·
 1986 02 1229·
 1986 03 1434·
 1986 04 4339·
 1986 05 2040·
 1986 06 2254·
 1986 07 6058.
 1986 08 7855·
 1986 09 8124·
 1986 10 8526.
 1986 11 9726·
 1986 12 1320.
 1987 01  4616.
 1987 02  7620.
 1987 03  3232·
 1987 04  8637.
 1987 05  8348·
 1987 06  9647·
 1987 07  9645.
 1987 08  5843.
 1987 09  8823·
 1987 10  6930·
 1987 11  4624.
 1987 12  2020.
 1988 01 7929·
 1988 02 4721.
 1988 03 6427.
 1988 04 8335.
 1988 05 038.
 1988 06 441·
 1988 07 5549·
 1988 08 8443·
 1988 09 2027·
 1988 10 4122·
 1988 11 5317·
 1988 12 8816.
 1989 01  3424.
 1989 02  8414·
 1989 03  1416.
 1989 04  8225.
 1989 05  6118·
 1989 06  8338·
 1989 07  1844·
 1989 08  7944·
 1989 09  4521.
 1989 10  1220.
 1989 11  7315·
 1989 12  1720·
 1990 01 5521·
 1990 02 7320·
 1990 03 1119·
 1990 04 5821.
 1990 05 8423.
 1990 06 9237·
 1990 07 8832·
 1990 08 9137.
 1990 09 5415·
 1990 10 1711.
 1990 11 8520.
 1990 12 2811.
 1991 01  612·
 1991 02  2517·
 1991 03  1032·
 1991 04  719·
 1991 05  1123.
 1991 06  1743.
 1991 07  9444·
 1991 08  9242.
 1991 09  6323.
 1991 10  1725·
 1991 11  9420.
 1991 12  7018·
 1992 01 8113·
 1992 02 7616·
 1992 03 9116·
 1992 04 5421·
 1992 05 925·
 1992 06 6938·
 1992 07 9139.
 1992 08 8137.
 1992 09 1618·
 1992 10 9717·
 1992 11 2826·
 1992 12 1625·
 1993 01  9625.
 1993 02  8420.
 1993 03  5633.
 1993 04  4521.
 1993 05  6823·
 1993 06  8337.
 1993 07  5942·
 1993 08  8135·
 1993 09  7711.
 1993 10  6711.
 1993 11  4210.
 1993 12  6316·
 1994 01 9212.
 1994 02 3810·
 1994 03 3712·
 1994 04 5411·
 1994 05 716.
 1994 06 2020·
 1994 07 127.
 1994 08 4018·
 1994 09 4019.
 1994 10 6411.
 1994 11 1517·
 1994 12 3611.
 1995 01  3715·
 1995 02  4612·
 1995 03  8718·
 1995 04  7922.
 1995 05  6616·
 1995 06  6515.
 1995 07  478.
 1995 08  3110·
 1995 09  21
 1995 10  4811.
 1995 11  5212·
 1995 12  8214.
 1996 01 2214.
 1996 02 449.
 1996 03 8421.
 1996 04 4315·
 1996 05 1322·
 1996 06 3019.
 1996 07 5125·
 1996 08 5331·
 1996 09 6231·
 1996 10 414.
 1996 11 8214.
 1996 12 748·
 1997 01  6416·
 1997 02  941·
 1997 03  3525·
 1997 04  9421·
 1997 05  3913·
 1997 06  4917·
 1997 07  9225.
 1997 08  2728·
 1997 09  3015·
 1997 10  4414·
 1997 11  598.
 1997 12  107.
 1998 01 69·
 1998 02 80
 1998 03 6716.
 1998 04 66·
 1998 05 6114·
 1998 06 8220.
 1998 07 757.
 1998 08 215.
 1998 09 1624·
 1998 10 216.
 1998 11 6212·
 1998 12 13
 1999 01  136·
 1999 02  1314.
 1999 03  3614.
 1999 04  759.
 1999 05  2219.
 1999 06  1721.
 1999 07  2926·
 1999 08  5224·
 1999 09  3711·
 1999 10  399.
 1999 11  9610.
 1999 12  3111·
 2000 01 7710.
 2000 02 29
 2000 03 2011·
 2000 04 267.
 2000 05 876.
 2000 06 6214·
 2000 07 827·
 2000 08 7416·
 2000 09 3519.
 2000 10 4017.
 2000 11 906.
 2000 12 3813·
 2001 01  167.
 2001 02  888.
 2001 03  248.
 2001 04  68·
 2001 05  484.
 2001 06  5512·
 2001 07  9113·
 2001 08  9117·
 2001 09  774·
 2001 10  178·
 2001 11  994·
 2001 12  31
 2002 01 7111.
 2002 02 755.
 2002 03 777.
 2002 04 88
 2002 05 2311·
 2002 06 5417·
 2002 07 8411·
 2002 08 5114·
 2002 09 558.
 2002 10 516.
 2002 11 115.
 2002 12 339.
 2003 01  87.
 2003 02  24·
 2003 03  3411·
 2003 04  715.
 2003 05  5411.
 2003 06  4628·
 2003 07  1532·
 2003 08  2824.
 2003 09  8513·
 2003 10  635.
 2003 11  14·
 2003 12  936.
 2004 01 217.
 2004 02 38.
 2004 03 7310·
 2004 04 7715·
 2004 05 616.
 2004 06 4222·
 2004 07 3820·
 2004 08 2023·
 2004 09 913·
 2004 10 796.
 2004 11 2811.
 2004 12 834.
 2005 01  256.
 2005 02  4010·
 2005 03  999.
 2005 04  5510.
 2005 05  7212·
 2005 06  7615·
 2005 07  3322.
 2005 08  4812·
 2005 09  9413·
 2005 10  6214.
 2005 11  375.
 2005 12  10·
 2006 01 625.
 2006 02 985·
 2006 03 42
 2006 04 775.
 2006 05 685.
 2006 06 1010·
 2006 07 48·
 2006 08 6313.
 2006 09 323·
 2006 10 484.
 2006 11 611·
 2006 12 7211·
 2007 01  99
 2007 02  877.
 2007 03  554.
 2007 04  421·
 2007 05  377.
 2007 06  287·
 2007 07  819.
 2007 08  365·
 2007 09  4014·
 2007 10  9713·
 2007 11  418.
 2007 12  4112.
 2008 01 2812·
 2008 02 4312·
 2008 03 1712.
 2008 04 7217·
 2008 05 4518.
 2008 06 4335·
 2008 07 1727·
 2008 08 6516·
 2008 09 596·
 2008 10 9512·
 2008 11 70
 2008 12 8411.
 2009 01  6610.
 2009 02  27
 2009 03  35
 2009 04  1612.
 2009 05  8414·
 2009 06  8831·
 2009 07  9223.
 2009 08  7414·
 2009 09  57
 2009 10  539.
 2009 11  4811·
 2009 12  979.
 2010 01 544·
 2010 02 246·
 2010 03 3510·
 2010 04 4714.
 2010 05 7014·
 2010 06 2432.
 2010 07 1023·
 2010 08 1113.
 2010 09 2412.
 2010 10 621.
 2010 11 546.
 2010 12 43.
 2011 01  607·
 2011 02  449.
 2011 03  735.
 2011 04  6218·
 2011 05  4615·
 2011 06  3811.
 2011 07  111.
 2011 08  4920.
 2011 09  7813·
 2011 10  1512.
 2011 11  929·
 2011 12  528.
 2012 01 748.
 2012 02 232·
 2012 03 291·
 2012 04 853·
 2012 05 7912·
 2012 06 4012.
 2012 07 1816.
 2012 08 855·
 2012 09 616.
 2012 10 658·
 2012 11 926·
 2012 12 166.
 2013 01  1512.
 2013 02  2312·
 2013 03  615·
 2013 04  643·
 2013 05  604.
 2013 06  655·
 2013 07  4211·
 2013 08  4416.
 2013 09  3910·
 2013 10  6610·
 2013 11  713·
 2013 12  927.
 2014 01 238.
 2014 02 271·
 2014 03 332.
 2014 04 726.
 2014 05 54.
 2014 06 7311·
 2014 07 7615.
 2014 08 729.
 2014 09 53·
 2014 10 5513·
 2014 11 187.
 2014 12 410·
 2015 01  6612.
 2015 02  476.
 2015 03  6614·
 2015 04  713.
 2015 05  5715·
 2015 06  5132.
 2015 07  5014·
 2015 08  437.
 2015 09  749·
 2015 10  9214·
 2015 11  289·
 2015 12  09.
 2016 01 348.
 2016 02 192·
 2016 03 823.
 2016 04 928.
 2016 05 8311·
 2016 06 912·
 2016 07 1815·
 2016 08 5514·
 2016 09 896.
 2016 10 623.


 2016 11 689.
 2016 12 5411.
 2017 01  467.
 2017 02  3
 2017 03  878.
 2017 04  75
 2017 05  7410.
 2017 06  828.
 2017 07  5912.
 2017 08  321·
 2017 09  170·
 2017 10  767.
 2017 11  9015·
 2017 12  6215.
 2018 01 4316.
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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, 16-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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