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 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  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 82133·
 1976 07 58147.
 1976 08 7137·
 1976 09 7087·
 1976 10 1395.
 1976 11 059.
 1976 12 050·
 1977 01  1361.
 1977 02  1654.
 1977 03  4669·
 1977 04  1101.
 1977 05  59114.
 1977 06  42140.
 1977 07  80138·
 1977 08  21116.
 1977 09  5563·
 1977 10  6670.
 1977 11  662.
 1977 12  9963·
 1978 01 7067.
 1978 02 8951.
 1978 03 5753·
 1978 04 9964·
 1978 05 9675.
 1978 06 36120·
 1978 07 89129.
 1978 08 6117.
 1978 09 5472.
 1978 10 5860·
 1978 11 8443.
 1978 12 3659.
 1979 01  8852.
 1979 02  3060.
 1979 03  4861·
 1979 04  2568·
 1979 05  6670.
 1979 06  52104·
 1979 07  1497·
 1979 08  3699·
 1979 09  8379.
 1979 10  5076·
 1979 11  3750.
 1979 12  5854.
 1980 01 5949.
 1980 02 7447·
 1980 03 071.
 1980 04 379·
 1980 05 36102.
 1980 06 99125.
 1980 07 10132.
 1980 08 999.
 1980 09 8580.
 1980 10 2680.
 1980 11 9758.
 1980 12 3959·
 1981 01  9948.
 1981 02  8145·
 1981 03  1859.
 1981 04  8170·
 1981 05  9883.
 1981 06  13111.
 1981 07  5593·
 1981 08  4784·
 1981 09  2668.
 1981 10  9857.
 1981 11  1658.
 1981 12  7640.
 1982 01 5166·
 1982 02 3759·
 1982 03 3055·
 1982 04 3162.
 1982 05 6965·
 1982 06 5498.
 1982 07 5594·
 1982 08 9976.
 1982 09 9752·
 1982 10 153.
 1982 11 7364·
 1982 12 9349.
 1983 01  8152·
 1983 02  5239·
 1983 03  9141.
 1983 04  5243·
 1983 05  9058.
 1983 06  993.
 1983 07  3985·
 1983 08  3787·
 1983 09  1746·
 1983 10  9654·
 1983 11  7450·
 1983 12  3841.
 1984 01 8236.
 1984 02 6332·
 1984 03 7939.
 1984 04 6640.
 1984 05 2849.
 1984 06 8757.
 1984 07 6065·
 1984 08 6163·
 1984 09 2628.
 1984 10 6725.
 1984 11 4840·
 1984 12 8329·
 1985 01  6927·
 1985 02  3041.
 1985 03  032·
 1985 04  2348.
 1985 05  7647·
 1985 06  2462·
 1985 07  9853·
 1985 08  9246.
 1985 09  9131.
 1985 10  2726.
 1985 11  4816·
 1985 12  2820·
 1986 01 8420.
 1986 02 3729·
 1986 03 8334.
 1986 04 9439·
 1986 05 4940.
 1986 06 8154·
 1986 07 5858.
 1986 08 7855.
 1986 09 524·
 1986 10 926·
 1986 11 5526·
 1986 12 9420.
 1987 01  9516·
 1987 02  9720·
 1987 03  8132·
 1987 04  7837·
 1987 05  9048.
 1987 06  4447.
 1987 07  6845.
 1987 08  9443.
 1987 09  8323·
 1987 10  7630.
 1987 11  7224.
 1987 12  3020·
 1988 01 9329.
 1988 02 4321.
 1988 03 7527·
 1988 04 9835·
 1988 05 6538.
 1988 06 2241·
 1988 07 8349·
 1988 08 3743·
 1988 09 6827·
 1988 10 1122·
 1988 11 2917·
 1988 12 916.
 1989 01  9524.
 1989 02  3814.
 1989 03  6816·
 1989 04  225·
 1989 05  6718·
 1989 06  5138.
 1989 07  8344·
 1989 08  3044·
 1989 09  2621·
 1989 10  2720.
 1989 11  7915.
 1989 12  2920·
 1990 01 4321·
 1990 02 6620·
 1990 03 9019.
 1990 04 6321.
 1990 05 1223·
 1990 06 9337.
 1990 07 7132.
 1990 08 2037.
 1990 09 5015.
 1990 10 5811·
 1990 11 420·
 1990 12 1311·
 1991 01  412.
 1991 02  3717.
 1991 03  9532.
 1991 04  7919.
 1991 05  4123·
 1991 06  3143.
 1991 07  7744.
 1991 08  8242.
 1991 09  5623.
 1991 10  6525·
 1991 11  520·
 1991 12  918.
 1992 01 6913.
 1992 02 8916.
 1992 03 6216·
 1992 04 7321.
 1992 05 2225·
 1992 06 7838.
 1992 07 5539.
 1992 08 1337·
 1992 09 8618·
 1992 10 3317·
 1992 11 1426.
 1992 12 9025·
 1993 01  5525.
 1993 02  8020.
 1993 03  9633.
 1993 04  9421.
 1993 05  4723·
 1993 06  6837.
 1993 07  8442.
 1993 08  3635.
 1993 09  711·
 1993 10  7411.
 1993 11  8410.
 1993 12  5516·
 1994 01 412·
 1994 02 9710·
 1994 03 2712·
 1994 04 1311·
 1994 05 3216·
 1994 06 6320·
 1994 07 6927.
 1994 08 9918·
 1994 09 1019.
 1994 10 2211.
 1994 11 9417·
 1994 12 2511·
 1995 01  8315·
 1995 02  5012·
 1995 03  718.
 1995 04  3022.
 1995 05  1916.
 1995 06  4715.
 1995 07  408·
 1995 08  7610·
 1995 09  126.
 1995 10  3811·
 1995 11  4912.
 1995 12  5014.
 1996 01 8314·
 1996 02 749·
 1996 03 1721·
 1996 04 6715.
 1996 05 7422.
 1996 06 3119·
 1996 07 4925.
 1996 08 6431·
 1996 09 5631·
 1996 10 814·
 1996 11 7814·
 1996 12 38·
 1997 01  2216.
 1997 02  311.
 1997 03  6125.
 1997 04  7321.
 1997 05  9113.
 1997 06  5117·
 1997 07  7825.
 1997 08  8628.
 1997 09  715.
 1997 10  4214·
 1997 11  368.
 1997 12  80
 1998 01 409.
 1998 02 68·
 1998 03 6816.
 1998 04 196.
 1998 05 8414.
 1998 06 6720·
 1998 07 297.
 1998 08 9015.
 1998 09 5824.
 1998 10 7616·
 1998 11 112.
 1998 12 77·
 1999 01  6
 1999 02  914·
 1999 03  9214.
 1999 04  69·
 1999 05  9719.
 1999 06  6521·
 1999 07  3226·
 1999 08  5024.
 1999 09  2611.
 1999 10  709.
 1999 11  7910.
 1999 12  2911.
 2000 01 1110.
 2000 02 755·
 2000 03 1311·
 2000 04 547.
 2000 05 96
 2000 06 5514.
 2000 07 4227.
 2000 08 6416·
 2000 09 5219·
 2000 10 1117·
 2000 11 976·
 2000 12 2113.
 2001 01  717·
 2001 02  678.
 2001 03  358·
 2001 04  148.
 2001 05  734·
 2001 06  7412·
 2001 07  3813.
 2001 08  5417·
 2001 09  34·
 2001 10  78·
 2001 11  124.
 2001 12  817·
 2002 01 2811.
 2002 02 685·
 2002 03 887.
 2002 04 568.
 2002 05 4511·
 2002 06 8017·
 2002 07 2411.
 2002 08 6914.
 2002 09 708·
 2002 10 9616·
 2002 11 115.
 2002 12 319·
 2003 01  507·
 2003 02  89
 2003 03  2511·
 2003 04  815·
 2003 05  5211·
 2003 06  6128·
 2003 07  2932.
 2003 08  8124·
 2003 09  7213.
 2003 10  37
 2003 11  694.
 2003 12  206·
 2004 01 287.
 2004 02 678.
 2004 03 2610.
 2004 04 1015·
 2004 05 6416·
 2004 06 2622·
 2004 07 820·
 2004 08 8923.
 2004 09 4913.
 2004 10 166.
 2004 11 4611.
 2004 12 204·
 2005 01  786.
 2005 02  6110·
 2005 03  969.
 2005 04  9210·
 2005 05  7012.
 2005 06  1215.
 2005 07  4022.
 2005 08  1612.
 2005 09  6813·
 2005 10  4414·
 2005 11  855·
 2005 12  310.
 2006 01 435·
 2006 02 575·
 2006 03 634·
 2006 04 995·
 2006 05 875.
 2006 06 7810.
 2006 07 298.
 2006 08 913·
 2006 09 213.
 2006 10 564.
 2006 11 6711.
 2006 12 7411.
 2007 01  895.
 2007 02  66
 2007 03  814.
 2007 04  311·
 2007 05  597.
 2007 06  107.
 2007 07  59·
 2007 08  435·
 2007 09  2614.
 2007 10  1213.
 2007 11  958.
 2007 12  9812.
 2008 01 812·
 2008 02 2412.
 2008 03 3112.
 2008 04 917·
 2008 05 5118·
 2008 06 1935.
 2008 07 2227.
 2008 08 1416·
 2008 09 226·
 2008 10 9912.
 2008 11 986.
 2008 12 7611.
 2009 01  1710·
 2009 02  906.
 2009 03  178·
 2009 04  8212·
 2009 05  5514.
 2009 06  4031·
 2009 07  5923·
 2009 08  4614.
 2009 09  799·
 2009 10  279.
 2009 11  3211·
 2009 12  69·
 2010 01 584·
 2010 02 506.
 2010 03 6710.
 2010 04 2314.
 2010 05 8814.
 2010 06 3432.
 2010 07 2123·
 2010 08 8713·
 2010 09 8612.
 2010 10 3121.
 2010 11 756.
 2010 12 103·
 2011 01  987.
 2011 02  159.
 2011 03  365·
 2011 04  3018.
 2011 05  9115·
 2011 06  8711.
 2011 07  3611·
 2011 08  1020.
 2011 09  6213.
 2011 10  7212·
 2011 11  319·
 2011 12  388.
 2012 01 278.
 2012 02 212.
 2012 03 31.
 2012 04 273.
 2012 05 3312·
 2012 06 812·
 2012 07 5916.
 2012 08 14
 2012 09 476·
 2012 10 358·
 2012 11 306.
 2012 12 626.
 2013 01  6412·
 2013 02  2712·
 2013 03  7315.
 2013 04  603.
 2013 05  44·
 2013 06  345·
 2013 07  7011·
 2013 08  2016.
 2013 09  910·
 2013 10  3210·
 2013 11  2713·
 2013 12  807.
 2014 01 50
 2014 02 201·
 2014 03 752.
 2014 04 36.
 2014 05 204.
 2014 06 2511·
 2014 07 7315.
 2014 08 77
 2014 09 403.
 2014 10 9713.
 2014 11 07·
 2014 12 1510.
 2015 01  5112·
 2015 02  106.
 2015 03  6414·
 2015 04  5513.
 2015 05  2515.
 2015 06  6732·
 2015 07  9614.
 2015 08  597.
 2015 09  559·
 2015 10  9114·
 2015 11  539·
 2015 12  169.
 2016 01 608.
 2016 02 332·
 2016 03 173.
 2016 04 388.
 2016 05 8511·
 2016 06 6912.
 2016 07 9515.
 2016 08 6314·
 2016 09 986·
 2016 10 993·
 2016 11 179·
 2016 12 5411.
 2017 01  947.
 2017 02  49


 2017 03  418.
 2017 04  08·
 2017 05  9110·
 2017 06  688·
 2017 07  4812·
 2017 08  121.
 2017 09  350.
 2017 10  337·
 2017 11  4515.
 2017 12  2915·
 2018 01 9316.
 2018 02 4326·
 2018 03 6310·
 2018 04 1415.
 2018 05 6115·
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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