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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 5250·
 1976 07 5647.
 1976 08 7539·
 1976 09 3532.
 1976 10 8824.
 1976 11 8921.
 1976 12 9319·
 1977 01  8619.
 1977 02  3519·
 1977 03  6316.
 1977 04  5522.
 1977 05  7937.
 1977 06  4258.
 1977 07  6233.
 1977 08  7638.
 1977 09  6025·
 1977 10  8410·
 1977 11  9122.
 1977 12  9120·
 1978 01 9521.
 1978 02 6411.
 1978 03 8216·
 1978 04 6522.
 1978 05 8131.
 1978 06 454.
 1978 07 9254·
 1978 08 8538·
 1978 09 3627·
 1978 10 5725·
 1978 11 320.
 1978 12 6521.
 1979 01  423.
 1979 02  9816·
 1979 03  2022.
 1979 04  4127·
 1979 05  5444·
 1979 06  2648.
 1979 07  7652.
 1979 08  7747.
 1979 09  8023.
 1979 10  6727·
 1979 11  2833.
 1979 12  6124.
 1980 01 221.
 1980 02 7221.
 1980 03 5625.
 1980 04 627·
 1980 05 6431.
 1980 06 1641.
 1980 07 6839.
 1980 08 4935·
 1980 09 3428.
 1980 10 9936.
 1980 11 9630.
 1980 12 5419.
 1981 01  818·
 1981 02  4726·
 1981 03  9522·
 1981 04  830.
 1981 05  327·
 1981 06  1037.
 1981 07  4834.
 1981 08  2438.
 1981 09  6527.
 1981 10  6432·
 1981 11  6125.
 1981 12  4125.
 1982 01 6232.
 1982 02 933.
 1982 03 6627.
 1982 04 2022.
 1982 05 8922·
 1982 06 7034.
 1982 07 1945.
 1982 08 5037.
 1982 09 6446·
 1982 10 9827·
 1982 11 320·
 1982 12 4524.
 1983 01  3222·
 1983 02  6815.
 1983 03  2328·
 1983 04  4032.
 1983 05  6334·
 1983 06  8045·
 1983 07  1151.
 1983 08  136.
 1983 09  4928.
 1983 10  6130·
 1983 11  2520·
 1983 12  1426·
 1984 01 1023·
 1984 02 5913.
 1984 03 4511.
 1984 04 9213·
 1984 05 9128·
 1984 06 5235.
 1984 07 7943.
 1984 08 7331.
 1984 09 6020·
 1984 10 3810.
 1984 11 5715.
 1984 12 2115.
 1985 01  1215.
 1985 02  4420·
 1985 03  3723·
 1985 04  2322·
 1985 05  6622.
 1985 06  2033·
 1985 07  128·
 1985 08  9131·
 1985 09  6625.
 1985 10  4119.
 1985 11  5415.
 1985 12  6513.
 1986 01 80
 1986 02 78.
 1986 03 297.
 1986 04 615·
 1986 05 414·
 1986 06 4516.
 1986 07 8222·
 1986 08 327·
 1986 09 5615.
 1986 10 417.
 1986 11 9418.
 1986 12 689·
 1987 01  8113.
 1987 02  609·
 1987 03  7312·
 1987 04  396·
 1987 05  4816.
 1987 06  1320·
 1987 07  5115.
 1987 08  8026.
 1987 09  5010.
 1987 10  885.
 1987 11  8312.
 1987 12  786·
 1988 01 73·
 1988 02 37
 1988 03 5113.
 1988 04 4615.
 1988 05 6313.
 1988 06 3413·
 1988 07 6213.
 1988 08 2219·
 1988 09 879·
 1988 10 8011·
 1988 11 487·
 1988 12 6910.
 1989 01  7410·
 1989 02  010.
 1989 03  6516·
 1989 04  758·
 1989 05  423·
 1989 06  4419.
 1989 07  9511.
 1989 08  5219.
 1989 09  368·
 1989 10  8812·
 1989 11  45
 1989 12  3915.
 1990 01 255·
 1990 02 3311.
 1990 03 463.
 1990 04 983.
 1990 05 27.
 1990 06 47.
 1990 07 5514·
 1990 08 1715.
 1990 09 872·
 1990 10 5011.
 1990 11 537·
 1990 12 108·
 1991 01  25
 1991 02  488·
 1991 03  479.
 1991 04  135.
 1991 05  84
 1991 06  9815·
 1991 07  7016.
 1991 08  9113·
 1991 09  5810·
 1991 10  259.
 1991 11  768.
 1991 12  303·
 1992 01 683.
 1992 02 808·
 1992 03 498·
 1992 04 446.
 1992 05 557.
 1992 06 3816.
 1992 07 9410·
 1992 08 7114.
 1992 09 9114·
 1992 10 9910·
 1992 11 4320.
 1992 12 732.
 1993 01  697·
 1993 02  898·
 1993 03  5410.
 1993 04  397·
 1993 05  713.
 1993 06  5913.
 1993 07  711·
 1993 08  8118.
 1993 09  524·
 1993 10  833.
 1993 11  105·
 1993 12  372.
 1994 01 7015.
 1994 02 62
 1994 03 933·
 1994 04 716.
 1994 05 5711·
 1994 06 219.
 1994 07 149.
 1994 08 6913·
 1994 09 328.
 1994 10 124·
 1994 11 547.
 1994 12 454·
 1995 01  396.
 1995 02  83·
 1995 03  197·
 1995 04  377.
 1995 05  478.
 1995 06  11
 1995 07  439.
 1995 08  711.
 1995 09  504·
 1995 10  464·
 1995 11  803·
 1995 12  445.
 1996 01 678.
 1996 02 636.
 1996 03 137·
 1996 04 61
 1996 05 422·
 1996 06 384·
 1996 07 4915.
 1996 08 948·
 1996 09 4611.
 1996 10 72
 1996 11 185.
 1996 12 8
 1997 01  71
 1997 03  887·
 1997 04  7810·
 1997 05  915·
 1997 06  363·
 1997 07  39
 1997 08  116.
 1997 09  547.
 1997 10  8711·
 1997 11  994.
 1997 12  226·
 1998 01 363·
 1998 04 921·
 1998 05 695·
 1998 06 44
 1998 07 998.
 1998 08 456·
 1998 09 73
 1998 10 335.
 1998 11 3316.
 1998 12 669·
 1999 01  646·
 1999 02  71
 1999 03  492.
 1999 04  982.
 1999 05  153.
 1999 06  652.
 1999 07  856.
 1999 08  115.
 1999 09  276.
 1999 10  454·
 1999 11  58.
 1999 12  984·
 2000 01 269·
 2000 02 7012.
 2000 03 967·
 2000 04 806·
 2000 05 626.
 2000 06 207.
 2000 07 713·
 2000 08 04.
 2000 09 115·
 2000 10 23.
 2000 11 686·
 2000 12 276·
 2001 01  726·
 2001 02  476.
 2001 03  496.
 2001 04  5514·
 2001 05  7112·
 2001 06  137.
 2001 09  41.
 2001 10  42·
 2001 11  603·
 2001 12  817·
 2002 01 4512.
 2002 03 182.
 2002 04 122·
 2002 05 5810·
 2002 06 94·
 2002 07 652.
 2002 08 281.
 2002 09 751·
 2002 10 590.
 2003 01  41
 2003 02  344.
 2003 03  885·
 2003 04  843.
 2003 05  630·
 2003 06  818.
 2003 07  816.
 2003 08  961·
 2003 09  770.
 2003 10  433·
 2003 11  583.
 2003 12  333.
 2004 02 515·
 2004 04 21
 2004 05 526.
 2004 06 589·
 2004 07 801·
 2004 08 406.
 2004 09 2010.
 2004 10 59
 2004 11 825.
 2004 12 517.
 2005 01  430.
 2005 03  496·
 2005 04  24·
 2005 05  294·
 2005 06  2810·
 2005 07  6512.
 2005 08  92.
 2005 09  754.
 2005 10  68.
 2005 11  718·
 2005 12  974.
 2006 01 14
 2006 02 3411·
 2006 03 55
 2006 04 866·
 2006 05 953.
 2006 06 9311.
 2006 07 297.
 2006 08 184.
 2006 09 966.
 2006 10 912.
 2006 11 318·
 2007 02  653.
 2007 03  167.
 2007 04  596·
 2007 05  25
 2007 06  187.
 2007 07  8010.
 2007 08  541.
 2007 11  972.
 2008 04 994·
 2008 05 381·
 2008 06 5711·
 2008 07 611.
 2008 08 514.
 2008 09 684.
 2008 10 750·
 2009 01  554.
 2009 02  427·
 2009 03  6712·
 2009 04  399.
 2009 05  425.
 2009 06  687.
 2009 07  639.
 2009 08  65.
 2009 09  100·
 2009 10  480.
 2009 11  61·
 2009 12  583·
 2010 01 71
 2010 02 24
 2010 03 702.
 2010 04 24.
 2010 05 636.
 2010 06 6810.
 2010 07 5611·
 2010 08 696·
 2010 09 495·
 2010 10 725·
 2010 11 909·
 2010 12 155.
 2011 01  183.
 2011 02  561.
 2011 03  221·
 2011 04  23
 2011 05  823.
 2011 06  6412·
 2011 07  274·
 2011 08  9815·
 2011 09  7912.
 2011 10  65
 2011 11  612·
 2011 12  740.
 2012 01 710·
 2012 02 546.
 2012 03 8412·
 2012 04 59.
 2012 05 4712.
 2012 06 49
 2012 07 1116·
 2012 08 757.
 2012 09 2012.
 2012 10 951.
 2012 11 643.
 2012 12 895.
 2013 01  2811.
 2013 02  606.
 2013 03  428·
 2013 04  803·
 2013 05  320·
 2013 06  405.
 2013 07  714.
 2013 08  36.
 2013 09  235.
 2013 10  525.
 2013 11  01·
 2013 12  401·
 2014 01 110.
 2014 02 422·
 2014 03 64.
 2014 04 990·
 2014 05 352.
 2014 06 77
 2014 07 90
 2014 08 114·
 2014 09 58
 2014 10 542·
 2014 11 752·
 2014 12 323.
 2015 01  682·
 2015 02  902.
 2015 03  130·
 2015 04  440.
 2015 05  782·
 2015 06  3012·
 2015 07  799·
 2015 08  5310·
 2015 09  268·
 2015 10  424.
 2015 11  743·
 2015 12  937.
 2016 01 748.
 2016 02 220·
 2016 03 22
 2016 04 181·
 2016 05 103·
 2016 06 883.
 2016 07 752·
 2016 08 100·
 2016 09 48
 2016 10 84


 2016 11 710·
 2016 12 774.
 2017 01  253·
 2017 02  791.
 2017 03  191·
 2017 04  500·
 2017 05  44.
 2017 06  682.
 2017 07  376·
 2017 08  851.
 2017 09  7314·
 2017 10  7014·
 2017 11  106.
 2017 12  647.
 2018 01 441.
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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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