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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 20-24 years, Men: 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 4534·
 1976 07 1029·
 1976 08 6322·
 1976 09 7421·
 1976 10 3813.
 1976 11 5515·
 1976 12 2214.
 1977 01  7115.
 1977 02  1114.
 1977 03  1012·
 1977 04  9516·
 1977 05  7918.
 1977 06  1232·
 1977 07  5716.
 1977 08  9420·
 1977 09  4316·
 1977 10  183·
 1977 11  412·
 1977 12  5711.
 1978 01 3112·
 1978 02 296.
 1978 03 827·
 1978 04 4711.
 1978 05 3818.
 1978 06 7130·
 1978 07 4732·
 1978 08 5322·
 1978 09 8215·
 1978 10 9315·
 1978 11 8217.
 1978 12 8617.
 1979 01  816.
 1979 02  7115·
 1979 03  9216.
 1979 04  8518.
 1979 05  8630.
 1979 06  627.
 1979 07  1030.
 1979 08  1229.
 1979 09  814.
 1979 10  2317·
 1979 11  9218·
 1979 12  5617·
 1980 01 9516·
 1980 02 7316·
 1980 03 2017·
 1980 04 3012·
 1980 05 9024.
 1980 06 3025·
 1980 07 026.
 1980 08 7127.
 1980 09 6320·
 1980 10 9520.
 1980 11 6420.
 1980 12 4214.
 1981 01  712·
 1981 02  9419·
 1981 03  6816.
 1981 04  3123·
 1981 05  4221·
 1981 06  7725·
 1981 07  9522·
 1981 08  5125.
 1981 09  1320.
 1981 10  1920.
 1981 11  5122.
 1981 12  4018·
 1982 01 8725·
 1982 02 2021.
 1982 03 6815·
 1982 04 6116·
 1982 05 6014·
 1982 06 718·
 1982 07 129·
 1982 08 114·
 1982 09 5022.
 1982 10 2922.
 1982 11 3413·
 1982 12 7414.
 1983 01  213.
 1983 02  627.
 1983 03  7220.
 1983 04  1719.
 1983 05  8423.
 1983 06  727·
 1983 07  4736.
 1983 08  9422·
 1983 09  9120.
 1983 10  8821·
 1983 11  1617.
 1983 12  9218.
 1984 01 4210·
 1984 02 568.
 1984 03 60
 1984 04 2410·
 1984 05 8217·
 1984 06 8627·
 1984 07 8733·
 1984 08 2817·
 1984 09 7810.
 1984 10 8011·
 1984 11 2715·
 1984 12 6713·
 1985 01  2615.
 1985 02  6116·
 1985 03  3813·
 1985 04  2914·
 1985 05  4414.
 1985 06  8124·
 1985 07  015·
 1985 08  2620.
 1985 09  7815·
 1985 10  1616.
 1985 11  2111·
 1985 12  977.
 1986 01 956.
 1986 02 647·
 1986 03 323·
 1986 04 510·
 1986 05 9010.
 1986 06 5212·
 1986 07 9116·
 1986 08 3619·
 1986 09 8210.
 1986 10 317·
 1986 11 7811·
 1986 12 57.
 1987 01  159.
 1987 02  757.
 1987 03  09.
 1987 04  505·
 1987 05  5813·
 1987 06  8518.
 1987 07  8813·
 1987 08  3220·
 1987 09  79.
 1987 10  864·
 1987 11  110·
 1987 12  404.
 1988 01 791.
 1988 03 2911·
 1988 04 188.
 1988 05 8711.
 1988 06 189.
 1988 07 8910.
 1988 08 4717.
 1988 09 104·
 1988 10 957.
 1988 11 675.
 1988 12 206.
 1989 01  736·
 1989 02  25·
 1989 03  8811.
 1989 04  922·
 1989 05  64
 1989 06  6013.
 1989 07  24·
 1989 08  4712·
 1989 09  956·
 1989 10  137.
 1989 11  845·
 1989 12  8910.
 1990 01 42.
 1990 02 287·
 1990 03 363·
 1990 04 523.
 1990 05 557·
 1990 06 25.
 1990 07 8213·
 1990 08 9115·
 1990 09 342.
 1990 10 528.
 1990 11 738.
 1990 12 889.
 1991 01  554.
 1991 02  235·
 1991 03  843·
 1991 04  504.
 1991 05  577.
 1991 06  8413.
 1991 07  1616.
 1991 08  912.
 1991 09  07·
 1991 10  308.
 1991 11  947·
 1991 12  214·
 1992 01 751.
 1992 02 795·
 1992 03 686.
 1992 04 685·
 1992 05 937·
 1992 06 7513·
 1992 07 1410·
 1992 08 566.
 1992 09 9210·
 1992 10 887.
 1992 11 329·
 1993 01  173.
 1993 02  365.
 1993 03  116.
 1993 04  483·
 1993 05  87.
 1993 06  116.
 1993 07  656·
 1993 08  1211.
 1993 09  104.
 1993 10  323.
 1993 11  932·
 1993 12  991·
 1994 01 319·
 1994 02 367.
 1994 03 633.
 1994 04 106.
 1994 05 18·
 1994 06 868.
 1994 07 729.
 1994 08 708·
 1994 09 778·
 1994 10 694·
 1994 11 363·
 1994 12 302·
 1995 01  415.
 1995 02  993.
 1995 03  1
 1995 04  655.
 1995 05  998.
 1995 06  133.
 1995 07  369·
 1995 08  759.
 1995 09  844·
 1995 10  754.
 1995 11  352.
 1995 12  855.
 1996 01 528·
 1996 02 723·
 1996 03 171·
 1996 04 471.
 1996 05 84
 1996 06 174·
 1996 07 2611·
 1996 08 354.
 1996 09 882·
 1996 10 491.
 1996 11 322.
 1996 12 503·
 1997 01  94
 1997 03  297.
 1997 04  288.
 1997 05  185·
 1997 06  593·
 1997 07  465.
 1997 08  335.
 1997 09  882.
 1997 10  66
 1997 11  133·
 1997 12  936.
 1998 01 363.
 1998 04 201.
 1998 05 671.
 1998 06 759·
 1998 07 635.
 1998 08 542.
 1998 09 734.
 1998 10 742.
 1998 11 9312·
 1998 12 239·
 1999 01  166.
 1999 02  9
 1999 05  783·
 1999 06  102·
 1999 07  113·
 1999 08  252·
 1999 09  922·
 1999 10  222.
 1999 11  952·
 1999 12  901.
 2000 01 363·
 2000 02 89
 2000 03 316.
 2000 04 993·
 2000 05 366.
 2000 06 697.
 2000 07 73.
 2000 08 704.
 2000 09 425.
 2000 10 433.
 2000 11 353·
 2000 12 483·
 2001 01  283.
 2001 02  183.
 2001 03  556·
 2001 04  211.
 2001 05  969·
 2001 06  253.
 2001 09  281.
 2001 10  27
 2001 11  722.
 2001 12  215·
 2002 01 435.
 2002 03 412·
 2002 04 42·
 2002 05 88
 2002 06 124·
 2002 07 882.
 2002 08 691.
 2002 09 331·
 2003 01  744.
 2003 02  374.
 2003 03  684.
 2003 04  86
 2003 05  900.
 2003 06  845·
 2003 07  254.
 2003 08  51·
 2003 10  503·
 2003 11  463·
 2003 12  913.
 2004 02 725.
 2004 04 663·
 2004 05 685.
 2004 06 419·
 2004 07 921.
 2004 08 766.
 2004 09 207.
 2004 10 768.
 2004 11 985.
 2004 12 424·
 2005 01  940.
 2005 03  215·
 2005 04  464.
 2005 05  534.
 2005 06  118.
 2005 07  269·
 2005 08  18
 2005 09  224.
 2005 10  158.
 2005 11  688·
 2005 12  214.
 2006 01 864.
 2006 02 745.
 2006 03 451.
 2006 04 853·
 2006 05 81.
 2006 06 8311·
 2006 07 84
 2006 08 694·
 2006 09 776.
 2006 10 612.
 2006 11 365.
 2007 02  523.
 2007 03  57.
 2007 04  534·
 2007 05  741·
 2007 06  43
 2007 07  3010·
 2007 08  260.
 2008 04 1
 2008 05 731.
 2008 06 146.
 2008 07 761.
 2008 08 414.
 2008 09 984·
 2008 10 470·
 2009 01  214.
 2009 02  447.
 2009 03  08.
 2009 04  408.
 2009 05  75.
 2009 06  864·
 2009 07  85
 2009 08  315.
 2009 09  10.
 2009 10  680·
 2009 11  861·
 2009 12  853.
 2010 01 97
 2010 02 153·
 2010 03 59
 2010 04 871.
 2010 05 161·
 2010 06 765·
 2010 07 851·
 2010 08 522.
 2010 09 22.
 2010 10 292.
 2010 11 726.
 2010 12 175·
 2011 01  22
 2011 02  720.
 2011 03  500.
 2011 04  45
 2011 05  723.
 2011 06  318.
 2011 07  774·
 2011 08  2312·
 2011 09  719.
 2011 10  584.
 2011 11  349·
 2011 12  660.
 2012 01 630.
 2012 02 264.
 2012 03 27
 2012 04 109.
 2012 05 1610.
 2012 06 37
 2012 07 8915.
 2012 08 197.
 2012 09 2612·
 2012 10 16
 2012 11 762.
 2012 12 805.
 2013 01  1111·
 2013 02  135.
 2013 03  70
 2013 04  73·
 2013 05  150.
 2013 06  30.
 2013 07  770.
 2013 08  376·
 2013 09  85·
 2013 10  88
 2013 11  291.
 2013 12  331.
 2014 01 830.
 2014 02 93
 2014 03 834·
 2014 04 830·
 2014 05 600.
 2014 06 672.
 2014 07 192.
 2014 08 04.
 2014 09 831·
 2014 10 862·
 2014 11 46
 2014 12 223·
 2015 01  222·
 2015 02  512.
 2015 03  94
 2015 04  120.
 2015 05  690.
 2015 06  876.
 2015 07  213·
 2015 08  576·
 2015 09  454·
 2015 10  454·
 2015 11  73.
 2015 12  706·
 2016 01 93
 2016 02 990·
 2016 03 593.
 2016 04 911.
 2016 05 83
 2016 06 50


 2016 07 102.
 2016 08 800.
 2016 09 83.
 2016 10 257·
 2016 11 1510·
 2016 12 264.
 2017 01  893.
 2017 02  721·
 2017 03  571.
 2017 04  430.
 2017 05  684.
 2017 06  671.
 2017 07  42
 2017 08  671·
 2017 09  1610·
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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, Men: 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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