Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 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
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 1976 06 2234·
 1976 07 2429.
 1976 08 3322·
 1976 09 1421·
 1976 10 5613.
 1976 11 5115.
 1976 12 9214·
 1977 01  315.
 1977 02  8814·
 1977 03  812.
 1977 04  8416·
 1977 05  2218·
 1977 06  6732.
 1977 07  7616·
 1977 08  2020.
 1977 09  1616·
 1977 10  703.
 1977 11  6112.
 1977 12  4011.
 1978 01 5212·
 1978 02 976·
 1978 03 97
 1978 04 511·
 1978 05 2618.
 1978 06 7230·
 1978 07 3932·
 1978 08 422·
 1978 09 5615·
 1978 10 4815.
 1978 11 6917·
 1978 12 4917.
 1979 01  8716·
 1979 02  9815·
 1979 03  9316·
 1979 04  7918·
 1979 05  8830·
 1979 06  2427·
 1979 07  4330.
 1979 08  5729·
 1979 09  5214·
 1979 10  5017.
 1979 11  7718.
 1979 12  6917·
 1980 01 016.
 1980 02 2716.
 1980 03 7517·
 1980 04 3012·
 1980 05 7524·
 1980 06 3125·
 1980 07 4426.
 1980 08 7727·
 1980 09 4620·
 1980 10 6220·
 1980 11 1520.
 1980 12 7314·
 1981 01  712·
 1981 02  4519·
 1981 03  4616·
 1981 04  623.
 1981 05  7821·
 1981 06  3125.
 1981 07  1922·
 1981 08  8825·
 1981 09  320.
 1981 10  9420.
 1981 11  3822.
 1981 12  5918.
 1982 01 5125·
 1982 02 3721·
 1982 03 3815·
 1982 04 7916.
 1982 05 1614·
 1982 06 8318·
 1982 07 7329·
 1982 08 3814.
 1982 09 1722·
 1982 10 8322.
 1982 11 2613·
 1982 12 4914·
 1983 01  9813·
 1983 02  137.
 1983 03  320.
 1983 04  4819.
 1983 05  2923.
 1983 06  7327·
 1983 07  3536·
 1983 08  022.
 1983 09  320·
 1983 10  8821·
 1983 11  8117·
 1983 12  9118.
 1984 01 4010·
 1984 02 98.
 1984 03 218·
 1984 04 3610.
 1984 05 8417.
 1984 06 1127.
 1984 07 6133.
 1984 08 7117.
 1984 09 410·
 1984 10 9511.
 1984 11 3415.
 1984 12 6013.
 1985 01  9415·
 1985 02  8616.
 1985 03  9613·
 1985 04  9014·
 1985 05  7314.
 1985 06  3424.
 1985 07  2815·
 1985 08  7520.
 1985 09  8615·
 1985 10  1516.
 1985 11  3911.
 1985 12  527.
 1986 01 16.
 1986 02 297.
 1986 03 583·
 1986 04 8510.
 1986 05 1310·
 1986 06 212·
 1986 07 4216·
 1986 08 6019.
 1986 09 4110·
 1986 10 837.
 1986 11 7411·
 1986 12 917·
 1987 01  299.
 1987 02  49
 1987 03  609·
 1987 04  175.
 1987 05  4613·
 1987 06  018·
 1987 07  3213.
 1987 08  9920·
 1987 09  869.
 1987 10  604.
 1987 11  4610.
 1987 12  264·
 1988 01 691.
 1988 03 8111·
 1988 04 838.
 1988 05 1011.
 1988 06 389.
 1988 07 3810.
 1988 08 5117.
 1988 09 904.
 1988 10 637·
 1988 11 325·
 1988 12 826.
 1989 01  286·
 1989 02  385·
 1989 03  8611·
 1989 04  312.
 1989 05  121·
 1989 06  8113.
 1989 07  534.
 1989 08  8012.
 1989 09  556.
 1989 10  387·
 1989 11  85·
 1989 12  3710·
 1990 01 962.
 1990 02 777·
 1990 03 503·
 1990 04 323·
 1990 05 96
 1990 06 935·
 1990 07 513.
 1990 08 2315·
 1990 09 442.
 1990 10 4
 1990 11 248.
 1990 12 909.
 1991 01  534·
 1991 02  555.
 1991 03  823.
 1991 04  414.
 1991 05  607·
 1991 06  1413.
 1991 07  8016.
 1991 08  812.
 1991 09  297·
 1991 10  778.
 1991 11  427·
 1991 12  464.
 1992 01 471.
 1992 02 615.
 1992 03 196.
 1992 04 385.
 1992 05 277·
 1992 06 1213.
 1992 07 8710·
 1992 08 906·
 1992 09 810.
 1992 10 987·
 1992 11 469.
 1993 01  343·
 1993 02  515.
 1993 03  146·
 1993 04  213.
 1993 05  267.
 1993 06  466·
 1993 07  796·
 1993 08  6311·
 1993 09  494·
 1993 10  43·
 1993 11  36
 1993 12  471.
 1994 01 89.
 1994 02 647.
 1994 03 553.
 1994 04 736·
 1994 05 368.
 1994 06 888.
 1994 07 309.
 1994 08 688.
 1994 09 88
 1994 10 654.
 1994 11 813·
 1994 12 802.
 1995 01  485.
 1995 02  83.
 1995 03  517.
 1995 04  875.
 1995 05  208.
 1995 06  533.
 1995 07  99.
 1995 08  87
 1995 09  384·
 1995 10  654.
 1995 11  502.
 1995 12  75.
 1996 01 578·
 1996 02 313.
 1996 03 931.
 1996 04 971·
 1996 05 603·
 1996 06 634·
 1996 07 8111.
 1996 08 324·
 1996 09 522.
 1996 10 11·
 1996 11 852·
 1996 12 133·
 1997 01  665·
 1997 03  67.
 1997 04  988.
 1997 05  645·
 1997 06  583.
 1997 07  675.
 1997 08  405·
 1997 09  372.
 1997 10  9
 1997 11  963.
 1997 12  536·
 1998 01 73.
 1998 04 281·
 1998 05 321.
 1998 06 99.
 1998 07 74
 1998 08 442.
 1998 09 364·
 1998 10 02·
 1998 11 6412·
 1998 12 159·
 1999 01  996·
 1999 02  464.
 1999 05  273·
 1999 06  222·
 1999 07  31
 1999 08  922.
 1999 09  382·
 1999 10  732.
 1999 11  712·
 1999 12  51.
 2000 01 983·
 2000 02 986·
 2000 03 826·
 2000 04 81
 2000 05 326.
 2000 06 547·
 2000 07 513·
 2000 08 384.
 2000 09 905.
 2000 10 233·
 2000 11 933·
 2000 12 213.
 2001 01  493·
 2001 02  123.
 2001 03  436·
 2001 04  9811.
 2001 05  79.
 2001 06  523·
 2001 09  661·
 2001 10  651.
 2001 11  92
 2001 12  05·
 2002 01 505·
 2002 03 392·
 2002 04 52
 2002 05 379·
 2002 06 64·
 2002 07 662·
 2002 08 641.
 2002 09 70
 2003 01  744·
 2003 02  144·
 2003 03  284.
 2003 04  32
 2003 05  16
 2003 06  785·
 2003 07  70
 2003 08  771.
 2003 10  193·
 2003 11  763.
 2003 12  393.
 2004 02 895·
 2004 04 973.
 2004 05 52
 2004 06 11
 2004 07 731·
 2004 08 886·
 2004 09 777·
 2004 10 868.
 2004 11 625·
 2004 12 554·
 2005 01  440·
 2005 03  905.
 2005 04  114.
 2005 05  844.
 2005 06  728·
 2005 07  749.
 2005 08  40.
 2005 09  904.
 2005 10  58·
 2005 11  128·
 2005 12  454.
 2006 01 114.
 2006 02 135.
 2006 03 51.
 2006 04 673.
 2006 05 81·
 2006 06 8911·
 2006 07 78
 2006 08 274·
 2006 09 706·
 2006 10 53
 2006 11 835·
 2007 02  63.
 2007 03  107.
 2007 04  494.
 2007 05  931·
 2007 06  114.
 2007 07  6610.
 2007 08  450.
 2008 04 104·
 2008 05 741.
 2008 06 1
 2008 07 371·
 2008 08 594·
 2008 09 50
 2008 10 20.
 2009 01  444.
 2009 02  917.
 2009 03  228·
 2009 04  838.
 2009 05  85·
 2009 06  804.
 2009 07  97
 2009 08  80
 2009 09  10·
 2009 10  270·
 2009 11  51.
 2009 12  58
 2010 01 155·
 2010 02 583.
 2010 03 4
 2010 04 51·
 2010 05 691·
 2010 06 23
 2010 07 761.
 2010 08 322·
 2010 09 92.
 2010 10 972.
 2010 11 266.
 2010 12 785·
 2011 01  30.
 2011 02  800·
 2011 03  870.
 2011 04  50.
 2011 05  453·
 2011 06  998.
 2011 07  154·
 2011 08  312·
 2011 09  559·
 2011 10  34·
 2011 11  939·
 2011 12  830.
 2012 01 760·
 2012 02 694·
 2012 03 259.
 2012 04 839·
 2012 05 7810·
 2012 06 955·
 2012 07 4515.
 2012 08 677.
 2012 09 5512.
 2012 10 80.
 2012 11 82·
 2012 12 225.
 2013 01  2611·
 2013 02  585·
 2013 03  976·
 2013 04  61
 2013 05  340.
 2013 06  210.
 2013 07  180.
 2013 08  226.
 2013 09  505·
 2013 10  965.
 2013 11  31.
 2013 12  681·
 2014 01 68
 2014 02 102.
 2014 03 84·
 2014 04 870.
 2014 05 60.
 2014 06 122.
 2014 07 152·
 2014 08 914.
 2014 09 91.
 2014 10 782·
 2014 11 312·
 2014 12 193·
 2015 01  452.
 2015 02  92.
 2015 03  870·
 2015 04  34
 2015 05  100.
 2015 06  296.
 2015 07  393·
 2015 08  236.
 2015 09  214·
 2015 10  894.
 2015 11  713·
 2015 12  996·
 2016 01 247.
 2016 02 650·
 2016 03 87
 2016 04 01.
 2016 05 873.
 2016 06 573.
 2016 07 21
 2016 08 890.
 2016 09 53·
 2016 10 917·
 2016 11 2710.
 2016 12 54
 2017 01  963.
 2017 02  161·
 2017 03  89


 2017 04  80·
 2017 05  5
 2017 06  81·
 2017 07  134.
 2017 08  891·
 2017 09  210·
 2017 10  6814.
 2017 11  306·
 2017 12  596.
 2018 01 790.
 2018 02 201.
 2018 03 972·
 2018 04 72.
 2018 05 562·
 2018 06 16
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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

Want state and city building permits data? Click here for California and then find your own.

Sites of Interest: GGG Marketing SEO Experts * homes for sale - pelican marsh * Invokana Attorneys * The Wall Street Examiner: Be prepared. Stay ahead of the herd

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap