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: 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 5750.
 1976 07 8147·
 1976 08 1039·
 1976 09 5732·
 1976 10 6224·
 1976 11 6721.
 1976 12 1519·
 1977 01  7919·
 1977 02  1519·
 1977 03  3216·
 1977 04  222·
 1977 05  8237·
 1977 06  6558·
 1977 07  5833·
 1977 08  8538·
 1977 09  925·
 1977 10  8910.
 1977 11  5322·
 1977 12  020.
 1978 01 2921·
 1978 02 8711·
 1978 03 4716.
 1978 04 1222·
 1978 05 3731.
 1978 06 8454·
 1978 07 9854.
 1978 08 738.
 1978 09 5027·
 1978 10 3025.
 1978 11 8620.
 1978 12 9821.
 1979 01  1523.
 1979 02  116·
 1979 03  1922.
 1979 04  2427.
 1979 05  9944·
 1979 06  9848.
 1979 07  2852·
 1979 08  4847.
 1979 09  9723·
 1979 10  4527·
 1979 11  7033·
 1979 12  5724.
 1980 01 2821.
 1980 02 9421.
 1980 03 2625.
 1980 04 6427.
 1980 05 3731.
 1980 06 1941·
 1980 07 439.
 1980 08 735.
 1980 09 9128.
 1980 10 2136.
 1980 11 3430.
 1980 12 4919.
 1981 01  8718.
 1981 02  2526·
 1981 03  7422·
 1981 04  7830.
 1981 05  4127·
 1981 06  8237.
 1981 07  534·
 1981 08  638.
 1981 09  027·
 1981 10  6732·
 1981 11  3325.
 1981 12  7325.
 1982 01 3132.
 1982 02 8033·
 1982 03 9127·
 1982 04 3922·
 1982 05 2922.
 1982 06 4734·
 1982 07 3545.
 1982 08 9437.
 1982 09 1446.
 1982 10 1827·
 1982 11 4620·
 1982 12 5124.
 1983 01  2922·
 1983 02  6915·
 1983 03  3228.
 1983 04  4632.
 1983 05  4334.
 1983 06  045.
 1983 07  2351·
 1983 08  4436.
 1983 09  5128.
 1983 10  3730.
 1983 11  7720.
 1983 12  3226·
 1984 01 7223·
 1984 02 2913.
 1984 03 7511·
 1984 04 2213.
 1984 05 4928.
 1984 06 5235.
 1984 07 2443·
 1984 08 5431·
 1984 09 5320·
 1984 10 710.
 1984 11 5615.
 1984 12 8915.
 1985 01  7615·
 1985 02  1920·
 1985 03  2623.
 1985 04  1522·
 1985 05  3922.
 1985 06  3833.
 1985 07  1828.
 1985 08  4631·
 1985 09  8525.
 1985 10  4019.
 1985 11  3615·
 1985 12  1913·
 1986 01 848·
 1986 02 268.
 1986 03 147.
 1986 04 9815·
 1986 05 3014·
 1986 06 1916·
 1986 07 722·
 1986 08 6927.
 1986 09 4115·
 1986 10 7217·
 1986 11 9818·
 1986 12 479.
 1987 01  6313·
 1987 02  599.
 1987 03  9212·
 1987 04  686.
 1987 05  6316.
 1987 06  8020·
 1987 07  2315·
 1987 08  9626·
 1987 09  3710·
 1987 10  625.
 1987 11  4512.
 1987 12  196.
 1988 01 43·
 1988 02 544·
 1988 03 4113.
 1988 04 5015.
 1988 05 613.
 1988 06 3213.
 1988 07 1813·
 1988 08 2519·
 1988 09 159·
 1988 10 9711.
 1988 11 77.
 1988 12 1010·
 1989 01  2310.
 1989 02  7310.
 1989 03  6416·
 1989 04  908.
 1989 05  513·
 1989 06  1119.
 1989 07  7311.
 1989 08  7919·
 1989 09  418·
 1989 10  8612·
 1989 11  389·
 1989 12  1615.
 1990 01 645·
 1990 02 9911·
 1990 03 913·
 1990 04 623.
 1990 05 137·
 1990 06 767.
 1990 07 9114.
 1990 08 615·
 1990 09 82.
 1990 10 6611.
 1990 11 177.
 1990 12 618·
 1991 01  92
 1991 02  458·
 1991 03  77
 1991 04  65
 1991 05  358.
 1991 06  1315.
 1991 07  216·
 1991 08  7913.
 1991 09  3110.
 1991 10  97
 1991 11  498·
 1991 12  943.
 1992 01 993.
 1992 02 458.
 1992 03 998.
 1992 04 20
 1992 05 847·
 1992 06 3416.
 1992 07 6010·
 1992 08 9714·
 1992 09 5414.
 1992 10 6410·
 1992 11 6220·
 1992 12 862.
 1993 01  37.
 1993 02  608·
 1993 03  6310.
 1993 04  777·
 1993 05  5113·
 1993 06  7313·
 1993 07  4411·
 1993 08  8118·
 1993 09  424.
 1993 10  783.
 1993 11  125·
 1993 12  37
 1994 01 4515.
 1994 02 769.
 1994 03 983.
 1994 04 86.
 1994 05 5311·
 1994 06 919·
 1994 07 609.
 1994 08 8113·
 1994 09 878·
 1994 10 754·
 1994 11 787.
 1994 12 69
 1995 01  916.
 1995 02  33·
 1995 03  597·
 1995 04  11
 1995 05  338.
 1995 06  743·
 1995 07  359.
 1995 08  6911·
 1995 09  74·
 1995 10  154.
 1995 11  633·
 1995 12  305.
 1996 01 34
 1996 02 766·
 1996 03 247·
 1996 04 94.
 1996 05 562·
 1996 06 324.
 1996 07 2515·
 1996 08 438·
 1996 09 4411.
 1996 10 84
 1996 11 97
 1996 12 948.
 1997 01  906.
 1997 03  577·
 1997 04  9810.
 1997 05  515.
 1997 06  153.
 1997 07  16·
 1997 08  86.
 1997 09  267.
 1997 10  6211·
 1997 11  924.
 1997 12  356.
 1998 01 583·
 1998 04 21·
 1998 05 305·
 1998 06 109.
 1998 07 98·
 1998 08 26
 1998 09 415.
 1998 10 895·
 1998 11 6716·
 1998 12 569.
 1999 01  756·
 1999 02  554.
 1999 03  452·
 1999 04  352·
 1999 05  73·
 1999 06  142.
 1999 07  826.
 1999 08  325.
 1999 09  38
 1999 10  984·
 1999 11  398.
 1999 12  414.
 2000 01 939.
 2000 02 6312·
 2000 03 47.
 2000 04 826.
 2000 05 226·
 2000 06 907·
 2000 07 923.
 2000 08 994.
 2000 09 25.
 2000 10 883.
 2000 11 386·
 2000 12 606.
 2001 01  326.
 2001 02  86
 2001 03  86·
 2001 04  6014·
 2001 05  3712·
 2001 06  437.
 2001 09  871·
 2001 10  182.
 2001 11  693.
 2001 12  397.
 2002 01 9012.
 2002 03 782·
 2002 04 2
 2002 05 8110.
 2002 06 544·
 2002 07 102·
 2002 08 371.
 2002 09 0
 2002 10 41
 2003 01  74.
 2003 02  04·
 2003 03  555·
 2003 04  41
 2003 05  89
 2003 06  408.
 2003 07  256.
 2003 08  651·
 2003 09  990.
 2003 10  333·
 2003 11  18
 2003 12  523.
 2004 02 75.
 2004 04 793·
 2004 05 656.
 2004 06 65
 2004 07 81.
 2004 08 5
 2004 09 2310·
 2004 10 908.
 2004 11 195·
 2004 12 597.
 2005 01  740·
 2005 03  43
 2005 04  864.
 2005 05  184.
 2005 06  2410.
 2005 07  5912.
 2005 08  772·
 2005 09  834.
 2005 10  58·
 2005 11  28.
 2005 12  87
 2006 01 774·
 2006 02 7311.
 2006 03 614.
 2006 04 35
 2006 05 533.
 2006 06 1111·
 2006 07 477·
 2006 08 644.
 2006 09 846.
 2006 10 252.
 2006 11 998.
 2007 02  443·
 2007 03  727·
 2007 04  456.
 2007 05  804·
 2007 06  707.
 2007 07  4210·
 2007 08  301.
 2007 11  772·
 2008 04 604·
 2008 05 451·
 2008 06 6111·
 2008 07 31.
 2008 08 58
 2008 09 554·
 2008 10 440.
 2009 01  974·
 2009 02  347·
 2009 03  7312.
 2009 04  119.
 2009 05  225·
 2009 06  827.
 2009 07  25
 2009 08  195.
 2009 09  640.
 2009 10  200·
 2009 11  611.
 2009 12  493·
 2010 01 375.
 2010 02 93
 2010 03 562.
 2010 04 8
 2010 05 79
 2010 06 7110·
 2010 07 1111·
 2010 08 286·
 2010 09 53
 2010 10 475.
 2010 11 519·
 2010 12 655·
 2011 01  463.
 2011 02  401.
 2011 03  261.
 2011 04  00.
 2011 05  73
 2011 06  9512·
 2011 07  134·
 2011 08  4215.
 2011 09  6912·
 2011 10  807.
 2011 11  1012.
 2011 12  200·
 2012 01 990.
 2012 02 916.
 2012 03 4412.
 2012 04 92
 2012 05 5012.
 2012 06 455·
 2012 07 6516.
 2012 08 40
 2012 09 3512·
 2012 10 871.
 2012 11 493.
 2012 12 695.
 2013 01  9211.
 2013 02  876.
 2013 03  96
 2013 04  123.
 2013 05  840·
 2013 06  385·
 2013 07  304·
 2013 08  266·
 2013 09  995.
 2013 10  605·
 2013 11  41.
 2013 12  921.
 2014 01 500·
 2014 02 962.
 2014 03 914.
 2014 04 16
 2014 05 742.
 2014 06 162.
 2014 07 922·
 2014 08 30
 2014 09 352·
 2014 10 142·
 2014 11 34
 2014 12 923.
 2015 01  192·
 2015 02  92.
 2015 03  650·
 2015 04  820·
 2015 05  422·
 2015 06  4612.
 2015 07  639·
 2015 08  710.
 2015 09  398.
 2015 10  924.
 2015 11  263·
 2015 12  997.
 2016 01 74
 2016 02 440·
 2016 03 807.
 2016 04 141·
 2016 05 35
 2016 06 193.
 2016 07 762·
 2016 08 350·
 2016 09 353.
 2016 10 617·
 2016 11 9010.
 2016 12 67
 2017 01  123·
 2017 02  411.
 2017 03  201.
 2017 04  430.
 2017 05  284.


 2017 06  522.
 2017 07  946.
 2017 08  181.
 2017 09  7214.
 2017 10  1314.
 2017 11  616.
 2017 12  767.
 2018 01 561.
 2018 02 682.
 2018 03 973.
 2018 04 22
 2018 05 192·
 2018 06 870.
 2018 07 210.
 2018 08 87
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: 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

Make charts for Okun's Law and Phillip's Curve

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