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: Nonagriculture, Unpaid Family Workers, 18-19 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 2311.
 1976 07 7615·
 1976 08 9011.
 1976 09 67·
 1976 10 8810.
 1976 11 23.
 1976 12 186.
 1977 01  321.
 1977 02  255.
 1977 03  347·
 1977 04  5218.
 1977 05  6412·
 1977 06  8616.
 1977 07  5114.
 1977 08  79·
 1977 09  443·
 1977 10  444·
 1977 11  62
 1977 12  204.
 1978 01 4313.
 1978 02 29·
 1978 03 9713.
 1978 04 546.
 1978 05 546·
 1978 06 848·
 1978 07 137.
 1978 08 967.
 1978 09 964.
 1978 11 403·
 1978 12 92
 1979 01  607.
 1979 02  14
 1979 03  468·
 1979 04  417.
 1979 05  8310.
 1979 06  776.
 1979 07  212.
 1979 08  9211.
 1979 09  296.
 1979 10  78
 1979 11  34
 1979 12  99
 1980 01 8512.
 1980 02 386·
 1980 03 93
 1980 04 4710·
 1980 05 6418·
 1980 06 015.
 1980 07 5215·
 1980 08 4016.
 1980 09 521.
 1980 10 3318·
 1980 11 149·
 1980 12 1213·
 1981 01  6919.
 1981 02  328·
 1981 03  39·
 1981 04  183·
 1981 05  455.
 1981 06  15
 1981 07  696.
 1981 08  393·
 1981 09  46
 1981 10  275.
 1981 11  894.
 1981 12  846.
 1982 01 95.
 1982 02 3714.
 1982 03 6210.
 1982 04 8312.
 1982 05 9812·
 1982 06 395.
 1982 07 148.
 1982 08 928·
 1982 09 16·
 1982 10 5213·
 1982 11 956.
 1982 12 959·
 1983 01  2912·
 1983 02  2012·
 1983 03  818·
 1983 05  965.
 1983 06  227·
 1983 08  137·
 1983 09  729.
 1983 10  298.
 1983 11  4222·
 1983 12  2420·
 1984 01 9311.
 1984 02 4915·
 1984 03 7711·
 1984 04 7311.
 1984 05 9513·
 1984 06 3812.
 1984 07 4017.
 1984 08 410·
 1984 09 5314.
 1984 10 38·
 1984 11 69
 1984 12 868·
 1985 01  686.
 1985 02  7614.
 1985 03  2613·
 1985 04  138·
 1985 05  64
 1985 06  125·
 1985 07  06·
 1985 08  53.
 1985 10  931.
 1985 11  955·
 1985 12  32·
 1986 01 54·
 1986 03 301·
 1986 04 295·
 1986 05 732.
 1986 07 829.
 1986 08 7513.
 1986 09 485·
 1986 10 744·
 1986 11 317.
 1986 12 545.
 1987 01  73.
 1987 02  935.
 1987 03  713.
 1987 04  164.
 1987 05  893·
 1987 06  435.
 1987 07  465·
 1987 08  385·
 1987 09  09.
 1987 10  618.
 1987 11  253.
 1987 12  193·
 1988 01 713.
 1988 02 125·
 1988 03 32.
 1988 04 856.
 1988 05 591·
 1988 06 8216·
 1988 07 983·
 1988 08 8710.
 1988 09 468.
 1988 10 841·
 1988 11 54
 1988 12 01.
 1989 01  394.
 1989 02  577.
 1989 03  413·
 1989 04  246.
 1989 05  695·
 1989 06  641·
 1989 07  53
 1989 08  859.
 1989 09  931.
 1989 10  921·
 1989 12  91.
 1990 01 332·
 1990 02 926.
 1990 03 536·
 1990 04 534·
 1990 05 438·
 1990 06 735·
 1990 07 8710·
 1990 08 546·
 1990 09 166·
 1990 10 682.
 1990 11 565·
 1990 12 64.
 1991 01  774.
 1991 02  332·
 1991 03  475.
 1991 04  301.
 1991 05  771.
 1991 06  503.
 1991 07  744·
 1991 08  677.
 1991 09  916.
 1991 10  261.
 1991 11  753.
 1992 01 897·
 1992 03 196·
 1992 04 927.
 1992 05 128·
 1992 06 89
 1992 07 874.
 1992 08 510.
 1992 09 735·
 1992 11 852.
 1992 12 452.
 1993 01  4614·
 1993 02  7217·
 1993 03  23
 1993 04  698.
 1993 05  237.
 1993 06  463·
 1993 07  7213.
 1993 08  596.
 1993 09  675·
 1993 10  581.
 1993 11  259·
 1993 12  40
 1994 01 342·
 1994 02 960.
 1994 03 14·
 1994 04 627.
 1994 06 65.
 1994 07 729·
 1994 08 4511·
 1994 09 24.
 1994 10 893·
 1994 11 253·
 1994 12 273.
 1995 01  605·
 1995 02  173.
 1995 03  182.
 1995 04  391·
 1995 05  602.
 1995 06  440.
 1995 07  391·
 1995 08  20.
 1995 09  546·
 1995 10  532·
 1995 11  992.
 1996 01 592.
 1996 02 165.
 1996 03 501.
 1996 04 385.
 1996 05 794·
 1996 06 4711.
 1996 07 672.
 1996 08 181·
 1996 09 570.
 1996 10 73
 1996 11 610.
 1996 12 275·
 1997 02  125.
 1997 03  447.
 1997 04  136·
 1997 05  784·
 1997 06  881·
 1997 07  346.
 1997 08  3015·
 1997 10  95.
 1997 11  543.
 1997 12  460·
 1998 02 444.
 1998 03 839·
 1998 04 44.
 1998 05 35·
 1998 06 104.
 1998 07 874·
 1998 10 572·
 1999 01  575.
 1999 02  12
 1999 03  351.
 1999 04  581·
 1999 06  832.
 1999 07  547·
 1999 08  645.
 1999 09  769.
 1999 10  814.
 1999 11  703.
 1999 12  374.
 2000 06 410.
 2000 07 776.
 2000 08 166·
 2000 09 425.
 2000 10 635·
 2000 11 20
 2000 12 737.
 2001 01  9311·
 2001 02  95
 2001 03  8710.
 2001 04  483.
 2001 06  268·
 2001 07  705·
 2001 08  782·
 2001 09  723·
 2001 11  53.
 2001 12  833.
 2002 02 181.
 2002 03 31.
 2002 04 185·
 2002 05 532.
 2002 10 574·
 2002 11 225.
 2002 12 78
 2003 02  231·
 2003 03  713·
 2003 04  353.
 2003 05  223.
 2003 06  62
 2003 08  611.
 2003 09  754·
 2003 11  141·
 2003 12  665.
 2004 01 514.
 2004 02 978.
 2004 03 401·
 2004 04 520·
 2004 05 932·
 2004 06 845·
 2004 07 150·
 2004 12 662·
 2005 01  613·
 2005 02  422.
 2005 03  763·
 2005 04  761·
 2005 05  561.
 2005 06  35·
 2005 10  863·
 2005 11  774.
 2005 12  3
 2006 01 233·
 2006 02 333.
 2006 06 87
 2006 07 522·
 2006 08 852·
 2006 09 302·
 2006 12 512·
 2007 01  808·
 2007 02  93
 2007 03  14
 2007 04  386.
 2007 05  860.
 2007 06  827.
 2007 07  498.
 2007 08  42
 2007 09  970.
 2007 10  62·
 2007 11  222.
 2007 12  821.
 2008 01 612.
 2008 02 485.
 2008 03 462·
 2008 04 27.
 2008 05 55
 2008 06 141.
 2008 08 605.
 2008 09 72
 2008 10 793·
 2008 11 363·
 2008 12 256.
 2009 02  854.
 2009 05  585.
 2009 06  704·
 2009 07  312·
 2009 08  615·
 2009 09  434.
 2009 10  992.
 2009 11  903·
 2009 12  441.
 2010 01 100.
 2010 02 280.
 2010 03 39
 2010 04 34·
 2010 05 582·
 2010 06 9013.
 2010 07 4211·
 2010 08 324.
 2010 09 13
 2010 10 412.
 2010 11 86
 2010 12 510.
 2011 01  254.
 2011 02  630.
 2011 03  850·
 2011 04  2
 2011 05  703·
 2011 06  625.
 2011 07  762·
 2011 08  571·
 2011 09  481.
 2011 10  701.
 2011 11  230·
 2011 12  83.
 2012 01 852·
 2012 02 445.
 2012 03 124.
 2012 04 7510.
 2012 05 303·
 2012 06 655·
 2012 07 58
 2012 08 2
 2012 09 6010·
 2012 10 400.
 2012 11 973.
 2012 12 58
 2013 01  753.
 2013 02  10·
 2013 03  930·
 2013 04  370.
 2013 05  990.
 2013 06  44.
 2013 07  34
 2013 08  593·
 2013 09  840.
 2013 10  310.
 2013 11  328.
 2013 12  6711·
 2014 01 516·
 2014 02 8819.
 2014 03 2612.
 2014 04 31
 2014 05 634.
 2014 06 70.
 2014 07 785·
 2014 08 45
 2014 09 820·
 2014 10 450·
 2014 11 77
 2014 12 280.
 2015 01  130·
 2015 02  840·
 2015 03  340.
 2015 04  243.
 2015 05  31
 2015 06  291·
 2015 07  893·
 2015 08  24.
 2015 09  370·
 2015 10  14
 2015 11  34·
 2015 12  56
 2016 01 57
 2016 02 931·
 2016 03 651.
 2016 04 72·
 2016 05 405.
 2016 06 503·
 2016 07 880.
 2016 08 963·
 2016 09 620·
 2016 10 904.
 2016 11 94.
 2016 12 95


 2017 01  238.
 2017 02  465.
 2017 03  923.
 2017 04  973.
 2017 05  490.
 2017 06  730·
 2017 07  24
 2017 08  204·
 2017 09  910·
 2017 10  540·
 2017 11  190.
 2017 12  103.
 2018 01 236.
 2018 02 954·
 2018 03 13
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: Nonagriculture, Unpaid Family Workers, 18-19 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

Click here to find out what subscriber services Economagic offers.

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