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 5311.
 1976 07 1615.
 1976 08 5711.
 1976 09 28
 1976 10 710·
 1976 11 723·
 1976 12 56·
 1977 01  161.
 1977 02  965.
 1977 03  967.
 1977 04  2318·
 1977 05  7112·
 1977 06  7116.
 1977 07  6814.
 1977 08  239.
 1977 09  373.
 1977 10  64.
 1977 11  963·
 1977 12  444.
 1978 01 8413·
 1978 02 39.
 1978 03 1113·
 1978 04 486·
 1978 05 76.
 1978 06 878.
 1978 07 707.
 1978 08 237.
 1978 09 234.
 1978 11 73.
 1978 12 548·
 1979 01  837.
 1979 02  778.
 1979 03  408.
 1979 04  717·
 1979 05  6410·
 1979 06  386.
 1979 07  8612.
 1979 08  5111·
 1979 09  306·
 1979 10  13·
 1979 11  695.
 1979 12  517.
 1980 01 6912·
 1980 02 846·
 1980 03 42
 1980 04 5310.
 1980 05 9418.
 1980 06 3215.
 1980 07 7815.
 1980 08 6416.
 1980 09 4221.
 1980 10 1418·
 1980 11 799.
 1980 12 1513.
 1981 01  7719·
 1981 02  248.
 1981 03  709.
 1981 04  643.
 1981 05  865.
 1981 06  814.
 1981 07  16·
 1981 08  903.
 1981 09  834.
 1981 10  295.
 1981 11  474.
 1981 12  26.
 1982 01 45·
 1982 02 3714·
 1982 03 910·
 1982 04 3112·
 1982 05 1412.
 1982 06 05·
 1982 07 138·
 1982 08 338.
 1982 09 996.
 1982 10 3713.
 1982 11 9
 1982 12 909.
 1983 01  7312.
 1983 02  9112·
 1983 03  718.
 1983 05  95·
 1983 06  747·
 1983 08  337·
 1983 09  19·
 1983 10  228.
 1983 11  6522.
 1983 12  5520·
 1984 01 2411.
 1984 02 8415·
 1984 03 3311.
 1984 04 7811.
 1984 05 9013·
 1984 06 7812.
 1984 07 9117·
 1984 08 4510·
 1984 09 7514·
 1984 10 118·
 1984 11 788.
 1984 12 268.
 1985 01  796.
 1985 02  1314.
 1985 03  5513·
 1985 04  148·
 1985 05  283·
 1985 06  42
 1985 07  126.
 1985 08  29
 1985 10  711.
 1985 11  795·
 1985 12  612·
 1986 01 154·
 1986 03 841·
 1986 04 315·
 1986 05 392.
 1986 07 419.
 1986 08 6913·
 1986 09 305.
 1986 10 114·
 1986 11 17.
 1986 12 495·
 1987 01  313·
 1987 02  625.
 1987 03  153·
 1987 04  754.
 1987 05  183.
 1987 06  85.
 1987 07  265.
 1987 08  245.
 1987 09  969.
 1987 10  848·
 1987 11  43·
 1987 12  943.
 1988 01 973.
 1988 02 555.
 1988 03 422·
 1988 04 136.
 1988 05 781·
 1988 06 816·
 1988 07 613.
 1988 08 2910·
 1988 09 208.
 1988 10 561·
 1988 11 35.
 1988 12 181.
 1989 01  304.
 1989 02  387.
 1989 03  393.
 1989 04  826.
 1989 05  405.
 1989 06  141.
 1989 07  622·
 1989 08  449.
 1989 09  61.
 1989 10  751·
 1989 12  911·
 1990 01 56
 1990 02 106·
 1990 03 326.
 1990 04 72
 1990 05 938·
 1990 06 585·
 1990 07 2410.
 1990 08 71
 1990 09 566.
 1990 10 832·
 1990 11 135.
 1990 12 854·
 1991 01  694.
 1991 02  412.
 1991 03  885·
 1991 04  321.
 1991 05  831·
 1991 06  133·
 1991 07  604.
 1991 08  567·
 1991 09  736.
 1991 10  61.
 1991 11  693.
 1992 01 267.
 1992 03 416.
 1992 04 527.
 1992 05 778.
 1992 06 372.
 1992 07 104·
 1992 08 710.
 1992 09 71
 1992 11 72.
 1992 12 33
 1993 01  5314.
 1993 02  6517.
 1993 03  814·
 1993 04  838.
 1993 05  987.
 1993 06  973.
 1993 07  2813.
 1993 08  626.
 1993 09  715·
 1993 10  301.
 1993 11  429.
 1993 12  951·
 1994 01 30
 1994 02 500·
 1994 03 434·
 1994 04 327.
 1994 06 575·
 1994 07 729.
 1994 08 7311·
 1994 09 494.
 1994 10 593.
 1994 11 343.
 1994 12 33.
 1995 01  455·
 1995 02  663.
 1995 03  972.
 1995 04  261·
 1995 05  472.
 1995 06  350·
 1995 07  501·
 1995 08  630.
 1995 09  56.
 1995 10  492·
 1995 11  6
 1996 01 562.
 1996 02 945·
 1996 03 141·
 1996 04 35.
 1996 05 75
 1996 06 1511·
 1996 07 612·
 1996 08 41.
 1996 09 140.
 1996 10 920.
 1996 11 470.
 1996 12 965·
 1997 02  93
 1997 03  777.
 1997 04  546·
 1997 05  934.
 1997 06  55
 1997 07  456·
 1997 08  8815.
 1997 10  315·
 1997 11  693.
 1997 12  960.
 1998 02 824·
 1998 03 769.
 1998 04 304.
 1998 05 555.
 1998 06 914.
 1998 07 134.
 1998 10 572·
 1999 01  735·
 1999 02  971·
 1999 03  56
 1999 04  951·
 1999 06  262.
 1999 07  77.
 1999 08  43
 1999 09  11
 1999 10  134.
 1999 11  533·
 1999 12  374.
 2000 06 010.
 2000 07 606·
 2000 08 916.
 2000 09 255·
 2000 10 825.
 2000 11 189.
 2000 12 37·
 2001 01  2111.
 2001 02  17.
 2001 03  6210.
 2001 04  953.
 2001 06  638·
 2001 07  255.
 2001 08  922.
 2001 09  993·
 2001 11  123.
 2001 12  493.
 2002 02 331·
 2002 03 731·
 2002 04 585·
 2002 05 922·
 2002 10 374·
 2002 11 965·
 2002 12 131·
 2003 02  981.
 2003 03  783·
 2003 04  773·
 2003 05  163.
 2003 06  362.
 2003 08  571·
 2003 09  474·
 2003 11  281.
 2003 12  15·
 2004 01 994.
 2004 02 618·
 2004 03 371.
 2004 04 110·
 2004 05 552·
 2004 06 35·
 2004 07 580.
 2004 12 112.
 2005 01  993.
 2005 02  792·
 2005 03  273·
 2005 04  701.
 2005 05  331.
 2005 06  195·
 2005 10  73·
 2005 11  824.
 2005 12  823·
 2006 01 823.
 2006 02 873·
 2006 06 654.
 2006 07 962.
 2006 08 482·
 2006 09 792.
 2006 12 652.
 2007 01  518.
 2007 02  246·
 2007 03  216.
 2007 04  516.
 2007 05  460.
 2007 06  427·
 2007 07  778.
 2007 08  165.
 2007 09  8
 2007 10  592·
 2007 11  332.
 2007 12  801.
 2008 01 872.
 2008 02 565.
 2008 03 32·
 2008 04 867·
 2008 05 585·
 2008 06 391·
 2008 08 245·
 2008 09 43.
 2008 10 213.
 2008 11 413.
 2008 12 606.
 2009 02  294·
 2009 05  25·
 2009 06  184·
 2009 07  992·
 2009 08  795.
 2009 09  51
 2009 10  512.
 2009 11  533.
 2009 12  981.
 2010 01 440·
 2010 02 480.
 2010 03 600.
 2010 04 554.
 2010 05 822.
 2010 06 4013·
 2010 07 8411·
 2010 08 454.
 2010 09 881·
 2010 10 842·
 2010 11 112.
 2010 12 870.
 2011 01  154·
 2011 02  600·
 2011 03  560·
 2011 04  257·
 2011 05  37
 2011 06  775·
 2011 07  552.
 2011 08  281.
 2011 09  541.
 2011 10  651·
 2011 11  720·
 2011 12  913·
 2012 01 922·
 2012 02 815·
 2012 03 944.
 2012 04 3110.
 2012 05 23·
 2012 06 75.
 2012 07 354.
 2012 08 947.
 2012 09 5910.
 2012 10 490·
 2012 11 333.
 2012 12 490.
 2013 01  633.
 2013 02  400·
 2013 03  490·
 2013 04  890.
 2013 05  39
 2013 06  354·
 2013 07  73
 2013 08  353.
 2013 09  380.
 2013 10  17
 2013 11  178·
 2013 12  2911·
 2014 01 3616·
 2014 02 9119·
 2014 03 1912·
 2014 04 424·
 2014 05 334·
 2014 06 900.
 2014 07 415·
 2014 08 674·
 2014 09 530.
 2014 10 710.
 2014 11 730.
 2014 12 230.
 2015 01  490.
 2015 02  140.
 2015 03  260.
 2015 04  553·
 2015 05  940·
 2015 06  271·
 2015 07  383·
 2015 08  32
 2015 09  890.
 2015 10  41
 2015 11  73
 2015 12  480·
 2016 01 60
 2016 02 131·
 2016 03 181.
 2016 04 212.
 2016 05 585·
 2016 06 253·
 2016 07 860.
 2016 08 973.
 2016 09 570.


 2016 10 834·
 2016 11 164·
 2016 12 454·
 2017 01  578.
 2017 02  185·
 2017 03  693.
 2017 04  573.
 2017 05  850.
 2017 06  880.
 2017 07  341.
 2017 08  554.
 2017 09  910.
 2017 10  740·
 2017 11  240.
 2017 12  81
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

Professors, Teachers, Instructors: Get a free subscription to access data via Excel spreadsheet, and Copy & Paste formats.

Sites of Interest: GGG Marketing SEO Experts * homes for sale - pelican marsh * Invokana Attorneys * cheap wedding dresses - trusted supplier Weddingdresstrend.com * 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