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, 65 years and over, 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 06 204.
 1976 07 746.
 1976 08 775.
 1976 09 14.
 1976 10 417.
 1976 11 964.
 1976 12 645.
 1977 01  76
 1977 02  4210.
 1977 03  2916·
 1977 04  656·
 1977 05  639·
 1977 06  7110·
 1977 07  558·
 1977 08  926·
 1977 09  48·
 1977 10  54.
 1977 11  804·
 1977 12  842.
 1978 01 713.
 1978 02 453.
 1978 03 3615.
 1978 04 29.
 1978 05 5514·
 1978 06 1413.
 1978 07 797.
 1978 08 35
 1978 09 78
 1978 10 657·
 1978 11 924·
 1978 12 972·
 1979 01  823·
 1979 03  716.
 1979 04  80
 1979 05  2410.
 1979 06  384.
 1979 07  343·
 1979 08  764.
 1979 09  798·
 1979 10  385.
 1979 11  803.
 1979 12  364.
 1980 01 514.
 1980 02 37·
 1980 03 576·
 1980 04 424·
 1980 05 534.
 1980 06 765.
 1980 07 423·
 1980 08 0
 1980 09 221.
 1980 10 276.
 1980 11 365.
 1980 12 428·
 1981 01  219.
 1981 02  503·
 1981 03  627.
 1981 04  254.
 1981 05  38
 1981 06  638.
 1981 07  733·
 1981 08  301.
 1981 09  874.
 1981 10  123.
 1981 11  432.
 1981 12  642.
 1982 01 44·
 1982 02 645·
 1982 03 7317·
 1982 04 5912.
 1982 05 535.
 1982 06 152·
 1982 07 882.
 1982 08 711·
 1982 09 214·
 1982 10 831.
 1982 11 381·
 1982 12 811·
 1983 01  222·
 1983 02  133·
 1983 03  0
 1983 04  984·
 1983 05  946·
 1983 06  744.
 1983 07  729·
 1983 08  514·
 1983 09  993.
 1983 10  59
 1983 11  812·
 1983 12  984·
 1984 02 252·
 1984 03 886.
 1984 04 782.
 1984 05 204.
 1984 06 856.
 1984 07 6
 1984 08 366·
 1984 09 256·
 1984 10 173.
 1984 11 807·
 1984 12 588·
 1985 01  438.
 1985 02  843·
 1985 03  63·
 1985 04  671.
 1985 05  325·
 1985 06  74
 1985 07  37.
 1985 08  164·
 1985 09  733.
 1985 10  991.
 1985 11  143·
 1985 12  782.
 1986 01 723.
 1986 02 994.
 1986 04 95.
 1986 05 551.
 1986 06 613·
 1986 07 343.
 1986 08 82
 1986 09 718.
 1986 10 987.
 1986 11 947.
 1986 12 537.
 1987 01  785.
 1987 02  639.
 1987 03  91
 1987 04  6410·
 1987 05  506·
 1987 06  633·
 1987 07  639.
 1987 08  86
 1987 09  888.
 1987 10  304.
 1987 11  741.
 1987 12  122·
 1988 01 174·
 1988 02 20
 1988 03 102.
 1988 04 6215.
 1988 05 8820·
 1988 06 16
 1988 07 855.
 1988 08 805.
 1988 09 772.
 1988 10 233.
 1988 11 374·
 1989 01  345·
 1989 02  836·
 1989 03  7410.
 1989 04  2810·
 1989 05  204.
 1989 06  3110·
 1989 07  247.
 1989 08  475.
 1989 09  567.
 1989 10  735·
 1989 11  575·
 1989 12  64.
 1990 01 8710·
 1990 02 843.
 1990 03 779.
 1990 04 436·
 1990 05 819·
 1990 06 649.
 1990 07 1812.
 1990 08 225.
 1990 09 323·
 1990 10 386·
 1990 11 3512·
 1990 12 295·
 1991 01  6013.
 1991 02  577·
 1991 03  114.
 1991 04  793·
 1991 05  105.
 1991 06  96
 1991 08  514.
 1991 09  89·
 1991 10  49
 1991 11  5613.
 1991 12  887·
 1992 01 808.
 1992 02 736.
 1992 03 627.
 1992 04 788·
 1992 05 838·
 1992 06 999.
 1992 07 655.
 1992 08 310.
 1992 09 298·
 1992 10 742·
 1992 11 397.
 1992 12 694·
 1993 01  565·
 1993 02  655.
 1993 03  854·
 1993 04  811.
 1993 05  2810.
 1993 06  676·
 1993 07  299.
 1993 08  7714·
 1993 09  3215·
 1993 10  987·
 1993 11  219·
 1993 12  5811.
 1994 01 818.
 1994 02 43.
 1994 03 374.
 1994 04 563.
 1994 05 123·
 1994 06 533·
 1994 07 762.
 1994 08 44.
 1994 09 904·
 1994 10 393.
 1994 11 645.
 1994 12 594·
 1995 01  22.
 1995 02  823.
 1995 03  523.
 1995 04  1
 1995 05  606·
 1995 06  262.
 1995 07  154.
 1995 08  385.
 1995 09  2
 1995 10  393.
 1995 11  532.
 1995 12  12.
 1996 01 922.
 1996 02 162.
 1996 03 911·
 1996 04 460·
 1996 05 172·
 1996 07 764.
 1996 08 81
 1996 09 572·
 1996 10 912.
 1996 11 631·
 1996 12 981·
 1997 01  380.
 1997 02  501.
 1997 03  474.
 1997 04  414.
 1997 05  236.
 1997 06  5910·
 1997 07  211·
 1997 08  362.
 1997 09  661·
 1997 10  42·
 1997 11  44.
 1998 01 351.
 1998 02 513·
 1998 03 993.
 1998 04 427.
 1998 05 113·
 1998 06 831·
 1998 07 814·
 1998 08 22.
 1998 09 662.
 1998 11 956·
 1998 12 15
 1999 01  793.
 1999 02  246·
 1999 03  435·
 1999 04  866.
 1999 05  934.
 1999 06  374·
 1999 07  89.
 1999 08  97·
 1999 09  864·
 1999 10  794.
 1999 11  975.
 1999 12  213·
 2000 01 303.
 2000 02 523.
 2000 03 435.
 2000 04 856.
 2000 05 167·
 2000 06 806·
 2000 07 15·
 2000 08 891·
 2000 09 661.
 2000 11 130.
 2000 12 530·
 2001 01  466·
 2001 02  2214.
 2001 03  28
 2001 04  6
 2001 05  9420.
 2001 06  5515.
 2001 07  245.
 2001 08  914.
 2001 09  953·
 2001 10  576.
 2002 01 283.
 2002 02 655.
 2002 03 385·
 2002 04 4910.
 2002 05 887·
 2002 06 114.
 2002 07 354·
 2002 08 742.
 2002 10 82
 2002 11 330.
 2003 07  257·
 2003 08  2
 2003 09  83.
 2003 10  651.
 2003 12  705.
 2004 01 27
 2004 02 935·
 2004 04 621·
 2004 05 581·
 2004 06 671.
 2004 09 871.
 2004 11 710·
 2004 12 26.
 2005 01  679.
 2005 02  669.
 2005 03  53.
 2005 04  407.
 2005 05  974.
 2005 06  293.
 2005 07  896.
 2005 08  343.
 2005 09  50
 2005 10  28.
 2005 11  159·
 2005 12  73
 2006 01 459.
 2006 02 351.
 2006 03 663·
 2006 05 703.
 2006 06 263·
 2006 08 53.
 2006 09 465.
 2006 10 625·
 2006 11 645.
 2006 12 117·
 2007 01  893·
 2007 02  135·
 2007 03  51
 2007 04  782.
 2007 05  511·
 2007 06  107·
 2007 07  78·
 2007 08  574.
 2007 09  124·
 2007 10  667.
 2007 11  771.
 2007 12  241·
 2008 01 825.
 2008 02 195·
 2008 03 284·
 2008 04 79
 2008 05 893·
 2008 06 315.
 2008 07 560.
 2008 10 474.
 2008 11 923.
 2009 02  925·
 2009 03  802·
 2009 04  78
 2009 05  722.
 2009 06  132.
 2009 07  432.
 2009 08  494.
 2009 09  364.
 2009 10  334·
 2009 11  153.
 2009 12  593.
 2010 01 153·
 2010 02 146·
 2010 03 906.
 2010 04 332.
 2010 05 660.
 2010 06 455·
 2010 07 874·
 2010 08 230.
 2010 09 700.
 2010 10 383·
 2010 11 513.
 2010 12 32.
 2011 01  351.
 2011 02  314.
 2011 03  494·
 2011 04  750.
 2011 05  913.
 2011 06  873·
 2011 07  783.
 2011 08  623.
 2011 09  960·
 2011 10  941.
 2011 11  550·
 2011 12  179.
 2012 01 316.
 2012 02 643.
 2012 03 2410.
 2012 04 139.
 2012 05 37.
 2012 06 378.
 2012 07 562·
 2012 08 524.
 2012 09 43
 2012 10 742.
 2012 11 442.
 2012 12 593·
 2013 01  83.
 2013 02  638.
 2013 03  76.
 2013 04  844.
 2013 05  80
 2013 06  185.
 2013 07  890·
 2013 08  33·
 2013 09  651·
 2013 10  760.
 2013 11  600·
 2013 12  161·
 2014 01 9512.
 2014 02 014·
 2014 03 138·
 2014 04 4912.
 2014 05 271.
 2014 06 781.
 2014 07 696.
 2014 08 516.
 2014 09 427.
 2014 10 243·
 2014 11 700.
 2014 12 982·
 2015 01  479.
 2015 02  7410.
 2015 03  869.
 2015 04  925.
 2015 05  731.
 2015 06  911.
 2015 07  125.
 2015 08  564.
 2015 09  774·
 2015 10  647·
 2015 11  666.
 2015 12  414.
 2016 01 420·
 2016 02 64·
 2016 03 920·
 2016 04 24
 2016 05 720.
 2016 06 540·
 2016 07 607.
 2016 08 33.


 2016 09 19·
 2016 10 723.
 2016 11 643.
 2016 12 60.
 2017 01  85
 2017 02  463.
 2017 03  220.
 2017 04  810.
 2017 05  50.
 2017 06  910·
 2017 07  801·
 2017 08  40·
 2017 09  671.
 2017 10  440.
 2017 11  6
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, 65 years and over, 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

Know where the word economagic comes from?

Sites of Interest: GGG Marketing SEO Experts * homes for sale - pelican marsh * Parker Waichman - Personal Injury Attorney * 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