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, 45-54 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 06 626.
 1976 07 2213·
 1976 08 322.
 1976 09 621·
 1976 10 9
 1976 12 701.
 1977 01  441.
 1977 02  623·
 1977 03  343·
 1977 04  281·
 1977 05  706.
 1977 06  745.
 1977 07  894·
 1977 08  791·
 1977 09  224.
 1977 10  412·
 1977 11  483·
 1977 12  291.
 1978 01 392.
 1978 02 322.
 1978 03 122·
 1978 04 101·
 1978 05 823.
 1978 06 423.
 1978 07 77·
 1978 08 787.
 1978 09 402·
 1978 10 890.
 1978 12 82
 1979 01  162·
 1979 03  274.
 1979 06  190·
 1979 07  140.
 1979 08  291.
 1979 09  793·
 1979 10  995.
 1979 11  21.
 1979 12  503.
 1980 01 59
 1980 02 252·
 1980 03 722·
 1980 04 351.
 1980 06 571·
 1980 07 150.
 1980 08 75
 1980 09 663·
 1980 10 831·
 1980 11 133.
 1980 12 853·
 1981 01  492.
 1981 02  774.
 1981 03  893.
 1981 04  3
 1981 05  162.
 1981 08  14.
 1981 10  366·
 1981 11  551.
 1981 12  242.
 1982 01 433.
 1982 02 754.
 1982 03 91
 1982 04 54
 1982 05 173.
 1982 06 481.
 1982 07 864.
 1982 08 1311·
 1982 09 593·
 1982 10 267.
 1982 11 415.
 1982 12 333·
 1983 01  333.
 1983 02  1
 1983 03  81
 1983 04  693·
 1983 05  262·
 1983 06  954·
 1983 07  564.
 1983 08  53.
 1983 09  522.
 1983 10  496.
 1983 11  425·
 1983 12  463.
 1984 02 492.
 1984 03 353.
 1984 04 405.
 1984 05 255·
 1984 06 798.
 1984 07 452·
 1984 08 745·
 1984 09 973·
 1984 10 306·
 1984 11 04.
 1984 12 959.
 1985 01  442·
 1985 02  152·
 1985 04  424·
 1985 05  794·
 1985 06  748.
 1985 07  72
 1985 08  425·
 1985 09  252.
 1985 10  174.
 1985 11  644·
 1985 12  934.
 1986 03 602.
 1986 04 312·
 1986 05 795·
 1986 06 143.
 1986 07 332.
 1986 08 962.
 1986 09 306·
 1986 10 51
 1987 02  201.
 1987 03  213·
 1987 04  548·
 1987 05  717·
 1987 06  22
 1987 07  357·
 1987 08  146.
 1987 09  696.
 1987 10  642·
 1987 12  962.
 1988 01 992.
 1988 02 647·
 1988 03 958.
 1988 04 863·
 1988 05 218.
 1988 06 03·
 1988 07 922·
 1988 08 121.
 1988 09 191.
 1988 10 471·
 1988 11 558·
 1988 12 44.
 1989 01  542.
 1989 02  984·
 1989 03  107.
 1989 04  199·
 1989 05  151·
 1989 06  732·
 1989 07  6
 1989 08  39
 1989 09  157.
 1989 10  162.
 1989 11  191.
 1989 12  722·
 1990 01 921·
 1990 03 966·
 1990 04 502.
 1990 05 471.
 1990 06 81.
 1990 07 7
 1990 08 241.
 1990 09 234.
 1990 10 521·
 1990 11 684·
 1990 12 913.
 1991 03  813.
 1991 05  365·
 1991 06  234·
 1991 07  274.
 1991 08  265·
 1991 09  983·
 1991 10  42
 1991 11  311·
 1991 12  923·
 1992 01 24·
 1992 02 18
 1992 04 311·
 1992 05 342·
 1992 07 341.
 1992 08 726·
 1992 09 751.
 1992 11 356.
 1992 12 93.
 1993 01  462·
 1993 02  394.
 1993 03  06·
 1993 04  634·
 1993 05  103·
 1993 06  242·
 1993 07  622.
 1993 08  604.
 1993 09  596·
 1993 10  556.
 1993 11  773·
 1993 12  886·
 1994 01 11
 1994 02 827.
 1994 03 273·
 1994 04 593·
 1994 06 102.
 1994 07 820·
 1994 08 181.
 1994 09 113·
 1994 10 265·
 1994 11 535.
 1994 12 826.
 1995 01  86.
 1995 02  538.
 1995 03  226.
 1995 04  764·
 1995 05  371.
 1995 06  107·
 1995 07  392.
 1995 08  8211.
 1995 09  112·
 1995 10  405.
 1995 11  791.
 1995 12  5
 1996 01 681·
 1996 02 140.
 1996 03 43
 1996 04 784.
 1996 05 706·
 1996 06 264·
 1996 07 575·
 1996 08 573·
 1996 09 7
 1996 10 934·
 1996 11 694.
 1996 12 257.
 1997 01  906.
 1997 02  626·
 1997 03  573.
 1997 04  865·
 1997 05  57
 1997 06  04·
 1997 07  206.
 1997 08  746.
 1997 09  723.
 1997 10  25·
 1997 11  847·
 1997 12  455·
 1998 01 223.
 1998 02 873·
 1998 03 993·
 1998 05 812.
 1998 06 213.
 1998 07 997.
 1998 08 405.
 1998 09 876·
 1998 10 57.
 1998 11 85.
 1998 12 9
 1999 01  962·
 1999 03  393·
 1999 05  70.
 1999 06  292·
 1999 07  657·
 1999 08  93.
 1999 09  167·
 1999 10  523.
 2000 03 753·
 2000 04 293·
 2000 05 783.
 2000 06 543·
 2000 07 323.
 2000 08 363·
 2000 09 632·
 2000 10 333·
 2000 11 698·
 2000 12 953·
 2001 01  663·
 2001 02  172.
 2001 03  412·
 2001 04  912·
 2001 05  42·
 2001 06  553·
 2001 07  323.
 2001 08  395.
 2001 09  236.
 2001 10  225·
 2001 11  465·
 2001 12  765·
 2002 01 917·
 2002 02 19
 2002 03 177.
 2002 04 655.
 2002 05 3
 2002 06 724·
 2002 07 992.
 2002 09 947.
 2002 10 779.
 2002 11 31
 2002 12 777·
 2003 02  763.
 2003 03  591.
 2003 04  711·
 2003 05  543.
 2003 06  498.
 2003 07  16
 2003 08  9210·
 2003 09  656.
 2003 10  7513·
 2003 11  4313·
 2003 12  209.
 2004 01 648.
 2004 02 4310.
 2004 03 606.
 2004 04 67·
 2004 05 355·
 2004 06 662·
 2004 07 116.
 2004 08 244·
 2004 09 82
 2004 10 809·
 2004 11 636·
 2004 12 766·
 2005 01  3911·
 2005 02  506·
 2005 03  139·
 2005 04  86
 2005 06  610·
 2005 07  636.
 2005 08  785·
 2005 09  52·
 2005 10  302·
 2006 01 32
 2006 02 45.
 2006 03 83.
 2006 04 5410·
 2006 05 95
 2006 06 580·
 2006 10 964·
 2006 11 634·
 2006 12 144.
 2007 01  364.
 2007 02  941·
 2007 03  148·
 2007 04  784.
 2007 05  568·
 2007 06  537.
 2007 07  8911.
 2007 08  011·
 2007 09  633·
 2007 11  483.
 2007 12  951·
 2008 01 172·
 2008 02 255.
 2008 03 782.
 2008 04 636.
 2008 05 939.
 2008 06 377.
 2008 07 714·
 2008 08 493·
 2008 09 15
 2008 10 194.
 2009 02  750.
 2009 05  365.
 2009 06  965.
 2009 07  135·
 2009 08  670·
 2009 09  304·
 2009 10  744·
 2009 11  900·
 2009 12  460.
 2010 01 630·
 2010 02 113.
 2010 03 433·
 2010 04 39
 2010 05 910.
 2010 06 971·
 2010 07 914.
 2010 08 963·
 2010 09 960·
 2010 10 430·
 2010 11 790.
 2010 12 91
 2011 01  85
 2011 02  883·
 2011 03  773.
 2011 04  260·
 2011 05  894·
 2011 06  946.
 2011 07  777·
 2011 08  264.
 2011 09  654.
 2011 10  500.
 2011 11  994.
 2011 12  414·
 2012 01 9410·
 2012 02 6812.
 2012 03 875.
 2012 04 467·
 2012 05 84
 2012 06 865·
 2012 07 11
 2012 08 423·
 2012 09 657·
 2012 10 67
 2012 11 64
 2012 12 5510·
 2013 01  953·
 2013 02  993.
 2013 03  6610.
 2013 04  347·
 2013 05  5510.
 2013 06  944.
 2013 07  610.
 2013 08  563·
 2013 09  524·
 2013 10  9210.
 2013 11  17
 2013 12  200·
 2014 01 176.
 2014 02 547.
 2014 03 303·
 2014 04 520.
 2014 05 70.
 2014 06 680.
 2014 07 182·
 2014 08 22.
 2014 09 42.
 2014 10 482·
 2014 11 25
 2014 12 46
 2015 01  141.
 2015 02  310.
 2015 03  210·
 2015 04  840.
 2015 05  69
 2015 06  800·
 2015 07  0
 2015 08  411·
 2015 09  261.
 2015 10  831·
 2015 11  801·
 2015 12  694.
 2016 01 663.
 2016 02 540.
 2016 03 60·
 2016 04 414·
 2016 05 964·
 2016 06 29
 2016 07 480.
 2016 08 59
 2016 09 470.


 2016 10 710.
 2016 11 984·
 2016 12 48
 2017 01  760·
 2017 02  700.
 2017 03  772·
 2017 04  594.
 2017 05  66
 2017 06  367.
 2017 07  287·
 2017 08  664·
 2017 09  21
 2017 10  100·
 2017 11  212.
 2017 12  71
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, 45-54 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