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 06 336·
 1976 07 613.
 1976 08 832.
 1976 09 111.
 1976 10 601.
 1976 12 31·
 1977 01  141.
 1977 02  99
 1977 03  413·
 1977 04  861.
 1977 05  336.
 1977 06  725·
 1977 07  274·
 1977 08  361.
 1977 09  544.
 1977 10  762·
 1977 11  92
 1977 12  611.
 1978 01 142.
 1978 02 792·
 1978 03 372.
 1978 04 911·
 1978 05 753·
 1978 06 763·
 1978 07 877.
 1978 08 847.
 1978 09 272·
 1978 10 860·
 1978 12 94
 1979 01  222.
 1979 03  824.
 1979 06  530.
 1979 07  310·
 1979 08  101.
 1979 09  773·
 1979 10  455.
 1979 11  01.
 1979 12  803.
 1980 01 764.
 1980 02 582·
 1980 03 262·
 1980 04 901.
 1980 06 67
 1980 07 100.
 1980 08 590·
 1980 09 203·
 1980 10 621·
 1980 11 453·
 1980 12 763·
 1981 01  782.
 1981 02  994·
 1981 03  333.
 1981 04  753.
 1981 05  95
 1981 08  41
 1981 10  68
 1981 11  831.
 1981 12  272.
 1982 01 773·
 1982 02 684·
 1982 03 495.
 1982 04 573.
 1982 05 193·
 1982 06 791.
 1982 07 504·
 1982 08 9011·
 1982 09 43.
 1982 10 687.
 1982 11 865.
 1982 12 603.
 1983 01  963·
 1983 02  312.
 1983 03  824.
 1983 04  213·
 1983 05  832·
 1983 06  874.
 1983 07  884.
 1983 08  563.
 1983 09  782·
 1983 10  796.
 1983 11  805.
 1983 12  723·
 1984 02 172.
 1984 03 763·
 1984 04 58
 1984 05 05.
 1984 06 668.
 1984 07 742.
 1984 08 485.
 1984 09 973.
 1984 10 106.
 1984 11 904·
 1984 12 09.
 1985 01  442·
 1985 02  642.
 1985 04  704·
 1985 05  90
 1985 06  488·
 1985 07  645.
 1985 08  815·
 1985 09  172·
 1985 10  414·
 1985 11  754·
 1985 12  194.
 1986 03 82.
 1986 04 792.
 1986 05 835.
 1986 06 33·
 1986 07 122.
 1986 08 44
 1986 09 26.
 1986 10 774·
 1987 02  51·
 1987 03  433.
 1987 04  698.
 1987 05  97·
 1987 06  882.
 1987 07  77.
 1987 08  486.
 1987 09  94
 1987 10  852·
 1987 12  932·
 1988 01 262·
 1988 02 517·
 1988 03 478.
 1988 04 833.
 1988 05 178·
 1988 06 253.
 1988 07 502·
 1988 08 831.
 1988 09 58
 1988 10 841·
 1988 11 948·
 1988 12 244.
 1989 01  112.
 1989 02  224.
 1989 03  57·
 1989 04  649·
 1989 05  661·
 1989 06  59
 1989 07  322.
 1989 08  84
 1989 09  347.
 1989 10  392·
 1989 11  511·
 1989 12  91
 1990 01 54
 1990 03 316.
 1990 04 622·
 1990 05 171.
 1990 06 89
 1990 07 292·
 1990 08 921.
 1990 09 174·
 1990 10 261.
 1990 11 524.
 1990 12 903.
 1991 03  743·
 1991 05  785.
 1991 06  44
 1991 07  314.
 1991 08  945·
 1991 09  84
 1991 10  753.
 1991 11  171.
 1991 12  103.
 1992 01 64.
 1992 02 391.
 1992 04 721·
 1992 05 762.
 1992 07 321.
 1992 08 546.
 1992 09 471·
 1992 11 766·
 1992 12 753·
 1993 01  662·
 1993 02  174.
 1993 03  166.
 1993 04  724·
 1993 05  423·
 1993 06  832·
 1993 07  282·
 1993 08  884·
 1993 09  786·
 1993 10  706·
 1993 11  683.
 1993 12  96·
 1994 01 927·
 1994 02 287·
 1994 03 173·
 1994 04 483·
 1994 06 282·
 1994 07 330.
 1994 08 831·
 1994 09 44
 1994 10 575.
 1994 11 865.
 1994 12 976·
 1995 01  596·
 1995 02  708·
 1995 03  106·
 1995 04  15
 1995 05  811.
 1995 06  897.
 1995 07  582·
 1995 08  2011·
 1995 09  232·
 1995 10  575.
 1995 11  41.
 1995 12  180·
 1996 01 241·
 1996 02 430.
 1996 03 490·
 1996 04 414.
 1996 05 456.
 1996 06 424.
 1996 07 195.
 1996 08 453·
 1996 09 75
 1996 10 714.
 1996 11 624·
 1996 12 127·
 1997 01  266.
 1997 02  776·
 1997 03  563·
 1997 04  485.
 1997 05  376.
 1997 06  274·
 1997 07  06·
 1997 08  866.
 1997 09  703·
 1997 10  165·
 1997 11  197.
 1997 12  815·
 1998 01 143·
 1998 02 643·
 1998 03 653·
 1998 05 162·
 1998 06 803·
 1998 07 137·
 1998 08 125.
 1998 09 976.
 1998 10 87·
 1998 11 345·
 1998 12 616·
 1999 01  562.
 1999 03  603.
 1999 05  200.
 1999 06  382·
 1999 07  497.
 1999 08  24
 1999 09  907.
 1999 10  923·
 2000 03 593·
 2000 04 12
 2000 05 903.
 2000 06 993.
 2000 07 913.
 2000 08 633.
 2000 09 872·
 2000 10 60
 2000 11 778.
 2000 12 403.
 2001 01  773.
 2001 02  99
 2001 03  742.
 2001 04  292.
 2001 05  77
 2001 06  683.
 2001 07  643.
 2001 08  465.
 2001 09  336.
 2001 10  415.
 2001 11  53
 2001 12  265.
 2002 01 137·
 2002 02 196.
 2002 03 737·
 2002 04 345·
 2002 05 124.
 2002 06 284·
 2002 07 812·
 2002 09 567·
 2002 10 499·
 2002 11 177.
 2002 12 577.
 2003 02  6
 2003 03  671·
 2003 04  631.
 2003 05  103·
 2003 06  228·
 2003 07  376.
 2003 08  6510·
 2003 09  706·
 2003 10  6713.
 2003 11  5213.
 2003 12  499.
 2004 01 948.
 2004 02 2810·
 2004 03 306·
 2004 04 667.
 2004 05 645.
 2004 06 192.
 2004 07 186.
 2004 08 904.
 2004 09 866.
 2004 10 77
 2004 11 836.
 2004 12 236·
 2005 01  9211·
 2005 02  656·
 2005 03  199.
 2005 04  895.
 2005 06  390·
 2005 07  726·
 2005 08  475.
 2005 09  382·
 2005 10  82·
 2006 01 93.
 2006 02 95.
 2006 03 483·
 2006 04 610·
 2006 05 153.
 2006 06 76
 2006 10 164.
 2006 11 654.
 2006 12 534.
 2007 01  414.
 2007 02  701.
 2007 03  418.
 2007 04  104.
 2007 05  238·
 2007 06  607·
 2007 07  1611·
 2007 08  111.
 2007 09  673.
 2007 11  60
 2007 12  961.
 2008 01 612·
 2008 02 415·
 2008 03 722.
 2008 04 136·
 2008 05 559·
 2008 06 417.
 2008 07 204.
 2008 08 243·
 2008 09 704.
 2008 10 844·
 2009 02  550.
 2009 05  115.
 2009 06  195.
 2009 07  165.
 2009 08  530·
 2009 09  804·
 2009 10  414.
 2009 11  40.
 2009 12  13
 2010 01 620.
 2010 02 973.
 2010 03 453.
 2010 04 62
 2010 05 150·
 2010 06 761.
 2010 07 554·
 2010 08 503.
 2010 09 190·
 2010 10 900.
 2010 11 810·
 2010 12 513·
 2011 01  830.
 2011 02  793·
 2011 03  903·
 2011 04  670·
 2011 05  364.
 2011 06  36·
 2011 07  77
 2011 08  224·
 2011 09  374.
 2011 10  520.
 2011 11  614.
 2011 12  684·
 2012 01 6610·
 2012 02 3812·
 2012 03 865·
 2012 04 797.
 2012 05 305.
 2012 06 05·
 2012 07 226·
 2012 08 563.
 2012 09 61
 2012 10 997·
 2012 11 636·
 2012 12 2510·
 2013 01  15
 2013 02  243.
 2013 03  2710·
 2013 04  357.
 2013 05  7510·
 2013 06  884.
 2013 07  590.
 2013 08  623·
 2013 09  464·
 2013 10  2910.
 2013 11  273.
 2013 12  70·
 2014 01 616.
 2014 02 97.
 2014 03 273.
 2014 04 95
 2014 05 760.
 2014 06 170.
 2014 07 772.
 2014 08 762·
 2014 09 722·
 2014 10 652·
 2014 11 220.
 2014 12 260.
 2015 01  571.
 2015 02  920.
 2015 03  300.
 2015 04  45
 2015 05  620·
 2015 06  590.
 2015 07  950.
 2015 08  581·
 2015 09  431.
 2015 10  561.
 2015 11  381·
 2015 12  164.
 2016 01 833.
 2016 02 950.
 2016 03 10.
 2016 04 944·
 2016 05 874·
 2016 06 130·
 2016 07 540.
 2016 08 93
 2016 09 880.
 2016 10 74
 2016 11 92
 2016 12 38
 2017 01  42
 2017 02  660.
 2017 03  332.
 2017 04  80


 2017 05  314·
 2017 06  17.
 2017 07  217·
 2017 08  934.
 2017 09  614·
 2017 10  170·
 2017 11  27
 2017 12  792·
 2018 01 651·
 2018 02 78
 2018 03 420·
 2018 04 620·
 2018 05 98
 2018 06 716.
 2018 07 886.
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

Want state and city building permits data? Click here for California and then find your own.

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