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: Employed: Self-employed Workers, Unincorporated, Nondurable goods manufacturing: 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
 2000 01 50119.
 2000 02 96115·
 2000 03 88120.
 2000 04 17107.
 2000 05 95132.
 2000 06 41132.
 2000 07 72129.
 2000 08 36139·
 2000 09 63105.
 2000 10 40125·
 2000 11 1292·
 2000 12 1083.
 2001 01  4103.
 2001 02  75104.
 2001 03  22107.
 2001 04  84104·
 2001 05  93114.
 2001 06  54143·
 2001 07  40170.
 2001 08  25175.
 2001 09  31134·
 2001 10  7131.
 2001 11  29132·
 2001 12  29121·
 2002 01 43118·
 2002 02 91106.
 2002 03 77117.
 2002 04 1499·
 2002 05 80124.
 2002 06 89118.
 2002 07 96110·
 2002 08 25128·
 2002 09 16112.
 2002 10 6157.
 2002 11 25144.
 2002 12 31133·
 2003 01  53136·
 2003 02  74118·
 2003 03  26120.
 2003 04  2696·
 2003 05  16131·
 2003 06  50142·
 2003 07  88150·
 2003 08  28151·
 2003 09  55128.
 2003 10  15126·
 2003 11  23114.
 2003 12  83118·
 2004 01 45144.
 2004 02 76117.
 2004 03 68128·
 2004 04 59119·
 2004 05 8794·
 2004 06 6694.
 2004 07 88108·
 2004 08 5182·
 2004 09 668·
 2004 10 39110·
 2004 11 70113·
 2004 12 77132·
 2005 01  53148.
 2005 02  79147.
 2005 03  26113.
 2005 04  82110·
 2005 05  3122.
 2005 06  92112.
 2005 07  9590.
 2005 08  3588.
 2005 09  57111.
 2005 10  8124.
 2005 11  40126·
 2005 12  30123.
 2006 01 39127·
 2006 02 86128.
 2006 03 47121.
 2006 04 86135.
 2006 05 1118.
 2006 06 7116·
 2006 07 32108·
 2006 08 47100.
 2006 09 17126·
 2006 10 76120·
 2006 11 3089.
 2006 12 83116·
 2007 01  88105·
 2007 02  27109.
 2007 03  5161.
 2007 04  87164·
 2007 05  40122·
 2007 06  15161.
 2007 07  46123·
 2007 08  79133·
 2007 09  22146.
 2007 10  22127·
 2007 11  64131·
 2007 12  3129.
 2008 01 1199·
 2008 02 5599·
 2008 03 98132·
 2008 04 28117·
 2008 05 6134.
 2008 06 45120·
 2008 07 11120·
 2008 08 48138·
 2008 09 33135.
 2008 10 50108.
 2008 11 9087·
 2008 12 8386.
 2009 01  4392.
 2009 02  50116.
 2009 03  49120·
 2009 04  75123.
 2009 05  10119·
 2009 06  53125.
 2009 07  25143.
 2009 08  96169.
 2009 09  36156.
 2009 10  89137·
 2009 11  81111·
 2009 12  38110.
 2010 01 4499·
 2010 02 17120·
 2010 03 5112·
 2010 04 21125.
 2010 05 87130.
 2010 06 16129.
 2010 07 10133.
 2010 08 89119·
 2010 09 3994.
 2010 10 95104·
 2010 11 35112·
 2010 12 11106·
 2011 01  186.
 2011 02  84105.
 2011 03  40109.
 2011 04  81105·
 2011 05  98109.
 2011 06  40100·
 2011 07  16112·
 2011 08  1989.
 2011 09  8189·
 2011 10  4668.
 2011 11  7498.
 2011 12  68104.
 2012 01 24116·
 2012 02 6115·
 2012 03 53113.
 2012 04 98108.
 2012 05 28100.
 2012 06 54136·
 2012 07 15142.
 2012 08 3117.
 2012 09 20158·
 2012 10 46128.
 2012 11 48132·
 2012 12 2141.
 2013 01  48144.
 2013 02  63134.
 2013 03  65107·
 2013 04  3985·
 2013 05  8977.
 2013 06  12105.
 2013 07  4106.
 2013 08  83114.
 2013 09  42121·
 2013 10  2599.
 2013 11  28105·
 2013 12  29106·
 2014 01 34107.
 2014 02 58107·
 2014 03 25104·
 2014 04 9598.
 2014 05 1490·
 2014 06 9376.
 2014 07 884.
 2014 08 2696.
 2014 09 58101·
 2014 10 37112.
 2014 11 14132.
 2014 12 90125.
 2015 01  67112.
 2015 02  2186.
 2015 03  6122.
 2015 04  83128.
 2015 05  65129·
 2015 06  2112.
 2015 07  73113·
 2015 08  23131·
 2015 09  4121.
 2015 10  61138.
 2015 11  27117.
 2015 12  54124·
 2016 01 5873.
 2016 02 665.
 2016 03 7119·
 2016 04 45123·
 2016 05 28125.
 2016 06 67114.
 2016 07 7495.
 2016 08 91106.
 2016 09 40120.
 2016 10 2112·
 2016 11 17108.
 2016 12 10136·
 2017 01  43108·
 2017 02  92115·
 2017 03  49106·
 2017 04  4788·
 2017 05  1372·


 2017 06  44105.
 2017 07  8102·
 2017 08  72113.
 2017 09  51128·
 2017 10  89154·
 2017 11  56133·
 2017 12  77136·
 2018 01 82118.
 2018 02 85100·
 2018 03 82118.
 2018 04 83102·
 2018 05 5663.
 2018 06 1283.
 2018 07 9873.
 2018 08 33105·
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: Employed: Self-employed Workers, Unincorporated, Nondurable goods manufacturing: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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