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: Installation, Maintenance, and Repair Occupations in Manufacturing Industry: 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 58883.
 2000 02 25880·
 2000 03 32859·
 2000 04 36855.
 2000 05 23861·
 2000 06 75832.
 2000 07 81874.
 2000 08 58930·
 2000 09 4898.
 2000 10 74858·
 2000 11 82868.
 2000 12 29819·
 2001 01  52820·
 2001 02  3875·
 2001 03  47891.
 2001 04  93805.
 2001 05  42747·
 2001 06  68719·
 2001 07  13802·
 2001 08  18823.
 2001 09  75829·
 2001 10  2838·
 2001 11  43860·
 2001 12  0853.
 2002 01 76840·
 2002 02 61854·
 2002 03 27810·
 2002 04 56766·
 2002 05 95762·
 2002 06 26773.
 2002 07 75788·
 2002 08 32773.
 2002 09 7819.
 2002 10 5793·
 2002 11 27765·
 2002 12 97794.
 2003 01  14796·
 2003 02  29777·
 2003 03  45745·
 2003 04  44723.
 2003 05  40736·
 2003 06  55691·
 2003 07  17666·
 2003 08  93668·
 2003 09  36740·
 2003 10  63751.
 2003 11  56785·
 2003 12  88749.
 2004 01 78745·
 2004 02 62740·
 2004 03 0787.
 2004 04 98748.
 2004 05 65769.
 2004 06 82766·
 2004 07 11755·
 2004 08 17753.
 2004 09 23727·
 2004 10 80715·
 2004 11 78751.
 2004 12 65810.
 2005 01  2794·
 2005 02  38796.
 2005 03  14849·
 2005 04  85794·
 2005 05  78757·
 2005 06  63749.
 2005 07  56725·
 2005 08  47801·
 2005 09  51810·
 2005 10  85820·
 2005 11  67747·
 2005 12  44768·
 2006 01 47746·
 2006 02 62750.
 2006 03 35788.
 2006 04 97884.
 2006 05 16903.
 2006 06 76843·
 2006 07 73922.
 2006 08 48841·
 2006 09 34779.
 2006 10 33747.
 2006 11 20740·
 2006 12 68746.
 2007 01  0735·
 2007 02  64780.
 2007 03  37747·
 2007 04  50770.
 2007 05  40775·
 2007 06  26812·
 2007 07  13837.
 2007 08  13744.
 2007 09  5786·
 2007 10  2812·
 2007 11  60842.
 2007 12  2890.
 2008 01 69812·
 2008 02 97831.
 2008 03 17756·
 2008 04 86730.
 2008 05 34808.
 2008 06 43789.
 2008 07 47796·
 2008 08 59782·
 2008 09 25766.
 2008 10 97785·
 2008 11 36844.
 2008 12 40876.
 2009 01  92818·
 2009 02  41804.
 2009 03  99799.
 2009 04  73770·
 2009 05  10778·
 2009 06  80749.
 2009 07  73761.
 2009 08  27747.
 2009 09  80777·
 2009 10  48730·
 2009 11  21712.
 2009 12  97673.
 2010 01 28665·
 2010 02 99723.
 2010 03 31711·
 2010 04 1689.
 2010 05 3645.
 2010 06 17545.
 2010 07 15635.
 2010 08 84597.
 2010 09 81628.
 2010 10 8705·
 2010 11 12706.
 2010 12 15697.
 2011 01  63702·
 2011 02  3649·
 2011 03  85623·
 2011 04  88618.
 2011 05  73563.
 2011 06  59608·
 2011 07  21633.
 2011 08  22650·
 2011 09  63741·
 2011 10  57829.
 2011 11  33749·
 2011 12  62754.
 2012 01 8656.
 2012 02 5589·
 2012 03 60629.
 2012 04 76670.
 2012 05 7698.
 2012 06 33707·
 2012 07 63672.
 2012 08 58644·
 2012 09 87683·
 2012 10 0718.
 2012 11 32693.
 2012 12 28752.
 2013 01  97773.
 2013 02  85774.
 2013 03  78730.
 2013 04  30750.
 2013 05  14711·
 2013 06  96744·
 2013 07  40731.
 2013 08  33653.
 2013 09  37741.
 2013 10  65653·
 2013 11  81664.
 2013 12  32734.
 2014 01 93706.
 2014 02 47673.
 2014 03 88659·
 2014 04 44616.
 2014 05 30656.
 2014 06 26704.
 2014 07 75635.
 2014 08 15657·
 2014 09 26674·
 2014 10 6697.
 2014 11 79705.
 2014 12 14718.
 2015 01  79776.
 2015 02  21675.
 2015 03  64672.
 2015 04  34643.
 2015 05  16618.
 2015 06  27682·
 2015 07  16687·
 2015 08  95668·
 2015 09  87701·
 2015 10  4708·
 2015 11  49667·
 2015 12  41663·
 2016 01 67712·
 2016 02 61632·
 2016 03 2611.
 2016 04 41603·
 2016 05 57565.
 2016 06 28632·
 2016 07 36643·
 2016 08 90641.
 2016 09 82662.
 2016 10 63624.
 2016 11 39641.
 2016 12 6634·
 2017 01  93667·
 2017 02  46699.


 2017 03  26722·
 2017 04  33723.
 2017 05  64733·
 2017 06  85697·
 2017 07  32681.
 2017 08  41594.
 2017 09  97586·
 2017 10  11593·
 2017 11  22666.
 2017 12  24737·
 2018 01 16723·
 2018 02 81720·
 2018 03 83708·
 2018 04 1726·
 2018 05 73706.
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: Installation, Maintenance, and Repair Occupations in Manufacturing Industry: 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

Find out about Advanced Features such as online regressions, XY plots, and multiple series charting.

Sites of Interest: Cheap Football Shirt * 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