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 Series Title: Employment Level: Installation, Maintenance, and Repair Occupations in Manufacturing Industry: NSA
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 2000 01 12883.
 2000 02 80880.
 2000 03 24859·
 2000 04 73855.
 2000 05 77861.
 2000 06 91832·
 2000 07 71874·
 2000 08 2930·
 2000 09 52898·
 2000 10 44858.
 2000 11 61868·
 2000 12 74819.
 2001 01  87820.
 2001 02  20875·
 2001 03  10891.
 2001 04  32805·
 2001 05  58747.
 2001 06  28719·
 2001 07  54802·
 2001 08  46823.
 2001 09  65829.
 2001 10  97838·
 2001 11  56860·
 2001 12  10853.
 2002 01 34840·
 2002 02 85854.
 2002 03 4810.
 2002 04 43766·
 2002 05 15762·
 2002 06 74773.
 2002 07 11788·
 2002 08 89773.
 2002 09 83819.
 2002 10 69793·
 2002 11 16765.
 2002 12 17794.
 2003 01  40796·
 2003 02  3777.
 2003 03  80745.
 2003 04  21723·
 2003 05  9736.
 2003 06  33691.
 2003 07  92666.
 2003 08  21668.
 2003 09  42740.
 2003 10  40751·
 2003 11  65785·
 2003 12  61749·
 2004 01 14745.
 2004 02 30740.
 2004 03 37787.
 2004 04 10748.
 2004 05 26769.
 2004 06 35766·
 2004 07 69755.
 2004 08 61753.
 2004 09 2727·
 2004 10 13715·
 2004 11 52751.
 2004 12 35810·
 2005 01  93794·
 2005 02  44796.
 2005 03  96849·
 2005 04  75794.
 2005 05  75757.
 2005 06  35749·
 2005 07  40725·
 2005 08  50801·
 2005 09  48810·
 2005 10  18820.
 2005 11  48747.
 2005 12  55768.
 2006 01 37746·
 2006 02 49750.
 2006 03 7788.
 2006 04 9884·
 2006 05 93903.
 2006 06 11843.
 2006 07 29922·
 2006 08 55841·
 2006 09 91779·
 2006 10 9747.
 2006 11 53740.
 2006 12 63746.
 2007 01  32735.
 2007 02  76780.
 2007 03  41747.
 2007 04  27770·
 2007 05  40775·
 2007 06  68812·
 2007 07  82837·
 2007 08  67744·
 2007 09  67786·
 2007 10  66812.
 2007 11  89842·
 2007 12  26890.
 2008 01 87812·
 2008 02 78831.
 2008 03 98756·
 2008 04 73730·
 2008 05 2808.
 2008 06 34789·
 2008 07 74796·
 2008 08 3782.
 2008 09 36766·
 2008 10 93785.
 2008 11 4844.
 2008 12 35876.
 2009 01  40818.
 2009 02  34804·
 2009 03  1799.
 2009 04  13770.
 2009 05  89778·
 2009 06  66749.
 2009 07  2761·
 2009 08  6747.
 2009 09  84777·
 2009 10  18730.
 2009 11  71712·
 2009 12  8673·
 2010 01 49665·
 2010 02 49723.
 2010 03 96711.
 2010 04 38689.
 2010 05 36645·
 2010 06 40545·
 2010 07 90635·
 2010 08 41597·
 2010 09 20628.
 2010 10 98705·
 2010 11 89706·
 2010 12 86697.
 2011 01  2702·
 2011 02  53649·
 2011 03  58623.
 2011 04  66618·
 2011 05  5563·
 2011 06  63608.
 2011 07  84633·
 2011 08  1650·
 2011 09  82741·
 2011 10  9829·
 2011 11  81749.
 2011 12  36754.
 2012 01 7656·
 2012 02 99589.
 2012 03 85629.
 2012 04 38670.
 2012 05 81698.
 2012 06 63707·
 2012 07 60672·
 2012 08 3644·
 2012 09 29683·
 2012 10 58718.
 2012 11 93693.
 2012 12 49752.
 2013 01  2773·
 2013 02  66774.
 2013 03  99730·
 2013 04  21750.
 2013 05  74711.
 2013 06  94744·
 2013 07  14731.
 2013 08  88653.
 2013 09  47741·
 2013 10  73653·
 2013 11  1664·
 2013 12  43734·
 2014 01 46706.
 2014 02 60673.
 2014 03 48659.
 2014 04 7616·
 2014 05 20656.
 2014 06 36704.
 2014 07 69635·
 2014 08 23657.
 2014 09 46674·
 2014 10 9697.
 2014 11 1705.
 2014 12 60718.
 2015 01  24776·
 2015 02  9675.
 2015 03  6672.
 2015 04  12643·
 2015 05  80618.
 2015 06  94682.
 2015 07  74687.
 2015 08  99668.
 2015 09  63701·
 2015 10  45708.
 2015 11  16667·
 2015 12  65663·
 2016 01 49712.
 2016 02 68632.
 2016 03 71611·
 2016 04 79603.
 2016 05 38565.
 2016 06 96632.
 2016 07 1643·
 2016 08 35641·
 2016 09 57662·
 2016 10 84624·
 2016 11 95641.
 2016 12 52634·
 2017 01  54667·
 2017 02  16699.
 2017 03  65722·
 2017 04  74723.
 2017 05  6733·
 2017 06  96697·


 2017 07  50681.
 2017 08  71594·
 2017 09  13586.
 2017 10  58593·
 2017 11  11666.
 2017 12  36737·
 2018 01 1723·
 2018 02 56720.
 2018 03 37708·
 2018 04 89726.
 2018 05 19706·
 2018 06 75788·
 2018 07 42788·
 2018 08 74714·
 2018 09 44651·
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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

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