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 Series Title: Employment Level: Installation, Maintenance, and Repair Occupations, Mexican: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 10284·
 2000 02 81311·
 2000 03 37329·
 2000 04 24384·
 2000 05 14413.
 2000 06 79360·
 2000 07 94368.
 2000 08 63394·
 2000 09 72348.
 2000 10 64392·
 2000 11 40415·
 2000 12 88379·
 2001 01  34337·
 2001 02  16406.
 2001 03  87372·
 2001 04  44406·
 2001 05  76394.
 2001 06  42409.
 2001 07  73426·
 2001 08  99416.
 2001 09  97430·
 2001 10  74430.
 2001 11  61407.
 2001 12  47414.
 2002 01 24392·
 2002 02 69364.
 2002 03 40338·
 2002 04 8362·
 2002 05 7335·
 2002 06 7377.
 2002 07 21369·
 2002 08 26336.
 2002 09 21325·
 2002 10 97364·
 2002 11 43359·
 2002 12 71398.
 2003 01  67457.
 2003 02  69475·
 2003 03  68470·
 2003 04  35442·
 2003 05  69462.
 2003 06  80434.
 2003 07  86434·
 2003 08  38426·
 2003 09  79464·
 2003 10  12442.
 2003 11  7371·
 2003 12  25433.
 2004 01 72441·
 2004 02 71453·
 2004 03 71509.
 2004 04 65497.
 2004 05 48461.
 2004 06 90400·
 2004 07 40411·
 2004 08 51424·
 2004 09 32445.
 2004 10 24501·
 2004 11 2477.
 2004 12 3489.
 2005 01  75419.
 2005 02  55419.
 2005 03  70438.
 2005 04  65446·
 2005 05  53479·
 2005 06  90436·
 2005 07  82441.
 2005 08  6481.
 2005 09  65466·
 2005 10  61450·
 2005 11  1449.
 2005 12  21445·
 2006 01 37456·
 2006 02 24464·
 2006 03 15419·
 2006 04 28410.
 2006 05 20433·
 2006 06 61388.
 2006 07 36392·
 2006 08 71425.
 2006 09 89483.
 2006 10 78472·
 2006 11 2457.
 2006 12 20460.
 2007 01  44413·
 2007 02  8464·
 2007 03  77470.
 2007 04  69394·
 2007 05  10391.
 2007 06  6385.
 2007 07  48373·
 2007 08  37443·
 2007 09  39499.
 2007 10  55489.
 2007 11  28500.
 2007 12  68451.
 2008 01 5478·
 2008 02 60487.
 2008 03 55491·
 2008 04 32468·
 2008 05 9469.
 2008 06 55443·
 2008 07 92475·
 2008 08 22477.
 2008 09 76486·
 2008 10 95477·
 2008 11 27475.
 2008 12 57462.
 2009 01  57481.
 2009 02  61457.
 2009 03  72536.
 2009 04  82503.
 2009 05  26453.
 2009 06  62447.
 2009 07  66425.
 2009 08  66413.
 2009 09  85440·
 2009 10  27385·
 2009 11  72410·
 2009 12  2472.
 2010 01 59445.
 2010 02 15425·
 2010 03 77490·
 2010 04 11480.
 2010 05 98481·
 2010 06 6537.
 2010 07 94515.
 2010 08 36525.
 2010 09 78561.
 2010 10 7522.
 2010 11 61583·
 2010 12 47557·
 2011 01  98410.
 2011 02  51443·
 2011 03  41412·
 2011 04  37429·
 2011 05  85423.
 2011 06  92466·
 2011 07  22483.
 2011 08  25457.
 2011 09  89530.
 2011 10  14538·
 2011 11  17577.
 2011 12  57594.
 2012 01 84581·
 2012 02 22494.
 2012 03 64443.
 2012 04 0453·
 2012 05 73428·
 2012 06 49448.
 2012 07 25508·
 2012 08 50512·
 2012 09 79556.
 2012 10 51582·
 2012 11 89523·
 2012 12 24581.
 2013 01  53516.
 2013 02  10529·
 2013 03  68533.
 2013 04  68539.
 2013 05  71593.
 2013 06  32493·
 2013 07  0575·
 2013 08  51544·
 2013 09  34520.
 2013 10  48549.
 2013 11  48538·
 2013 12  66522·
 2014 01 65518.
 2014 02 17511·
 2014 03 1497.
 2014 04 33500.
 2014 05 17541.
 2014 06 18518.
 2014 07 70510.
 2014 08 96502·
 2014 09 63493·
 2014 10 60517·
 2014 11 94550·
 2014 12 24565·
 2015 01  6634.
 2015 02  73658·
 2015 03  36662.
 2015 04  11601.
 2015 05  69550.
 2015 06  14588.
 2015 07  84632.
 2015 08  77613.
 2015 09  4660·
 2015 10  65648·
 2015 11  50620.
 2015 12  65603.
 2016 01 86566.
 2016 02 33540·
 2016 03 72556·
 2016 04 45530.
 2016 05 15515.
 2016 06 48571·
 2016 07 14625·
 2016 08 10653·
 2016 09 16657.
 2016 10 68657·
 2016 11 63607·
 2016 12 80577·
 2017 01  40598·
 2017 02  75569.
 2017 03  31624·
 2017 04  0626.
 2017 05  63583·
 2017 06  74578.


 2017 07  58605.
 2017 08  37618·
 2017 09  85666.
 2017 10  99595.
 2017 11  6579·
 2017 12  87591·
 2018 01 30561·
 2018 02 4665.
 2018 03 62677.
 2018 04 69665.
 2018 05 51637·
 2018 06 73589·
 2018 07 40597·
 2018 08 26615·
 2018 09 21587.
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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, Mexican: 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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