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 Series Title: Employment Level: Installation, Maintenance, and Repair Occupations, Mexican: NSA
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 2000 01 12284·
 2000 02 6311·
 2000 03 13329.
 2000 04 29384.
 2000 05 77413.
 2000 06 77360·
 2000 07 55368.
 2000 08 66394·
 2000 09 44348·
 2000 10 84392·
 2000 11 36415·
 2000 12 39379.
 2001 01  67337·
 2001 02  9406·
 2001 03  68372.
 2001 04  92406.
 2001 05  18394·
 2001 06  57409·
 2001 07  90426.
 2001 08  94416.
 2001 09  0430.
 2001 10  62430·
 2001 11  63407·
 2001 12  41414.
 2002 01 37392·
 2002 02 79364·
 2002 03 77338.
 2002 04 49362.
 2002 05 80335·
 2002 06 91377·
 2002 07 43369·
 2002 08 65336·
 2002 09 5325·
 2002 10 3364·
 2002 11 0359·
 2002 12 57398.
 2003 01  10457.
 2003 02  48475·
 2003 03  11470·
 2003 04  19442·
 2003 05  23462.
 2003 06  82434.
 2003 07  63434·
 2003 08  70426.
 2003 09  93464·
 2003 10  86442·
 2003 11  70371·
 2003 12  55433·
 2004 01 96441.
 2004 02 68453·
 2004 03 69509·
 2004 04 42497.
 2004 05 32461·
 2004 06 59400.
 2004 07 23411.
 2004 08 26424·
 2004 09 26445·
 2004 10 16501·
 2004 11 20477·
 2004 12 25489·
 2005 01  30419·
 2005 02  20419·
 2005 03  74438·
 2005 04  85446.
 2005 05  17479·
 2005 06  78436·
 2005 07  21441·
 2005 08  74481.
 2005 09  90466·
 2005 10  21450.
 2005 11  25449.
 2005 12  86445·
 2006 01 72456·
 2006 02 7464.
 2006 03 73419·
 2006 04 41410·
 2006 05 15433·
 2006 06 16388·
 2006 07 80392·
 2006 08 82425·
 2006 09 94483·
 2006 10 56472·
 2006 11 81457.
 2006 12 79460.
 2007 01  9413.
 2007 02  58464·
 2007 03  41470·
 2007 04  25394·
 2007 05  86391·
 2007 06  79385.
 2007 07  47373.
 2007 08  41443.
 2007 09  75499·
 2007 10  1489·
 2007 11  12500.
 2007 12  70451·
 2008 01 51478·
 2008 02 29487.
 2008 03 75491·
 2008 04 81468·
 2008 05 15469.
 2008 06 96443·
 2008 07 97475.
 2008 08 68477.
 2008 09 92486.
 2008 10 59477·
 2008 11 67475.
 2008 12 51462·
 2009 01  33481.
 2009 02  98457.
 2009 03  97536·
 2009 04  74503·
 2009 05  13453·
 2009 06  21447.
 2009 07  27425·
 2009 08  5413·
 2009 09  32440.
 2009 10  59385·
 2009 11  17410.
 2009 12  39472.
 2010 01 16445·
 2010 02 70425·
 2010 03 57490.
 2010 04 96480·
 2010 05 15481.
 2010 06 34537.
 2010 07 59515.
 2010 08 19525.
 2010 09 5561.
 2010 10 57522.
 2010 11 62583.
 2010 12 77557·
 2011 01  86410·
 2011 02  73443·
 2011 03  27412.
 2011 04  64429·
 2011 05  83423.
 2011 06  38466·
 2011 07  43483.
 2011 08  1457·
 2011 09  46530.
 2011 10  32538·
 2011 11  24577·
 2011 12  30594·
 2012 01 52581.
 2012 02 63494.
 2012 03 5443·
 2012 04 21453·
 2012 05 1428.
 2012 06 63448.
 2012 07 52508·
 2012 08 68512·
 2012 09 17556·
 2012 10 87582.
 2012 11 50523.
 2012 12 90581·
 2013 01  52516.
 2013 02  18529.
 2013 03  15533.
 2013 04  32539.
 2013 05  80593·
 2013 06  63493·
 2013 07  82575·
 2013 08  62544·
 2013 09  2520·
 2013 10  52549.
 2013 11  16538·
 2013 12  75522·
 2014 01 44518.
 2014 02 43511.
 2014 03 3497.
 2014 04 90500·
 2014 05 56541.
 2014 06 18518.
 2014 07 58510·
 2014 08 50502.
 2014 09 13493·
 2014 10 82517·
 2014 11 17550.
 2014 12 26565·
 2015 01  15634.
 2015 02  67658.
 2015 03  44662.
 2015 04  11601·
 2015 05  89550·
 2015 06  31588.
 2015 07  27632·
 2015 08  24613·
 2015 09  84660.
 2015 10  55648·
 2015 11  78620·
 2015 12  10603·
 2016 01 75566.
 2016 02 45540·
 2016 03 36556·
 2016 04 37530·
 2016 05 64515·
 2016 06 33571·
 2016 07 62625.
 2016 08 0653.
 2016 09 76657.
 2016 10 76657.
 2016 11 46607·
 2016 12 18577·
 2017 01  61598·
 2017 02  55569.
 2017 03  0624·
 2017 04  35626·


 2017 05  93583.
 2017 06  78578·
 2017 07  62605·
 2017 08  21618.
 2017 09  75666·
 2017 10  74595.
 2017 11  95579.
 2017 12  68591·
 2018 01 31561.
 2018 02 3665·
 2018 03 87677.
 2018 04 97665.
 2018 05 11637·
 2018 06 44589.
 2018 07 50597·
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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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