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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 26284·
 2000 02 1311.
 2000 03 51329.
 2000 04 14384·
 2000 05 56413.
 2000 06 43360.
 2000 07 44368·
 2000 08 56394·
 2000 09 59348.
 2000 10 90392·
 2000 11 44415·
 2000 12 3379·
 2001 01  85337.
 2001 02  23406·
 2001 03  65372·
 2001 04  99406·
 2001 05  10394·
 2001 06  50409·
 2001 07  43426·
 2001 08  13416·
 2001 09  33430.
 2001 10  0430.
 2001 11  42407·
 2001 12  40414.
 2002 01 80392.
 2002 02 32364·
 2002 03 50338.
 2002 04 98362.
 2002 05 2335·
 2002 06 27377.
 2002 07 80369.
 2002 08 32336·
 2002 09 74325·
 2002 10 92364.
 2002 11 69359.
 2002 12 10398.
 2003 01  96457·
 2003 02  58475·
 2003 03  80470·
 2003 04  27442·
 2003 05  93462·
 2003 06  81434.
 2003 07  2434·
 2003 08  2426.
 2003 09  17464·
 2003 10  44442.
 2003 11  47371·
 2003 12  80433·
 2004 01 43441.
 2004 02 53453.
 2004 03 53509.
 2004 04 29497.
 2004 05 70461.
 2004 06 40400.
 2004 07 83411.
 2004 08 43424.
 2004 09 24445.
 2004 10 62501.
 2004 11 24477.
 2004 12 42489·
 2005 01  57419.
 2005 02  99419·
 2005 03  91438.
 2005 04  70446·
 2005 05  42479.
 2005 06  59436.
 2005 07  20441.
 2005 08  95481.
 2005 09  81466.
 2005 10  74450.
 2005 11  75449·
 2005 12  13445.
 2006 01 98456·
 2006 02 99464·
 2006 03 43419.
 2006 04 41410·
 2006 05 45433·
 2006 06 17388.
 2006 07 37392.
 2006 08 25425.
 2006 09 96483.
 2006 10 34472·
 2006 11 95457·
 2006 12 34460.
 2007 01  53413.
 2007 02  82464.
 2007 03  81470·
 2007 04  61394·
 2007 05  39391.
 2007 06  18385·
 2007 07  82373.
 2007 08  25443·
 2007 09  7499.
 2007 10  23489.
 2007 11  10500·
 2007 12  72451.
 2008 01 31478.
 2008 02 4487.
 2008 03 4491·
 2008 04 70468·
 2008 05 11469.
 2008 06 92443·
 2008 07 27475·
 2008 08 12477·
 2008 09 73486.
 2008 10 44477.
 2008 11 66475·
 2008 12 19462·
 2009 01  68481·
 2009 02  42457·
 2009 03  35536·
 2009 04  35503.
 2009 05  71453.
 2009 06  92447.
 2009 07  71425·
 2009 08  28413.
 2009 09  81440.
 2009 10  26385·
 2009 11  38410·
 2009 12  93472.
 2010 01 25445.
 2010 02 1425.
 2010 03 22490.
 2010 04 48480.
 2010 05 53481.
 2010 06 99537.
 2010 07 38515.
 2010 08 39525·
 2010 09 40561.
 2010 10 25522.
 2010 11 22583·
 2010 12 34557.
 2011 01  87410.
 2011 02  12443.
 2011 03  38412.
 2011 04  27429·
 2011 05  19423.
 2011 06  16466.
 2011 07  74483·
 2011 08  37457.
 2011 09  87530.
 2011 10  19538·
 2011 11  42577·
 2011 12  9594·
 2012 01 65581·
 2012 02 27494.
 2012 03 81443·
 2012 04 12453.
 2012 05 55428·
 2012 06 72448·
 2012 07 53508.
 2012 08 39512.
 2012 09 82556.
 2012 10 12582·
 2012 11 46523.
 2012 12 11581.
 2013 01  95516·
 2013 02  26529·
 2013 03  73533·
 2013 04  70539.
 2013 05  71593.
 2013 06  23493·
 2013 07  73575·
 2013 08  87544.
 2013 09  9520.
 2013 10  34549·
 2013 11  7538.
 2013 12  55522.
 2014 01 36518.
 2014 02 15511.
 2014 03 64497·
 2014 04 94500.
 2014 05 2541.
 2014 06 47518.
 2014 07 57510.
 2014 08 48502.
 2014 09 81493.
 2014 10 39517·
 2014 11 23550.
 2014 12 85565.
 2015 01  75634.
 2015 02  20658·
 2015 03  26662·
 2015 04  0601.
 2015 05  9550·
 2015 06  49588.
 2015 07  53632·
 2015 08  12613·
 2015 09  32660.
 2015 10  6648·
 2015 11  17620.
 2015 12  66603.
 2016 01 22566.
 2016 02 98540.
 2016 03 57556·
 2016 04 30530·
 2016 05 77515·
 2016 06 58571·
 2016 07 34625.
 2016 08 98653·
 2016 09 24657·
 2016 10 40657.
 2016 11 37607.
 2016 12 91577·
 2017 01  12598.
 2017 02  28569.
 2017 03  80624.
 2017 04  51626.
 2017 05  18583.
 2017 06  27578.
 2017 07  99605·
 2017 08  48618.
 2017 09  41666·
 2017 10  70595·
 2017 11  57579.


 2017 12  75591·
 2018 01 6561.
 2018 02 13665.
 2018 03 43677·
 2018 04 54665·
 2018 05 66637.
 2018 06 38589.
 2018 07 69597·
 2018 08 26615·
 2018 09 94587·
 2018 10 51529·
 2018 11 74581.
 2018 12 62590.
 2019 01  90602.
 2019 02  83599.
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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

Want state personal income and/or population data?

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