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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 47284.
 2000 02 88311·
 2000 03 89329.
 2000 04 1384·
 2000 05 2413·
 2000 06 71360.
 2000 07 88368·
 2000 08 65394·
 2000 09 93348·
 2000 10 21392.
 2000 11 58415·
 2000 12 97379.
 2001 01  69337·
 2001 02  20406.
 2001 03  10372.
 2001 04  40406·
 2001 05  6394.
 2001 06  75409·
 2001 07  82426·
 2001 08  63416.
 2001 09  4430.
 2001 10  16430.
 2001 11  37407.
 2001 12  62414·
 2002 01 89392·
 2002 02 1364.
 2002 03 64338.
 2002 04 55362·
 2002 05 11335.
 2002 06 12377.
 2002 07 75369.
 2002 08 85336.
 2002 09 46325·
 2002 10 55364·
 2002 11 8359·
 2002 12 23398.
 2003 01  93457·
 2003 02  62475·
 2003 03  26470·
 2003 04  63442.
 2003 05  79462.
 2003 06  89434·
 2003 07  17434.
 2003 08  23426·
 2003 09  53464.
 2003 10  18442.
 2003 11  93371·
 2003 12  47433.
 2004 01 91441.
 2004 02 55453·
 2004 03 93509·
 2004 04 5497·
 2004 05 93461.
 2004 06 33400.
 2004 07 79411·
 2004 08 92424·
 2004 09 85445·
 2004 10 7501.
 2004 11 40477.
 2004 12 25489·
 2005 01  18419·
 2005 02  61419·
 2005 03  88438.
 2005 04  50446·
 2005 05  66479.
 2005 06  99436.
 2005 07  61441.
 2005 08  35481.
 2005 09  30466.
 2005 10  54450·
 2005 11  22449·
 2005 12  75445.
 2006 01 35456·
 2006 02 83464.
 2006 03 59419.
 2006 04 88410·
 2006 05 32433·
 2006 06 67388·
 2006 07 85392·
 2006 08 19425.
 2006 09 96483.
 2006 10 12472·
 2006 11 37457·
 2006 12 37460.
 2007 01  27413.
 2007 02  51464.
 2007 03  79470·
 2007 04  36394.
 2007 05  52391.
 2007 06  40385·
 2007 07  99373.
 2007 08  35443.
 2007 09  20499.
 2007 10  61489.
 2007 11  9500.
 2007 12  79451·
 2008 01 6478.
 2008 02 20487·
 2008 03 47491.
 2008 04 36468.
 2008 05 12469.
 2008 06 49443·
 2008 07 76475.
 2008 08 1477·
 2008 09 62486.
 2008 10 4477.
 2008 11 85475·
 2008 12 93462.
 2009 01  7481·
 2009 02  68457·
 2009 03  85536.
 2009 04  55503.
 2009 05  22453.
 2009 06  47447·
 2009 07  15425·
 2009 08  58413·
 2009 09  7440·
 2009 10  72385·
 2009 11  38410.
 2009 12  95472·
 2010 01 89445.
 2010 02 0425.
 2010 03 41490.
 2010 04 85480.
 2010 05 17481·
 2010 06 13537·
 2010 07 38515·
 2010 08 72525·
 2010 09 67561·
 2010 10 18522.
 2010 11 66583.
 2010 12 27557·
 2011 01  40410·
 2011 02  46443·
 2011 03  89412·
 2011 04  42429.
 2011 05  59423.
 2011 06  53466·
 2011 07  93483.
 2011 08  37457.
 2011 09  77530.
 2011 10  22538·
 2011 11  93577·
 2011 12  56594·
 2012 01 68581.
 2012 02 58494·
 2012 03 26443.
 2012 04 68453.
 2012 05 33428.
 2012 06 95448·
 2012 07 54508.
 2012 08 68512.
 2012 09 97556.
 2012 10 87582·
 2012 11 66523.
 2012 12 74581·
 2013 01  11516.
 2013 02  18529·
 2013 03  75533·
 2013 04  30539·
 2013 05  49593·
 2013 06  93493·
 2013 07  18575·
 2013 08  7544·
 2013 09  13520·
 2013 10  44549·
 2013 11  59538.
 2013 12  97522.
 2014 01 28518·
 2014 02 28511·
 2014 03 85497·
 2014 04 20500·
 2014 05 43541·
 2014 06 27518.
 2014 07 9510.
 2014 08 21502.
 2014 09 35493.
 2014 10 47517.
 2014 11 70550·
 2014 12 68565·
 2015 01  4634·
 2015 02  19658·
 2015 03  29662·
 2015 04  55601·
 2015 05  76550·
 2015 06  1588.
 2015 07  75632.
 2015 08  2613·
 2015 09  0660·
 2015 10  74648·
 2015 11  21620·
 2015 12  53603.
 2016 01 52566·
 2016 02 45540·
 2016 03 4556.
 2016 04 76530.
 2016 05 32515.
 2016 06 45571·
 2016 07 88625.
 2016 08 67653.
 2016 09 67657·
 2016 10 30657.
 2016 11 60607·
 2016 12 43577·
 2017 01  5598·
 2017 02  84569·
 2017 03  34624·
 2017 04  51626·
 2017 05  23583.
 2017 06  12578.
 2017 07  47605·
 2017 08  57618.


 2017 09  22666·
 2017 10  45595.
 2017 11  62579·
 2017 12  57591·
 2018 01 25561·
 2018 02 42665·
 2018 03 66677·
 2018 04 70665.
 2018 05 85637·
 2018 06 82589.
 2018 07 74597·
 2018 08 39615·
 2018 09 75587·
 2018 10 73529·
 2018 11 23581·
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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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