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 Series Title: Employment Level: Mexican, Education, Training, and Library Occupations: NSA
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 2000 01 1307.
 2000 02 0288.
 2000 03 56305.
 2000 04 33262·
 2000 05 22283.
 2000 06 14271.
 2000 07 2248·
 2000 08 10271·
 2000 09 41286·
 2000 10 58246·
 2000 11 81247.
 2000 12 17271·
 2001 01  8298·
 2001 02  14306·
 2001 03  5339.
 2001 04  98331·
 2001 05  99316·
 2001 06  87309.
 2001 07  12309·
 2001 08  21295.
 2001 09  13316.
 2001 10  10278.
 2001 11  65230.
 2001 12  83276.
 2002 01 76269.
 2002 02 39300·
 2002 03 51307.
 2002 04 1274·
 2002 05 39276.
 2002 06 57274.
 2002 07 84277.
 2002 08 19322.
 2002 09 77349.
 2002 10 68356.
 2002 11 2342.
 2002 12 7329.
 2003 01  90347·
 2003 02  6291.
 2003 03  67279·
 2003 04  59298.
 2003 05  4306.
 2003 06  27301·
 2003 07  67250·
 2003 08  94316·
 2003 09  68304·
 2003 10  13335.
 2003 11  15336.
 2003 12  56312·
 2004 01 60275·
 2004 02 69264·
 2004 03 50291·
 2004 04 15351.
 2004 05 78403.
 2004 06 28356.
 2004 07 33341.
 2004 08 64295·
 2004 09 49333.
 2004 10 47295·
 2004 11 53271·
 2004 12 23281·
 2005 01  22287.
 2005 02  7293.
 2005 03  23330·
 2005 04  35348·
 2005 05  73390.
 2005 06  14331·
 2005 07  81326·
 2005 08  70344.
 2005 09  3294·
 2005 10  1350·
 2005 11  89308.
 2005 12  23324.
 2006 01 36349·
 2006 02 23341.
 2006 03 36399·
 2006 04 11360·
 2006 05 24400·
 2006 06 64343·
 2006 07 34318·
 2006 08 80299·
 2006 09 42323.
 2006 10 28395.
 2006 11 21377·
 2006 12 98383.
 2007 01  89370·
 2007 02  49337.
 2007 03  60343·
 2007 04  60363.
 2007 05  92373.
 2007 06  81327·
 2007 07  39345.
 2007 08  84395.
 2007 09  0421.
 2007 10  9400.
 2007 11  71370.
 2007 12  16356·
 2008 01 90348.
 2008 02 37361·
 2008 03 94363.
 2008 04 23382·
 2008 05 61368·
 2008 06 97328.
 2008 07 70307.
 2008 08 1324.
 2008 09 40377·
 2008 10 46357.
 2008 11 88366·
 2008 12 67403.
 2009 01  75419·
 2009 02  67435·
 2009 03  60429·
 2009 04  68432·
 2009 05  44417.
 2009 06  64373.
 2009 07  25318.
 2009 08  70303·
 2009 09  45333·
 2009 10  71299.
 2009 11  45383·
 2009 12  70472.
 2010 01 6509.
 2010 02 43497·
 2010 03 7470.
 2010 04 85391·
 2010 05 75344.
 2010 06 62366.
 2010 07 26284·
 2010 08 61286·
 2010 09 28348.
 2010 10 36359.
 2010 11 39426·
 2010 12 65445·
 2011 01  66462·
 2011 02  95427.
 2011 03  9396·
 2011 04  93367·
 2011 05  14326.
 2011 06  96313·
 2011 07  23296·
 2011 08  63330·
 2011 09  23356.
 2011 10  21396.
 2011 11  95402.
 2011 12  20428.
 2012 01 67468·
 2012 02 77481·
 2012 03 62420.
 2012 04 32459.
 2012 05 48451.
 2012 06 95435·
 2012 07 88375.
 2012 08 95436·
 2012 09 90410.
 2012 10 31445.
 2012 11 59457·
 2012 12 26510.
 2013 01  45494.
 2013 02  68463.
 2013 03  90458.
 2013 04  70432.
 2013 05  86529.
 2013 06  12463.
 2013 07  18503·
 2013 08  97492·
 2013 09  16510.
 2013 10  95484·
 2013 11  6436·
 2013 12  0501.
 2014 01 59487.
 2014 02 73483.
 2014 03 41518·
 2014 04 98489.
 2014 05 65497·
 2014 06 28452·
 2014 07 38481.
 2014 08 37472.
 2014 09 11476.
 2014 10 67462.
 2014 11 33447·
 2014 12 84460.
 2015 01  96465·
 2015 02  21535·
 2015 03  89555.
 2015 04  34537.
 2015 05  45564·
 2015 06  47522.
 2015 07  94469.
 2015 08  6471.
 2015 09  10469.
 2015 10  26511·
 2015 11  62533·
 2015 12  44463·
 2016 01 66461.
 2016 02 66495·
 2016 03 30501·
 2016 04 18484·
 2016 05 12593.
 2016 06 97496.
 2016 07 61470.
 2016 08 21464.
 2016 09 74498.
 2016 10 77499·
 2016 11 43517.
 2016 12 73554.
 2017 01  4535.
 2017 02  87544·
 2017 03  89556.
 2017 04  18525·
 2017 05  75523.
 2017 06  34485·
 2017 07  36491.
 2017 08  24498·
 2017 09  89534·
 2017 10  49570·
 2017 11  48586·


 2017 12  87605.
 2018 01 71622·
 2018 02 89622·
 2018 03 13569.
 2018 04 25594·
 2018 05 72561.
 2018 06 36510.
 2018 07 42484.
 2018 08 82461.
 2018 09 65504·
 2018 10 96548.
 2018 11 76573.
 2018 12 28627·
 2019 01  53621.
 2019 02  1600.
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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: Mexican, Education, Training, and Library Occupations: 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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