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 Series Title: Employment Level: Mexican, Education, Training, and Library Occupations: NSA
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 2000 01 41307·
 2000 02 60288·
 2000 03 7305·
 2000 04 39262·
 2000 05 40283·
 2000 06 95271·
 2000 07 91248.
 2000 08 45271·
 2000 09 56286.
 2000 10 78246.
 2000 11 26247.
 2000 12 1271.
 2001 01  38298.
 2001 02  91306·
 2001 03  25339·
 2001 04  48331.
 2001 05  63316.
 2001 06  41309·
 2001 07  26309·
 2001 08  58295.
 2001 09  30316.
 2001 10  59278.
 2001 11  91230·
 2001 12  24276.
 2002 01 65269.
 2002 02 3300·
 2002 03 8307.
 2002 04 65274.
 2002 05 19276·
 2002 06 53274.
 2002 07 91277.
 2002 08 26322.
 2002 09 66349.
 2002 10 16356·
 2002 11 77342.
 2002 12 75329·
 2003 01  7347.
 2003 02  24291.
 2003 03  30279·
 2003 04  6298.
 2003 05  67306·
 2003 06  34301·
 2003 07  36250·
 2003 08  40316.
 2003 09  98304·
 2003 10  27335·
 2003 11  9336.
 2003 12  19312.
 2004 01 73275.
 2004 02 10264.
 2004 03 87291·
 2004 04 13351·
 2004 05 95403·
 2004 06 14356·
 2004 07 33341·
 2004 08 17295·
 2004 09 87333.
 2004 10 97295·
 2004 11 35271.
 2004 12 49281·
 2005 01  1287.
 2005 02  39293.
 2005 03  5330·
 2005 04  53348·
 2005 05  11390·
 2005 06  48331·
 2005 07  81326.
 2005 08  0344.
 2005 09  19294·
 2005 10  55350·
 2005 11  26308.
 2005 12  81324·
 2006 01 49349.
 2006 02 17341.
 2006 03 29399.
 2006 04 18360.
 2006 05 53400·
 2006 06 15343.
 2006 07 2318·
 2006 08 54299.
 2006 09 4323.
 2006 10 56395·
 2006 11 83377·
 2006 12 58383·
 2007 01  5370·
 2007 02  71337.
 2007 03  34343.
 2007 04  24363.
 2007 05  79373·
 2007 06  18327.
 2007 07  44345·
 2007 08  72395.
 2007 09  78421.
 2007 10  78400.
 2007 11  26370.
 2007 12  46356·
 2008 01 77348.
 2008 02 57361·
 2008 03 18363.
 2008 04 14382·
 2008 05 77368.
 2008 06 88328.
 2008 07 81307.
 2008 08 71324·
 2008 09 2377·
 2008 10 26357·
 2008 11 5366·
 2008 12 36403.
 2009 01  3419.
 2009 02  54435·
 2009 03  3429·
 2009 04  54432.
 2009 05  56417.
 2009 06  78373.
 2009 07  11318.
 2009 08  92303.
 2009 09  60333·
 2009 10  30299.
 2009 11  93383.
 2009 12  46472.
 2010 01 42509·
 2010 02 66497.
 2010 03 37470.
 2010 04 35391·
 2010 05 52344·
 2010 06 68366·
 2010 07 56284·
 2010 08 3286·
 2010 09 64348·
 2010 10 43359·
 2010 11 87426.
 2010 12 18445.
 2011 01  81462·
 2011 02  23427·
 2011 03  94396·
 2011 04  75367.
 2011 05  25326.
 2011 06  63313.
 2011 07  65296·
 2011 08  94330·
 2011 09  50356.
 2011 10  46396.
 2011 11  12402.
 2011 12  18428·
 2012 01 28468·
 2012 02 78481·
 2012 03 72420·
 2012 04 16459.
 2012 05 62451·
 2012 06 91435.
 2012 07 10375.
 2012 08 83436.
 2012 09 76410·
 2012 10 41445·
 2012 11 13457·
 2012 12 37510·
 2013 01  21494.
 2013 02  11463.
 2013 03  94458·
 2013 04  24432.
 2013 05  72529·
 2013 06  7463.
 2013 07  91503·
 2013 08  11492·
 2013 09  30510·
 2013 10  59484.
 2013 11  66436.
 2013 12  94501·
 2014 01 20487.
 2014 02 27483.
 2014 03 7518·
 2014 04 91489.
 2014 05 92497.
 2014 06 89452.
 2014 07 29481.
 2014 08 46472·
 2014 09 21476·
 2014 10 54462.
 2014 11 67447·
 2014 12 29460.
 2015 01  9465·
 2015 02  54535·
 2015 03  86555.
 2015 04  33537.
 2015 05  81564·
 2015 06  43522.
 2015 07  73469·
 2015 08  79471.
 2015 09  86469.
 2015 10  6511·
 2015 11  40533.
 2015 12  9463·
 2016 01 1461·
 2016 02 47495.
 2016 03 27501·
 2016 04 94484·
 2016 05 25593·
 2016 06 98496·
 2016 07 95470·
 2016 08 27464·
 2016 09 84498·
 2016 10 17499.
 2016 11 33517.
 2016 12 27554·
 2017 01  29535·
 2017 02  85544.
 2017 03  54556·
 2017 04  39525·


 2017 05  35523·
 2017 06  8485·
 2017 07  95491·
 2017 08  31498·
 2017 09  2534.
 2017 10  18570·
 2017 11  19586·
 2017 12  99605·
 2018 01 56622·
 2018 02 72622.
 2018 03 15569.
 2018 04 60594·
 2018 05 46561·
 2018 06 52510·
 2018 07 95484.
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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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