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 Series Title: Employment Level: Mexican, Education, Training, and Library Occupations: NSA
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 2012 04 43459.
 2012 03 44420·
 2012 02 4481·
 2012 01 80468.
 2011 12  57428.
 2011 11  18402.
 2011 10  52396·
 2011 09  75356·
 2011 08  86330·
 2011 07  40296·
 2011 06  51313.
 2011 05  20326.
 2011 04  83367·
 2011 03  92396·
 2011 02  14427.
 2011 01  57462.
 2010 12 22445·
 2010 11 81426.
 2010 10 79359·
 2010 09 55348·
 2010 08 3286·
 2010 07 39284.
 2010 06 8366·
 2010 05 10344.
 2010 04 52391·
 2010 03 21470.
 2010 02 89497·
 2010 01 40509.
 2009 12  19472.
 2009 11  10383·
 2009 10  36299.
 2009 09  90333·
 2009 08  80303·
 2009 07  12318.
 2009 06  87373·
 2009 05  28417.
 2009 04  36432·
 2009 03  59429.
 2009 02  3435·
 2009 01  49419.
 2008 12 10403·
 2008 11 8366·
 2008 10 73357.
 2008 09 71377·
 2008 08 55324.
 2008 07 40307.
 2008 06 11328.
 2008 05 40368·
 2008 04 44382.
 2008 03 62363·
 2008 02 53361.
 2008 01 23348·
 2007 12  80356·
 2007 11  6370·
 2007 10  63400·
 2007 09  16421.
 2007 08  86395.
 2007 07  28345·
 2007 06  28327·
 2007 05  37373.
 2007 04  14363.
 2007 03  9343.
 2007 02  62337·
 2007 01  30370·
 2006 12 38383·
 2006 11 57377.
 2006 10 3395.
 2006 09 66323.
 2006 08 60299·
 2006 07 3318·
 2006 06 12343.
 2006 05 36400.
 2006 04 5360.
 2006 03 4399.
 2006 02 79341.
 2006 01 62349·
 2005 12  22324·
 2005 11  41308.
 2005 10  16350.
 2005 09  87294.
 2005 08  88344.
 2005 07  21326·
 2005 06  61331·
 2005 05  80390.
 2005 04  2348·
 2005 03  75330·
 2005 02  76293·
 2005 01  36287·
 2004 12 91281·
 2004 11 61271.
 2004 10 51295·
 2004 09 73333·
 2004 08 4295.
 2004 07 60341.
 2004 06 96356·
 2004 05 35403·
 2004 04 17351.
 2004 03 79291·
 2004 02 52264.
 2004 01 92275.
 2003 12  31312·
 2003 11  48336·
 2003 10  80335·
 2003 09  39304.
 2003 08  70316.
 2003 07  26250.
 2003 06  68301·
 2003 05  93306.
 2003 04  85298·
 2003 03  93279.
 2003 02  29291.
 2003 01  99347·
 2002 12 52329·
 2002 11 56342.
 2002 10 1356·
 2002 09 27349·
 2002 08 71322.
 2002 07 47277.
 2002 06 48274·
 2002 05 70276.
 2002 04 67274.
 2002 03 22307.
 2002 02 56300.
 2002 01 48269.
 2001 12  90276.
 2001 11  63230.
 2001 10  39278.
 2001 09  4316·
 2001 08  17295.
 2001 07  77309·
 2001 06  34309·
 2001 05  9316·
 2001 04  47331·
 2001 03  96339.
 2001 02  5306.
 2001 01  55298.
 2000 12 6271·
 2000 11 75247.
 2000 10 40246.
 2000 09 63286.
 2000 08 44271.
 2000 07 97248·
 2000 06 50271.
 2000 05 76283·
 2000 04 37262·
 2000 03 68305·
 2000 02 75288.
 2000 01 63307.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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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