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 Series Title: Employment Level: Cuban, Education, Training, and Library Occupations: NSA
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 2012 04 9852·
 2012 03 5865·
 2012 02 2364.
 2012 01 3849.
 2011 12  7560·
 2011 11  564·
 2011 10  469.
 2011 09  7687.
 2011 08  673·
 2011 07  3865·
 2011 06  7360·
 2011 05  9953·
 2011 04  4244.
 2011 03  3862.
 2011 02  4448·
 2011 01  5340·
 2010 12 5755·
 2010 11 1354·
 2010 10 5355·
 2010 09 759·
 2010 08 5248·
 2010 07 9442·
 2010 06 6540.
 2010 05 5442.
 2010 04 5227.
 2010 03 3729·
 2010 02 6722·
 2010 01 1328·
 2009 12  933·
 2009 11  2438.
 2009 10  7244·
 2009 09  3034·
 2009 08  9627·
 2009 07  6232·
 2009 06  1730·
 2009 05  7242·
 2009 04  1544·
 2009 03  8340.
 2009 02  6641·
 2009 01  3540·
 2008 12 9129·
 2008 11 4228·
 2008 10 731.
 2008 09 3725.
 2008 08 7420.
 2008 07 2328·
 2008 06 5238.
 2008 05 2241.
 2008 04 4045·
 2008 03 3056·
 2008 02 3954·
 2008 01 6050.
 2007 12  9052·
 2007 11  9739·
 2007 10  3138.
 2007 09  4526.
 2007 08  4730.
 2007 07  7936·
 2007 06  1734·
 2007 05  9637·
 2007 04  6445·
 2007 03  5943.
 2007 02  855.
 2007 01  5658·
 2006 12 1568·
 2006 11 4343.
 2006 10 4437.
 2006 09 9628·
 2006 08 131·
 2006 07 6228.
 2006 06 8624.
 2006 05 920.
 2006 04 4618·
 2006 03 7321.
 2006 02 2330.
 2006 01 1423.
 2005 12  330·
 2005 11  5921.
 2005 10  6737.
 2005 09  5636·
 2005 08  4526·
 2005 07  2524.
 2005 06  5713·
 2005 05  413·
 2005 04  737.
 2005 03  225.
 2005 02  5635·
 2005 01  5124·
 2004 12 1324·
 2004 11 4913·
 2004 10 5028.
 2004 09 1722.
 2004 08 1531.
 2004 07 4647·
 2004 06 5436·
 2004 05 4738·
 2004 04 5523·
 2004 03 031.
 2004 02 420.
 2004 01 917·
 2003 12  3222·
 2003 11  4314·
 2003 10  6521.
 2003 09  9722·
 2003 08  7319·
 2003 07  3243·
 2003 06  2337.
 2003 05  3157·
 2003 04  2744·
 2003 03  4725·
 2003 02  9228·
 2003 01  5422.
 2002 12 7031·
 2002 11 9631·
 2002 10 921.
 2002 09 3627.
 2002 08 242·
 2002 07 1040.
 2002 06 3833·
 2002 05 7134.
 2002 04 5022·
 2002 03 4625.
 2002 02 6636·
 2002 01 7923.
 2001 12  6222·
 2001 11  8521.
 2001 10  726.
 2001 09  235.
 2001 08  1539·
 2001 07  3544·
 2001 06  9727.
 2001 05  1132.
 2001 04  923.
 2001 03  2728.
 2001 02  132·
 2001 01  9916·
 2000 12 6924·
 2000 11 1721.
 2000 10 630·
 2000 09 8638·
 2000 08 4647·
 2000 07 8745·
 2000 06 2426·
 2000 05 1635.
 2000 04 1647·
 2000 03 4445.
 2000 02 9450·
 2000 01 5837·
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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: Cuban, 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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