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 Series Title: Employment Level: Production Occupations, Cuban: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 5071·
 2012 03 1061·
 2012 02 1051·
 2012 01 3963·
 2011 12  1339·
 2011 11  4735·
 2011 10  6047·
 2011 09  133.
 2011 08  9841.
 2011 07  3834.
 2011 06  6733·
 2011 05  1732.
 2011 04  5647.
 2011 03  6648·
 2011 02  4548·
 2011 01  3360.
 2010 12 6254.
 2010 11 3630.
 2010 10 3048.
 2010 09 1642.
 2010 08 1763.
 2010 07 8252.
 2010 06 8642·
 2010 05 6226.
 2010 04 4633·
 2010 03 5842·
 2010 02 152.
 2010 01 9049.
 2009 12  030·
 2009 11  4835·
 2009 10  8840·
 2009 09  4343.
 2009 08  5448.
 2009 07  5745.
 2009 06  8444.
 2009 05  9137.
 2009 04  827·
 2009 03  1740.
 2009 02  5238·
 2009 01  2861.
 2008 12 8848·
 2008 11 8558·
 2008 10 8161.
 2008 09 7348·
 2008 08 4446·
 2008 07 4348.
 2008 06 8342.
 2008 05 7058·
 2008 04 5161.
 2008 03 9753·
 2008 02 9637.
 2008 01 8850·
 2007 12  1054.
 2007 11  7865.
 2007 10  8369·
 2007 09  2261.
 2007 08  4753·
 2007 07  4468.
 2007 06  3259·
 2007 05  9046·
 2007 04  1154.
 2007 03  7661·
 2007 02  5560.
 2007 01  3755.
 2006 12 7941·
 2006 11 8128.
 2006 10 9135·
 2006 09 3244·
 2006 08 4962·
 2006 07 8955.
 2006 06 348.
 2006 05 6945.
 2006 04 4950.
 2006 03 5965·
 2006 02 7861·
 2006 01 6858.
 2005 12  2847.
 2005 11  7234·
 2005 10  2939.
 2005 09  7138·
 2005 08  6155·
 2005 07  3460·
 2005 06  9548·
 2005 05  4948.
 2005 04  4924.
 2005 03  7643·
 2005 02  3849.
 2005 01  9658.
 2004 12 1858·
 2004 11 5751.
 2004 10 4546·
 2004 09 3040.
 2004 08 1842·
 2004 07 5640.
 2004 06 3140·
 2004 05 9641·
 2004 04 2442·
 2004 03 8140·
 2004 02 3237·
 2004 01 6353.
 2003 12  3651·
 2003 11  6473.
 2003 10  1256.
 2003 09  2544·
 2003 08  8055·
 2003 07  6043.
 2003 06  5850.
 2003 05  260·
 2003 04  757.
 2003 03  5349.
 2003 02  8434.
 2003 01  3736.
 2002 12 9245·
 2002 11 4854.
 2002 10 2751·
 2002 09 053.
 2002 08 3452·
 2002 07 7735.
 2002 06 5130.
 2002 05 8429·
 2002 04 6044.
 2002 03 9630·
 2002 02 4237·
 2002 01 944·
 2001 12  2042·
 2001 11  8841·
 2001 10  1443.
 2001 09  1937·
 2001 08  9028.
 2001 07  5921·
 2001 06  619·
 2001 05  8353·
 2001 04  6962·
 2001 03  4067.
 2001 02  7974·
 2001 01  9650·
 2000 12 8368·
 2000 11 8975.
 2000 10 2272·
 2000 09 7673.
 2000 08 8259·
 2000 07 8648.
 2000 06 4738·
 2000 05 6754.
 2000 04 4357.
 2000 03 3981.
 2000 02 9396·
 2000 01 4068·
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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: Production Occupations, Cuban: 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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