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 Series Title: Employment Level: Nonagriculture, Private Wage and Salary Workers, Cuban: NSA
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 2012 04 67803·
 2012 03 33829.
 2012 02 65733.
 2012 01 83659·
 2011 12  33582.
 2011 11  63647.
 2011 10  22704.
 2011 09  90704·
 2011 08  28724.
 2011 07  53722.
 2011 06  42719.
 2011 05  59770·
 2011 04  2704·
 2011 03  86741.
 2011 02  39742.
 2011 01  32716.
 2010 12 31634·
 2010 11 68595·
 2010 10 50694·
 2010 09 81640.
 2010 08 14723.
 2010 07 31707.
 2010 06 38731.
 2010 05 98727.
 2010 04 78695·
 2010 03 31698·
 2010 02 91724.
 2010 01 2705·
 2009 12  73694·
 2009 11  51669.
 2009 10  21609·
 2009 09  39604·
 2009 08  75629·
 2009 07  96609·
 2009 06  68598·
 2009 05  76614.
 2009 04  82627.
 2009 03  99611.
 2009 02  93680.
 2009 01  9746·
 2008 12 22745.
 2008 11 16703·
 2008 10 85662·
 2008 09 56662·
 2008 08 44676·
 2008 07 29716.
 2008 06 56682·
 2008 05 61684.
 2008 04 24659·
 2008 03 44701.
 2008 02 44705.
 2008 01 94728.
 2007 12  62752.
 2007 11  93741.
 2007 10  13667.
 2007 09  48683·
 2007 08  83646·
 2007 07  33755.
 2007 06  50801.
 2007 05  44745.
 2007 04  38769·
 2007 03  45684·
 2007 02  68654.
 2007 01  24660.
 2006 12 3716·
 2006 11 36675·
 2006 10 4601.
 2006 09 59642·
 2006 08 77621.
 2006 07 38645·
 2006 06 23635·
 2006 05 42637.
 2006 04 87655·
 2006 03 7598·
 2006 02 11658·
 2006 01 92635·
 2005 12  82657.
 2005 11  25644.
 2005 10  81603·
 2005 09  54610·
 2005 08  37615·
 2005 07  98569.
 2005 06  72578.
 2005 05  96571·
 2005 04  54540·
 2005 03  58563·
 2005 02  47624·
 2005 01  14618.
 2004 12 58641·
 2004 11 62692·
 2004 10 92651.
 2004 09 25617.
 2004 08 99589.
 2004 07 92583.
 2004 06 22586·
 2004 05 74571.
 2004 04 52551·
 2004 03 53575.
 2004 02 74530.
 2004 01 31533.
 2003 12  18563·
 2003 11  79556·
 2003 10  10551·
 2003 09  89503·
 2003 08  22504·
 2003 07  24511·
 2003 06  20465·
 2003 05  68548·
 2003 04  15525·
 2003 03  72479.
 2003 02  15455.
 2003 01  11459.
 2002 12 72502·
 2002 11 28448·
 2002 10 33464·
 2002 09 88468·
 2002 08 93490.
 2002 07 25522.
 2002 06 39462·
 2002 05 93496·
 2002 04 4464.
 2002 03 18507.
 2002 02 18525.
 2002 01 45484·
 2001 12  55502.
 2001 11  90469.
 2001 10  85443.
 2001 09  89464.
 2001 08  22498·
 2001 07  47561.
 2001 06  77508.
 2001 05  93563·
 2001 04  4508.
 2001 03  21532·
 2001 02  56572.
 2001 01  51509.
 2000 12 28553·
 2000 11 69614·
 2000 10 12573.
 2000 09 83593.
 2000 08 44586.
 2000 07 71588.
 2000 06 57554.
 2000 05 33554·
 2000 04 27500·
 2000 03 36575.
 2000 02 28614.
 2000 01 70576·
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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: Nonagriculture, Private Wage and Salary Workers, 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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