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 Series Title: Employment Level: Nonagriculture, Private Wage and Salary Workers, Cuban: NSA
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 2000 01 40576·
 2000 02 3614·
 2000 03 66575.
 2000 04 99500.
 2000 05 99554·
 2000 06 63554·
 2000 07 91588.
 2000 08 12586.
 2000 09 37593·
 2000 10 33573.
 2000 11 29614·
 2000 12 36553.
 2001 01  4509·
 2001 02  97572·
 2001 03  94532.
 2001 04  15508·
 2001 05  76563·
 2001 06  59508·
 2001 07  22561·
 2001 08  19498·
 2001 09  52464.
 2001 10  53443·
 2001 11  78469.
 2001 12  41502.
 2002 01 59484.
 2002 02 34525.
 2002 03 49507·
 2002 04 1464.
 2002 05 47496.
 2002 06 84462.
 2002 07 48522·
 2002 08 43490·
 2002 09 91468·
 2002 10 10464.
 2002 11 13448.
 2002 12 36502.
 2003 01  92459.
 2003 02  43455·
 2003 03  6479·
 2003 04  74525.
 2003 05  75548·
 2003 06  41465.
 2003 07  15511.
 2003 08  76504.
 2003 09  90503.
 2003 10  84551·
 2003 11  54556·
 2003 12  87563·
 2004 01 12533·
 2004 02 80530·
 2004 03 61575·
 2004 04 76551·
 2004 05 43571.
 2004 06 59586·
 2004 07 98583·
 2004 08 36589·
 2004 09 8617.
 2004 10 80651·
 2004 11 52692·
 2004 12 87641·
 2005 01  56618·
 2005 02  22624.
 2005 03  38563·
 2005 04  72540.
 2005 05  63571·
 2005 06  94578·
 2005 07  93569·
 2005 08  63615·
 2005 09  31610.
 2005 10  26603.
 2005 11  79644.
 2005 12  51657.
 2006 01 83635·
 2006 02 75658·
 2006 03 85598.
 2006 04 57655·
 2006 05 71637·
 2006 06 23635.
 2006 07 24645.
 2006 08 24621.
 2006 09 70642·
 2006 10 77601·
 2006 11 33675.
 2006 12 22716·
 2007 01  80660·
 2007 02  68654·
 2007 03  75684.
 2007 04  45769·
 2007 05  26745·
 2007 06  52801.
 2007 07  38755·
 2007 08  11646·
 2007 09  60683.
 2007 10  12667.
 2007 11  36741.
 2007 12  66752·
 2008 01 56728.
 2008 02 54705.
 2008 03 6701.
 2008 04 79659·
 2008 05 15684.
 2008 06 10682·
 2008 07 10716·
 2008 08 42676·
 2008 09 62662·
 2008 10 36662.
 2008 11 38703.
 2008 12 76745.
 2009 01  48746·
 2009 02  15680.
 2009 03  1611·
 2009 04  25627.
 2009 05  48614.
 2009 06  51598.
 2009 07  37609·
 2009 08  58629·
 2009 09  62604.
 2009 10  78609·
 2009 11  11669·
 2009 12  68694.
 2010 01 16705.
 2010 02 52724·
 2010 03 8698.
 2010 04 76695.
 2010 05 60727·
 2010 06 55731.
 2010 07 43707·
 2010 08 25723·
 2010 09 70640.
 2010 10 92694.
 2010 11 52595.
 2010 12 84634·
 2011 01  45716·
 2011 02  97742·
 2011 03  0741.
 2011 04  48704.
 2011 05  12770·
 2011 06  25719.
 2011 07  74722.
 2011 08  35724·
 2011 09  21704.
 2011 10  58704·
 2011 11  86647.
 2011 12  90582.
 2012 01 47659.


 2012 02 2733.
 2012 03 76829.
 2012 04 83803.
 2012 05 90848·
 2012 06 91820.
 2012 07 4831.
 2012 08 6953·
 2012 09 76871·
 2012 10 79891.
 2012 11 61836·
 2012 12 80760·
 2013 01  56778.
 2013 02  49670.
 2013 03  57710·
 2013 04  47680·
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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
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