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 Series Title: Total At Work in Nonagricultural Industries, 18-19 years Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Full Time: NSA
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 2012 04 268·
 2012 03 5993.
 2012 02 6160·
 2012 01 7274·
 2011 12  8351.
 2011 11  83103·
 2011 10  6790.
 2011 09  5877·
 2011 08  61125.
 2011 07  3696·
 2011 06  5126·
 2011 05  7586·
 2011 04  8793·
 2011 03  163·
 2011 02  8986·
 2011 01  65110·
 2010 12 3777.
 2010 11 84110·
 2010 10 5578·
 2010 09 9871·
 2010 08 11106·
 2010 07 16130·
 2010 06 67111·
 2010 05 6963.
 2010 04 3371·
 2010 03 5562·
 2010 02 13105·
 2010 01 9632·
 2009 12  5581·
 2009 11  82124.
 2009 10  577.
 2009 09  24155.
 2009 08  52113.
 2009 07  3138.
 2009 06  82130·
 2009 05  21106.
 2009 04  2580.
 2009 03  5065.
 2009 02  6109.
 2009 01  8275·
 2008 12 9892.
 2008 11 80130·
 2008 10 6691.
 2008 09 27104·
 2008 08 22168·
 2008 07 75167.
 2008 06 74153·
 2008 05 99110·
 2008 04 7378·
 2008 03 4198·
 2008 02 68120.
 2008 01 6688·
 2007 12  51147·
 2007 11  10128·
 2007 10  10105·
 2007 09  25101.
 2007 08  81204.
 2007 07  38153·
 2007 06  90184·
 2007 05  93125.
 2007 04  1397·
 2007 03  782·
 2007 02  19150·
 2007 01  15103.
 2006 12 24119.
 2006 11 23137·
 2006 10 36106·
 2006 09 59123.
 2006 08 13197.
 2006 07 19245·
 2006 06 4180·
 2006 05 21126·
 2006 04 6144·
 2006 03 51116.
 2006 02 10145·
 2006 01 19126.
 2005 12  53109.
 2005 11  1156.
 2005 10  67152.
 2005 09  97126.
 2005 08  30170.
 2005 07  75174·
 2005 06  14161.
 2005 05  24146·
 2005 04  3794.
 2005 03  5129·
 2005 02  12131.
 2005 01  96133·
 2004 12 99128.
 2004 11 47145.
 2004 10 51149·
 2004 09 29160.
 2004 08 67253.
 2004 07 84204·
 2004 06 42225·
 2004 05 70163.
 2004 04 16102.
 2004 03 21105·
 2004 02 24144·
 2004 01 87107·
 2003 12  47119.
 2003 11  91123·
 2003 10  60122.
 2003 09  74165.
 2003 08  84201.
 2003 07  49213·
 2003 06  37191·
 2003 05  50147.
 2003 04  79129·
 2003 03  79113.
 2003 02  69140·
 2003 01  6099·
 2002 12 7131·
 2002 11 86162·
 2002 10 93169·
 2002 09 72113·
 2002 08 68210·
 2002 07 2187·
 2002 06 72162·
 2002 05 81129·
 2002 04 88145·
 2002 03 84131.
 2002 02 9499·
 2002 01 684.
 2001 12  16137.
 2001 11  12148·
 2001 10  72181·
 2001 09  90210·
 2001 08  29228·
 2001 07  95266·
 2001 06  45262.
 2001 05  4137·
 2001 04  26169·
 2001 03  64173.
 2001 02  74164·
 2001 01  41157·
 2000 12 33187·
 2000 11 74184·
 2000 10 47188.
 2000 09 21198·
 2000 08 1290.
 2000 07 9271·
 2000 06 78260·
 2000 05 87203.
 2000 04 5201.
 2000 03 74117·
 2000 02 5159·
 2000 01 9139.
 1999 12  45162.
 1999 11  1174·
 1999 10  90179.
 1999 09  80215·
 1999 08  47225·
 1999 07  47234·
 1999 06  21238.
 1999 05  21187.
 1999 04  61143.
 1999 03  93215·
 1999 02  11141.
 1999 01  75192.
 1998 12 62169·
 1998 11 47223.
 1998 10 99155·
 1998 09 11565.
 1998 08 51217.
 1998 07 39273·
 1998 06 46201·
 1998 05 23167·
 1998 04 53139·
 1998 03 26177.
 1998 02 41122·
 1998 01 31133.
 1997 12  19156·
 1997 11  91153·
 1997 10  96191·
 1997 09  79162.
 1997 08  24299.
 1997 07  39192.
 1997 06  50212·
 1997 05  35128.
 1997 04  68155.
 1997 03  2178·
 1997 02  66143·
 1997 01  94153·
 1996 12 77158·
 1996 11 37122.
 1996 10 31164.
 1996 09 76181·
 1996 08 2231·
 1996 07 26238·
 1996 06 58213.
 1996 05 24147.
 1996 04 16105.
 1996 03 75115.
 1996 02 86143·
 1996 01 7299.
 1995 12  22133.
 1995 11  1699·
 1995 10  76116·
 1995 09  19161·
 1995 08  44249.
 1995 07  5175.
 1995 06  17191.
 1995 05  81164·
 1995 04  33188.
 1995 03  24120.
 1995 02  22168·
 1995 01  35136.
 1994 12 64111·
 1994 11 8194.
 1994 10 29150·
 1994 09 51128.
 1994 08 37177.
 1994 07 5227.
 1994 06 0169.
 1994 05 2390·
 1994 04 78100·
 1994 03 55116.
 1994 02 24233.
 1994 01 70139.
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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: Total At Work in Nonagricultural Industries, 18-19 years Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Full Time: 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

Make charts for Okun's Law and Phillip's Curve

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