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 Series Title: Total At Work in Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Part Time: NSA
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 2012 04 53529·
 2012 03 45554·
 2012 02 75570.
 2012 01 45508·
 2011 12  81556.
 2011 11  13540.
 2011 10  72476·
 2011 09  19513.
 2011 08  95450.
 2011 07  99461·
 2011 06  89468.
 2011 05  11459.
 2011 04  43504.
 2011 03  83455·
 2011 02  39468·
 2011 01  64450.
 2010 12 3447.
 2010 11 72489·
 2010 10 59450·
 2010 09 48464.
 2010 08 74497.
 2010 07 99454·
 2010 06 12475.
 2010 05 56497.
 2010 04 82493·
 2010 03 20509·
 2010 02 87422·
 2010 01 9393.
 2009 12  76456·
 2009 11  16463·
 2009 10  95483·
 2009 09  50500.
 2009 08  33468·
 2009 07  94514·
 2009 06  76556·
 2009 05  48547.
 2009 04  53531·
 2009 03  85491·
 2009 02  91527·
 2009 01  98527.
 2008 12 61517.
 2008 11 47551·
 2008 10 30562·
 2008 09 18560·
 2008 08 8515·
 2008 07 61506.
 2008 06 4485.
 2008 05 52487·
 2008 04 69541.
 2008 03 34499·
 2008 02 51479·
 2008 01 71528.
 2007 12  44526.
 2007 11  97560·
 2007 10  35521·
 2007 09  67542·
 2007 08  59448·
 2007 07  7461·
 2007 06  44465·
 2007 05  61513.
 2007 04  64535.
 2007 03  45464.
 2007 02  89551·
 2007 01  96531·
 2006 12 34549.
 2006 11 19546.
 2006 10 10564.
 2006 09 41527.
 2006 08 71500·
 2006 07 59432.
 2006 06 69468·
 2006 05 91490.
 2006 04 99457·
 2006 03 23480.
 2006 02 53516·
 2006 01 64518·
 2005 12  68469.
 2005 11  92498.
 2005 10  77551.
 2005 09  5526·
 2005 08  55455.
 2005 07  73511.
 2005 06  77531·
 2005 05  84528·
 2005 04  59593·
 2005 03  97584·
 2005 02  16548·
 2005 01  93460·
 2004 12 7507.
 2004 11 21505.
 2004 10 84455·
 2004 09 52506·
 2004 08 47490·
 2004 07 27467.
 2004 06 91551·
 2004 05 6535·
 2004 04 56534.
 2004 03 21535·
 2004 02 77495.
 2004 01 23493·
 2003 12  34458·
 2003 11  35516.
 2003 10  4583.
 2003 09  98540·
 2003 08  7550.
 2003 07  26505·
 2003 06  60578·
 2003 05  50505.
 2003 04  25497·
 2003 03  75555.
 2003 02  58512·
 2003 01  23457·
 2002 12 62484·
 2002 11 88500·
 2002 10 36481·
 2002 09 86483·
 2002 08 21524·
 2002 07 99426.
 2002 06 56516.
 2002 05 33518.
 2002 04 25582.
 2002 03 62575.
 2002 02 7606.
 2002 01 83580·
 2001 12  26640·
 2001 11  60628·
 2001 10  2605·
 2001 09  81596.
 2001 08  99528·
 2001 07  0540·
 2001 06  77535·
 2001 05  95576·
 2001 04  43614·
 2001 03  13664·
 2001 02  98699.
 2001 01  20660.
 2000 12 86642.
 2000 11 55672·
 2000 10 50682.
 2000 09 76685.
 2000 08 76533·
 2000 07 9542.
 2000 06 47563·
 2000 05 5634·
 2000 04 90633.
 2000 03 81673.
 2000 02 28636.
 2000 01 77663.
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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 Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Part 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

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