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 Series Title: Persons At Work in Nondurable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 52817.
 2012 03 66661·
 2012 02 76725·
 2012 01 8633·
 2011 12  15658.
 2011 11  50824.
 2011 10  70654·
 2011 09  60572·
 2011 08  88676.
 2011 07  76700·
 2011 06  9656.
 2011 05  56601·
 2011 04  21635.
 2011 03  26520·
 2011 02  6634·
 2011 01  37848.
 2010 12 91697.
 2010 11 7804.
 2010 10 98630.
 2010 09 75678.
 2010 08 97598·
 2010 07 50610.
 2010 06 49641·
 2010 05 62683.
 2010 04 64665.
 2010 03 11669·
 2010 02 46814.
 2010 01 18600·
 2009 12  43662.
 2009 11  73699·
 2009 10  2775.
 2009 09  881664.
 2009 08  10688·
 2009 07  42749·
 2009 06  54772.
 2009 05  39750·
 2009 04  65769·
 2009 03  50715·
 2009 02  67759·
 2009 01  67698·
 2008 12 33648.
 2008 11 53766.
 2008 10 28754.
 2008 09 91654.
 2008 08 64710·
 2008 07 33688.
 2008 06 49576·
 2008 05 54576.
 2008 04 35575·
 2008 03 97621.
 2008 02 69746·
 2008 01 26620·
 2007 12  45592.
 2007 11  76579·
 2007 10  50628.
 2007 09  1551·
 2007 08  19650.
 2007 07  27589.
 2007 06  81611.
 2007 05  98686·
 2007 04  9701.
 2007 03  31551.
 2007 02  74712.
 2007 01  62706·
 2006 12 89659.
 2006 11 96688.
 2006 10 67686·
 2006 09 60565·
 2006 08 61679·
 2006 07 52544·
 2006 06 23614.
 2006 05 89575·
 2006 04 48888.
 2006 03 57627·
 2006 02 29728·
 2006 01 66656·
 2005 12  3548.
 2005 11  92694·
 2005 10  0699.
 2005 09  35592·
 2005 08  99664.
 2005 07  64709.
 2005 06  73644.
 2005 05  67728.
 2005 04  38715.
 2005 03  4657·
 2005 02  10744·
 2005 01  55672·
 2004 12 45622·
 2004 11 69741·
 2004 10 99692·
 2004 09 18690.
 2004 08 70682.
 2004 07 41655·
 2004 06 54653·
 2004 05 0692·
 2004 04 89732·
 2004 03 26687·
 2004 02 12666·
 2004 01 71726.
 2003 12  2651·
 2003 11  56723·
 2003 10  36815.
 2003 09  24761·
 2003 08  35791.
 2003 07  88773.
 2003 06  14695·
 2003 05  80722.
 2003 04  37681·
 2003 03  3745·
 2003 02  59811.
 2003 01  81712.
 2002 12 84785·
 2002 11 8722·
 2002 10 9660·
 2002 09 97585.
 2002 08 78719.
 2002 07 34625.
 2002 06 27671·
 2002 05 23651·
 2002 04 42714.
 2002 03 38763.
 2002 02 0856.
 2002 01 77766.
 2001 12  27769·
 2001 11  3781·
 2001 10  42766.
 2001 09  3828.
 2001 08  10759·
 2001 07  33773·
 2001 06  90730·
 2001 05  71756.
 2001 04  891180.
 2001 03  62764.
 2001 02  8853·
 2001 01  75758.
 2000 12 92772.
 2000 11 46747.
 2000 10 82874·
 2000 09 33797.
 2000 08 67778.
 2000 07 65783·
 2000 06 27783.
 2000 05 91717.
 2000 04 90723·
 2000 03 28846·
 2000 02 80819·
 2000 01 17819·
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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: Persons At Work in Nondurable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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