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 Series Title: Employment: Nonagriculture Private wage and salary workers in Manufacturing industry, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 719992·
 2012 03 269952.
 2012 02 5610070.
 2012 01 3210025.
 2011 12  4910216·
 2011 11  510036.
 2011 10  010101·
 2011 09  6310151·
 2011 08  59940·
 2011 07  9410022·
 2011 06  5710043.
 2011 05  69848·
 2011 04  919911·
 2011 03  769675.
 2011 02  409752·
 2011 01  49971·
 2010 12 8210044·
 2010 11 5810033.
 2010 10 8810128.
 2010 09 279944.
 2010 08 779938.
 2010 07 7010126.
 2010 06 639806·
 2010 05 689899.
 2010 04 39776·
 2010 03 709512.
 2010 02 529542.
 2010 01 469302.
 2009 12  109293.
 2009 11  399449.
 2009 10  709652.
 2009 09  79838·
 2009 08  729963·
 2009 07  8310009·
 2009 06  539916.
 2009 05  199953.
 2009 04  929869·
 2009 03  359912·
 2009 02  6510069·
 2009 01  7610033.
 2008 12 9310457.
 2008 11 5210667.
 2008 10 9310872.
 2008 09 9711017.
 2008 08 2711186·
 2008 07 1411157·
 2008 06 5111071·
 2008 05 2611066·
 2008 04 6811119.
 2008 03 2811092.
 2008 02 7611035·
 2008 01 3310823·
 2007 12  1811302.
 2007 11  2611308.
 2007 10  3211251·
 2007 09  1211229·
 2007 08  111139·
 2007 07  6511280·
 2007 06  511028·
 2007 05  8211153.
 2007 04  6810931·
 2007 03  2711004·
 2007 02  1011046.
 2007 01  8610835·
 2006 12 9511185·
 2006 11 1710976.
 2006 10 8311323·
 2006 09 9511410·
 2006 08 8111291.
 2006 07 6811259.
 2006 06 8811268·
 2006 05 211089·
 2006 04 5211120·
 2006 03 3611484.
 2006 02 1311291.
 2006 01 2711489.
 2005 12  5811343·
 2005 11  311109.
 2005 10  7011149·
 2005 09  1311087·
 2005 08  7610986·
 2005 07  7511160.
 2005 06  9811279·
 2005 05  3010982.
 2005 04  511019·
 2005 03  8511165.
 2005 02  5910918·
 2005 01  7111030.
 2004 12 7011236·
 2004 11 8810915·
 2004 10 4211026.
 2004 09 5711282·
 2004 08 2311287·
 2004 07 6711263.
 2004 06 5811351·
 2004 05 3011300·
 2004 04 3711251·
 2004 03 2811240.
 2004 02 4611189.
 2004 01 6111313·
 2003 12  1511537·
 2003 11  211414·
 2003 10  7011410·
 2003 09  4411243·
 2003 08  8111351.
 2003 07  4711187.
 2003 06  1611300·
 2003 05  9611506.
 2003 04  8611605.
 2003 03  4411616.
 2003 02  9811842·
 2003 01  6411664.
 2002 12 411706·
 2002 11 011568.
 2002 10 5311600·
 2002 09 1511483·
 2002 08 3711503·
 2002 07 4511650·
 2002 06 4511718·
 2002 05 4511966·
 2002 04 1011932.
 2002 03 3812100·
 2002 02 6111958.
 2002 01 7111869.
 2001 12  7312139.
 2001 11  5911934·
 2001 10  1411948·
 2001 09  3912065·
 2001 08  112131.
 2001 07  1612356·
 2001 06  4312545.
 2001 05  1712617.
 2001 04  9512667.
 2001 03  3912768.
 2001 02  912719·
 2001 01  9912779·
 2000 12 8112776.
 2000 11 8512834·
 2000 10 212803·
 2000 09 512672.
 2000 08 913090.
 2000 07 3713045.
 2000 06 3313169·
 2000 05 7913143.
 2000 04 5313182.
 2000 03 113341·
 2000 02 4113397·
 2000 01 9013297.
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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: Nonagriculture Private wage and salary workers in Manufacturing industry, Men: 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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