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 Series Title: Employed: Wage and salary workers, Manufacturing, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8310054·
 2012 03 4010021·
 2012 02 4410153·
 2012 01 1610118·
 2011 12  110309·
 2011 11  4610105·
 2011 10  310176.
 2011 09  5010214·
 2011 08  4710009.
 2011 07  1310083·
 2011 06  2510097·
 2011 05  459921.
 2011 04  739979.
 2011 03  229756·
 2011 02  239847.
 2011 01  4510056.
 2010 12 5310123.
 2010 11 8110115·
 2010 10 3510219·
 2010 09 2010033·
 2010 08 8810018.
 2010 07 2110207·
 2010 06 259877·
 2010 05 639953.
 2010 04 49845·
 2010 03 989606·
 2010 02 799629.
 2010 01 949405·
 2009 12  509400·
 2009 11  949564·
 2009 10  129754·
 2009 09  579941.
 2009 08  310053·
 2009 07  1610103·
 2009 06  6010017.
 2009 05  2110033.
 2009 04  629929·
 2009 03  969980.
 2009 02  8710160.
 2009 01  8110110.
 2008 12 5410540.
 2008 11 8910752·
 2008 10 8010951·
 2008 09 5411120·
 2008 08 2711290·
 2008 07 7811275.
 2008 06 5311178.
 2008 05 8611136.
 2008 04 5911212·
 2008 03 7011166·
 2008 02 4311108.
 2008 01 4510916.
 2007 12  4811375·
 2007 11  9611381·
 2007 10  1311330.
 2007 09  2711284.
 2007 08  2111201.
 2007 07  1211362·
 2007 06  5111099·
 2007 05  4911232·
 2007 04  2811036.
 2007 03  111093.
 2007 02  7011121.
 2007 01  5610896.
 2006 12 4411242·
 2006 11 6911041.
 2006 10 911390.
 2006 09 1711462.
 2006 08 7011339.
 2006 07 4711315·
 2006 06 2911310.
 2006 05 2611139·
 2006 04 3111192·
 2006 03 9211550·
 2006 02 1811352.
 2006 01 311565·
 2005 12  7711428·
 2005 11  8611198·
 2005 10  9011232·
 2005 09  9111139·
 2005 08  8511039.
 2005 07  3611234.
 2005 06  8311334·
 2005 05  6011035·
 2005 04  5311065.
 2005 03  7311205·
 2005 02  5910953·
 2005 01  411069·
 2004 12 911287.
 2004 11 5410961·
 2004 10 611081.
 2004 09 4211338.
 2004 08 111343.
 2004 07 6011312·
 2004 06 3711400.
 2004 05 1811347.
 2004 04 611293·
 2004 03 9811281.
 2004 02 9111223·
 2004 01 111349.
 2003 12  2311577·
 2003 11  011469.
 2003 10  2911469·
 2003 09  8611307.
 2003 08  7911398.
 2003 07  2211243.
 2003 06  4011329·
 2003 05  9111545.
 2003 04  2311635.
 2003 03  4611641·
 2003 02  3611878·
 2003 01  6111714.
 2002 12 3211751.
 2002 11 7911629.
 2002 10 5711656·
 2002 09 6511533.
 2002 08 411565.
 2002 07 5211691·
 2002 06 6311754.
 2002 05 9612003·
 2002 04 6711967.
 2002 03 2212133·
 2002 02 4411992.
 2002 01 7511907.
 2001 12  7012180·
 2001 11  7111966.
 2001 10  1312001.
 2001 09  4512141·
 2001 08  8812228.
 2001 07  512478·
 2001 06  612599·
 2001 05  7612658·
 2001 04  2212703·
 2001 03  5512806·
 2001 02  8712763.
 2001 01  6112839·
 2000 12 9812834.
 2000 11 7912886·
 2000 10 4512849.
 2000 09 1912717.
 2000 08 6513138.
 2000 07 5813088·
 2000 06 9113220·
 2000 05 9513193·
 2000 04 9913230·
 2000 03 9913366·
 2000 02 6313445·
 2000 01 5913329·
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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: Employed: Wage and salary workers, Manufacturing, 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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