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 Series Title: Employed: Wage and salary workers, Manufacturing: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 5914301·
 2012 03 2414226·
 2012 02 4814124·
 2012 01 1714050.
 2011 12  3614369·
 2011 11  1814263·
 2011 10  7414418.
 2011 09  4514365.
 2011 08  5614021.
 2011 07  8614051.
 2011 06  7514002.
 2011 05  4713779.
 2011 04  6714035.
 2011 03  913769.
 2011 02  6413751.
 2011 01  6813876·
 2010 12 4514045.
 2010 11 9314011.
 2010 10 8114152·
 2010 09 7514025.
 2010 08 9114020·
 2010 07 7114154·
 2010 06 8713872.
 2010 05 6313867.
 2010 04 2913667·
 2010 03 9913326·
 2010 02 7113232·
 2010 01 5112933.
 2009 12  1112995·
 2009 11  5913340.
 2009 10  4513691.
 2009 09  8414013·
 2009 08  1214071·
 2009 07  5714178.
 2009 06  4714055.
 2009 05  3014073.
 2009 04  3113950.
 2009 03  2513866.
 2009 02  4014124.
 2009 01  8414094.
 2008 12 9514655·
 2008 11 2015252.
 2008 10 1315457·
 2008 09 6515647.
 2008 08 5415891·
 2008 07 2215873·
 2008 06 7715843.
 2008 05 1615651.
 2008 04 8315720·
 2008 03 4015759·
 2008 02 7115669.
 2008 01 815657.
 2007 12  8316125·
 2007 11  416148.
 2007 10  5816148.
 2007 09  3415996·
 2007 08  7915991·
 2007 07  7216072·
 2007 06  2515725·
 2007 05  1315971.
 2007 04  2115794.
 2007 03  2415926·
 2007 02  8615906·
 2007 01  9015578·
 2006 12 8515743·
 2006 11 6715631·
 2006 10 7816008·
 2006 09 3316082·
 2006 08 7116036·
 2006 07 3415967·
 2006 06 6516173·
 2006 05 3715944.
 2006 04 515970·
 2006 03 8116532.
 2006 02 3416180·
 2006 01 2116303.
 2005 12  3716150·
 2005 11  8815910.
 2005 10  9815888·
 2005 09  3015882.
 2005 08  4215764·
 2005 07  6415933.
 2005 06  9416124.
 2005 05  3115849.
 2005 04  2115918.
 2005 03  3915895·
 2005 02  8715801·
 2005 01  1915917·
 2004 12 9916175.
 2004 11 7115882·
 2004 10 6315814·
 2004 09 1516086.
 2004 08 2716251·
 2004 07 4116097.
 2004 06 3616222.
 2004 05 6016373.
 2004 04 8016225.
 2004 03 5516264.
 2004 02 4316260·
 2004 01 2616320·
 2003 12  5816536.
 2003 11  4516525·
 2003 10  4816490·
 2003 09  516243·
 2003 08  8616500.
 2003 07  6816230·
 2003 06  3816380·
 2003 05  1816509.
 2003 04  1616744.
 2003 03  616722.
 2003 02  2617041·
 2003 01  716925·
 2002 12 2216830·
 2002 11 6516734.
 2002 10 5116755·
 2002 09 4316497·
 2002 08 516786.
 2002 07 7616742.
 2002 06 7416788·
 2002 05 1917036.
 2002 04 9117045·
 2002 03 9717367.
 2002 02 8417262·
 2002 01 5517189.
 2001 12  2917507.
 2001 11  917344·
 2001 10  9417449·
 2001 09  9517478.
 2001 08  9517631·
 2001 07  1917889·
 2001 06  4118239·
 2001 05  818424·
 2001 04  8918505.
 2001 03  5818746.
 2001 02  8918826.
 2001 01  8718834·
 2000 12 3819019.
 2000 11 8318950·
 2000 10 2618872.
 2000 09 5318941.
 2000 08 9019240·
 2000 07 7619225.
 2000 06 6319540·
 2000 05 4919321.
 2000 04 2319474.
 2000 03 4319700·
 2000 02 4019764.
 2000 01 4519598·
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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: 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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