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 Series Title: Employment Level: Management, Business, and Financial Operations Occupations in Manufacturing Industry: NSA
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 2012 04 452544·
 2012 03 242427.
 2012 02 782415.
 2012 01 102382·
 2011 12  452445.
 2011 11  142412.
 2011 10  482441.
 2011 09  62475·
 2011 08  312393·
 2011 07  212527·
 2011 06  362484·
 2011 05  192423·
 2011 04  512508·
 2011 03  272409.
 2011 02  582340.
 2011 01  942366·
 2010 12 832285.
 2010 11 392218·
 2010 10 502348.
 2010 09 02422.
 2010 08 262363.
 2010 07 882414.
 2010 06 752374·
 2010 05 312309·
 2010 04 52350.
 2010 03 302248·
 2010 02 212286·
 2010 01 52187.
 2009 12  722287.
 2009 11  482239·
 2009 10  22466·
 2009 09  682569·
 2009 08  12473.
 2009 07  482550·
 2009 06  542504·
 2009 05  882503·
 2009 04  922481.
 2009 03  612453·
 2009 02  422363·
 2009 01  592305.
 2008 12 722273·
 2008 11 452429.
 2008 10 522546·
 2008 09 12600.
 2008 08 912613·
 2008 07 812635·
 2008 06 982531·
 2008 05 582569·
 2008 04 242563.
 2008 03 762573·
 2008 02 172447·
 2008 01 982501.
 2007 12  712628.
 2007 11  602711.
 2007 10  732745.
 2007 09  172647.
 2007 08  572692·
 2007 07  922652·
 2007 06  532495.
 2007 05  322518·
 2007 04  342566.
 2007 03  522555·
 2007 02  712612.
 2007 01  892573.
 2006 12 772571·
 2006 11 482528.
 2006 10 632580.
 2006 09 562442.
 2006 08 852424.
 2006 07 102416·
 2006 06 942491.
 2006 05 282585·
 2006 04 852729.
 2006 03 962784.
 2006 02 502718·
 2006 01 232776·
 2005 12  262610.
 2005 11  872552.
 2005 10  462480.
 2005 09  862497·
 2005 08  852404.
 2005 07  892427·
 2005 06  182452·
 2005 05  862416.
 2005 04  612531·
 2005 03  352610·
 2005 02  292608.
 2005 01  172695·
 2004 12 802594.
 2004 11 812512.
 2004 10 682537·
 2004 09 982516.
 2004 08 922528·
 2004 07 92429.
 2004 06 482488.
 2004 05 742546.
 2004 04 732540.
 2004 03 252566·
 2004 02 52629·
 2004 01 132579.
 2003 12  242633.
 2003 11  612621·
 2003 10  42463·
 2003 09  102494.
 2003 08  682506·
 2003 07  742497·
 2003 06  322669.
 2003 05  842591.
 2003 04  572560·
 2003 03  442589·
 2003 02  22538.
 2003 01  782524·
 2002 12 672453.
 2002 11 802470.
 2002 10 512527·
 2002 09 632424·
 2002 08 972454.
 2002 07 122426.
 2002 06 442485.
 2002 05 322525·
 2002 04 742457.
 2002 03 982605.
 2002 02 672568·
 2002 01 42559.
 2001 12  462679·
 2001 11  182654·
 2001 10  332593·
 2001 09  242695.
 2001 08  912593·
 2001 07  792611·
 2001 06  812694·
 2001 05  602718·
 2001 04  82781·
 2001 03  142815.
 2001 02  732757.
 2001 01  72681.
 2000 12 222735.
 2000 11 782743·
 2000 10 972665.
 2000 09 842700.
 2000 08 842714.
 2000 07 542593·
 2000 06 662754·
 2000 05 352757.
 2000 04 702837.
 2000 03 482798.
 2000 02 182799·
 2000 01 302776.
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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 Level: Management, Business, and Financial Operations Occupations in Manufacturing Industry: 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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