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 Series Title: Employment Level: Management, Business, and Financial Operations Occupations in Durable Goods Manufacturing Industry: NSA
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 2000 01 211856.
 2000 02 451806.
 2000 03 471809.
 2000 04 121846·
 2000 05 471753.
 2000 06 621771.
 2000 07 711696.
 2000 08 141783.
 2000 09 151817.
 2000 10 541745·
 2000 11 701818.
 2000 12 901769·
 2001 01  741722.
 2001 02  01741.
 2001 03  581739·
 2001 04  831766.
 2001 05  11747.
 2001 06  81722·
 2001 07  731647·
 2001 08  641602·
 2001 09  951686·
 2001 10  91590·
 2001 11  781640.
 2001 12  251636·
 2002 01 821587.
 2002 02 611578·
 2002 03 601601.
 2002 04 871527·
 2002 05 121553.
 2002 06 441543.
 2002 07 321576·
 2002 08 931561.
 2002 09 611565.
 2002 10 661641.
 2002 11 331574·
 2002 12 131568.
 2003 01  291603.
 2003 02  571675.
 2003 03  251670·
 2003 04  401658·
 2003 05  421698·
 2003 06  751697·
 2003 07  961577·
 2003 08  941530.
 2003 09  491602.
 2003 10  11603.
 2003 11  581741.
 2003 12  191788.
 2004 01 271684.
 2004 02 421686.
 2004 03 511567.
 2004 04 841582·
 2004 05 751606·
 2004 06 301592·
 2004 07 361532·
 2004 08 841574·
 2004 09 191571.
 2004 10 211624.
 2004 11 21633·
 2004 12 361667·
 2005 01  101744.
 2005 02  961683·
 2005 03  611682·
 2005 04  871629·
 2005 05  221540·
 2005 06  631555.
 2005 07  521513.
 2005 08  31496.
 2005 09  571581.
 2005 10  541609·
 2005 11  371695·
 2005 12  811687.
 2006 01 391782.
 2006 02 231751.
 2006 03 41814.
 2006 04 381749.
 2006 05 191649·
 2006 06 551553.
 2006 07 671485·
 2006 08 201446.
 2006 09 731514·
 2006 10 541609.
 2006 11 621599.
 2006 12 951702.
 2007 01  01689.
 2007 02  531742·
 2007 03  531666·
 2007 04  571633.
 2007 05  271642.
 2007 06  81594·
 2007 07  271729·
 2007 08  251690.
 2007 09  31600.
 2007 10  11684·
 2007 11  991707.
 2007 12  451686.
 2008 01 41672·
 2008 02 381616·
 2008 03 51657.
 2008 04 831643·
 2008 05 301630·
 2008 06 521596.
 2008 07 81708.
 2008 08 361677.
 2008 09 81659.
 2008 10 991672.
 2008 11 961586·
 2008 12 221555·
 2009 01  861590.
 2009 02  601610·
 2009 03  831650·
 2009 04  851633·
 2009 05  401585·
 2009 06  421570·
 2009 07  61660.
 2009 08  951640.
 2009 09  721670.
 2009 10  771634·
 2009 11  271482·
 2009 12  441520.
 2010 01 61477.
 2010 02 211486.
 2010 03 361467·
 2010 04 541494.
 2010 05 921466·
 2010 06 571573.
 2010 07 441621.
 2010 08 671559·
 2010 09 71587·
 2010 10 901524·
 2010 11 901455·
 2010 12 531476·
 2011 01  501526.
 2011 02  531455.
 2011 03  361537.
 2011 04  61614.
 2011 05  471533.
 2011 06  11623.
 2011 07  711624·
 2011 08  451495·
 2011 09  481594.
 2011 10  171570.
 2011 11  71555.
 2011 12  151635·
 2012 01 281595·
 2012 02 71600·
 2012 03 831554.
 2012 04 841616·
 2012 05 891584·
 2012 06 41599.
 2012 07 601574·
 2012 08 461607.
 2012 09 551594·
 2012 10 621613·
 2012 11 281632.
 2012 12 221606·
 2013 01  771601·
 2013 02  651619.
 2013 03  981570.
 2013 04  541525.
 2013 05  301511.
 2013 06  191563.
 2013 07  91591·
 2013 08  121685.
 2013 09  151741·
 2013 10  551648·
 2013 11  231612.
 2013 12  901546·
 2014 01 561559.
 2014 02 301604.
 2014 03 301657.
 2014 04 81662·
 2014 05 51759·
 2014 06 261683·
 2014 07 401645·
 2014 08 91761·
 2014 09 371661.
 2014 10 501580.
 2014 11 931556.
 2014 12 621591.
 2015 01  521577·
 2015 02  321657.
 2015 03  511594.
 2015 04  631591·
 2015 05  751678.
 2015 06  301667·
 2015 07  21720.
 2015 08  291718.
 2015 09  571704.
 2015 10  251742·
 2015 11  601695·
 2015 12  51741·
 2016 01 741706·
 2016 02 251657·
 2016 03 611593·
 2016 04 601577·
 2016 05 251626·
 2016 06 591684.
 2016 07 691624.
 2016 08 891722.
 2016 09 371869.
 2016 10 861901.
 2016 11 711944.
 2016 12 101863·
 2017 01  591762.
 2017 02  871678.
 2017 03  811636.
 2017 04  671619·
 2017 05  661589.
 2017 06  691512·
 2017 07  371699·
 2017 08  311618·


 2017 09  601809·
 2017 10  621838.
 2017 11  11801.
 2017 12  941744.
 2018 01 661632·
 2018 02 251572·
 2018 03 611575.
 2018 04 761629·
 2018 05 341589·
 2018 06 371513.
 2018 07 301571·
 2018 08 211634·
 2018 09 391742·
 2018 10 71866·
 2018 11 461812·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 Durable Goods 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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