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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 371856.
 2000 02 241806·
 2000 03 721809·
 2000 04 271846·
 2000 05 591753·
 2000 06 421771·
 2000 07 491696.
 2000 08 851783.
 2000 09 361817.
 2000 10 451745·
 2000 11 131818·
 2000 12 291769·
 2001 01  171722.
 2001 02  151741·
 2001 03  791739·
 2001 04  31766·
 2001 05  771747.
 2001 06  601722·
 2001 07  841647·
 2001 08  771602·
 2001 09  171686·
 2001 10  111590·
 2001 11  911640.
 2001 12  441636.
 2002 01 631587·
 2002 02 251578·
 2002 03 881601·
 2002 04 241527·
 2002 05 651553.
 2002 06 821543·
 2002 07 881576·
 2002 08 611561.
 2002 09 981565.
 2002 10 911641.
 2002 11 291574·
 2002 12 241568.
 2003 01  621603·
 2003 02  821675.
 2003 03  731670·
 2003 04  71658.
 2003 05  831698.
 2003 06  111697.
 2003 07  91577.
 2003 08  291530.
 2003 09  121602.
 2003 10  621603.
 2003 11  491741.
 2003 12  351788·
 2004 01 231684.
 2004 02 401686·
 2004 03 321567·
 2004 04 931582·
 2004 05 181606·
 2004 06 771592·
 2004 07 201532.
 2004 08 981574.
 2004 09 211571·
 2004 10 301624·
 2004 11 01633·
 2004 12 691667·
 2005 01  831744·
 2005 02  801683.
 2005 03  871682.
 2005 04  501629.
 2005 05  791540.
 2005 06  341555·
 2005 07  181513.
 2005 08  91496.
 2005 09  101581·
 2005 10  231609.
 2005 11  561695.
 2005 12  431687.
 2006 01 11782.
 2006 02 51751.
 2006 03 881814·
 2006 04 681749·
 2006 05 31649·
 2006 06 611553·
 2006 07 281485·
 2006 08 311446.
 2006 09 901514.
 2006 10 971609·
 2006 11 131599.
 2006 12 981702·
 2007 01  641689.
 2007 02  451742.
 2007 03  61666·
 2007 04  661633·
 2007 05  491642.
 2007 06  621594·
 2007 07  961729·
 2007 08  531690·
 2007 09  971600.
 2007 10  301684·
 2007 11  951707.
 2007 12  31686.
 2008 01 811672·
 2008 02 541616·
 2008 03 411657·
 2008 04 851643·
 2008 05 41630·
 2008 06 671596.
 2008 07 971708.
 2008 08 931677·
 2008 09 901659.
 2008 10 261672·
 2008 11 501586·
 2008 12 471555.
 2009 01  891590·
 2009 02  111610·
 2009 03  141650·
 2009 04  911633·
 2009 05  781585·
 2009 06  301570·
 2009 07  271660·
 2009 08  941640.
 2009 09  561670.
 2009 10  151634·
 2009 11  511482.
 2009 12  491520·
 2010 01 481477·
 2010 02 211486·
 2010 03 751467.
 2010 04 771494·
 2010 05 61466.
 2010 06 311573.
 2010 07 111621·
 2010 08 201559·
 2010 09 41587·
 2010 10 511524.
 2010 11 971455·
 2010 12 501476·
 2011 01  441526·
 2011 02  131455·
 2011 03  961537.
 2011 04  581614.
 2011 05  491533.
 2011 06  731623·
 2011 07  961624.
 2011 08  661495.
 2011 09  711594.
 2011 10  141570·
 2011 11  91555.
 2011 12  161635.
 2012 01 861595·
 2012 02 411600·
 2012 03 751554.
 2012 04 781616·
 2012 05 931584.
 2012 06 871599·
 2012 07 541574·
 2012 08 461607·
 2012 09 181594.
 2012 10 71613.
 2012 11 371632.
 2012 12 401606.
 2013 01  111601.
 2013 02  851619·
 2013 03  351570.
 2013 04  31525.
 2013 05  481511.
 2013 06  251563.
 2013 07  861591.
 2013 08  41685.
 2013 09  291741.
 2013 10  611648·
 2013 11  531612.
 2013 12  381546.
 2014 01 791559·
 2014 02 481604.
 2014 03 241657·
 2014 04 241662·
 2014 05 491759·
 2014 06 681683·
 2014 07 121645·
 2014 08 51761.
 2014 09 151661.
 2014 10 291580·
 2014 11 551556.
 2014 12 521591.
 2015 01  761577·
 2015 02  601657·
 2015 03  161594·
 2015 04  581591·
 2015 05  581678·
 2015 06  201667.
 2015 07  821720.
 2015 08  421718.
 2015 09  121704·
 2015 10  901742·
 2015 11  671695·
 2015 12  491741.
 2016 01 121706.
 2016 02 761657.
 2016 03 81593.
 2016 04 481577·
 2016 05 601626·
 2016 06 101684·
 2016 07 681624·
 2016 08 321722.
 2016 09 801869.
 2016 10 491901·
 2016 11 361944·
 2016 12 211863.
 2017 01  231762·
 2017 02  751678·


 2017 03  241636·
 2017 04  591619.
 2017 05  651589·
 2017 06  931512.
 2017 07  691699.
 2017 08  161618·
 2017 09  51809·
 2017 10  361838·
 2017 11  351801.
 2017 12  841744·
 2018 01 691632.
 2018 02 601572·
 2018 03 111575.
 2018 04 841629.
 2018 05 81589·
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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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