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 Series Title: Employed: Durable goods manufacturing, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 701349.
 2000 02 231336.
 2000 03 331316·
 2000 04 371415·
 2000 05 21354·
 2000 06 921358·
 2000 07 771385.
 2000 08 561326.
 2000 09 61387.
 2000 10 651413.
 2000 11 291394.
 2000 12 791353.
 2001 01  341353·
 2001 02  251345·
 2001 03  11366·
 2001 04  521425·
 2001 05  591332.
 2001 06  781308·
 2001 07  311352·
 2001 08  421306·
 2001 09  841368.
 2001 10  551353.
 2001 11  821281·
 2001 12  451275.
 2002 01 331180.
 2002 02 141139.
 2002 03 411199.
 2002 04 801179.
 2002 05 561172.
 2002 06 351261.
 2002 07 221288.
 2002 08 901272·
 2002 09 301213·
 2002 10 261229·
 2002 11 631258·
 2002 12 451273·
 2003 01  531349.
 2003 02  191405·
 2003 03  261307.
 2003 04  391249.
 2003 05  531100.
 2003 06  691145.
 2003 07  991184·
 2003 08  911238·
 2003 09  781186·
 2003 10  581199·
 2003 11  961218·
 2003 12  451194.
 2004 01 51242·
 2004 02 941198.
 2004 03 531124.
 2004 04 701209.
 2004 05 341142·
 2004 06 81158·
 2004 07 351249·
 2004 08 611315.
 2004 09 901289·
 2004 10 561230.
 2004 11 281260.
 2004 12 371174.
 2005 01  241156.
 2005 02  201106.
 2005 03  461131.
 2005 04  411262.
 2005 05  101340·
 2005 06  61368·
 2005 07  271310·
 2005 08  431222·
 2005 09  511312·
 2005 10  471291·
 2005 11  331207.
 2005 12  371236.
 2006 01 701240·
 2006 02 991278.
 2006 03 521433·
 2006 04 421375·
 2006 05 181406.
 2006 06 441327.
 2006 07 981309·
 2006 08 31243.
 2006 09 711248·
 2006 10 881257.
 2006 11 81248.
 2006 12 881274·
 2007 01  291178·
 2007 02  621255.
 2007 03  461278·
 2007 04  911247.
 2007 05  171354·
 2007 06  251232·
 2007 07  981228.
 2007 08  331297·
 2007 09  861310·
 2007 10  561361·
 2007 11  781354·
 2007 12  561310·
 2008 01 121290.
 2008 02 631247·
 2008 03 241203·
 2008 04 301203.
 2008 05 941227·
 2008 06 781307.
 2008 07 981318.
 2008 08 491293.
 2008 09 581237.
 2008 10 571273.
 2008 11 891259·
 2008 12 331263·
 2009 01  541346·
 2009 02  811199·
 2009 03  91233·
 2009 04  251149.
 2009 05  581091·
 2009 06  581115.
 2009 07  971140·
 2009 08  941092.
 2009 09  701138·
 2009 10  191078.
 2009 11  151116·
 2009 12  361095.
 2010 01 151105.
 2010 02 201137·
 2010 03 511043·
 2010 04 681027.
 2010 05 451137·
 2010 06 441146·
 2010 07 181222·
 2010 08 351216·
 2010 09 341223·
 2010 10 971151·
 2010 11 541147.
 2010 12 61191.
 2011 01  821155.
 2011 02  101149·
 2011 03  211002·
 2011 04  761091.
 2011 05  161067·
 2011 06  411112·
 2011 07  91132·
 2011 08  631175·
 2011 09  851193.
 2011 10  701163.
 2011 11  281165·
 2011 12  111274·
 2012 01 651195.
 2012 02 51203·
 2012 03 191094·
 2012 04 911137·
 2012 05 561174.
 2012 06 771172.
 2012 07 421230·
 2012 08 951234·
 2012 09 841164.
 2012 10 431167·
 2012 11 871136.
 2012 12 431163·
 2013 01  991251·
 2013 02  841248.
 2013 03  661224·
 2013 04  791212·
 2013 05  771161·
 2013 06  81208·
 2013 07  171255·
 2013 08  721278·
 2013 09  171342·
 2013 10  451282.
 2013 11  31430.
 2013 12  171370·
 2014 01 451359.
 2014 02 521335·
 2014 03 111207.
 2014 04 331213.
 2014 05 121274·
 2014 06 111342.
 2014 07 561258·
 2014 08 631318.
 2014 09 931367.
 2014 10 291345·
 2014 11 731399·
 2014 12 761475.
 2015 01  891571.
 2015 02  381469·
 2015 03  281383·
 2015 04  681310·
 2015 05  241279.
 2015 06  931363·
 2015 07  61407.
 2015 08  571332·
 2015 09  491300.
 2015 10  771401.
 2015 11  221337.
 2015 12  871365.
 2016 01 401321.
 2016 02 951438.
 2016 03 131453·
 2016 04 281433.
 2016 05 971454.
 2016 06 811401·
 2016 07 421352.
 2016 08 731360.
 2016 09 451338.
 2016 10 901311.
 2016 11 971261.
 2016 12 421318.
 2017 01  351268.
 2017 02  51410·


 2017 03  911421.
 2017 04  781390·
 2017 05  421443·
 2017 06  311384.
 2017 07  621411·
 2017 08  521253·
 2017 09  671317.
 2017 10  01363·
 2017 11  721312·
 2017 12  561329·
 2018 01 341376.
 2018 02 701409·
 2018 03 91439.
 2018 04 111482.
 2018 05 951415·
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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: Employed: Durable goods manufacturing, Hispanic or Latino: 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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