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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 331349·
 2000 02 911336.
 2000 03 871316.
 2000 04 171415.
 2000 05 41354·
 2000 06 681358.
 2000 07 351385·
 2000 08 601326.
 2000 09 781387.
 2000 10 811413·
 2000 11 221394.
 2000 12 391353·
 2001 01  61353·
 2001 02  121345·
 2001 03  611366.
 2001 04  991425.
 2001 05  641332·
 2001 06  671308·
 2001 07  891352.
 2001 08  71306·
 2001 09  521368·
 2001 10  781353·
 2001 11  681281.
 2001 12  601275·
 2002 01 961180·
 2002 02 21139.
 2002 03 881199.
 2002 04 751179.
 2002 05 451172.
 2002 06 201261·
 2002 07 611288.
 2002 08 971272.
 2002 09 751213.
 2002 10 381229.
 2002 11 241258.
 2002 12 951273·
 2003 01  871349·
 2003 02  891405·
 2003 03  411307·
 2003 04  631249.
 2003 05  61100.
 2003 06  291145·
 2003 07  01184.
 2003 08  201238.
 2003 09  831186·
 2003 10  401199.
 2003 11  121218·
 2003 12  111194.
 2004 01 921242.
 2004 02 281198·
 2004 03 181124·
 2004 04 51209.
 2004 05 341142·
 2004 06 251158·
 2004 07 781249·
 2004 08 951315·
 2004 09 351289.
 2004 10 881230.
 2004 11 821260.
 2004 12 11174.
 2005 01  441156.
 2005 02  981106·
 2005 03  411131·
 2005 04  671262.
 2005 05  381340·
 2005 06  631368.
 2005 07  951310.
 2005 08  621222.
 2005 09  171312.
 2005 10  121291·
 2005 11  51207·
 2005 12  801236.
 2006 01 51240.
 2006 02 41278.
 2006 03 601433.
 2006 04 411375.
 2006 05 551406·
 2006 06 201327.
 2006 07 721309·
 2006 08 891243·
 2006 09 401248·
 2006 10 661257·
 2006 11 801248·
 2006 12 921274·
 2007 01  611178·
 2007 02  751255·
 2007 03  461278.
 2007 04  451247.
 2007 05  441354.
 2007 06  21232.
 2007 07  591228.
 2007 08  661297.
 2007 09  391310·
 2007 10  291361.
 2007 11  301354.
 2007 12  11310.
 2008 01 221290.
 2008 02 641247.
 2008 03 991203.
 2008 04 191203.
 2008 05 921227.
 2008 06 371307·
 2008 07 271318·
 2008 08 121293.
 2008 09 751237.
 2008 10 61273.
 2008 11 31259.
 2008 12 11263.
 2009 01  221346·
 2009 02  521199·
 2009 03  401233.
 2009 04  301149.
 2009 05  91091.
 2009 06  811115·
 2009 07  761140.
 2009 08  681092.
 2009 09  341138.
 2009 10  261078.
 2009 11  721116·
 2009 12  91095.
 2010 01 241105·
 2010 02 421137.
 2010 03 191043·
 2010 04 711027.
 2010 05 301137·
 2010 06 121146.
 2010 07 271222.
 2010 08 01216·
 2010 09 261223.
 2010 10 421151·
 2010 11 361147·
 2010 12 651191·
 2011 01  131155·
 2011 02  641149.
 2011 03  71002·
 2011 04  591091.
 2011 05  161067·
 2011 06  351112·
 2011 07  301132.
 2011 08  11175.
 2011 09  861193·
 2011 10  351163·
 2011 11  161165·
 2011 12  361274·
 2012 01 981195·
 2012 02 731203.
 2012 03 41094.
 2012 04 341137.
 2012 05 531174·
 2012 06 791172.
 2012 07 571230.
 2012 08 871234.
 2012 09 751164.
 2012 10 91167.
 2012 11 621136.
 2012 12 161163·
 2013 01  161251.
 2013 02  471248·
 2013 03  321224·
 2013 04  641212.
 2013 05  511161.
 2013 06  981208·
 2013 07  61255.
 2013 08  01278.
 2013 09  791342·
 2013 10  931282·
 2013 11  461430·
 2013 12  191370·
 2014 01 271359.
 2014 02 911335·
 2014 03 401207·
 2014 04 401213.
 2014 05 451274·
 2014 06 711342.
 2014 07 11258.
 2014 08 71318·
 2014 09 81367.
 2014 10 421345·
 2014 11 661399.
 2014 12 891475·
 2015 01  171571.
 2015 02  341469·
 2015 03  991383.
 2015 04  801310·
 2015 05  971279.
 2015 06  41363.
 2015 07  881407.
 2015 08  01332.
 2015 09  981300·
 2015 10  341401·
 2015 11  461337.
 2015 12  921365·
 2016 01 961321.
 2016 02 301438.
 2016 03 101453·
 2016 04 251433·
 2016 05 911454.
 2016 06 241401.
 2016 07 431352·
 2016 08 951360·
 2016 09 91338·
 2016 10 731311.
 2016 11 331261·
 2016 12 191318.
 2017 01  01268·
 2017 02  591410.
 2017 03  931421·
 2017 04  421390·
 2017 05  391443·


 2017 06  871384.
 2017 07  611411.
 2017 08  341253.
 2017 09  271317.
 2017 10  901363.
 2017 11  01312.
 2017 12  881329.
 2018 01 891376·
 2018 02 251409·
 2018 03 981439.
 2018 04 231482·
 2018 05 761415·
 2018 06 721345.
 2018 07 671311·
 2018 08 841337·
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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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