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 Series Title: Employed: Wholesale trade, Hispanic or Latino: NSA
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 2000 01 4530·
 2000 02 37595.
 2000 03 72552.
 2000 04 3572.
 2000 05 53608·
 2000 06 43589.
 2000 07 98609·
 2000 08 74607·
 2000 09 5640·
 2000 10 84558·
 2000 11 64538.
 2000 12 81526.
 2001 01  12463·
 2001 02  43608·
 2001 03  80588.
 2001 04  69557.
 2001 05  48535.
 2001 06  26508·
 2001 07  86496·
 2001 08  6484·
 2001 09  14509·
 2001 10  66544·
 2001 11  44540.
 2001 12  86542·
 2002 01 35536.
 2002 02 17488·
 2002 03 42475.
 2002 04 29528.
 2002 05 63549·
 2002 06 63528.
 2002 07 93600·
 2002 08 80601·
 2002 09 71609.
 2002 10 10608.
 2002 11 34579.
 2002 12 6563·
 2003 01  61528.
 2003 02  89540.
 2003 03  29552.
 2003 04  2512.
 2003 05  58575.
 2003 06  57631.
 2003 07  66601·
 2003 08  88565·
 2003 09  13649.
 2003 10  96598·
 2003 11  57634·
 2003 12  7632·
 2004 01 0604·
 2004 02 12560.
 2004 03 40570.
 2004 04 28617·
 2004 05 20611.
 2004 06 38705·
 2004 07 79691·
 2004 08 46614.
 2004 09 99613·
 2004 10 29562.
 2004 11 61575·
 2004 12 80626·
 2005 01  87553.
 2005 02  67563·
 2005 03  98587·
 2005 04  75614.
 2005 05  59627.
 2005 06  59626·
 2005 07  30649.
 2005 08  98637.
 2005 09  16664·
 2005 10  37702·
 2005 11  18660.
 2005 12  44661.
 2006 01 83613·
 2006 02 57577.
 2006 03 51558·
 2006 04 33586.
 2006 05 10640.
 2006 06 1599·
 2006 07 42616·
 2006 08 9638·
 2006 09 73644·
 2006 10 75670·
 2006 11 28639·
 2006 12 40633.
 2007 01  73644.
 2007 02  12603·
 2007 03  72566·
 2007 04  21656·
 2007 05  34599.
 2007 06  67638·
 2007 07  62698.
 2007 08  71646.
 2007 09  7636.
 2007 10  23589·
 2007 11  12646·
 2007 12  34647.
 2008 01 68618.
 2008 02 86599.
 2008 03 59633·
 2008 04 79640·
 2008 05 16652.
 2008 06 87575·
 2008 07 65604·
 2008 08 1533.
 2008 09 78581·
 2008 10 84562.
 2008 11 19519·
 2008 12 19547.
 2009 01  3506.
 2009 02  58527·
 2009 03  34502.
 2009 04  75514.
 2009 05  67571·
 2009 06  15586.
 2009 07  48615·
 2009 08  41620.
 2009 09  71600.
 2009 10  88557·
 2009 11  23553.
 2009 12  10556.
 2010 01 39546·
 2010 02 33497·
 2010 03 47523·
 2010 04 1574·
 2010 05 23579.
 2010 06 31618·
 2010 07 34576·
 2010 08 58566.
 2010 09 97568.
 2010 10 89570.
 2010 11 21604.
 2010 12 50549.
 2011 01  62611.
 2011 02  39596·
 2011 03  70634·
 2011 04  72629·
 2011 05  43629.
 2011 06  38600.
 2011 07  71653·
 2011 08  43572·
 2011 09  91576.
 2011 10  67587.
 2011 11  36507·
 2011 12  7533·
 2012 01 82537.
 2012 02 32491.
 2012 03 2540·
 2012 04 32560.
 2012 05 14613·
 2012 06 66645·
 2012 07 32708.
 2012 08 14651.
 2012 09 15714·
 2012 10 25657.
 2012 11 16680·
 2012 12 70629·
 2013 01  34594·
 2013 02  90629·
 2013 03  64591.
 2013 04  46575.
 2013 05  47568.
 2013 06  69547.
 2013 07  16575.
 2013 08  11562.
 2013 09  53590.
 2013 10  93599.
 2013 11  34571.
 2013 12  58546.
 2014 01 79605.
 2014 02 19581·
 2014 03 6536.
 2014 04 7542·
 2014 05 75489.
 2014 06 27463.
 2014 07 45551·
 2014 08 2551.
 2014 09 17604.
 2014 10 26619.
 2014 11 89703·
 2014 12 12679.
 2015 01  4668.
 2015 02  46603.
 2015 03  0540·
 2015 04  32576.
 2015 05  62604·
 2015 06  44610.
 2015 07  67589·
 2015 08  79553.
 2015 09  41612·
 2015 10  2646·
 2015 11  3679.
 2015 12  99681·
 2016 01 17683·
 2016 02 27709·
 2016 03 45724.
 2016 04 61590·
 2016 05 90624·
 2016 06 49553.
 2016 07 56556.
 2016 08 58610.
 2016 09 86668·
 2016 10 26672·
 2016 11 24691·
 2016 12 11624.
 2017 01  55633.
 2017 02  40578.
 2017 03  62609.
 2017 04  62617·
 2017 05  73600·
 2017 06  97601·
 2017 07  9579.
 2017 08  82601.


 2017 09  39623·
 2017 10  28564·
 2017 11  26641·
 2017 12  64651·
 2018 01 79688·
 2018 02 90721.
 2018 03 2761·
 2018 04 27719.
 2018 05 44659.
 2018 06 66736.
 2018 07 49742.
 2018 08 17699.
 2018 09 8711·
 2018 10 61704·
 2018 11 6626·
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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: Wholesale trade, 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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