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 Series Title: Employed: Wholesale trade, Hispanic or Latino: NSA
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 2000 01 35530.
 2000 02 43595.
 2000 03 34552.
 2000 04 99572·
 2000 05 52608·
 2000 06 9589·
 2000 07 89609.
 2000 08 40607·
 2000 09 91640·
 2000 10 30558.
 2000 11 1538·
 2000 12 36526.
 2001 01  4463·
 2001 02  87608·
 2001 03  83588.
 2001 04  31557·
 2001 05  65535·
 2001 06  88508·
 2001 07  73496·
 2001 08  95484·
 2001 09  75509.
 2001 10  63544·
 2001 11  34540.
 2001 12  21542·
 2002 01 59536.
 2002 02 69488.
 2002 03 54475·
 2002 04 28528.
 2002 05 67549·
 2002 06 88528·
 2002 07 45600.
 2002 08 61601.
 2002 09 76609·
 2002 10 27608·
 2002 11 46579·
 2002 12 88563·
 2003 01  85528·
 2003 02  17540·
 2003 03  19552.
 2003 04  5512.
 2003 05  19575.
 2003 06  15631·
 2003 07  52601·
 2003 08  29565.
 2003 09  30649·
 2003 10  2598.
 2003 11  59634.
 2003 12  6632.
 2004 01 92604·
 2004 02 85560.
 2004 03 76570·
 2004 04 4617.
 2004 05 6611.
 2004 06 96705·
 2004 07 68691.
 2004 08 17614.
 2004 09 97613.
 2004 10 92562·
 2004 11 22575·
 2004 12 65626·
 2005 01  16553.
 2005 02  54563·
 2005 03  50587·
 2005 04  92614·
 2005 05  38627.
 2005 06  88626·
 2005 07  91649·
 2005 08  67637.
 2005 09  63664·
 2005 10  27702·
 2005 11  7660.
 2005 12  84661.
 2006 01 18613·
 2006 02 26577·
 2006 03 87558.
 2006 04 62586.
 2006 05 51640.
 2006 06 68599·
 2006 07 43616·
 2006 08 45638·
 2006 09 39644·
 2006 10 60670.
 2006 11 13639.
 2006 12 2633·
 2007 01  82644·
 2007 02  32603.
 2007 03  60566.
 2007 04  29656.
 2007 05  6599·
 2007 06  42638.
 2007 07  73698·
 2007 08  43646.
 2007 09  60636.
 2007 10  71589.
 2007 11  63646·
 2007 12  89647.
 2008 01 21618·
 2008 02 26599·
 2008 03 69633.
 2008 04 35640.
 2008 05 88652·
 2008 06 38575.
 2008 07 53604.
 2008 08 77533·
 2008 09 87581.
 2008 10 65562·
 2008 11 4519.
 2008 12 34547·
 2009 01  68506.
 2009 02  87527.
 2009 03  35502·
 2009 04  48514·
 2009 05  7571·
 2009 06  11586.
 2009 07  83615·
 2009 08  91620.
 2009 09  4600.
 2009 10  70557.
 2009 11  11553.
 2009 12  55556·
 2010 01 85546·
 2010 02 19497.
 2010 03 7523·
 2010 04 59574.
 2010 05 0579.
 2010 06 41618·
 2010 07 84576.
 2010 08 49566.
 2010 09 24568.
 2010 10 41570·
 2010 11 80604·
 2010 12 93549·
 2011 01  58611.
 2011 02  52596·
 2011 03  58634·
 2011 04  85629·
 2011 05  26629·
 2011 06  30600·
 2011 07  5653·
 2011 08  45572·
 2011 09  81576.
 2011 10  57587·
 2011 11  35507·
 2011 12  16533.
 2012 01 96537.
 2012 02 40491.
 2012 03 86540·
 2012 04 68560·
 2012 05 72613·
 2012 06 10645.
 2012 07 19708·
 2012 08 95651.
 2012 09 35714·
 2012 10 23657.
 2012 11 24680.
 2012 12 15629·
 2013 01  35594.
 2013 02  62629.
 2013 03  13591.
 2013 04  74575.
 2013 05  48568.
 2013 06  33547·
 2013 07  25575.
 2013 08  40562.
 2013 09  73590·
 2013 10  68599.
 2013 11  21571.
 2013 12  8546.
 2014 01 37605.
 2014 02 23581.
 2014 03 89536.
 2014 04 96542·
 2014 05 89489·
 2014 06 80463·
 2014 07 44551.
 2014 08 48551.
 2014 09 5604.
 2014 10 45619.
 2014 11 22703·
 2014 12 35679·
 2015 01  86668·
 2015 02  51603·
 2015 03  86540.
 2015 04  49576.
 2015 05  56604·
 2015 06  54610.
 2015 07  25589.
 2015 08  11553.
 2015 09  67612·
 2015 10  36646·
 2015 11  51679.
 2015 12  64681.
 2016 01 93683·
 2016 02 2709.
 2016 03 2724.
 2016 04 77590·
 2016 05 35624.
 2016 06 85553.
 2016 07 41556·
 2016 08 45610·
 2016 09 18668.
 2016 10 42672.
 2016 11 57691·
 2016 12 86624·
 2017 01  93633·
 2017 02  54578·
 2017 03  60609.
 2017 04  45617.
 2017 05  35600·
 2017 06  28601·


 2017 07  91579·
 2017 08  91601.
 2017 09  45623·
 2017 10  95564·
 2017 11  11641·
 2017 12  19651.
 2018 01 48688·
 2018 02 12721.
 2018 03 9761.
 2018 04 46719·
 2018 05 94659·
 2018 06 61736·
 2018 07 97742·
 2018 08 18699·
 2018 09 58711.
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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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