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 Series Title: Employed: Wholesale and retail trade, Asian: NSA
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 2000 01 32901·
 2000 02 15883·
 2000 03 0775.
 2000 04 81809.
 2000 05 81840·
 2000 06 21829·
 2000 07 27904·
 2000 08 52943·
 2000 09 33882·
 2000 10 62856.
 2000 11 92822.
 2000 12 59862·
 2001 01  40884·
 2001 02  21915.
 2001 03  8861.
 2001 04  47864·
 2001 05  76899.
 2001 06  5860·
 2001 07  14892·
 2001 08  84890.
 2001 09  42901·
 2001 10  44898·
 2001 11  72869.
 2001 12  64826.
 2002 01 64789·
 2002 02 95818.
 2002 03 70752.
 2002 04 8843·
 2002 05 91768·
 2002 06 41836·
 2002 07 21970·
 2002 08 58976.
 2002 09 99926.
 2002 10 88965.
 2002 11 62907.
 2002 12 84875·
 2003 01  90793.
 2003 02  67761·
 2003 03  57704.
 2003 04  80773·
 2003 05  87831.
 2003 06  35896.
 2003 07  94987·
 2003 08  66932.
 2003 09  41913.
 2003 10  74797.
 2003 11  85893·
 2003 12  85997·
 2004 01 28940·
 2004 02 91857.
 2004 03 68835.
 2004 04 6810·
 2004 05 49855·
 2004 06 16952.
 2004 07 7945·
 2004 08 24977·
 2004 09 27854·
 2004 10 7851·
 2004 11 89880·
 2004 12 59888·
 2005 01  15925.
 2005 02  45977.
 2005 03  261039·
 2005 04  53936·
 2005 05  87905.
 2005 06  37902.
 2005 07  58914.
 2005 08  76910·
 2005 09  44878·
 2005 10  15881.
 2005 11  46885.
 2005 12  22871.
 2006 01 11887.
 2006 02 35900·
 2006 03 79893.
 2006 04 11857·
 2006 05 38877.
 2006 06 79836.
 2006 07 70874.
 2006 08 87893·
 2006 09 1900·
 2006 10 54906.
 2006 11 56919·
 2006 12 18971·
 2007 01  1895.
 2007 02  90969.
 2007 03  0955·
 2007 04  99951.
 2007 05  62922.
 2007 06  45878.
 2007 07  90823·
 2007 08  49855·
 2007 09  35847.
 2007 10  1942.
 2007 11  401048·
 2007 12  121015·
 2008 01 96988·
 2008 02 64874·
 2008 03 87831·
 2008 04 58884.
 2008 05 44787.
 2008 06 65810.
 2008 07 93854·
 2008 08 79878·
 2008 09 6919·
 2008 10 62975·
 2008 11 481016·
 2008 12 97970·
 2009 01  31889.
 2009 02  36942.
 2009 03  63894.
 2009 04  54925·
 2009 05  95995·
 2009 06  93994·
 2009 07  76978·
 2009 08  19928·
 2009 09  99938·
 2009 10  66935.
 2009 11  51900.
 2009 12  88856.
 2010 01 67805·
 2010 02 11815.
 2010 03 76817·
 2010 04 79907.
 2010 05 51887.
 2010 06 9913·
 2010 07 621028.
 2010 08 361010·
 2010 09 25976.
 2010 10 67942·
 2010 11 49953.
 2010 12 29874·
 2011 01  90789.
 2011 02  17867.
 2011 03  99832·
 2011 04  51893.
 2011 05  71956.
 2011 06  161003·
 2011 07  99933·
 2011 08  21884.
 2011 09  19869.
 2011 10  45900.
 2011 11  64908·
 2011 12  85889.
 2012 01 101004.
 2012 02 101005.
 2012 03 30957.
 2012 04 10909·
 2012 05 42965·
 2012 06 441064.
 2012 07 611023.
 2012 08 921069·
 2012 09 431080·
 2012 10 3989.
 2012 11 44979.
 2012 12 481122.
 2013 01  621042·
 2013 02  691080.
 2013 03  92986.
 2013 04  25967·
 2013 05  751020.
 2013 06  471071·
 2013 07  441062.
 2013 08  891063.
 2013 09  811026.
 2013 10  71962.
 2013 11  621033.
 2013 12  361178·
 2014 01 81104.
 2014 02 971216.
 2014 03 341174.
 2014 04 851076.
 2014 05 41099·
 2014 06 51109·
 2014 07 731148.
 2014 08 801134·
 2014 09 451035·
 2014 10 4987·
 2014 11 171052·
 2014 12 901129·
 2015 01  321116.
 2015 02  241250.
 2015 03  281260·
 2015 04  101237.
 2015 05  901223·
 2015 06  221214·
 2015 07  951200·
 2015 08  571166·
 2015 09  691079·
 2015 10  801007.
 2015 11  311013.
 2015 12  771061.
 2016 01 451067·
 2016 02 51209.
 2016 03 731281.
 2016 04 391278.
 2016 05 191171·
 2016 06 271218·
 2016 07 841234.
 2016 08 371082·
 2016 09 151143·
 2016 10 51189.
 2016 11 521171·
 2016 12 891270·
 2017 01  841224.
 2017 02  181127.
 2017 03  911200.
 2017 04  401206·


 2017 05  11230·
 2017 06  751244.
 2017 07  371196.
 2017 08  601235.
 2017 09  671169·
 2017 10  61208.
 2017 11  541156.
 2017 12  421137.
 2018 01 71119·
 2018 02 691049.
 2018 03 301044·
 2018 04 61113·
 2018 05 721173·
 2018 06 441216·
 2018 07 771173.
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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 and retail trade, Asian: 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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