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 Series Title: Employed: Wholesale and retail trade, White: 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 7017406·
 2000 02 8717088.
 2000 03 6016984·
 2000 04 8717136·
 2000 05 8916847·
 2000 06 8716799.
 2000 07 717239·
 2000 08 417486·
 2000 09 1217246·
 2000 10 2417482·
 2000 11 9317145.
 2000 12 5617248·
 2001 01  8816724.
 2001 02  7816811·
 2001 03  3016903.
 2001 04  8916754·
 2001 05  9516785.
 2001 06  5716867·
 2001 07  5617014·
 2001 08  7117011·
 2001 09  3117026·
 2001 10  9117003·
 2001 11  3416843·
 2001 12  9717014.
 2002 01 2316443·
 2002 02 3816297·
 2002 03 5216516·
 2002 04 8616501.
 2002 05 2116965.
 2002 06 8017347.
 2002 07 2317397.
 2002 08 8117322.
 2002 09 016966·
 2002 10 2217022.
 2002 11 8517244·
 2002 12 5317578.
 2003 01  6017211·
 2003 02  9617287.
 2003 03  117116.
 2003 04  9417204·
 2003 05  2817087.
 2003 06  6017285.
 2003 07  5817650.
 2003 08  2517584·
 2003 09  5217558·
 2003 10  9417711·
 2003 11  6918308.
 2003 12  8918393·
 2004 01 1017877.
 2004 02 517817.
 2004 03 7317092·
 2004 04 5617074·
 2004 05 017141.
 2004 06 2617073.
 2004 07 3217798·
 2004 08 2017655·
 2004 09 5017475·
 2004 10 1217865.
 2004 11 3417975.
 2004 12 9918049·
 2005 01  817818.
 2005 02  4617979·
 2005 03  9217745.
 2005 04  3917907·
 2005 05  5017883·
 2005 06  3417516.
 2005 07  4318130.
 2005 08  718286.
 2005 09  7718113.
 2005 10  718267·
 2005 11  5218473.
 2005 12  9918561·
 2006 01 1418265·
 2006 02 2217934.
 2006 03 517999·
 2006 04 3318043.
 2006 05 1217981·
 2006 06 6118114·
 2006 07 1618005.
 2006 08 5417746.
 2006 09 4517638.
 2006 10 3117622.
 2006 11 2218103·
 2006 12 3118063·
 2007 01  1517735.
 2007 02  6317345.
 2007 03  8717338·
 2007 04  5717564·
 2007 05  4717334.
 2007 06  1317916·
 2007 07  9817771.
 2007 08  5217088·
 2007 09  9016997·
 2007 10  6417130·
 2007 11  6817403.
 2007 12  6117601.
 2008 01 2117401·
 2008 02 2217280·
 2008 03 3517294·
 2008 04 5117314·
 2008 05 4017121.
 2008 06 1917079.
 2008 07 6216991.
 2008 08 1816951·
 2008 09 7217150.
 2008 10 1117124·
 2008 11 3616973.
 2008 12 8117160.
 2009 01  6716470.
 2009 02  8116711.
 2009 03  7216622·
 2009 04  8316368.
 2009 05  216425.
 2009 06  3316559·
 2009 07  516443.
 2009 08  9416385·
 2009 09  7616090.
 2009 10  116000.
 2009 11  116290.
 2009 12  916471·
 2010 01 1416430.
 2010 02 4116454.
 2010 03 4516570.
 2010 04 4516581.
 2010 05 6816203.
 2010 06 3516276·
 2010 07 5216131.
 2010 08 4716206.
 2010 09 1316312.
 2010 10 8816332·
 2010 11 5916719.
 2010 12 8516725·
 2011 01  4816638·
 2011 02  3416469.
 2011 03  3016326.
 2011 04  5216289·
 2011 05  016260·
 2011 06  2816078·
 2011 07  5016232.
 2011 08  6816189.
 2011 09  1816430.
 2011 10  5216574·
 2011 11  3516644·
 2011 12  7716576·
 2012 01 7916070·
 2012 02 1315954·
 2012 03 2216195·
 2012 04 4816037·
 2012 05 8216061.
 2012 06 4216249.
 2012 07 7316317.
 2012 08 7516128.
 2012 09 5316160.
 2012 10 9616310·
 2012 11 7616379.
 2012 12 7716306.
 2013 01  4216055·
 2013 02  5715641.
 2013 03  4515632.
 2013 04  9815932.
 2013 05  2516039.
 2013 06  3116017·
 2013 07  1716127.
 2013 08  815954.
 2013 09  215753·
 2013 10  5015791·
 2013 11  5616038·
 2013 12  016040.
 2014 01 9915872.
 2014 02 7116038·
 2014 03 4816204.
 2014 04 9516343.
 2014 05 6516035.
 2014 06 7516122.
 2014 07 716292.
 2014 08 3515860.
 2014 09 7716056·
 2014 10 6916354·
 2014 11 7116689·
 2014 12 9016873·
 2015 01  3416435.
 2015 02  8416459·
 2015 03  316227.
 2015 04  5516050.
 2015 05  6216178.
 2015 06  7816105·
 2015 07  9016019·
 2015 08  4816127·
 2015 09  1216058·
 2015 10  3116101·
 2015 11  4616323.
 2015 12  1316273·
 2016 01 5816160·
 2016 02 5116279·
 2016 03 816162·
 2016 04 2015655.
 2016 05 215693·
 2016 06 6915721·
 2016 07 4016109·
 2016 08 6316118·
 2016 09 6815965.
 2016 10 4116144.
 2016 11 2816361·
 2016 12 6116244·
 2017 01  716423·
 2017 02  5016240·
 2017 03  8716043.
 2017 04  5815885·
 2017 05  9515418·
 2017 06  215596.
 2017 07  5415988.
 2017 08  2315869·


 2017 09  3116296·
 2017 10  2916008.
 2017 11  9116206.
 2017 12  5016236.
 2018 01 4215842.
 2018 02 8615910·
 2018 03 8715887·
 2018 04 5915630.
 2018 05 7715581.
 2018 06 5716064.
 2018 07 5516067.
 2018 08 9316062.
 2018 09 1215937·
 2018 10 4816114·
 2018 11 3216208·
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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, White: 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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