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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 6817406·
 2000 02 3817088.
 2000 03 6816984·
 2000 04 7317136·
 2000 05 9316847·
 2000 06 6816799·
 2000 07 4317239.
 2000 08 9117486·
 2000 09 6617246.
 2000 10 7917482.
 2000 11 117145·
 2000 12 8917248·
 2001 01  3716724.
 2001 02  5116811.
 2001 03  5416903.
 2001 04  1116754·
 2001 05  8116785·
 2001 06  9116867·
 2001 07  4017014.
 2001 08  2717011·
 2001 09  9917026·
 2001 10  3017003·
 2001 11  2116843.
 2001 12  3017014.
 2002 01 1616443.
 2002 02 2616297.
 2002 03 8716516·
 2002 04 3916501·
 2002 05 8316965.
 2002 06 5917347·
 2002 07 4917397.
 2002 08 9917322.
 2002 09 7416966·
 2002 10 3817022.
 2002 11 4517244.
 2002 12 7817578.
 2003 01  9117211·
 2003 02  9217287.
 2003 03  3917116·
 2003 04  7117204.
 2003 05  5917087.
 2003 06  7917285·
 2003 07  1817650.
 2003 08  9817584.
 2003 09  2817558.
 2003 10  8117711·
 2003 11  9518308.
 2003 12  218393·
 2004 01 7317877·
 2004 02 417817.
 2004 03 917092·
 2004 04 5217074·
 2004 05 9517141·
 2004 06 7917073·
 2004 07 2117798·
 2004 08 4217655.
 2004 09 2017475·
 2004 10 6417865·
 2004 11 2017975·
 2004 12 9218049.
 2005 01  9717818.
 2005 02  4117979.
 2005 03  1917745.
 2005 04  4617907.
 2005 05  217883·
 2005 06  1417516.
 2005 07  5618130·
 2005 08  7318286·
 2005 09  3618113·
 2005 10  1718267.
 2005 11  9318473.
 2005 12  6618561.
 2006 01 2318265.
 2006 02 617934.
 2006 03 1817999·
 2006 04 4618043·
 2006 05 1517981·
 2006 06 6318114.
 2006 07 4518005.
 2006 08 5617746.
 2006 09 8617638·
 2006 10 9417622·
 2006 11 1118103.
 2006 12 6618063.
 2007 01  3717735·
 2007 02  3117345·
 2007 03  7917338·
 2007 04  6917564·
 2007 05  9417334.
 2007 06  3017916.
 2007 07  3717771.
 2007 08  8517088·
 2007 09  716997.
 2007 10  7417130·
 2007 11  9817403.
 2007 12  5817601·
 2008 01 5017401.
 2008 02 6817280.
 2008 03 9917294·
 2008 04 5617314.
 2008 05 2617121.
 2008 06 4517079.
 2008 07 516991·
 2008 08 7516951.
 2008 09 5817150·
 2008 10 6117124·
 2008 11 216973.
 2008 12 3417160·
 2009 01  9716470.
 2009 02  9716711.
 2009 03  316622·
 2009 04  7516368.
 2009 05  2016425·
 2009 06  6116559.
 2009 07  4616443.
 2009 08  7016385.
 2009 09  2516090.
 2009 10  8416000·
 2009 11  9516290·
 2009 12  1016471.
 2010 01 3916430·
 2010 02 2316454·
 2010 03 3716570·
 2010 04 1716581.
 2010 05 1216203·
 2010 06 5916276.
 2010 07 8516131.
 2010 08 3416206.
 2010 09 1916312·
 2010 10 9916332.
 2010 11 7616719.
 2010 12 3016725·
 2011 01  6116638·
 2011 02  7416469·
 2011 03  7516326·
 2011 04  9916289.
 2011 05  6316260.
 2011 06  4216078·
 2011 07  6816232·
 2011 08  6116189.
 2011 09  7616430.
 2011 10  8316574.
 2011 11  6916644·
 2011 12  5916576·
 2012 01 7416070·
 2012 02 515954.
 2012 03 1516195.
 2012 04 6316037.
 2012 05 5916061.
 2012 06 4016249.
 2012 07 6916317·
 2012 08 6616128.
 2012 09 5516160.
 2012 10 4316310.
 2012 11 2016379.
 2012 12 8916306.
 2013 01  1316055·
 2013 02  9615641.
 2013 03  8015632.
 2013 04  7515932·
 2013 05  916039.
 2013 06  616017.
 2013 07  8716127·
 2013 08  9315954·
 2013 09  4315753·
 2013 10  615791·
 2013 11  316038.
 2013 12  3716040.
 2014 01 3915872·
 2014 02 5016038·
 2014 03 1816204.
 2014 04 2716343.
 2014 05 5016035·
 2014 06 2216122.
 2014 07 4316292.
 2014 08 715860.
 2014 09 4916056·
 2014 10 2716354.
 2014 11 1716689·
 2014 12 4516873.
 2015 01  3816435.
 2015 02  9716459·
 2015 03  216227.
 2015 04  3716050.
 2015 05  4216178.
 2015 06  8916105·
 2015 07  8616019.
 2015 08  016127·
 2015 09  1016058·
 2015 10  8516101.
 2015 11  8316323.
 2015 12  8016273·
 2016 01 2016160·
 2016 02 9116279.
 2016 03 3016162.
 2016 04 4515655.
 2016 05 7015693.
 2016 06 3915721·
 2016 07 9016109.
 2016 08 9016118·
 2016 09 8615965.
 2016 10 8516144·
 2016 11 5116361.
 2016 12 3316244·
 2017 01  2016423.
 2017 02  1216240·
 2017 03  2516043.
 2017 04  1915885.
 2017 05  4515418.
 2017 06  2515596.


 2017 07  5215988·
 2017 08  1715869.
 2017 09  6316296.
 2017 10  5616008.
 2017 11  9216206.
 2017 12  2116236·
 2018 01 9915842.
 2018 02 6315910·
 2018 03 3615887·
 2018 04 5115630·
 2018 05 315581·
 2018 06 2616064.
 2018 07 9516067.
 2018 08 5016062.
 2018 09 5115937·
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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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