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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 5917406.
 2000 02 6517088·
 2000 03 816984.
 2000 04 6017136.
 2000 05 1516847·
 2000 06 7216799·
 2000 07 3017239.
 2000 08 1917486.
 2000 09 5017246.
 2000 10 8917482.
 2000 11 6517145.
 2000 12 9017248·
 2001 01  1416724·
 2001 02  016811·
 2001 03  2716903.
 2001 04  1616754.
 2001 05  8216785·
 2001 06  916867·
 2001 07  5317014.
 2001 08  6717011.
 2001 09  5617026·
 2001 10  4917003.
 2001 11  516843·
 2001 12  3617014.
 2002 01 6016443·
 2002 02 7716297·
 2002 03 7316516·
 2002 04 4316501.
 2002 05 4516965.
 2002 06 7417347.
 2002 07 6917397.
 2002 08 3217322·
 2002 09 8616966.
 2002 10 4717022.
 2002 11 3017244.
 2002 12 7217578·
 2003 01  8317211·
 2003 02  2717287·
 2003 03  2017116.
 2003 04  5717204·
 2003 05  6317087·
 2003 06  7217285.
 2003 07  2717650.
 2003 08  617584·
 2003 09  7517558·
 2003 10  6217711.
 2003 11  6318308.
 2003 12  6418393.
 2004 01 9417877·
 2004 02 417817.
 2004 03 6617092·
 2004 04 9917074·
 2004 05 2217141.
 2004 06 3117073·
 2004 07 017798·
 2004 08 617655·
 2004 09 8317475·
 2004 10 9817865.
 2004 11 5117975.
 2004 12 418049.
 2005 01  2817818.
 2005 02  8817979·
 2005 03  3417745·
 2005 04  3617907·
 2005 05  3317883·
 2005 06  617516.
 2005 07  8518130.
 2005 08  7318286.
 2005 09  9718113·
 2005 10  8518267.
 2005 11  6918473·
 2005 12  818561·
 2006 01 4618265·
 2006 02 8117934.
 2006 03 7117999.
 2006 04 6118043.
 2006 05 3117981.
 2006 06 7618114.
 2006 07 718005·
 2006 08 7517746.
 2006 09 2717638.
 2006 10 7717622·
 2006 11 1318103·
 2006 12 2018063·
 2007 01  3317735·
 2007 02  1417345·
 2007 03  5217338.
 2007 04  9017564·
 2007 05  7717334.
 2007 06  4617916.
 2007 07  1217771.
 2007 08  317088.
 2007 09  816997·
 2007 10  5317130·
 2007 11  717403·
 2007 12  517601.
 2008 01 117401.
 2008 02 4217280·
 2008 03 7417294·
 2008 04 6417314·
 2008 05 5617121·
 2008 06 4417079.
 2008 07 7516991·
 2008 08 7516951·
 2008 09 017150.
 2008 10 1717124.
 2008 11 9916973.
 2008 12 5617160.
 2009 01  8316470·
 2009 02  4216711.
 2009 03  5916622·
 2009 04  5116368.
 2009 05  8016425·
 2009 06  2616559.
 2009 07  9316443.
 2009 08  3116385·
 2009 09  9116090.
 2009 10  016000.
 2009 11  6316290.
 2009 12  8816471·
 2010 01 4216430.
 2010 02 2116454·
 2010 03 5716570.
 2010 04 4316581·
 2010 05 8316203.
 2010 06 7016276·
 2010 07 8816131.
 2010 08 3816206.
 2010 09 8916312·
 2010 10 5416332.
 2010 11 9516719.
 2010 12 4516725·
 2011 01  6216638.
 2011 02  616469·
 2011 03  4016326.
 2011 04  5516289.
 2011 05  2516260.
 2011 06  8116078.
 2011 07  1016232·
 2011 08  9016189.
 2011 09  3116430·
 2011 10  6116574·
 2011 11  2016644·
 2011 12  9216576·
 2012 01 5416070.
 2012 02 5215954·
 2012 03 616195.
 2012 04 3116037.
 2012 05 9416061.
 2012 06 8716249·
 2012 07 3116317·
 2012 08 116128.
 2012 09 7716160.
 2012 10 2216310·
 2012 11 8516379·
 2012 12 2116306·
 2013 01  5316055.
 2013 02  3915641·
 2013 03  7815632·
 2013 04  3615932·
 2013 05  9816039.
 2013 06  4416017·
 2013 07  5016127.
 2013 08  1515954.
 2013 09  1315753.
 2013 10  6915791.
 2013 11  6316038.
 2013 12  5016040.
 2014 01 2115872·
 2014 02 7116038.
 2014 03 516204·
 2014 04 6316343.
 2014 05 7516035.
 2014 06 3116122.
 2014 07 8816292·
 2014 08 9715860·
 2014 09 4816056·
 2014 10 5516354·
 2014 11 5216689.
 2014 12 2016873.
 2015 01  4316435·
 2015 02  7716459·
 2015 03  5816227·
 2015 04  2816050·
 2015 05  8316178·
 2015 06  5116105·
 2015 07  9516019.
 2015 08  4016127.
 2015 09  2016058·
 2015 10  6016101·
 2015 11  7616323·
 2015 12  9816273.
 2016 01 2816160.
 2016 02 1116279.
 2016 03 3816162·
 2016 04 7415655·
 2016 05 915693·
 2016 06 3415721.
 2016 07 4416109·
 2016 08 6016118.
 2016 09 8815965·
 2016 10 8816144·
 2016 11 8216361·
 2016 12 7616244·
 2017 01  1416423.
 2017 02  5316240·
 2017 03  6516043.
 2017 04  6615885.


 2017 05  6415418·
 2017 06  3515596.
 2017 07  3215988.
 2017 08  015869.
 2017 09  3716296.
 2017 10  6816008.
 2017 11  4416206.
 2017 12  7016236·
 2018 01 6015842.
 2018 02 715910·
 2018 03 8915887·
 2018 04 9715630.
 2018 05 8215581.
 2018 06 3316064.
 2018 07 8216067.
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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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