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 Series Title: Employed: 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 2113766·
 2000 02 5713403.
 2000 03 9713189.
 2000 04 8713288·
 2000 05 9813183·
 2000 06 413235.
 2000 07 7713704·
 2000 08 2413816·
 2000 09 3013483·
 2000 10 3613657·
 2000 11 4713371.
 2000 12 4813578.
 2001 01  6513267.
 2001 02  3713287·
 2001 03  1713286.
 2001 04  213217·
 2001 05  8013267·
 2001 06  1213282.
 2001 07  2713593.
 2001 08  5513646.
 2001 09  7513536·
 2001 10  9213329.
 2001 11  3913275.
 2001 12  213420·
 2002 01 7612911.
 2002 02 3512840.
 2002 03 4013053.
 2002 04 6212927·
 2002 05 3213217.
 2002 06 2213573·
 2002 07 4513665.
 2002 08 7813542.
 2002 09 1913257·
 2002 10 6113328.
 2002 11 9013545·
 2002 12 2113953·
 2003 01  3813572·
 2003 02  8113607·
 2003 03  3913315·
 2003 04  8413466·
 2003 05  1413411·
 2003 06  4113435.
 2003 07  8013644·
 2003 08  8513530·
 2003 09  9813370.
 2003 10  2113493.
 2003 11  2514021·
 2003 12  7114219·
 2004 01 6413744·
 2004 02 2913841.
 2004 03 1213136.
 2004 04 913029·
 2004 05 1313318·
 2004 06 9613127.
 2004 07 513704·
 2004 08 9413663·
 2004 09 7113491.
 2004 10 7813897.
 2004 11 9014056.
 2004 12 4414172·
 2005 01  8713956·
 2005 02  5814167.
 2005 03  8213900·
 2005 04  513899.
 2005 05  3813930·
 2005 06  4113649·
 2005 07  1714032·
 2005 08  4414215·
 2005 09  2414094·
 2005 10  6014150·
 2005 11  6014320·
 2005 12  5714467.
 2006 01 7014229.
 2006 02 7213972·
 2006 03 9614158·
 2006 04 6314163.
 2006 05 2614027·
 2006 06 5714060·
 2006 07 4113961·
 2006 08 413704.
 2006 09 6813595·
 2006 10 2313513·
 2006 11 3114067.
 2006 12 5214102·
 2007 01  9713800.
 2007 02  113579·
 2007 03  2913730.
 2007 04  9913811·
 2007 05  3713712.
 2007 06  4814161.
 2007 07  2313900·
 2007 08  6613318.
 2007 09  3913249·
 2007 10  4513507.
 2007 11  2713710.
 2007 12  9514004·
 2008 01 7813935·
 2008 02 9913827·
 2008 03 7813834·
 2008 04 5713844·
 2008 05 5513566·
 2008 06 4213624·
 2008 07 3813536·
 2008 08 4513532·
 2008 09 9613643.
 2008 10 3013623·
 2008 11 9613532·
 2008 12 7913727·
 2009 01  5013184·
 2009 02  4513436.
 2009 03  6513338.
 2009 04  213193.
 2009 05  9313076·
 2009 06  9413205·
 2009 07  8312958·
 2009 08  8513007.
 2009 09  2612770·
 2009 10  812776.
 2009 11  1113060.
 2009 12  2013227·
 2010 01 7313225·
 2010 02 4413197.
 2010 03 4013406.
 2010 04 2713336.
 2010 05 8612961·
 2010 06 8412927·
 2010 07 8012788·
 2010 08 5012886.
 2010 09 3913015·
 2010 10 3413110.
 2010 11 7113401·
 2010 12 5913563.
 2011 01  3313344.
 2011 02  2513102·
 2011 03  7512952.
 2011 04  4812995·
 2011 05  9313030·
 2011 06  1512906.
 2011 07  7912972.
 2011 08  3512967·
 2011 09  7013199·
 2011 10  8513242.
 2011 11  9713406.
 2011 12  6513384·
 2012 01 3912991·
 2012 02 4212951·
 2012 03 6713101.
 2012 04 712902·
 2012 05 112836.
 2012 06 1712986.
 2012 07 5213039·
 2012 08 5412907.
 2012 09 8012860.
 2012 10 6813077·
 2012 11 3913153.
 2012 12 2813267·
 2013 01  2813025·
 2013 02  7512641·
 2013 03  4212575.
 2013 04  7012930·
 2013 05  2013031.
 2013 06  4512867·
 2013 07  9712895.
 2013 08  5112796.
 2013 09  5512560·
 2013 10  1012668·
 2013 11  6912915.
 2013 12  6512940.
 2014 01 6012674·
 2014 02 2712868.
 2014 03 4513116·
 2014 04 3013296.
 2014 05 8513050.
 2014 06 7713156.
 2014 07 3813285.
 2014 08 9212885·
 2014 09 613008.
 2014 10 6713348·
 2014 11 8613551·
 2014 12 1813641.
 2015 01  2113198.
 2015 02  2913262·
 2015 03  5113021·
 2015 04  412905·
 2015 05  5813016·
 2015 06  1813042.
 2015 07  2213095.
 2015 08  6813135·
 2015 09  6613118.
 2015 10  1813100.
 2015 11  1113347·
 2015 12  5413356·
 2016 01 2213172.
 2016 02 3413192.
 2016 03 5712983·
 2016 04 3212630·
 2016 05 2412638.
 2016 06 9812704·
 2016 07 2213018·
 2016 08 9613090·
 2016 09 9912975.
 2016 10 6613221·
 2016 11 9413388·
 2016 12 6513368·
 2017 01  9713521.
 2017 02  2113419.
 2017 03  8713147·
 2017 04  8312972.
 2017 05  9312681.
 2017 06  6912779·
 2017 07  3712969·
 2017 08  1912835·
 2017 09  8813051.
 2017 10  4212890·
 2017 11  813184.


 2017 12  6713207.
 2018 01 712862.
 2018 02 9612918·
 2018 03 8812783·
 2018 04 4712476·
 2018 05 012447.
 2018 06 1312858.
 2018 07 8912959·
 2018 08 313072·
 2018 09 4412857·
 2018 10 9912989·
 2018 11 5013286·
 2018 12 313216·
 2019 01  3812526.
 2019 02  8712426·
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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: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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