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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 4513766·
 2000 02 613403.
 2000 03 4213189.
 2000 04 2413288·
 2000 05 4813183·
 2000 06 1013235·
 2000 07 1113704·
 2000 08 8113816·
 2000 09 2913483·
 2000 10 2413657.
 2000 11 9313371.
 2000 12 4913578·
 2001 01  4013267.
 2001 02  3113287.
 2001 03  213286.
 2001 04  7213217.
 2001 05  5613267.
 2001 06  3813282.
 2001 07  7413593·
 2001 08  1913646·
 2001 09  7613536.
 2001 10  7513329·
 2001 11  7413275·
 2001 12  8513420.
 2002 01 2712911.
 2002 02 012840.
 2002 03 8913053.
 2002 04 8912927.
 2002 05 5813217·
 2002 06 9413573.
 2002 07 3113665.
 2002 08 7513542.
 2002 09 4613257.
 2002 10 6313328·
 2002 11 3913545·
 2002 12 1113953·
 2003 01  9113572·
 2003 02  4013607.
 2003 03  7613315.
 2003 04  9313466.
 2003 05  1713411.
 2003 06  8213435.
 2003 07  3013644.
 2003 08  3913530·
 2003 09  7613370.
 2003 10  6913493·
 2003 11  1314021.
 2003 12  9414219.
 2004 01 4213744.
 2004 02 813841.
 2004 03 6313136.
 2004 04 2613029.
 2004 05 1713318.
 2004 06 3113127·
 2004 07 4313704.
 2004 08 3013663·
 2004 09 2513491·
 2004 10 9613897.
 2004 11 4214056·
 2004 12 2414172·
 2005 01  1713956.
 2005 02  8214167·
 2005 03  7113900·
 2005 04  5413899.
 2005 05  6813930·
 2005 06  9713649.
 2005 07  6914032.
 2005 08  8814215.
 2005 09  8014094.
 2005 10  7314150.
 2005 11  014320·
 2005 12  2014467·
 2006 01 7614229·
 2006 02 6613972·
 2006 03 4914158·
 2006 04 6914163·
 2006 05 714027.
 2006 06 5814060.
 2006 07 3213961.
 2006 08 8013704.
 2006 09 5013595.
 2006 10 5513513.
 2006 11 8414067.
 2006 12 2214102·
 2007 01  413800·
 2007 02  9013579.
 2007 03  7113730.
 2007 04  8913811.
 2007 05  9413712·
 2007 06  1814161.
 2007 07  7813900.
 2007 08  9913318.
 2007 09  7113249.
 2007 10  2213507·
 2007 11  1913710·
 2007 12  9814004.
 2008 01 1113935·
 2008 02 813827.
 2008 03 3313834·
 2008 04 5413844·
 2008 05 1413566·
 2008 06 713624.
 2008 07 8113536.
 2008 08 6113532·
 2008 09 513643·
 2008 10 7713623·
 2008 11 5213532.
 2008 12 3913727.
 2009 01  3413184·
 2009 02  9913436.
 2009 03  5913338·
 2009 04  3113193·
 2009 05  7813076.
 2009 06  8013205.
 2009 07  3912958.
 2009 08  813007.
 2009 09  3612770·
 2009 10  5012776·
 2009 11  5613060.
 2009 12  6213227·
 2010 01 3413225·
 2010 02 6813197.
 2010 03 9713406.
 2010 04 1413336.
 2010 05 2112961·
 2010 06 1412927·
 2010 07 7612788·
 2010 08 612886.
 2010 09 7513015.
 2010 10 9613110·
 2010 11 2913401.
 2010 12 913563·
 2011 01  9413344.
 2011 02  4413102·
 2011 03  2112952.
 2011 04  1712995·
 2011 05  513030.
 2011 06  1612906.
 2011 07  3812972·
 2011 08  4812967.
 2011 09  5713199·
 2011 10  9213242.
 2011 11  9413406·
 2011 12  4713384·
 2012 01 2712991.
 2012 02 8112951·
 2012 03 2713101.
 2012 04 8312902.
 2012 05 1412836·
 2012 06 1312986·
 2012 07 013039.
 2012 08 5012907.
 2012 09 4412860·
 2012 10 4513077.
 2012 11 013153·
 2012 12 6713267·
 2013 01  6713025·
 2013 02  5812641.
 2013 03  4012575·
 2013 04  7912930.
 2013 05  5913031.
 2013 06  6012867·
 2013 07  5912895·
 2013 08  5412796.
 2013 09  2012560.
 2013 10  8212668·
 2013 11  1912915.
 2013 12  8712940.
 2014 01 7612674.
 2014 02 8112868·
 2014 03 713116·
 2014 04 9613296.
 2014 05 7613050·
 2014 06 3713156.
 2014 07 3813285·
 2014 08 2712885·
 2014 09 9613008.
 2014 10 5913348.
 2014 11 4913551·
 2014 12 4813641·
 2015 01  3813198·
 2015 02  7713262·
 2015 03  213021.
 2015 04  5212905.
 2015 05  2513016·
 2015 06  4813042·
 2015 07  8613095·
 2015 08  6113135.
 2015 09  913118·
 2015 10  5413100.
 2015 11  1313347.
 2015 12  1613356·
 2016 01 6413172·
 2016 02 213192.
 2016 03 2212983·
 2016 04 8812630·
 2016 05 9212638.
 2016 06 2312704·
 2016 07 7513018.
 2016 08 7113090.
 2016 09 1712975.
 2016 10 7313221.
 2016 11 6013388.
 2016 12 8413368.
 2017 01  9013521.
 2017 02  3413419.
 2017 03  9013147.
 2017 04  7112972·


 2017 05  8712681·
 2017 06  1412779·
 2017 07  312969.
 2017 08  212835.
 2017 09  713051.
 2017 10  4312890.
 2017 11  6213184.
 2017 12  6913207.
 2018 01 7712862.
 2018 02 7912918·
 2018 03 5512783·
 2018 04 9312476·
 2018 05 4612447.
 2018 06 212858·
 2018 07 9412959.
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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

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