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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 9113766·
 2000 02 8313403.
 2000 03 113189.
 2000 04 1013288·
 2000 05 9813183·
 2000 06 5813235.
 2000 07 8413704·
 2000 08 9713816·
 2000 09 313483.
 2000 10 6313657.
 2000 11 9813371·
 2000 12 1513578.
 2001 01  5613267.
 2001 02  8013287·
 2001 03  5813286.
 2001 04  713217·
 2001 05  3213267·
 2001 06  1413282·
 2001 07  113593·
 2001 08  4113646.
 2001 09  3313536·
 2001 10  9813329.
 2001 11  9013275·
 2001 12  1413420·
 2002 01 8212911.
 2002 02 8812840.
 2002 03 1213053·
 2002 04 4212927·
 2002 05 3013217.
 2002 06 6713573·
 2002 07 8113665.
 2002 08 7213542.
 2002 09 5413257.
 2002 10 3913328·
 2002 11 3513545·
 2002 12 7113953·
 2003 01  5313572·
 2003 02  3813607.
 2003 03  3513315.
 2003 04  3413466·
 2003 05  5313411.
 2003 06  2013435·
 2003 07  7213644.
 2003 08  8013530·
 2003 09  413370.
 2003 10  6613493.
 2003 11  5614021.
 2003 12  5314219.
 2004 01 8113744·
 2004 02 8413841.
 2004 03 2613136.
 2004 04 2213029·
 2004 05 8513318.
 2004 06 413127.
 2004 07 4613704.
 2004 08 8213663·
 2004 09 4213491·
 2004 10 8313897·
 2004 11 214056.
 2004 12 5214172·
 2005 01  113956·
 2005 02  414167.
 2005 03  813900·
 2005 04  7513899.
 2005 05  3813930·
 2005 06  7213649·
 2005 07  114032.
 2005 08  2214215.
 2005 09  5414094.
 2005 10  2014150.
 2005 11  4514320.
 2005 12  8514467.
 2006 01 7314229.
 2006 02 413972·
 2006 03 2814158.
 2006 04 8414163.
 2006 05 4714027.
 2006 06 514060·
 2006 07 6213961·
 2006 08 6413704·
 2006 09 5013595·
 2006 10 3013513.
 2006 11 8514067.
 2006 12 9314102.
 2007 01  8413800·
 2007 02  1213579·
 2007 03  6013730.
 2007 04  6613811·
 2007 05  7213712·
 2007 06  514161.
 2007 07  7513900·
 2007 08  113318·
 2007 09  6713249·
 2007 10  9313507.
 2007 11  4313710·
 2007 12  4314004·
 2008 01 4313935.
 2008 02 8213827.
 2008 03 113834·
 2008 04 6213844·
 2008 05 013566·
 2008 06 413624.
 2008 07 1413536·
 2008 08 5013532·
 2008 09 6413643.
 2008 10 1413623·
 2008 11 6813532·
 2008 12 2813727·
 2009 01  8613184·
 2009 02  9513436.
 2009 03  7613338.
 2009 04  3913193·
 2009 05  4013076.
 2009 06  5413205·
 2009 07  7612958.
 2009 08  5313007.
 2009 09  2812770·
 2009 10  2112776.
 2009 11  3213060.
 2009 12  6313227.
 2010 01 7413225.
 2010 02 5413197·
 2010 03 3113406.
 2010 04 9013336·
 2010 05 2912961.
 2010 06 3512927·
 2010 07 8612788·
 2010 08 7612886·
 2010 09 6813015.
 2010 10 6913110·
 2010 11 3513401·
 2010 12 9113563.
 2011 01  9213344·
 2011 02  8913102.
 2011 03  4012952·
 2011 04  3012995.
 2011 05  2613030·
 2011 06  5112906·
 2011 07  9012972.
 2011 08  1112967.
 2011 09  2013199.
 2011 10  3813242.
 2011 11  9813406·
 2011 12  7913384·
 2012 01 5112991.
 2012 02 5412951.
 2012 03 113101·
 2012 04 212902·
 2012 05 1712836·
 2012 06 3312986.
 2012 07 6313039.
 2012 08 7512907·
 2012 09 4612860·
 2012 10 3013077·
 2012 11 7013153.
 2012 12 1813267·
 2013 01  8613025·
 2013 02  2812641.
 2013 03  3712575·
 2013 04  7312930·
 2013 05  1413031·
 2013 06  3312867.
 2013 07  112895.
 2013 08  1012796·
 2013 09  2912560·
 2013 10  7712668.
 2013 11  2512915.
 2013 12  2412940.
 2014 01 5812674·
 2014 02 1612868·
 2014 03 9613116.
 2014 04 3413296·
 2014 05 5113050·
 2014 06 3213156.
 2014 07 2813285·
 2014 08 8312885.
 2014 09 8213008·
 2014 10 3113348·
 2014 11 5913551.
 2014 12 4113641·
 2015 01  5313198.
 2015 02  4613262·
 2015 03  5113021·
 2015 04  212905·
 2015 05  8813016.
 2015 06  3313042·
 2015 07  9313095.
 2015 08  8513135·
 2015 09  3913118·
 2015 10  7313100.
 2015 11  9713347.
 2015 12  3413356·
 2016 01 8013172·
 2016 02 7413192·
 2016 03 112983·
 2016 04 1912630.
 2016 05 1312638·
 2016 06 6612704.
 2016 07 6813018·
 2016 08 3313090·
 2016 09 6112975.
 2016 10 713221.
 2016 11 8513388.
 2016 12 9613368.
 2017 01  7713521.
 2017 02  7813419.
 2017 03  6713147.
 2017 04  5212972·
 2017 05  3412681.
 2017 06  8612779.


 2017 07  5012969.
 2017 08  6912835.
 2017 09  3413051·
 2017 10  6212890·
 2017 11  9813184·
 2017 12  4313207·
 2018 01 212862.
 2018 02 6312918·
 2018 03 9912783·
 2018 04 9212476·
 2018 05 8812447.
 2018 06 7112858.
 2018 07 6412959.
 2018 08 6013072.
 2018 09 6812857·
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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