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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 013766.
 2000 02 8413403·
 2000 03 9313189·
 2000 04 5713288·
 2000 05 2713183·
 2000 06 5713235.
 2000 07 213704·
 2000 08 4913816.
 2000 09 6413483.
 2000 10 7213657·
 2000 11 5513371.
 2000 12 8313578·
 2001 01  6213267.
 2001 02  1113287.
 2001 03  6613286·
 2001 04  413217·
 2001 05  9513267·
 2001 06  8113282·
 2001 07  7213593.
 2001 08  8113646.
 2001 09  6513536·
 2001 10  1313329·
 2001 11  3713275.
 2001 12  713420.
 2002 01 9712911·
 2002 02 6312840.
 2002 03 4813053·
 2002 04 212927.
 2002 05 4013217.
 2002 06 1413573.
 2002 07 1813665·
 2002 08 1113542·
 2002 09 7113257.
 2002 10 7213328.
 2002 11 8513545.
 2002 12 113953.
 2003 01  9013572·
 2003 02  6913607·
 2003 03  1213315·
 2003 04  6813466.
 2003 05  2213411·
 2003 06  6113435.
 2003 07  8613644·
 2003 08  3113530·
 2003 09  1713370·
 2003 10  3113493·
 2003 11  2214021.
 2003 12  3314219·
 2004 01 5213744·
 2004 02 8313841.
 2004 03 5513136·
 2004 04 4413029.
 2004 05 2613318·
 2004 06 5113127·
 2004 07 5113704·
 2004 08 5913663.
 2004 09 6413491·
 2004 10 9113897·
 2004 11 9514056·
 2004 12 9514172·
 2005 01  1813956·
 2005 02  8514167.
 2005 03  213900·
 2005 04  9713899·
 2005 05  6313930·
 2005 06  3813649.
 2005 07  914032·
 2005 08  3514215.
 2005 09  9814094.
 2005 10  8414150·
 2005 11  8014320·
 2005 12  214467.
 2006 01 5014229.
 2006 02 7813972.
 2006 03 014158·
 2006 04 1814163·
 2006 05 6814027·
 2006 06 214060.
 2006 07 8513961.
 2006 08 2713704.
 2006 09 2913595.
 2006 10 6313513.
 2006 11 7214067.
 2006 12 9814102.
 2007 01  3213800·
 2007 02  9213579·
 2007 03  2313730·
 2007 04  2513811·
 2007 05  313712·
 2007 06  4614161.
 2007 07  2613900·
 2007 08  2713318·
 2007 09  9213249.
 2007 10  713507·
 2007 11  9513710·
 2007 12  4814004·
 2008 01 7513935·
 2008 02 8113827.
 2008 03 6713834·
 2008 04 5813844·
 2008 05 5213566.
 2008 06 013624.
 2008 07 613536.
 2008 08 5013532·
 2008 09 4913643·
 2008 10 2113623.
 2008 11 9813532·
 2008 12 4513727·
 2009 01  1513184·
 2009 02  2513436·
 2009 03  5713338·
 2009 04  8513193·
 2009 05  2713076.
 2009 06  1913205.
 2009 07  2112958.
 2009 08  4013007.
 2009 09  8412770·
 2009 10  3412776.
 2009 11  5313060·
 2009 12  513227·
 2010 01 1213225·
 2010 02 2813197.
 2010 03 4013406.
 2010 04 9813336.
 2010 05 6212961.
 2010 06 8112927.
 2010 07 9612788·
 2010 08 6312886.
 2010 09 813015.
 2010 10 113110.
 2010 11 5813401.
 2010 12 7013563·
 2011 01  5213344.
 2011 02  1913102.
 2011 03  9012952.
 2011 04  1312995.
 2011 05  1813030·
 2011 06  9112906·
 2011 07  7812972.
 2011 08  1112967.
 2011 09  5713199.
 2011 10  013242.
 2011 11  3713406·
 2011 12  813384.
 2012 01 4512991.
 2012 02 5212951·
 2012 03 413101·
 2012 04 7312902.
 2012 05 8112836.
 2012 06 7912986·
 2012 07 4113039·
 2012 08 012907·
 2012 09 9212860·
 2012 10 3613077.
 2012 11 3713153.
 2012 12 913267·
 2013 01  2713025·
 2013 02  712641·
 2013 03  512575·
 2013 04  4312930·
 2013 05  6213031.
 2013 06  9812867.
 2013 07  8212895.
 2013 08  7212796·
 2013 09  9712560·
 2013 10  3912668.
 2013 11  3212915·
 2013 12  9012940.
 2014 01 5812674·
 2014 02 8812868·
 2014 03 4213116.
 2014 04 1613296.
 2014 05 9513050·
 2014 06 2713156.
 2014 07 2513285.
 2014 08 9512885.
 2014 09 8413008.
 2014 10 6213348.
 2014 11 2013551·
 2014 12 9413641.
 2015 01  2513198·
 2015 02  2513262.
 2015 03  8813021.
 2015 04  912905·
 2015 05  4213016.
 2015 06  7213042.
 2015 07  1813095.
 2015 08  5913135.
 2015 09  8813118·
 2015 10  8513100.
 2015 11  2213347·
 2015 12  8713356·
 2016 01 3613172.
 2016 02 7113192·
 2016 03 4012983.
 2016 04 6412630·
 2016 05 8812638.
 2016 06 6112704·
 2016 07 3313018·
 2016 08 8213090.
 2016 09 6912975·
 2016 10 1313221.
 2016 11 8913388.
 2016 12 6113368.
 2017 01  2913521.
 2017 02  613419.
 2017 03  2213147.
 2017 04  4612972.
 2017 05  4412681.
 2017 06  4912779·
 2017 07  6912969·
 2017 08  512835.


 2017 09  1413051·
 2017 10  7312890·
 2017 11  9213184.
 2017 12  3313207·
 2018 01 6412862.
 2018 02 3512918.
 2018 03 8112783·
 2018 04 4912476·
 2018 05 4512447·
 2018 06 1512858.
 2018 07 4812959·
 2018 08 9613072·
 2018 09 3212857·
 2018 10 2212989·
 2018 11 3113286·
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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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