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 Series Title: Employment Level: Installation, Maintenance, and Repair Occupations in Wholesale and Retail Trade Industry: 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 68834.
 2000 02 24857·
 2000 03 27820.
 2000 04 30839·
 2000 05 8828.
 2000 06 42829·
 2000 07 11871.
 2000 08 28856.
 2000 09 83811.
 2000 10 26837.
 2000 11 65731.
 2000 12 94794·
 2001 01  44775.
 2001 02  59830·
 2001 03  1879·
 2001 04  71806·
 2001 05  65819.
 2001 06  48856.
 2001 07  58824.
 2001 08  29888.
 2001 09  48863.
 2001 10  24841·
 2001 11  98757·
 2001 12  62726.
 2002 01 17695.
 2002 02 44713.
 2002 03 9784·
 2002 04 89747.
 2002 05 23810.
 2002 06 89764.
 2002 07 5880·
 2002 08 54922·
 2002 09 42860·
 2002 10 66824.
 2002 11 22849.
 2002 12 27917·
 2003 01  74925·
 2003 02  7948.
 2003 03  24858·
 2003 04  0789.
 2003 05  44857.
 2003 06  69851·
 2003 07  99929.
 2003 08  951026·
 2003 09  2972.
 2003 10  321009.
 2003 11  60953.
 2003 12  54969·
 2004 01 25943·
 2004 02 4933·
 2004 03 44913·
 2004 04 46930·
 2004 05 11899·
 2004 06 16863·
 2004 07 15887·
 2004 08 67861.
 2004 09 88809·
 2004 10 25884·
 2004 11 60913.
 2004 12 35944·
 2005 01  5969.
 2005 02  13997·
 2005 03  92973·
 2005 04  94952·
 2005 05  37899·
 2005 06  85858.
 2005 07  50874·
 2005 08  13920·
 2005 09  85927.
 2005 10  75874.
 2005 11  95856.
 2005 12  87880.
 2006 01 75901·
 2006 02 381009·
 2006 03 16923·
 2006 04 35961·
 2006 05 56913.
 2006 06 56926·
 2006 07 27933·
 2006 08 0947·
 2006 09 5965·
 2006 10 36911·
 2006 11 63908·
 2006 12 53837·
 2007 01  21840.
 2007 02  10863.
 2007 03  90840·
 2007 04  86862.
 2007 05  30858.
 2007 06  33826.
 2007 07  94840·
 2007 08  20818·
 2007 09  82849·
 2007 10  88860·
 2007 11  88817.
 2007 12  98780·
 2008 01 53784·
 2008 02 81732·
 2008 03 11769.
 2008 04 90791·
 2008 05 42771.
 2008 06 45792.
 2008 07 24780·
 2008 08 89780.
 2008 09 77819.
 2008 10 35922·
 2008 11 17904.
 2008 12 15931·
 2009 01  6831.
 2009 02  33863.
 2009 03  2842.
 2009 04  12748.
 2009 05  6787·
 2009 06  46771.
 2009 07  16722·
 2009 08  49746·
 2009 09  76716·
 2009 10  5711·
 2009 11  23693·
 2009 12  20668.
 2010 01 42649.
 2010 02 68687·
 2010 03 11747·
 2010 04 44760·
 2010 05 54815.
 2010 06 15762.
 2010 07 92745·
 2010 08 66743·
 2010 09 89757·
 2010 10 54713·
 2010 11 5721.
 2010 12 55797·
 2011 01  45821·
 2011 02  16894·
 2011 03  12864.
 2011 04  5817·
 2011 05  49770·
 2011 06  58740·
 2011 07  1782·
 2011 08  34774·
 2011 09  52771.
 2011 10  61749.
 2011 11  85706·
 2011 12  87678·
 2012 01 27724.
 2012 02 32742.
 2012 03 2771·
 2012 04 34785.
 2012 05 76815.
 2012 06 3761·
 2012 07 15740·
 2012 08 68785.
 2012 09 25766·
 2012 10 30771·
 2012 11 11719.
 2012 12 8696.
 2013 01  23728.
 2013 02  95764.
 2013 03  4767·
 2013 04  99790.
 2013 05  46806·
 2013 06  4727.
 2013 07  32748.
 2013 08  10729·
 2013 09  94705.
 2013 10  90756·
 2013 11  57757·
 2013 12  35715.
 2014 01 93724.
 2014 02 8724·
 2014 03 67720·
 2014 04 93719.
 2014 05 93699·
 2014 06 41769.
 2014 07 76779.
 2014 08 28771·
 2014 09 69730·
 2014 10 95698.
 2014 11 21694.
 2014 12 9860.
 2015 01  23823.
 2015 02  2862.
 2015 03  64812·
 2015 04  30733·
 2015 05  78711·
 2015 06  18782.
 2015 07  95775.
 2015 08  12729·
 2015 09  87781·
 2015 10  26745·
 2015 11  25726.
 2015 12  97767·
 2016 01 23782.
 2016 02 31713·
 2016 03 93744.
 2016 04 55695·
 2016 05 88729.
 2016 06 65717.
 2016 07 61670.
 2016 08 80779.
 2016 09 7754·
 2016 10 85794·
 2016 11 18833.
 2016 12 91790·
 2017 01  30828·
 2017 02  73729.
 2017 03  76753.
 2017 04  32716·
 2017 05  32544·
 2017 06  36669.
 2017 07  73718·
 2017 08  73680·
 2017 09  15752.
 2017 10  4712·
 2017 11  72703.


 2017 12  7701.
 2018 01 3680·
 2018 02 34665.
 2018 03 61685.
 2018 04 55684.
 2018 05 47645.
 2018 06 9720·
 2018 07 53708·
 2018 08 59725·
 2018 09 22743.
 2018 10 35746·
 2018 11 86710·
 2018 12 89723·
 2019 01  28696.
 2019 02  43692·
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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: Employment Level: Installation, Maintenance, and Repair Occupations in Wholesale and Retail Trade Industry: 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

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

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