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 Series Title: Employment Level: Installation, Maintenance, and Repair Occupations in Wholesale and Retail Trade Industry: NSA
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 2000 01 87834·
 2000 02 22857.
 2000 03 67820·
 2000 04 68839.
 2000 05 98828.
 2000 06 27829.
 2000 07 30871.
 2000 08 14856.
 2000 09 62811.
 2000 10 17837·
 2000 11 82731.
 2000 12 45794.
 2001 01  30775·
 2001 02  75830.
 2001 03  36879·
 2001 04  7806.
 2001 05  78819.
 2001 06  8856·
 2001 07  28824.
 2001 08  68888·
 2001 09  6863.
 2001 10  46841·
 2001 11  23757·
 2001 12  23726·
 2002 01 39695.
 2002 02 47713.
 2002 03 7784·
 2002 04 90747·
 2002 05 28810·
 2002 06 92764·
 2002 07 95880.
 2002 08 14922.
 2002 09 48860·
 2002 10 88824.
 2002 11 23849.
 2002 12 65917·
 2003 01  0925·
 2003 02  66948·
 2003 03  55858·
 2003 04  35789.
 2003 05  9857.
 2003 06  84851·
 2003 07  78929·
 2003 08  451026·
 2003 09  25972·
 2003 10  221009·
 2003 11  6953·
 2003 12  38969.
 2004 01 24943.
 2004 02 88933·
 2004 03 76913.
 2004 04 84930.
 2004 05 6899.
 2004 06 12863·
 2004 07 51887·
 2004 08 77861·
 2004 09 96809·
 2004 10 52884.
 2004 11 20913·
 2004 12 35944·
 2005 01  46969·
 2005 02  90997.
 2005 03  94973·
 2005 04  3952·
 2005 05  30899·
 2005 06  31858.
 2005 07  12874.
 2005 08  51920·
 2005 09  48927·
 2005 10  8874.
 2005 11  38856.
 2005 12  71880·
 2006 01 27901.
 2006 02 781009.
 2006 03 57923.
 2006 04 85961·
 2006 05 16913.
 2006 06 21926.
 2006 07 84933.
 2006 08 34947.
 2006 09 91965.
 2006 10 44911.
 2006 11 57908.
 2006 12 90837·
 2007 01  52840·
 2007 02  80863·
 2007 03  38840·
 2007 04  45862.
 2007 05  25858·
 2007 06  85826.
 2007 07  15840·
 2007 08  19818.
 2007 09  60849.
 2007 10  39860·
 2007 11  2817.
 2007 12  56780.
 2008 01 32784.
 2008 02 51732.
 2008 03 35769.
 2008 04 26791.
 2008 05 42771·
 2008 06 52792·
 2008 07 78780·
 2008 08 22780·
 2008 09 15819.
 2008 10 98922.
 2008 11 19904.
 2008 12 64931.
 2009 01  2831.
 2009 02  71863.
 2009 03  71842·
 2009 04  95748·
 2009 05  78787·
 2009 06  78771.
 2009 07  71722·
 2009 08  85746.
 2009 09  44716.
 2009 10  50711.
 2009 11  83693·
 2009 12  28668·
 2010 01 24649.
 2010 02 44687.
 2010 03 94747.
 2010 04 43760.
 2010 05 69815.
 2010 06 41762.
 2010 07 18745·
 2010 08 74743.
 2010 09 55757.
 2010 10 49713·
 2010 11 91721.
 2010 12 91797·
 2011 01  82821.
 2011 02  98894.
 2011 03  77864.
 2011 04  87817·
 2011 05  75770·
 2011 06  46740·
 2011 07  65782·
 2011 08  82774·
 2011 09  85771·
 2011 10  74749·
 2011 11  66706.
 2011 12  20678·
 2012 01 87724·
 2012 02 88742·
 2012 03 19771.
 2012 04 69785·
 2012 05 81815·
 2012 06 22761.
 2012 07 86740.
 2012 08 25785·
 2012 09 93766·
 2012 10 30771·
 2012 11 56719.
 2012 12 6696.
 2013 01  74728.
 2013 02  95764·
 2013 03  42767·
 2013 04  56790.
 2013 05  98806·
 2013 06  23727.
 2013 07  80748.
 2013 08  45729·
 2013 09  67705.
 2013 10  46756.
 2013 11  35757.
 2013 12  67715.
 2014 01 5724·
 2014 02 20724.
 2014 03 93720.
 2014 04 40719.
 2014 05 63699.
 2014 06 28769.
 2014 07 69779.
 2014 08 9771·
 2014 09 16730.
 2014 10 76698·
 2014 11 0694.
 2014 12 43860.
 2015 01  64823.
 2015 02  95862·
 2015 03  48812.
 2015 04  37733.
 2015 05  34711.
 2015 06  43782·
 2015 07  1775.
 2015 08  9729.
 2015 09  75781·
 2015 10  0745·
 2015 11  74726.
 2015 12  3767·
 2016 01 63782·
 2016 02 74713·
 2016 03 2744·
 2016 04 89695.
 2016 05 98729·
 2016 06 95717.
 2016 07 50670·
 2016 08 61779.
 2016 09 6754.
 2016 10 22794·
 2016 11 5833.
 2016 12 37790.
 2017 01  36828.
 2017 02  35729.
 2017 03  80753·
 2017 04  63716·


 2017 05  65544·
 2017 06  40669·
 2017 07  13718.
 2017 08  7680·
 2017 09  93752.
 2017 10  71712.
 2017 11  67703.
 2017 12  63701·
 2018 01 45680.
 2018 02 83665.
 2018 03 30685.
 2018 04 51684·
 2018 05 71645·
 2018 06 57720·
 2018 07 14708·
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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

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