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 Series Title: Employment Level: Construction and Extraction 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 68161.
 2000 02 52142·
 2000 03 81119.
 2000 04 47122.
 2000 05 63121.
 2000 06 46103·
 2000 07 14108·
 2000 08 16139.
 2000 09 81117·
 2000 10 95153·
 2000 11 5133·
 2000 12 41118·
 2001 01  72107·
 2001 02  8194.
 2001 03  65113·
 2001 04  64103.
 2001 05  11110·
 2001 06  9138·
 2001 07  33147.
 2001 08  56157·
 2001 09  99123·
 2001 10  12149·
 2001 11  72140.
 2001 12  9128·
 2002 01 61162·
 2002 02 47168.
 2002 03 70163.
 2002 04 45164·
 2002 05 48146·
 2002 06 94180·
 2002 07 39169.
 2002 08 6162.
 2002 09 34151.
 2002 10 61151.
 2002 11 18123.
 2002 12 61115·
 2003 01  21118·
 2003 02  79112.
 2003 03  69106·
 2003 04  6131.
 2003 05  34138.
 2003 06  5118.
 2003 07  81144·
 2003 08  59160·
 2003 09  23145.
 2003 10  20151·
 2003 11  66149·
 2003 12  64135.
 2004 01 63114·
 2004 02 32102·
 2004 03 61110·
 2004 04 90104·
 2004 05 55129·
 2004 06 71158·
 2004 07 31158.
 2004 08 31156·
 2004 09 24133·
 2004 10 95139.
 2004 11 63159·
 2004 12 8144·
 2005 01  21153.
 2005 02  85150·
 2005 03  69158·
 2005 04  62163.
 2005 05  21156·
 2005 06  47131·
 2005 07  88119.
 2005 08  65130.
 2005 09  25145·
 2005 10  14141·
 2005 11  83187.
 2005 12  10183·
 2006 01 57182·
 2006 02 42184.
 2006 03 40150.
 2006 04 16173.
 2006 05 69160·
 2006 06 12157.
 2006 07 75152.
 2006 08 28105·
 2006 09 35103.
 2006 10 32106·
 2006 11 23121.
 2006 12 13136·
 2007 01  56134.
 2007 02  32131·
 2007 03  48138·
 2007 04  68158.
 2007 05  58138·
 2007 06  70128·
 2007 07  39154·
 2007 08  10110·
 2007 09  90101·
 2007 10  27145.
 2007 11  7175.
 2007 12  84142·
 2008 01 29180·
 2008 02 10162.
 2008 03 91150·
 2008 04 59131·
 2008 05 74159·
 2008 06 51143.
 2008 07 54108.
 2008 08 29126.
 2008 09 5197·
 2008 10 5132·
 2008 11 83127·
 2008 12 13136·
 2009 01  11134.
 2009 02  56111.
 2009 03  92107·
 2009 04  56121·
 2009 05  28130.
 2009 06  8126.
 2009 07  18108.
 2009 08  26108.
 2009 09  3100.
 2009 10  95124.
 2009 11  24129.
 2009 12  18127·
 2010 01 62150·
 2010 02 72116·
 2010 03 98114·
 2010 04 51107.
 2010 05 5590·
 2010 06 22104.
 2010 07 5398·
 2010 08 69114.
 2010 09 5799.
 2010 10 50107.
 2010 11 28105·
 2010 12 4197.
 2011 01  69109·
 2011 02  89122·
 2011 03  83118.
 2011 04  62113.
 2011 05  1688·
 2011 06  9695·
 2011 07  9110·
 2011 08  50122.
 2011 09  49122·
 2011 10  51118·
 2011 11  17106·
 2011 12  49117·
 2012 01 4289·
 2012 02 62113.
 2012 03 46132.
 2012 04 2990.
 2012 05 96100·
 2012 06 6079.
 2012 07 57118·
 2012 08 84101·
 2012 09 38105.
 2012 10 1102.
 2012 11 4196·
 2012 12 3291.
 2013 01  1688.
 2013 02  6884·
 2013 03  899.
 2013 04  1987.
 2013 05  687·
 2013 06  6783·
 2013 07  9790.
 2013 08  14104.
 2013 09  1095·
 2013 10  3094.
 2013 11  71138.
 2013 12  9123.
 2014 01 52105.
 2014 02 13129·
 2014 03 18129·
 2014 04 25114.
 2014 05 82105.
 2014 06 9889.
 2014 07 51115·
 2014 08 686·
 2014 09 7691.
 2014 10 92102.
 2014 11 7129·
 2014 12 21145.
 2015 01  35129.
 2015 02  26129·
 2015 03  49106·
 2015 04  63116·
 2015 05  83119.
 2015 06  5799·
 2015 07  6668·
 2015 08  5388·
 2015 09  72104·
 2015 10  67110·
 2015 11  70109·
 2015 12  3498.
 2016 01 76109·
 2016 02 6195.
 2016 03 0117·
 2016 04 7594·
 2016 05 9681.
 2016 06 7377·
 2016 07 1781·
 2016 08 7159·
 2016 09 5879·
 2016 10 58104·
 2016 11 1087.
 2016 12 4183·
 2017 01  1187.
 2017 02  9889.
 2017 03  9290.
 2017 04  2878.
 2017 05  3169.
 2017 06  065.
 2017 07  182.
 2017 08  293.
 2017 09  19119·
 2017 10  95122.
 2017 11  99128.


 2017 12  58124.
 2018 01 0146·
 2018 02 40154·
 2018 03 75141.
 2018 04 13103·
 2018 05 2467.
 2018 06 1787·
 2018 07 4174·
 2018 08 1386.
 2018 09 6767·
 2018 10 3284·
 2018 11 36105·
 2018 12 2691.
 2019 01  29120·
 2019 02  17113.
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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: Construction and Extraction 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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

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