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 Series Title: Employment Level: Construction and Extraction Occupations in Wholesale and Retail Trade Industry: NSA
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 2000 01 91161.
 2000 02 42142·
 2000 03 18119·
 2000 04 21122·
 2000 05 79121.
 2000 06 20103.
 2000 07 75108·
 2000 08 5139.
 2000 09 52117·
 2000 10 14153.
 2000 11 51133·
 2000 12 6118·
 2001 01  60107.
 2001 02  894·
 2001 03  60113.
 2001 04  68103.
 2001 05  79110.
 2001 06  7138.
 2001 07  39147·
 2001 08  62157·
 2001 09  9123·
 2001 10  43149·
 2001 11  52140·
 2001 12  80128·
 2002 01 76162·
 2002 02 73168·
 2002 03 86163.
 2002 04 42164·
 2002 05 30146·
 2002 06 78180·
 2002 07 54169.
 2002 08 92162·
 2002 09 47151·
 2002 10 65151·
 2002 11 94123·
 2002 12 0115·
 2003 01  26118.
 2003 02  67112·
 2003 03  69106.
 2003 04  58131·
 2003 05  93138.
 2003 06  38118.
 2003 07  66144·
 2003 08  88160.
 2003 09  99145.
 2003 10  61151.
 2003 11  0149·
 2003 12  32135.
 2004 01 20114.
 2004 02 43102·
 2004 03 7110·
 2004 04 60104.
 2004 05 54129·
 2004 06 16158·
 2004 07 50158.
 2004 08 66156.
 2004 09 28133.
 2004 10 35139.
 2004 11 18159·
 2004 12 69144·
 2005 01  93153·
 2005 02  83150.
 2005 03  23158.
 2005 04  13163.
 2005 05  23156.
 2005 06  66131·
 2005 07  3119.
 2005 08  68130·
 2005 09  19145.
 2005 10  15141·
 2005 11  21187·
 2005 12  27183·
 2006 01 6182.
 2006 02 89184·
 2006 03 65150·
 2006 04 9173·
 2006 05 35160·
 2006 06 67157·
 2006 07 48152.
 2006 08 60105.
 2006 09 81103.
 2006 10 57106·
 2006 11 7121.
 2006 12 48136.
 2007 01  45134.
 2007 02  91131.
 2007 03  6138.
 2007 04  66158.
 2007 05  51138.
 2007 06  24128·
 2007 07  33154.
 2007 08  35110·
 2007 09  51101.
 2007 10  39145·
 2007 11  0175·
 2007 12  98142.
 2008 01 19180·
 2008 02 43162.
 2008 03 45150·
 2008 04 25131·
 2008 05 57159·
 2008 06 66143·
 2008 07 31108.
 2008 08 9126·
 2008 09 8997·
 2008 10 66132·
 2008 11 47127.
 2008 12 70136.
 2009 01  66134·
 2009 02  25111·
 2009 03  4107·
 2009 04  53121·
 2009 05  63130.
 2009 06  48126.
 2009 07  41108.
 2009 08  25108·
 2009 09  81100·
 2009 10  67124·
 2009 11  21129.
 2009 12  81127.
 2010 01 45150·
 2010 02 40116.
 2010 03 31114.
 2010 04 41107·
 2010 05 590·
 2010 06 48104.
 2010 07 8598·
 2010 08 48114.
 2010 09 3799.
 2010 10 97107.
 2010 11 20105·
 2010 12 7297·
 2011 01  41109·
 2011 02  19122.
 2011 03  0118·
 2011 04  6113.
 2011 05  4388.
 2011 06  7195.
 2011 07  12110.
 2011 08  71122.
 2011 09  93122·
 2011 10  34118·
 2011 11  68106.
 2011 12  9117.
 2012 01 6689.
 2012 02 15113.
 2012 03 8132·
 2012 04 9190·
 2012 05 63100·
 2012 06 4679·
 2012 07 93118.
 2012 08 10101.
 2012 09 9105·
 2012 10 83102·
 2012 11 1396.
 2012 12 8691.
 2013 01  5488·
 2013 02  884·
 2013 03  7999.
 2013 04  6287·
 2013 05  7587.
 2013 06  2883.
 2013 07  2990.
 2013 08  8104·
 2013 09  7195.
 2013 10  7494.
 2013 11  27138.
 2013 12  18123·
 2014 01 67105.
 2014 02 3129.
 2014 03 60129.
 2014 04 11114·
 2014 05 15105.
 2014 06 9689·
 2014 07 41115·
 2014 08 3186·
 2014 09 8991.
 2014 10 60102.
 2014 11 8129.
 2014 12 47145.
 2015 01  90129.
 2015 02  27129.
 2015 03  24106.
 2015 04  54116·
 2015 05  44119·
 2015 06  5399·
 2015 07  7768·
 2015 08  7188·
 2015 09  0104.
 2015 10  21110·
 2015 11  80109·
 2015 12  4198.
 2016 01 34109·
 2016 02 3695.
 2016 03 71117.
 2016 04 3494.
 2016 05 4681.
 2016 06 3177·
 2016 07 1281·
 2016 08 4459·
 2016 09 6379·
 2016 10 61104·
 2016 11 9187.
 2016 12 9083·
 2017 01  3387.
 2017 02  989·
 2017 03  2290.
 2017 04  1778·


 2017 05  3469.
 2017 06  8265.
 2017 07  4282·
 2017 08  9393·
 2017 09  64119.
 2017 10  10122·
 2017 11  13128.
 2017 12  12124·
 2018 01 49146·
 2018 02 50154·
 2018 03 25141.
 2018 04 95103.
 2018 05 4167.
 2018 06 8587·
 2018 07 9074·
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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

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