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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 28161.
 2000 02 38142.
 2000 03 9119·
 2000 04 50122.
 2000 05 95121·
 2000 06 78103.
 2000 07 36108.
 2000 08 37139·
 2000 09 29117·
 2000 10 16153·
 2000 11 64133.
 2000 12 23118.
 2001 01  79107.
 2001 02  3594·
 2001 03  6113.
 2001 04  51103·
 2001 05  22110·
 2001 06  40138·
 2001 07  99147.
 2001 08  91157.
 2001 09  57123.
 2001 10  64149.
 2001 11  7140.
 2001 12  38128·
 2002 01 10162·
 2002 02 63168.
 2002 03 18163·
 2002 04 9164·
 2002 05 31146.
 2002 06 18180·
 2002 07 44169·
 2002 08 50162.
 2002 09 96151·
 2002 10 37151·
 2002 11 23123·
 2002 12 30115·
 2003 01  5118·
 2003 02  50112·
 2003 03  18106·
 2003 04  42131.
 2003 05  84138.
 2003 06  16118.
 2003 07  18144·
 2003 08  6160.
 2003 09  82145.
 2003 10  14151.
 2003 11  34149·
 2003 12  65135·
 2004 01 76114·
 2004 02 53102·
 2004 03 5110.
 2004 04 90104.
 2004 05 65129·
 2004 06 63158.
 2004 07 94158·
 2004 08 74156.
 2004 09 75133·
 2004 10 1139.
 2004 11 88159.
 2004 12 37144.
 2005 01  57153·
 2005 02  48150.
 2005 03  1158.
 2005 04  22163·
 2005 05  85156.
 2005 06  13131.
 2005 07  70119·
 2005 08  98130.
 2005 09  61145.
 2005 10  25141·
 2005 11  59187.
 2005 12  61183.
 2006 01 9182·
 2006 02 42184.
 2006 03 55150.
 2006 04 28173·
 2006 05 81160.
 2006 06 46157·
 2006 07 70152.
 2006 08 44105.
 2006 09 50103.
 2006 10 42106.
 2006 11 44121·
 2006 12 79136.
 2007 01  19134.
 2007 02  63131·
 2007 03  38138·
 2007 04  25158.
 2007 05  11138·
 2007 06  66128·
 2007 07  42154.
 2007 08  4110.
 2007 09  78101.
 2007 10  31145·
 2007 11  66175.
 2007 12  58142·
 2008 01 96180.
 2008 02 66162.
 2008 03 51150·
 2008 04 56131.
 2008 05 63159.
 2008 06 2143.
 2008 07 58108·
 2008 08 94126·
 2008 09 697·
 2008 10 96132·
 2008 11 75127.
 2008 12 90136·
 2009 01  75134.
 2009 02  29111.
 2009 03  15107·
 2009 04  87121·
 2009 05  46130.
 2009 06  9126.
 2009 07  16108.
 2009 08  57108.
 2009 09  18100·
 2009 10  66124·
 2009 11  41129·
 2009 12  91127.
 2010 01 18150·
 2010 02 57116·
 2010 03 78114·
 2010 04 10107·
 2010 05 9690·
 2010 06 65104.
 2010 07 4098·
 2010 08 58114.
 2010 09 2699.
 2010 10 96107.
 2010 11 64105.
 2010 12 497·
 2011 01  10109.
 2011 02  80122·
 2011 03  14118·
 2011 04  42113.
 2011 05  7388.
 2011 06  7695.
 2011 07  78110.
 2011 08  91122.
 2011 09  65122·
 2011 10  64118.
 2011 11  67106.
 2011 12  95117·
 2012 01 6289·
 2012 02 52113·
 2012 03 21132·
 2012 04 2490.
 2012 05 64100·
 2012 06 7079·
 2012 07 2118·
 2012 08 71101·
 2012 09 96105·
 2012 10 76102.
 2012 11 9896.
 2012 12 5691·
 2013 01  988.
 2013 02  5284·
 2013 03  2299·
 2013 04  2387·
 2013 05  7887.
 2013 06  283.
 2013 07  1190.
 2013 08  41104·
 2013 09  395·
 2013 10  6194·
 2013 11  29138·
 2013 12  4123·
 2014 01 11105.
 2014 02 83129·
 2014 03 64129·
 2014 04 32114.
 2014 05 51105.
 2014 06 5289.
 2014 07 28115·
 2014 08 6786.
 2014 09 9991.
 2014 10 72102.
 2014 11 60129·
 2014 12 81145.
 2015 01  55129·
 2015 02  77129·
 2015 03  21106.
 2015 04  66116·
 2015 05  44119.
 2015 06  2299.
 2015 07  168.
 2015 08  4288.
 2015 09  17104·
 2015 10  90110.
 2015 11  12109.
 2015 12  5398.
 2016 01 50109.
 2016 02 8695.
 2016 03 91117·
 2016 04 6894.
 2016 05 4281·
 2016 06 4377.
 2016 07 381·
 2016 08 8159·
 2016 09 2079.
 2016 10 18104.
 2016 11 3487·
 2016 12 1283·
 2017 01  3287·
 2017 02  9189.
 2017 03  9790.
 2017 04  478.
 2017 05  5669.
 2017 06  7065.


 2017 07  3182.
 2017 08  2793.
 2017 09  91119.
 2017 10  85122·
 2017 11  99128·
 2017 12  75124·
 2018 01 63146·
 2018 02 95154·
 2018 03 87141.
 2018 04 67103·
 2018 05 2267.
 2018 06 8087.
 2018 07 1074.
 2018 08 4686·
 2018 09 4367·
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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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