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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 46161·
 2000 02 54142·
 2000 03 77119·
 2000 04 5122·
 2000 05 52121·
 2000 06 35103.
 2000 07 71108·
 2000 08 10139.
 2000 09 81117·
 2000 10 70153·
 2000 11 22133·
 2000 12 70118.
 2001 01  83107.
 2001 02  4194.
 2001 03  44113·
 2001 04  30103.
 2001 05  33110.
 2001 06  55138.
 2001 07  73147.
 2001 08  57157·
 2001 09  32123.
 2001 10  44149.
 2001 11  73140·
 2001 12  47128.
 2002 01 5162.
 2002 02 65168·
 2002 03 31163·
 2002 04 18164.
 2002 05 2146.
 2002 06 98180.
 2002 07 62169.
 2002 08 15162.
 2002 09 0151·
 2002 10 51151.
 2002 11 1123.
 2002 12 7115·
 2003 01  97118·
 2003 02  55112.
 2003 03  14106·
 2003 04  87131.
 2003 05  21138·
 2003 06  67118·
 2003 07  86144.
 2003 08  76160·
 2003 09  21145·
 2003 10  68151.
 2003 11  32149.
 2003 12  17135.
 2004 01 72114.
 2004 02 66102.
 2004 03 88110·
 2004 04 79104·
 2004 05 75129·
 2004 06 91158·
 2004 07 19158.
 2004 08 56156.
 2004 09 55133.
 2004 10 0139·
 2004 11 12159.
 2004 12 69144·
 2005 01  63153·
 2005 02  76150·
 2005 03  79158.
 2005 04  59163·
 2005 05  74156·
 2005 06  25131·
 2005 07  59119·
 2005 08  98130.
 2005 09  89145.
 2005 10  77141·
 2005 11  14187.
 2005 12  79183.
 2006 01 32182·
 2006 02 91184.
 2006 03 33150.
 2006 04 21173.
 2006 05 54160·
 2006 06 47157.
 2006 07 28152·
 2006 08 68105.
 2006 09 32103.
 2006 10 53106·
 2006 11 37121·
 2006 12 90136·
 2007 01  64134.
 2007 02  39131·
 2007 03  24138.
 2007 04  80158.
 2007 05  76138·
 2007 06  63128·
 2007 07  75154.
 2007 08  58110.
 2007 09  20101.
 2007 10  6145·
 2007 11  4175.
 2007 12  68142·
 2008 01 69180.
 2008 02 75162·
 2008 03 49150·
 2008 04 79131.
 2008 05 25159·
 2008 06 2143·
 2008 07 73108·
 2008 08 85126.
 2008 09 1497·
 2008 10 42132.
 2008 11 63127.
 2008 12 5136·
 2009 01  84134.
 2009 02  78111·
 2009 03  33107·
 2009 04  84121·
 2009 05  12130·
 2009 06  17126·
 2009 07  20108.
 2009 08  90108.
 2009 09  98100.
 2009 10  89124·
 2009 11  87129·
 2009 12  19127·
 2010 01 68150.
 2010 02 53116·
 2010 03 22114.
 2010 04 87107·
 2010 05 7290.
 2010 06 88104·
 2010 07 3898·
 2010 08 41114.
 2010 09 8599.
 2010 10 3107·
 2010 11 73105·
 2010 12 4997.
 2011 01  8109·
 2011 02  28122·
 2011 03  90118·
 2011 04  6113·
 2011 05  6688·
 2011 06  2095·
 2011 07  77110.
 2011 08  29122.
 2011 09  9122.
 2011 10  61118·
 2011 11  46106.
 2011 12  65117.
 2012 01 1389·
 2012 02 58113.
 2012 03 35132·
 2012 04 8090.
 2012 05 79100.
 2012 06 4279.
 2012 07 8118·
 2012 08 71101.
 2012 09 31105·
 2012 10 69102.
 2012 11 5296.
 2012 12 5691.
 2013 01  2088.
 2013 02  2284·
 2013 03  8099·
 2013 04  7987.
 2013 05  2287·
 2013 06  783·
 2013 07  3090·
 2013 08  9104.
 2013 09  3695.
 2013 10  5694.
 2013 11  65138.
 2013 12  41123.
 2014 01 89105.
 2014 02 25129.
 2014 03 73129·
 2014 04 93114·
 2014 05 30105.
 2014 06 9689.
 2014 07 67115·
 2014 08 986·
 2014 09 3591·
 2014 10 76102·
 2014 11 84129.
 2014 12 60145·
 2015 01  5129·
 2015 02  96129.
 2015 03  87106.
 2015 04  38116·
 2015 05  64119.
 2015 06  1399·
 2015 07  6568.
 2015 08  6488.
 2015 09  64104.
 2015 10  8110.
 2015 11  30109·
 2015 12  8198.
 2016 01 79109.
 2016 02 8995·
 2016 03 21117.
 2016 04 5894.
 2016 05 1081.
 2016 06 8677.
 2016 07 9981.
 2016 08 9059·
 2016 09 8379·
 2016 10 57104.
 2016 11 5387·
 2016 12 9583·
 2017 01  4787·
 2017 02  8389.
 2017 03  9690.
 2017 04  1978·
 2017 05  7869·
 2017 06  7165·
 2017 07  6682.
 2017 08  2993·


 2017 09  77119·
 2017 10  52122.
 2017 11  25128·
 2017 12  20124.
 2018 01 68146·
 2018 02 83154·
 2018 03 62141·
 2018 04 12103.
 2018 05 367·
 2018 06 4687·
 2018 07 8974.
 2018 08 4786·
 2018 09 5767·
 2018 10 4784.
 2018 11 44105.
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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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