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 Series Title: Employment Level: Pvt W/S Workers, Manufacturing Industry, White, Age 16-24: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2003 01  761223·
 2003 02  631234.
 2003 03  621097·
 2003 04  121042.
 2003 05  781050.
 2003 06  271162·
 2003 07  271119·
 2003 08  761231·
 2003 09  531024.
 2003 10  961092.
 2003 11  991165·
 2003 12  451147.
 2004 01 511184·
 2004 02 511054·
 2004 03 911013·
 2004 04 631056.
 2004 05 471100·
 2004 06 991201·
 2004 07 421257·
 2004 08 991318·
 2004 09 421168·
 2004 10 721045.
 2004 11 131020.
 2004 12 471011·
 2005 01  61992·
 2005 02  25955.
 2005 03  93971·
 2005 04  271005.
 2005 05  551028·
 2005 06  421138·
 2005 07  941166·
 2005 08  821041.
 2005 09  991012.
 2005 10  291037·
 2005 11  551119·
 2005 12  831125·
 2006 01 931087·
 2006 02 161045.
 2006 03 381010·
 2006 04 221022.
 2006 05 621068·
 2006 06 621138.
 2006 07 321173.
 2006 08 191241·
 2006 09 581101·
 2006 10 471102·
 2006 11 481063·
 2006 12 181136·
 2007 01  551095·
 2007 02  781074.
 2007 03  261041.
 2007 04  89894.
 2007 05  54993·
 2007 06  871045·
 2007 07  281145.
 2007 08  251101·
 2007 09  811084.
 2007 10  301062·
 2007 11  421101.
 2007 12  461075.
 2008 01 85982·
 2008 02 891028·
 2008 03 80942.
 2008 04 951015·
 2008 05 421045·
 2008 06 711116·
 2008 07 811171·
 2008 08 431125.
 2008 09 53936·
 2008 10 7949.
 2008 11 7918·
 2008 12 82870·
 2009 01  42851.
 2009 02  55861.
 2009 03  47805·
 2009 04  33756.
 2009 05  61747.
 2009 06  95860.
 2009 07  14882·
 2009 08  39827·
 2009 09  84856·
 2009 10  34749.
 2009 11  44774·
 2009 12  69704·
 2010 01 12712.
 2010 02 4721·
 2010 03 2727.
 2010 04 18735·
 2010 05 71721.
 2010 06 61790·
 2010 07 74849.
 2010 08 4808.
 2010 09 10776.
 2010 10 88785·
 2010 11 74798·
 2010 12 73827.
 2011 01  6907·
 2011 02  90911.
 2011 03  40866.
 2011 04  92862.
 2011 05  58802·
 2011 06  0894·
 2011 07  35896·
 2011 08  57934.
 2011 09  92888·
 2011 10  75850.
 2011 11  46901·
 2011 12  86903·
 2012 01 59911.
 2012 02 94912·
 2012 03 87899·
 2012 04 23915·
 2012 05 33860·
 2012 06 67986·
 2012 07 951047.
 2012 08 38963.
 2012 09 161009·
 2012 10 23959·
 2012 11 33947.
 2012 12 25952.
 2013 01  32866·
 2013 02  20880.
 2013 03  89901·
 2013 04  2818.
 2013 05  31887.
 2013 06  39985.
 2013 07  771033·
 2013 08  15991·
 2013 09  91959.
 2013 10  87946.
 2013 11  331013·
 2013 12  311024·
 2014 01 91000.
 2014 02 95967·
 2014 03 21996.
 2014 04 46999·
 2014 05 131011·
 2014 06 211041.
 2014 07 281094·
 2014 08 791104.
 2014 09 531036·
 2014 10 461063·
 2014 11 69901·
 2014 12 72989·
 2015 01  3996.
 2015 02  761002.
 2015 03  79969.
 2015 04  97898.
 2015 05  65929.
 2015 06  441044·
 2015 07  231133·
 2015 08  461064·
 2015 09  63982·
 2015 10  5972.
 2015 11  881009.
 2015 12  401030.
 2016 01 48955.
 2016 02 41972.
 2016 03 871064.
 2016 04 211018·
 2016 05 96989.
 2016 06 601114.
 2016 07 591092.
 2016 08 601110.
 2016 09 6925·
 2016 10 92904·
 2016 11 65913.
 2016 12 50980·
 2017 01  5913.
 2017 02  95993.
 2017 03  941056.
 2017 04  111100·
 2017 05  421046.
 2017 06  501083·
 2017 07  581062·
 2017 08  86946.
 2017 09  94918.


 2017 10  63956·
 2017 11  97899.
 2017 12  45928·
 2018 01 60988·
 2018 02 671001.
 2018 03 711046·
 2018 04 821042·
 2018 05 651099.
 2018 06 171156.
 2018 07 701124·
 2018 08 161116.
 2018 09 611047·
 2018 10 961009·
 2018 11 6994.
 2018 12 921034.
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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: Pvt W/S Workers, Manufacturing Industry, White, Age 16-24: 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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