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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  351223.
 2003 02  491234.
 2003 03  991097·
 2003 04  261042.
 2003 05  941050·
 2003 06  691162·
 2003 07  201119.
 2003 08  461231.
 2003 09  251024·
 2003 10  941092·
 2003 11  491165.
 2003 12  711147·
 2004 01 791184·
 2004 02 51054.
 2004 03 971013·
 2004 04 451056.
 2004 05 311100·
 2004 06 101201.
 2004 07 41257.
 2004 08 371318·
 2004 09 831168.
 2004 10 381045.
 2004 11 311020.
 2004 12 421011·
 2005 01  58992.
 2005 02  49955.
 2005 03  67971·
 2005 04  781005.
 2005 05  81028·
 2005 06  221138.
 2005 07  251166.
 2005 08  901041·
 2005 09  81012.
 2005 10  641037.
 2005 11  421119.
 2005 12  461125.
 2006 01 581087.
 2006 02 81045.
 2006 03 821010·
 2006 04 421022·
 2006 05 841068.
 2006 06 101138.
 2006 07 311173.
 2006 08 951241.
 2006 09 361101.
 2006 10 511102·
 2006 11 41063·
 2006 12 511136.
 2007 01  891095·
 2007 02  381074.
 2007 03  381041·
 2007 04  78894·
 2007 05  45993·
 2007 06  41045·
 2007 07  961145·
 2007 08  701101.
 2007 09  271084.
 2007 10  31062.
 2007 11  661101.
 2007 12  471075·
 2008 01 88982.
 2008 02 191028·
 2008 03 61942.
 2008 04 531015.
 2008 05 11045.
 2008 06 571116·
 2008 07 181171·
 2008 08 571125.
 2008 09 68936.
 2008 10 49949·
 2008 11 1918·
 2008 12 52870.
 2009 01  14851.
 2009 02  53861.
 2009 03  97805.
 2009 04  59756·
 2009 05  88747.
 2009 06  49860·
 2009 07  20882.
 2009 08  21827.
 2009 09  68856·
 2009 10  44749·
 2009 11  6774·
 2009 12  8704·
 2010 01 52712·
 2010 02 71721·
 2010 03 20727.
 2010 04 13735·
 2010 05 67721.
 2010 06 84790·
 2010 07 49849·
 2010 08 56808·
 2010 09 63776.
 2010 10 67785·
 2010 11 5798.
 2010 12 80827.
 2011 01  15907·
 2011 02  26911·
 2011 03  28866.
 2011 04  56862·
 2011 05  23802.
 2011 06  92894.
 2011 07  79896.
 2011 08  77934.
 2011 09  14888·
 2011 10  23850·
 2011 11  46901·
 2011 12  62903·
 2012 01 37911·
 2012 02 99912·
 2012 03 43899·
 2012 04 56915·
 2012 05 67860.
 2012 06 27986·
 2012 07 71047·
 2012 08 27963.
 2012 09 61009·
 2012 10 40959.
 2012 11 2947·
 2012 12 70952·
 2013 01  78866·
 2013 02  93880·
 2013 03  14901.
 2013 04  4818·
 2013 05  34887·
 2013 06  68985·
 2013 07  581033.
 2013 08  72991·
 2013 09  50959.
 2013 10  72946.
 2013 11  701013.
 2013 12  451024·
 2014 01 251000·
 2014 02 37967·
 2014 03 14996·
 2014 04 16999·
 2014 05 851011·
 2014 06 201041.
 2014 07 781094.
 2014 08 51104·
 2014 09 811036.
 2014 10 01063.
 2014 11 75901.
 2014 12 55989.
 2015 01  87996.
 2015 02  871002·
 2015 03  41969.
 2015 04  36898.
 2015 05  5929·
 2015 06  111044·
 2015 07  421133·
 2015 08  411064·
 2015 09  60982.
 2015 10  28972.
 2015 11  631009.
 2015 12  911030·
 2016 01 1955.
 2016 02 21972·
 2016 03 181064·
 2016 04 291018.
 2016 05 5989.
 2016 06 961114·
 2016 07 461092·
 2016 08 241110·
 2016 09 72925·
 2016 10 84904.
 2016 11 8913.
 2016 12 70980.
 2017 01  27913·
 2017 02  43993.
 2017 03  931056.
 2017 04  871100·
 2017 05  201046·
 2017 06  541083·


 2017 07  141062·
 2017 08  19946.
 2017 09  28918·
 2017 10  24956.
 2017 11  9899·
 2017 12  34928.
 2018 01 50988·
 2018 02 841001·
 2018 03 401046.
 2018 04 271042.
 2018 05 121099·
 2018 06 901156·
 2018 07 951124·
 2018 08 181116·
 2018 09 641047.
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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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