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 Series Title: Employment Level: Pvt W/S Workers, Wholesale trade Industry, Asian, 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  6518·
 2003 02  6018.
 2003 03  5012.
 2003 04  9410.
 2003 05  761.
 2003 06  8012·
 2003 07  9515·
 2003 08  3611·
 2003 09  312.
 2003 10  491·
 2003 11  9121.
 2003 12  2723.
 2004 01 9629.
 2004 02 4815·
 2004 03 500·
 2004 04 1117·
 2004 05 324·
 2004 06 8413.
 2004 07 1213.
 2004 08 5719.
 2004 09 1015·
 2004 10 8813.
 2004 11 3813·
 2004 12 595·
 2005 01  564.
 2005 02  1711·
 2005 03  1610.
 2005 04  366.
 2005 05  2018.
 2005 06  5321.
 2005 07  6019.
 2005 08  3218·
 2005 09  7813·
 2005 10  318·
 2005 11  715.
 2005 12  1713.
 2006 01 302.
 2006 02 973.
 2006 03 213.
 2006 04 84
 2006 05 16·
 2006 06 93
 2006 07 883.
 2006 08 5410.
 2006 09 4312.
 2006 10 717.
 2006 11 226.
 2006 12 6913.
 2007 01  2910·
 2007 02  4017·
 2007 03  6120·
 2007 04  9913.
 2007 05  6216·
 2007 06  3116.
 2007 07  68
 2007 08  396.
 2007 09  654.
 2007 10  994.
 2007 11  3024·
 2007 12  715.
 2008 01 8911.
 2008 02 289·
 2008 03 615.
 2008 04 474·
 2008 05 114·
 2008 06 2213.
 2008 07 987.
 2008 08 296·
 2008 09 304.
 2008 10 152.
 2008 11 56.
 2008 12 477·
 2009 01  7114·
 2009 02  639·
 2009 03  692·
 2009 04  200·
 2009 05  858·
 2009 06  478·
 2009 07  25.
 2009 08  927.
 2009 09  483.
 2009 10  7410.
 2009 11  444.
 2009 12  325.
 2010 01 598.
 2010 02 754·
 2010 03 564·
 2010 04 343.
 2010 05 454·
 2010 06 87.
 2010 07 28
 2010 08 188.
 2010 09 554.
 2010 10 546.
 2010 11 709.
 2010 12 276.
 2011 01  6517·
 2011 02  195.
 2011 03  23
 2011 04  314·
 2011 05  754·
 2011 06  369.
 2011 07  4714·
 2011 08  2414.
 2011 09  1113·
 2011 10  6013.
 2011 11  327.
 2011 12  250.
 2012 01 230.
 2012 02 740·
 2012 03 910·
 2012 04 79
 2012 05 870·
 2012 06 849.
 2012 07 605·
 2012 08 5310.
 2012 09 20·
 2012 10 222.
 2012 11 31.
 2012 12 43
 2013 01  951·
 2013 02  441.
 2013 03  81·
 2013 04  68
 2013 05  161.
 2013 06  324·
 2013 07  889.
 2013 08  711.
 2013 09  39
 2013 10  9313·
 2013 11  8018.
 2013 12  2313·
 2014 01 6613·
 2014 02 588·
 2014 03 484·
 2014 04 168.
 2014 05 227·
 2014 06 8415.
 2014 07 7920.
 2014 08 707·
 2014 09 57
 2014 10 537·
 2014 11 8713.
 2014 12 308.
 2015 01  472·
 2015 02  716·
 2015 03  95·
 2015 04  6412·
 2015 05  9121·
 2015 06  7016·
 2015 07  812.
 2015 08  6722.
 2015 09  166.
 2015 10  67·
 2015 11  7211.
 2015 12  582.
 2016 01 7214.
 2016 02 6222·
 2016 03 1319.
 2016 04 8019.
 2016 05 348.
 2016 06 439·
 2016 07 714.
 2016 08 3
 2016 09 317.
 2016 10 8216·
 2016 11 717.
 2016 12 2216.
 2017 01  414·
 2017 02  3516·
 2017 03  1019·
 2017 04  5518.
 2017 05  875.
 2017 06  84


 2017 07  9215.
 2017 08  4615.
 2017 09  275.
 2017 10  3514·
 2017 11  917.
 2017 12  658·
 2018 01 268.
 2018 02 2018.
 2018 03 718.
 2018 04 56.
 2018 05 811·
 2018 06 9619·
 2018 07 1813·
 2018 08 874·
 2018 09 25
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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, Wholesale trade Industry, Asian, 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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