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 Series Title: Employment Level: Pvt W/S Workers, Retail 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  95127·
 2003 02  097·
 2003 03  2895·
 2003 04  89116·
 2003 05  15123·
 2003 06  43151.
 2003 07  8171.
 2003 08  79170·
 2003 09  2144·
 2003 10  84145.
 2003 11  89156.
 2003 12  67167·
 2004 01 6161·
 2004 02 6103.
 2004 03 84110.
 2004 04 99115·
 2004 05 2140.
 2004 06 15159·
 2004 07 31153.
 2004 08 42151.
 2004 09 90129.
 2004 10 41128·
 2004 11 92134·
 2004 12 92124.
 2005 01  96122·
 2005 02  43117.
 2005 03  56136·
 2005 04  66135.
 2005 05  7099.
 2005 06  2128·
 2005 07  35138·
 2005 08  10134.
 2005 09  89114.
 2005 10  24124.
 2005 11  67125·
 2005 12  93135.
 2006 01 51106.
 2006 02 41101·
 2006 03 15127·
 2006 04 8110·
 2006 05 82102·
 2006 06 9127.
 2006 07 68156.
 2006 08 75167.
 2006 09 34134·
 2006 10 11134·
 2006 11 37112.
 2006 12 38104·
 2007 01  8188.
 2007 02  5294.
 2007 03  62112·
 2007 04  66143·
 2007 05  23136·
 2007 06  65126·
 2007 07  3132·
 2007 08  53108.
 2007 09  86115·
 2007 10  6139·
 2007 11  51162.
 2007 12  19165·
 2008 01 21145.
 2008 02 57121.
 2008 03 17106·
 2008 04 794·
 2008 05 395·
 2008 06 25112·
 2008 07 39148·
 2008 08 87152.
 2008 09 32160.
 2008 10 40141.
 2008 11 81109·
 2008 12 52118·
 2009 01  3385·
 2009 02  60103.
 2009 03  3082·
 2009 04  23106·
 2009 05  58130.
 2009 06  67125·
 2009 07  99172·
 2009 08  42134·
 2009 09  8094.
 2009 10  6788·
 2009 11  2593.
 2009 12  8076·
 2010 01 291·
 2010 02 91113·
 2010 03 73108·
 2010 04 30133.
 2010 05 48117.
 2010 06 96102·
 2010 07 29126.
 2010 08 11126.
 2010 09 68116·
 2010 10 65113·
 2010 11 7111·
 2010 12 68114.
 2011 01  38103.
 2011 02  3144.
 2011 03  45145.
 2011 04  70119.
 2011 05  58107·
 2011 06  42120.
 2011 07  5153.
 2011 08  11128.
 2011 09  55122·
 2011 10  39118.
 2011 11  75111.
 2011 12  978.
 2012 01 77125.
 2012 02 75126.
 2012 03 68100·
 2012 04 10113.
 2012 05 1106·
 2012 06 58142·
 2012 07 22136.
 2012 08 83153·
 2012 09 26165.
 2012 10 18164.
 2012 11 1153.
 2012 12 20145·
 2013 01  79124.
 2013 02  13116·
 2013 03  91111.
 2013 04  43132·
 2013 05  10133.
 2013 06  24176·
 2013 07  6155·
 2013 08  94148·
 2013 09  94103·
 2013 10  5897·
 2013 11  83101.
 2013 12  43140.
 2014 01 31104·
 2014 02 45130·
 2014 03 87134.
 2014 04 83130.
 2014 05 47175·
 2014 06 44199·
 2014 07 3175.
 2014 08 36167·
 2014 09 92122.
 2014 10 36131·
 2014 11 46137.
 2014 12 43151·
 2015 01  42144.
 2015 02  26128.
 2015 03  53163.
 2015 04  75125.
 2015 05  97140.
 2015 06  48165.
 2015 07  87206.
 2015 08  25186.
 2015 09  82160·
 2015 10  57140·
 2015 11  36153.
 2015 12  14147.
 2016 01 48111.
 2016 02 35100·
 2016 03 13132·
 2016 04 84149·
 2016 05 70143.
 2016 06 89197·
 2016 07 55173.
 2016 08 5152.
 2016 09 49183.
 2016 10 51145·
 2016 11 27156·
 2016 12 71192.
 2017 01  10163·
 2017 02  77153·
 2017 03  14127.
 2017 04  1144.
 2017 05  3143·
 2017 06  48155·
 2017 07  32190.
 2017 08  40192·


 2017 09  4204.
 2017 10  72193.
 2017 11  16188·
 2017 12  57189.
 2018 01 13205·
 2018 02 79197.
 2018 03 31177·
 2018 04 45192.
 2018 05 55177.
 2018 06 28155·
 2018 07 64164.
 2018 08 24119.
 2018 09 82116·
 2018 10 99117·
 2018 11 28139·
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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, Retail 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

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