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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 20-24 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 28101.
 2012 03 48115.
 2012 02 1090.
 2012 01 2396·
 2011 12  2275·
 2011 11  3987·
 2011 10  1495.
 2011 09  1297.
 2011 08  82118.
 2011 07  29132.
 2011 06  18120.
 2011 05  99115.
 2011 04  59102.
 2011 03  99112.
 2011 02  36100.
 2011 01  2975.
 2010 12 2876.
 2010 11 5670·
 2010 10 763.
 2010 09 7161.
 2010 08 9087·
 2010 07 3268·
 2010 06 9161·
 2010 05 1970·
 2010 04 6978·
 2010 03 8267·
 2010 02 7889·
 2010 01 9279.
 2009 12  17109·
 2009 11  89106.
 2009 10  81105.
 2009 09  34102.
 2009 08  9114·
 2009 07  59136·
 2009 06  36121.
 2009 05  1599·
 2009 04  4473.
 2009 03  2487·
 2009 02  868.
 2009 01  2990·
 2008 12 4986.
 2008 11 4195.
 2008 10 84114·
 2008 09 94110·
 2008 08 7486·
 2008 07 9198.
 2008 06 7795·
 2008 05 5695.
 2008 04 9585.
 2008 03 81100·
 2008 02 25105.
 2008 01 82108·
 2007 12  10117·
 2007 11  4395·
 2007 10  9083·
 2007 09  68106.
 2007 08  4798.
 2007 07  32139.
 2007 06  61135.
 2007 05  32130.
 2007 04  56120·
 2007 03  32136.
 2007 02  50130·
 2007 01  18126.
 2006 12 11116·
 2006 11 4882.
 2006 10 9696.
 2006 09 96105.
 2006 08 13107·
 2006 07 12131.
 2006 06 61134·
 2006 05 60101.
 2006 04 88137·
 2006 03 80116·
 2006 02 34116·
 2006 01 29122.
 2005 12  86109·
 2005 11  35100.
 2005 10  26106·
 2005 09  47109·
 2005 08  82115.
 2005 07  83109·
 2005 06  76125.
 2005 05  83102.
 2005 04  77110·
 2005 03  56118·
 2005 02  47116.
 2005 01  3186·
 2004 12 9672·
 2004 11 1084·
 2004 10 2784.
 2004 09 1195.
 2004 08 90109·
 2004 07 27110.
 2004 06 28110.
 2004 05 6787.
 2004 04 3398·
 2004 03 1384·
 2004 02 8994·
 2004 01 6782.
 2003 12  2787·
 2003 11  174·
 2003 10  7296·
 2003 09  6108.
 2003 08  97129.
 2003 07  46136·
 2003 06  66117.
 2003 05  398·
 2003 04  9280.
 2003 03  3176·
 2003 02  8340·
 2003 01  356.
 2002 12 9068·
 2002 11 6261.
 2002 10 6169.
 2002 09 7354·
 2002 08 8966·
 2002 07 7189·
 2002 06 6290.
 2002 05 1063.
 2002 04 1554·
 2002 03 1466.
 2002 02 7675.
 2002 01 3097.
 2001 12  19114·
 2001 11  7498.
 2001 10  1478.
 2001 09  8049·
 2001 08  7669·
 2001 07  5673·
 2001 06  1569·
 2001 05  2759·
 2001 04  8759·
 2001 03  9286·
 2001 02  4257.
 2001 01  6744.
 2000 12 7654·
 2000 11 3939.
 2000 10 8250·
 2000 09 1746·
 2000 08 9542·
 2000 07 7981.
 2000 06 4878.
 2000 05 2371·
 2000 04 1884.
 2000 03 1880.
 2000 02 7890·
 2000 01 5384.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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: Nonagriculture, Private Households Wage and Salary Workers, 20-24 years: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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