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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 16-19 years: NSA
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 2012 04 328·
 2012 03 3841.
 2012 02 6332.
 2012 01 7116·
 2011 12  8642·
 2011 11  2830.
 2011 10  2460.
 2011 09  2747.
 2011 08  7381.
 2011 07  5497.
 2011 06  2382·
 2011 05  1845.
 2011 04  1337.
 2011 03  9753·
 2011 02  7448·
 2011 01  9038.
 2010 12 8440·
 2010 11 6540.
 2010 10 1541.
 2010 09 1148·
 2010 08 8486·
 2010 07 8971·
 2010 06 756.
 2010 05 7636.
 2010 04 4037.
 2010 03 2525.
 2010 02 3926·
 2010 01 439.
 2009 12  232.
 2009 11  5548.
 2009 10  2445.
 2009 09  3950·
 2009 08  45100·
 2009 07  8686·
 2009 06  098.
 2009 05  4932.
 2009 04  7023.
 2009 03  4932·
 2009 02  2952·
 2009 01  3053·
 2008 12 157.
 2008 11 252.
 2008 10 160.
 2008 09 064.
 2008 08 90102·
 2008 07 25129.
 2008 06 2683.
 2008 05 351.
 2008 04 1132.
 2008 03 2649·
 2008 02 4453.
 2008 01 952.
 2007 12  6688·
 2007 11  3663.
 2007 10  1765·
 2007 09  1252.
 2007 08  7975·
 2007 07  11107.
 2007 06  3387.
 2007 05  3053·
 2007 04  163.
 2007 03  3456.
 2007 02  572.
 2007 01  949.
 2006 12 874·
 2006 11 1079.
 2006 10 7166.
 2006 09 1653·
 2006 08 99126.
 2006 07 73148·
 2006 06 9396.
 2006 05 4769.
 2006 04 063.
 2006 03 7769·
 2006 02 6191·
 2006 01 2087.
 2005 12  6281.
 2005 11  586.
 2005 10  8693·
 2005 09  8064.
 2005 08  59107.
 2005 07  64136.
 2005 06  6123.
 2005 05  9691·
 2005 04  9345·
 2005 03  8552·
 2005 02  8575·
 2005 01  6166.
 2004 12 8983·
 2004 11 2585.
 2004 10 1074.
 2004 09 9663.
 2004 08 96148.
 2004 07 65146·
 2004 06 94132·
 2004 05 4377·
 2004 04 9192.
 2004 03 1286.
 2004 02 75117.
 2004 01 73107·
 2003 12  7465.
 2003 11  9879·
 2003 10  1683·
 2003 09  7981.
 2003 08  70113.
 2003 07  79164·
 2003 06  4130·
 2003 05  8167·
 2003 04  3057.
 2003 03  3742.
 2003 02  5454.
 2003 01  2249·
 2002 12 2856·
 2002 11 7973.
 2002 10 263·
 2002 09 7250.
 2002 08 6662.
 2002 07 3695.
 2002 06 1176·
 2002 05 2551·
 2002 04 6950.
 2002 03 6546.
 2002 02 7053·
 2002 01 035.
 2001 12  8754.
 2001 11  4752·
 2001 10  9163·
 2001 09  4246·
 2001 08  9567.
 2001 07  9079·
 2001 06  1271·
 2001 05  1958.
 2001 04  9565.
 2001 03  2550.
 2001 02  9655.
 2001 01  2552.
 2000 12 1135·
 2000 11 832.
 2000 10 3134.
 2000 09 8046.
 2000 08 9358·
 2000 07 2159.
 2000 06 3086·
 2000 05 2861.
 2000 04 1862·
 2000 03 7177·
 2000 02 3053·
 2000 01 3872·
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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, 16-19 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

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