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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 16-17 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 29.
 2012 03 659.
 2012 02 4513.
 2012 01 20
 2011 12  9218.
 2011 11  6414·
 2011 10  4222·
 2011 09  6315.
 2011 08  4328.
 2011 07  5535·
 2011 06  3433·
 2011 05  9812·
 2011 04  36.
 2011 03  2014.
 2011 02  3318.
 2011 01  7011.
 2010 12 5016.
 2010 11 6625·
 2010 10 7821.
 2010 09 4725·
 2010 08 8344·
 2010 07 2337·
 2010 06 3130.
 2010 05 2418·
 2010 04 2813.
 2010 03 509·
 2010 02 8011.
 2010 01 2016.
 2009 12  3520·
 2009 11  2622·
 2009 10  3826.
 2009 09  7923.
 2009 08  7956.
 2009 07  6050·
 2009 06  4355.
 2009 05  7119·
 2009 04  6111.
 2009 03  8322.
 2009 02  5828·
 2009 01  8917·
 2008 12 626.
 2008 11 5124.
 2008 10 7136.
 2008 09 5239·
 2008 08 6546.
 2008 07 4648·
 2008 06 9543.
 2008 05 525·
 2008 04 1316.
 2008 03 7428·
 2008 02 6728.
 2008 01 1726·
 2007 12  5039.
 2007 11  6835·
 2007 10  5036.
 2007 09  8229.
 2007 08  246.
 2007 07  8449·
 2007 06  3338·
 2007 05  1917.
 2007 04  1928.
 2007 03  327.
 2007 02  2946·
 2007 01  7223·
 2006 12 7751.
 2006 11 3251.
 2006 10 7440.
 2006 09 1137·
 2006 08 7571·
 2006 07 471·
 2006 06 3262.
 2006 05 2933·
 2006 04 4043·
 2006 03 7339.
 2006 02 9256·
 2006 01 4554·
 2005 12  2249.
 2005 11  2348.
 2005 10  6545.
 2005 09  526·
 2005 08  9656.
 2005 07  6078·
 2005 06  8965·
 2005 05  7651.
 2005 04  6228.
 2005 03  1541·
 2005 02  2939·
 2005 01  5428.
 2004 12 4737.
 2004 11 4536.
 2004 10 7051·
 2004 09 5740·
 2004 08 9985.
 2004 07 3185·
 2004 06 2867.
 2004 05 2948·
 2004 04 9550·
 2004 03 8146·
 2004 02 3873·
 2004 01 4076·
 2003 12  3640·
 2003 11  2640.
 2003 10  6534.
 2003 09  8335·
 2003 08  4656.
 2003 07  23103·
 2003 06  9574·
 2003 05  7845.
 2003 04  7534·
 2003 03  5321.
 2003 02  4331.
 2003 01  6920·
 2002 12 016·
 2002 11 2234.
 2002 10 4521.
 2002 09 2521·
 2002 08 2124.
 2002 07 6342.
 2002 06 6550·
 2002 05 4132.
 2002 04 6223·
 2002 03 3329·
 2002 02 9132·
 2002 01 3421·
 2001 12  7515.
 2001 11  1215.
 2001 10  3524.
 2001 09  5123·
 2001 08  3533.
 2001 07  748·
 2001 06  3550.
 2001 05  5826·
 2001 04  4227.
 2001 03  5116·
 2001 02  5525.
 2001 01  5217.
 2000 12 2118.
 2000 11 9913·
 2000 10 8218·
 2000 09 5129.
 2000 08 2429.
 2000 07 3434.
 2000 06 2945.
 2000 05 9821.
 2000 04 2535·
 2000 03 6241.
 2000 02 3423.
 2000 01 6431·
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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, 16-17 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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