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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 16-17 years, Women: NSA
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 2012 04 292·
 2012 03 359·
 2012 02 41
 2012 01 485·
 2011 12  8618·
 2011 11  8113.
 2011 10  6618.
 2011 09  113·
 2011 08  2724·
 2011 07  4530·
 2011 06  1131.
 2011 05  71
 2011 04  46·
 2011 03  7
 2011 02  8915·
 2011 01  211.
 2010 12 9216.
 2010 11 7524.
 2010 10 3721·
 2010 09 6425.
 2010 08 9140.
 2010 07 7937·
 2010 06 1827.
 2010 05 5115.
 2010 04 279·
 2010 03 789.
 2010 02 2111·
 2010 01 8215.
 2009 12  5015·
 2009 11  5222·
 2009 10  5823.
 2009 09  112·
 2009 08  3545·
 2009 07  839·
 2009 06  6645.
 2009 05  7717.
 2009 04  838.
 2009 03  7817.
 2009 02  1024·
 2009 01  411·
 2008 12 1922·
 2008 11 1824·
 2008 10 7631.
 2008 09 335.
 2008 08 9434.
 2008 07 1136·
 2008 06 7835·
 2008 05 1516.
 2008 04 8316.
 2008 03 6124·
 2008 02 5425·
 2008 01 1221.
 2007 12  8635.
 2007 11  235.
 2007 10  6626·
 2007 09  8721·
 2007 08  2944·
 2007 07  9046.
 2007 06  335·
 2007 05  5816·
 2007 04  6223.
 2007 03  725.
 2007 02  7636·
 2007 01  7117·
 2006 12 6148.
 2006 11 5945.
 2006 10 2537.
 2006 09 9531·
 2006 08 2562·
 2006 07 7768·
 2006 06 1254.
 2006 05 2323·
 2006 04 8137·
 2006 03 1931.
 2006 02 2551.
 2006 01 7450·
 2005 12  7949.
 2005 11  6642·
 2005 10  7643·
 2005 09  9420.
 2005 08  9454.
 2005 07  2576.
 2005 06  557.
 2005 05  5045·
 2005 04  2626·
 2005 03  2741.
 2005 02  7336.
 2005 01  3724.
 2004 12 237·
 2004 11 3036.
 2004 10 6850·
 2004 09 7537.
 2004 08 7072.
 2004 07 1378.
 2004 06 458·
 2004 05 742.
 2004 04 847·
 2004 03 8639.
 2004 02 1759.
 2004 01 262.
 2003 12  1435.
 2003 11  7833.
 2003 10  7330.
 2003 09  5532·
 2003 08  1548.
 2003 07  4789.
 2003 06  5762.
 2003 05  8542·
 2003 04  6032·
 2003 03  7421.
 2003 02  8328·
 2003 01  3616·
 2002 12 269·
 2002 11 6626.
 2002 10 8917·
 2002 09 7715·
 2002 08 1324·
 2002 07 5432.
 2002 06 3738.
 2002 05 227·
 2002 04 4520.
 2002 03 9628.
 2002 02 1627.
 2002 01 3021·
 2001 12  7414·
 2001 11  7215.
 2001 10  3921.
 2001 09  617.
 2001 08  7524.
 2001 07  9037·
 2001 06  4339·
 2001 05  9923·
 2001 04  4822.
 2001 03  8116.
 2001 02  9125.
 2001 01  214.
 2000 12 1918·
 2000 11 113·
 2000 10 7216.
 2000 09 3625·
 2000 08 3725.
 2000 07 3330·
 2000 06 9728·
 2000 05 4317·
 2000 04 7928.
 2000 03 8330·
 2000 02 620.
 2000 01 9323·
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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, Women: 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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