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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 16-19 years, Women: NSA
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 2012 04 3721.
 2012 03 4141·
 2012 02 4428·
 2012 01 1413·
 2011 12  3842·
 2011 11  1029.
 2011 10  2155.
 2011 09  9541·
 2011 08  3774·
 2011 07  889.
 2011 06  2977·
 2011 05  737·
 2011 04  8434·
 2011 03  1844.
 2011 02  8340.
 2011 01  9238.
 2010 12 5436·
 2010 11 4639·
 2010 10 1941·
 2010 09 2140.
 2010 08 4874.
 2010 07 2466.
 2010 06 253·
 2010 05 8728·
 2010 04 9129·
 2010 03 822·
 2010 02 1826.
 2010 01 938.
 2009 12  3327.
 2009 11  8048.
 2009 10  8141.
 2009 09  3239·
 2009 08  5189·
 2009 07  4774·
 2009 06  2886·
 2009 05  2530·
 2009 04  4320·
 2009 03  3927.
 2009 02  2248.
 2009 01  8248.
 2008 12 3753.
 2008 11 1550·
 2008 10 5253·
 2008 09 2158.
 2008 08 8185·
 2008 07 55107.
 2008 06 3071.
 2008 05 8839.
 2008 04 5229.
 2008 03 6640·
 2008 02 9544.
 2008 01 5244.
 2007 12  5079.
 2007 11  8059·
 2007 10  853·
 2007 09  542·
 2007 08  165.
 2007 07  5393·
 2007 06  5882·
 2007 05  6949·
 2007 04  5349.
 2007 03  6853·
 2007 02  5758·
 2007 01  8636·
 2006 12 8471·
 2006 11 3070.
 2006 10 4562·
 2006 09 2647·
 2006 08 94117.
 2006 07 71141·
 2006 06 8388.
 2006 05 8354.
 2006 04 757·
 2006 03 4855·
 2006 02 5982.
 2006 01 7682·
 2005 12  7480.
 2005 11  4376.
 2005 10  8682.
 2005 09  4958·
 2005 08  72103·
 2005 07  63120.
 2005 06  3111·
 2005 05  7285.
 2005 04  9943.
 2005 03  3852·
 2005 02  7272.
 2005 01  3960.
 2004 12 8176.
 2004 11 2576·
 2004 10 8165·
 2004 09 6854.
 2004 08 69126·
 2004 07 7137·
 2004 06 42121.
 2004 05 470·
 2004 04 3985·
 2004 03 9079.
 2004 02 95100·
 2004 01 1692.
 2003 12  9054·
 2003 11  562·
 2003 10  166.
 2003 09  9871.
 2003 08  4899·
 2003 07  9136.
 2003 06  48109.
 2003 05  7060·
 2003 04  6350.
 2003 03  8433.
 2003 02  5046.
 2003 01  7540·
 2002 12 1143·
 2002 11 3661.
 2002 10 4553.
 2002 09 8239·
 2002 08 9355·
 2002 07 9772·
 2002 06 9459·
 2002 05 8639.
 2002 04 3238.
 2002 03 2441·
 2002 02 8747.
 2002 01 634·
 2001 12  8152·
 2001 11  9847·
 2001 10  3552·
 2001 09  8633·
 2001 08  1454.
 2001 07  2758.
 2001 06  7854·
 2001 05  9652.
 2001 04  3254·
 2001 03  4050·
 2001 02  7751·
 2001 01  2845.
 2000 12 6034.
 2000 11 9631·
 2000 10 2131.
 2000 09 340·
 2000 08 4853·
 2000 07 7652·
 2000 06 2365·
 2000 05 6453·
 2000 04 7249.
 2000 03 8661·
 2000 02 1946.
 2000 01 8160·
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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, 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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