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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 20-24 years, Women: NSA
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 2000 01 6175·
 2000 02 4180·
 2000 03 6364.
 2000 04 4074·
 2000 05 1366·
 2000 06 2472·
 2000 07 1578.
 2000 08 6036.
 2000 09 1346.
 2000 10 8647·
 2000 11 4937·
 2000 12 5951.
 2001 01  1040.
 2001 02  957.
 2001 03  7880.
 2001 04  8358.
 2001 05  8157·
 2001 06  067.
 2001 07  4162.
 2001 08  062.
 2001 09  2647·
 2001 10  9174.
 2001 11  9984.
 2001 12  4101.
 2002 01 6983·
 2002 02 3960·
 2002 03 4154·
 2002 04 1546·
 2002 05 6351.
 2002 06 2479.
 2002 07 7977.
 2002 08 7658·
 2002 09 8145·
 2002 10 5459.
 2002 11 5261.
 2002 12 5762·
 2003 01  2454.
 2003 02  6040.
 2003 03  2364.
 2003 04  5272.
 2003 05  1992.
 2003 06  98103·
 2003 07  78128·
 2003 08  81121·
 2003 09  14100·
 2003 10  5282.
 2003 11  3266·
 2003 12  8677.
 2004 01 8670·
 2004 02 2688·
 2004 03 2274·
 2004 04 3779·
 2004 05 3579.
 2004 06 5398·
 2004 07 1193·
 2004 08 2983·
 2004 09 8669·
 2004 10 9066·
 2004 11 8767.
 2004 12 8167·
 2005 01  8980·
 2005 02  18105.
 2005 03  62109.
 2005 04  36101.
 2005 05  2198.
 2005 06  43112.
 2005 07  7599·
 2005 08  64105.
 2005 09  81102.
 2005 10  9899·
 2005 11  8986.
 2005 12  6097.
 2006 01 95109·
 2006 02 38106·
 2006 03 91116·
 2006 04 41130·
 2006 05 1396·
 2006 06 46122·
 2006 07 94125.
 2006 08 53107·
 2006 09 11100·
 2006 10 2996·
 2006 11 3779.
 2006 12 64105.
 2007 01  89118.
 2007 02  17122.
 2007 03  81122.
 2007 04  69101·
 2007 05  72116·
 2007 06  68126.
 2007 07  16129·
 2007 08  8688.
 2007 09  12101·
 2007 10  6375.
 2007 11  5390·
 2007 12  61108·
 2008 01 82105.
 2008 02 996.
 2008 03 3288·
 2008 04 6179.
 2008 05 8485·
 2008 06 3887.
 2008 07 1389.
 2008 08 8179·
 2008 09 4297·
 2008 10 594.
 2008 11 8782.
 2008 12 4178.
 2009 01  984·
 2009 02  9365.
 2009 03  6581·
 2009 04  8470·
 2009 05  5781·
 2009 06  9103·
 2009 07  85115.
 2009 08  8095·
 2009 09  8991.
 2009 10  8394.
 2009 11  10101·
 2009 12  2392·
 2010 01 3069.
 2010 02 7386.
 2010 03 2863·
 2010 04 3173.
 2010 05 2969·
 2010 06 6151.
 2010 07 5363·
 2010 08 4983·
 2010 09 6358.
 2010 10 5258·
 2010 11 2167.
 2010 12 4773·
 2011 01  3266·
 2011 02  7980·
 2011 03  9693.
 2011 04  1892.
 2011 05  6098·
 2011 06  99110.
 2011 07  6698.
 2011 08  81100.
 2011 09  9980·
 2011 10  9277·
 2011 11  4369.
 2011 12  8069.
 2012 01 2485·
 2012 02 6584.


 2012 03 66105·
 2012 04 8691.
 2012 05 35113·
 2012 06 51113.
 2012 07 97113.
 2012 08 9196.
 2012 09 5896.
 2012 10 668.
 2012 11 2496·
 2012 12 1595·
 2013 01  43105.
 2013 02  1177·
 2013 03  6077.
 2013 04  380·
 2013 05  65105·
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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.
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      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, 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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