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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 25-34 years, Women: NSA
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 2000 01 31104·
 2000 02 64109.
 2000 03 4195·
 2000 04 27108.
 2000 05 1299.
 2000 06 88115·
 2000 07 47110.
 2000 08 1395.
 2000 09 91109.
 2000 10 41115·
 2000 11 8583.
 2000 12 29112.
 2001 01  1782·
 2001 02  688·
 2001 03  68102·
 2001 04  19115.
 2001 05  67104·
 2001 06  8989·
 2001 07  35107·
 2001 08  5369.
 2001 09  40106.
 2001 10  21107·
 2001 11  47124·
 2001 12  23119·
 2002 01 63102.
 2002 02 60130·
 2002 03 93120.
 2002 04 50127.
 2002 05 85127.
 2002 06 86139.
 2002 07 85112·
 2002 08 78113·
 2002 09 82107·
 2002 10 8159.
 2002 11 62167.
 2002 12 76135·
 2003 01  55123.
 2003 02  55115.
 2003 03  86117.
 2003 04  37113.
 2003 05  28113·
 2003 06  8588·
 2003 07  4683·
 2003 08  82111.
 2003 09  52116·
 2003 10  80123.
 2003 11  54150·
 2003 12  53145.
 2004 01 3134.
 2004 02 46124·
 2004 03 47114·
 2004 04 21100.
 2004 05 8076·
 2004 06 1481·
 2004 07 90104·
 2004 08 80114·
 2004 09 10137·
 2004 10 42128·
 2004 11 70113·
 2004 12 48151·
 2005 01  43148.
 2005 02  11146·
 2005 03  99117.
 2005 04  69118·
 2005 05  5387·
 2005 06  28122·
 2005 07  16133.
 2005 08  14126·
 2005 09  43128.
 2005 10  24110·
 2005 11  84108.
 2005 12  76128.
 2006 01 35144.
 2006 02 56144.
 2006 03 90143.
 2006 04 73148·
 2006 05 83140.
 2006 06 6114.
 2006 07 47106·
 2006 08 52106·
 2006 09 5987.
 2006 10 80101·
 2006 11 9386.
 2006 12 7979.
 2007 01  6699.
 2007 02  998·
 2007 03  9298·
 2007 04  5097.
 2007 05  28117.
 2007 06  52102.
 2007 07  30113·
 2007 08  84125·
 2007 09  96128·
 2007 10  88114·
 2007 11  22123.
 2007 12  2598·
 2008 01 46110.
 2008 02 26119.
 2008 03 4117·
 2008 04 42114.
 2008 05 76103.
 2008 06 95129·
 2008 07 39134.
 2008 08 29120·
 2008 09 14118·
 2008 10 54115·
 2008 11 17118.
 2008 12 5109·
 2009 01  9130.
 2009 02  84115.
 2009 03  48131·
 2009 04  14120.
 2009 05  37128.
 2009 06  91151·
 2009 07  72159·
 2009 08  27146.
 2009 09  98102·
 2009 10  790·
 2009 11  52110·
 2009 12  35119.
 2010 01 1799.
 2010 02 8872·
 2010 03 74130.
 2010 04 60112.
 2010 05 46110.
 2010 06 17125·
 2010 07 52116·
 2010 08 45100.
 2010 09 5885·
 2010 10 071·
 2010 11 2486·
 2010 12 5972.
 2011 01  5685·
 2011 02  6883.
 2011 03  5384.
 2011 04  9685.
 2011 05  63145.
 2011 06  79101·
 2011 07  2797.
 2011 08  76113.
 2011 09  31137.
 2011 10  14123.
 2011 11  58120·
 2011 12  4293·
 2012 01 3571·
 2012 02 79106·


 2012 03 8594.
 2012 04 63144·
 2012 05 75125.
 2012 06 6100·
 2012 07 70110·
 2012 08 3599.
 2012 09 77106·
 2012 10 5296·
 2012 11 1106·
 2012 12 76126·
 2013 01  91126.
 2013 02  9889·
 2013 03  9185·
 2013 04  2978·
 2013 05  9261·
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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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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 25-34 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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