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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 25-34 years, Women: NSA
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 2012 04 97144·
 2012 03 1594.
 2012 02 5106.
 2012 01 8371.
 2011 12  8893·
 2011 11  61120·
 2011 10  46123·
 2011 09  17137·
 2011 08  26113·
 2011 07  8797·
 2011 06  70101.
 2011 05  30145·
 2011 04  6385·
 2011 03  7584·
 2011 02  8883.
 2011 01  6885.
 2010 12 7372·
 2010 11 3086.
 2010 10 4071·
 2010 09 9985.
 2010 08 56100·
 2010 07 85116·
 2010 06 87125·
 2010 05 17110.
 2010 04 39112·
 2010 03 96130.
 2010 02 1872·
 2010 01 4299·
 2009 12  72119·
 2009 11  46110.
 2009 10  4590.
 2009 09  18102·
 2009 08  29146.
 2009 07  40159.
 2009 06  7151.
 2009 05  13128·
 2009 04  11120·
 2009 03  10131.
 2009 02  67115·
 2009 01  22130.
 2008 12 45109.
 2008 11 12118.
 2008 10 12115·
 2008 09 64118·
 2008 08 79120·
 2008 07 30134.
 2008 06 54129·
 2008 05 83103.
 2008 04 90114.
 2008 03 68117.
 2008 02 33119.
 2008 01 49110.
 2007 12  7898·
 2007 11  60123·
 2007 10  11114·
 2007 09  55128.
 2007 08  68125·
 2007 07  60113.
 2007 06  76102.
 2007 05  21117.
 2007 04  1197·
 2007 03  5298.
 2007 02  4198·
 2007 01  9099·
 2006 12 8179.
 2006 11 4186·
 2006 10 43101.
 2006 09 3287·
 2006 08 81106·
 2006 07 60106·
 2006 06 46114.
 2006 05 42140·
 2006 04 34148·
 2006 03 65143·
 2006 02 37144.
 2006 01 37144.
 2005 12  91128·
 2005 11  37108.
 2005 10  29110·
 2005 09  63128.
 2005 08  28126·
 2005 07  84133·
 2005 06  61122.
 2005 05  8887·
 2005 04  45118.
 2005 03  36117.
 2005 02  94146.
 2005 01  7148·
 2004 12 67151.
 2004 11 51113.
 2004 10 18128.
 2004 09 38137·
 2004 08 45114.
 2004 07 10104·
 2004 06 4481·
 2004 05 2776·
 2004 04 55100.
 2004 03 20114.
 2004 02 12124.
 2004 01 41134.
 2003 12  96145·
 2003 11  12150·
 2003 10  83123·
 2003 09  76116·
 2003 08  93111.
 2003 07  4483.
 2003 06  4588.
 2003 05  50113.
 2003 04  99113.
 2003 03  96117.
 2003 02  12115·
 2003 01  7123·
 2002 12 87135·
 2002 11 76167·
 2002 10 21159.
 2002 09 17107·
 2002 08 58113·
 2002 07 14112·
 2002 06 35139·
 2002 05 73127·
 2002 04 37127.
 2002 03 69120·
 2002 02 43130.
 2002 01 96102.
 2001 12  76119.
 2001 11  20124·
 2001 10  56107.
 2001 09  28106·
 2001 08  4969·
 2001 07  76107·
 2001 06  1489·
 2001 05  40104.
 2001 04  56115.
 2001 03  67102·
 2001 02  7888.
 2001 01  2482·
 2000 12 24112·
 2000 11 5083·
 2000 10 36115.
 2000 09 2109.
 2000 08 295·
 2000 07 7110·
 2000 06 3115·
 2000 05 1599·
 2000 04 66108.
 2000 03 4595·
 2000 02 15109·
 2000 01 35104·
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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, 25-34 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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