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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 25-34 years: NSA
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 2012 04 27147·
 2012 03 7399·
 2012 02 6116·
 2012 01 2881·
 2011 12  68100·
 2011 11  53133·
 2011 10  16152.
 2011 09  15148·
 2011 08  94124.
 2011 07  51109.
 2011 06  45110.
 2011 05  19159.
 2011 04  5591.
 2011 03  4887·
 2011 02  789.
 2011 01  8598·
 2010 12 2888.
 2010 11 50103.
 2010 10 3976·
 2010 09 8185.
 2010 08 11104·
 2010 07 89138·
 2010 06 5139·
 2010 05 3135.
 2010 04 31132.
 2010 03 22139.
 2010 02 9286.
 2010 01 68111.
 2009 12  38152.
 2009 11  31127.
 2009 10  13103·
 2009 09  21127.
 2009 08  8162·
 2009 07  21183·
 2009 06  7170.
 2009 05  32139·
 2009 04  40126·
 2009 03  25139.
 2009 02  35138·
 2009 01  94145·
 2008 12 61121.
 2008 11 0140·
 2008 10 85138·
 2008 09 26139·
 2008 08 20138.
 2008 07 26146.
 2008 06 72139·
 2008 05 74112.
 2008 04 93118.
 2008 03 12117.
 2008 02 32125·
 2008 01 5117·
 2007 12  81121·
 2007 11  87147·
 2007 10  28132·
 2007 09  14147·
 2007 08  8131.
 2007 07  9126.
 2007 06  49115.
 2007 05  20138·
 2007 04  26114.
 2007 03  60108·
 2007 02  7122·
 2007 01  67122·
 2006 12 990·
 2006 11 4694·
 2006 10 40112.
 2006 09 25105.
 2006 08 58118.
 2006 07 99130·
 2006 06 12132·
 2006 05 87152·
 2006 04 98149·
 2006 03 76152.
 2006 02 9150·
 2006 01 73157·
 2005 12  80141.
 2005 11  57117.
 2005 10  45113·
 2005 09  27153·
 2005 08  80154·
 2005 07  50168·
 2005 06  57149·
 2005 05  17103.
 2005 04  96134·
 2005 03  87128·
 2005 02  10157·
 2005 01  39178·
 2004 12 56179·
 2004 11 24124.
 2004 10 89130·
 2004 09 11144.
 2004 08 9120·
 2004 07 42104.
 2004 06 986·
 2004 05 7785.
 2004 04 31112·
 2004 03 49122·
 2004 02 8126·
 2004 01 7138.
 2003 12  21155.
 2003 11  75156·
 2003 10  47128.
 2003 09  95117·
 2003 08  6116.
 2003 07  7893·
 2003 06  1695.
 2003 05  59120.
 2003 04  36123.
 2003 03  40129.
 2003 02  26124.
 2003 01  44126·
 2002 12 87139·
 2002 11 66172.
 2002 10 16179.
 2002 09 19118·
 2002 08 58124·
 2002 07 89121·
 2002 06 49162.
 2002 05 79168·
 2002 04 75152·
 2002 03 65131·
 2002 02 13139.
 2002 01 42112.
 2001 12  88125·
 2001 11  76140.
 2001 10  20123·
 2001 09  52126.
 2001 08  7387·
 2001 07  28125·
 2001 06  8103.
 2001 05  79108·
 2001 04  30126.
 2001 03  53109.
 2001 02  41103.
 2001 01  1783·
 2000 12 85119.
 2000 11 8100.
 2000 10 6140·
 2000 09 84130.
 2000 08 88106·
 2000 07 74122.
 2000 06 15128·
 2000 05 26112.
 2000 04 14121.
 2000 03 59110.
 2000 02 8129·
 2000 01 11116.
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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, 25-34 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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