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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 25-34 years, Men: NSA
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 2012 04 53.
 2012 03 616·
 2012 02 8010·
 2012 01 6411·
 2011 12  406.
 2011 11  3613.
 2011 10  8429·
 2011 09  4411.
 2011 08  5912·
 2011 07  2712·
 2011 06  710·
 2011 05  4215.
 2011 04  14
 2011 03  18
 2011 02  636.
 2011 01  213·
 2010 12 8016·
 2010 11 1316.
 2010 10 895·
 2010 09 921·
 2010 08 574.
 2010 07 4622.
 2010 06 4914.
 2010 05 725.
 2010 04 7119.
 2010 03 739·
 2010 02 2914.
 2010 01 6613.
 2009 12  7233·
 2009 11  7517.
 2009 10  4413·
 2009 09  1325·
 2009 08  3515·
 2009 07  6025.
 2009 06  3119·
 2009 05  1712.
 2009 04  625·
 2009 03  588·
 2009 02  5323·
 2009 01  7316·
 2008 12 7611·
 2008 11 2622·
 2008 10 9724.
 2008 09 9921.
 2008 08 2918·
 2008 07 4611·
 2008 06 7810.
 2008 05 4010·
 2008 04 964.
 2008 03 250·
 2008 02 31
 2008 01 657·
 2007 12  7723·
 2007 11  9424·
 2007 10  2218·
 2007 09  6819.
 2007 08  986.
 2007 07  1113·
 2007 06  3613·
 2007 05  6821.
 2007 04  1017.
 2007 03  5510.
 2007 02  8824.
 2007 01  923·
 2006 12 8611·
 2006 11 357·
 2006 10 1511.
 2006 09 6018·
 2006 08 2912·
 2006 07 8224.
 2006 06 8018·
 2006 05 1612.
 2006 04 63
 2006 03 528·
 2006 02 716.
 2006 01 9613·
 2005 12  3913·
 2005 11  278.
 2005 10  13·
 2005 09  4325.
 2005 08  3228.
 2005 07  1435.
 2005 06  727·
 2005 05  2816·
 2005 04  4316.
 2005 03  4411.
 2005 02  5312.
 2005 01  4329·
 2004 12 9628·
 2004 11 7511.
 2004 10 262.
 2004 09 97.
 2004 08 436·
 2004 06 875.
 2004 05 409·
 2004 04 6912·
 2004 03 588.
 2004 02 872.
 2004 01 32
 2003 12  9311·
 2003 11  436.
 2003 10  74·
 2003 09  651·
 2003 08  746.
 2003 07  2210·
 2003 06  47·
 2003 05  287.
 2003 04  3210·
 2003 03  4512.
 2003 02  609·
 2003 01  323·
 2002 12 114·
 2002 11 894·
 2002 10 8019·
 2002 09 1611.
 2002 08 8011·
 2002 07 549.
 2002 06 9623.
 2002 05 4241.
 2002 04 3325·
 2002 03 6511.
 2002 02 669.
 2002 01 010.
 2001 12  906·
 2001 11  7216.
 2001 10  7016·
 2001 09  019·
 2001 08  9418.
 2001 07  5118.
 2001 06  1613·
 2001 05  834.
 2001 04  1411·
 2001 03  27·
 2001 02  3515.
 2001 01  91.
 2000 12 468.
 2000 11 5018.
 2000 10 8425·
 2000 09 6821.
 2000 08 711·
 2000 07 4712.
 2000 06 4413.
 2000 05 7114.
 2000 04 4313.
 2000 03 6715·
 2000 02 2220.
 2000 01 5812.
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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, Men: 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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