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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 20-24 years, Men: NSA
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 2012 04 4810.
 2012 03 7510·
 2012 02 447·
 2012 01 3311·
 2011 12  446·
 2011 11  8019·
 2011 10  4818.
 2011 09  8217·
 2011 08  118·
 2011 07  7733·
 2011 06  459·
 2011 05  2418·
 2011 04  6810.
 2011 03  4919·
 2011 02  5120.
 2011 01  1
 2010 12 213·
 2010 11 02·
 2010 10 25·
 2010 09 854.
 2010 08 604·
 2010 07 64
 2010 06 6110.
 2010 05 682·
 2010 04 115.
 2010 03 974.
 2010 02 164·
 2010 01 7111·
 2009 12  2418·
 2009 11  80
 2009 10  8111·
 2009 09  3611·
 2009 08  7518.
 2009 07  2021.
 2009 06  9218.
 2009 05  3418.
 2009 04  633.
 2009 03  496·
 2009 02  134·
 2009 01  586·
 2008 12 148.
 2008 11 2313·
 2008 10 3320·
 2008 09 2713.
 2008 08 80
 2008 07 249·
 2008 06 62
 2008 05 8711.
 2008 04 347.
 2008 03 5913·
 2008 02 419.
 2008 01 53·
 2007 12  779.
 2007 11  59
 2007 10  318·
 2007 09  766·
 2007 08  3510·
 2007 07  8110·
 2007 06  209.
 2007 05  1914·
 2007 04  5919.
 2007 03  614.
 2007 02  21
 2007 01  798.
 2006 12 2311.
 2006 11 42
 2006 09 73
 2006 07 246·
 2006 06 2813.
 2006 05 205.
 2006 04 377·
 2006 02 4810.
 2006 01 9913·
 2005 12  9613·
 2005 11  314·
 2005 10  717·
 2005 09  877.
 2005 08  5210·
 2005 07  829·
 2005 06  3713·
 2005 05  675·
 2005 04  959·
 2005 03  139.
 2005 02  1410·
 2005 01  396.
 2004 12 56
 2004 11 5917·
 2004 10 9818·
 2004 09 3026·
 2004 08 9225·
 2004 07 717.
 2004 06 711·
 2004 05 898·
 2004 04 8519.
 2004 03 7011·
 2004 02 867.
 2004 01 9112.
 2003 12  4110·
 2003 11  878.
 2003 10  314.
 2003 09  387·
 2003 08  92
 2003 07  208.
 2003 06  5214·
 2003 05  546.
 2003 04  958·
 2003 03  5712.
 2003 01  542·
 2002 12 906.
 2002 10 3110.
 2002 09 109.
 2002 08 519.
 2002 07 2113.
 2002 06 710·
 2002 05 1912.
 2002 04 138·
 2002 03 4812·
 2002 02 5515·
 2002 01 4514·
 2001 12  3512.
 2001 11  9513.
 2001 10  304·
 2001 09  771.
 2001 08  357.
 2001 07  1511.
 2001 06  152·
 2001 05  271.
 2001 04  571·
 2001 03  81
 2001 01  173.
 2000 12 342.
 2000 11 712.
 2000 10 943·
 2000 08 67
 2000 07 603.
 2000 06 71
 2000 05 804·
 2000 04 2210.
 2000 03 9316·
 2000 02 7610.
 2000 01 889.
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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, 20-24 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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