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 Series Title: Employment Level: Nonagriculture, Private Wage and Salary Workers, Other Industries: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 96110527.
 2012 03 4110469·
 2012 02 29110138.
 2012 01 17109353.
 2011 12  39108407.
 2011 11  67108485.
 2011 10  76108177.
 2011 09  70108026·
 2011 08  36107678·
 2011 07  15107478.
 2011 06  10107548·
 2011 05  9107722.
 2011 04  37107466.
 2011 03  31107252.
 2011 02  47107003.
 2011 01  79106845.
 2010 12 17106767.
 2010 11 21106502·
 2010 10 22106460.
 2010 09 48106778.
 2010 08 78107067.
 2010 07 18106448.
 2010 06 99106179.
 2010 05 10106133·
 2010 04 44105920.
 2010 03 76105752.
 2010 02 67105415.
 2010 01 86105457.
 2009 12  66104808·
 2009 11  79105248.
 2009 10  37105444.
 2009 09  18105738·
 2009 08  19106173·
 2009 07  33106676.
 2009 06  48106618·
 2009 05  76107064·
 2009 04  4107601.
 2009 03  69107909·
 2009 02  63108623·
 2009 01  54109172.
 2008 12 45109920·
 2008 11 44110675.
 2008 10 69111234.
 2008 09 72111431.
 2008 08 94111629.
 2008 07 40111968·
 2008 06 79112223·
 2008 05 73112272.
 2008 04 26112467·
 2008 03 64112544·
 2008 02 32112409.
 2008 01 26113020·
 2007 12  41113029.
 2007 11  46113266.
 2007 10  90112697.
 2007 09  27112487·
 2007 08  64112342·
 2007 07  44112486·
 2007 06  42112361·
 2007 05  93112058·
 2007 04  47111917·
 2007 03  39112406·
 2007 02  99112203.
 2007 01  69112221.
 2006 12 63112078·
 2006 11 39111886·
 2006 10 0111818·
 2006 09 24111591.
 2006 08 14111644·
 2006 07 73111205·
 2006 06 8111578·
 2006 05 53111215·
 2006 04 26110843.
 2006 03 0110778.
 2006 02 10110558·
 2006 01 74110329.
 2005 12  48110124.
 2005 11  1109831.
 2005 10  20109787.
 2005 09  31109721.
 2005 08  55109678·
 2005 07  83108935·
 2005 06  76108554·
 2005 05  95108256.
 2005 04  49107842.
 2005 03  76107540.
 2005 02  40107357.
 2005 01  58107283·
 2004 12 55107243.
 2004 11 39107143·
 2004 10 0106882·
 2004 09 40106734.
 2004 08 23106611·
 2004 07 51107234.
 2004 06 69106550·
 2004 05 85106683.
 2004 04 28106566.
 2004 03 21106240·
 2004 02 85106291.
 2004 01 62106095.
 2003 12  71106098·
 2003 11  80105908·
 2003 10  11105538·
 2003 09  66105288·
 2003 08  77105223.
 2003 07  84105312.
 2003 06  35105560·
 2003 05  15105809·
 2003 04  97105943.
 2003 03  14105851.
 2003 02  69105631·
 2003 01  54105180·
 2002 12 5104601.
 2002 11 79104295·
 2002 10 52105040.
 2002 09 52105434·
 2002 08 4105105·
 2002 07 9104581·
 2002 06 47104676·
 2002 05 3104662.
 2002 04 17104590·
 2002 03 60104806·
 2002 02 41104848.
 2002 01 26104538·
 2001 12  95104591·
 2001 11  15104761·
 2001 10  47104859·
 2001 09  65105191·
 2001 08  13104743.
 2001 07  81105534·
 2001 06  3105691·
 2001 05  90105637·
 2001 04  73105825·
 2001 03  88105781.
 2001 02  73105756·
 2001 01  94106266·
 2000 12 99105938·
 2000 11 94105918·
 2000 10 43105803·
 2000 09 96105233.
 2000 08 41105684·
 2000 07 79105474.
 2000 06 27105399.
 2000 05 42104745.
 2000 04 76105062.
 2000 03 52104153.
 2000 02 62104169.
 2000 01 99104315·
 1999 12  4102704·
 1999 11  43102329·
 1999 10  13102054.
 1999 09  63101478·
 1999 08  49101196.
 1999 07  9101174·
 1999 06  65101001·
 1999 05  52101582.
 1999 04  62101061·
 1999 03  31101225·
 1999 02  34101179.
 1999 01  10101033.
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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 Wage and Salary Workers, Other Industries: SA
   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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