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 Series Title: Employment Level: Production Occupations in Other Services, Except Private Households Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 66470·
 2012 03 9436·
 2012 02 54432.
 2012 01 60453·
 2011 12  9443.
 2011 11  88461.
 2011 10  82438.
 2011 09  10400.
 2011 08  69409·
 2011 07  14442·
 2011 06  61382·
 2011 05  9446·
 2011 04  95392·
 2011 03  71398·
 2011 02  3428.
 2011 01  0459.
 2010 12 63473.
 2010 11 65518.
 2010 10 48492.
 2010 09 54454.
 2010 08 74429.
 2010 07 27455.
 2010 06 57429.
 2010 05 63425.
 2010 04 53429·
 2010 03 14391.
 2010 02 18384.
 2010 01 48439·
 2009 12  50439.
 2009 11  8404·
 2009 10  45368.
 2009 09  52461·
 2009 08  41420.
 2009 07  15419.
 2009 06  75433·
 2009 05  45440·
 2009 04  26440.
 2009 03  67436·
 2009 02  71424.
 2009 01  21429.
 2008 12 30379·
 2008 11 20405·
 2008 10 21435·
 2008 09 98467.
 2008 08 4501.
 2008 07 57527.
 2008 06 38469.
 2008 05 21505·
 2008 04 24533·
 2008 03 84579·
 2008 02 60583·
 2008 01 59554.
 2007 12  89588.
 2007 11  32551·
 2007 10  49542·
 2007 09  6486.
 2007 08  25488.
 2007 07  58493·
 2007 06  94477·
 2007 05  82517·
 2007 04  82503·
 2007 03  44475.
 2007 02  8425.
 2007 01  30450·
 2006 12 37415·
 2006 11 97493.
 2006 10 28511·
 2006 09 20545·
 2006 08 88548.
 2006 07 47546.
 2006 06 17504.
 2006 05 46469.
 2006 04 62455·
 2006 03 53414·
 2006 02 64408.
 2006 01 26408.
 2005 12  9429·
 2005 11  95447.
 2005 10  80442·
 2005 09  6500.
 2005 08  5448.
 2005 07  79478·
 2005 06  5530.
 2005 05  54496·
 2005 04  49520.
 2005 03  39556.
 2005 02  0528.
 2005 01  64519.
 2004 12 67470.
 2004 11 29483·
 2004 10 54514·
 2004 09 55534·
 2004 08 10594·
 2004 07 33558·
 2004 06 80515·
 2004 05 73501.
 2004 04 53460.
 2004 03 56459.
 2004 02 15512.
 2004 01 85518·
 2003 12  96546.
 2003 11  30558.
 2003 10  22552·
 2003 09  85503·
 2003 08  65490·
 2003 07  13473·
 2003 06  90472·
 2003 05  94474.
 2003 04  10513·
 2003 03  84458.
 2003 02  31472·
 2003 01  55471.
 2002 12 6464·
 2002 11 52500·
 2002 10 83483.
 2002 09 38452·
 2002 08 55453·
 2002 07 48482.
 2002 06 9522·
 2002 05 36512·
 2002 04 80527·
 2002 03 27527·
 2002 02 97575·
 2002 01 68568·
 2001 12  33576·
 2001 11  73559·
 2001 10  59509·
 2001 09  79483·
 2001 08  90483.
 2001 07  92482.
 2001 06  35456.
 2001 05  38420·
 2001 04  50447.
 2001 03  15522·
 2001 02  85528.
 2001 01  40609·
 2000 12 38599·
 2000 11 99556·
 2000 10 99598·
 2000 09 2527.
 2000 08 6513·
 2000 07 26509.
 2000 06 90489·
 2000 05 69503.
 2000 04 29490·
 2000 03 2491.
 2000 02 95410.
 2000 01 11466.
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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: Production Occupations in Other Services, Except Private Households Industry: 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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