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 Series Title: Employment Level: Service Occupations, Except Protective Occupations in Durable Goods Manufacturing Industry: NSA
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 2012 04 5686·
 2012 03 4264.
 2012 02 1862·
 2012 01 3789·
 2011 12  7684·
 2011 11  1472·
 2011 10  3181.
 2011 09  4086·
 2011 08  30103.
 2011 07  5396·
 2011 06  15107.
 2011 05  1092·
 2011 04  7192·
 2011 03  4189·
 2011 02  8173.
 2011 01  9275.
 2010 12 7285·
 2010 11 8481·
 2010 10 67118·
 2010 09 55108.
 2010 08 3475.
 2010 07 1571·
 2010 06 3778.
 2010 05 9370·
 2010 04 8361.
 2010 03 8959·
 2010 02 7854·
 2010 01 2571·
 2009 12  6968.
 2009 11  8973.
 2009 10  385.
 2009 09  9473.
 2009 08  68105.
 2009 07  21110·
 2009 06  5098·
 2009 05  71112·
 2009 04  79109·
 2009 03  17103.
 2009 02  8297.
 2009 01  50119.
 2008 12 2882.
 2008 11 3379·
 2008 10 8696.
 2008 09 49102·
 2008 08 67108·
 2008 07 5195.
 2008 06 7798·
 2008 05 12104.
 2008 04 6995.
 2008 03 7785.
 2008 02 9190.
 2008 01 1098.
 2007 12  35115.
 2007 11  4478·
 2007 10  9189·
 2007 09  3583.
 2007 08  9178·
 2007 07  897.
 2007 06  6681.
 2007 05  887.
 2007 04  8889.
 2007 03  5081.
 2007 02  2890·
 2007 01  71111·
 2006 12 0175.
 2006 11 78129·
 2006 10 15133·
 2006 09 95134.
 2006 08 28106.
 2006 07 22108.
 2006 06 9096.
 2006 05 7498·
 2006 04 9796·
 2006 03 40105·
 2006 02 4186·
 2006 01 2693.
 2005 12  58113.
 2005 11  13100.
 2005 10  81115·
 2005 09  97124.
 2005 08  8699.
 2005 07  4792.
 2005 06  4776·
 2005 05  5472.
 2005 04  8285.
 2005 03  7570.
 2005 02  482.
 2005 01  9284·
 2004 12 7188.
 2004 11 5389.
 2004 10 3797.
 2004 09 30106·
 2004 08 2131.
 2004 07 63118·
 2004 06 6197.
 2004 05 1391.
 2004 04 5371·
 2004 03 1188.
 2004 02 1376.
 2004 01 999.
 2003 12  23105.
 2003 11  29111·
 2003 10  5799.
 2003 09  13105·
 2003 08  37100·
 2003 07  7485·
 2003 06  79103.
 2003 05  4493.
 2003 04  4690·
 2003 03  26104·
 2003 02  93107.
 2003 01  4593·
 2002 12 2594·
 2002 11 94109.
 2002 10 37109·
 2002 09 87115.
 2002 08 7494·
 2002 07 8109.
 2002 06 74113.
 2002 05 63120.
 2002 04 20138·
 2002 03 26119·
 2002 02 9296.
 2002 01 9282.
 2001 12  1388·
 2001 11  28122·
 2001 10  3116·
 2001 09  19127.
 2001 08  2789·
 2001 07  21101·
 2001 06  45138.
 2001 05  12131.
 2001 04  63150·
 2001 03  38124.
 2001 02  81151·
 2001 01  66162·
 2000 12 47130.
 2000 11 34154·
 2000 10 0149.
 2000 09 0152.
 2000 08 29153·
 2000 07 92151·
 2000 06 14167.
 2000 05 58160.
 2000 04 84130.
 2000 03 18148.
 2000 02 6197·
 2000 01 10107·
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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: Service Occupations, Except Protective Occupations in Durable Goods Manufacturing 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

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