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 Series Title: Employment Level: Service Occupations, Except Protective Occupations in Nondurable Goods Manufacturing Industry: NSA
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 2012 04 1298·
 2012 03 56117·
 2012 02 6106·
 2012 01 1102·
 2011 12  6116·
 2011 11  88106.
 2011 10  13127·
 2011 09  82116·
 2011 08  73111.
 2011 07  23113·
 2011 06  2892.
 2011 05  6891·
 2011 04  6399.
 2011 03  4697.
 2011 02  6289.
 2011 01  383.
 2010 12 5287.
 2010 11 6172·
 2010 10 55100·
 2010 09 5798.
 2010 08 3976.
 2010 07 196.
 2010 06 6897·
 2010 05 22107.
 2010 04 50111·
 2010 03 22108.
 2010 02 90113.
 2010 01 19109.
 2009 12  36102·
 2009 11  6104·
 2009 10  34103.
 2009 09  92134·
 2009 08  72130.
 2009 07  59104.
 2009 06  37152·
 2009 05  9163·
 2009 04  58149·
 2009 03  14137·
 2009 02  62119.
 2009 01  6695.
 2008 12 20102.
 2008 11 27121·
 2008 10 98122·
 2008 09 80116.
 2008 08 889·
 2008 07 7987·
 2008 06 5797.
 2008 05 97106·
 2008 04 97110·
 2008 03 77101.
 2008 02 7788·
 2008 01 85124·
 2007 12  89133.
 2007 11  53116.
 2007 10  21100.
 2007 09  3884·
 2007 08  782.
 2007 07  6489·
 2007 06  7780.
 2007 05  7694.
 2007 04  386·
 2007 03  9078·
 2007 02  5794.
 2007 01  4291.
 2006 12 5379.
 2006 11 3999.
 2006 10 0101·
 2006 09 7108.
 2006 08 55132·
 2006 07 43107·
 2006 06 69115·
 2006 05 64112.
 2006 04 37104·
 2006 03 57140·
 2006 02 51108.
 2006 01 31106.
 2005 12  48104.
 2005 11  64130·
 2005 10  59151.
 2005 09  54122·
 2005 08  63119·
 2005 07  71118.
 2005 06  32109·
 2005 05  2134.
 2005 04  84120·
 2005 03  8102.
 2005 02  32108·
 2005 01  6891·
 2004 12 35102·
 2004 11 3399·
 2004 10 4696.
 2004 09 7288·
 2004 08 66114.
 2004 07 26118.
 2004 06 89111.
 2004 05 57108·
 2004 04 5493·
 2004 03 9697.
 2004 02 9795·
 2004 01 9477.
 2003 12  99119.
 2003 11  7397.
 2003 10  3477.
 2003 09  7688·
 2003 08  25112.
 2003 07  15126·
 2003 06  88105.
 2003 05  22113·
 2003 04  84109·
 2003 03  2117.
 2003 02  70118.
 2003 01  77120·
 2002 12 50110·
 2002 11 41109.
 2002 10 21124.
 2002 09 9138·
 2002 08 25124.
 2002 07 64121·
 2002 06 1109.
 2002 05 13103.
 2002 04 33159·
 2002 03 28163.
 2002 02 99151·
 2002 01 7147·
 2001 12  25149·
 2001 11  15141.
 2001 10  29129·
 2001 09  37104·
 2001 08  76124.
 2001 07  30160.
 2001 06  27142.
 2001 05  71154·
 2001 04  87137.
 2001 03  6111.
 2001 02  57124·
 2001 01  3139.
 2000 12 83136·
 2000 11 99151·
 2000 10 7147.
 2000 09 52172.
 2000 08 15186·
 2000 07 91167.
 2000 06 89143.
 2000 05 63149.
 2000 04 58134.
 2000 03 8897.
 2000 02 42144.
 2000 01 5163.
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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 Nondurable 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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