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 Series Title: Employment Level: Sales and Related in Nondurable Goods Manufacturing Industry: NSA
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 2012 04 62261·
 2012 03 87282.
 2012 02 51281.
 2012 01 81299·
 2011 12  30326·
 2011 11  50312.
 2011 10  0309.
 2011 09  63313.
 2011 08  7276·
 2011 07  56279·
 2011 06  94222·
 2011 05  88211.
 2011 04  46253·
 2011 03  86270.
 2011 02  45311·
 2011 01  99340·
 2010 12 20337·
 2010 11 47324·
 2010 10 92369·
 2010 09 67327.
 2010 08 30335.
 2010 07 69347·
 2010 06 97305·
 2010 05 84259.
 2010 04 2256·
 2010 03 10280.
 2010 02 49284·
 2010 01 69307.
 2009 12  86301·
 2009 11  52262.
 2009 10  59285.
 2009 09  69270·
 2009 08  58304·
 2009 07  1295.
 2009 06  67309.
 2009 05  50300·
 2009 04  17306.
 2009 03  88277·
 2009 02  34248·
 2009 01  8267·
 2008 12 90288·
 2008 11 71298.
 2008 10 50354·
 2008 09 61302.
 2008 08 26310.
 2008 07 31298·
 2008 06 26270·
 2008 05 54279.
 2008 04 1302·
 2008 03 74269.
 2008 02 0261.
 2008 01 55260.
 2007 12  16276.
 2007 11  33258·
 2007 10  36281.
 2007 09  60331·
 2007 08  95318·
 2007 07  63316.
 2007 06  21282·
 2007 05  87251.
 2007 04  89252.
 2007 03  47249·
 2007 02  69270.
 2007 01  80252.
 2006 12 74261·
 2006 11 91279.
 2006 10 17267.
 2006 09 8235·
 2006 08 50252·
 2006 07 28242·
 2006 06 27277.
 2006 05 66308·
 2006 04 43308.
 2006 03 12326.
 2006 02 89333·
 2006 01 73308.
 2005 12  2303.
 2005 11  27288.
 2005 10  14250·
 2005 09  72274·
 2005 08  3255·
 2005 07  78273.
 2005 06  41285.
 2005 05  34298·
 2005 04  47342·
 2005 03  98290.
 2005 02  33277·
 2005 01  51261·
 2004 12 58297·
 2004 11 43283·
 2004 10 77271·
 2004 09 44265·
 2004 08 88219.
 2004 07 94255.
 2004 06 87276·
 2004 05 56260.
 2004 04 12293·
 2004 03 59295·
 2004 02 99319.
 2004 01 56359·
 2003 12  30295.
 2003 11  69284·
 2003 10  78319.
 2003 09  40314·
 2003 08  67337.
 2003 07  80344·
 2003 06  11330.
 2003 05  25340·
 2003 04  74329·
 2003 03  75321.
 2003 02  11316·
 2003 01  55339·
 2002 12 26309·
 2002 11 60316·
 2002 10 16297·
 2002 09 1288.
 2002 08 24304·
 2002 07 66326·
 2002 06 88364·
 2002 05 57340·
 2002 04 93363.
 2002 03 50357.
 2002 02 16320·
 2002 01 40309.
 2001 12  83310·
 2001 11  94322·
 2001 10  12343·
 2001 09  96360.
 2001 08  70314·
 2001 07  4317·
 2001 06  15327·
 2001 05  94352·
 2001 04  54304.
 2001 03  13345.
 2001 02  87350.
 2001 01  27308.
 2000 12 61339·
 2000 11 76330·
 2000 10 17349·
 2000 09 16385.
 2000 08 41441.
 2000 07 75368.
 2000 06 16392·
 2000 05 3346.
 2000 04 69327·
 2000 03 18377·
 2000 02 23405·
 2000 01 59394.
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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: Sales and Related in Nondurable Goods Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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