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 Series Title: Employment Level: Sales and Office Occupations, Cuban: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 45226·
 2012 03 48243·
 2012 02 12224·
 2012 01 78200·
 2011 12  10151·
 2011 11  74183.
 2011 10  40239·
 2011 09  4224.
 2011 08  47244·
 2011 07  5262·
 2011 06  74248·
 2011 05  36236.
 2011 04  8234.
 2011 03  23247.
 2011 02  29253.
 2011 01  16222·
 2010 12 66180·
 2010 11 33170·
 2010 10 42215·
 2010 09 15191·
 2010 08 24215.
 2010 07 69229.
 2010 06 75212·
 2010 05 25222·
 2010 04 5233·
 2010 03 85213.
 2010 02 18249·
 2010 01 68250·
 2009 12  62217·
 2009 11  64224·
 2009 10  82189·
 2009 09  86158·
 2009 08  68184·
 2009 07  13197.
 2009 06  5177·
 2009 05  49197.
 2009 04  24175·
 2009 03  63191·
 2009 02  51191·
 2009 01  50208.
 2008 12 56240.
 2008 11 71234·
 2008 10 7214·
 2008 09 10233·
 2008 08 14254.
 2008 07 19235·
 2008 06 86193.
 2008 05 72200.
 2008 04 74170.
 2008 03 12201.
 2008 02 26218·
 2008 01 5253.
 2007 12  36252.
 2007 11  84244·
 2007 10  91210·
 2007 09  4220·
 2007 08  25185.
 2007 07  89230·
 2007 06  67257.
 2007 05  87223·
 2007 04  91234·
 2007 03  11188·
 2007 02  68203.
 2007 01  99213.
 2006 12 11245·
 2006 11 56221.
 2006 10 31186·
 2006 09 9187.
 2006 08 84170·
 2006 07 54188·
 2006 06 20191.
 2006 05 11181.
 2006 04 36214·
 2006 03 64187.
 2006 02 23219.
 2006 01 24208·
 2005 12  17227·
 2005 11  67240.
 2005 10  51226.
 2005 09  92221·
 2005 08  3181·
 2005 07  68175.
 2005 06  44192.
 2005 05  85178·
 2005 04  94189.
 2005 03  1186·
 2005 02  64197.
 2005 01  96178·
 2004 12 15175·
 2004 11 21202.
 2004 10 99178.
 2004 09 45218.
 2004 08 17204.
 2004 07 10209.
 2004 06 62251·
 2004 05 76224·
 2004 04 75239·
 2004 03 75193·
 2004 02 91165.
 2004 01 58176·
 2003 12  90174·
 2003 11  48171.
 2003 10  48168.
 2003 09  85164·
 2003 08  86201.
 2003 07  84217.
 2003 06  22200.
 2003 05  77229.
 2003 04  15216·
 2003 03  66190·
 2003 02  25176.
 2003 01  77178·
 2002 12 52176.
 2002 11 1160·
 2002 10 95174·
 2002 09 54158.
 2002 08 97184·
 2002 07 20201·
 2002 06 96154.
 2002 05 3198.
 2002 04 75165·
 2002 03 79179.
 2002 02 15181·
 2002 01 43171·
 2001 12  38193·
 2001 11  61167·
 2001 10  64149·
 2001 09  18167·
 2001 08  60185.
 2001 07  71205.
 2001 06  83171·
 2001 05  97181.
 2001 04  41168·
 2001 03  43184·
 2001 02  34191·
 2001 01  75190.
 2000 12 7201·
 2000 11 31223.
 2000 10 4214.
 2000 09 69228·
 2000 08 9210.
 2000 07 18217.
 2000 06 6213·
 2000 05 26212·
 2000 04 22195·
 2000 03 11208.
 2000 02 79213·
 2000 01 13213·
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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 Office Occupations, Cuban: 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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