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 Series Title: Employment Level: Professional, and Related Occupations in Retail Trade Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 62841·
 2000 02 45825.
 2000 03 81748·
 2000 04 27680·
 2000 05 67683.
 2000 06 86802·
 2000 07 71794·
 2000 08 40850·
 2000 09 89897·
 2000 10 75796.
 2000 11 13803.
 2000 12 1780.
 2001 01  78776·
 2001 02  95778.
 2001 03  18746·
 2001 04  55792.
 2001 05  9784·
 2001 06  51724.
 2001 07  24841.
 2001 08  71807·
 2001 09  82779·
 2001 10  75789.
 2001 11  96705.
 2001 12  43691·
 2002 01 24760.
 2002 02 25792.
 2002 03 20795.
 2002 04 91769.
 2002 05 83803·
 2002 06 81746·
 2002 07 9792.
 2002 08 57784·
 2002 09 36723·
 2002 10 51753·
 2002 11 1758·
 2002 12 13758·
 2003 01  84787.
 2003 02  65804.
 2003 03  60789.
 2003 04  50794·
 2003 05  51790·
 2003 06  81767.
 2003 07  72841.
 2003 08  90820.
 2003 09  87843.
 2003 10  80820·
 2003 11  52822·
 2003 12  76798·
 2004 01 69764·
 2004 02 70851·
 2004 03 36839.
 2004 04 76818·
 2004 05 97793·
 2004 06 80761.
 2004 07 88781·
 2004 08 86723·
 2004 09 95755.
 2004 10 69808·
 2004 11 96860·
 2004 12 25893.
 2005 01  15816.
 2005 02  18864.
 2005 03  72835·
 2005 04  35807.
 2005 05  32862·
 2005 06  33822.
 2005 07  55846.
 2005 08  88803.
 2005 09  46780.
 2005 10  46797·
 2005 11  7777·
 2005 12  76846.
 2006 01 83772·
 2006 02 14765.
 2006 03 16740·
 2006 04 19787.
 2006 05 92858·
 2006 06 18814·
 2006 07 95838·
 2006 08 61823.
 2006 09 50850·
 2006 10 65836.
 2006 11 81889.
 2006 12 71856·
 2007 01  57748.
 2007 02  87766.
 2007 03  39789.
 2007 04  44798·
 2007 05  38807·
 2007 06  40872·
 2007 07  56829·
 2007 08  98776.
 2007 09  43819·
 2007 10  6776·
 2007 11  44881·
 2007 12  78952·
 2008 01 48885·
 2008 02 92870·
 2008 03 41848·
 2008 04 52856.
 2008 05 54838.
 2008 06 29810·
 2008 07 11827.
 2008 08 15771·
 2008 09 85780·
 2008 10 74805.
 2008 11 42818.
 2008 12 87884.
 2009 01  93872·
 2009 02  8836·
 2009 03  45809.
 2009 04  10802·
 2009 05  52789·
 2009 06  38814·
 2009 07  60825.
 2009 08  55846.
 2009 09  63795·
 2009 10  96790·
 2009 11  48794·
 2009 12  16831.
 2010 01 51829.
 2010 02 39841·
 2010 03 99902·
 2010 04 11910.
 2010 05 66833.
 2010 06 47799·
 2010 07 24773·
 2010 08 84789.
 2010 09 85774·
 2010 10 28824.
 2010 11 61807.
 2010 12 6738.
 2011 01  8780·
 2011 02  14830.
 2011 03  75848.
 2011 04  69838·
 2011 05  59864·
 2011 06  60810.
 2011 07  51803.
 2011 08  94809.
 2011 09  89754·
 2011 10  49787·
 2011 11  4812.
 2011 12  24822·
 2012 01 74879·
 2012 02 88824.


 2012 03 71783.
 2012 04 29787.
 2012 05 14796.
 2012 06 7841.
 2012 07 16807·
 2012 08 2842.
 2012 09 34896·
 2012 10 64907·
 2012 11 25958·
 2012 12 63940·
 2013 01  86807·
 2013 02  40839·
 2013 03  12838·
 2013 04  55798.
 2013 05  43864.
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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: Professional, and Related Occupations in Retail Trade Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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