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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  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 20841.
 2000 02 33825·
 2000 03 92748·
 2000 04 50680·
 2000 05 85683·
 2000 06 75802.
 2000 07 1794.
 2000 08 74850·
 2000 09 85897·
 2000 10 84796·
 2000 11 80803.
 2000 12 65780·
 2001 01  71776·
 2001 02  43778.
 2001 03  41746·
 2001 04  67792·
 2001 05  17784.
 2001 06  56724.
 2001 07  22841.
 2001 08  50807·
 2001 09  25779·
 2001 10  57789.
 2001 11  87705·
 2001 12  8691·
 2002 01 19760·
 2002 02 2792·
 2002 03 24795·
 2002 04 60769.
 2002 05 50803.
 2002 06 72746.
 2002 07 44792·
 2002 08 50784.
 2002 09 94723·
 2002 10 75753.
 2002 11 86758·
 2002 12 47758.
 2003 01  51787·
 2003 02  41804·
 2003 03  14789·
 2003 04  46794.
 2003 05  46790.
 2003 06  27767·
 2003 07  14841.
 2003 08  65820.
 2003 09  29843.
 2003 10  15820·
 2003 11  99822·
 2003 12  49798.
 2004 01 77764·
 2004 02 12851·
 2004 03 9839·
 2004 04 67818.
 2004 05 88793.
 2004 06 49761.
 2004 07 4781·
 2004 08 13723.
 2004 09 90755.
 2004 10 83808.
 2004 11 74860.
 2004 12 6893·
 2005 01  32816.
 2005 02  96864.
 2005 03  32835.
 2005 04  90807.
 2005 05  89862·
 2005 06  94822.
 2005 07  14846.
 2005 08  34803.
 2005 09  62780·
 2005 10  8797·
 2005 11  85777.
 2005 12  33846.
 2006 01 77772.
 2006 02 96765.
 2006 03 31740.
 2006 04 6787·
 2006 05 83858.
 2006 06 40814.
 2006 07 66838.
 2006 08 96823·
 2006 09 57850.
 2006 10 44836·
 2006 11 28889.
 2006 12 74856.
 2007 01  98748·
 2007 02  43766·
 2007 03  79789·
 2007 04  32798·
 2007 05  32807.
 2007 06  91872·
 2007 07  8829·
 2007 08  91776.
 2007 09  9819·
 2007 10  71776·
 2007 11  27881·
 2007 12  94952.
 2008 01 5885·
 2008 02 90870·
 2008 03 75848.
 2008 04 10856.
 2008 05 19838·
 2008 06 78810.
 2008 07 14827·
 2008 08 34771.
 2008 09 79780·
 2008 10 93805.
 2008 11 31818·
 2008 12 85884.
 2009 01  33872.
 2009 02  16836.
 2009 03  41809·
 2009 04  7802·
 2009 05  58789·
 2009 06  54814.
 2009 07  80825.
 2009 08  69846·
 2009 09  53795.
 2009 10  38790·
 2009 11  13794·
 2009 12  66831·
 2010 01 44829·
 2010 02 26841.
 2010 03 25902·
 2010 04 15910·
 2010 05 81833.
 2010 06 99799.
 2010 07 32773·
 2010 08 62789.
 2010 09 41774·
 2010 10 62824·
 2010 11 69807·
 2010 12 76738.
 2011 01  22780.
 2011 02  49830·
 2011 03  1848.
 2011 04  50838.
 2011 05  51864.
 2011 06  16810.
 2011 07  15803·
 2011 08  5809·
 2011 09  79754.
 2011 10  44787·
 2011 11  24812.
 2011 12  83822.
 2012 01 79879.
 2012 02 40824.
 2012 03 66783·
 2012 04 55787·
 2012 05 53796.
 2012 06 36841·
 2012 07 4807·
 2012 08 14842.
 2012 09 27896·
 2012 10 88907.
 2012 11 26958·
 2012 12 79940.
 2013 01  50807.
 2013 02  78839·
 2013 03  44838.
 2013 04  95798·
 2013 05  98864·
 2013 06  12838.
 2013 07  96767·
 2013 08  31824.
 2013 09  71827.
 2013 10  23922·
 2013 11  47956·
 2013 12  81945.
 2014 01 95850·
 2014 02 66798.
 2014 03 82861·
 2014 04 63933.
 2014 05 20992·
 2014 06 24976·
 2014 07 15960·
 2014 08 23939.
 2014 09 21924.
 2014 10 41033.
 2014 11 851094.
 2014 12 291005.
 2015 01  0961·
 2015 02  35870·
 2015 03  54867·
 2015 04  76825·
 2015 05  80909.
 2015 06  77964·
 2015 07  9970.
 2015 08  821014.
 2015 09  14938·
 2015 10  9942·
 2015 11  64991·
 2015 12  921020.
 2016 01 75953.
 2016 02 39991·
 2016 03 571006.
 2016 04 75985.
 2016 05 65980·
 2016 06 98992.
 2016 07 501036.
 2016 08 25976·
 2016 09 9910·
 2016 10 44976.
 2016 11 32969.
 2016 12 61970.
 2017 01  571020.
 2017 02  571044.
 2017 03  15994·
 2017 04  281030.
 2017 05  841079·
 2017 06  441068.
 2017 07  37971·
 2017 08  94934.
 2017 09  92989.
 2017 10  371056·
 2017 11  621126.


 2017 12  531118.
 2018 01 51038.
 2018 02 92981·
 2018 03 761054·
 2018 04 251016.
 2018 05 741052.
 2018 06 921035·
 2018 07 931068.
 2018 08 541078.
 2018 09 74962.
 2018 10 43954·
 2018 11 511079·
 2018 12 91056.
 2019 01  51004·
 2019 02  76948·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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