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 Series Title: Employment Level: Production Occupations in Wholesale and 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 73822·
 2000 02 69793.
 2000 03 78825·
 2000 04 33776·
 2000 05 93780·
 2000 06 17697.
 2000 07 69773·
 2000 08 40760·
 2000 09 3777.
 2000 10 89755·
 2000 11 87718·
 2000 12 71712.
 2001 01  56675.
 2001 02  66687.
 2001 03  43703·
 2001 04  70700·
 2001 05  25769·
 2001 06  54806.
 2001 07  76783.
 2001 08  6802·
 2001 09  12721·
 2001 10  86765.
 2001 11  48757·
 2001 12  73678·
 2002 01 42681.
 2002 02 18664.
 2002 03 48689.
 2002 04 91707·
 2002 05 66711.
 2002 06 32708·
 2002 07 89810.
 2002 08 2756.
 2002 09 58723·
 2002 10 34759.
 2002 11 7733·
 2002 12 78693.
 2003 01  19734·
 2003 02  56690.
 2003 03  67641.
 2003 04  10687.
 2003 05  74622·
 2003 06  54695.
 2003 07  56729·
 2003 08  20722.
 2003 09  74775.
 2003 10  11672·
 2003 11  87760·
 2003 12  50846·
 2004 01 95783·
 2004 02 32685·
 2004 03 97587·
 2004 04 71611·
 2004 05 36642.
 2004 06 51642.
 2004 07 50738.
 2004 08 76716.
 2004 09 23720·
 2004 10 22794.
 2004 11 34776·
 2004 12 84763.
 2005 01  7689.
 2005 02  28677·
 2005 03  61718.
 2005 04  40708·
 2005 05  62647·
 2005 06  75634.
 2005 07  70658·
 2005 08  12692·
 2005 09  90747·
 2005 10  96801.
 2005 11  23813.
 2005 12  95833.
 2006 01 15748·
 2006 02 46684·
 2006 03 8690.
 2006 04 8675.
 2006 05 89717·
 2006 06 8686·
 2006 07 38656·
 2006 08 95647·
 2006 09 85673·
 2006 10 88638.
 2006 11 52620.
 2006 12 25623.
 2007 01  6595.
 2007 02  17565.
 2007 03  11576.
 2007 04  93604·
 2007 05  75635·
 2007 06  52719·
 2007 07  3787·
 2007 08  17754·
 2007 09  44753·
 2007 10  76719·
 2007 11  42684.
 2007 12  41607·
 2008 01 88617·
 2008 02 94584.
 2008 03 66614.
 2008 04 36632.
 2008 05 7673·
 2008 06 38639·
 2008 07 37586.
 2008 08 94631.
 2008 09 27578·
 2008 10 65549.
 2008 11 44603·
 2008 12 35553.
 2009 01  99596·
 2009 02  57572.
 2009 03  99615.
 2009 04  4625.
 2009 05  96623.
 2009 06  20663·
 2009 07  39650.
 2009 08  69621.
 2009 09  21574·
 2009 10  85609·
 2009 11  29668·
 2009 12  24684·
 2010 01 98650.
 2010 02 10634·
 2010 03 55569·
 2010 04 89601.
 2010 05 77559·
 2010 06 76642.
 2010 07 32754.
 2010 08 7684.
 2010 09 34698·
 2010 10 90583.
 2010 11 96630.
 2010 12 49644·
 2011 01  70644·
 2011 02  82686·
 2011 03  10681.
 2011 04  7608.
 2011 05  10598·
 2011 06  11647.
 2011 07  63691·
 2011 08  2685.
 2011 09  4707.
 2011 10  58716·
 2011 11  67687.
 2011 12  77637·
 2012 01 28585·
 2012 02 29592·
 2012 03 60602.
 2012 04 2618·
 2012 05 82570·
 2012 06 55571.
 2012 07 6596.
 2012 08 70660.
 2012 09 91676·
 2012 10 94692.
 2012 11 91639·
 2012 12 0590·
 2013 01  6586·
 2013 02  28547·
 2013 03  29557.
 2013 04  38541.
 2013 05  2525.
 2013 06  62535·
 2013 07  58583.
 2013 08  52618.
 2013 09  79632.
 2013 10  29652.
 2013 11  41570·
 2013 12  35550.
 2014 01 64597.
 2014 02 84604·
 2014 03 65594·
 2014 04 8619.
 2014 05 6597·
 2014 06 11590·
 2014 07 43630·
 2014 08 15593.
 2014 09 80618·
 2014 10 15623.
 2014 11 14695·
 2014 12 24693·
 2015 01  88685.
 2015 02  27659·
 2015 03  40579·
 2015 04  30627·
 2015 05  54632.
 2015 06  6637.
 2015 07  10646.
 2015 08  51608.
 2015 09  30613.
 2015 10  32630.
 2015 11  35603.
 2015 12  33573.
 2016 01 89628·
 2016 02 11659·
 2016 03 54590.
 2016 04 44560·
 2016 05 34517.
 2016 06 77468·
 2016 07 30495·
 2016 08 78494·
 2016 09 88508·
 2016 10 84527·
 2016 11 50528.
 2016 12 54537·
 2017 01  3619·
 2017 02  16578·
 2017 03  28599·
 2017 04  17571.


 2017 05  53519·
 2017 06  78510.
 2017 07  2562.
 2017 08  36558.
 2017 09  40580.
 2017 10  2619·
 2017 11  33640·
 2017 12  4589.
 2018 01 89537·
 2018 02 44461·
 2018 03 11461.
 2018 04 42525.
 2018 05 50585.
 2018 06 88622.
 2018 07 49684.
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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: Production Occupations in Wholesale and 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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