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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 26822.
 2000 02 37793.
 2000 03 46825·
 2000 04 30776.
 2000 05 93780.
 2000 06 37697.
 2000 07 69773·
 2000 08 24760·
 2000 09 20777.
 2000 10 30755.
 2000 11 87718.
 2000 12 11712·
 2001 01  57675·
 2001 02  96687.
 2001 03  13703.
 2001 04  34700·
 2001 05  81769.
 2001 06  43806.
 2001 07  84783·
 2001 08  63802·
 2001 09  90721.
 2001 10  3765·
 2001 11  63757·
 2001 12  92678·
 2002 01 12681·
 2002 02 30664.
 2002 03 39689.
 2002 04 39707.
 2002 05 95711.
 2002 06 9708.
 2002 07 24810·
 2002 08 50756·
 2002 09 16723.
 2002 10 44759·
 2002 11 56733.
 2002 12 93693·
 2003 01  74734·
 2003 02  68690.
 2003 03  97641.
 2003 04  63687·
 2003 05  96622·
 2003 06  38695·
 2003 07  37729·
 2003 08  77722·
 2003 09  32775·
 2003 10  34672.
 2003 11  87760·
 2003 12  82846·
 2004 01 56783.
 2004 02 64685·
 2004 03 86587·
 2004 04 46611.
 2004 05 70642.
 2004 06 60642.
 2004 07 96738.
 2004 08 62716·
 2004 09 98720.
 2004 10 77794.
 2004 11 5776.
 2004 12 51763·
 2005 01  92689.
 2005 02  98677.
 2005 03  27718·
 2005 04  55708·
 2005 05  26647.
 2005 06  29634·
 2005 07  99658.
 2005 08  45692·
 2005 09  1747·
 2005 10  2801.
 2005 11  84813.
 2005 12  15833.
 2006 01 43748.
 2006 02 73684·
 2006 03 70690·
 2006 04 83675.
 2006 05 1717·
 2006 06 24686·
 2006 07 69656·
 2006 08 95647.
 2006 09 52673·
 2006 10 63638.
 2006 11 21620·
 2006 12 18623.
 2007 01  95595.
 2007 02  19565·
 2007 03  87576.
 2007 04  47604.
 2007 05  55635.
 2007 06  51719·
 2007 07  55787·
 2007 08  1754·
 2007 09  85753·
 2007 10  39719.
 2007 11  39684·
 2007 12  25607.
 2008 01 57617.
 2008 02 90584·
 2008 03 76614·
 2008 04 87632.
 2008 05 74673·
 2008 06 37639·
 2008 07 29586·
 2008 08 82631.
 2008 09 61578.
 2008 10 35549.
 2008 11 86603.
 2008 12 29553·
 2009 01  67596·
 2009 02  66572.
 2009 03  60615.
 2009 04  71625·
 2009 05  68623·
 2009 06  38663·
 2009 07  89650·
 2009 08  79621.
 2009 09  65574·
 2009 10  80609·
 2009 11  35668·
 2009 12  46684·
 2010 01 83650.
 2010 02 51634·
 2010 03 88569.
 2010 04 91601.
 2010 05 73559·
 2010 06 32642·
 2010 07 58754·
 2010 08 59684.
 2010 09 9698·
 2010 10 29583.
 2010 11 85630.
 2010 12 18644.
 2011 01  93644·
 2011 02  74686·
 2011 03  32681·
 2011 04  64608.
 2011 05  49598·
 2011 06  24647.
 2011 07  85691·
 2011 08  14685.
 2011 09  28707.
 2011 10  60716·
 2011 11  59687.
 2011 12  13637·
 2012 01 5585.
 2012 02 90592.
 2012 03 90602.
 2012 04 30618.
 2012 05 82570.
 2012 06 43571·
 2012 07 43596·
 2012 08 60660·
 2012 09 82676.
 2012 10 79692·
 2012 11 4639.
 2012 12 21590.
 2013 01  57586.
 2013 02  77547.
 2013 03  86557·
 2013 04  58541.
 2013 05  82525.
 2013 06  44535·
 2013 07  28583.
 2013 08  39618·
 2013 09  57632.
 2013 10  13652·
 2013 11  93570.
 2013 12  59550·
 2014 01 8597·
 2014 02 40604.
 2014 03 68594.
 2014 04 38619.
 2014 05 85597·
 2014 06 6590·
 2014 07 66630·
 2014 08 18593·
 2014 09 63618·
 2014 10 19623.
 2014 11 25695.
 2014 12 70693·
 2015 01  44685·
 2015 02  9659·
 2015 03  8579.
 2015 04  88627.
 2015 05  51632.
 2015 06  33637·
 2015 07  3646.
 2015 08  90608·
 2015 09  37613·
 2015 10  74630·
 2015 11  22603.
 2015 12  21573·
 2016 01 75628·
 2016 02 37659·
 2016 03 5590·
 2016 04 49560·
 2016 05 67517.
 2016 06 54468.
 2016 07 12495.
 2016 08 70494.
 2016 09 37508·
 2016 10 83527·
 2016 11 33528.
 2016 12 2537·
 2017 01  37619·
 2017 02  4578·
 2017 03  81599.
 2017 04  89571·
 2017 05  42519.
 2017 06  24510·


 2017 07  93562.
 2017 08  0558·
 2017 09  51580·
 2017 10  76619·
 2017 11  31640.
 2017 12  30589·
 2018 01 91537·
 2018 02 14461.
 2018 03 85461·
 2018 04 98525.
 2018 05 12585·
 2018 06 22622·
 2018 07 67684.
 2018 08 48711·
 2018 09 89737.
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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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