The following table details the median income for various education levels for store shelf stockers, clerks and order fillers.
Education Level
Median Income
No certificate, diploma or degree
$14,953
Secondary (high) school diploma or equivalency certificate
$20,542
Apprenticeship or trades certificate or diploma
N/A
College, CEGEP or other non-university certificate or diploma
$14,866
University certificate or diploma below bachelor level
N/A
University certificate, diploma or degree at bachelor level or above
$18,797
Total: Highest certificate, diploma or degree
$18,545
Data source: Statistics Canada 2016 Census of Population. Custom tabulation for population aged 15 and over who worked in 2015 and reported employment income in 2015.
Median Income by Gender
The following table details median income by gender for store shelf stockers, clerks and order fillers.
Gender
Median Income
Male
$14,353
Female
$11,354
Data source: Statistics Canada 2016 Census of Population. Custom tabulation for population aged 15 and over who worked in 2015 and reported employment income in 2015.
The following salary data has been extracted from job posts indexed on this website over the last year for store shelf stockers, clerks and order fillers.
Regional Employment Participation by Employment Type
This chart outlines regional employment participation by employment type for store shelf stockers, clerks and order fillers. Hover over a pie section to see the associated employment type, or refer to the table below.
Employment Type
Employed Individuals
Full Time
1,355
Part Time
455
Total
1,810
Data source: Statistics Canada 2016 Census of Population. Custom tabulation for population aged 15 and over who worked in 2015 and reported employment income in 2015.
This chart outlines regional employment participation by gender for store shelf stockers, clerks and order fillers. Hover over a pie section to see the associated gender, or refer to the table below.
Gender
Employed Individuals
Male
1,070
Female
735
Total
1,805
Data source: Statistics Canada 2016 Census of Population. Custom tabulation for population aged 15 and over who worked in 2015 and reported employment income in 2015.
Regional Employment Participation by Class of Worker
This chart outlines regional employment participation by class of worker for store shelf stockers, clerks and order fillers. Hover over a pie section to see the associated class, or refer to the table below.
Class
Employed Individuals
Employee
1,675
Self Employed
0
Total
1,675
Data source: Statistics Canada 2016 Census of Population. Custom tabulation for labour force aged 15 and over in private households.
Regional Employment Participation by Labour Force Status
This chart outlines regional employment participation by labour force status for store shelf stockers, clerks and order fillers. Hover over a pie section to see the associated labour status, or refer to the table below.
Labour Status
Individuals
Employed
1,575
Unemployed
100
Total
1,675
Data source: Statistics Canada 2016 Census of Population. Custom tabulation for labour force aged 15 and over in private households.
Regional Employment Participation by Education Level
This chart outlines regional employment participation by education level for store shelf stockers, clerks and order fillers. Hover over a pie section to see the associated education level, or refer to the table below.
Education Level
Individuals
No certificate, diploma or degree
400
Secondary (high) school diploma or equivalency certificate
970
Apprenticeship or trades certificate or diploma
15
College, CEGEP or other non-university certificate or diploma
230
University certificate or diploma below bachelor level
35
University certificate, diploma or degree at bachelor level or above
160
Total
1,805
Data source: Statistics Canada 2016 Census of Population. Custom tabulation for population aged 15 and over who worked in 2015 and reported employment income in 2015.
Store shelf stockers, clerks and order fillers · Specialized Cleaners National occupation classification code: 6622 Specialized Cleaners clean and refurbish building exteriors, carpets, chimneys, industrial equipment, ventilation systems,…
We are collecting data to better understand who is looking for work and what kind of opportunities jobseekers are searching for. This data is completely anonymous and non-personally identifiable.