Defining and measuring the gig economy using survey data

Highlights
-
Gig work, digital platform employment, and
dependent self-employment are essential concepts to understand the evolving
nature of the gig economy. While there is notable overlap between these three
forms of work, each can also occur on their own. -
(1) Gig work is a form of employment
characterized by short-term jobs or tasks which does not guarantee steady work
and where the worker must take specific actions to stay employed. (2) Digital
platform employment refers to paid work carried out on, or through Internet
platforms or apps which exercise control over the work process. (3) Dependent
self-employment refers to self-employed workers who are operationally or
economically dependent on another person or business such as a main client, a
supplier, or an app. - From October to December 2022, an average of 871,000 Canadians aged 15 to 69 had a main job featuring characteristics that were consistent with the concept of gig work, including 624,000 who were self-employed and 247,000 who were employees. An additional 1.5 million people had completed gig work at some point during the previous 12 months.
-
Using a narrow definition of digital platform
employment – working through Internet platforms or apps which pay workers
directly – 468,000 Canadians had completed digital platform employment in the 12
months ending in December 2023. -
From July to September 2022, an average of
588,000 people were self-employed without employees in their main job and relied
on a single business relationship where the other party exercised a large
extent of control over a key dimension of their work, such as their schedule,
the organization of their work, their prices, or the supply of tools or
materials.
Introduction
In recent years, the concepts of “gig work”
and the “gig economy” have been used to describe paid activities that involve very
short-term tasks or jobs with no guarantee of future work. According to the Organisation
for Economic Cooperation and Development (OECD), the gig economy and the
sharing economy are related phenomena associated with the development of
digital platforms which “facilitate transactions that occur outside of
traditional business structures by individual […] sellers of goods and services
to consumers” (OECD, 2019, p. 15).
However, the term “gig” first appeared in
the world of live jazz performance and is still used to refer to an arrangement
where musicians are paid for a single performance, with no guarantee of future
employment.Note
While gig work is not a new phenomenon (Stanford, 2017), digital platforms have
become relatively common in some sectors of economic activity, such as food
delivery, personal transport and tutoring and have made it easier for Canadians
to engage in gig work.
Part of the statistical measurement of gig
work and digital platform employment involves counting how many people engage
in these forms of employment. Yet to fully understand the changes occurring
within the labour market, it is also important to examine the type of
arrangements or contracts through which workers are employed. Indeed, since
many gig and digital platform workers are paid as self-employed workers rather
than employees, they are often not covered by social insurance programs such as
sick leave, Employment Insurance (EI) and workers’ compensation through that activity.
In Canada, provincial and federal labour and
tax laws can include provisions and benefits for workers who start their own
businesses. However, gig and digital platform workers may lack access to the
full benefits associated with being self-employed, such as the freedom to hire
employees, choose their work hours, or set their own prices. This is because
platform operators and other businesses who hire gig workers may establish
terms of service and other rules which limit the freedom of workers to complete
their work as they see fit. As such, some gig workers may be in situations of
dependent self-employment: lacking the full advantages of being self-employed
while also being more vulnerable to economic downturns or unexpected life
events compared with employees.
This report aims to
improve the statistical measurement of the gig economy by defining the three
core concepts of gig work, digital platform employment and dependent
self-employment. Further, the article provides estimates of the three phenomena
based on data collected through supplements to the Labour Force Survey (LFS) in
2022 and 2023. All estimates provided in the article are associated with a
margin of error.
Gig work: paid jobs or tasks with little permanence and
stability
The term gig work has been used in
different ways by researchers, policymakers and in day-to-day life (Labour Market
Information Council (LMIC), 2021), leading to various interpretations of its
meaning. To help guide data collection in this context, national statistical
agencies associated with the Conference of European Statisticians – the
statistical body of the United Nations Economic Commission for Europe (UNECE) –
reached consensus on a general definition in 2022. The definition is broad
enough to cover a range of situations which may appear in slightly different
forms in different countries. Further, it includes work performed either with,
or without, the assistance of a digital platform. For example, a freelance
translator who is paid through a digital platform that matches them with
clients is considered a gig worker, just as much as a freelance translator who
finds clients by word-of-mouth.
- “Are people who accept short-term tasks, projects, or jobs
-
Are paid per unit of work deliveredNote - Have no assurance of steady employment and must make specific
efforts on their own to obtain each task, project, or job” (UNECE, 2022, p.
62-63)
According to the definition, found in the
UNECE Handbook on Forms of Employment, gig workers:
In the Canadian context, elements 1) and 3)
are retained to operationalize the definition. As such, gig work is defined as
paid work done on the basis of short-term tasks,
projects, or jobs, which does not guarantee ongoing work, and where there is a
need for the worker to play an active role in obtaining their next task, job or
client. A broad interpretation of point 2) is taken to simply exclude employees
who are guaranteed a regular wage or salary.Note
Defining digital platform employment
While digitalization and digital platforms
play a growing role in the economy and the labour market, not all digital
platforms are associated with digital platform employment. In a broad
sense, digital platforms describe a range of electronic tools and applications
which connect the producers of goods or services with potential buyers or users
(OECD–EU-ILO, 2023, p. 40). According to a classification developed by the International
Labour Organization (ILO), there are four main types of digital platforms (see
ILO, 2021, p. 40):
- those which provide
services to individual users (e.g., social media, crowdfunding platforms,
videoconferencing tools) - those which facilitate
exchanges (e.g., retail platforms, business-to-business exchanges) - those which mediate
work (e.g., food delivery apps, microtask platforms) - hybrid platforms
which combine elements of the first three
All four types of
digital platforms are potentially relevant to the labour market and employment.
For example, businesses who own and operate a digital platform may hire
employees such as programmers or accountants to manage the business. Many
companies and organisations also use videoconferencing software and social media
as part of their activities. However, the term digital platform employment refers
more specifically to a situation where the digital platform mediates the
exchange of work or labour between a service provider or a seller, and a
client. According to the consensus definition developed by the Organization for
Economic Cooperation and Development (OECD), the European Union (EU) and the
ILO, digital platform employment refers to:
(1) “The activities associated with producing goods or services completed
through or on a digital platform, when:
(2) The digital platform or app controls and/or organizes essential
aspects of the work, such as controlling access to clients or facilitating the
payment” (see OECD–EU–ILO, 2023, p. 45).
Based on this definition, the managers and employees
of companies who operate digital platforms are excluded since their work is not
conducted through the platform. In addition, many platforms providing services
to individual users, such as videoconference software or payment platforms, are
also excluded as they do not control how the user does their work or interacts
with clients. For example, a tutor who uses videoconference software to teach
students, but advertises their services through their own website, bills the
clients directly, and handles the payment themselves would not be counted as
performing digital platform employment. In contrast, websites or apps which
facilitate the match between workers and clients and handle the payment process
are covered under the OECD–EU–ILO definition. Other types of platforms such as
video-hosting websites or online marketplaces for selling goods may be in scope
if the platform enforces performance standards, sets prices, or controls other
essential aspects of the work done through the platform.
Defining dependent self-employment
In Canada and across most of the world, both the tax system and
official statistics classify self-employed workers into two broad groups: those who
operate an incorporated business and pay themselves a salary or dividends, and
those who operate an unincorporated business. Self-employed workers are also
typically divided into those who are employers and those who are self-employed
without employees.
While these two characteristics describe essential
differences among self-employed workers, notable variations in self-employment also
exist in terms of the degree of control the self-employed person has over business
decisions or their methods of work. For example, a self-employed worker may
work as a consultant for another company and may be required to fulfill certain
conditions as part of that contract, such as being available during specified hours,
or following certain protocols when interacting with clients.
When a self-employed worker depends on
another business or person for a large part of their commercial activity and when
that second business or person controls key elements of their work, the
self-employed worker may be in a situation of dependent self-employment. Workers
in dependent self-employment have a different relationship to their own
business compared with other self-employed workers due to a more limited
capacity to invest, make decisions, or control when and how they work. In this
sense, self-employed workers who are dependent on a single client, a supplier,
or a digital platform share several characteristics with employees. At the same
time, workers in dependent self-employment often lack some or all of the protections
granted to employees under employment standards legislation, as well as regulations
pertaining to the workers’ compensation system, paid sick leave and minimum
wages.Note
While some self-employed workers are covered by EI benefitsNote or make
voluntary contributions to the EI program, in most cases companies who hire
contractors are not required to make EI contributions on their behalf.
The growth of digital platform employment
has brought renewed focus on dependence among self-employed workers. The level
of control exercised by platforms is of specific interest, as workers are often
dependent on the platform to obtain clients. However, important variations
across platforms exist, ranging from minimal control by the platform to
situations where the platform sets prices, requires specific behaviours and
standards, and pursues disciplinary action (see Eurofound, 2016). Dependent
self-employment can also emerge in other types of economic relationships, such
as self-employed workers who are contracted to work for a single company or who
rely on a single supplier to operate their business.
To fully capture dependence among self-employed workers and to better understand the relationship between dependence and the emergence of digital platforms, the ILO has updated its statistical standard on the measurement of self-employment and paid employment by introducing the new category of “dependent contractors”. This has resulted in a reorganization of the International Classification of Status in Employment (ICSE) – the statistical standard which serves as the basis for the statistical measurement of work relationships.
Some workers who are classified as
self-employed workers without employees (own-account workers) under the old
standard would fall under the dependent contractor category based on the new
standard. According to the ILO (2020), the main elements to consider when
classifying self-employed workers as either dependent contractors or
own-account workers concern whether the worker has a critical business
relationship with a single client, supplier, platform or other entity, and if
this relationship involves “economic dependence” (where the other party controls
prices, access to tools or materials, etc.) or “organizational dependence” (where
the other party determines work hours, work methods etc.).
In the present article, the concept of
dependent self-employment is used as a broader concept to understand the ways
in which self-employed workers may be dependent on other businesses or
persons. In collaboration with international and Canadian partners, further
work will be pursued to move from measuring dependent self-employment to
measuring the more specific category of dependent contractors.
Description for Figure 1
The image represents the change in the main categories of the International Classification of Status in Employment (ICSE) from the ICSE-93 to the ICSE-18 standard.
On the left there are three vertically aligned boxes representing the categories of ICSE-93. Under the heading “Self-employed”, there are two boxes. The first represents the category of employers, and the second box, located below the first, represents own-account workers. Immediately below, the heading “Paid employment” appears. A box appearing below the heading represents employees.
On the right there are four vertically aligned boxes, representing the categories of ICSE-18. Under the heading “Independent workers”, there are two boxes. The first represents the category of employers, and the second box, located below the first, represents independent workers without employees. Immediately below, the heading “Dependent workers” appears. The first box below the heading represents dependent contractors, and the second box, located below the first, represents employees.
An arrow, which starts from the box for own-account workers on the left, branches out to point to the boxes representing independent workers without employees and dependent contractors on the right. This shows that in ICSE-18, the older category of own-account workers is now split between independent workers without employees and dependent contractors.
Aligning the measurement of gig work, digital platforms
and dependent self-employment
While there is overlap between the three
phenomena of gig work, digital platform employment and dependent
self-employment, each can also occur on their own. Gig work is a broader
concept that covers work based on short-term tasks or jobs that may or may not be
conducted on or through a digital platform. Dependence among self-employed
workers may also emerge as part of business relationships that do not involve
platforms (e.g., dependence on a main client). Further, dependent
self-employment may involve short-term, unsteady work, but could also occur in
the context of a long-term business relationship. Finally, while work carried
out through digital platforms often features short-term tasks or jobs with no
guarantee of steady work, some workers may be able to secure relatively long
contracts through platforms.
The development of data on the gig economy
therefore requires a data collection strategy that can be used to produce
distinct estimates for gig work, digital platform employment and dependent
self-employment. The remainder of the paper describes a method to produce
estimates for each component using data from supplements to the LFS.
Description for Figure 2
The image is a Venn diagram composed of three intersecting circles, which represents the overlap between three concepts:
The top left circle represents gig work.
The top right circle represents digital platform employment.
The lower circle represents dependent self-employment.
The top right circle representing digital platform employment is almost fully contained within the top left circle representing gig work to show that most digital platform employment is also gig work. The circle representing gig work is larger, to show that many types of gig work are not digital platform employment. The lower circle representing dependent self-employment only partially overlaps with the other two circles.
Measuring gig work, digital platform employment and
dependent self-employment
Measuring gig work
In the fall of 2022, a supplement on gig
work was collected as part of the Labour Market and Socio-economic Indicators
program (LMSI) – Statistics Canada’s program of supplements to the LFS. The
data collection and survey design strategy started from the premise that gig
workers could be either employees or self-employed workers. While the nature of
gig work may differ if it is experienced as an employee (for example, due to
minimum wage legislation and other labour regulations), the core features of
gig work — the short-term nature of the task or contract for which the worker
is remunerated, the lack of permanence, and the need to take specific action to
obtain the next job, task or shift — are all circumstances that can be
potentially experienced by employees.
In the following sections, estimates of gig
work are provided for three groups: people who are self-employed gig workers in
their main job, people who are gig employees in their main job, and people who
engage in gig work as a secondary activity – regardless of their status as an
employee or a self-employed worker.
Unless otherwise stated, the analysis
refers to the population aged 15 to 69 living in the provinces and reflects the
average for the months of October, November and December 2022.
Gig self-employment as a main job
Due to variations in the way that Canadians may understand the concept of “gig work”, the fall 2022 LFS supplement did not directly ask self-employed workers if they engaged in gig work as a main job or business. Instead, several survey questions were asked which could help identify workers in situations that were consistent with the UNECE’s definition.
The first component of the UNECE’s
definition refers to work consisting of short-term tasks, projects or jobs. In
the 2022 fall LFS supplement this was identified based on a range of variables
measuring the level of engagement or investment that self-employed workers had
in relation to their own business:
- Not
having employees - Not
owning or leasing premises dedicated to the business - Not
having business partners - Having
an unincorporated business - Lacking contracts of 3 months or longer
with formal organizations such as businesses, government agencies, and
non-profits - Usually
working less than 15 hours per week
The other component of gig work described
by the UNECE’s definition is the lack of assurance of steady employment and the
need to consistently look for new clients. This situation could reflect a
voluntary decision to operate a business on an intermittent basis, or a
scenario where a self-employed worker struggles to find clients and expand
their business. As such, the indicators considered for this dimension were
selected to capture both situations:
- Having
a business that operates less frequently - Not
easy to find clients in normal timesNote - Having few recurring clients or not being
able to operate the business based on existing clients alone - Having
had days with no clients or work despite wanting to workNote
In order to identify self-employed workers who
were in situations corresponding to the concept of gig work, a statistical
technique called Latent Class Analysis (LCA) was applied to the data. LCA is a useful analytical approach to identify groups of
individuals who share similar characteristics. LCA can estimate the number of
groups which best describe the data, estimate the size of each group, and help
identify its most important features.Note
One characteristic of LCA is that it expresses the classification of cases in
terms of probabilities and does not force each case to fall in a specific
class.
Overall, the results of the LCA reveal that
self-employed workers are best classified into five groups, and that two of the
groups identified have characteristics consistent with the UNECE’s
definition of gig work.Note
Based on their characteristics, the two groups can be best described as “lower-engagement
gig workers” and “vulnerable sole proprietors”. Both groups were largely
composed of self-employed workers with no employees and no business partners who
had a low probability of owning or leasing premises dedicated to their
commercial activity. A unique feature of lower-engagement gig workers was a
higher probability of working less than 15 hours per week (55.0%) or from
15 to less than 30 hours per week (44.8%). Compared with the average for all
self-employed workers (3.0%), lower-engagement gig workers were also more
likely to indicate that they operated their business intermittently (13.2%).
In contrast, “vulnerable sole proprietors”
were much more likely to work more than 30 hours per week (76.5% probability),
but had several features which indicated that they were experiencing challenges
maintaining a stable flow of clients, tasks, or jobs. Workers in this group
were almost guaranteed (99.8%) to have had days with no work or clients over
the previous 12 months, were more likely than not to lack a stable client base
(64.8% probability) and had an above-average probability of not finding it
easy to obtain clients in normal times (24.4% probability compared with 13.1%
for all self-employed).
Salient indicators that defined both groups in LCA can in turn be used to develop a measure of gig work that reflects the UNECE’s definition. Using specific statistical criteria rather than levels of probability also makes it easier to track the number of self-employed gig workers over time. As noted above, both groups of gig workers had several characteristics in common (no business partners, employees, or dedicated premises), and these features were retained as measurement criteria. However, the two groups had a distinct level of engagement with their business in terms of the hours they usually dedicated to it, and additional criteria had to be introduced to identify both types of gig work.
For lower engagement gig workers, the
characteristics selected to define the group were either: usually working very
short hours per week (less than 15 hours per week) or having an intermittent business.
For vulnerable sole proprietors, a broader criteria was adopted to include more self-employed workers whose employment characteristics were consistent with the concept of gig work. As such, the approach taken was to include self-employed workers who lacked a stable client base.
Based on these criteria, from October to December 2022 an average of 91,000 self-employed workers were lower-engagement gig workers in their main job, 449,000 were vulnerable sole proprietors and 84,000 were in both categories. Together, these 624,000 workers accounted for 26.5% of those who were self-employed in their main job.
Measured in this way, gig work includes self-employed workers who experienced days of no work despite wanting to work (54.6%) or who do not find it is easy to obtain clients (17.7%), as well as gig workers who did not face either of these challenges (40.5%).
Criteria to measure two types of self-employed gig work as a main job
- “Lower engagement gig workers” do not have employees, partners, or a dedicated building or space and either:
- Usually work very short hours (less than 15 hours per week) or
- Have a business which operates intermittently.
- Lack a stable client base on which they could rely for the next five years
Previously, researchers at Statistics
Canada have relied on tax data to develop estimates of the gig economy. Notably,
Jeon et al. (2019) proposed an operational definition of gig work grounded in
categories found within the Canadian tax system. Jeon et al. (2019) define gig
workers as unincorporated self-employed workers who declare fishing, farming,
professional, business or commission income, and do not have business partners
or a business number.
While there are good reasons to assume that
self-employed workers with these characteristics are in less stable or
predictable self-employment,Note
survey data can provide more information on the specific circumstances of workers.
Indeed, the results of the latent class analysis show that gig workers can be self-employed workers who spend only a small number of hours working at their business, or self-employed persons who do not have a stable client base. However, both tax and survey data point to the lack of business partners and the absence of employees as central components of gig work.
Employees who are gig workers in their main job
The concepts of temporary and permanent employment
provide a clearer starting point to identify gig workers among employees.
Permanent employees are, by definition, not gig workers as they have an
arrangement with an employer that guarantees steady work (ILO, 2018). However, not
all temporary employees are gig workers. Indeed, some temporary employees have
relatively long contracts and have little need to take action to stay employed
in the short term. The ILO, for example, establishes a distinction between short-term
and casual employees – those who have contracts shorter than 3 months or a
temporary job with no guaranteed work hours – and fixed-term employees – those
who have contracts longer than 3 months.
The October, November and December LFS supplements
also collected more detailed information on the circumstances of temporary
employees. This served to establish if the temporary employee had an
arrangement where they had to take action or make specific efforts to obtain a shift, contract or job.
Three situations matched this dimension of gig work: 1) working based on
successive contracts with different employers, 2) being a day labourer, or 3) having
a casual job with an employer that allowed the worker to choose when they worked.Note Arrangements
where employees did not need to take action or make a specific effort to obtain
a shift or task were not considered to be in scope for the definition of gig
work – even if that arrangement did not guarantee stable employment.
Criteria to measure gig employees
To be counted as gig employees, workers must be temporary employees and meet both of the following criteria:
- Component of the UNECE definition: People who accept short-term tasks, projects or jobs.
- Measurement criteria:
- Employees with a temporary contract shorter than three months OR
- Employees who have a temporary job with no guaranteed hours.
- Component of the UNECE definition: Have no assurance of steady employment and must make specific efforts on their own to obtain each task, project, or job.
- Measurement criteria:
- Temporary employees who work based on successive contracts with different employers;
- Day labourers;
- Employees with a casual job who can choose when they work.
Combining the ILO’s definition of
short-term and casual contracts with situations where an employee had to take a
specific action or make an effort to obtain each task or shift showed that in October,
November, and December of 2022, an average of 247,000 employees (1.5%) had
characteristics that were close to the UNECE’s definition of gig work.
In this sense, gig work does not capture all
employees who experience short-term or less stable employment. Indeed, on
average, in October, November, and December 2022, a further 532,000 temporary
employees were in short-term or casual employment, 652,000 had a temporary
contract lasting more than 3 months, and 1.9 million employees had a permanent
job, but were not guaranteed a minimum number of work hours every pay period.
Gig work as a secondary activity
In addition to workers who engage in gig
work as a main job, some Canadians may complete short-term jobs or tasks as a
secondary activity. This type of gig work can supplement income and form part
of the supply of labour within a country (Kostyshyna and Luu, 2019). However,
it does not necessarily consist of a “job” or “employment” according to the
ILO’s definition of these concepts. Every month, the LFS follows ILO guidelines
by measuring employment with reference to a specific “reference week”. Respondents
are asked if they worked at a job or business for at least 1h, or were absent,
but maintained attachment to a job or business during that week. Because gig
work may be done very sporadically, all instances of gig work may not be
captured by this measurement strategy.
The fall LFS supplement asked respondents to indicate if they had completed freelancing, paid gigs or short-term jobs or tasks during the previous 12 months. The only restriction was to exclude income that was not associated with the provision of a service or the sale of a product (e.g., trading stocks online). According to these results, 1.5 million Canadians aged 15 to 69 had completed a short-term gig, job, or contract in the last 12 months in addition to their current main job. Combined with workers who were gig workers in their main job, this suggests that 2.4 million people or 8.9% of the population 15 to 69 had engaged in a form of gig work in the 12 months preceding their LFS interview in October, November or December 2022.
Measuring digital platform employment
In order to measure digital platform
employment according to the OECD–EU–ILO definition presented earlier in the
article, a series of questions were added to the December 2022 and December
2023 monthly LFS supplements. These questions aimed to capture (1) the types of
activities completed through digital platforms and (2) the nature of the
digital platforms or apps used by workers.
To measure the
types of activities completed through platforms (1), the questionnaire asked
respondents to indicate whether they had carried out different types of work
through a digital platform or app over the previous 12 months in order to earn
income. The work activities listed in the questionnaire include the sale of
goods to earn income,Note
renting out accommodation, and a range of services, such as personal transport,
delivery services and teaching or tutoring (see Table 1). This approach enables
the production of estimates for specific types of activities done through
platforms, and helps distinguish between activities which mostly generate
income based on the ownership of goods or property, such as selling goods or
leasing accommodation, and those for which income is derived from the provision
of services with a relatively high labour input (e.g. delivery, data entry,
cleaning) (OECD–EU–ILO, 2023, p.51).
To measure the nature of the digital
platforms or apps used by workers (2), a series of follow-up questions were included
in the supplement. First, for all types of activities completed through digital
platforms, respondents were asked if they had been paid directly by clients, by
the platforms or in some other way. Second, for a smaller number of activities,
the December 2023 LFS supplement included additional follow-up questions to
identify the functionalities of the platforms used by workers (e.g., whether
the platform used a rating system or enforced performance standards).Note Future
iterations of the supplement will extend and streamline this latter approach to
cover all types of activities completed through platforms.
While there are debates regarding the types
of platforms that are covered by the concept of digital platform employment, a
possible distinction can be made between platforms which pay workers from those
which are not involved in the payment process (e.g., platforms which help match
workers and clients, but let the two parties arrange the payment by
themselves). This is because the involvement of the platform or app in the
payment is a relatively clear indicator that the platform has leverage over
workers and can influence the nature of the activities carried out through or
on the platform. However, some websites or apps which do not pay workers
directly still intervene in the work process by managing a user rating system,
enforcing performance standards or setting prices. Such platforms may also fall
under the OECD–EU–ILO definition of digital platform employment.
As such, it is possible to distinguish
between three different types of digital platform employment based on the
nature of the control exercised by the platform or app. Each of those types
reflect an increasingly broader definition of digital platform employment: (1) digital
platforms which pay workers directly, (2) digital platforms which exercise some
form of control over the work process and (3) digital platforms which do not
exercise control beyond offering a tool for clients and workers to connect
(e.g. online message boards, social media). While only the first two types of
digital platforms match the OECD–EU–ILO definition of digital platform employment,
measuring the last type of platform employment may be of interest for other
purposes, such as tracking workers’ use of online platforms that help them
connect with clients.
When only considering workers who were paid
by platforms or apps, results from the 2023 LFS supplement indicate that 468,000
people aged 15 to 69 (1.7% of the population) had engaged in digital platform
employment in the 12 months ending in December 2023 by providing a service, selling
or advertising goods for sale, or renting out accommodation. For 79,000 of them
(0.4% of the employed population), this was their main job or business during
the December 2023 LFS reference week. The most common types of activities done
through such apps or platforms were delivery services (245,000), personal
transport (116,000), and the sale of goods (65,000).
While an overall estimate is not yet
available for the second type of digital platform employment, the results offer
evidence that a larger number of workers use platforms which exercise a
coordination or control function, without necessarily paying workers directly.
For example, among people who had provided tutoring, teaching, or training
through an app or platform in 2023, 5,500Note
people indicated they had been paid by the platform, and an additional 10,800
workers reported using a platform that had a coordination or control function.
Similarly, among people who created content such as blogs, videos, or podcasts
through a digital platform, 15,600 were paid by the platform, and a further 14,700
had used a digital platform which exercised at least one form of control over
the work process.
Finally, based on the broadest definition
of digital platform employment – including the platforms which pay workers,
those which have a control or coordination function, and those which simply connect
workers with clients – 927,000 Canadians (3.3% of the population) had completed
digital platform employment during the 12 months ending in December 2023, and
135,000 of them (0.7% of the employed population) reported this was their main
job or business. Most of the difference between the broader and the more
restricted estimate is attributable to the sale of goods for income, with 242,000
people indicating that they had been paid directly by clients for the goods
they had sold.
For each type of platform, the distinction
can be made between workers who sell goods or rent out property compared with
those providing a service with a larger labour input. Among the 468,000 people
who had done platform work in 2023 and were paid by the app or digital
platform, 368,000 indicated that they had provided a service and 103,000
indicated they had sold goods or leased accommodation.Note Using the broad definition of digital platform employment, 570,000
had provided a service and 381,000 had sold goods or rented out accommodation.
Used a platform which pays the worker | Used a platform and was paid directly by clients or the platform | Used a platform with at least one coordination or control function | |
---|---|---|---|
count | |||
Total, worked for income through a digital platform or app | 467,500 | 927,100 | N/A |
Personal transportTable 1: Types of digital platform employment and functionalities of platforms, 12 months ending in December 2023 Note 1 |
115,800 | 135,200 | 135,200 |
DeliveryTable 1: Types of digital platform employment and functionalities of platforms, 12 months ending in December 2023 Note 1 |
245,200 | 277,600 | 277,600 |
Selling goods to earn incomeTable 1: Types of digital platform employment and functionalities of platforms, 12 months ending in December 2023 Note 2 |
65,100 | 306,800 | 129,000 |
Cleaning, or handiwork such as assembling furniture or yard work | Note F: too unreliable to be published | 28,300Note E: Use with caution | Note …: not applicable |
Pet or house sitting | Note F: too unreliable to be published | 16,500Note E: Use with caution | Note …: not applicable |
Child or elderly care | Note F: too unreliable to be published | 10,700Note E: Use with caution | Note …: not applicable |
Medical, mental health or other health care services | Note F: too unreliable to be published | 19,500Note E: Use with caution | 12,800Note E: Use with caution |
Tutoring, teaching or training | 5,500Note E: Use with caution | 32,700Note E: Use with caution | 16,300Note E: Use with caution |
Programming, coding, data analysis, video editing, web or graphic design | Note F: too unreliable to be published | 43,000Note E: Use with caution | Note …: not applicable |
Text editing, proofreading, translation, data or text entry, transcription | Note F: too unreliable to be published | 13,600Note E: Use with caution | Note …: not applicable |
Tagging or rating pictures or videos | Note F: too unreliable to be published | 6,300Note E: Use with caution | Note …: not applicable |
Creating content such as videos, blogs or podcasts | 15,600Note E: Use with caution | 42,000 | 30,200Note E: Use with caution |
Professional services, such as law, accounting, marketing | 12,800Note E: Use with caution | 66,800 | 46,400Note E: Use with caution |
Renting out a room, a house, or any accommodation | 37,800Note E: Use with caution | 82,900 | Note …: not applicable |
Other | 13,400Note E: Use with caution | 32,800Note E: Use with caution | Note …: not applicable |
Measuring dependent self-employment
The final core component of the gig economy
– dependent self-employment – was measured as part of the LFS supplement collected
from July to September 2022. Estimates represent the average of those three
months for the population aged 15 to 69.
A key element to note is that self-employed
workers with employees are not covered by the concept of dependent
self-employment. The ILO excludes this group from the category of dependent
contractors (ILO, 2018) and the ability to hire employees is a strong indicator
that a self-employed person maintains a relatively high degree of operational
control over their business activities. The survey, therefore, focused on
self-employed workers without employees – also known as own-account workers – and
measured dependent self-employment in two stages. First, the questionnaire established
whether or not self-employed workers without employees depended on another
business or person, such as a main client, a supplier, a website or app, or a broker
for at least 50% of their commercial activity. Then, among those who did, a
series of questions were asked about the nature of this relationship. This was
done to determine if the business or person on which the self-employed worker
relied exercised control over key aspects of their work, such as their prices, their
working time, or the supply of tools or materials.
Nearly 6 in 10 own-account workers rely heavily on a
single business relationship
According to data from the LFS supplement,
on average there were 1.8 million workers who were self-employed without
employees in their main job from July to September 2022. Among them, over half
(57.7%) or 1.0 million were dependent on a single business relationship for at
least 50% of their commercial activity. The most common types of relationships
on which own-account workers were dependent included having a single main
client (42.2%) and being subcontracted tasks or projects by another person or
business (23.2%).
Count | Percentage | |
---|---|---|
Total | 1,011,500 | 100.0 |
A single client | 427,100 | 42.2 |
Another company or person subcontracting tasks, projects or clients | 234,800 | 23.2 |
An agency, broker or other type of intermediary | 145,400 | 14.4 |
A website or app that matches the business with clients or potential clients | 142,900 | 14.1 |
A single supplier | 61,400Note E: Use with caution | 6.1 |
Distinct patterns of dependence
Not all own-account workers who rely on a
single business relationship are in a situation of dependent self-employment. According
to the ILO (2020), there are two main ways in which dependence can emerge among
self-employed workers. The first is operational dependence, which refers to a
situation where the client, the website or platform, or the other entity on
which the self-employed worker relies, controls how the self-employed person
organizes their work. This can occur in different ways, such as the enforcement
of a particular schedule or work hours as well as rules or guidelines on how work
activities should be performed. The second type is economic dependence, which
refers to situations where the dominant party in a business relationship
directly controls prices, the provision of tools or materials essential for the
business, or access to the market.
To better understand the dimensions of
dependent self-employment in the Canadian context, a statistical technique
called exploratory factor analysis (EFA) was applied to the data.Note EFA is a
technique that can identify salient statistical relationships in a set of
variables. The analysis focused on situations where another business or person
exercised a large extent of control over a particular facet of the
self-employed person’s work activity. Overall, the analysis showed that there
are common patterns or dimensions in the way that own-account workers may lack
control over key aspects or their work as part of critical business
relationships:
-
The first pattern showed that when another
business or person exercises a large extent of control over the work hours of an
own-account worker, this often occurs alongside control over the organization
of their work tasks. To a lesser extent, control over the price of the product
or service was also associated with this dimension. -
The second pattern relates to economic dependence
and highlights how dependence on another business or person for the provision of
tools or software often coexists with dependence on that entity to obtain work
materials. -
There was also some evidence – albeit weaker – of
a third pattern, showing that a lack of control over prices and the inability
to hire outside help tended to occur together.
These three patterns suggest that some own-account
workers are affected by one, or a combination of: 1) a lack of control over the
organization of their work or schedule 2) dependence on another business or person
to obtain the tools or materials required for their work or 3) a lack of
control over the ability to make key economic decisions such as hiring outside
help or setting prices.
From July to September 2022, an average of 331,000
self-employed workers without employes were in a situation where a business or
person on which they were dependent for their commercial activity directly
controlled their schedule or their methods of work. In addition, for 313,000
own-account workers, a supplier, a main client, a website or app, or another
entity exercised a large extent of control over the provision of tools or materials
required to do their job, and 397,000 of them had limited control over prices
or were not allowed to hire outside help as part of their business arrangement.
For some, there was overlap between the different types of dependence with
143,000 own-account workers indicating that they experienced all three forms.
Overall, 588,000 self-employed workers, accounting for 33.5% of own-account
workers, experienced at least one of the three forms of dependence.
The prevalence of a particular type of
control varied somewhat according to the nature of the business relationship on
which own-account workers relied. While 30 to 40% of own-account workers who
were reliant on a main client (39.7%), a website or app (31.3%) or another
company or person subcontracting tasks or jobs (35.6%) indicated that the other
entity directly controlled the organization of their work or schedule, this
proportion was only 13.8% for those dependent on an agency, broker or other
type of intermediary. As expected, those dependent on a single supplier were
most likely to indicate that this supplier exercised a large extent of control over
the provision of tools or material essential to run the business (50.0%),
compared with 30.0% among own-account workers dependent on a single client and
33.4% for those reliant on a website or app. Finally, own-account workers
reliant on a website or app were more likely to indicate that they were subjected
to a large extent of control over prices or lacked the ability to hire
employees (45.8%), compared with those reliant on other types of business
relationships (38.1%).
Conclusion
The gig economy has generated both risks
and opportunities for workers in Canada. On one hand, new technologies have made
it easier for Canadians to engage in short paid tasks, projects or jobs that can
supplement income and are sometimes pursued as a main activity. On the other
hand, business relationships that emerge in the context of the gig economy may generate
situations of “dependent self-employment”: a type of work relationship where workers
are self-employed but lack control over important aspects of their work, such
as setting prices or organizing their schedule.
These new developments have created a need
to improve understanding and measurement of three interrelated phenomena. The
first – gig work – is a form of employment characterized by short-term jobs
or tasks which does not guarantee steady work and where the worker must take
specific actions to stay employed. The second is digital platform employment, which
refers to employment carried out on or through Internet platforms or apps which
exercise some control over the work process, and the third is the measurement of
dependent self-employment more generally. While there is notable overlap
between these three forms of work, each can also occur on their own.
In 2022 and 2023, Statistics Canada collected
LFS supplements to collect information on gig work, digital platform
employment, and dependent self-employment. In this report, methods to measure
all three forms of work were proposed. Looking ahead, Statistics Canada will
continue to build on and refine its data collection and analytical strategies.
Data collection through surveys will
continue to play an important role. Surveys help produce timely data that can
be used to track the scale of the gig economy over time and align measurement strategies
with the latest international statistical standards. Information from surveys will
be complemented with the ongoing use of tax data, which can provide a
comprehensive picture of the ways in which Canadians earn income and contribute
to the economy.
Sources
Dalzell, T. & T., Victor. (Eds.)
(2015). The New Partridge Dictionary of Slang and Unconventional English
(2nd edition). Routledge, London.
Eurofound. (2018). Employment
and working conditions of selected types of platform work, Publications
Office of the European Union, Luxembourg.
Eurofound. (2019). Platform
work: Maximising the potential while safeguarding standards? Publications
Office of the European Union, Luxembourg.
ILO. (2018). Resolution
concerning statistics on work relationships. Adopted by the 20th
International Conference of Labour Statisticians, Geneva, 10–19 October 2018.
ILO. (2020). Update: Conceptual
Framework for Statistics on Work Relationships. International Labour
Office, Geneva.
ILO. (2021). World Employment and
Social Outlook: The role of digital labour platforms in transforming the world
of work. International Labour Office, Geneva.
Jeon, S.-H., H. Liu,
and Y. Ostrovsky. (2019). “Measuring the Gig Economy in Canada using
Administrative Data”. Analytical Studies Branch Research Paper No. 437.
Statistics Canada, Ottawa.
Kostyshyna,
O. and C. Luu. (2019). “The Size and Characteristics of Informal (“Gig”) Work
in Canada”. Bank of Canada Staff Analytical Note 2019-6, Bank of Canada,
Ottawa.
Labour Market Information Council.
(2021). “Making Sense of Gig Work”. LMI Insight Report no. 45. Labour
Market Information Council, Ottawa.
LCA Stata Plugin (Version 1.2)
[Software], (2015). University Park: The Methodology Center, Penn State.
OECD. (2019). The
Sharing and Gig Economy: Effective Taxation of Platform Sellers: Forum on Tax
Administration. OECD Publishing, Paris.
OECD/ILO/European Union. (2023). Handbook
on Measuring Digital Platform Employment and Work, OECD Publishing, Paris.
Stanford, J. (2017). “The resurgence
of gig work: Historical and theoretical perspectives”. The Economic and
Labour Relations Review, Vol. 28, No. 3, pp. 382-401.
UNECE. (2022). Handbook on Forms
of Employment, prepared by the Task Force on Measuring Forms of Employment.
United Nations, New York & Geneva.
Weller, B. E., Bowen, N. K. & S. J. Faubert.
(2020). “Latent class analysis: A guide to best practice”. Journal of Black
Psychology, Vol. 46, No. 4, pp. 287-311.
Appendix
1 class | 2 classes | 3 classes | 4 classes | 5 classes | 6 classes | |
---|---|---|---|---|---|---|
estimator | ||||||
AIC | 4786.84 | 2824.88 | 2612.47 | 2518.86 | 2402.31 | 2349.83 |
BIC | 4877.26 | 3011.75 | 2895.79 | 2898.64 | 2878.54 | 2922.50 |
CAIC | 4892.26 | 3042.75 | 2942.79 | 2961.64 | 2957.54 | 3017.50 |
Adjusted BIC | 4829.6 | 2913.25 | 2746.46 | 2698.46 | 2627.52 | 2620.65 |
Entropy R-sqd | 1.00 | 0.72 | 0.60 | 0.59 | 0.81 | 0.82 |
Class 1Item-response probabilities by class – 5 class model Note 1 | Class 2Item-response probabilities by class – 5 class model Note 2 | Class 3 | Class 4 | Class 5 | |
---|---|---|---|---|---|
percentage | |||||
Employees | |||||
Does not have employees | 100.0 | 91.2 | 92.0 | 100.0 | 0.1 |
Has employees | 0.0 | 8.8 | 8.0 | 0.0 | 99.9 |
Dedicated business premises | |||||
Has dedicated business premises | 11.2 | 20.8 | 18.5 | 45.4 | 70.7 |
Does not have dedicated business premises | 88.8 | 79.2 | 81.5 | 54.6 | 29.3 |
Business partners | |||||
Has partners | 1.8 | 8.9 | 0.0 | 99.9 | 54.6 |
Does not have business partners | 98.2 | 91.1 | 100.0 | 0.1 | 45.4 |
Contracts longer than 3 months | |||||
Has contracts longer than 3 months | 21.5 | 8.7 | 18.8 | 15.8 | 23.6 |
Does not have contracts longer than 3 months | 78.5 | 91.3 | 81.2 | 84.2 | 76.4 |
Clients | |||||
Business has not had any clients yet | 6.2 | 7.9 | 4.6 | 4.1 | 1.2 |
Business mostly based on getting new clients | 6.7 | 18.2 | 11.3 | 5.5 | 8.4 |
Has recurring clients, but cannot sustain business on their own | 27.8 | 38.7 | 19.6 | 13.4 | 18.4 |
Could operate business based on existing or returning clients | 59.4 | 35.2 | 64.6 | 76.9 | 72.0 |
Incorporation status | |||||
Incorporated | 8.4 | 38.9 | 33.0 | 62.8 | 87.1 |
Unincorporated | 91.6 | 61.1 | 67.0 | 37.2 | 12.9 |
Ease of getting clients | |||||
Disagree that it is easy to get clients | 17.2 | 24.4 | 7.2 | 10.8 | 11.6 |
Agree or neutral that it is easy to get clients | 82.8 | 75.6 | 92.8 | 89.2 | 88.4 |
Work hours per week | |||||
Usually works less than 15 hours per week | 55.0 | 4.0 | 1.1 | 10.2 | 1.4 |
Works from 15 to less than 30h per week | 44.8 | 19.4 | 12.5 | 16.5 | 4.0 |
Works more than 30h per week | 0.2 | 76.5 | 86.4 | 73.3 | 94.6 |
Period of operation | |||||
Operates all year round | 71.2 | 75.3 | 90.9 | 89.1 | 94.3 |
Operates during most of the year | 12.4 | 14.7 | 5.7 | 4.3 | 4.2 |
During a specific season | 3.2 | 5.7 | 2.3 | 5.3 | 1.2 |
Intermittently | 13.2 | 4.3 | 1.2 | 1.2 | 0.3 |
Days with no work or no clients | |||||
Had days with no work or no clients | 56.1 | 99.8 | 16.2 | 19.2 | 18.0 |
Did not have days with no work or no clients | 43.9 | 0.2 | 83.8 | 80.8 | 82.0 |
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