Digital Skills in Northern Ireland
All tables associated with this report can be downloaded from the NISRA website.
This paper examines the level of digital skills of people aged 16 and over in Northern Ireland for the period April 2023 to March 2024 (referred to as 2023/24), as sourced from the Continuous Household Survey (CHS). Additional analysis of digital skills levels is also provided for sex, age, labour market status, and deprivation quintile (least and most deprived).
This paper presents the level of advanced digital skills held by
people aged 16 or over in NI and is based on data collected from the
Continuous Household Survey (CHS) from April 2023 to March 2024.
Respondents to the CHS were asked whether they had used the
internet in the last twelve months to access or perform a list of
functions.
These functions were collated to form four digital use
sub-groups:
A measure of the level of digital skills of respondents i.e. no
skills, novice skills, intermediate skills or advanced skills, was
derived using the five digital use sub-groups, as detailed throughout
the publication.
Three of the digital use sub-groups above are broadly in line with
several of the digital
competence domains captured within the Eurostat
Digital Skills Indicator (sourced from the ‘community survey on ICT
usage by households and individuals’). In addition a ‘safety’ sub-group
has been included for the NI data based on those within the ‘being safe
and legal online’ aspect of the Essential
Digital Skills Framework.
This section provides an overview of the level of digital skills held for Northern Ireland (NI) as a whole, alongside further analysis by sex, age, labour market status, and deprivation quintile (least and most deprived).
The analysis contained in this section is based on the following definitions, where the sub-groups are finding information online, communicating online, use of online services, content creation, and using the internet safely and securely. (See 4.3 for more detail):
No Skills: not having
accessed or performed any of the listed online functions.
Novice Skills: having
used the internet for at least one and up to five of the listed
functions in finding information online, communicating online, using
online services, content creation or understanding internet safety
features.
Intermediate
Skills: having used the internet for more than five and
up to ten ten of the listed functions across all sub-groups
(communicating online, finding information, using online services and
understanding internet safety features).
Advanced Skills: having
used the internet for more than ten of the fifteen listed functions
across all sub-groups (communicating online, finding information, using
online services and understanding internet safety features).
2.1 Northern Ireland
Digital skill level | Proportion of aged 16 and over (%) |
---|---|
No skills | 22.8 |
Novice skills | 28.8 |
Intermediate skills | 23.3 |
Advanced skills | 25.1 |
Figure 1 presents the digital skill level of those aged 16 and
over in NI. It shows that over one in five people had no digital skills
(23%), meaning in the last twelve months, they had not used the internet
to find information online, had not communicated online, used the
internet for online services (such as internet banking or making online
purchases), created content online or had not found and were not aware
of a range of internet safety features.
The largest proportion of respondents had a novice level of digital
skills (29%). This meant they had used the internet for more than one
and up to five of the functions such as to find information online,
communicated online, used the internet for online services (such as
internet banking or making online purchases), created content online or
had not found and were not aware of a range of internet safety features.
Similarly, one out of four respondents had an advanced level of
digital skills (25%), meaning they had accessed the internet for at
least ten of the fifteen functions.
The digital skill level in Northern Ireland differs across the various cohorts below.
2.2 Sex
2.3 Age
There were large differences in digital skill levels between those
aged under 50 and those aged 50 and over.
2.4 Labour Market Status
There were notable differences in digital skill
level between those who were economically active and those who were
economically inactive.
2.5 Deprivation quintile
Differences in digital skill levels were evident
between those who were in the least deprived areas and those in the most
deprived areas.
This section takes a closer look at what is actually driving these
levels of digital skills in NI.
Online function | Percentage (%) |
---|---|
Finding Information Online | |
Used advanced features of a search engine | 44.7 |
Verified information or content found on the internet | 45.3 |
When I face a technical problem, I am able to find solutions on the internet | 54.0 |
Communicating Online | |
Used advanced video conferencing features | 36.9 |
Created a digital profile for personal or professional purposes | 35.0 |
Filled out an online form | 39.9 |
Use of Online Services | |
Downloading or installing software or apps | 53.7 |
Transferred files between folders, devices, or on the cloud | 43.3 |
Accessed or downloaded media online | 51.3 |
Content Creation | |
Written code in a programming language | 8.1 |
Created or made changes to files integrating text, pictures, tables or charts | 32.9 |
Managed or analysed data using spreadsheet software | 33.5 |
Safely and Securely | |
Installed and/or configured protection software and services | 31.2 |
Identified a suspicious or malicious email | 50.5 |
Restricted or refused access to personal information | 36.3 |
Figure 2 shows the use of online functions over the last twelve
months, which are categorised by the five digital use sub-groups. In
addition, 23% of people aged 16 and over did not use the internet in the
last twelve months for any of these functions.
Over half of
people said they used the internet to find solutions to technical
problems (54%) or to download or install software or apps (54%). In
contrast, less than one in ten respondents (8%) reported writing code in
a programming language in the last twelve months.
The least
common digital use sub-group was content creation which included writing
code in a programming language; creating or making changes to files
integrating text, pictures, tables or charts; and managing or analysing
data using spreadsheet software. Around 40% of respondents aged 16 and
over said they used these features in the last 12 months.
3.1 Finding information
online
The most common function in the finding
information online sub-category was finding solutions to technical
problems using the internet. Over half (54%) of respondents had used the
internet this way in the last 12 months. For all cohorts examined,
finding solutions to technical problems by using the internet was the
most common usage in this sub-category.
This subgroup
highlighted some differences when comparing the age of respondents with
around 70% of those aged 16 to 24 and 25 to 34 using the internet to
find solutions to technical problems, compared to less than a quarter
(23%) of those aged 65 and over.
When considering the
employment status of respondents - under one third (31%) of those who
are economically inactive reported using the internet to find solutions
to technical problems, in comparison to over two thirds (69%) of those
who are economically active.
3.2 Communicating online
With around two-fifths (40%) of all people aged
16 and over filling out an online form, this was the most common method
of communicating online at the NI level. This was the most popular
sub-category for all cohorts for communicating online.
Use of
the internet to create a digital profile for personal or professional
purposes, showed large differences when examined by age. Six in ten
(61%) of those aged 16 to 24 created a digital profile compared to one
in ten (11%) of those aged 65 and over.
Use of advanced video
conference features showed differences when examined by deprivation
quintile. Almost half (49%) of those in the least deprived quintile used
advanced video conferencing features, compared to 24% of those in the
most deprived quintile.
3.3 Use of online services
At the NI level, downloading or installing
software apps was the most popular function under use of online services
at 54%. This varied across the different cohorts.
Accessing or
downloading media online was the most popular function of use of online
services for those aged 65 and over (24%), living in the most deprived
quintile (45%) and economically inactive (33%).
When analysing
the use of online services, large differences were observed when
comparing by age and employment status. Around 1 in 5 people (22%) aged
65 and over reported downloading or installing software or apps,
compared to over 7 in 10 people (75%) of those aged 16 to 24. Similarly,
when examining by employment status, only 20% of those who are
economically inactive had transferred files between folders, devices or
on the cloud in the last twelve months compared to 58% of those who are
economically active.
3.4 Content creation
At the NI level, less than one in ten (8%) of
respondents had written code in a programming language in the last
twelve months. This was the least used of all fifteen functions and this
trend held when examined by the different cohorts e.g. sex, age,
deprivation quintile and employment status.
The other
functions of content creation showed similar outcomes from respondents
with 34% using the internet to manage or analyse data using spread sheet
software and 33% to create or make changes to files integrating text,
pictures, tables or charts.
When analysing content creation,
large differences were observed when comparing by age and employment
status. Under 1 in 10 people (7%) aged 65 and over reported creating or
making changes to files integrating text, pictures, tables or charts;
compared to 5 in 10 people (50%) of those aged 16 to 24. Similarly, when
examining by employment status, only 13.1% of those who are economically
inactive had created or made changes to files integrating text,
pictures, tables or charts in the last twelve months compared to 45% of
those who are economically active.
3.5 Using the internet
safely and securely
At the NI level, just over
half (51%) of respondents had identified a suspicious or malicious email
over the last twelve months.
Across all cohorts, the most
commonly used safety feature was identifying a suspicious or malicious
email. However, there were differences across the various cohorts, for
example, those who are economically inactive had a lower incidence of
recognising suspicious links (33%) compared to those w who are
economically active (62%).
Installing and/or configuring
protection software or services was the least common function of
respondents (31%). This was the case across all cohorts.
A
closer look at restricting or refusing access to personal information by
age showed only 16% of those aged 65 and over had performed this
function, in comparison to those aged 16 to 24 (48%), 25 to 34 (45%) and
35 to 49 (45%).
The information presented in this publication is derived from the
Continuous Household Survey (CHS) April 2023-March 2024 (23/24), which
was conducted by the Central Survey Unit (CSU) of the Northern Ireland
Statistics and Research Agency (NISRA).
A summary of further information is contained below. However users
are advised to access the Digital
Skills Supplementary Document or the CHS
page for additional information relating to the CHS, quality and
methodology.
The questionnaire has two distinct parts: a household schedule and an
individual schedule. One person on behalf of the entire household
answers the household schedule, while all participating adults in the
household answer the individual schedule.
In a change to the previous 2 years, the questionnaire returned to
a split sample. This means that depending on the serial number of the
questionnaire (even or odd) the respondents would be exposed to a
different set of questions for part of the questionnaire. This was
implemented to reduce survey length.
The sample for the survey consisted of a systematic random sample of
addresses selected from the NISRA Address Register. The NISRA Address
Register is maintained by Census Branch and is created by merging the
POINTER database with additional records and removing duplicates and
communal establishments. The survey samples 9,000 addresses throughout
the survey year (1 April 2023 – 31 March 2024). The NISRA Address
Register provides a good sampling frame of addresses but contains no
information about the number of people living at an address.
Each interview begins with the interviewer counting all members of
the household. Anyone aged 16 or over is eligible to take part in the
survey and there can be multiple respondents at each household.
For the April 2023 to March 2024 year, 4,113 households took part
in the survey. Within those households, a total of 4,927 individuals
took part in the survey.
In order to estimate the number of people at each digital skill
level, it is necessary to gross the findings from the survey to the NI
population. The respondent data is weighted to the NI population by
local government district, age group, and sex. This ensures that the
sample is representative of the overall NI population.
The CHS is a sampling survey and therefore estimates obtained from it are subject to sampling variability. This means that if many samples were drawn, each would give a different result. Table 1 shows the sampling variability of the digital skill levels of NI respondents using 95% confidence intervals. We would expect that, in 95% of samples, the range would contain the true value.
Digital skill level | Proportion of aged 16 and over (%) | Lower limit (%) | Upper limit (%) |
---|---|---|---|
No skills | 22.8 | 21.6 | 24.0 |
Novice skills | 28.8 | 27.6 | 30.1 |
Intermediate skills | 23.3 | 22.1 | 24.5 |
Advanced skills | 25.1 | 23.9 | 26.3 |
Further detail on the representativeness of the sample, comparisons
between CHS and the Mid-Year Population Estimates, weighting and
sampling error can be found in the Digital
Skills Supplementary Document.
In a change to previous year, the questions used to derive digital skills were updated to analyse a higher level of digital skills, to capture the advanced digital user. The following questions relate to whether a respondent had used the internet in the past twelve months to access or perform a list of functions.
In the past 12 months have you used the internet for any of the
following? (Select all that apply)
Have you carried out any of the following software and safety related
activities in the last 12 months? (Select all that apply)
With the exception of ‘none’, all other responses were subsequently grouped into four different aspects of digital use (sub-groups). Table 2 below shows the 15 online functions and the sub-group they are included in.
Online function |
---|
Finding information online |
Used advanced features of a search engine |
Verified information or content found on the internet |
When I face a technical problem, I am able to find solutions on the internet |
Communicating online |
Used advanced video conferencing features |
Created a digital profile for personal or professional purposes |
Filled out an online form |
Use of online services |
Downloading or installing software or apps |
Transferred files between folders, devices, or on the cloud |
Accessed or downloaded media online |
Content creation |
Written code in a programming language |
Created or made changes to files integrating text, pictures, tables or charts |
Managed or analysed data using spreadsheet software |
Using the internet safely and securely |
Installed and/or configured protection software and services |
Identified a suspicious or malicious email |
Restricted or refused access to personal information |
Below are the definitions of terminology used throughout the report.
Labour Market Status
Analysis is provided for those who are
economically active and economically inactive within this publication.
Economically active are those aged 16 and over who are either in
employment or unemployed. The economically inactive are people who are
neither in employment nor unemployed. This group includes, for example,
all those who were looking after a home or retired.
Employment
People aged 16 or over who did at least one hour
of paid work in the reference week (whether as an employee or
self-employed); those who had a paid job that they were temporarily away
from; those on government-supported training and employee programmes and
those doing unpaid family work.
Unemployment
The International Labour Organisation (ILO)
defines unemployment as those aged 16 and over without a job who were
able to start work in the two weeks following their interview and had
either looked for work in the four weeks prior to interview or were
waiting to start a job they had already obtained.
Deprivation Quintile
The Northern Ireland Multiple Deprivation
Measure is the official measure of spatial deprivation for NI and
comprises seven domains of deprivation as follows: income, employment,
health, education, proximity to services, living environment and crime.
Where 1 is the most deprived and 5 is the least deprived. Further
details on deprivation measurement in NI can be found at Northern
Ireland Multiple Deprivation Measure 2017 (NIMDM2017)
Proportions are calculated as a percentage of the total population of
grouping. For example, the percentage of no skills for the 16 to 24 age
group is calculated by dividing those aged 16 to 24 who had no digital
skills by the total population of 16 to 24 year olds.
Throughout this report, figures less than 100 are rounded to
two-significant figures.
If you require further information about the figures contained in this publication or the accompanying tables, would like to provide feedback on the publication content, or be added to the mailing list please contact:
Patrick O’Kane
Email: Patrick.OKane@nisra.gov.uk
Web: Digital
skills in Northern Ireland