The Family Resources Survey (FRS) is a continuous household survey which collects information on a representative sample of private households in Northern Ireland. Detailed information is recorded on respondents’ income from all sources; housing tenure; caring needs and responsibilities; disability; expenditure on housing; pension participation; savings; family circumstances and food security.
This report summarises key findings from the FRS for the 2022/23 financial year when approximately 1,900 households were interviewed.
Data collection in 2020/21 and 2021/22 was impacted by COVID-19 restrictions resulting in a move to telephone interviewing and a reduced sample size. This led to additional uncertainty around the estimates, particularly for smaller groups. In 2022/23 a mix of face to face and telephone interviews were employed. Changes in estimates over recent years should be interpreted being mindful of the differences in data collection approaches across the period and the effect this had on sample composition, with longer term trends often giving a clearer picture.
Headline Figures
Figure 1: Households by Tenure, 2022/23
In 2022/23:
• 42% of households were owned
outright.
• 28% of households were bought with a mortgage.
• 13%
of households were in the social rental sector, while 18% were in the
private rental sector.
See Table 3.1 for full
data.
Figure 2: Households by Amount of Savings and Investments, 2022/23
In 2022/23:
• 13% of households had no
savings/investments.
• 39% of households had less than £3,000 of
savings/investments.
• 15% of households had £20,000 or more of
savings/investments.
See Table 4.4 for full
data.
Figure 3: Households by State Support Receipt, 2022/23
In 2022/23:
• 24% of households were in
receipt of an income related benefit.
• 64% of households were in
receipt of a non-income related benefit.
• 66% of households were in
receipt of an income related or non-income related benefit.
See
Table 2.3 for full data.
What You Need to Know
The primary purpose of the FRS is to provide the Department for Communities (DfC) with data to inform the development, monitoring and evaluation of social welfare policy.
The survey is used by many other government departments and is used for tax and benefit policy modelling by HM Treasury and HM Revenue and Customs. The FRS is also used extensively by academics and research institutes for social and economic research.
Some of the analysis presented in this report highlights trends over time: 2012/13 is often used as the starting point for such analysis to provide a ten year time-series, however data is available from 2002/03 when the FRS became a UK wide survey. Unless otherwise stated, any trend analysis relates to the period 2012/13 to 2022/23.
In some of the graphs in this report, figures have been suppressed due to an insufficient sample size. If a figure cannot be displayed, please check the supporting table to check if it is zero / suppressed.
Households, Benefit Units and Individuals
Results in this report are presented at household, family/benefit unit or individual level depending on context.
Where to Find Out More
Further detailed information about FRS methodology, and contextual information to aid understanding of the statistics presented in this report, can be found in the Quality and Methodology Report.
Supporting data tables are available to download here.
Other FRS Publications
The FRS provides the underlying data for the Northern Ireland Poverty and Income Inequality Report, which is also published by DfC.
Income and State Support
Income from employment has formed a large and relatively stable proportion of total household income over the last 10 years.
Figure 4: Sources of Total Gross Household Income, 2012/13 to 2022/23
- Of the gross weekly household income in Northern Ireland in 2022/23, 72% was made up of income from employment which includes wages, salaries, self-employment and employment related dividends. This compares to 74% in the UK overall.
- A further 18% of average gross income came from state support which is comprised of benefits including state pension and tax credits.
- The remaining 10% was made up from private pensions (8%) and other sources (2%).
See Table 2.11 for full data.
Mid Ulster had a higher proportion of income from employment than any other Local Government District (LGD).
Figure 5: Income Sourced from Employment by Local Government District, 2019/20 - 2022/23 (Combined)
- In Mid Ulster, 81% of all gross income came from employment; a higher percentage than any other region in Northern Ireland.
- Derry City and Strabane had the lowest percentage of income from employment at 61%.
- The proportion of income from sources other than employment also differed by LGD. Derry City and Strabane had the highest percentage of income from state support at 29%. Ards and North Down had the highest percentage of income from private pensions at 15%.
See Table 2.15 for full data.
The proportion of families receiving state support varied by age and type of benefit.
Figure 6: State Support Receipt by Age of Head of Family (Benefit Unit), 2022/23
Any Benefit
Figure 7: State Support Receipt by Age of Head of Family (Benefit Unit), 2022/23
Figure 8: State Support Receipt by Age of Head of Family (Benefit Unit), 2022/23
Figure 9: Families (Benefit Units) by Income Received from State Support, 2022/23
From Figure 9 above, it can be noted that during 2022/23
- 45% of families received no state support;
- 27% of families received less than £10,000 a year in state support;
- 11% of families received between £10,000 and £15,000 a year;
- 10% of families received between £15,000 and £20,000 a year; and
- 7% of families received £20,000 or more a year in state support.
See Table 2.8 for full data.
Tenure
Trends in tenure composition show change over time.
Figure 10: Households by Tenure, 2012/13 to 2022/23
In 2012/13, there was a similar proportion of households in the social rental sector (16%) and in the private rental sector (19%). From 2012/13 to 2016/17, a gap between these sectors developed; with the proportion of households in the private rental sector increasing while the proportion in the social sector decreased. This gap subsequently narrowed and in 2020/21 the percentage of households in the private rental sector (13%) was lower than the percentage of households in social rental sector (14%). In 2022/23, the private rental sector accounted for 18% of households and the social rental sector accounted for 13% of households.
The proportion of households owned outright increased from 36% in 2012/13 to 42% in 2022/23. In contrast, the proportion buying with a mortgage declined by 1 percentage point over the ten year period (29% to 28%).
See Table 3.6 for full data.
There were regional variations in rents/mortgages across the UK.
Figure 11: Median Household Weekly Rent/Mortgage by UK Region, 2022/23
The legend follows the order of the bars within the chart.
The chart (above) shows that the reported median weekly household rent was higher for private renters than for social renters. Social sector rent levels and increases are controlled through government-set formulae set out in the Housing Regulator’s rent standard and Government guidance. Differences may also, in part, reflect the difference in the type of properties in the sectors, with the private rented sector having a much wider and more varied range of stock.
Private rent was 1.4 times higher on average than social rent in Northern Ireland. The highest ratio was observed in London (2.3 times higher) with Wales having the lowest ratio (1.2 times higher) amongst all UK regions. This compares to the overall United Kingdom ratio of 1.7 times higher.
There was variation across the UK regions as to whether private rent or mortgage installments (repayment mortgages only) were the most expensive, with Northern Ireland being one of the least expensive regions in the UK for both.
See Table 3.3 for full data.
Disability
Almost one quarter of the Northern Ireland population had a disability.
Figure 12: Disability Prevalence by Age Group, 2012/13 to 2022/23
The chart above shows that in Northern Ireland, the proportion of disabled people differed by age group: in 2022/23, 22% of working age adults were disabled compared to 54% of adults over State Pension age. The estimated percentage of all individuals who had a disability has gradually increased over time from 19% in 2012/13 to 24% in 2022/23.
A person is considered to have a disability if they report a long-standing illness, disability or impairment which causes substantial difficulty with day-to-day activities. This is the core definition of disability in the Equality Act 2010.
From 6 April 2010, the State Pension age for women has been gradually increasing and since December 2018 has been increasing for both men and women. FRS data contained in this report was collected throughout the financial year 2022/23, during which the State Pension age for both men and women was 66 years.
See Table 5.9 for full data.
In 2022/23, almost half of all disabled individuals reported a mobility impairment.
Figure 13: Impairment Types Reported by Disabled People, 2022/23
The chart above provides detailed information about the types of impairment that disabled people reported.
Please note that respondents can be affected by (and can report) more than one type of impairment.
In 2022/23, the percentages of those with a disability affected by different impairment types ranged from 46% of disabled individuals reporting a mobility impairment to 6% reporting a hearing or social/behavioural impairment and 5% reporting a visual impairment.
See Table 5.12 for full data.
The disability prevalence ranged from 12% to 37% between LGDs.
Figure 14: Disability Prevalence by Local Government District, 2019/20 - 2022/23 (Combined)
The chart above shows that disability prevalence varied notably by LGD. The percentage of individuals recorded as having a disability was lowest within Mid Ulster at 12%. The disability prevalence was at its highest within the Derry City and Strabane LGD at 37%. The average for 2019/20 - 2022/23 for Northern Ireland disability prevalence was 23%.
The FRS does not record information on individuals in nursing or retirement homes. This means that figures relating to older people may not be fully representative of the Northern Ireland population, as many older people may have moved into homes where they can receive more support. Therefore, it is likely that disability prevalence is higher than estimated from the FRS.
See Table 5.10 for full data.
Over the last 10 years the number of people with a disability has grown for both males and females.
Figure 15: Number of Disabled People by Gender, 2012/13 to 2022/23
The legend follows the order of the bars within the chart.
The chart above shows that in 2022/23, approximately 245,000 females and 206,000 males in Northern Ireland reported having a disability. The number of males and females with a disability has risen over the last 10 years from 170,000 and 180,000 respectively in 2012/13.
Note, disabled people are identified as those who report any physical or mental health condition(s) or illness(es) that last or are expected to last 12 months or more and which limit their ability to carry out day-to-day activities.
See Table 5.11 for full data.
Carers
Approximately 7% of the population were informal carers.
Figure 16: Percentage of People Providing Informal Care by Age Group, 2012/13 to 2022/23
Figure 17: Hours of Care Provided by Adult Informal Carers per Week, 2022/23
Many people provide informal care to others. In 2022/23, 7% of the population (including children) were informal carers. This included 9% of working age adults and 10% of State Pension age adults. Figure 16 above shows the percentage of carers increased slightly over the ten year period from 6% in 2012/13 to 7% in 2022/23.
The bar chart (Figure 17) shows that in 2022/23 19% of adult carers provided care for 50 or more hours per week.
See Table 5.1 and Table 5.7 for full data.
More than one quarter of adult informal carers were working full-time and 25% were retired.
Figure 18: Adult Informal Carers by Employment Status, 2022/23
The legend follows the order of the bars within the chart.
- Figure 18 above shows that many carers balanced their caring responsibilities with paid work. However, it also shows that carers were more likely to be economically inactive due to sickness/disability or other reasons than the adult population overall.
- Of all adult carers, full-time employee/self-employed was the largest group (28% in 2022/23).
- The next largest groups were those who were retired (25%), permanently sick/disabled (21%), other inactive (14%), and those who were part-time employee/self-employed (11%).
- All analysis in this section is based on informal carers only i.e. carers who do not provide help as part of a formal job. The terms ‘informal carer’ and ‘carer’ are used interchangeably.
See Table 5.3 for full data.
Pensions, Savings and Investments
There was an increase in the proportion of benefit units with no savings from 2020/21 to 2022/23.
Figure 19: Percentage of Benefit Units by Amount of Savings and Investments, 2020/21 to 2022/23
The legend follows the order of the bars within the chart.
The chart above presents the percentages of benefit units by amount of savings and investments for the most recent three years.
This shows that the proportion of benefit units with some, but less than £3,000 of savings has decreased by 3 percentage points between 2020/21 and 2022/23, although there has been an increase in those benefit units with no savings (13% to 19%).
The proportion of benefit units who reported savings of £20,000 and over remained stable at 13% between 2020/21 and 2021/22, but has decreased slightly to 11% in 2022/23.
Please note that caution should be used when looking at the value of savings and investments as they are likely to be under-estimates, since respondents often inaccurately report their account details.
See Table 4.6 for full data.
Employees were more than twice as likely to be participating in a pension scheme than the self-employed.
Figure 20: Pension Participation by Economic Status, 2022/23
The legend follows the order of the bars within the chart.
The chart (above) shows that 44% of all adults were actively participating in a pension scheme during 2022/23.
Approximately three quarters (78%) of all employees were participating in a pension scheme in comparison to just over a third (36%) of those who were self-employed.
Note, all adults includes those who are economically inactive.
See Table 4.7 for full data.
Household Food Security
From April 2019, the FRS has asked questions on household food security. Households with high or marginal food security are “food secure”. Food secure households are considered to have sufficient, varied food to facilitate an active and healthy lifestyle. Households with low or very low food security are “food insecure”. Food insecure households have a risk of, or lack of access to, sufficient, varied food.
Food security was lowest within the social renting sector.
Figure 21: Percentage of Food Secure Households by Country, 2022/23
Figure 22: Percentage of Food Secure Households by Household Disability Status, 2022/23
Figure 23: Percentage of Food Secure Households by Tenure, 2022/23
In 2022/23, 91% of households in Northern Ireland were food secure, compared to 90% in the United Kingdom as a whole.
In 2022/23, 94% of households with no disabled adults were food secure, compared to 86% of households with a disabled adult, and 81% of households with a disabled adult under pension age.
In 2022/23, 96% of all owner occupied households were food secure, compared to 76% of households in the social rental sector and 79% of households in the private rental sector.
Households in receipt of income related benefits also experienced low levels of food security, with an estimate of 72% in 2022/23.
See Tables 6.1– 6.5 for full data.
About these Statistics
National Statistics
National Statistics status means that our statistics meet the highest standards of trustworthiness, quality and public value and it is our responsibility to maintain compliance with these standards.
In April 2012, the United Kingdom Statistics Authority accredited these official statistics as National Statistics, in accordance with the Statistics and Registration Service Act 2007. They comply with the standards of trustworthiness, quality and value in the Code of Practice for official Statistics and should be labelled ‘accredited official statistics’. Further details can be found here.
It is the Department for Communities’ responsibility to maintain compliance with the standards expected of National Statistics. If we become concerned about whether these statistics are still meeting the appropriate standards, we will discuss any concerns with the Authority promptly. National Statistics status can be removed at any point when the highest standards are not maintained, and reinstated when standards are restored. Our statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to. You are welcome to contact us directly with any comments about how we meet these standards. Alternatively, you can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.
Since accreditation as National Statistics, we have made the following changes, to ensure we continue to adhere to the 3 pillars of trustworthiness, quality and public value:
To improve Trustworthiness:
Reviewed data governance protocols.
Ensured orderly release; reducing numbers on pre-release access list and keeping users informed of publication dates in accordance with Code of Practice e.g. 4 week notice etc.
To improve Quality:
- Improved Quality Assurance documentation.
To improve Value:
Requested feedback from users within the report.
Presented FRS analysis at conferences.
Improved clarity and accessibility by changing the layout; removing technical information to a separate report for more advanced users.
Added time series statistics to show trends in data over time.
Using the FRS for Analysis
Coverage
The FRS is designed to be representative of all private households in
the United Kingdom. Therefore certain individuals are not included – for
example, students in halls of residence and individuals in nursing or
retirement homes.
Sample design
The FRS uses a systematic stratified sample designed to produce robust
regional estimates. DfC have had to combine several years of data to
produce LGD analysis.
Sample size
Although the FRS NI sample of approximately 2,000 households is
relatively large for a household survey, small sample sizes for
particular subgroups may require several years of data to be combined.
Note, the 2022/23 estimates are based on responses from 1,900 Northern
Ireland households provided during face to face and telephone
interviews.
Data collection in 2020/21 and 2021/22 was impacted by COVID-19 restrictions resulting in a move to telephone interviewing and a reduced sample size. This led to additional uncertainty around the estimates, particularly for smaller groups. In 2022/23 a mix of face to face and telephone interviews were employed. Changes in estimates over recent years should be interpreted being mindful of the differences in data collection approaches across the period and the effect this had on sample composition, with longer term trends often giving a clearer picture.
Sampling Error
Results from surveys are estimates and not precise figures – in general
terms the smaller the sample size, the greater the uncertainty.
Results in this report are subject to a margin of error which can affect how changes should be interpreted, especially in the short term. Latest estimates should be considered alongside medium and long-term patterns.
Non-Sampling Error
Survey data represent the information as provided by the respondents to
the survey. If people give inaccurate responses or certain groups of
people are less likely to respond this can introduce biases and errors.
Non-sampling error is minimised in the FRS through effective and
accurate sample and questionnaire design, active fieldwork management,
the use of skilled and experienced interviewers and extensive quality
assurance of the data. However, it is not possible to eliminate
non-sampling error completely, nor can it be easily quantified.