Women in Northern Ireland 2023
All tables associated with this report can be downloaded from the NISRA website.
This paper considers the different labour market experiences of women and men in Northern Ireland. A consistent feature of the labour market is higher employment and unemployment rates for males and higher economic inactivity rates for females. These features are explored using estimates from the Labour Force Survey (LFS) individual annual datasets and household quarterly datasets, in addition to other applicable data sources.
A Labour Market Outputs consultation in 2019, showed labour market statistics are used for policy monitoring and research, academic and private sector research, service planning and delivery. Responses which related specifically to the Women in NI Report indicated that 63% of respondents found the Women in NI report ‘useful’ or ‘very useful’ for their work.
Government departments are key users of Northern Ireland labour market statistics. In particular, they are used by the Department for the Economy (DfE) to design and monitor the impact of economic policy, including the Skills Strategy for Northern Ireland. The Department for Communities (DfC) is leading on the development of four Executive Social Inclusion Strategies, including the development of a Gender Equality Strategy for Northern Ireland. Labour market statistics are used as part of the evidence base to help inform the Strategy.
Other Government departments such as The Executive Office (TEO), the Department of Finance (DoF) and the Department of Agriculture, Environment and Rural Affairs (DAERA), as well as bodies such as Invest NI and Belfast City Council, regularly require specific ad hoc labour market analysis in order to monitor policies for example, equality and employment. Significant non-governmental users (including the media, banks, academics, private consultants, and the general public) use the data primarily for reporting or researching the performance of the economy. Labour market statistics attract widespread media coverage, with a number of broadcasters publishing articles on the labour market on a monthly basis, generally on the day of publication of the Labour Market Report.
The Women in Northern Ireland report is a publication summarising key labour market statistics for females compared to males. Please note data within this report are not adjusted for seasonality. LFS annual datasets are derived from four consecutive quarters of the survey. The resulting sample size of the July 2022 to June 2023 dataset is approximately 10,000 individuals.
The work quality section (section 3.2), looks at eleven work quality indicators (detail on these indicators is contained within the Further information section). Ten of the eleven indicators are sourced from the LFS annual dataset noted above, with the earnings indicator sourced from the Annual Survey of Hours and Earnings (ASHE). ASHE information relates to the pay-week (or other pay period if the employee was paid less frequently) which included 19th April 2023, the reference date for the 2023 survey. ASHE remains the principal source of employee earnings information and earnings estimates derived from it are Accredited Official Statistics.
Estimates in section 4 are based on the July to September 2023 household quarterly dataset. This dataset is based on approximately 6,500 individuals. Users should note that the estimates from quarterly datasets are less precise (have larger confidence intervals around them) than estimates from annual datasets. Throughout this report, all LFS breakdowns have been created using the ‘sex’ variable and the terms men and males, and women and females are used interchangeably. These terms refer to the respondent’s self-reported sex.
This publication looks at the experiences of women in the labour market in Northern Ireland and makes comparisons to the experiences of men. Historically, the Northern Ireland labour market has seen higher rates of employment and unemployment for males and higher rates of economic inactivity for females. This report looks at these trends in greater depth and examines the reasons for female economic inactivity, as well as the different experiences in work.
Both sexes have seen a decrease in economic inactivity rates over the past ten years, however the proportion of working age women that are not in the labour force (29.4%) is considerably more than men (21.5%). According to the Labour Force Survey, the main reason that women and men were economically inactive in 2023 was due to long term sickness. However, for females, looking after the family and the home came a close second and was the most common reason given by women over the period 2013-2020. Looking after the family and the home has remained the least commonly given reason for male economic inactivity.
Similar to previous years, women who are working are less likely to be self-employed and are more likely to be working part-time than men. The age of the youngest child in the household is related to the likelihood of working part-time hours for females with dependent children. Those females with dependent children were more likely to work full-time where the youngest dependent child is secondary school age, compared to those with pre-school or primary aged children. Females with dependent children of any age were more likely to work part-time than those without, while the opposite was true for males.
When it came to work quality, men were notably more positive than women in six of the eleven indicators, however the largest difference between the sexes (15pps) was in the flexible work indicator where a higher proportion of women reported having a flexible working pattern than men. The indicators which were least positive for females, when compared to males, were being involved in decision making, feeling supported by line managers, never being bullied or harassed, opportunities for career progression, earnings above the Real Living Wage and job security.
The Labour Force Survey (LFS) is a household sample survey carried out by interviewing individuals about their personal circumstances and work. It provides a rich source of information on the labour force using internationally agreed definitions. Estimates are subject to sampling error (see Further information section) and the Estimating and Reporting Uncertainty paper for details).
LFS employed: 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.
Employment rate:
calculated by taking the number of employed people aged 16 to 64 as a
proportion of all working age people.
Year | Male employment rate (%) | Female employment rate (%) |
---|---|---|
2013 | 71.1 | 62.4 |
2014 | 71.5 | 63.7 |
2015 | 72.6 | 63.0 |
2016 | 74.1 | 63.5 |
2017 | 73.5 | 65.5 |
2018 | 72.6 | 66.0 |
2019 | 75.7 | 67.4 |
2020 | 76.8 | 67.6 |
2021 | 73.0 | 66.3 |
2022 | 73.0 | 68.1 |
2023 | 76.1 | 69.5 |
Figure 1 demonstrates that, over the past decade, both the male and female employment rates have generally trended upwards towards 2020 before decreasing in 2021 due to the COVID-19 pandemic when the male rate decreased more steeply than the female rate, both rates have since increased, however the female employment rate has surpassed its pre-pandemic level whilst the male rate has not.
During the decade the female employment rate has consistently been lower than the rate for males, although the gap between these rates has narrowed by 2.2 percentage points (pps) over ten years. The gap between males and females was the smallest in the series in 2022 at 4.9pps, increasing to 6.6pps in 2023. The largest gap (10.6pps) was seen in 2016.
Year | Male Employees | Female Employees | Male Self-employed | Female Self-employed |
---|---|---|---|---|
2013 | 326,000 | 346,000 | 83,000 | 22,000 |
2014 | 326,000 | 352,000 | 89,000 | 27,000 |
2015 | 336,000 | 348,000 | 91,000 | 24,000 |
2016 | 350,000 | 350,000 | 90,000 | 28,000 |
2017 | 341,000 | 354,000 | 94,000 | 35,000 |
2018 | 344,000 | 362,000 | 88,000 | 36,000 |
2019 | 358,000 | 369,000 | 95,000 | 37,000 |
2020 | 357,000 | 375,000 | 99,000 | 33,000 |
2021 | 356,000 | 368,000 | 79,000 | 30,000 |
2022 | 366,000 | 383,000 | 76,000 | 29,000 |
2023 | 375,000 | 390,000 | 83,000 | 31,000 |
Figure 2 shows that overall there has been an increase for both
males (by 39,000) and females (by 49,000) in employment over the last 10
years, which was mainly driven by increases in the number of male and
female employees.
The self-employment rate is the percentage of those in employment who are self-employed. The trend of higher self-employment rates for men than women is evident over the past ten years and accounts for the difference in male and female employment rates. In 2023 the self-employment rate for women was 7.3%, compared to the male rate of 18.0%.
Compared to a decade ago, the female self-employment rate has increased by 1.5pps whilst the male rate decreased by 1.7pps.
Over half (52%) of employed women in 2023 were employed within the public administration, education, and health sector and a further sixth (17%) were employed within the distribution, hotels, and restaurants sector. This distribution is broadly similar to 2013, however there has been a drop in the proportion of women employed within the distribution, hotels, and restaurants sector (by 5pps).
Employment across sectors was more evenly distributed for males in 2023, with public administration, education, and health (18%) and the distribution, hotels, and restaurants sector (17%) being the two largest categories of employed men. This was broadly similar to 2013 (18% and 20% respectively).
The most common occupations for women to be employed in, in 2023 were professional occupations (27%) and caring, leisure and other service occupations (18%). Whilst the proportion employed in caring, leisure and other service occupations has remained relatively similar to ten years ago, the proportion of women in professional occupations has risen by 6.5pps.
For employed men, the largest categories in 2023 were skilled trades (21%) and professional occupations (20%). Like women there has been an increase in the proportion of men in professional occupation over the past 10 years, though not as high an increase as for women (3.8pps). Those in skilled trade occupations has fallen from 26% in 2013 to 21% in 2023.
Only 2% of women worked in skilled trades (21% for men) whilst only 2% of men worked in caring, leisure and other service occupations (18% for women).
Estimates from the Annual Survey of Hours and Earnings show that median hourly earnings (excluding overtime) for women have consistently been below males. Although the gap in male and female earnings has decreased over the past 20 years, in 2023, considering all employees regardless of working pattern, females earned 7.8% less than males in NI i.e. for every £1 earned by men, women earned 92p.
The Gender Pay Gap is not uniform across age groups in NI.
Year | Male Full-time rate(%) | Female Full-time rate(%) |
---|---|---|
2013 | 89.8 | 61.3 |
2014 | 89.5 | 59.8 |
2015 | 90.2 | 63.4 |
2016 | 91.1 | 61.3 |
2017 | 90.8 | 59.8 |
2018 | 90.2 | 59.6 |
2019 | 89.2 | 62.7 |
2020 | 89.3 | 63.6 |
2021 | 89.1 | 63.7 |
2022 | 90.6 | 65.7 |
2023 | 90.3 | 65.8 |
The proportion of female employees (aged 16 to 64) working full-time has increased over ten years by 4.5pps, to 65.8% in 2023, as shown in Figure 3. With the male rate remaining relatively consistent over the same period, with a 0.5pps increase to 90.3%.
One in three female employees work part-time compared to just one in ten male employees. The majority (74%) of female employees (aged 16 to 64) working part-time stated that the reason for not working full-time hours was that they ‘did not want full-time work’. This proportion and the main reason has been broadly consistent over the past decade. In contrast, the main reasons given for part-time work by males was split between ‘Did not want full-time job’ (39%) and ‘Student or at school’ (37%), followed by ‘Could not find full-time job’ (19%). Over the past decade the main reason for male part-time work has been relatively evenly spread between these three options.
Year | Male Full-time Average Hours | Female Full-time Average Hours |
---|---|---|
2013 | 40.6 | 33.8 |
2014 | 41.1 | 34.1 |
2015 | 41.2 | 33.4 |
2016 | 40.6 | 33.7 |
2017 | 41.5 | 33.8 |
2018 | 41.3 | 34.2 |
2019 | 41.2 | 34.9 |
2020 | 38.1 | 32.5 |
2021 | 37.7 | 33.3 |
2022 | 38.8 | 33.7 |
2023 | 39.7 | 33.3 |
In terms of full-time workers, average hours worked by full-time women are consistently below that of men as shown in Figure 4 above.
This section provides analysis by sex of all eleven work quality indicators sourced from LFS and ASHE for employees aged 18 and over for the period July 2022 to June 2023 (referred to as 2023) . Details and definitions on each of the work quality indicators are available in the Further information section.
The work quality indicators refer to those aged 18 and over, in line with data available from ASHE, where the rest of the publication refers to the age ranges 16 and over, or 16 to 64.
Indicator | Male (%) | Female (%) |
---|---|---|
Earning at least RLW | 86.8 | 82.1 |
Secure employment | 97.9 | 95.9 |
Neither under nor over employed | 90.0 | 88.7 |
Job satisfaction | 76.4 | 81.3 |
Meaningful work | 83.6 | 90.1 |
Career progression | 62.0 | 57.5 |
Involvement in decision making | 60.7 | 54.9 |
Flexible working | 46.9 | 61.5 |
Line Manager Support | 83.9 | 78.4 |
Never bullied nor harassed | 91.2 | 86.4 |
Neither under nor over skilled | 47.2 | 52.5 |
Figure 5 shows that there was notable difference by sex in ten
of the eleven indicators, with the proportion of females significantly
higher than males in only four of the eleven indicators.
Flexible working showed the largest difference of 15pps, where over 3 in 5 female employees (62%) were in flexible working, compared to just under half of males (47%). The proportion of males reporting flexible work has seen considerable growth since 2021, increasing from 42% to 47%.
The remaining indicators where females were more positive than males were meaningful work (7pps higher), feeling job satisfaction (5pps higher) and being correctly skilled (neither under nor over skilled) for their current duties (5pps higher).
The indicators which were least positive for females, when compared to males, were being involved in decision making (6pps lower), feeling supported by line managers (5pps lower), never being bullied or harassed (5pps lower), opportunities for career progression (5pps lower), earnings above the Real Living Wage (5pps lower) and job security (2pps lower).
Although self-reported opportunities for career progression were lower for females (by 5pps), this is an improvement from 2021 where it stood at 9pps lower.
LFS unemployment: The
International Labour Organisation (ILO) defines unemployed as those
without a job who were able to start work in the two weeks following
their LFS 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 (numbers and rates refer to aged 16 and over population).
Unemployment rate: total
number of those aged 16 and over who are unemployed as a proportion of
all economically active people aged 16 and over.
Year | Male unemployment rate (%) | Female unemployment rate (%) |
---|---|---|
2013 | 8.8 | 5.6 |
2014 | 8.6 | 3.8 |
2015 | 7.7 | 5.5 |
2016 | 6.4 | 5.1 |
2017 | 6.6 | 3.8 |
2018 | 4.8 | 3.0 |
2019 | 3.2 | 2.9 |
2020 | 2.4 | 2.4 |
2021 | 3.9 | 3.1 |
2022 | 3.3 | 2.5 |
2023 | 3.1 | 1.5 |
Figure 6 shows that the female unemployment rate has consistently been below the male unemployment rate for the last 10 years, with the exception of 2020. When analysing rates over the last decade, while the two series don’t mirror each other exactly, they generally follow the same trend with both rates converging at 2.4% in 2020, they have since separated with male unemployment at 3.1% in 2023, compared to series low of 1.5% for females. Over this period the gap between the male and female rates has narrowed considerably, from 4.8pps in 2014 to parity in 2020 and stands at 1.5pps in 2023.
The number of unemployed females decreased from 22,000 in 2013, to 10,000 in 2020, before increasing to 13,000 in 2021. It has since fallen to a series low of 7,000 in 2023.
Similarly in this period, the number of males unemployed was highest at 41,000 in 2013 dropping to a series low of 11,000 in 2020, before increasing to 18,000 in 2021. It has since fallen to 14,000 in 2023.
Economically inactive:
People not in employment who have not been seeking work within the last
4 weeks and/or are unable to start work within the next 2 weeks (numbers
refer to the aged 16 and over population, rates refer to aged 16 to 64
years).
Economic inactivity
rate: the number of economically inactive people aged 16
to 64 as a proportion of all working age people.
Year | Male Inactivity Rate (%) | Female Inactivity Rate (%) |
---|---|---|
2013 | 21.8 | 33.9 |
2014 | 21.6 | 33.7 |
2015 | 21.1 | 33.3 |
2016 | 20.6 | 33.0 |
2017 | 21.1 | 31.8 |
2018 | 23.6 | 31.9 |
2019 | 21.7 | 30.6 |
2020 | 21.2 | 30.7 |
2021 | 23.9 | 31.5 |
2022 | 24.4 | 30.0 |
2023 | 21.5 | 29.4 |
Figure 7 shows that the economic inactivity rate for women (aged
16 to 64) has been consistently higher than men, however the gap between
the two rates has narrowed over the last decade reaching a low in 2022
of 5.6pps, it now stands at 7.9pps.
The inactivity rate for women (aged 16 to 64) was 29.4%, this was 0.7pps lower than the previous year and 4.5pps lower than the same point 10 years earlier. The corresponding rate for men (21.5%) was 2.9pps lower than the previous year and only 0.3pps lower than 10 years earlier.
Reason for Inactivity | Male | Female |
---|---|---|
Long-term sick | 50,000 | 56,000 |
Family/Home | 9,000 | 44,000 |
Retired | 13,000 | 19,000 |
Student | 40,000 | 39,000 |
Other | 13,000 | 15,000 |
In 2023, the most common reason for inactivity for both men and
women (aged 16 to 64 years) was long-term sickness (32% for females, 40%
for males). The second most common reason for women to be inactive in
2023 was looking after the family and the home (25%), this was a change
compared to 2013, when the most common reason for women to be inactive
was family/home (37%), with only one in five (20%) citing long-term
sickness.
The biggest difference in economic inactivity between males and females in 2023 was in the number citing family/home as their reason for inactivity. For men, this was the least common reason (8%), in contrast to 25% for women.
Components of Inactivity rate | Males | Females |
---|---|---|
Long-term sickness | 8.7% | 9.5% |
Family/Home | 1.6% | 7.5% |
Student | 6.9% | 6.6% |
Retired | 2.2% | 3.2% |
Other | 2.2% | 2.5% |
When those looking after the family or home are excluded from the total economic inactivity rate (Table 1) there is only a difference of 2pps between the inactivity rates for males and females (21.9% for females, 19.9% for males).
Analysis in this section relates to the household unit. Where men or women are discussed it relates to head of households rather than all adults. Where dependents are discussed, this relates only to dependent children. There is limited data available on carers of dependent adults and people with disabilities from the LFS and these groups have not been included in the LFS analysis.
Carers UK have however carried out analysis of those caring for an ill, older or disabled family member or friend. In 2023, they estimated that there were 350,000 unpaid carers in Northern Ireland, considerably more than before the pandemic (212,000).
Unlike the preceding sections, this section uses the July to September 2023 (referred to as 2023) household quarterly dataset. Users should note that the estimates from quarterly datasets are less precise (have larger confidence intervals around them) than estimates from the individual annual dataset.
Dependent children: Those under 16 years and those aged 16 to 18, never married and in full time education.
The previous section (3.4) demonstrated that economic inactivity was higher among women, with the difference mainly being due to considerably more females being inactive than men due to family/home responsibilities. Analysis of household units shows that in 2023 70% of women (aged 16 to 64) who were inactive due to family/home commitments had a dependent child, 6pps lower than last year.
In order to be able to work, many parents with dependent children require regular reliable childcare. Recent research by the Department of Health shows that at 31 March 2023, 3,397 people or facilities were registered for the provision of day care for children under the age of 12, with HSC Trusts in Northern Ireland providing 57,482 places. In terms of those providing day care, this was a decrease of 6% on the previous year, and a 3% decrease in the number of registered places. This provision is made up of child-minders, playgroups, day nurseries, out of school clubs and other organisations.
Age of youngest dependent child | Male economic activity rate (%) | Female economic activity rate (%) |
---|---|---|
1 to 4 | 95.2 | 69.6 |
5 to 10 | 93.4 | 79.5 |
11 to 18 | 92.8 | 82.7 |
Figure 9 above shows the economic activity rates for males and
females disaggregated by age of youngest dependent child where the age
groupings of children are aligned with pre-school, primary school and
secondary school age. Women consistently have lower economic activity
than men regardless of age of youngest dependent child. Women whose
youngest child is of pre-school age had the lowest economic activity
(70%), with their male counterparts having a economic activity rate of
95%, 26pps higher.
Age of youngest dependent | Full-time Work | Part-time Work |
---|---|---|
1 to 4 | 55% | 45% |
5 to 10 | 54% | 46% |
11 to 18 | 64% | 36% |
Further examining the difference in economic activity, Table 2
shows how the working pattern of women relates to the age of their
youngest child. Just over half (55%) of women whose youngest child was
of pre-school age worked full-time. This increased to 64% of women whose
youngest child was of secondary school age.
There were similar proportions of women that worked part-time when their youngest child was of pre school (45%) and primary age (46%), this dropped to 36% of women whose youngest child was of secondary school age.
Category | Part-time (%) | Full-time (%) |
---|---|---|
Females with Dependents | 41.4 | 58.6 |
Females without Dependents | 28.3 | 71.7 |
Males with Dependents | 3.7 | 96.3 |
Males without Dependents | 9.4 | 90.6 |
Figure 10 shows the working patterns (full-time or part-time) of
men and women with and without dependent children. Women were much more
likely than men to be working part-time, regardless of whether they have
dependent children.
Approximately seven in ten employed women without dependent children were working full time (72%), which was 13.1pps higher than the proportion of employed women with dependent children working full time (59%). This pattern has been consistent over the last 5 years.
The average age of females without dependent children was higher than that of females with dependent children, particularly for those working part-time (51 compared with 40).
There was very little difference in the average ages of men with and without dependent children working full-time and part-time. Men with dependent children were the most likely to be working full-time (96%) and, on average, were the youngest males.
Estimates in sections 1 and 2 are largely calculated from the July 2022 to June 2023 individual annual Labour Force Survey (LFS) dataset. LFS annual datasets are derived from four consecutive quarters of the survey. The resulting sample size of the July to June 2023 dataset is approximately 10,000 individuals.
Individuals in each wave are interviewed in five successive quarters, such that in any quarter one wave will be receiving their first interview, one wave their second, and so on, with one wave receiving their fifth and final interview. The annual dataset is created by selecting the relevant cases from each quarter and combining them to create a dataset of unique cases. Selecting all wave one and five interviews allows the maximum number of respondents over a one-year period to be included whilst avoiding double counting.
Estimates in section 4 are based on the July to September 2023 household quarterly dataset. This dataset is based on approximately 6,500 individuals. Users should note that the estimates from quarterly datasets are less precise (have larger confidence intervals around them) than estimates from annual datasets.
LFS microdata are routinely revised to incorporate the latest population estimates. The population totals for January-March 2020 to June-August 2022, however, used projected growth rates from RTI data for UK, EU and non-EU populations based on 2021 patterns. The total population used at that time for the LFS therefore did not take into account any changes in migration, birth rates, death rates etc. since June 2021 and hence the estimates of levels may have been under- or over-estimating the true values and should be used with caution. Estimates of rates for this period will, however, be robust.
The latest LFS reweighting was introduced in February 2024, affecting data from July-September 2022 to September-November 2023, to incorporate the latest estimates of the size and composition of the UK population. This reweighting only effected quarterly data.
Since the onset of the pandemic, there have been three LFS reweightings of annual data to improve the estimates. In June 2022, the LFS quarterly estimates were reweighted from January-March 2020 to January-March 2022 using updated PAYE Real-Time Information data and with the introduction of the non-response bias adjustment to NI data. An overview of the Impact of Reweighting on the NI quarterly estimates of unemployment, employment, and economic inactivity is available on the NISRA website. This paper also contains the detail on two previous LFS reweightings since the onset of the COVID-19 pandemic, in October 2020 and July 2021.
Thresholds are used to determine whether LFS data are suitably robust for publication. Estimates under a cell count of 3 are disclosive and therefore suppressed. Shaded estimates are based on a small sample size. This may result in less precise estimates, which should be used with caution, in particular should not be used to make statements on relative size when compared to similar values. Unshaded estimates are based on a larger sample size. This is likely to result in estimates of higher precision, although they will still be subject to some sampling variability.
The Labour Force Survey is a sample survey. It provides estimates of population values. If we drew many samples each would give a different result. The ranges shown for the LFS data in the table below represent 95% confidence intervals. We would expect that in 95% of samples the range would contain the true value.
Labour Market Status | LFS estimate | Lower limit | Upper limit |
---|---|---|---|
Unemployment (aged 16 and over) | 21,000 | 17,000 | 25,000 |
Employment (aged 16 to 64) | 852,000 | 839,000 | 865,000 |
Economically inactive (aged 16 to 64) | 298,000 | 285,000 | 311,000 |
Unemployment rate (aged 16 and over) | 2.3 | 1.9 | 2.8 |
Employment rate (aged 16 to 64) | 72.8 | 71.7 | 73.9 |
Economic inactivity rate (aged 16 to 64) | 25.5 | 24.4 | 26.6 |
Further information on estimating and reporting uncertainty can be found in the LFS background information on the NISRA website.
The definition of unemployment used in the Labour Force Survey (LFS) is in accordance with that of the International Labour Organisation (ILO). The ILO unemployed includes those without a job who were able to start work in the two weeks following their LFS 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.
The definition of unemployment rate is the percentage of economically active people who are unemployed.
Please note that it is possible for the number of unemployed to increase and the unemployment rate to fall during the same period, as the latter measure is a ratio e.g. if the number of economically active has increased at a faster rate than the number unemployed, the unemployment rate will fall.
The definition of ILO employed applies to anyone (aged 16 or over) who has carried out at least one hour’s paid work in the week prior to interview, or has a job they are temporarily away from (e.g. on holiday). Also included are people who do unpaid work in a family business and people on Government-supported employment training schemes.
The definition of employment rate is the percentage of all working age (aged 16 to 64) people who are employed.
The ILO measures are particularly useful for examining short term and long term trends over time and key LFS time series data are available both seasonally adjusted and unadjusted.
Economic inactivity is defined as those individuals who are neither in employment nor unemployed as determined by the ILO measure. This economic status includes all those who are looking after a home, are long term sick or disabled, are students, or are retired.
Section 3.2 of this publication contains analysis of eleven work quality indicators for employees aged 18 and over, as sourced from the Labour Force Survey and Annual Survey of Hours and Earnings. Further information on the evolving area of work quality and additional breakdowns by age and industry can be found within the latest Work Quality in Northern Ireland – July 2022 to June 2023 publication, released on 27th February 2024.
Indicators | Definitions |
---|---|
Job Security | Employees in a permanent job or in a temporary job who did not want a permanent job |
Neither under nor over employed | Employees who are neither underemployed or overemployed as per the International Labour Organisation (ILO) definition |
Never bullied or harassed | Employees who reported not being bullied or harassed in the workplace in the last 12 months |
Meaningful Work | Employees who agree or strongly agree that they perform meaningful work in their job |
Earning at least RLW | The proportion of employees earning at least the Real Living Wage |
Line Manager Support | Employees who agree or strongly agree that they are supported by their immediate boss |
Job Satisfaction | Employees who report that they are satisfied or very satisfied with their job |
Career Progression | Employees who agree or strongly agree that their job offers good opportunities for career progression |
Involvement in decision making | Employees who report that Managers are good or very good at involving employees and their representatives in decision making |
Flexible Work | Employees who have a flexible agreed working arrangement of either: flexitime, annualised hours contract, term time working or job sharing; or part-time and not underemployed; or primarily working at home |
Neither under nor over skilled | Employees who reported having the required skills for their current duties |
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:
Mark McFetridge
Email: lfs@finance-ni.gov.uk
Web: Women
in Northern Ireland
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