1. Overview
This summary provides key labour market results from the Labour Force Survey (LFS) for the year ending 31st December 2022. Headline employment, unemployment and economic inactivity estimates are included.
1.1 Key points
2. Unemployment
3. Employment
4. Economic inactivity
1.2 Context
The Use of Economic and Labour Market Business and Household Surveys page provides recent examples of how data collected from the Labour Force Survey is used to inform, develop and monitor evidence-based policies. A Labour Market Outputs consultation in summer 2019 Labour Market Statistics User Engagement page showed labour market statistics are also used in academic and private sector research. Significant non-governmental users of labour market statistics include the media, banks, academics, private consultants, and the general public. User requested analysis is published on the NISRA website.
1.3 Things users need to know
This publication contains the first release of 2022 annual data for headline economic indicators.
Further breakdowns of annual data are planned for later in the year and users will be kept informed in due course.
2. Unemployment
LFS unemployment: The International Labour Organisation (ILO) defines unemployed as those aged 16 and over 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.
Key findings
- The Northern Ireland (NI) unemployment rate (aged 16 and over) in 2022 was estimated at 2.2%, a significant decrease of 1.5 percentage points (pps) over the year and a significant decrease of 5.0pps over the decade.
- The number of unemployed persons aged 16 and over in 2022 was estimated at 20,000, a decrease of 13,000 over the year and a decrease of 42,000 over the decade.
- The unemployment rate (16 and over) in 2022 was estimated at 2.7% for males and 1.7% for females.
Of those aged 16 and over who were unemployed in 2022, 64% (13,000) were male and 36% (7,000) were female. The changes by gender included:
- The male (16 and over) unemployment rate (2.7%) decreased by 1.6pps over the year.
- The female (16 and over) unemployment rate (1.7%) decreased by 1.4pps over the year.
Figure 1: The unemployment rate for NI in 2022 is the lowest in the series
Northern Ireland unemployment rate (16 and over), Jan to Dec 2012 to Jan to Dec 2022
Chart
Table
Year | Male Unemployment Rate (%) | Females Unemployment Rate (%) | Northern Ireland Unemployment Rate (%) |
---|---|---|---|
2012 | 9.3 | 5.0 | 7.3 |
2013 | 9.4 | 4.8 | 7.3 |
2014 | 7.7 | 4.9 | 6.4 |
2015 | 7.2 | 4.6 | 6.0 |
2016 | 6.9 | 5.1 | 6.1 |
2017 | 5.6 | 3.1 | 4.4 |
2018 | 4.4 | 2.9 | 3.7 |
2019 | 2.7 | 2.4 | 2.6 |
2020 | 2.9 | 3.0 | 2.9 |
2021 | 4.3 | 3.1 | 3.7 |
2022 | 2.7 | 1.7 | 2.2 |
Figure 1 shows the unemployment rates for NI and for males and females over the last 10 years. The 2022 unemployment rate for NI is the lowest in the series at 2.2%. The unemployment rate has been higher for males than for females for the majority of this period. The gap between the unemployment rates for males and females saw a decrease from 4.7pps in 2013 to a minimal difference of less than 0.1pps in 2020, it has since widened in 2021 (1.2pps) and 2022 (1.1pps).
3. Employment
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.
Key findings
- The Northern Ireland (NI) employment rate (aged 16 to 64) in 2022 was estimated at 71.9%, a significant increase of 1.7 percentage points (pps) over the year and a significant increase of 4.9pps over the decade.
- The number of employed persons aged 16 to 64 in 2022 was estimated at 841,000, an increase of 24,000 over the year and an increase of 65,000 over the decade.
- The employment rate (16 to 64) for males in 2022 was estimated at 75.4% and the female rate was estimated at 68.5%.
Of those aged 16 to 64 who were employed in 2022, 52% (436,000) were male and 48% (405,000) were female. The changes by gender included:
- The male (16 to 64) employment rate (75.4%) increased by 3.0pps over the year.
- The female (16 to 64) employment rate (68.5%) increased by 0.5pps over the year.
Figure 2: The NI employment rate has returned to prepandemic levels
Northern Ireland employment rate (16 to 64), Jan to Dec 2012 to Jan to Dec 2022
Chart
Table
Year | Male Employment Rate (%) | Female Employment Rate (%) | NI Employment Rate (%) |
---|---|---|---|
2012 | 70.8 | 63.3 | 67.0 |
2013 | 71.4 | 62.9 | 67.1 |
2014 | 72.4 | 63.1 | 67.7 |
2015 | 73.3 | 63.7 | 68.4 |
2016 | 74.3 | 64.5 | 69.4 |
2017 | 72.9 | 65.3 | 69.1 |
2018 | 73.5 | 66.5 | 70.0 |
2019 | 75.8 | 68.1 | 71.9 |
2020 | 74.6 | 65.2 | 69.8 |
2021 | 72.4 | 68.1 | 70.2 |
2022 | 75.4 | 68.5 | 71.9 |
Figure 2 shows the employment rates for NI and for males and females over the last 10 years. It shows that the NI employment rate in 2022 (71.9%) has returned to the pre pandemic level of 71.9% in 2019. The employment rate has been higher for males than for females over the whole time period. The employment gap between males and females was the smallest in the series in 2021 (4.3pps) but has since widened to 6.9pps in 2022.
4. Economic inactivity
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.
Key findings
- The Northern Ireland (NI) inactivity rate (aged 16 to 64) in 2022 was estimated at 26.3%, a decrease of 0.7 percentage points (pps) over the year and a decrease of 1.3pps over the decade.
- The number of inactive persons aged 16 to 64 in 2022 was estimated at 308,000, a decrease of 6,000 over the year and a decrease of 12,000 over the decade.
- The inactivity rate (16 to 64) for males in 2022 was estimated at 22.4% and the female rate was estimated at 30.3%.
Of those aged 16 to 64 who were inactive in 2022, 42% (129,000) were male and 58% (179,000) were female. The changes by gender included:
- The male (16 to 64) inactivity rate (22.4%) decreased by 1.9pps over the year.
- The female (16 to 64) inactivity rate (30.3%) increased by 0.5pps over the year.
Figure 3: Female economic inactivity has been consistently higher than males
Northern Ireland economic inactivity rate (16 to 64), 2012 to Jan to Dec 2022
Chart
Table
Year | Male Inactivity Rate (%) | Female Inactivity Rate (%) | NI Inactivity Rate (%) |
---|---|---|---|
2012 | 21.8 | 33.3 | 27.6 |
2013 | 21.0 | 33.8 | 27.5 |
2014 | 21.4 | 33.6 | 27.6 |
2015 | 20.8 | 33.2 | 27.1 |
2016 | 20.0 | 31.9 | 26.0 |
2017 | 22.6 | 32.5 | 27.6 |
2018 | 23.0 | 31.4 | 27.2 |
2019 | 22.0 | 30.2 | 26.2 |
2020 | 23.1 | 32.7 | 28.0 |
2021 | 24.2 | 29.7 | 27.0 |
2022 | 22.4 | 30.3 | 26.3 |
Figure 3 shows that the economic inactivity rate has decreased since 2021 by 0.7pps. The NI rate in 2022 (26.3%) is 0.3pps higher than the series low in 2016 (26.0%). The economic inactivity rate for females has been consistently higher than males. The economic inactivity gap between females and males was the smallest in the time series in 2021 (5.5pps), it has increased to 7.9pps in 2022, however it is still smaller than the rest of the series.
5. Further information
Background
The LFS annual dataset used for this publication is derived from four consecutive quarters of the LFS.
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 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. The resulting sample size of the 2022 dataset is approximately 11,000 individuals. The sample size has returned to the pre-pandemic sample size in 2019 (11,000 individuals).
The LFS collects information from a sample of the population living in households. To provide estimates for the entire population, the data must be grossed. This is achieved by creating grossing factors often referred to as weights, that can be applied to each sampled individual so that grossed results match published population data in terms of age distribution, sex and region of residence. Mid-year population estimates and projections are used to ensure that the LFS is grossed to the most up to date population data available.
LFS revisions
Typically, the Office for National Statistics (ONS) would reweight the LFS every two years to take account of updated population estimates and projections.
Since the onset of the pandemic, the ONS have been monitoring the impact and as a result, there have been three LFS reweightings 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.
Reporting change and sampling variability
Reported change is calculated using unrounded data and is presented to 1 decimal place. When a change is less than 0.05pps, it is rounded to 0.0pps and the data is reported as unchanged.
The LFS is a sample survey and, as such, estimates obtained from it are subject to sampling variability. If we drew many samples each would give a different result.The ranges shown for the LFS data in the headline tables 1.1 to 1.3 represent 95% confidence intervals i.e. we would expect that in 95% of samples the range would contain the true value. See the Estimating and Reporting Uncertainty Paper for details.
If the annual change of an estimate is larger than the ‘confidence interval around the change’, the change is statistically significant. If none of the reported changes over the year were statistically significant, then the recorded changes did not exceed the variability expected from a sample survey of this size.
Publication thresholds
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.
LFS definitions
Employment: 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. In this publication employment estimates are for the working age (16 to 64) population.
Employment rate: The employment rate is the percentage of all working age (16 to 64) people who are employed.
Unemployment: The definition of unemployment used in the LFS is in accordance with that of the International Labour Organisation (ILO). 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.
Unemployment rate: The unemployment rate is the percentage of economically active people (16 and over) who are unemployed.
Economic inactivity: Economic inactivity applies to those individuals who are neither in employment nor unemployed on the ILO measure.
Economic inactivity rate: The economic inactivity rate is the percentage of people of working age who are economically inactive.
6. Contacts
If you require further information about the figures contained in this publication or the accompanying tables, or would like to provide feedback on the publication content please contact the Labour Force Survey section using the details below
Holly McAteer
Email: LFS@finance-ni.gov.uk
Web: Labour Force Survey
7. National Statistics Status
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.
The LFS statistics were designated as National Statistics in August 2010 following a full assessment of Labour Market Statistics for Northern Ireland against the Code of Practice for statistics. A compliance check in March 2020 of the Labour Market Report, which contained LFS statistics, recommended the continued designation of the Labour Market Report as a National Statistic. These statistics were considered as part of a wider assessment of the UK employment and jobs statistics.
Since the assessment by the UK Statistics Authority, we have continued to comply with the Code of Practice for Statistics, and have made the following improvements:
- New HTML report, produced using reproducible analytical pipelines (RAP) to enhance usability and accessibility (in line with regulations) and increase automation of production;
- Providing more context to results by setting recent changes within context of longer term trends;
- Improved quality of the LFS data by boosting the sample size and improving precision around headline estimates (Please note, sample sizes decreased during the COVID-19 pandemic due to difficulty of collecting survey information from households, but have since returned to pre-pandemic levels);
- Reviewed and updated quality protocols for release for LFS data;
- Improved accessibility of labour market statistics by changing the release dates of statistics to avoid public holidays