- Labour market overview
- Average weekly earnings in Great Britain
- Vacancies and jobs in the UK
- Labour market in the regions of the UK
- Earnings and employment from Pay As You Earn Real Time Information, UK
- Single-month and weekly Labour Force Survey estimates
- August to October 2020 estimates show a large increase in the unemployment rate and a record number of redundancies, while the employment rate continues to fall.
- Although decreasing over the year, total hours worked had a record increase from the low levels in the previous quarter, with the August to October period covering a time when a number of coronavirus (COVID-19) lockdown measures were eased.
- The UK employment rate was estimated at 75.2%, 0.9 percentage points lower than a year earlier and 0.5 percentage points lower than the previous quarter.
- The UK unemployment rate was estimated at 4.9%, 1.2 percentage points higher than a year earlier and 0.7 percentage points higher than the previous quarter.
- The UK economic inactivity rate was estimated at 20.8%, 0.1 percentage points lower than the same period the previous year but largely unchanged compared with the previous quarter.
- The total number of weekly hours worked was 960.0 million, down 95.7 million hours on the same period the previous year but up a record 104.9 million hours compared with the previous quarter.
Employment measures the number of people aged 16 years and over in paid work and those who had a job that they were temporarily away from. The employment rate is the proportion of people aged between 16 and 64 years who are in employment.
The estimated employment rate for people aged between 16 and 64 years had generally been increasing since early 2012, largely driven by an increase in the employment rate for women. However, there has been a decrease since December to February 2020, coinciding with the start of the coronavirus (COVID-19) pandemic (Figure 1).
For people aged between 16 and 64 years, for August to October 2020:
- the estimated employment rate for all people was 75.2%; this is 0.9 percentage points down on the same period the previous year and 0.5 percentage points down compared with the previous quarter (May to July 2020)
- the estimated employment rate for men was 78.4%; this is 1.9 percentage points down on the same period the previous year and 1.1 percentage points down on the quarter
- the estimated employment rate for women was 72.1%; this is 0.1 percentage points up on the same period the previous year but largely unchanged on the quarter
The single-month and weekly estimates of the employment rate suggest that the rate has been largely flat throughout the three-month period.
The increase in the employment rate for women in recent years is partly a result of changes to the State Pension age for women, resulting in fewer women retiring between the ages of 60 and 65 years. However, since the equalisation of the State Pension age, the employment rate for women had continued to rise, though it has now decreased because of the impact of the coronavirus (COVID-19) pandemic.
Imputation used for the Labour Force Survey (LFS) was not designed to deal with the changes experienced in the labour market in recent months. Experimental work with adjusted methodology suggests the use of the existing methodology has little impact on the employment rate (around 0.1 percentage points). Further information can be found in the section on Measuring the data.
Estimates for August to October 2020 show 32.52 million people aged 16 years and over in employment, 280,000 fewer than a year earlier. This was the largest annual decrease since January to March 2010.
Employment decreased by 144,000 on the quarter. This quarterly decrease was mainly driven by men in employment, the self-employed and part-time workers, but was partly offset by an increase in full-time employees.
More about economy, business and jobs
Looking more closely at the change in employment over the quarter by age group (Figure 2), it decreased for those aged 16 to 24 years by 90,000, to a record low of 3.51 million. There was also a combined decrease of 123,000 on the quarter for those aged 25 to 64 years, to 27.67 million. Meanwhile, the number of people in employment aged 65 years and over has increased by 70,000 on the quarter to 1.34 million, recovering from the large falls seen in the early stages of the pandemic between January to March 2020 and April to June 2020.
Full-time and part-time employees and self-employed
Looking more closely at the quarterly decrease in employment (Figure 3), this is driven by decreases in the number of part-time workers (down 194,000 on the quarter to 8.06 million) and self-employed people (down 183,000 to 4.50 million, with a record 97,000 decrease for part-time self-employed people).
The quarterly decrease was partly offset by an increase in full-time employees, up by 135,000 on the quarter to a record high of 21.24 million. The increase in full-time employees was driven by women (up 164,000 on the quarter to a record 8.75 million), while men decreased by 29,000 to 12.48 million.
Employment status on the LFS is self-reported, with people classifying themselves as being either an employee or self-employed. Previous labour market flows estimates show that the recent increases in the number of employees and decreases in the number of self-employed people have been driven, in part, by a movement of people from self-employed to employee status. Of those who move from self-employed to employee status, the number who had changed jobs had not increased from normal levels. Consequently, some of the fall in self-employment comes from an increase in the number of people who have changed to classifying themselves as an employee, even though they have not changed jobs. Additional analysis suggests the drivers of this are self-employed people who previously reported they were sole directors of their own limited business, partners in a business or a professional practice, subcontractors, or those doing freelance work.
Since estimates began in 1971, up until the introduction of the coronavirus (COVID-19) lockdown measures, total hours worked by women had generally increased, reflecting increases in both the employment rate for women and the UK population. In contrast, total hours worked by men had been relatively stable because of falls in the employment rate for men, and increases in the share of part-time working, roughly offset by population increases.
Workers temporarily absent from a job as a result of the coronavirus pandemic would still be classed as employed; however, they would be employed working no hours. This directly impacted the total actual hours worked in August to October 2020. Since the average actual weekly hours are the average of all in employment, those temporarily absent from a job also impacted on those estimates. With the easing of lockdown restrictions in August and changes to the furlough scheme, the estimates show an increase for hours worked in August to October 2020 in comparison with the previous quarter, although the level is still well below pre-coronavirus levels.
Between May to July 2020 and August to October 2020, total actual weekly hours worked in the UK saw a record increase of 104.9 million, or 12.3%, to 960.0 million hours (Figure 4). There were record increases for both men’s and women’s total hours worked (up 56.8 million hours and 48.1 million hours respectively).
Average actual weekly hours worked saw a record increase of 3.3 hours on the quarter to 29.5 hours. The average weekly hours worked by men saw a record increase of 3.6 hours to 33.2 hours, while women’s hours saw a record increase of 3.1 hours to 25.5 hours.
Imputation used for the Labour Force Survey was not designed to deal with the changes experienced in the labour market in recent months. Experimental work with adjusted methodology suggests that during the early stages of lockdown we were understating the full extent of the reduction in hours. However, now that hours are increasing, this has reversed so that the experimental methodology now suggests the actual number of hours are approximately 2% higher than stated.Back to table of contents
Unemployment measures people without a job who have been actively seeking work within the last four weeks and are available to start work within the next two weeks. The unemployment rate is not the proportion of the total population who are unemployed. It is the proportion of the economically active population (those in work plus those seeking and available to work) who are unemployed.
Estimated unemployment rates for both men and women aged 16 years and over had generally been falling since late 2013 but have increased over recent periods (Figure 5).
For people aged 16 years and over, for August to October 2020:
- the estimated UK unemployment rate for all people was 4.9%; this is 1.2 percentage points higher than a year earlier and 0.7 percentage points higher than the previous quarter
- the estimated UK unemployment rate for men was 5.3%; this is 1.3 percentage points higher than a year earlier and 0.8 percentage points higher than the previous quarter
- the estimated UK unemployment rate for women was 4.6%; this is 1.0 percentage point higher than a year earlier and a joint record 0.6 percentage points higher than the previous quarter
The single-month and weekly estimates of the unemployment rate suggest that the rate has been increasing throughout the three-month period.
Imputation used for the Labour Force Survey (LFS) was not designed to deal with the changes experienced in the labour market in recent months. Experimental work with adjusted methodology suggests the use of the existing methodology has little impact on the unemployment rate (less than 0.1 percentage points). Further information can be found in the section on Measuring the data.
For August to October 2020, an estimated 1.69 million people were unemployed, up 411,000 on the same period the previous year and up 241,000 on the quarter. The annual increase was the largest since October to December 2009, with unemployment reaching its highest level since December 2015 to February 2016. There were quarterly increases for both men (up 138,000) and women (up a record 103,000) and there were increases across all age groups, from 16 to 64 years.
Looking in more detail at the increase in unemployment by age group (Figure 6):
- those aged 16 to 24 years increased by 124,000 on the year, and 29,000 on the quarter, to 596,000
- those aged 25 to 49 years increased by 171,000 on the year, and 106,000 on the quarter, to 688,000
- those aged 50 to 64 years increased by 111,000 on the year, and a record 99,000 on the quarter, to 378,000
The annual increase in unemployment is driven by those unemployed for up to six months, up 306,000 on the year to 1.09 million (Figure 7). This is the largest annual increase for the short-term unemployed since May to July 2009. However, those unemployed for over 12 months have also increased by 49,000 on the year, and a record 105,000 on the quarter, to 356,000.
To estimate duration of unemployment, Labour Force Survey (LFS) respondents are asked how long they have been looking for work. Respondents are unlikely to discount short periods where they were not looking for work from this. Consequently, the record quarterly increase in those unemployed for over 12 months is driven, in part, by those that briefly stopped looking for work in the earlier stages of the pandemic (and were therefore classified as economically inactive at that time) as they are likely to return to unemployment duration estimates in longer-term categories.
Looking at unemployment by industry of last job, there were increases for all industries between August to October 2019 and August to October 2020 (Figure 8). The largest increase was for those previously employed in accommodation and food service activities (up 58,000 on the year to 171,000). The second-largest increase was for those previously employed in manufacturing, up 51,000 on the year to 127,000. In August to October 2020, the highest unemployment level across all industries was for those previously employed in wholesale, retail and repair of motor vehicles, at 215,000.
The Claimant Count (Experimental Statistics)
The Claimant Count is an Experimental Statistic that seeks to measure the number of people claiming benefit principally for the reason of being unemployed.
To achieve this, the Claimant Count has generally been a count of the appropriate benefits within the UK’s current benefit regime that best meet that criteria. Currently this is a combination of claimants of Jobseeker’s Allowance (JSA) and claimants of Universal Credit (UC) who fall within the UC “searching for work” conditionality.
Those claiming unemployment-related benefits (either UC or JSA) may be wholly unemployed and seeking work, or may be employed but with low income and/or low hours, that make them eligible for unemployment-related benefit support.
Under UC a broader span of claimants became eligible for unemployment-related benefit than under the previous benefit regime. During the roll-out of UC since 2013, movements in the Claimant Count have been significantly affected by this expanding eligibility, rather than labour market conditions. This impact has led to the Claimant Count being reclassified to an Experimental Statistic.
As part of the UK government’s response to the coronavirus (COVID-19) pandemic, a number of enhancements and easements have been made to UC, which impact the statistics. In addition, claimants are accessing UC as a “top-up” to government support packages (such as the Coronavirus Job Retention Scheme and Self-Employment Income Support Scheme) to legitimately claim unemployment benefits whilst “furloughed”. A proportion of those claimants will be employed under the International Labour Organization (ILO) definition – furloughed, or with low earnings or hours of paid work.
Consequently, while some of any movement in the Claimant Count would be because of changes in the number of people who are out of work, a certain amount of the movement will be because of changes in the number of people in work who are eligible for UC as part of the government response. We are not able to identify to what extent these two factors have affected the numbers.
The Claimant Count increased slightly in November 2020 to 2.7 million (Figure 9). This represents a monthly increase of 2.5% and an increase of 114.8%, or 1.4 million, since March 2020.
Back to table of contents
Economic inactivity measures people without a job but who are not classed as unemployed because they have not been actively seeking work within the last four weeks and/or they are unable to start work within the next two weeks. Our headline measure of economic inactivity is for those aged between 16 and 64 years.
Since comparable records began in 1971, the economic inactivity rate for all people aged between 16 and 64 years has generally been falling (although it increased during recessions). This is because of a gradual fall in the economic inactivity rate for women. This fall reflects changes to the State Pension age, resulting in fewer women retiring between the ages of 60 and 65 years, as well as more women in younger age groups participating in the labour market. Over recent years, the economic inactivity rate for men has been relatively flat (Figure 10).
For people aged between 16 and 64 years, for August to October 2020:
- the estimated economic inactivity rate for all people was 20.8%; this is down by 0.1 percentage points on the same period the previous year but largely unchanged on the quarter
- the estimated economic inactivity rate for men was 17.1%; this is up by 0.8 percentage points on the same period the previous year and up by 0.4 percentage points on the quarter
- the estimated economic inactivity rate for women was at a record low of 24.4%; this is down by 0.9 percentage points on the same period the previous year and down by 0.4 percentage points on the quarter
Estimates for August to October 2020 show 8.60 million people aged between 16 and 64 years not in the labour force (economically inactive). This was 4,000 less than a year earlier and 2,000 less than the previous quarter. The small quarterly decrease was the result of a decrease for women (down 92,000 to a record low of 5.08 million) being offset almost entirely by a 90,000 increase for men (Figure 11), with the number of economically inactive men reaching the highest level since May to July 2011 (3.52 million).
Imputation used for the Labour Force Survey was not designed to deal with the changes experienced in the labour market in recent months. Experimental work with adjusted imputation methodology suggests the use of the existing methodology has little impact on the economic inactivity rate (less than 0.2 percentage points). Further information can be found in the section on Measuring the data.
In terms of the reason for economic inactivity (Figure 12), the quarterly decrease was driven by those looking after family or home, down 105,000 on the quarter to a record low of 1.60 million. This was largely offset by economically inactive students, up 104,000 on the quarter to 2.31 million.
In addition, the small quarterly decrease in economic inactivity was driven by a decrease in those who want a job, down 95,000 on the quarter, being almost entirely offset by an increase in the number of economically inactive people who did not want a job, up 93,000 on the quarter.Back to table of contents
The redundancy estimates measure the number of people who were made redundant or who took voluntary redundancy in the three months before the Labour Force Survey interviews; it does not take into consideration planned redundancies. So, in this release, the latest estimates may relate to redundancies over the period from the beginning of May to the end of October 2020.
The number of people reporting redundancy in the three months prior to interview increased in August to October 2020 by a record 251,000 on the year, and a record 217,000 on the quarter, to a record high of 370,000 (Figure 13).
Experimental weekly Labour Force Survey (LFS) estimates show that the number of people reporting redundancy in the three months prior to interview has been increasing since June 2020 and remains high in October but has dropped from the peak in September 2020 (Figure 14).
In August to October 2020, the overall redundancy rate, for people aged 16 years and over, was a record high of 13.3 per thousand employees. This was up from 4.3 per thousand in the same period a year earlier.
The redundancy rate increased for all age groups (Figure 15). Those aged 16 to 24 years had the highest redundancy rate of 16.2 per thousand (compared with 5.7 per thousand a year earlier) and those aged 35 to 49 years had the lowest redundancy rate of 11.0 per thousand (compared with 3.3 per thousand a year earlier).
Redundancy rates increased for most industries between August to October 2019 and August to October 2020 (Figure 16). The largest rates were seen in other services (32.6 per thousand), accommodation and food service activities (27.6 per thousand) and administrative and support services (24.2 per thousand). Other services include arts, entertainment and recreation, households as employers, and other service activities such as personal service activities and repair of computers, personal, and household goods. Redundancy rates for financial, insurance and real estate activities (6.2 per thousand), public administration and defence (2.8 per thousand), education (4.3 per thousand), and human health and social work activities (3.4 per thousand) were little changed over the year.
In the year to August to October 2020, the redundancy rate increased across all regions (Figure 17). The redundancy rate was highest in the East of England (16.6 per thousand, compared with 4.3 per thousand a year earlier) and the West Midlands (16.5 per thousand, compared with 5.1 per thousand a year earlier). The region with the lowest redundancy rate was Yorkshire and The Humber (7.6 per thousand, compared with 3.9 per thousand a year earlier).Back to table of contents
Employment, unemployment and economic inactivity
Dataset A05 SA | Released 15 December 2020
Estimates of UK employment, unemployment and economic inactivity broken down into age bands.
Full-time, part-time and temporary workers
Dataset EMP01 SA | Released 15 December 2020
Estimates of UK employment including a breakdown by sex, type of employment, and full-time and part-time working.
Actual weekly hours worked
Dataset HOUR01 SA | Released 15 December 2020
Estimates for the hours that people in employment work in the UK.
Unemployment by age and duration
Dataset UNEM01 SA | Released 15 December 2020
Estimates of unemployment in the UK including a breakdown by sex, age group and the length of time people are unemployed.
Economic inactivity by reason
Dataset INAC01 SA | Released 15 December 2020
Estimates of those not in the UK labour force measured by the reasons given for economic inactivity.
Labour Force Survey sampling variability
Dataset A11 | Released 15 December 2020
Labour Force Survey (LFS) sampling variability (95% confidence intervals).
Labour Force Survey single month estimates
Dataset X01 | Released 15 December 2020
Labour Force Survey (LFS) single-month estimates of employment, unemployment and economic inactivity have been published by the Office for National Statistics (ONS) since 2004. Not designated as National Statistics.
Labour Force Survey weekly estimates
Dataset X07 | Released 15 December 2020
Labour Force Survey (LFS) weekly estimates of employment, unemployment, economic inactivity and hours in the UK. All estimates are calculated from highly experimental weekly Labour Force Survey datasets.
Actual and usual hours worked
Statistics for usual hours worked measure how many hours people usually work per week. Compared with actual hours worked, they are not affected by absences and so can provide a better measure of normal working patterns. For example, a person who usually works 37 hours a week but who was on holiday for a week would be recorded as working zero actual hours for that week, while usual hours would be recorded as 37 hours.
People not in the labour force (also known as economically inactive) are not in employment but do not meet the internationally accepted definition of unemployment because they have not been seeking work within the last four weeks and/or are unable to start work in the next two weeks. The economic inactivity rate is the proportion of people aged between 16 and 64 years who are not in the labour force.
Employment measures the number of people in paid work or who had a job that they were temporarily away from (for example, because they were on holiday or off sick). This differs from the number of jobs because some people have more than one job. The employment rate is the proportion of people aged between 16 and 64 years who are in employment. A more detailed explanation is available in our guide to labour market statistics.
Unemployment measures people without a job who have been actively seeking work within the last four weeks and are available to start work within the next two weeks. The unemployment rate is not the proportion of the total population who are unemployed. It is the proportion of the economically active population (that is, those in work plus those seeking and available to work) who are unemployed.
A more detailed glossary is available.Back to table of contents
This bulletin relies on data collected from the Labour Force Survey (LFS), the largest household survey in the UK.
More quality and methodology information on strengths, limitations, appropriate uses, and how the data were created is available in the LFS QMI.
The LFS performance and quality monitoring reports provide data on response rates and other quality-related issues for the LFS.
For more information on how labour market data sources are affected by the coronavirus (COVID-19) pandemic, see the article published on 6 May 2020, which details some of the challenges that we have faced in producing estimates at this time.
An article published on 11 December 2020 compares our labour market data sources and discusses some of the main differences.
Our latest data and analysis on the impact of the coronavirus on the UK economy and population are available on our dedicated coronavirus web page. This is the hub for all special coronavirus-related publications, drawing on all available data. In response to the developing coronavirus pandemic, we are working to ensure that we continue to publish economic statistics. For more information, please see COVID-19 and the production of statistics.
Impact of the coronavirus on data collection
The LFS design is based on interviewing households over five consecutive quarters. Generally, the first of these interviews, called Wave 1, takes place face-to-face, with most subsequent interviews, for Waves 2 to 5, conducted by telephone.
During March, we stopped conducting face-to-face interviews, instead switching to using telephone interviewing exclusively for all waves. This initially caused a significant drop in response.
New measures have been introduced to improve this, which have increased sample sizes, although they are still below normal LFS sample sizes.
Impact of the coronavirus on survey imputation methodology
The normal imputation for non-response to the LFS relies on rolling forward previous responses. Although this method is adequate under normal circumstances, it is not designed to deal with the changes experienced in the labour market in recent months. A new experimental imputation methodology has been researched to improve the measurement of the labour market at this time.
Because of time and system constraints, it has not been possible to fully integrate this methodology into the results within this release, but early indications suggest that:
- there is little impact from the use of existing methodology on the headline measures of employment, unemployment and economic inactivity (less than 0.2 percentage points)
- measures relating to hours in this release understate the increase in the actual number of hours worked by approximately 2%
We hope to include more information in later releases as this work develops.
Impact of the coronavirus on survey weighting methodology
Because of the impact on data collection, different weeks throughout the quarter have different achieved sample sizes. To mitigate this impact on estimates the weighting methodology was enhanced to include weekly calibration to ensure that samples from each week had roughly equal representation within the overall three-month estimate. This meant that any impacts seen from changes in the labour market in those weeks would be fully represented within the estimates.
Because of the suspension of face-to-face interviewing in March 2020, we had to make operational changes to the LFS, particularly in the way that we contact households for initial interview, which moved to a “by telephone” approach. These changes have resulted in a response where certain characteristics have not been as well represented as previously. This is evidenced in a change in the balance of type of household that we are reaching. In particular, the proportion of households where people own their homes in the sample has increased and rented accommodation households has decreased.
To mitigate the impact of this non-response bias we have introduced housing tenure into the LFS weighting methodology for periods from January to March 2020 onwards. While not providing a perfect solution, this has redressed some of the issues that had previously been noted in the survey results. More information can be found in an article Coronavirus and its impact on the Labour Force Survey.
Impact of government measures to protect businesses on the Labour Force Survey estimates
During late March, the government announced a number of measures to protect UK businesses. This included the Coronavirus Job Retention Scheme (CJRS), also referred to as furloughing, and the Self-Employment Income Support Scheme (SEISS).
The Office for National Statistics (ONS) classifies people within the labour market in line with International Labour Organization (ILO) definitions. Under the ILO definition, employment includes employed persons “at work”, that is, those who worked in a job for at least one hour; and employed persons “not in work” because of temporary absence from a job, or a change to working time arrangements.
Under the current schemes it is likely that workers would have an expectation of returning to that job and would consider the absence from work as temporary. Therefore, those people absent from work under the current schemes would generally be classified as employed under ILO definitions.
In many cases, however, they would be employed but not in work. This absence would have an impact on the total hours worked. This would also be reflected in the average actual hours worked, which are based on the average hours per person employed, rather than the average hours per person at work. While actual hours would be significantly affected, there is unlikely to be any impact on usual hours, which would reflect normal working patterns.
End of EU exit transition period
After the transition period ends on 31 December 2020, the UK statistical system will continue to collect and produce our wide range of economic and social statistics. We are committed to continued alignment with international statistical standards, enabling comparability both over time and internationally and we will work with users of statistics to make sure they have the data they need to support the decisions they have to make.
As the shape of the UK’s future statistical relationship with the EU becomes clearer over the coming period, the ONS is making preparations to assume responsibilities that as part of our membership of the EU, and during the transition period, were delegated to the statistical office of the EU, Eurostat. This includes responsibilities relating to international comparability of economic statistics, deciding what international statistical guidance to apply in the UK context and to provide further scrutiny of our statistics and sector classification decisions.
In applying international statistical standards and best practice to UK economic statistics, we will draw on the technical advice of experts in the UK and internationally, and our work will be underpinned by the UK’s well-established and robust framework for independent official statistics, set out in the Statistics and Registration Service Act 2007. Further information on our proposals will be made available in early 2021.
We will continue to produce our labour market statistics in line with the UK Statistics Authority's Code of Practice for Statistics and in accordance with International Labour Organization (ILO) definitions and agreed international statistical guidance.Back to table of contents
Uncertainty in these data
The estimates presented in this bulletin contain uncertainty.
The figures in this bulletin come from the Labour Force Survey (LFS), which gathers information from a sample of households across the UK rather than from the whole population. The sample is designed to be as accurate as possible given practical limitations such as time and cost constraints. Results from sample surveys are always estimates, not precise figures. This can have an impact on how changes in the estimates should be interpreted, especially for short-term comparisons.
As the number of people available in the sample gets smaller, the variability of the estimates that we can make from that sample size gets larger. Estimates for small groups (for example, unemployed people aged between 16 and 17 years), which are based on small subsets of the LFS sample, are less reliable and tend to be more volatile than for larger aggregated groups (for example, the total number of unemployed people).
In general, changes in the numbers (and especially the rates) reported in this bulletin between three-month periods are small and are not usually greater than the level that can be explained by sampling variability. Short-term movements in reported rates should be considered alongside longer-term patterns in the series and corresponding movements in other sources to give a fuller picture.
The data in this bulletin follow internationally accepted definitions specified by the International Labour Organization (ILO). This ensures that the estimates for the UK are comparable with those for other countries.
An annual reconciliation report of job estimates is published every March comparing the latest workforce jobs (WFJ) estimates with the equivalent estimates of jobs from the Labour Force Survey (LFS).
The concept of employment (measured by the LFS as the number of people in work) differs from the concept of jobs, since a person can have more than one job and some jobs may be shared by more than one person. The LFS, which collects information mainly from residents of private households, is the preferred source of statistics on employment. The WFJ series, which is compiled mainly from surveys of businesses, is the preferred source of statistics on jobs by industry, since it provides a more reliable industry breakdown than the LFS. During the coronavirus (COVID-19) pandemic, the LFS and WFJ series may have additional differences because a person’s perception of their attachment to a job may differ from the business’s perception of that job. It is also important to note that the LFS is based on interviews throughout the coverage period, whereas the WFJ series relates to a specific date. This difference can be significant in a labour market that is experiencing rapid changes.
Further information is available in A guide to labour market statistics.
|Employment (000s, |
aged 16+ )
|32,522||± 205||-144||± 174||-280||± 259|
(aged 16 to 64)
|75.2||± 0.5||-0.5||± 0.4||-0.9||± 0.6|
|Average weekly hours||29.5||± 0.2||3.3||± 0.2||-2.7||± 0.3|
|1,692||± 97||241||± 99||411||± 118|
|4.9||± 0.3||0.7||± 0.3||1.2||± 0.3|
|Economically active |
(000s, aged 16+)
|34,213||± 193||97||± 168||131||± 246|
|Economic activity rate|
(aged 16 to 64)
|79.2||± 0.4||0.0||± 0.4||0.1||± 0.5|
(000s, aged 16 to 64)
|8,602||± 179||-2||± 155||-4||± 226|
|Economic inactivity rate|
(aged 16 to 64)
|20.8||± 0.4||0.0||± 0.4||-0.1||± 0.5|
(000s, aged 16+)
|370||± 41||217||± 48||251||± 46|
Download this table Table 1: Labour Force Survey sampling variability.xls .csv
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