1. Other pages in this release
Commentary on topics covered in the previous Labour market statistics bulletin is now split into four separate bulletins. This is part of our ongoing work to improve bulletins. Other commentary from the latest labour market data can be found on the following pages:
Back to table of contents2. Main points for November 2018 to January 2019
The UK employment rate was estimated at 76.1%, higher than for a year earlier (75.3%) and the highest figure on record.
The UK unemployment rate was estimated at 3.9%; it has not been lower since November 1974 to January 1975.
The UK economic inactivity rate was estimated at 20.7%, lower than for a year earlier (21.2%) and the lowest figure on record.
Excluding bonuses, average weekly earnings for employees in Great Britain were estimated to have increased by 3.4%, before adjusting for inflation, and by 1.4%, after adjusting for inflation, compared with a year earlier.
Including bonuses, average weekly earnings for employees in Great Britain were estimated to have increased by 3.4%, before adjusting for inflation, and by 1.5%, after adjusting for inflation, compared with a year earlier.
The data in this bulletin come from surveys of households and businesses. It is not possible to survey every household and business each month, so these statistics are estimates based on samples.
3. Analysis
Employment
Figure 1: Overall employment rate reaches new record high of 76.1%
UK employment rates (aged 16 to 64 years), seasonally adjusted, January to March 1971 to November 2018 to January 2019
Source: Office for National Statistics – Labour Force Survey
Download this chart Figure 1: Overall employment rate reaches new record high of 76.1%
Image .csv .xlsEmployment measures the number of people aged 16 years and over in paid work. The employment rate is the proportion of people aged from 16 to 64 years who are in paid work.
Estimated employment rates for both men and women have been generally increasing since early 2012. For November 2018 to January 2019, the employment rate:
for all people was estimated at 76.1%, the highest since comparable records began in 1971
for men was estimated at 80.5%; it has not been higher since December 1990 to February 1991
for women was estimated at 71.8%, the highest since comparable records began in 1971
The increase in the employment rate for women over the last few years has been due partly to changes to the State Pension age for women, resulting in fewer women retiring between the ages of 60 and 65 years.
Estimates for November 2018 to January 2019 show 32.71 million people aged 16 years and over in employment, 473,000 more than for a year earlier. This estimated annual increase of 473,000 was due mainly to more people working full-time (up 424,000 on the year to reach 24.12 million). Part-time working also contributed with an increase of 49,000 on the year to reach 8.60 million.
Unemployment
Figure 2: Unemployment rates have been generally falling for the last five years
UK unemployment rates (aged 16 years and over), seasonally adjusted, January to March 1971 to November 2018 to January 2019
Source: Office for National Statistics – Labour Force Survey
Download this chart Figure 2: Unemployment rates have been generally falling for the last five years
Image .csv .xlsUnemployment 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 the proportion of all employed and unemployed people (not the proportion of the total population) who are unemployed.
The unemployment rates for men and women aged 16 years and over have been generally falling since late 2013.
For November 2018 to January 2019, the unemployment rate:
for everyone aged 16 years and over was estimated at 3.9%; it has not been lower since November 1974 to January 1975
for men was estimated at 4.0%; it has not been lower since April to June 1975
for women was estimated at 3.8%, the lowest since comparable records began in 1971
For November 2018 to January 2019 an estimated 1.34 million people were unemployed, 112,000 fewer than for a year earlier. There have not been fewer unemployed people in the UK since October to December 1975.
Economic inactivity
Figure 3: Economic inactivity for women has been generally falling since records began in 1971
UK economic inactivity rates (aged 16 to 64 years), seasonally adjusted, January to March 1971 to November 2018 to January 2019
Source: Office for National Statistics – Labour Force Survey
Download this chart Figure 3: Economic inactivity for women has been generally falling since records began in 1971
Image .csv .xlsEconomic 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 from 16 to 64 years.
Since comparable records began in 1971, the economic inactivity rate for all people aged from 16 to 64 years has been generally falling (although it increased during economic downturns), due to a gradual fall in the economic inactivity rate for women.
For people aged from 16 to 64 years, for November 2018 to January 2019:
the economic inactivity rate for all people was estimated at 20.7%, the lowest figure since comparable records began in 1971
the inactivity rate for men was estimated at 16.0%; it has not been lower since May to July 2003
the inactivity rate for women was estimated at 25.3%, the lowest figure since comparable records began in 1971
Estimates for November 2018 to January 2019 showed 8.55 million people aged from 16 to 64 years not in the labour force (economically inactive), 194,000 fewer than for a year earlier and the lowest since January to March 1993. Of these, 3.29 million were men (116,000 fewer than for a year earlier) and 5.26 million were women (78,000 fewer than for a year earlier).
Earnings growth
Figure 4: Pay for employees (including bonuses) increased by 1.5% on the year when adjusted for inflation
Great Britain average weekly earnings annual growth rates, seasonally adjusted, January to March 2001 to November 2018 to January 2019
Source: Office for National Statistics – Monthly Wages and Salaries Survey
Download this chart Figure 4: Pay for employees (including bonuses) increased by 1.5% on the year when adjusted for inflation
Image .csv .xlsThe earnings estimates are not just a measure of pay rises as they also reflect changes in the number of paid hours worked and changes in the structure of the workforce; for example, more high-paid jobs would have an upward effect on earnings growth rates.
Earnings in real terms (that is, adjusted for inflation) is calculated as nominal earnings (that is, not adjusted for inflation), deflated by the Consumer Prices Index including owner occupiers’ housing costs (CPIH).
Between November 2017 to January 2018 and November 2018 to January 2019, for employees in Great Britain:
regular pay was estimated to have increased by 3.4% in nominal terms and by 1.4% in real terms
total pay was estimated to have increased by 3.4% in nominal terms and by 1.5% in real terms
Vacancies
Figure 5: The number of vacancies in the UK has been generally increasing since 2012
Number of vacancies in the UK, seasonally adjusted, April to June 2001 to December 2018 to February 2019
Source: Office for National Statistics – Vacancy Survey
Download this chart Figure 5: The number of vacancies in the UK has been generally increasing since 2012
Image .csv .xlsThe estimated number of vacancies in the UK fell sharply during the recession of 2008 to 2009 but has increased steadily since 2012. For December 2018 to February 2019 there were an estimated 854,000 vacancies in the UK, 39,000 more than a year earlier.
Back to table of contents4. Data
The Bank of England was granted exceptional pre-release access to the data in this bulletin at 9:30am on Monday 18 March 2019 so that it was available for the Monetary Policy Committee meeting held on that day. Correspondence between ourselves and the Bank of England is available.
Summary of labour market statistics
Dataset A01 | Released 19 March 2019
Estimates of employment, unemployment and other employment-related statistics for the UK.
Employment, unemployment and economic inactivity
Dataset A02 SA | Released 19 March 2019
Estimates of UK employment, unemployment and inactivity for people aged 16 years and over and people aged from 16 to 64 years based on the Labour Force Survey.
Average weekly earnings
Dataset EARN01 | Released 19 March 2019
Estimates of Great Britain earnings growth based on the Monthly Wages and Salaries Survey.
Vacancies by industry
Dataset VACS02 | Released 19 March 2019
Monthly estimates on the number of UK job vacancies for each industry based on a survey of businesses.
Estimate (seasonally adjusted) | Sampling variability of estimate¹ | Change on quarter | Sampling variability of change on quarter¹ | Change on year | Sampling variability of change on year¹ | |
---|---|---|---|---|---|---|
Employment (000s, aged 16 years and over ) | 32,714 | ± 175 | 222 | ± 149 | 473 | ± 234 |
Employment rate (aged 16 to 64 years) | 76.1% | ± 0.4 | 0.4 | ± 0.3 | 0.8 | ± 0.5 |
Unemployment (000s, aged 16 years and over) | 1,338 | ± 69 | -35 | ± 76 | -112 | ± 96 |
Unemployment rate (aged 16 years and over) | 3.9% | ± 0.2 | -0.1 | ± 0.2 | -0.4 | ± 0.3 |
Economically inactive (000s, aged 16 to 64 years) | 8,549 | ± 154 | -117 | ± 133 | -194 | ± 205 |
Economic inactivity rate (aged 16 to 64 years) | 20.7% | ± 0.4 | -0.3 | ± 0.3 | -0.5 | ± 0.5 |
Download this table Table 1: Summary of UK employment estimates for November 2018 to January 2019, seasonally adjusted
.xls .csv
Annual growth rate (estimate) | Sampling variability of growth rate¹ | |
---|---|---|
Total pay (nominal) | 3.4 | ± 0.5 |
Total pay (real) | 1.5 | |
Regular pay (nominal) | 3.4 | ± 0.5 |
Regular pay (real) | 1.4 |
Download this table Table 2: Summary of employee earnings, Great Britain, November 2018 to January 2019, seasonally adjusted
.xls .csv5. Glossary
Employment
Employment measures the number of people in paid work and differs from the number of jobs because some people have more than one job. The employment rate is the proportion of people aged from 16 to 64 years who are in paid work.
Unemployment
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.
Economic inactivity
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 they are unable to start work in the next two weeks. The economic inactivity rate is the proportion of people aged from 16 to 64 years who are not in the labour force.
Average weekly earnings
Average weekly earnings measures money paid by employers to employees in Great Britain before tax and other deductions from pay. The estimates are not just a measure of pay rises as they also reflect, for example, changes in the overall structure of the workforce. More high-paid jobs in the economy would have an upward effect on the earnings growth rate.
Vacancies
Vacancies are defined as positions for which employers are actively seeking recruits from outside their business or organisation. The estimates are based on the Vacancy Survey – a survey of businesses designed to provide estimates of the stock of vacancies across the economy, excluding agriculture, forestry and fishing (a small sector for which the collection of estimates would not be practical).
A more detailed Glossary is available.
Back to table of contents6. Measuring the data
The employment, unemployment and economic inactivity estimates rely on data collected from the Labour Force Survey (a survey run by field interviewers with people across the UK every month).
The Labour Force Survey performance and quality monitoring reports provide data on response rates and other quality-related issues for the Labour Force Survey (LFS), including breakdowns of response by LFS wave, region and by question-specific response issues.
The average weekly earnings and vacancies estimates rely on data collected from surveys of employers.
The following Quality and Methodology Information (QMI) reports pull together important qualitative information on the various dimensions of data quality, as well as providing a summary of the methods used to compile the output:
Back to table of contents7. Strengths and limitations
Accuracy of the statistics: estimating and reporting uncertainty
The figures in this bulletin come from surveys, which gather information from a sample 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 from 16 to 17 years), which are based on quite small subsets of the Labour Force Survey 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.
Further information is available in A guide to labour market statistics.
Where to find data about uncertainty and reliability
Dataset A11 shows sampling variabilities for estimates derived from the Labour Force Survey.
Sampling variability information for average weekly earnings growth rates is available from the “Sampling Variability” worksheets within datasets EARN01 and EARN03.
The sampling variability of the three-month average vacancies level is around plus or minus 1.5% of that level.
Information on revisions is available in the labour market statistics revisions policy.
Back to table of contents8. Articles about the labour market
International immigration and the labour market
Bulletin | Released 12 April 2017
The labour market characteristics of UK, EU and non-EU nationals in the UK labour market in 2016.
Trends in self-employment in the UK
Article | Released 7 February 2018
Analysing the characteristics, income and wealth of the self-employed.
Sickness absence in the labour market
Article | Released 30 July 2018
The latest figures for 2017 show that the average number of sickness absence days that UK workers take has almost halved since 1993.
People who have never worked
Article | Released 28 February 2019
Analysis of the number of people who have never done paid work, their reasons for not working and some of their personal characteristics.
9. You might also be interested in
Labour market economic commentary
Article | Released 19 March 2019
Additional economic analysis of the latest UK labour market headline statistics and long-term trends.
Regional labour market statistics
Bulletin | Released 19 March 2019
Regional breakdowns of changes in UK employment, unemployment and economic inactivity.
Young people not in education, employment or training (NEET)
Bulletin | Released 28 February 2019
Estimates of people in the UK aged 16 to 24 years who are not in education, employment or training.
Working and workless households in the UK
Bulletin | Released 6 March 2019
The economic status of households in the UK and the people living in them, in households where at least one person is aged 16 to 64 years.