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Statistical bulletin: UK Labour Market, December 2014 This product is designated as National Statistics

Released: 17 December 2014 Download PDF

Key Points for August to October 2014

  • Comparing the estimates for August to October 2014 with those for May to July 2014, employment continued to rise and unemployment continued to fall. These changes maintain the general direction of movement since late 2011/early 2012.
  • There were 30.80 million people in work. This was 115,000 more than for May to July 2014 and 588,000 more than for a year earlier.
  • The proportion of people aged from 16 to 64 in work (the employment rate), was 73.0%, higher than for May to July 2014 (72.8%) and higher than for a year earlier (71.8%).
  • There were 22.54 million people working full-time, 560,000 more than for a year earlier. There were 8.25 million people working part-time, 28,000 more than for a year earlier.
  • There were 1.96 million unemployed people. This was 63,000 fewer than for May to July 2014, the smallest quarterly fall since July to September 2013. Comparing August to October 2014 with a year earlier, there were 455,000 fewer unemployed people.
  • The unemployment rate was 6.0%, lower than for May to July 2014 (6.2%) and lower than for a year earlier (7.4%). The unemployment rate is the proportion of the economically active population (those in work plus those seeking and available to work) who were unemployed.
  • There were 9.06 million people aged from 16 to 64 who were out of work and not seeking or available to work (known as economically inactive). This was little changed compared with May to July 2014 and with a year earlier.
  • The inactivity rate was 22.3%, unchanged from May to July 2014 and from a year earlier.
  • Comparing August to October 2014 with a year earlier, pay for employees in Great Britain increased by 1.4% including bonuses and by 1.6% excluding bonuses.

(i) Summary of latest Labour Market Statistics

Table A shows the latest estimates, for August to October 2014, for employment, unemployment and economic inactivity and shows how these estimates compare with the previous quarter (May to July 2014) and the previous year (August to October 2013). Comparing August to October 2014 with May to July 2014 provides a more robust short-term comparison than the change between July to September and August to October. See Making Comparisons with earlier data at Section (ii).

Table A: Summary of latest estimates for August to October 2014, seasonally adjusted

  Number (thousands) Change on May-Jul 2014 Change on Aug-Oct 2013 Headline Rate (%) Change on May-Jul 2014 Change on Aug-Oct 2013
             
Employed 30,796 115 588
  Aged 16-64 29,655 87 525 73.0 0.2 1.1
  Aged 65+ 1,141 28 63
             
Unemployed 1,958 -63 -455 6.0 -0.2 -1.4
  Aged 16-64 1,938 -61 -450
  Aged 65+ 20 -2 -5
             
Inactive 18,964 31 206
  Aged 16-64 9,056 -2 9 22.3 0.0 0.0
  Aged 65+ 9,908 33 197

Table source: Office for National Statistics

Table notes:

  1. Calculation of headline employment rate: Number of employed people aged from 16 to 64 divided by the population aged from 16 to 64. Population is the sum of employed plus unemployed plus inactive.

  2. Calculation of headline unemployment rate: Number of unemployed people aged 16 and over divided by the sum of employed people aged 16 and over plus unemployed people aged 16 and over.

  3. Calculation of headline economic inactivity rate: Number of economically inactive people aged from 16 to 64 divided by the population aged from 16 to 64. Population is the sum of employed plus unemployed plus inactive.

  4. Components may not sum exactly to totals due to rounding.

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Comparing August to October 2014 with May to July 2014, the number of:

  • people in employment increased by 115,000 (to 30.80 million),

  • unemployed people fell by 63,000 (to 1.96 million), and

  • people aged from 16 to 64 who were out of work but not seeking or available to work (economically inactive) was little changed (at 9.06 million).

Comparing August to October 2014 with August to October 2013, the number of:

  • people in employment increased by 588,000,

  • unemployed people fell by 455,000, and

  • people aged from 16 to 64 who were out of work but not seeking or available to work (economically inactive) was little changed.

Chart A: Changes in the number of people in the labour market, seasonally adjusted

Chart A: Changes in the number of people in the labour market, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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(ii) Understanding and working with Labour Market Statistics

Where to find explanatory information

Explaining the concepts of employment, unemployment and economic inactivity is available on the website as a short video.

Interpreting Labour Market statistics, available on the website, is designed to help users interpret labour market statistics and highlight some common misunderstandings.

A more detailed Guide to Labour Market Statistics, which expands on “Interpreting Labour Market Statistics” and includes a Glossary, is also available.

About labour market statuses

Everybody aged 16 or over is either employed, unemployed or economically inactive. The employment estimates include all people in work including those working part-time. People not working are classed as unemployed if they have been looking for work within the last four weeks and are able to start work within the next two weeks. A common misconception is that the unemployment statistics are a count of people on benefits; this is not the case as they include unemployed people not claiming benefits.

Jobless people who have not been looking for work within the last four weeks or who are unable to start work within the next two weeks are classed as economically inactive. Examples of economically inactive people include people not looking for work because they are students, looking after the family or home, because of illness or disability or because they have retired.

Making comparisons with earlier data

The most robust estimates of short-term movements in the labour market are obtained by comparing the estimates for August to October 2014 with the estimates for May to July 2014, which were first published on 17 September 2014 and were revised on 15 October 2014. This provides a more robust estimate than comparing with the estimates for July to September 2014. This is because the August and September data are included within both estimates, so effectively observed differences are those between the individual months of July and October 2014. The Labour Force Survey, from which these estimates are derived, is sampled such that it is representative of the UK population over a three month period, not for single month periods.

Accuracy and reliability of survey estimates

Most of the figures in this Statistical Bulletin come from surveys of households or businesses. Surveys gather information from a sample rather than from the whole population. The sample is designed carefully to allow for this, and to be as accurate as possible given practical limitations such as time and cost constraints, but results from sample surveys are always estimates, not precise figures. This means that they are subject to a margin of error which can have an impact on how changes in the numbers should be interpreted, especially in the short-term.

Changes in the numbers reported in this Statistical Bulletin (and especially the rates) between three month periods are usually not greater than the margin of error. In practice, this means that small, short-term movements in reported rates (for example within +/- 0.3 percentage points) should be treated as indicative, and considered alongside medium and long-term patterns in the series and corresponding movements in administrative sources, where available, to give a fuller picture.

Further information is available in the Accuracy of the Statistics: Estimating and Reporting Uncertainty section of this Statistical Bulletin.

Seasonal adjustment

All estimates discussed in this Statistical Bulletin are seasonally adjusted except where otherwise stated. Like many economic indicators, the labour market is affected by factors that tend to occur at around the same time every year; for example school leavers entering the labour market in July and whether Easter falls in March or April. In order to compare movements other than annual changes in labour market statistics, such as since the previous quarter or since the previous month, the data are seasonally adjusted to remove the effects of seasonal factors and the arrangement of the calendar. 

  

 

 

 

 

 

 

 

 

 

 

 

 

 

(iii) Detailed Commentary

This section of the Statistical Bulletin consists of the following parts.

People in Work

   1. Employment

   2. Public and Private Sector Employment

   3. Employment by Nationality and Country of Birth

   4. Actual Hours Worked

   5. Workforce Jobs

   6. Average Weekly Earnings

   7. Labour Disputes

People not in Work

   8. Unemployment

   9. Claimant Count

   10. Comparison between Unemployment and the Claimant Count

   11. Economic Inactivity

Other Labour Market Statistics

   12. Young People in the Labour Market

   13. Redundancies

   14. Vacancies

   15. Key Out of Work Benefits

 

 

 

1. Employment

What is employment ?

Employment measures the number of people in work and differs from the number of jobs because some people have more than one job. Further information is available at Notes for Employment at the end of this section.

Explaining the concepts of employment, unemployment and economic inactivity is available on the website as a short video.

A comparison between estimates of employment and jobs is available in an article on the website.

Where to find data about employment

Employment estimates are available at Tables 1 and 3 of the pdf version of this Statistical Bulletin and at data tables A02 (1.44 Mb Excel sheet) and EMP01 (1.35 Mb Excel sheet) .

Where to find more information about employment

An article looking at self-employed workers in the UK was published on 20 August 2014.

Commentary

The proportion of people aged from 16 to 64 in work is known as the employment rate. Chart 1.1 shows the employment rate for people aged from 16 to 64 since comparable records began in 1971. The chart shows that the lowest employment rate was 65.6% in 1983, during the economic downturn of the early 1980s. The employment rate for the latest time period, August to October 2014, was 73.0%, which was 0.2 percentage points lower than the record high of 73.2% recorded for December 2004 to February 2005.

Chart 1.1: Employment rate (aged 16 to 64) from January-March 1971 to August-October 2014, seasonally adjusted

Chart 1.1: Employment rate (aged 16 to 64) from January-March 1971 to August-October 2014, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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Chart 1.2 looks in more detail at the employment rate for the last five years.

Chart 1.2: Employment rate (aged 16 to 64), seasonally adjusted

Chart 1.2: Employment rate (aged 16 to 64), seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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73.0% of people aged from 16 to 64 were in work for August to October 2014. This was:

  • up from 72.8% for May to July 2014,

  • up from 71.8% for a year earlier, and

  • equal to the pre-downturn peak of 73.0% recorded for early 2008.

Looking at employment rates by sex, for August to October 2014, 77.9% of men and 68.1% of women aged from 16 to 64 were in work. These employment rates for men and women were higher than those for May to July 2014 and for a year earlier. The employment rate for men was lower than before the 2008/09 downturn, when it peaked at 79.1% in late 2007/early 2008. However the employment rate for women was the joint highest since comparable records began in 1971.

There were 30.80 million people in work for August to October 2014, 115,000 more than for May to July 2014 and 588,000 more than a year earlier.

Looking at type of employment, between August to October 2013 and August to October 2014, as shown in Chart 1.3 the number of:

  • employees working full-time increased by 421,000 to reach 19.22 million,

  • employees working part-time fell by 20,000 to reach 6.81 million,

  • self-employed people working full-time increased by 160,000 to reach 3.25 million,

  • self-employed people working part-time increased by 79,000 to reach 1.28 million,

  • unpaid family workers was little changed at 115,000 (see Note 2 at the end of this section for an explanation of the coverage of this series), and

  • people on government supported training and employment programmes decreased by 51,000 to reach 117,000 (see Note 3 at the end of this section for an explanation of the coverage of this series).

Chart 1.3: Changes in people in employment between August to October 2013 and August to October 2014, seasonally adjusted

Chart 1.3: Changes in people in employment between August to October 2013 and August to October 2014, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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Notes for Employment

  1. Employment consists of employees, self-employed people, unpaid family workers and people on government supported training and employment programmes.

  2. Unpaid family workers are people who work in a family business who do not receive a formal wage or salary but benefit from the profits of that business.

  3. The government supported training and employment programmes series does not include all people on these programmes; it only includes people engaging in any form of work, work experience or work-related training who are not included in the employees or self-employed series. People on these programmes NOT engaging in any form of work, work experience or work-related training are not included in the employment estimates; they are classified as unemployed or economically inactive.

 

2. Public and Private Sector Employment

What is public and private sector employment ?

Public sector employment measures the number of people in paid work in the public sector. The public sector comprises central government, local government and public corporations. Estimates of public sector employment are obtained from information provided by public sector organisations.

Private sector employment is estimated as the difference between total employment, sourced from the Labour Force Survey, and public sector employment.

Where to find data about public and private sector employment

Public and private sector employment estimates are available at Tables 4 and 4(1) of the pdf version of this Statistical Bulletin and at data tables EMP02 (48 Kb Excel sheet) and EMP03 (40.5 Kb Excel sheet) .

Further information on public sector employment is available in the Public Sector Employment release.

Commentary

There were 5.41 million people employed in the public sector for September 2014. This was 7,000 fewer than for June 2014 and the lowest figure since comparable records began in 1999.

There were 25.38 million people employed in the private sector for September 2014, 121,000 more than for June 2014.

Between September 2013 and September 2014, the number of people employed in the public sector fell by 302,000 and the number of people employed in the private sector increased by 890,000. These large annual movements in public and private sector employment were partly due to the reclassifications of Royal Mail plc (in December 2013) and Lloyds Banking Group plc (in March 2014). Excluding the effects of these reclassifications, public sector employment fell by 49,000 and private sector employment increased by 637,000 between September 2013 and September 2014.

For September 2014, 82.4% of people in employment worked in the private sector and the remaining 17.6% worked in the public sector.

Chart 2.1 shows public sector employment as a percentage of all people in employment for the last five years.

Chart 2.1: Public sector employment as a percentage of total employment, seasonally adjusted

Chart 2.1: Public sector employment as a percentage of total employment, seasonally adjusted
Source: Quarterly Public Sector Employment Survey - Office for National Statistics

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The number of people employed in the public sector has been generally falling since March 2010. Quarterly estimates of public and private sector employment are available back to 1999. Comparisons of public and private sector employment over time are complicated by a number of changes to the composition of these sectors over this period with several large employers moving between the public and private sectors. ONS therefore publishes estimates of public and private sector employment excluding the effects of major reclassifications alongside estimates of total public and private sector employment at Table 4 of the pdf version of this Statistical Bulletin and at data table EMP02 (48 Kb Excel sheet) .

3. Employment by Nationality and Country of Birth, not seasonally adjusted (first published on 12 November 2014)

What is employment by nationality and country of birth ?

The estimates of employment by both nationality and country of birth relate to the number of people in employment rather than the number of jobs. Changes in the series therefore show net changes in the number of people in employment, not the proportion of new jobs that have been filled by UK and non-UK workers. These estimates should not be used as a proxy for flows of foreign migrants into the UK.

The estimates are not seasonally adjusted and it is therefore best practice to compare the estimates for July to September 2014 with those for a year earlier rather than with those for April to June 2014.

Where to find data about employment by nationality and country of birth

Estimates of employment by nationality and country of birth are available at Table 8 of the pdf version of this Statistical Bulletin and at data table EMP06 (183 Kb Excel sheet) .

Commentary

Looking at the estimates by nationality, between July to September 2013 and July to September 2014, the number of:

  • UK nationals working in the UK increased by 445,000 to reach 27.97 million, and

  • non-UK nationals working in the UK increased by 230,000 to reach 2.90 million.

For July to September 2014, there were 4.75 million people born abroad working in the UK, but the number of non-UK nationals working in the UK was much lower at 2.90 million. This is because the estimates for people born abroad working in the UK include some UK nationals. Looking at the estimates by country of birth, between July to September 2013 and July to September 2014, the number of:

  • UK born people working in the UK increased by 388,000 to reach 26.13 million, and

  • non-UK born people working in the UK increased by 312,000 to reach 4.75 million.

Chart 3.1: Employment by nationality and country of birth, changes between July to September 2013 and July to September 2014, not seasonally adjusted

Chart 3.1: Employment by nationality and country of birth, changes between July to September 2013 and July to September 2014, not seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

Notes:

  1. Between July to September 2013 and July to September 2014, the total number of people in employment increased by 692,000.
  2. Changes in the UK and non-UK estimates may not sum exactly to changes in the total number of people in employment because some people do not state their country of birth or nationality in their Labour Force Survey interviews.

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Estimates of employment by nationality and country of birth are available back to 1997. For January to March 1997 there were 928,000 non-UK nationals working in the UK (3.5% of all people working in the UK). For July to September 2014, there were 2.90 million non-UK nationals working in the UK (9.4% of all people working in the UK). This increase in the number of non-UK nationals working in the UK since 1997 partly reflects the admission of several new member states to the European Union.

 

 

4. Actual Hours Worked

What is actual hours worked ?

Actual hours worked measures the number of hours worked in the economy. Changes in actual hours worked reflect changes in the number of people in employment and the average hours worked by those people.

Where to find data about hours worked

Hours worked estimates are available at Tables 7 and 7(1) of the pdf version of this Statistical Bulletin and at data tables HOUR01 (482.5 Kb Excel sheet) and HOUR02 (1.68 Mb Excel sheet) .

Commentary

Total hours worked per week were 991.6 million for August to October 2014. This was:

  • 6.8 million (0.7%) more than for May to July 2014,

  • 22.5 million (2.3%) more than a year earlier, and

  • 72.3 million (7.9%) more than five years previously.

Chart 4.1 shows total hours worked for the last five years.

Chart 4.1: Total hours worked per week, seasonally adjusted

Chart 4.1: Total hours worked per week, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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For August to October 2014:

  • People working full-time worked, on average, 37.6 hours per week in their main job.

  • People working part-time worked, on average, 16.1 hours per week in their main job.

  • These average hours worked estimates were virtually unchanged compared with a year earlier.

 

 

5. Workforce Jobs

What is Workforce Jobs ?

Workforce jobs measures the number of filled jobs in the economy. The estimates are mainly sourced from employer surveys. Workforce jobs is a different concept from employment, which is sourced from the Labour Force Survey, as employment is an estimate of people and some people have more than one job.

A comparison between estimates of employment and jobs is available in an article published on the website.

Where to find data about workforce jobs

Jobs estimates are available at Tables 5 and 6 of the pdf version of this Statistical Bulletin and at data tables JOBS01 (58 Kb Excel sheet) and JOBS02 (334.5 Kb Excel sheet) .

Commentary

There were 33.49 million workforce jobs in September 2014, up 129,000 from June 2014 and up 1.21 million on a year earlier. Chart 5.1 shows changes in the number of jobs by industrial sector between September 2013 and September 2014.

Chart 5.1: Workforce jobs changes between September 2013 and September 2014, seasonally adjusted

Chart 5.1: Workforce jobs changes between September 2013 and September 2014, seasonally adjusted
Source: Office for National Statistics

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Since comparable records began in 1978, the number of jobs in the manufacturing and mining and quarrying sectors has declined, but jobs in the service sectors have increased substantially. In June 1978, the manufacturing and mining and quarrying sectors accounted for 26.4% of all jobs. In September 2014 these sectors accounted for 8.0% of all jobs. In June 1978, 63.2% of all jobs were in the services sector. By September 2014 this proportion had increased to 83.4%.

While comparable estimates for workforce jobs by industry begin in 1978, some information back to 1841, based on Census data, are available in a report published by ONS in June 2013.

 

6. Average Weekly Earnings

What is Average Weekly Earnings ?

Average Weekly Earnings measures money paid to employees in Great Britain in return for work done, before tax and other deductions from pay. The estimates do not include earnings of self-employed people. Estimates are available for both total pay (which includes bonuses) and for regular pay (which excludes bonus payments). The estimates are not just a measure of pay settlements as they also reflect compositional changes within the workforce. Further information is available at Notes for Earnings at the end of this section.

Where to find data on Average Weekly Earnings

Average Weekly Earnings estimates are available at Tables 15, 16 and 17 of the pdf version of this Statistical Bulletin and at data tables EARN01 (486.5 Kb Excel sheet) , EARN02 (530 Kb Excel sheet) and EARN03 (597.5 Kb Excel sheet) . While comparable records for Average Weekly Earnings start in 2000, modelled estimates back to 1963 (which do not have National Statistics status) are available at data table EARN02 (530 Kb Excel sheet) .

Where to find more information about Earnings

An article looking at bonus payments was published on 29 August 2014.

An article looking at UK wages over the last four decades was published on 3 July 2014.

The Annual Survey of Hours and Earnings (ASHE), published on 19 November 2014, provides more detailed data.

Commentary

In October 2014:

  • Average regular pay (excluding bonuses) for employees in Great Britain was £456 per week before tax and other deductions from pay.

  • Average total pay (including bonuses) for employees in Great Britain was £483 per week before tax and other deductions from pay.

For August to October 2014, regular pay for employees in Great Britain was 1.6% higher than a year earlier and total pay for employees in Great Britain was 1.4% higher than a year earlier. Comparing single month annual growth rates for October 2014 with those for September 2014, higher growth rates were recorded in October for the private sector (particularly for finance and business services) but lower growth rates were recorded for the public sector.

Between October 2013 and October 2014, the Consumer Prices Index increased by 1.3%.

Chart 6.1: Average earnings and consumer prices annual growth rates

Chart 6.1: Average earnings and consumer prices annual growth rates
Source: Office for National Statistics

Notes:

  1. This chart shows monthly estimates for the Consumer Prices Index (CPI) from October 2009 to October 2014 and three month average estimates for Average Weekly Earnings (AWE) from August-October 2009 to August-October 2014.
  2. The CPI series is for the United Kingdom and is compiled from prices data based on a large and representative selection of individual goods and services. The AWE series are for Great Britain and are sourced from the Monthly Wages and Salaries Survey.
  3. The AWE series are seasonally adjusted. The CPI series is not seasonally adjusted.

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Since comparable records began in 2000, average total pay for employees in Great Britain has increased from £311 a week in January 2000 to £483 a week in October 2014; an increase of 55.3%. Between January 2000 and October 2014, the Consumer Prices Index increased by 39.5%.

Notes for Average Weekly Earnings

  1. The estimates are in current prices; this means that they are not adjusted for price inflation. The estimates relate to Great Britain and include salaries but not unearned income, benefits in kind or arrears of pay.

  2. As well as pay settlements, the estimates reflect bonuses, changes in the number of paid hours worked and the impact of employees paid at different rates joining and leaving individual businesses. The estimates also reflect changes in the overall structure of the workforce; for example, fewer low paid jobs in the economy would have an upward effect on the earnings growth rate.

  3. Lloyds Banking Group plc is reclassified to the private sector from April 2014 following the sale of some government owned shares to private sector investors. It is classified to the public sector between July 2009 and March 2014. ONS estimates that, if the reclassification had not occurred, the public sector single month growth rates from April 2014 would have been around 0.3 percentage points higher and the corresponding private sector growth rates would have been around 0.1 percentage points lower. 

 

7. Labour Disputes (not seasonally adjusted)

What is labour disputes?

The labour disputes estimates measure strikes connected with terms and conditions of employment.

Where to find data about labour disputes

Labour disputes estimates are available at Table 20 of the pdf version of this Statistical Bulletin and at data table LABD01 (106 Kb Excel sheet) .

Commentary

In October 2014, there were 101,000 working days lost from 27 stoppages. Most of these working days lost were due to strikes in the public sector concerning pay and pensions. For the 12 months to October 2014, there were 782,000 working days lost from 144 stoppages.

Since records began in December 1931:

  • the highest cumulative 12 month estimate for working days lost was 32.2 million for the 12 months to April 1980, and

  • the lowest cumulative 12 month estimate for working days lost was 143,000 for the 12 months to March 2011.

Working days lost are at historically low levels when looking at the longer run time series back to the 1930s, available at data table LABD01 (106 Kb Excel sheet) .

Chart 7.1 shows cumulative 12 month totals for working days lost for the last five years.

Chart 7.1: Working days lost cumulative 12 months totals, not seasonally adjusted

Chart 7.1: Working days lost cumulative 12 months totals, not seasonally adjusted
Source: Labour Disputes Statistics - Office for National Statistics

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8. Unemployment

What is 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.

Explaining the concepts of employment, unemployment and economic inactivity is available on the website as a short video.

Where to find data about unemployment

Unemployment estimates for the UK are available at Table 9 of the pdf version of this Statistical Bulletin and at data table UNEM01 (2.19 Mb Excel sheet) .

International comparisons of unemployment rates are available at Table 19 of the pdf version of this Statistical Bulletin and at data table A10 (271 Kb Excel sheet) .

European Union (EU) unemployment rates were published in a Eurostat News Release on 28 November 2014.

Commentary

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 employment plus those who are unemployed) who are unemployed. This follows international guidelines specified by the International Labour Organisation and it ensures that unemployment rates published by ONS are broadly comparable with those published by other countries.

Chart 8.1 shows the unemployment rate for people aged 16 and over since comparable records began in 1971. The chart shows that the lowest unemployment rate was 3.4% in late 1973/early 1974 and the highest rate, of 11.9%, was recorded in 1984 during the downturn of the early 1980s. The unemployment rate for the latest time period, August to October 2014, was 6.0%.

Chart 8.1: Unemployment rate (aged 16 and over) from January-March 1971 to August-October 2014, seasonally adjusted

Chart 8.1: Unemployment rate (aged 16 and over) from January-March 1971 to August-October 2014, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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Chart 8.2 looks in more detail at the unemployment rate for the last five years.

Chart 8.2: Unemployment rate (aged 16 and over), seasonally adjusted

Chart 8.2: Unemployment rate (aged 16 and over), seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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As shown in Charts 8.1 and 8.2, the unemployment rate for those aged 16 and over for August to October 2014 was 6.0%. This was:

  • down from 6.2% for May to July 2014,

  • down from 7.4% for a year earlier, but

  • higher than the pre-downturn trough of 5.2% for late 2007/early 2008.

For August to October 2014, there were 1.96 million unemployed people. This was 63,000 fewer than for May to July 2014, the smallest quarterly fall since July to September 2013. Comparing August to October 2014 with a year earlier, there were 455,000 fewer unemployed people.

Looking at unemployment for men and women for August to October 2014, as shown in Chart 8.3, there were:

  • 1.09 million unemployed men, 32,000 fewer than for May to July 2014 and 263,000 fewer than a year earlier, and

  • 866,000 unemployed women, 31,000 fewer than for May to July 2014 and 192,000 fewer than a year earlier.

Chart 8.3: Number of unemployed men and women, seasonally adjusted

Chart 8.3: Number of unemployed men and women, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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Looking in more detail at changes in the number of unemployed people by how long they have been unemployed, between August to October 2013 and August to October 2014, the number of people who were unemployed:

  • for up to 6 months fell by 194,000 (17.2%) to reach 938,000,

  • for between 6 and 12 months fell by 69,000 (17.1%) to reach 335,000, and

  • for over 12 months fell by 191,000 (21.8%) to reach 684,000.

Looking at international comparisons, the unemployment rate for the European Union (EU) was 10.0% of the economically active population for October 2014. Within the EU, the highest unemployment rates were for Greece (25.9% for August 2014) and Spain (24.0% for October 2014) and the lowest were for Germany (4.9% for October 2014) and Austria (5.1% for October 2014). The unemployment rate for the United States was 5.8% for October and November 2014.

Chart 8.4 shows the unemployment rates for the UK, the EU and the United States for the last five years. As shown in Chart 8.4, the unemployment rate for the UK has been substantially lower than that for the whole of the EU. The unemployment rate for the United States peaked at 10.0% in October 2009 (when the rate for the UK was 7.9%). US unemployment has moved in a downward direction since early 2010, and since early 2013 it has generally been slightly lower than the rate for the UK.

Chart 8.4: Unemployment rates for the United Kingdom, United States and the European Union, seasonally adjusted

Chart 8.4: Unemployment rates for the United Kingdom, United States and the European Union, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics, Eurostat

Notes:

  1. The unemployment rates for the UK and the United States are for those aged 16 and over. The unemployment rate for the EU is for those aged from 15 to 74.
  2. This chart shows monthly estimates for the EU and for the United States from October 2009 to October 2014 and three month average estimates for the UK from August-October 2009 to August-October 2014.

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9. Claimant Count

What is the Claimant Count ?

The Claimant Count measures the number of people claiming benefits principally for the reason of being unemployed. Since October 1996 it has been a count of the number of people claiming Jobseeker’s Allowance (JSA). Claimant Count estimates are available on a comparable basis back to January 1971. The figures from January 1971 to September 1996 are estimates of the number of people who would have claimed unemployment related benefits if JSA had existed.

While comparable records start in 1971, some data back to 1881 (which do not have National Statistics status) are available from the “Historic Data” worksheet within data table CLA01 (396 Kb Excel sheet) .

See Notes for Claimant Count at the end of this section for further details.

Where to find data about the Claimant Count

Claimant Count estimates are available at Tables 10 and 11 of the pdf version of this Statistical Bulletin and at data tables CLA01 (396 Kb Excel sheet) , CLA02 (534 Kb Excel sheet) and CLA03 (69.5 Kb Excel sheet) .

Commentary

Chart 9.1 shows the Claimant Count since comparable records began in 1971. The chart shows that the lowest number of people claiming unemployment related benefits was 422,600 in December 1973 and the highest figure was 3.09 million in July 1986. For the latest month, November 2014, there were 900,100 people claiming Jobseeker’s Allowance (JSA).

Chart 9.1: Claimant Count from January 1971 to November 2014, seasonally adjusted

Chart 9.1: Claimant Count from January 1971 to November 2014, seasonally adjusted
Source: Office for National Statistics, Department for Work and Pensions

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Looking in more detail at the most recent five years, Chart 9.2 shows the Claimant Count from November 2009 to November 2014.

Chart 9.2: Claimant Count, seasonally adjusted

Chart 9.2: Claimant Count, seasonally adjusted
Source: Office for National Statistics, Department for Work and Pensions

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As shown in Charts 9.1 and 9.2, for November 2014 there were 900,100 people claiming JSA. The number of JSA claimants has fallen for 25 consecutive months and it is:

  • down 26,900 from October 2014,

  • down 368,000 from a year earlier, but

  • 121,700 higher than the pre-downturn trough of 778,400 for February 2008.

For November 2014, excluding a small number of clerically processed claims for which an age breakdown is not available, there were:

  • 208,100 people aged from 18 to 24 claiming JSA, down 9,200 from October 2014,

  • 508,300 people aged from 25 to 49 claiming JSA, down 14,600 from October 2014, and

  • 182,000 people aged 50 and over claiming JSA, down 3,200 from October 2014.

These Claimant Count estimates do not yet include people claiming Universal Credit. Experimental statistics providing an indicative representation of how the Claimant Count series might look if information on Universal Credit was included are available at data table CLA03 (69.5 Kb Excel sheet) .

 

Notes for Claimant Count

  1. The headline Claimant Count estimates do not yet include people claiming Universal Credit. See Background Notes to this Statistical Bulletin for further details.

  2. The Claimant Count includes people who claim Jobseeker’s Allowance but who do not receive payment. For example some claimants will have had their benefits stopped for a limited period of time by Jobcentre Plus; this is known as “sanctioning”. Some people claim Jobseeker’s Allowance in order to receive National Insurance Credits.

 

10. Comparison between Unemployment and the Claimant Count

Unemployment is measured according to internationally accepted guidelines specified by the International Labour Organisation (ILO). Unemployed people in the UK are:

  • without a job, have actively sought work in the last four weeks and are available to start work in the next two weeks, or;

  • out of work, have found a job and are waiting to start it in the next two weeks.

People who meet these criteria are classified as unemployed irrespective of whether or not they claim Jobseeker’s Allowance or other benefits. The estimates are derived from the Labour Force Survey and are published for three month average time periods.

The Claimant Count measures the number of people claiming benefits principally for the reason of being unemployed. Since October 1996 it has been a count of the number of people claiming Jobseeker’s Allowance (JSA). Some JSA claimants will not be classified as unemployed. For example, people in employment working fewer than 16 hours a week can be eligible to claim JSA depending on their income.

Chart 10.1 and the associated spreadsheet compare quarterly movements in unemployment and the Claimant Count for the same three month average time periods. The unemployment estimates shown in this comparison exclude unemployed people in the 16 to 17 and 65 and over age groups as well as unemployed people aged from 18 to 24 in full-time education. This provides a more meaningful comparison with the Claimant Count than total unemployment because people in these population groups are not usually eligible to claim JSA.

When three month average estimates for the Claimant Count are compared with unemployment estimates for the same time periods and for the same population groups (people aged from 18 to 64 excluding 18 to 24 year olds in full-time education), between May to July 2014 and August to October 2014:

  • unemployment fell by 43,000, and

  • the Claimant Count fell by 92,000.

Chart 10.1: Quarterly changes in Unemployment and the Claimant Count (aged 18 to 64), seasonally adjusted

Chart 10.1: Quarterly changes in Unemployment and the Claimant Count (aged 18 to 64), seasonally adjusted
Source: Office for National Statistics, Department for Work and Pensions

Notes:

  1. Unemployment estimates are sourced from the Labour Force Survey (a survey of households). The unemployment figures in this chart, and the associated spreadsheet, exclude unemployed people aged from 18 to 24 in full-time education.
  2. Claimant Count estimates are sourced from administrative data from Jobcentre Plus (part of the Department for Work and Pensions).

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11. Economic Inactivity

What is economic inactivity ?

Economically inactive people 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 within the next two weeks.

Explaining the concepts of employment, unemployment and economic inactivity is available on the website as a short video.

Where to find data on economic inactivity

Economic inactivity estimates are available at Tables 1 and 13 of the pdf version of this Statistical Bulletin and at data tables A02 (1.44 Mb Excel sheet) and INAC01 (2.66 Mb Excel sheet) .

Commentary

The proportion of people aged from 16 to 64 not in work and neither seeking nor available to work is known as the economic inactivity rate. Chart 11.1 shows the economic inactivity rate for people aged from 16 to 64 since comparable records began in 1971.

Chart 11.1 shows that the economic inactivity rate increased during the downturn of the early 1980s reaching a record high of 25.9% in 1983. As the economy improved in the late 1980s, the economic inactivity rate resumed its downward path, reaching a record low of 21.7% in late 1989 and 1990, before the economic downturn of the early 1990s drove it back up again. Following an increase in the economic inactivity rate during the downturn of 2008/09, it continued its downward path.

Chart 11.1: Economic Inactivity rate (aged 16 to 64) from January-March 1971 to August-October 2014, seasonally adjusted

Chart 11.1: Economic Inactivity rate (aged 16 to 64) from January-March 1971 to August-October 2014, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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Since comparable records began in 1971, the economic inactivity rate for men has been gradually rising while the rate for women has been gradually falling.

Chart 11.2 looks in more detail at the economic inactivity rate for the last five years.

Chart 11.2: Economic inactivity rate (aged 16 to 64), seasonally adjusted

Chart 11.2: Economic inactivity rate (aged 16 to 64), seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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As shown in Charts 11.1 and 11.2, the economic inactivity rate for those aged from 16 to 64 for August to October 2014 was 22.3%. This was unchanged from May to July 2014 and from a year earlier.

There were 9.06 million people, aged from 16 to 64, not in work and neither seeking nor available to work (known as economically inactive) for August to October 2014. This was little changed from May to July 2014 and from a year earlier. However economic inactivity for those aged from 16 to 64 has shown a generally downward path since late 2011.

Looking in more detail at the 9.06 million people aged from 16 to 64 who were economically inactive for August to October 2014:

  • 2.35 million were students, 15,000 more than a year earlier.

  • 2.29 million were looking after the family or home, 68,000 fewer than a year earlier.

  • 2.02 million were long-term sick, 47,000 more than a year earlier.

  • 1.30 million were retired, 39,000 fewer than a year earlier. This fall in the number of economically inactive people who had retired before reaching the age of 65 reflects ongoing changes to the state pension age for women resulting in fewer women retiring between the ages of 60 and 65.

  • 180,000 were temporarily sick, 13,000 fewer than a year earlier.

  • 48,000 were discouraged (not looking for work because they thought that no suitable jobs were available), 6,000 fewer than a year earlier.

  • The remaining 861,000 people gave other reasons for not looking for work or declined to provide a reason in their Labour Force Survey interview, 73,000 more than a year earlier.

 

12. Young People in the Labour Market

Where to find data on young people in the labour market

Estimates for young people in the labour market are available at Table 14 of the pdf version of this Statistical Bulletin and at data table A06 (2.52 Mb Excel sheet) .

Where to find more information about young people in the labour market

Estimates for young people who were Not in Education, Employment or Training (NEET) for July to September 2014 were published on 20 November 2014.

A report on Young People in the Labour Market was published on 5 March 2014.

Commentary

For August to October 2014, there were 3.19 million people aged from 16 to 24 in full-time education and 4.11 million 16 to 24 year olds not in full-time education. As shown in Chart 12.1, most 16 to 24 year olds in full-time education were economically inactive while most 16 to 24 year olds not in full-time education were in work.

Chart 12.1: Young people (aged 16 to 24) in the labour market for August to October 2014, seasonally adjusted

Chart 12.1: Young people (aged 16 to 24) in the labour market for August to October 2014, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

Notes:

  1. FTE = Full-time education.
  2. The “Not in Full-time education” series include people in part-time education and/or some form of training.

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For August to October 2014, for people aged from 16 to 24, there were:

  • 3.79 million people in work (including 846,000 full-time students with part-time jobs),

  • 754,000 unemployed people (including 248,000 full-time students looking for part-time work), and

  • 2.75 million economically inactive people, most of whom (2.09 million) were full-time students.

It is a common misconception that all people in full-time education are classified as economically inactive. This is not the case as people in full-time education are included in the employment estimates if they have a part-time job and are included in the unemployment estimates if they are seeking part-time work.

For August to October 2014, the unemployment rate for 16 to 24 year olds was 16.6%. This was:

  • unchanged from May to July 2014,

  • down from 20.7% for a year earlier, but

  • higher than the pre-downturn trough of 13.8% for December 2007 to February 2008.

Comparisons of youth unemployment over time are complicated by the fact that unemployment rates are calculated as the number of unemployed people divided by the economically active population (which excludes those not seeking or available to work). Since comparable records began in 1992, the proportion of people aged from 16 to 24 in full-time education has increased substantially from 26.2% for March to May 1992 to 43.7% for August to October 2014. Increasing numbers of young people going into full-time education reduces the size of the economically active population and therefore increases the unemployment rate.

The unemployment rate for those aged from 16 to 24 has been consistently higher than that for older age groups. Since comparable records began in 1992:

  • the lowest youth unemployment rate was 11.6% for March to May 2001, and

  • the highest youth unemployment rate was 22.5% for late 2011.

 

13. Redundancies

What are redundancies ?

The redundancies estimates measure the number of people who have been made redundant or have taken voluntary redundancy.

Where to find data on redundancies

Redundancies estimates are available at Tables 23 and 24 of the pdf version of this Statistical Bulletin and at data tables RED01 (198 Kb Excel sheet) and RED02 (2.34 Mb Excel sheet) .

Commentary

For August to October 2014, 102,000 people had become redundant in the three months before the Labour Force Survey interviews. This was:

  • 10,000 more than for May to July 2014,

  • 18,000 fewer than for a year earlier, and

  • 210,000 fewer than the peak of 311,000 recorded for February to April 2009.

Chart 13.1 shows the number of people made redundant (including voluntary redundancies) for the last five years.

Chart 13.1: Redundancies, seasonally adjusted

Chart 13.1: Redundancies, seasonally adjusted
Source: Labour Force Survey - Office for National Statistics

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14. Vacancies

What are vacancies ?

Vacancies are defined as positions for which employers are actively seeking to recruit outside their business or organisation.

Where to find data about vacancies

Vacancies estimates are available at Tables 21, 21(1) and 22 of the pdf version of this Statistical Bulletin and at data tables VACS01 (65.5 Kb Excel sheet) , VACS02 (142 Kb Excel sheet) and VACS03 (78.5 Kb Excel sheet) .

Commentary

There were 690,000 job vacancies for September to November 2014. This was:

  • up 10,000 from June to August 2014,

  • up 126,000 from a year earlier, but

  • 6,000 lower than the pre-downturn peak of 696,000 for January to March 2008.

Chart 14.1 shows the number of job vacancies since comparable records began in 2001.

Chart 14.1: Vacancies, seasonally adjusted

Chart 14.1: Vacancies, seasonally adjusted
Source: Vacancy Survey - Office for National Statistics

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15. Key Out of Work Benefits, not seasonally adjusted (first published on 12 November 2014)

What are key out of work benefits ?

Key out of work benefits includes claimants of Jobseeker’s Allowance and Employment and Support Allowance and other incapacity benefits. It also includes claimants of Income Support and Pension Credit. While most people claiming these benefits are out of work a small number are in employment. These estimates exclude claimants in Northern Ireland.

The estimates are not seasonally adjusted and it is therefore best practice to compare the estimates for May 2014 with those for a year earlier rather than with those for February 2014.

Where to find data about key out of work benefits

Estimates of claimants of key out of work benefits are available at Table 25 of the pdf version of this Statistical Bulletin and at data table BEN01 (57.5 Kb Excel sheet) .

Commentary

For May 2014 there were 4.11 million people claiming key out of work benefits. This was:

  • 422,400 fewer than for May 2013, and

  • 984,100 fewer than the peak of 5.10 million recorded for February 2010.

For May 2014, 10.4% of the population aged from 16 to 64 were claiming key out of work benefits. This was:

  • down from 11.4% for a year earlier, and

  • the lowest since comparable records began in 1999.

Chart 15.1 shows, for the last five years, the proportion of the population aged from 16 to 64 claiming key out of work benefits.

 

Chart 15.1: Proportion of population (aged 16 to 64) claiming key out of work benefits, not seasonally adjusted

Chart 15.1: Proportion of population (aged 16 to 64) claiming key out of work benefits, not seasonally adjusted
Source: Department for Work and Pensions, Office for National Statistics

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(iv) Where to find more information about Labour Market Statistics

Other regularly published labour market releases

Regional Labour Market statistics (*)

Public Sector Employment

Young People who were Not in Employment, Education or Training (NEET)

Labour Productivity

Annual Survey of Hours and Earnings (ASHE)

Business Register and Employment Survey (BRES)

(*) Regional and local area statistics are available at NOMIS®

Recently published reports on labour market topics

Families in the Labour Market (9 December 2014)

Underemployment and overemployment in the UK (25 November 2014)

Public and Private Sector Earnings (19 November 2014)

Working and workless households (29 October 2014)

Employment in tourism industries (26 September 2014)

Bonus payments in Great Britain (29 August 2014)

Self-employed workers in the UK (20 August 2014)

UK wages over the last four decades (3 July 2014)

Characteristics of home workers in the UK (4 June 2014)

Contracts with no guaranteed hours (30 April 2014)

Young People in the Labour Market (5 March 2014)

Sickness Absence in the Labour Market (25 February 2014)

Historic articles published in Economic & Labour Market Review and Labour Market Trends

Articles about labour market statistics were published in Labour Market Trends (up until 2006) and in Economic and Labour Market Review (from 2007 to 2011). Editions of Labour Market Trends are available on the website from July 2001 until December 2006 when the publication was discontinued. Editions of Economic and Labour Market Review are available on the website from the first edition, published in January 2007, up until the last edition published in May 2011.

Published ad hoc data and analysis

Additional statistical data and analyses for labour market statistics that have not been included in our standard publications are available on the website.

Methodological articles

A number of methodological articles about labour market statistics are available on the website.

 

(v) Revisions

Estimates for the most recent time periods are subject to revision due to the receipt of late and corrected responses to business surveys and revisions to seasonal adjustment factors which are re-estimated every month. Estimates are subject to longer run revisions, on an annual basis, resulting from reviews of the seasonal adjustment process. Estimates derived from the Labour Force Survey (a survey of households) are usually only revised once a year. Revisions to estimates derived from other sources are usually minor and are commented on in the Statistical Bulletin if this is not the case. Further information is available in the Labour Market Statistics Revisions Policy (36.7 Kb Pdf) .

One indication of the reliability of the key indicators in this Statistical Bulletin can be obtained by monitoring the size of revisions. Data tables EMP05 (1.12 Mb Excel sheet) , UNEM04 (3.11 Mb Excel sheet) , JOBS06 (435 Kb Excel sheet) and CLA04 (1.96 Mb Excel sheet) record the size and pattern of revisions over the last five years. These indicators only report summary measures for revisions. The revised data itself may be subject to sampling or other sources of error. The ONS standard presentation is to show five years worth of revisions (60 observations for a monthly series, 20 for a quarterly series).

 

(vi) Accuracy of the Statistics: Estimating and Reporting Uncertainty

Most of the figures in this Statistical Bulletin come from surveys of households or businesses. Surveys gather information from a sample rather than from the whole population. The sample is designed carefully to allow for this, and to be as accurate as possible given practical limitations like time and cost constraints, but results from sample surveys are always estimates, not precise figures. This means that they are subject to some uncertainty. This can have an impact on how changes in the estimates should be interpreted, especially for short-term comparisons.

We can calculate the level of uncertainty (also called “sampling variability”) around a survey estimate by exploring how that estimate would change if we were to draw many survey samples for the same time period instead of just one. This allows us to define a range around the estimate (known as a “confidence interval”) and to state how likely it is in practice that the real value that the survey is trying to measure lies within that range. Confidence intervals are typically set up so that we can be 95% sure that the true value lies within the range – in which case we refer to a “95% confidence interval”.

For example, the unemployment rate for August to October 2014 was estimated to be 6.0%. This figure had a stated 95% confidence interval of +/- 0.2 percentage points. This means that we can be 95% certain that the true unemployment rate for August to October 2014 was between 5.8% and 6.2%. However, the best estimate from the survey was that the unemployment rate was 6.0%.

The number of people unemployed for the same period was estimated at 1,958,000, with a stated 95% confidence interval of +/- 78,000. This means that we can be 95% sure that the true number of unemployed people was between 1,880,000 and 2,036,000. Again, the best estimate from the survey was that the number of unemployed people was 1,958,000.

As well as calculating precision measures around the numbers and rates obtained from the survey, we can also calculate them for changes in the numbers. For example, for August to October 2014, the estimated change in the number of unemployed people since May to July 2014 was a fall of 63,000, with a 95% confidence interval of +/- 83,000. This means that we can be 95% certain the actual change in unemployment was somewhere between an increase of 20,000 and a fall of 146,000, with the best estimate being a fall of 63,000. As the estimated fall in unemployment of 63,000 is smaller than the confidence interval of 83,000, the estimated fall in unemployment is said to be “not statistically significant”.

Working with uncertain estimates

In general, changes in the numbers (and especially the rates) reported in this Statistical Bulletin between three month periods are small, and are not usually greater than the level that is explainable by sampling variability. In practice, this means that small, short-term movements in reported rates (for example within +/- 0.3 percentage points) should be treated as indicative, and considered alongside medium and long-term patterns in the series and corresponding movements in administrative sources, where available, to give a fuller picture.

Seasonal adjustment and uncertainty

Like many economic indicators, the labour market is affected by factors that tend to occur at around the same time every year; for example school leavers entering the labour market in July and whether Easter falls in March or April. In order to compare movements other than annual changes in labour market statistics, such as since the previous quarter or since the previous month, the data are seasonally adjusted to remove the effects of seasonal factors and the arrangement of the calendar. All estimates discussed in this Statistical Bulletin are seasonally adjusted except where otherwise stated. While seasonal adjustment is essential to allow for robust comparisons through time, it is not possible to estimate uncertainty measures for the seasonally adjusted series.

Where to find data about uncertainty and reliability

Data table A11 (48 Kb Excel sheet) shows sampling variabilities for estimates derived from the Labour Force Survey.

Data table JOBS07 (44.5 Kb Excel sheet) shows sampling variabilities for estimates of workforce jobs.

The sampling variability of the three month average vacancies level is around +/- 1.5% of that level.

Sampling variability information for Average Weekly Earnings growth rates are available from the “Sampling Variability” worksheets within data tables EARN01 (486.5 Kb Excel sheet) and EARN03 (597.5 Kb Excel sheet) .

 

(vii) Other Quality Information

Quality and Methodology Information papers for labour market statistics are available on the website.

Further information about the Labour Force Survey (LFS) is available from:

 

Background notes

  1. This month's Release

    On 17 December 2013, ONS published an article explaining the decision to reclassify Network Rail from the private sector to the public sector from October 2002 onwards (except for the period from April 2003 to March 2004 where it is classified to the private sector). This decision results from new guidance in the 2010 European System of Accounts (ESA10). The article explained that the classification decision would be implemented from 1 September 2014 when ESA10 came into force.

    Consequently, Network Rail has been reclassified from the private sector to the public sector in the estimates of Average Weekly Earnings (AWE) and Public Sector Employment (PSE) in this month’s release, resulting in revisions to the AWE and PSE estimates. The revisions to the AWE estimates only go back to 2010.

    In addition to the revisions resulting from the re-classification of Network Rail, there have been further revisions to estimates of Public Sector Employment back to the start of the time series in 1999. These revisions take account of late information, updates to seasonal factors, and re-referencing of survey estimates.

    There have also been revisions to estimates of Workforce Jobs going back several years. These revisions have been caused by benchmarking to the latest estimates from the annual Business Register and Employment Survey (BRES), updating seasonal factors and taking on board late information.

  2. Next month’s Release

    The headline claimant count estimates published in this Statistical Bulletin do not include claimants of Universal Credit. Since July 2014 ONS has published, at data table CLA03 (69.5 Kb Excel sheet) , statistics providing an indicative representation of how the Claimant Count might look if experimental statistics published by the Department for Work and Pensions were included. From next month’s release, these statistics will also appear in the Statistical Bulletin at Table 10(1).

  3. Introduction of Universal Credit

    The Pathfinder for Universal Credit started on 29 April 2013 with the introduction of this new benefit in one Jobcentre Plus office. This has been extended to further Jobcentre Plus offices across Great Britain:

    • By 12 June 2014 (the Claimant Count date for June 2014), Universal Credit had been introduced in 10 Jobcentre Plus offices across Great Britain.

    • By 13 November 2014 (the Claimant Count date for November 2014), Universal Credit had been introduced in 71 Jobcentre Plus offices across Great Britain, of which 65 were in the North West region. 

    • More detailed information is available on the website at List of Jobcentre Plus Offices under Universal Credit (90.6 Kb Pdf) .

    Universal Credit will replace a number of means-tested benefits including the means-tested element of Jobseeker’s Allowance (JSA). It will not replace contributory based JSA.

    The Claimant Count measures the number of people claiming benefits principally for the reason of being unemployed. Since October 1996 it has been a count of the number of people claiming JSA. Following a consultation in 2012 by ONS, it was decided that, with the introduction of Universal Credit, the Claimant Count would include:

    • people claiming contribution-based JSA (which is not affected by the introduction of Universal Credit),

    • people claiming income-based JSA during the transition period while this benefit is being gradually phased out, and

    • people claiming Universal Credit who are not earning and who are subject to a full set of labour market jobseeker requirements, that is required to be actively seeking work and available to start work.

    The headline Claimant Count estimates from May 2013 onwards, published in this Statistical Bulletin, do not include claimants of Universal Credit. ONS will include jobseeker Universal Credit claims in the headline Claimant Count statistics as soon as possible.

    Since July 2014, ONS has published an indicative adjusted Claimant Count including experimental estimates of claimants of Universal Credit as well as JSA claimants at data table CLA03 (69.5 Kb Excel sheet) .

  4. Publication policy

    Publication dates up to the end of 2015 are available in the Background Notes to the June 2014 edition of this Statistical Bulletin.

    A list of the job titles of those given pre-publication access to the contents of this Statistical Bulletin is available on the website.

  5. Details of the policy governing the release of new data are available by visiting www.statisticsauthority.gov.uk/assessment/code-of-practice/index.html or from the Media Relations Office email: media.relations@ons.gsi.gov.uk

    The United Kingdom Statistics Authority has designated these statistics as National Statistics, in accordance with the Statistics and Registration Service Act 2007 and signifying compliance with the Code of Practice for Official Statistics.

    Designation can be broadly interpreted to mean that the statistics:

    • meet identified user needs;
    • are well explained and readily accessible;
    • are produced according to sound methods; and
    • are managed impartially and objectively in the public interest.

    Once statistics have been designated as National Statistics it is a statutory requirement that the Code of Practice shall continue to be observed.

Statistical contacts

Name Phone Department Email
Richard Clegg @ONSRichardClegg +44 (0)1633 455400 Labour Market Statistics Briefing labour.market@ons.gsi.gov.uk
Nick Palmer +44 (0)1633 455839 Labour Force Survey nicholas.palmer@ons.gsi.gov.uk
Bob Watson +44 (0)1633 455070 Claimant Count and Benefits bob.watson@ons.gsi.gov.uk
Mark Williams +44 (0)1633 456728 Workforce Jobs, Public Sector Employment and Vacancies mark.williams@ons.gsi.gov.uk
Ian Richardson +44 (0)1633 455780 Average Weekly Earnings ster@ons.gsi.gov.uk
James Scruton +44 (0)1633 456724 Labour Disputes james.scruton@ons.gsi.gov.uk
Get all the tables for this publication in the data section of this publication .
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