This publication is licensed under the terms of the Open Government Licence v3. To view this licence, visit nationalarchives. Where we have identified any third party copyright information you will need to obtain permission from the copyright holders concerned.
The latest release of these statistics can be found in the Alternative Claimant Count statistics collection. This release of statistics is to 14 May and includes revisions to previous statistics. Figures are seasonally adjusted unless otherwise stated. To provide additional context on the characteristics of claimants, estimates of the proportion of claimants who are working are included in this release for the first time.
Feedback and queries about the statistics can be sent by email to: stats. In the United Kingdom, the number of people claiming unemployment related benefits in May was 2. Some claimants of unemployment related benefits are wholly unemployed and seeking work, others may be employed but with low earnings that make them eligible for unemployment related benefit support.
Of the 2. In comparison, the employment rate was Over the last month, , people newly claimed unemployment benefits and , ceased claiming.
The net increase of , claimants has led to a substantial increase in the rate of claimant unemployment as a proportion of the population aged 16 to 64 in May 6. This is the highest recorded rate seen throughout the entire statistical series from January At local authority level figures not seasonally adjusted :.
The Alternative Claimant Count measures the number of people claiming unemployment related benefits. This has the effect of increasing the Claimant Count irrespective of how the economy performs. To address this, these Alternative Claimant Count statistics measure the number of people claiming unemployment related benefits by modelling what the count would have been if Universal Credit had been fully rolled out since when Universal Credit began with the broader span of people this covers, comprising:.
Compared to the ONS Claimant Count, the alternative series provides a more consistent measure of trends in national and local levels of claimant unemployment over time irrespective of the rollout of Universal Credit. The Office for National Statistics ONS Claimant Count continues to provide an accurate count, at a point in time, of the number of people claiming unemployment related benefits.
Consequently, changes in the Claimant Count may not be due wholly to changes in the number of people who are unemployed. National and regional figures are seasonally adjusted. The purpose of this is to remove systematic calendar-related variation associated with the time of the year which could otherwise cause misinterpretation of trends within the data. This facilitates comparisons between consecutive time periods, rather than just year-on-year.
Our approach to seasonal adjustment is consistent with the approach used by ONS for the Claimant Count. About these statistics contains more information about the process used. The Alternative Claimant Count series starts from January Over a longer period, the Labour Force Survey provides a consistent measure of unemployment at national and regional level.
Trends over time for local areas can be considered using the Claimant Count prior to , and the Alternative Claimant Count from However, the figures cannot be directly compared as they are defined differently figure 1. Figure 2 illustrates the differences between the Alternative Claimant Count and the Claimant Count at a local level. The Alternative Claimant Count models what the count would have been if Universal Credit had been fully rolled out since to provide more meaningful insights to changes in the local labour market.
For Newcastle-upon-Tyne which was one of the first local authorities to roll out Universal Credit Full Service to new claimants in May , the Claimant Count subsequently rose as more people were brought within Searching for Work conditionality. But this was irrespective of changes in the local labour market and gave misleading rises in local unemployment estimates. Under Universal Credit, claimants are assigned to conditionality groups which translate to the work-related tasks the individual must do in order to fulfil entitlement conditions.
The Searching for Work conditionality group comprises those people who are not working, or have very low earnings. It is possible that the Claimant Count can surpass the Alternative Claimant Count in local areas, most usually areas where Universal Credit had been rolled out early.
Consequently, the coverage of the measure differs from the wider unemployment measure, being constrained by the eligibility criteria for the related benefits. More detail is given in the section on Relevance. Concepts and definitions describe the legislation governing the output and a description of the classifications used in the output. The Claimant Count measures the number of people claiming unemployment related benefit in the UK. At different times historically this was based on claimants of Unemployment Benefit, National Assistance or Supplementary Benefit.
From , this became unemployment related Income Support administered by the Department of Social Security. Since , records have been geo-referenced using Output Areas. These building blocks are used to produce a range of higher level geographic areas. Periods prior to have geographic codes directly referenced from the postcode directory appropriate at the time.
Trade-offs are the extent to which different dimensions of quality are balanced against each other. The JSA element of the Claimant Count is based on the information as it exists in an extract produced from the administrative system three weeks after the count date for the latest month.
No subsequent revisions are made to the non-seasonally adjusted JSA figures after that date. The UC element of the Claimant Count allows for revisions to the data for one previous month. This means that the Claimant Count does not take account of later actions which are backdated to an earlier date, such as the outcome of an appeals process.
In cases such as this, the action will only take place in the month in which the update occurs to the administrative system. However, in this case, the duration calculated for that claim would be based on the start date as entered in the administrative system, that is.
NB Flows and duration data are currently suspended. This lack of retrospection or revision accounts for some of the difference between the Claimant Count and statistics on claimants which are produced by DWP as part of their working age benefit statistics. These counts are produced several months after the reference period and allow for most issues to be resolved.
Seasonally adjusted estimates are revised on a regular basis. Each month the previous estimate is revised to be based on a consistent seasonal adjustment run to the latest estimate, giving the best estimate of change for the latest period. Once a year, a longer run of seasonal adjustment revisions is allowed, to coincide with the seasonal adjustment review.
Typically, the last 3 years are revised in April as part of the seasonal adjustment review. The approach for the Claimant Count means that the published figures for previous periods will not necessarily be the same as if the figure for the period was recalculated later. However, because all.
This gives a consistent count whilst not presenting users with constant revisions. The processes for finding out about users and uses, and their views on the statistical products.
The most recent assessment of user need and perceptions was the result of a consultation on the measurement of the Claimant Count with the introduction of UC. This consultation elicited responses from government departments, local authorities, academia, the charity sector and individual.
The majority of users agreed with our proposals to produce a series from UC that continued the general aim of identifying those who are receiving benefit for unemployment related purposes.
A small subset would prefer that the general aim was to use the benefit information as the basis of producing a measure of unemployment, rather than to measure benefit recipients. Accessibility is the ease with which users are able to access the data, also reflecting the format in which the data are available and the availability of supporting information. Clarity refers to the quality and sufficiency of the release details, illustrations and accompanying advice.
Our recommended format for accessible content is a combination of HTML web pages for narrative, charts and graphs, with data being provided in usable formats such as CSV and Excel.
Our website also offers users the option to download the narrative in PDF format. In some instances other software may be used, or may be available on request. Available formats for content published on our website but not produced by us, or referenced on our website but stored elsewhere, may vary. For further information please refer to the contact details at the beginning of this document.
In addition to this Quality and Methodology Information, Basic Quality Information relevant to each release is available in the background notes of the relevant statistical bulletins:. UK labour market. Regional labour market statistics in the UK. Tell us whether you accept cookies We would like to use cookies to collect information about how you use ons.
Accept all cookies. Set cookie preferences. Claimant count QMI. Table of contents Methodology background Executive summary Output quality About the output How the output is created Validation and quality assurance Concepts and definitions Other information Sources for further information or advice.
This document contains the following sections: Output quality About the output How the output is created Validation and quality assurance Concepts and definitions Other information, relating to quality trade-offs and user needs Sources for further information or advice Back to table of contents.
This document addresses these quality dimensions and other important quality characteristics, which are: relevance timeliness and punctuality coherence and comparability accuracy output quality trade-offs assessment of user needs and perceptions accessibility and clarity More information is provided about these quality dimensions in the sections below. Back to table of contents. Timeliness and punctuality Timeliness refers to the lapse of time between publication and the period to which the data refer.
The Claimant Count references to a count date, which falls on the second Thursday of each month. Accuracy The degree of closeness between an estimate and the true value. Coherence and comparability Coherence is the degree to which data that are derived from different sources or methods, but refer to the same topic, are similar. Output quality trade-offs Trade-offs are the extent to which different dimensions of quality are balanced against each other.
However, because all periods are produced in the same way, any bias is fairly consistent geographically and over time.
It is used to deliver targeted advertising across the networks. This cookie is used to provide the visitor with relevant content and advertisement. This cookie is used for marketing and advertising.
The cookie stores a unique ID used for identifying the return users device and to provide them with relevant ads. This cookie is used for advertising services. This cookie is used for promoting events and products by the webiste owners on CRM-campaign-platform. The purpose of the cookie is to determine if the user's browser supports cookies. The cookie stores a videology unique identifier.
It helps to know whether a visitor has seen the ad and clicked or not. This cookie is used to identify the visitor and to serve them with relevant ads by collecting user behaviour from multiple websites. The cookies stores a unique ID for the purpose of the determining what adverts the users have seen if you have visited any of the advertisers website. The information is used for determining when and how often users will see a certain banner. The data includes the number of visits, average duration of the visit on the website, pages visited, etc.
The cookies stores information that helps in distinguishing between devices and browsers. This information us used to select advertisements served by the platform and assess the performance of the advertisement and attribute payment for those advertisements. Used to track the information of the embedded YouTube videos on a website. The main business activity of this cookie is targeting and advertising.
This cookie tracks the advertisement report which helps us to improve the marketing activity. Others Others. Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. The domain of this cookie is related with a company called Bombora in USA. This is used to identify the trusted web traffic by the content network, Cloudflare. Powered by. The cookie is used by cdn services like CloudFlare to identify individual clients behind a shared IP address and apply security settings on a per-client basis.
This cookie is used for load balancing services provded by Amazon inorder to optimize the user experience. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Advertisement". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
This cookie is set by the provider Media. This cookie is used to assign the user to a specific server, thus to provide a improved and faster server time. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. This cookie is set by linkedIn.
This cookie is used to store the language preferences of a user to serve up content in that stored language the next time user visit the website. This cookie is set by Addthis. This cookie is used to recognize the visitor upon re-entry. This cookie is set by the provider Addthis. The cookie is set by Addthis which enables the content of the website to be shared across different networking and social sharing websites.
Helps users identify the users and lets the users use twitter related features from the webpage they are visiting. This cookies is installed by Google Universal Analytics to throttle the request rate to limit the colllection of data on high traffic sites. This cookie tracks anonymous information on how visitors use the website.
This cookie is set by the provider Delta projects. This cookies is set by Youtube and is used to track the views of embedded videos. This cookie is set by Google and stored under the name dounleclick. This cookie is installed by Google Analytics. This cookie is set by the provider Getsitecontrol.
This cookie is provided by Tribalfusion. This cookie is used to store information of how a user behaves on multiple websites. The domain of this cookie is owned by Rocketfuel.
This cookie is set by the provider Yahoo. This cookie is set by StatCounter Anaytics. This cookie is used to store a random ID to avoid counting a visitor more than once. The domain of this cookie is owned by Videology. The cookie sets a unique anonymous ID for a website visitor. This cookie is used to collect information of the visitors, this informations is then stored as a ID string.
The main purpose of this cookie is targeting, advertesing and effective marketing. This domain of this cookie is owned by agkn. This cookie helps to categorise the users interest and to create profiles in terms of resales of targeted marketing. The cookie is set by CasaleMedia. This cookie is set by Casalemedia and is used for targeted advertisement purposes.
This cookie is setup by doubleclick. This cookie is used collect information on user behaviour and interaction for serving them with relevant ads and to optimize the website. The cookie is set under eversttech. The cookie is set by Adhigh. This cookie is set by the Bidswitch. This cookie is set by the provider Sonobi. The main purpose of this cookie is targeting and advertising. Used by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website.
The cookie is set by pubmatic. This cookie is set by pubmatic. This is a Lijit Advertising Platform cookie.
0コメント