Coronavirus Infection
Survey Data

Coronavirus Infection Survey Data

Last Updated: 25th November

Page updated by 6pm each Friday. Follow me on Twitter for any updates!

Page updated by 6pm each Friday.

Follow me on Twitter for any updates!

In England…

1 in 65

people had Covid-19 this week

That is 1.5% of the population,

and about 810,000 people overall

In Scotland…

1 in 65

people had Covid-19 this week

That is 1.6% of the population,

and about 85,000 people overall

In Wales…

1 in 65

people had Covid-19 this week

That is 1.5% of the population,

and about 45,000 people overall

In Northern Ireland…

1 in 55

people had Covid-19 this week

That is 1.9% of the population,

and about 35,000 people overall

This chart is based on data from the ONS Coronavirus Infection Survey. It provides an accurate estimate of the percentage of people in each nation who have Covid-19 each week. As a quick reference, 1% = 1 in 100 people, 2% = 1 in 50, 5% = 1 in 20, ect.

 

By randomly testing sections of the population and then using modelling, the ONS are able to work out roughly how many people across each nation have the virus each week. For more information about the data and how it all works, you can visit here.

 

Please note that these figures are only estimates, and the credible intervals are not shown on this chart. It is possible that the actual figures may be a bit higher or lower than what is shown here.

 

If you select a week on the chart, the tooltip will tell you the exact figures for that week, in addition to the "1 in ..." figures.

This chart is based on data from the ONS Coronavirus Infection Survey. It provides an accurate estimate of the percentage of people in each nation who have Covid-19 each week. As a quick reference, 1% = 1 in 100 people, 2% = 1 in 50, 5% = 1 in 20, ect.

 

By randomly testing sections of the population and then using modelling, the ONS are able to work out roughly how many people across each nation have the virus each week. For more information about the data and how it all works, you can visit here.

 

Please note that these figures are only estimates, and the credible intervals are not shown on this chart. It is possible that the actual figures may be a bit higher or lower than what is shown here.

 

If you select a week on the chart, the tooltip will tell you the exact figures for that week, in addition to the "1 in ..." figures.

This chart is based on data from the ONS Coronavirus Infection Survey. It provides an accurate estimate of the percentage of people in each nation/region who had Covid-19 in the latest week. As a quick reference, 1% = 1 in 100 people, 2% = 1 in 50, 5% = 1 in 20, ect.

 

Please note that these figures are only estimates, and the credible intervals are not shown on this chart. It is possible that the actual figures may be a bit higher or lower than what is shown here.

 

If you select an area on the map, the tooltip will tell you the exact figures, in addition to the "1 in ..." and change from last week figures.

This chart is based on data from the ONS Coronavirus Infection Survey. It provides an accurate estimate of the percentage of people in each nation/region who had Covid-19 in the latest week, and how this figure has changed from last week. As a quick reference, 1% = 1 in 100 people, 2% = 1 in 50, 5% = 1 in 20, etc. 

 

Please note that these figures are only estimates, and the credible intervals are not shown on this chart. It is possible that the actual figures may be a bit higher or lower than what is shown here.

 

The line in the middle represents a 0% change. Any areas to the left of that line have falling virus rates, and any areas to the right of it have rising virus rates. The higher up an area is, the higher percentage of its population had Covid-19 this week.

 

If you select an area on the chart, the tooltip will tell you the exact figures, in addition to the "1 in ..." and change from last week figures.

This chart is based on data from the ONS Coronavirus Infection Survey. It provides an accurate estimate of the percentage of people in each nation/region who had Covid-19 in the latest week, and how this figure has changed from last week. As a quick reference, 1% = 1 in 100 people, 2% = 1 in 50, 5% = 1 in 20, etc. 

 

Please note that these figures are only estimates, and the credible intervals are not shown on this chart. It is possible that the actual figures may be a bit higher or lower than what is shown here.

 

The line in the middle represents a 0% change. Any areas to the left of that line have falling virus rates, and any areas to the right of it have rising virus rates. The higher up an area is, the higher percentage of its population had Covid-19 this week.

 

If you select an area on the chart, the tooltip will tell you the exact figures, in addition to the "1 in ..." and change from last week figures.

This chart is based on data from the ONS Coronavirus Infection Survey. It provides an accurate estimate of the percentage of people in each nation/region who had Covid-19 each day over the past six weeks (42 days). As a quick reference, 1% = 1 in 100 people, 2% = 1 in 50, 5% = 1 in 20, etc.

 

The average over the most recent 7 days is what is shown as the 'this week' figure elsewhere on this page.

 

Please note that these figures are only estimates, and the credible intervals are not shown on this chart. It is possible that the actual figures may be a bit higher or lower than what is shown here.

This chart is based on data from the ONS Coronavirus Infection Survey. It provides an accurate estimate of the percentage of people in each nation/region who had Covid-19 each day over the past six weeks (42 days). As a quick reference, 1% = 1 in 100 people, 2% = 1 in 50, 5% = 1 in 20, etc.

 

The average over the most recent 7 days is what is shown as the 'this week' figure elsewhere on this page.

 

Please note that these figures are only estimates, and the credible intervals are not shown on this chart. It is possible that the actual figures may be a bit higher or lower than what is shown here.

This chart is based on data from the ONS Coronavirus Infection Survey. It provides an accurate estimate of the percentage of people in each age group (in England) who had Covid-19 each day over the past six weeks (42 days). As a quick reference, 1% = 1 in 100 people, 2% = 1 in 50, 5% = 1 in 20, etc.

 

The younger age groups are technically based on school years, but I'm showing them as the actual ages for simplicity. The first age group (2 to 11) is actually age 2 to school year 6 (age 10/11). The second age group (11 to 16) is actually school year 7 (age 11/12) to school year 11 (age 15/16). Finally, the third age group (16 to 24) is actually school year 12 (age 16/17) to age 24.

 

Please note that these figures are only estimates, and the credible intervals are not shown on this chart. It is possible that the actual figures may be a bit higher or lower than what is shown here.

This chart is based on data from the ONS Coronavirus Infection Survey. It provides an accurate estimate of the percentage of people in each age group (in England) who had Covid-19 each day over the past six weeks (42 days). As a quick reference, 1% = 1 in 100 people, 2% = 1 in 50, 5% = 1 in 20, etc.

 

The younger age groups are technically based on school years, but I'm showing them as the actual ages for simplicity. The first age group (2 to 11) is actually age 2 to school year 6 (age 10/11). The second age group (11 to 16) is actually school year 7 (age 11/12) to school year 11 (age 15/16). Finally, the third age group (16 to 24) is actually school year 12 (age 16/17) to age 24.

 

Please note that these figures are only estimates, and the credible intervals are not shown on this chart. It is possible that the actual figures may be a bit higher or lower than what is shown here.

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About Coronavirus (COVID-19)

NHS Scotland has some great information here about the virus, and how you can look after your own physical and mental health during these difficult times.

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F.A.Q

Me! I’m John, a 27-year-old Cat lover and former student at the University of the Highlands and Islands (Argyll College). I started tracking the Scottish Coronavirus (Covid-19) data in a spreadsheet out of interest, which eventually led to me making this page.

Rather than buying a new domain to host it, I just added it to my ‘Travelling Tabby’ website. This is a travel blog, and has absolutely nothing to do with the Coronavirus. But still, feel free to look around if you want! (although there isn’t much on the blog, as most of my free time since the start of 2020 has been spent on this page)

If you need to contact me, you can use the contact form on this page, or email me at [email protected]

Loads! Here are some of them (Please be aware that as we move closer to the end of the pandemic, many of these sources have stopped releasing data:):

Scotland Coronavirus Tracker – Another page by me, keeping track of more Scotland specific data

Worldometers – Worldwide Data in an easy table format

WHO – Worldwide Data with an attractive design

Our World in Data – A large website with heaps of data on the pandemic across the world

NYT – Great for USA Data

Public Health Scotland – The official Scottish dashboard, with some additional figures on there 

Scot Gov Impact Dashboard – An interesting dashboard looking at the effects of the pandemic throughout Scotland (indirect health impacts, economic impacts, societal impacts, etc)

Public Health Wales – The official Welsh dashboard, with some additional figures on there 

CoronavirusCymru – An easy to read website covering all of the Welsh figures 

Portal Covid-19 Cymru – Another Welsh dashboard, providing some additional figures (including very local area figures)

Department of Health – The official Northern Ireland dashboard, with some additional figures on there (a separate page for Northern Irelands vaccine figures is here)

UK Government – The official UK dashboard, with some additional figures on there (their interactive map here is especially nice, and it allows you to see very local English figures)

@LawrenceGilder – A Twitter account that provides an easy to read yet comprehensive daily Covid-19 update for the UK

Covid-19 Risk – A neat website that lets you calculate the level of risk involved in attending an event in your area, based on recent case rates

ZOE – An app that allows users to report Covid-19 symptoms, and from that, estimates the current prevalence of the virus across the UK

Yeah! I occasionally post different types of charts and comparisons on Twitter!

Also, here is a link to the spreadsheet I useFeel free to download a copy. It is a bit of a mess, but it could be useful if you were looking for some raw data. 

Here is a list of all the official pages involving Coronavirus figures for the UK (that I know of). If you know of any more which you think should be included, please let me know! Please be aware that as we move closer to the end of the pandemic, many of these sources have stopped releasing data:

UK / England

UK Gov – A page looking at the UK covid wide data. It includes a ton of information on cases, deaths, testing hospitalizations, and vaccinations

UK Gov Weekly R Number – A page that provides the most recent R number and growth rate for England and the English regions 

ONS Weekly Infection Survey – A weekly report that looks at covid rates throughout the UK, and estimates the total number of people who currently have the virus. 

ONS Weekly Death Reports – Another weekly report looking at all deaths throughout the UK. Additional detailed figures are included for England and Wales, covering deaths by location, excess deaths, and more. (for the Scotland/N. Ireland version of this, look for the NRS and NISRA reports)

ONS Monthly Long Covid Study – A monthly report that looks at the prevalence of Long Covid throughout the UK. 

ONS Additional Insights – A weekly dashboard that keeps track of various metrics across the UK, such as cases, hospitalizations, vaccinations, antibodies, well-being, lifestyle, work, and more.

COG-UK – A neat website that keeps track of which variants of the virus which are currently active throughout the UK.

NHS England – Detailed figures for English hospital activity, deaths, and vaccinations.

NHS Test & Trace – Figures on the number of people being ‘pinged’

Scotland

NRS Weekly Death Report – A weekly report looking at deaths. Also includes extra information, like excess deaths, location of death, and age of death. Once a month a very detailed report comes out, looking at factors such as deprivation, pre existing conditions, and so forth.

PHS Weekly Report – A weekly report giving a good overview of the current Covid-19 situation in Scotland, taking multiple sources into account and providing additional information.

PHS Weekly Dashboard – A dashboard that is updated once a week, consisting of data included in the PHS weekly report above. 

PHS Wider Impacts Dashboard – A dashboard looking at a range of general health factors and how the pandemic has impacted them (primarily through comparisons to previous years). Such as total hospital appointments, A&E attendances, cancer diagnoses, and much more.

PHS Education Dashboard – A weekly dashboard looking at cases, testing, and hospital admissions in children and those working in the education sector. 

ScotGov Impact Dashboard – A weekly dashboard looking at covids impact throughout society. Includes stuff like public opinion polls, school attendance, crime rates, unemployment rate, and more. 

ScotGov Modelling the Pandemic – A weekly report which provides an update of the current R number, and covers other areas relating to the current prevalence of the virus in Scotland.

SEPA Wastewater Dashboard – A dashboard that analyses wastewater samples across Scotland and tracks how many traces of Covid-19 are being found in them.   

Wales

Public Health Wales – The official Welsh dashboard, including a wide range of figures surrounding the pandemic in Wales.

Welsh Government Weekly R Number –  A page listing weekly reports, in which an update of the most recent R number is included, plus some other figures. 

Northern Ireland

Department of Health – The official Northern Ireland dashboard, including a wide range of figures surrounding the pandemic in Northern Ireland.

Department of Health Weekly R Number – A page listing weekly reports, in which an update of the most recent R number is included, plus some other figures.  

HSC – A dashboard providing detailed figures of the vaccination rollout in Northern Ireland.

NISRA Weekly Death Report – Weekly death reports looking at deaths, and also including extra information, such as excess deaths, location of deaths, and so forth.

Sorry!

One issue might be that you’re using Firefox. This browser seems to break the page for a lot of people, and I have no idea what is causing it. My only suggestion would be to try viewing the page on another browser, as it just seems to be Firefox which has issues, on a range of devices.

If things in general aren’t updating, then it might just be that the page your browser is showing you hasn’t updated to show the most recent version. This seems to be an issue for only some people, for whatever reason. But if you view the page in private/incognito mode, then the issue should go away. 

It’s a WordPress site, built with Elementor. That covers most of the page, but all the graphs/charts/tables are embedded from a range of different places! 

These are Datawrapper, Flourish, and Everviz. The Datawrapper and Flourish charts will mention their name in the footer, and if there’s no mention, it is an Everviz chart. Oh, and the non Datawrapper maps are made with MapSVG!

I’d be happy to answer any other questions about it, but it is quite simple. I’m not really any good at programming/automation, and I’m new to all of this, so it is mostly just a lot of copying/pasting to get the website updated.  

Additional Information / Clarifications

As the figures on this page are based on estimates, there is some uncertainty surrounding them. When the ONS releases these figures, they also release credible intervals, which give a range of where the true figure will be.

For example, the data for one week might say that an estimated 3.0% of England had the virus that week, with the lower credible interval being 2.9%, and the upper credible interval being 3.1%. That means that there is a 95% chance of the true figure being within that 2.9% to 3.1% range, and that 3.0% is the central estimate that has been made.

The size of the credible interval depends on the amount of data available. Larger populations have more data, and thus smaller credible intervals. But smaller populations have less data to work with, and will have higher credible intervals as a result. This means the credible intervals and level of uncertainty for Northern Ireland will be a lot larger than they are for England (For example, for the same 3.0% central estimate, Northern Ireland might have a credible interval of 2.5% – 3.5%).

I don’t display the credible intervals on this page as it triples the amount of figures I need to display and makes things harder to read, so just keep that in mind when looking at the figures (especially for smaller populations). You can see all of the credible interval figures from the ONS directly here.

While looking at this page you may see one of the top charts saying a nation/region has had an increase from last week, but the six week trend chart is clearly showing a decrease in the most recent week (or vice versa).

The reason for that is that the historical figures on the six week chart are updated each week, whereas on the other charts it is just looking at what was initially reported last week vs what has been reported this week.

So if a region reports a figure of 2.0% last week, then 2.2% this week, then the top charts will show an increase. This will be the case even if the past six weeks trend chart has revised last weeks figures up to 2.4% for that week, and shows a decline into this weeks 2.2% figure.

In brief, the Coronavirus Infection Survey works by randomly testing sections of the population with PCR tests, and then using modelling with the results to work out roughly how many people across each nation in total have the virus each week (you can read their methodology in more detail here).

In contrast, the case figures simply show how many people have reported a positive Covid-19 test each week of the pandemic.

Both sets of figures have their own uses. The Infection Survey figures are far more accurate in working out how many people in total have the virus each week. This is because not everyone who catches the virus will get tested for it to be included in the case figures (either because they didn’t want to, or because they didn’t have any symptoms and didn’t feel the need to).

The case figures are more useful when trying to view the situation at a local level, as very limited data is available for this through the Infection Survey. The case figures are also around two weeks more up to date than the Infection Survey figures, so can show the most recent trends better.

In 2022, Covid-19 testing was scaled back substantially. This affected the case figures and really hampered how useful they were. While they can still show recent trends and local hotspots, they are not as useful as they once were, and do not even nearly show the total number of cases in circulation.

Comparatively, the Infection Survey figures were not impacted in these changes in testing, so remain as accurate as before. 

Below are some of the frequently requested additions for the page, with an explanation as to why they are not currently available: 

Local Data
I was going to include these figures, but the ONS have now switched to only releasing the local data once a month. Plus, due to the nature of the survey (needing lots of participants), the data can only get so local while still being reliable. If you are outside of a city, chances are you will be part of a very large local area with multiple local authorities lumped together.

So I don’t think there is too much benefit in adding the local data to this page. With that being said, the ONS does release local figures once a month (usually around the middle of the month), and you can view them in their official reports here.

 

Age Data for Scotland/Wales/Northern Ireland
Unfortunately, the same level of age data isn’t released for the rest of the UK as it is for England. There are some figures, but they aren’t released in the most friendly to use format, and due to small population sizes the credible intervals for Scotland/Wales/Northern Ireland are normally very large.

As with the local data, I don’t think there is too much benefit in adding these figures to the page. Especially as the trend of the age figures in Scotland/Wales/Northern Ireland normally follows the same general pattern as in England. Although the ONS does release some age figures, and you can view them in their official reports here.

I aim to update this page every Friday for 6pm. Although unfortunately, this isn’t always possible due to data not being released on time, or something else in my life taking priority.

But it is updated by 6pm or shortly after most of the time! If a delay or more than 10-15 minutes is expected, I will put out a tweet to let people know.

On public holidays, the amount of data being released can vary, so the page will only be partially updated, or potentially not updated at all. I’ll include a header banner on this page to let people know when/if that is occurring.

The actual data is released by the ONS each Friday at noon.

Disclaimer

The data on this page is obtained from official sources, and it is accurate to the best of my knowledge. However, I am only human! I sometimes make miscalculations, or typos. Don’t always take the information on this page as fact and base decisions on it.

All the sources are listed above, as is the spreadsheet I make all my calculations in, so feel free to double-check the data and let me know if you think something isn’t correct!

This website is not associated with the Scottish government, UK government, ONS, NHS, or any other organization. It is just run by an individual who does not value his free time.