The People and Nature Survey for England is one of the main sources of data and statistics on how people experience and think about the environment. It began collecting data in April 2020 and has been collecting data since.
The survey builds on the Monitor of Engagement with the Natural Environment (MENE) survey which ran from 2009 to 2019. Data from the People and Nature Survey for England enables users to:
This data contributes to Natural England’s delivery of statutory duties, informs Defra policy and natural capital accounting, and contributes to the outcome indicator framework for the 25 Year Environment Plan.
Different versions of the People and Nature Survey for England are available from the UK Data Archive under Open Access (SN 9092) conditions, End User Licence (SN 9093), and Secure Access (SN 9094).
The Secure Access version includes the same data as the End User Licence version, but includes more detailed variables including:
The Open Access version includes the same data as the End User Licence version, but does not include the following variables:
Researchers are advised to review the Open Access and/or the End User Licence versions to determine if these are adequate prior to ordering the Secure Access version.
Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. An explanation can be found on the Office for Statistics Regulation website.Natural England's statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to.
These accredited official statistics were independently reviewed by the Office for Statistics Regulation in January 2023. They comply with the standards of trustworthiness, quality and value in the Code of Practice for Statistics and should be labelled ‘accredited official statistics’.
Users are welcome to contact Natural England directly at people_and_nature@naturalengland.org.uk with any comments about how they meet these standards. Alternatively, users can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.
Since the latest review by the Office for Statistics Regulation, Natural England have continued to comply with the Code of Practice for Statistics, and have made the following improvements:
These data are available in Excel, SPSS, as well as Open Document Spreadsheet (ODS) formats.
Latest edition information
For the seventh edition (March 2025), data for April to June 2024 (Quarter 17) have been added.
There were over 4.7 million people aged between 30 and 34 in the United Kingdom in 2023, making it the most populous age group in that year. Those aged between 35 and 39 years comprised the next most numerous age group in 2023, at over 4.64 million people. Millennials overtake Boomers as biggest generation Post-war demographic trends, particularly the 'baby boom' phenomenon, have significantly influenced the current age distribution in the UK. The postwar peak of live births in 1947 resulted in the dominance of the Baby Boomer generation for several decades, until 2020 when Millennials became the largest generational cohort, surpassing the Boomers for the first time. The following year, the UK Boomer population was then overtaken by Generation X, the generation born between Boomers and Millennials. Generation Z, however, remains smaller than the three generations that preceded it, at 12.9 million individuals in 2022. Aging UK population poses challenges The median age of the UK population is projected to reach 44.5 years by 2050, compared to 34.9 years in 1950. This aging trend is indicative of broader global demographic shifts, with the median age of people worldwide forecasted to increase from 23.6 years in 1950 to 41.9 years by 2100. How countries like the UK manage their aging populations will be one of the key challenges of the next few decades. It is likely the UK's struggling National Health Service (NHS) will come under even more pressure in the coming years. There are also tough economic questions, in particular as more people enter retirement age and the UK's working population gets smaller in relation to it.
Data files containing detailed information about vehicles in the UK are also available, including make and model data.
Some tables have been withdrawn and replaced. The table index for this statistical series has been updated to provide a full map between the old and new numbering systems used in this page.
Tables VEH0101 and VEH1104 have not yet been revised to include the recent changes to Large Goods Vehicles (LGV) and Heavy Goods Vehicles (HGV) definitions for data earlier than 2023 quarter 4. This will be amended as soon as possible.
Overview
VEH0101: https://assets.publishing.service.gov.uk/media/66f15b9b76558d051527abd7/veh0101.ods">Vehicles at the end of the quarter by licence status and body type: Great Britain and United Kingdom (ODS, 147 KB)
Detailed breakdowns
VEH0103: https://assets.publishing.service.gov.uk/media/66436667993111924d9d3426/veh0103.ods">Licensed vehicles at the end of the year by tax class: Great Britain and United Kingdom (ODS, 42.6 KB)
VEH0105: https://assets.publishing.service.gov.uk/media/66f15b9c34de29965b489bcd/veh0105.ods">Licensed vehicles at the end of the quarter by body type, fuel type, keepership (private and company) and upper and lower tier local authority: Great Britain and United Kingdom (ODS, 15.8 MB)
VEH0206: https://assets.publishing.service.gov.uk/media/664369fc4f29e1d07fadc707/veh0206.ods">Licensed cars at the end of the year by VED band and carbon dioxide (CO2) emissions: Great Britain and United Kingdom (ODS, 39.8 KB)
VEH0506: https://assets.publishing.service.gov.uk/media/6287bf83d3bf7f1f44695437/veh0506.ods">Licensed heavy goods vehicles at the end of the year by gross vehicle weight (tonnes): Great Britain and United Kingdom (ODS, 13.8 KB)
VEH0601: https://assets.publishing.service.gov.uk/media/66436cacae748c43d3793ad2/veh0601.ods">Licensed buses and coaches at the end of the year by body type detail: Great Britain and United Kingdom (ODS, 23.9 KB)
VEH1102: https://assets.publishing.service.gov.uk/media/66437bb9ae748c43d3793ae0/veh1102.ods">Licensed vehicles at the end of the year by body type and keepership (private and company): Great Britain and United Kingdom (ODS, 140 KB)
VEH1103: https://assets.publishing.service.gov.uk/media/66f15b9c76558d051527abda/veh1103.ods">Licensed vehicles
The data tables contain figures for:
There are counting rules for recorded crime to help to ensure that crimes are recorded consistently and accurately.
These tables are designed to have many uses. The Home Office would like to hear from any users who have developed applications for these data tables and any suggestions for future releases. Please contact the Crime Analysis team at crimeandpolicestats@homeoffice.gov.uk.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The ORBIT (Object Recognition for Blind Image Training) -India Dataset is a collection of 105,243 images of 76 commonly used objects, collected by 12 individuals in India who are blind or have low vision. This dataset is an "Indian subset" of the original ORBIT dataset [1, 2], which was collected in the UK and Canada. In contrast to the ORBIT dataset, which was created in a Global North, Western, and English-speaking context, the ORBIT-India dataset features images taken in a low-resource, non-English-speaking, Global South context, a home to 90% of the world’s population of people with blindness. Since it is easier for blind or low-vision individuals to gather high-quality data by recording videos, this dataset, like the ORBIT dataset, contains images (each sized 224x224) derived from 587 videos. These videos were taken by our data collectors from various parts of India using the Find My Things [3] Android app. Each data collector was asked to record eight videos of at least 10 objects of their choice.
Collected between July and November 2023, this dataset represents a set of objects commonly used by people who are blind or have low vision in India, including earphones, talking watches, toothbrushes, and typical Indian household items like a belan (rolling pin), and a steel glass. These videos were taken in various settings of the data collectors' homes and workspaces using the Find My Things Android app.
The image dataset is stored in the ‘Dataset’ folder, organized by folders assigned to each data collector (P1, P2, ...P12) who collected them. Each collector's folder includes sub-folders named with the object labels as provided by our data collectors. Within each object folder, there are two subfolders: ‘clean’ for images taken on clean surfaces and ‘clutter’ for images taken in cluttered environments where the objects are typically found. The annotations are saved inside a ‘Annotations’ folder containing a JSON file per video (e.g., P1--coffee mug--clean--231220_084852_coffee mug_224.json) that contains keys corresponding to all frames/images in that video (e.g., "P1--coffee mug--clean--231220_084852_coffee mug_224--000001.jpeg": {"object_not_present_issue": false, "pii_present_issue": false}, "P1--coffee mug--clean--231220_084852_coffee mug_224--000002.jpeg": {"object_not_present_issue": false, "pii_present_issue": false}, ...). The ‘object_not_present_issue’ key is True if the object is not present in the image, and the ‘pii_present_issue’ key is True, if there is a personally identifiable information (PII) present in the image. Note, all PII present in the images has been blurred to protect the identity and privacy of our data collectors. This dataset version was created by cropping images originally sized at 1080 × 1920; therefore, an unscaled version of the dataset will follow soon.
This project was funded by the Engineering and Physical Sciences Research Council (EPSRC) Industrial ICASE Award with Microsoft Research UK Ltd. as the Industrial Project Partner. We would like to acknowledge and express our gratitude to our data collectors for their efforts and time invested in carefully collecting videos to build this dataset for their community. The dataset is designed for developing few-shot learning algorithms, aiming to support researchers and developers in advancing object-recognition systems. We are excited to share this dataset and would love to hear from you if and how you use this dataset. Please feel free to reach out if you have any questions, comments or suggestions.
REFERENCES:
Daniela Massiceti, Lida Theodorou, Luisa Zintgraf, Matthew Tobias Harris, Simone Stumpf, Cecily Morrison, Edward Cutrell, and Katja Hofmann. 2021. ORBIT: A real-world few-shot dataset for teachable object recognition collected from people who are blind or low vision. DOI: https://doi.org/10.25383/city.14294597
microsoft/ORBIT-Dataset. https://github.com/microsoft/ORBIT-Dataset
Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, and Edward Cutrell. 2024. Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA '24). Association for Computing Machinery, New York, NY, USA, Article 403, 1–6. https://doi.org/10.1145/3613905.3648641
The Access Network Map of England
is a national composite dataset of Access layers, showing analysis of extent of
Access provision for each Lower Super Output Area (LSOA), as a percentage or
area coverage of access in England. The ‘Access Network Map’ was developed by
Natural England to inform its work to improve opportunities for people to enjoy
the natural environment. This map shows, across England, the
relative abundance of accessible land in relation to where people
live. Due to issues explained below, the map does not, and cannot, provide
a definitive statement of where intervention is necessary. Rather,
it should be used to identify areas of interest which require further
exploration. Natural England believes that places where
people can enjoy the natural environment should be improved and created where
they are most wanted. Access Network Maps help support this work by
providing means to assess the amount of accessible land available in relation
to where people live. They combine all the available good quality data on
access provision into a single dataset and relate this to population.
This provides a common foundation for regional and national teams to use when
targeting resources to improve public access to greenspace, or projects that
rely on this resource. The Access Network Maps are compiled from the
datasets available to Natural England which contain robust, nationally
consistent data on land and routes that are normally available to the public
and are free of charge. Datasets contained in the aggregated
data:•
Agri-environment
scheme permissive access (routes and open access)•
CROW access land
(including registered common land and Section 16)•
Country Parks•
Cycleways (Sustrans
Routes) including Local/Regional/National and Link Routes•
Doorstep Greens•
Local Nature
Reserves•
Millennium Greens•
National Nature
Reserves (accessible sites only)•
National Trails•
Public Rights of
Way•
Forestry Commission
‘Woods for People’ data•
Village Greens –
point data only Due to the quantity and complexity of data
used, it is not possible to display clearly on a single map the precise
boundary of accessible land for all areas. We therefore selected a
unit which would be clearly visible at a variety of scales and calculated the
total area (in hectares) of accessible land in each. The units we
selected are ‘Lower Super Output Areas’ (LSOAs), which represent where
approximately 1,500 people live based on postcode. To calculate the
total area of accessible land for each we gave the linear routes a notional
width of 3 metres so they could be measured in hectares. We then
combined together all the datasets and calculated the total hectares of
accessible land in each LSOA. For further information about this data see the following links:Access Network Mapping GuidanceAccess Network Mapping Metadata Full metadata can be viewed on data.gov.uk.
In 2023, almost nine million people lived in Greater London, making it the most populated ceremonial county in England. The West Midlands Metropolitan County, which contains the large city of Birmingham, was the second-largest county at 2.98 million inhabitants, followed by Greater Manchester and then West Yorkshire with populations of 2.95 million and 2.4 million, respectively. Kent, Essex, and Hampshire were the three next-largest counties in terms of population, each with around 1.89 million people. A patchwork of regions England is just one of the four countries that compose the United Kingdom of Great Britain and Northern Ireland, with England, Scotland and Wales making up Great Britain. England is therefore not to be confused with Great Britain or the United Kingdom as a whole. Within England, the next subdivisions are the nine regions of England, containing various smaller units such as unitary authorities, metropolitan counties and non-metropolitan districts. The counties in this statistic, however, are based on the ceremonial counties of England as defined by the Lieutenancies Act of 1997. Regions of Scotland, Wales, and Northern Ireland Like England, the other countries of the United Kingdom have their own regional subdivisions, although with some different terminology. Scotland’s subdivisions are council areas, while Wales has unitary authorities, and Northern Ireland has local government districts. As of 2022, the most-populated Scottish council area was Glasgow City, with over 622,000 inhabitants. In Wales, Cardiff had the largest population among its unitary authorities, and in Northern Ireland, Belfast was the local government area with the most people living there.
https://publichealthscotland.scot/services/data-research-and-innovation-services/electronic-data-research-and-innovation-service-edris/services-we-offer/https://publichealthscotland.scot/services/data-research-and-innovation-services/electronic-data-research-and-innovation-service-edris/services-we-offer/
The Brain Health Data Pilot (BHDP) project aims to be a shared database (like a library) of information for scientists studying brain health, especially for diseases like dementia, which affects about 900,000 people in the UK. Its main feature is a huge collection of brain images linked to routinely collected health records, both from NHS Scotland, which will help scientists learn more about dementia and other brain diseases. What is special about this database is that it will get better over time – as scientists use it and add their discoveries, it becomes more valuable.
This is a subset of the General Acute Inpatient and Day Case - Scottish Morbidity Record (SMR01) dataset for use in the Brain Health Data Pilot (BHDP) project.
The dataset contains patient identifiers such as name, date of birth, Community Health Index number, NHS number, postcode and ethnicity and episode management data. Of particular interest to researchers would be variables such as where the episode took place, admission type (includes patient injury classifications such as self-inflicted or home accident), waiting times, patients condition (as classified under ICD-10), operations, and discharge location. A wide variety of geographical data is also included in the dataset including Scottish Index of Multiple Deprivation and Carstairs measures, census output area, NHS Board, Electoral Ward and Parliamentary constituency.
Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.
The difficulties of death figures
This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.
Where are these numbers coming from?
The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.
As of February 2024, the Tesco Clubcard app had 16.3 million users, out of which 12.7 million resided in the United Kingdom (UK), 2.6 million in Central Europe, and one million in the Republic of Ireland. In the United Kingdom, 22 million households were active members of the loyalty program.
How much time do people spend on social media? As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.
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Learn how you can add new datasets to our index.
The People and Nature Survey for England is one of the main sources of data and statistics on how people experience and think about the environment. It began collecting data in April 2020 and has been collecting data since.
The survey builds on the Monitor of Engagement with the Natural Environment (MENE) survey which ran from 2009 to 2019. Data from the People and Nature Survey for England enables users to:
This data contributes to Natural England’s delivery of statutory duties, informs Defra policy and natural capital accounting, and contributes to the outcome indicator framework for the 25 Year Environment Plan.
Different versions of the People and Nature Survey for England are available from the UK Data Archive under Open Access (SN 9092) conditions, End User Licence (SN 9093), and Secure Access (SN 9094).
The Secure Access version includes the same data as the End User Licence version, but includes more detailed variables including:
The Open Access version includes the same data as the End User Licence version, but does not include the following variables:
Researchers are advised to review the Open Access and/or the End User Licence versions to determine if these are adequate prior to ordering the Secure Access version.
Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. An explanation can be found on the Office for Statistics Regulation website.Natural England's statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to.
These accredited official statistics were independently reviewed by the Office for Statistics Regulation in January 2023. They comply with the standards of trustworthiness, quality and value in the Code of Practice for Statistics and should be labelled ‘accredited official statistics’.
Users are welcome to contact Natural England directly at people_and_nature@naturalengland.org.uk with any comments about how they meet these standards. Alternatively, users can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.
Since the latest review by the Office for Statistics Regulation, Natural England have continued to comply with the Code of Practice for Statistics, and have made the following improvements:
These data are available in Excel, SPSS, as well as Open Document Spreadsheet (ODS) formats.
Latest edition information
For the seventh edition (March 2025), data for April to June 2024 (Quarter 17) have been added.