Geocoded Pubs in England with Food Hygiene Ratings

Establishments and their Location Information

By GetTheData [source]

About this dataset

This dataset - Geocoded Open Pubs in England, with Food Hygiene Ratings - contains data on open pubs located in England, such as their FSA ID, name, address and postcode, easting and northing coordinates for geographical mapping purposes, as well as latitude and longitude values. This information can be used to plot pubs onto a map or to create applications that allow you to locate the nearest pub. You can also mashup this data with other geocoded datasets for even more prospects of use. With this dataset you are able to link the pub with their corresponding data in the Food Standards Agency's Food Hygiene Ratings database and work out an efficient route should you want to embark upon an epic pub crawl around England!

The raw data used for this dataset comes from the Food Standard Agency's Food Hygiene Ratings database and is licensed under their terms & conditions. The local authority field is derived from the ONS Postcode Directory which is licenced under OGL (Open Government Licence). This open-data has been published by GetTheData (https://www.getthedata.com) thank you!

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How to use the dataset

• To get started with this data set you'll need to have some basic understanding of GIS systems (GPS) as well as knowledge on finding FSA ID's. With that said let's go through a few simple steps on how best to utilise this dataset:

• Take at look at the columns provided in the data set as they will provide you useful insight into what kind of information is available for each pub. This will let you narrow down certain pubs if it matches your purpose or location better than others.

• Once you've determined which pubs may fit your criteria use either easting/northing or lat/long (depending what platform you are using) along with other columns such as postal code or local authority for reference points - making sure to double check accuracy when referencing certain areas.

  • Making sure your referenced locations are correct allow them act like floor plans - pinning parks and buses stops around these points can further help locate some great points of interest within a given area e.,g parks nearby or bus stops leading up closer getting there!

  • With this close eye over specific areas it makes easier going tracking down information related places whether they be small scale (pubs) or large scale (town centres). Additional data sourced from such sources like OS Maps make plotting additional layers easier ensuring accuracy when pinpointing locations but also keeping track route paths taking guesses out off tricky situations finding right direction any situation providing routes between multiple points easily

• Hitting two birds one stone make effort successful poking around featured area especially selecting best displayed locations putting all pieces together combining datasets creating mashups applications expanding knowledge individual topics make understanding clear meet first goal achieving aspirations goals prospects far simpler task making complete process lot enjoyable bringing desired results forefront far quicker rate providing quality end product everytime respecting boundaries regulations policies standards privacy all times highest level appreciation recognition pick one best suited everyone occasion last statement something think thoroughly research upon ensuring confident before building individual or company related projects using geocoded based datasets obtain full understanding

Research Ideas

• Combining pubs and their respective food hygiene ratings to create an app that helps users select and rate pubs based on their last inspection rating.
• Creating an automated pub-crawling route planner to help guide pub crawls more efficiently, based on geographical locations of pubs in the dataset.
• Creating a web application that displays all Open Pubs at once with their addresses and contact details for customers to find easily, either by simply typing in the postcode or zooming in into an area on a map

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: open_pubs.csv | Column name | Description | |:-----------------------------------------------...

The dataset is derived from the FSA Food Hygiene Ratings, from which the pubs/bars/nightclubs are extracted, cleaned up and then combined with the ONS Postcode Directory in order to map pubs to local authority. This is a processed dataset derived from official published sources. It may contain alterations, aggregations or cleaned-up versions of data published elsewhere. Please note, this dataset may be a one-off publication and may not be updated.

This dataset is about books. It has 1 row and is filtered where the book is The little book of pub etiquette : an essential guide to British pub culture. It features 7 columns including author, publication date, language, and book publisher.

Explore the historical Whois records related to pub-guide.co.uk (Domain). Get insights into ownership history and changes over time.

This dataset contains a sample of 10,000 (3.5%) out of a total of 285,846 text sequences extracted from the 1891–1896 Map of London by the Ordnance Survey (OS).

The methodology used for the automated recognition, linking, and sequencing of the text is detailed in the article Recognizing and Sequencing Multi-word Texts in Maps Using an Attentive Pointer by M. Zou et al., 2025.

Description of the content

The map is drawn at a scale of five-feet to the mile (c.a. 1:1,056). The text on the map is an invaluable source of information about the Greater London in the late Victorian period. It includes the names of streets, squares, parks, watercourses and even some estates ('Poplars', 'The Grange', 'Arbutus Lodge'). In addition, the map contains many details of the function of buildings and economic activity, such as factories ('Sweet Factory', 'Crown Linoleum Works', 'Imperial Flour Mills', 'Lion Brewery'), warehouses or commercial infrastructure ('Warehouse', 'Jamaica Wharf', 'Rag Store'), offices ('Offices'), etc. The map also mentions public buildings such as schools ('School Boys, Girls & Infants', 'Sunday School'), hospitals or clinics ('St. Saviour's Union Infirmary', 'Beulah Spa Hydropathic Establishment', 'South Western Fever Hospital'), railway stations ('Clapham Station'), post offices, banks, police stations, etc. Other social venues are also mentioned, such as public houses, i.e. pubs ('P.H.'), clubs, casinos, and recreational areas (e.g. 'Cricket Ground'). Special attention is given to churches, with a regular count of the number of seats (e.g. 'Baptist Chapel Seats for 600').

In addition, the map provides details that can be of great interest in the study of everyday life in London at the end of the 19th century. For example, there are numerous mentions of 'Stables', 'Drinking Fountain's or 'Urinal'[s]. Fire protection infrastructure is highlighted, e.g. fire plugs ('F.P.') and fire alarms ('F.A.'). The map also includes information on elevation (e.g. '11·6') and flood levels (e.g. 'High Water Mark of Ordinary Tides').

A list of abbreviations used in the Ordnance Survey maps, created by Richard Oliver [1], is made available by the National Library of Scotland (link).

Organization of the data

The data in 10k_text_london_OS_1890s.geojson is organized as a regular geojson file.

Example structure

{ "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "MultiPolygon", "coordinates": [[[ [x1, y1], [x2, y2], ...]]] }, "properties": { "label": "Oxford Circus", } },

... # Further text sequences            

] }

Image documents

The original map document consists of 729 separate sheets, digitized, georeferenced, and served as geographic tiles by the National Library of Scotland [2].

Descriptive statistics

Total Number of text sequences: 285,846Sample size: 10,000Total Area covered: 450 square km

Use and Citation

For any mention of this dataset, please cite :

@misc{text_london_OS_1890s, author = {Zou, Mengjie and Petitpierre, R{\'{e}}mi and di Lenardo, Isabella}, title = {{London 1890s Ordnance Survey Text Layer}}, year = {2025}, publisher = {Zenodo}, url = {https://doi.org/10.5281/zenodo.14982946}}@article{recognizing_sequencing_2025, author = {Zou, Mengjie and Dai, Tianhao and Petitpierre, R{\'{e}}mi and Vaienti, Beatrice and di Lenardo, Isabella}, title = {{Recognizing and Sequencing Multi-word Texts in Maps Using an Attentive Pointer}}, year = {2025}}

Corresponding author

Rémi PETITPIERRE - remi.petitpierre@epfl.ch - ORCID - Github - Scholar - ResearchGate

License

This project is licensed under the CC BY 4.0 License.

Liability

We do not assume any liability for the use of this dataset.

References

Oliver R. (2013). Ordnance Survey maps: A concise guide for historians. The Charles Close Society. London, UK. 3rd Ed. 320 pages

Ordnance Survey, London, five feet to the mile, 1893-1896 (1896), https://maps.nls.uk/os/townplans-england/london-1056-1890s.html, digitized by the National Library of Scotland (NLS)