Note: There is currently no licence to use the pharmacy registration data from the General Pharmaceutical Council in Open Street Map. So you must not make any OpenStreetMap edits based on the circles on the map, or the data in the popups or tables below. The data can be used to inform surveys though. You may also find that some pharmacies are listed in the FHRS dataset, which is available for use in OSM.
In the LD postal area, 8 out of 10 pharmacies are matched to OSM objects, which is 80.0%.
The blue circles on the map are pharmacies on the official register that haven't been matched to an OSM object. The red circles are OSM objects that haven't been matched to a pharmacy on the official register. The green lines represent matches from the register to an OSM object. For more information see below.
The matching process is simplistic, so an incorrect matching may result in a different nearby pharmacy being the one that is really missing. Also, it is not currently clear what licence the official register data can be re-used under. Until this is clarified, you should not use the data below directly to add pharmacies to OSM. However, knowing that there is a pharmacy missing in a particular area, you may be able to add that using other sources.
Official ID | Postcode | Official Name |
---|---|---|
1044011 | LD5 4RG | How Pharm Ltd |
1044017 | LD8 2BA | Presteigne Pharmacy |
Entries here could be due to: Former pharmacies that have now closed, more than one object being tagged for a single pharmacy, the register entry for a real pharmacy being matched incorrectly to a different OSM object, or businesses (e.g. non-dispensing chemists) being tagged incorrectly as pharmacies in OSM. Not all of these entries will be errors in the OSM data, so be careful before making any edits. Also, it is not currently clear what licence the official register data can be re-used under. Until this is clarified, you should not use the data below directly to make edits to OSM.
No items in this category.
Note that the matching is very simplistic, just taking the nearest unmatched OSM pharmacy object within a certain radius of the postcode centroid of each official entry in turn. Where several pharmacies are in close proximity, they may be matched incorrectly.
Official ID | Postcode | Official Name | OSM Object | OSM Name | Offset | NM |
---|---|---|---|---|---|---|
1044006 | LD1 5BB | Boots | n303893239 | Boots | 29 m | ✓ |
1044002 | LD2 3DN | Boots | w889331857 | Boots | 12 m | ✓ |
1092773 | LD7 1AE | Boots | n3790135652 | Boots | 5 m | ✓ |
1043998 | LD3 7JP | Boots | w727236244 | Boots | 32 m | ✓ |
1089839 | LD1 5HU | Lakeside Pharmacy | n298932373 | Lakeside Pharmacy | 17 m | ✓ |
1044001 | LD3 0PF | Primrose Pharmacy | n8162395159 | Primrose Pharmacy | 32 m | ✓ |
1097242 | LD6 5AB | Rowlands Pharmacy | w853333753 | 12 m | ✘ | |
1043996 | LD3 7LB | Well | w727255777 | Well Pharmacy | 44 m | ✘ |
For full details of data sources and import dates, see https://osm.mathmos.net/pharmacy/
Data derived from OpenStreetMap data, © OpenStreetMap Contributors, licensed under Open Data Commons Open Database License (ODbL). XAPI courtesy of Overpass API.