Have you ever wondered which cities are mentioned the most in the Fediverse?
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Spontaneous listing/ranking for #cities in #germany which are mentioned most in the #Fediverse)
(#city: uses)
#berlin: 1458
#hamburg: 1136
#köln: 295
#wetter: 295
#dresden: 289
#bonn: 276
#bremen: 274
#münchen: 260
#chemnitz: 230
#mainz: 222
#wuppertal: 183
#erlangen: 181
#stuttgart: 176
#frankfurt: 172
#hannover: 170
#rostock: 164
#fürth: 157
#bochum: 152
#lübeck: 144
#neumarktoberpfalz 128 (how comes that much?)
#kiel: 128
#dortmund: 119
#nürnberg: 119
#forchheim: 116
#düsseldorf: 95
#karlsruhe: 95
#münster: 87wetter: 295 uses might be false cause "wetter" is not only a city but the german word for weather, and a very small city? But #essen (german word for eating / food and of tge biggest cities in germany) only has 62 uses, so it seems only real cities are mentioned.?
maybe some smaller cities but with a big university = more active users (students) are mentioned more often.?
@sabrinkmannBased on https://hachyderm.io/@sabrinkmann/116748232312273861
@synapsenkitzler @sabrinkmann #Wuppertal for da win!
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Spontaneous listing/ranking for #cities in #germany which are mentioned most in the #Fediverse)
(#city: uses)
#berlin: 1458
#hamburg: 1136
#köln: 295
#wetter: 295
#dresden: 289
#bonn: 276
#bremen: 274
#münchen: 260
#chemnitz: 230
#mainz: 222
#wuppertal: 183
#erlangen: 181
#stuttgart: 176
#frankfurt: 172
#hannover: 170
#rostock: 164
#fürth: 157
#bochum: 152
#lübeck: 144
#neumarktoberpfalz 128 (how comes that much?)
#kiel: 128
#dortmund: 119
#nürnberg: 119
#forchheim: 116
#düsseldorf: 95
#karlsruhe: 95
#münster: 87wetter: 295 uses might be false cause "wetter" is not only a city but the german word for weather, and a very small city? But #essen (german word for eating / food and of tge biggest cities in germany) only has 62 uses, so it seems only real cities are mentioned.?
maybe some smaller cities but with a big university = more active users (students) are mentioned more often.?
@sabrinkmannBased on https://hachyderm.io/@sabrinkmann/116748232312273861
#wetter is a tricky one. How do we know, people are referring to the city and not the weather?
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Have you ever wondered which cities are mentioned the most in the Fediverse? I did! I built a small tool that checks the hashtags for the biggest cities in DE, AT, CH, NL, GB, IT, FR and DK.
You can see the results on the map here: https://54gradsoftware.codeberg.page/fedi-cities/.
You can find the software here, along with a list of limitations: https://codeberg.org/54GradSoftware/fedi-cities.This is only a small, limited analysis, but you can see lots of dots everywhere, especially in bigger cities, and generally in Germany and the Netherlands. [1/3]
@sabrinkmann since the script receives the data only from mastodon.social, it misses significant traffic for Munich and Berlin. berlin.social adds around 10% more traffic to #berlin and muenchen.social even more to #münchen
But apart from that: Thanks for the work - visualizing the relevance of the Fediverse is important! -
@sabrinkmann this is making me wonder how many tiny English towns are actually being picked up when people tag American cities. Tiny little English Portland is huge, and I'm now wondering if there's a city called Yeovil somewhere because I'd be surprised if Yeovil, Somerset is a hive of Fediverse activity
@afewbugs @sabrinkmann Perth Australia tags would explain Perth Scotland seemingly outscoring larger nearby Dundee Scotland… but not impossible that’s real.
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Fedi Cities city hashtags are most active in the Fediverse?
data as of 12–13 June 2026:
#berlin 🇩🇪 1458
#hamburg 🇩🇪 1136
#paris 🇫🇷 660
#amsterdam 🇳🇱 594
#belfast 🇬🇧 431
#london 🇬🇧 430
#reading 🇬🇧 379
#tours 🇫🇷 338
#koln 🇩🇪 295
#wetter 🇩🇪 295
#dresden 🇩🇪 289
#rotterdam 🇳🇱 282
#bonn 🇩🇪 276
#bremen 🇩🇪 274
#almelo 🇳🇱 261
#munchen 🇩🇪 260
#groningen 🇳🇱 253
#lyon 🇫🇷 241
#leeuwarden 🇳🇱 237
#chemnitz 🇩🇪 230
#mainz 🇩🇪 222
#brandenburg 🇩🇪 220
#leipzig 🇩🇪 219
#zwolle 🇳🇱 200
#wimbledon 🇬🇧 194All results https://codeberg.org/54GradSoftware/fedi-cities/src/branch/pages/software/data/cities-result.csv [2/3]
@sabrinkmann did you normalise spellings as in eg: Aken, Aachen, Aix la Chapelle or Koln, Köln, Köln, Keulen, Colonia etc. ?
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@jele I thought about also doing regiosn but they are worse defined in wikidata, have longer names and esspecially my time is quiet limited for this project. But could be an idea for a next iteration.
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@sabrinkmann
I'm amazed that Boston gets so many mentions - I can't help but wonder if the original Boston is getting confused with the newcomer over the water?
(And could this apply to other cities such as Birmingham?)
I see no easy way of avoiding this.@MikeFromLFE I guess this is a big factor for the cities in UK. Befor I did this project I did not now, that their was a also Washington in the UK :D but in germany we also have multiple cities with the same name.
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@sabrinkmann #Nice work! I think there are a few 'false positives', like the small town of #DAX in south-west and Nice, in the south-east of France ;-)
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@sabrinkmann I'm noticing something weird happening: No Belgium cities are mentioned at all.
Might be that the spelling people use is different for what the system checks it with?
I would Imagine Ghent/Gent en Brussels/Bruxelles to pop up at least.
Edit: My comprehensive reading on Monday mornings is... Let's just get some more coffee..
Now noticing your list of countries does not include Belgium.. Whoops...
@NousZLD I had to limit the project because of my time for this side project.
I guess belgium would be also harder because in the current setup I inly have one primary language for every country. I guess for switzerland this is still working? -
@sabrinkmann since the script receives the data only from mastodon.social, it misses significant traffic for Munich and Berlin. berlin.social adds around 10% more traffic to #berlin and muenchen.social even more to #münchen
But apart from that: Thanks for the work - visualizing the relevance of the Fediverse is important!@maxpfe Thank you! I tested in the beginning different German speaking instances. Norden.social had quite different numbers for northern and southern cities. I also tested a relay, but this had way lower numbers. I guess mastodon.social is a good compromise. Otherwise, the software would create way more traffic.
In the end, accurately mapping a diverse federated service is never 100% accurate.
Sidenote: Munich is also a worse example because different Fediverse software will work/count munchen, münchen, and some people even use muc as hashtags. -
@sabrinkmann did you normalise spellings as in eg: Aken, Aachen, Aix la Chapelle or Koln, Köln, Köln, Keulen, Colonia etc. ?
@Tho99 you can find the more infomration here: https://codeberg.org/54GradSoftware/fedi-cities
The original names are coming from Wikidata and are the name in the primary country language. Then the software would get "Köln" and would try different hashtag-ify versions, because Mastodon would convert it to "Koln". -
@maxpfe Thank you! I tested in the beginning different German speaking instances. Norden.social had quite different numbers for northern and southern cities. I also tested a relay, but this had way lower numbers. I guess mastodon.social is a good compromise. Otherwise, the software would create way more traffic.
In the end, accurately mapping a diverse federated service is never 100% accurate.
Sidenote: Munich is also a worse example because different Fediverse software will work/count munchen, münchen, and some people even use muc as hashtags.@sabrinkmann i also think mastodon.social is a good compromise. For Munich I would recommend sending the requests to muenchen.social instead of mastodon.social, because even the baseline is higher.
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@NousZLD I had to limit the project because of my time for this side project.
I guess belgium would be also harder because in the current setup I inly have one primary language for every country. I guess for switzerland this is still working?@sabrinkmann yeah, though I'm seeing "Geneva" has only three hits als "Genf", where you would expect it to be bigger than the little town of Lausanne (with 4, or even Zug with 27).
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Fedi Cities city hashtags are most active in the Fediverse?
data as of 12–13 June 2026:
#berlin 🇩🇪 1458
#hamburg 🇩🇪 1136
#paris 🇫🇷 660
#amsterdam 🇳🇱 594
#belfast 🇬🇧 431
#london 🇬🇧 430
#reading 🇬🇧 379
#tours 🇫🇷 338
#koln 🇩🇪 295
#wetter 🇩🇪 295
#dresden 🇩🇪 289
#rotterdam 🇳🇱 282
#bonn 🇩🇪 276
#bremen 🇩🇪 274
#almelo 🇳🇱 261
#munchen 🇩🇪 260
#groningen 🇳🇱 253
#lyon 🇫🇷 241
#leeuwarden 🇳🇱 237
#chemnitz 🇩🇪 230
#mainz 🇩🇪 222
#brandenburg 🇩🇪 220
#leipzig 🇩🇪 219
#zwolle 🇳🇱 200
#wimbledon 🇬🇧 194All results https://codeberg.org/54GradSoftware/fedi-cities/src/branch/pages/software/data/cities-result.csv [2/3]
@sabrinkmann, hmm… that list includes towns and possibly even villages. What's certain is that not every place listed is a city.
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Spontaneous listing/ranking for #cities in #germany which are mentioned most in the #Fediverse)
(#city: uses)
#berlin: 1458
#hamburg: 1136
#köln: 295
#wetter: 295
#dresden: 289
#bonn: 276
#bremen: 274
#münchen: 260
#chemnitz: 230
#mainz: 222
#wuppertal: 183
#erlangen: 181
#stuttgart: 176
#frankfurt: 172
#hannover: 170
#rostock: 164
#fürth: 157
#bochum: 152
#lübeck: 144
#neumarktoberpfalz 128 (how comes that much?)
#kiel: 128
#dortmund: 119
#nürnberg: 119
#forchheim: 116
#düsseldorf: 95
#karlsruhe: 95
#münster: 87wetter: 295 uses might be false cause "wetter" is not only a city but the german word for weather, and a very small city? But #essen (german word for eating / food and of tge biggest cities in germany) only has 62 uses, so it seems only real cities are mentioned.?
maybe some smaller cities but with a big university = more active users (students) are mentioned more often.?
@sabrinkmannBased on https://hachyderm.io/@sabrinkmann/116748232312273861
@synapsenkitzler hehe, Essen (the city) is mentioned by using EssenStadt or StadtEssen or EssenRuhr.
It's also the worst cityname to google with 🙄 -
@sabrinkmann, hmm… that list includes towns and possibly even villages. What's certain is that not every place listed is a city.
@lp0_on_fire
> A city is a human settlement of a substantial size. The term "city" has different meanings around the world and in some places the settlement can be very small.
https://en.wikipedia.org/wiki/City -
@ely_peddler this is one of timespan of data as of 12–13 June 2026 because the API only gives you 7 days of information. You can find the timespan on the Website
@sabrinkmann @ely_peddler
Thank you for this. I suspect that the British places Reading, as well as Deal and Sale, may be over-represented on the map! -
Have you ever wondered which cities are mentioned the most in the Fediverse? I did! I built a small tool that checks the hashtags for the biggest cities in DE, AT, CH, NL, GB, IT, FR and DK.
You can see the results on the map here: https://54gradsoftware.codeberg.page/fedi-cities/.
You can find the software here, along with a list of limitations: https://codeberg.org/54GradSoftware/fedi-cities.This is only a small, limited analysis, but you can see lots of dots everywhere, especially in bigger cities, and generally in Germany and the Netherlands. [1/3]
@sabrinkmann
This is funny because Reading gets featured because a lot of posts mention reading not Reading.
I'm from Reading and know at least 4 other posters who are.
#rdguk -
@sabrinkmann @ely_peddler
Thank you for this. I suspect that the British places Reading, as well as Deal and Sale, may be over-represented on the map!@Cameleopard @sabrinkmann Ely has some rather spicy entries which don't appear to a lot to do with this little cathedral city. :)
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@sabrinkmann
This is funny because Reading gets featured because a lot of posts mention reading not Reading.
I'm from Reading and know at least 4 other posters who are.
#rdguk@ArtBrew @sabrinkmann Also, Reading's not a city. We're a town, and we're proud of it.
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