City Density Paradox: Why Top Algorithmic Minds Aren’t in NYC (CodinGame 2026.04 Data)

General
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Hello everyone,

I’ve been digging into the geographical distribution of the current Top 1000 players in CodinGame::Contests::Global. The goal was simple: to see where high-level algorithmic skill actually concentrates when we look beyond the obvious.

I deliberately excluded France and Morocco to get a cleaner, more “organic” global picture.
// i'm sorry for that, yes, this so rude.

What emerged is a pretty clear paradox.

We usually imagine that the world’s biggest “coding capitals” — New York (170k developers), Seattle (140k), Mumbai (90k), Hyderabad (80k) and Washington DC (75k) — should dominate any algorithmic ranking. Yet none of them appear in the top density lists at all. // upd: Gonny is from New York, but he used the country FR, and a bug in the script removed this beautiful city from the list :frowning:

Here’s what the data actually shows:

Top 61 cities by participant density (cities with 2+ participants):

N ISO2 CITY POPULATION P/N/1000
2 HU Esztergom 28026 14
19 PL Wrocław 672929 35
3 GB Cambridge 123867 41
2 CH Lausanne 139111 70
3 RO Cluj-Napoca 324576 108
2 DE Mainz 217556 109
2 PL Częstochowa 223322 112
2 CY Limassol 235056 118
2 DE Aachen 249070 125
3 LT Kaunas 381007 127
2 PL Katowice 285711 143
3 EE Tallinn 438341 146
3 SK Bratislava 475503 159
3 PL Gdańsk 486022 162
11 PL Warsaw 1860281 169
2 BY Brest 340723 170
2 CH Zürich 436332 218
3 LV Riga 920643 307
4 AE Abu Dhabi 1483000 371
3 IE Dublin 1173179 391
7 HU Budapest 2997958 428
3 JP Saitama 1325843 442
3 CZ Prague 1335084 445
3 RS Belgrade 1378682 460
2 ES Málaga 967250 484
3 NL Amsterdam 1459402 486
3 RU Yekaterinburg 1468833 490
3 BG Sofia 1547779 516
2 NO Oslo 1064235 532
8 DE Berlin 4473101 559
2 GE Tbilisi 1118035 559
25 RU Moscow 17332000 693
2 IL Tel Aviv-Yafo 1388400 694
2 UA Kharkiv 1446107 723
2 JP Kyoto 1464890 732
2 RU Novosibirsk 1625631 813
2 BE Brussels 1743000 872
4 CA Montreal 3519595 880
6 RU Saint Petersburg 5384342 897
2 US Orlando 1927699 964
3 UA Kyiv 2963199 988
37 JP Tokyo 37732000 1020
2 CA Vancouver 2264823 1132
2 DE Hamburg 2484800 1242
3 JP Yokohama 3757630 1253
2 MG Antananarivo 2610000 1305
2 GB Manchester 2705000 1353
4 CA Toronto 5429524 1357
8 GB London 11262000 1408
2 DZ Algiers 3415811 1708
2 ES Barcelona 4800000 2400
3 HK Hong Kong 7450000 2483
2 SG Singapore 5983000 2992
5 JP Osaka 15126000 3025
2 CO Bogota 7968095 3984
4 TR Istanbul 16079000 4020
2 TW Taipei 9078000 4539
2 VN Ho Chi Minh City 15136000 7568
2 IN Bangalore 15386000 7693
3 BR São Paulo 23086000 7695
2 AR Buenos Aires 16710000 8355

Top 32 Solo Cities (single strong user representing the city in the global Top 1000):

# ISO2 CITY POPULATION RANK USER
1 PL Pszczyna 25565 4 @marwar22
2 DE Nuremberg 515543 10 @eulerscheZahl
3 KR Dongtan 406036 14 therealbeef
4 CH Echallens 4750 22 AndreasHuber
5 US Madison 461778 25 skotz
6 RU Kirov 501468 35 CyberEcho
7 PL Łódź 690422 39 @GSpryszynski
8 JP Okinawa 142094 43 @siman
9 MT Rabat 11497 58 Anonymous
10 JP Kawasaki 1539522 88 Risen
11 US Palo Alto 68624 92 @KAKAROT_MPL
12 PL Mysłowice 72553 101 @Bulgot
13 RU Voronezh 1050602 108 ndc
14 CN Shanghai 24073000 113 mebusy
15 UY Montevideo 1719453 120 IloIlo
16 IT Bari 323370 124 geppoz
17 CA Lethbridge 92729 126 SirBosworth
18 IT Brescia 196745 128 PiterYeh
19 DE Bremen 566573 144 xoposhiy
20 JP Susono 50510 149 jkosaka
21 KZ Almaty 1916822 153 Drobor
22 ES Castellón de la Plana 172589 155 Leos
23 LT Vilnius 708203 174 Poviliukas
24 RU Dzerzhinsk 231797 175 Adler3D
25 RU Tomsk 572740 184 tutubalin
26 US Atlanta 5046555 186 LeifTerry
27 DE Munich 2606021 197 N0sf3
28 SK Prešov 88680 202 PetyFloyd
29 BY Minsk 2009786 207 Eswcvlad
30 YT Dzaoudzi 17831 211 Telokis
31 JP Iwakuni 128401 213 field3
32 JP Koshigaya 346768 218 highjump

… and others. // in csv on gist.github.com
// sorry for excluding those who did not provide their city

My main observations:

  • The Power of Small & Focused Hubs
    Cities like Esztergom (Hungary), Cambridge (UK), Brest (Belarus), Wroclaw (Poland) and Lausanne (Switzerland) show surprisingly high density. It seems smaller or academically-oriented environments can foster deeper focus.

  • The Solo Hero Phenomenon
    A large portion of the Top 1000 comes from cities represented by just one hero. These are clear outliers who built their skill largely on their own.

  • The Megacity Underperformance
    Major tech and business hubs with hundreds of thousands of developers are either missing or show very low density. It looks like in these cities a lot of talent goes into product development, startups, high-paying jobs and career climbing — leaving less room for pure competitive algorithmic training.

One important caveat: this data is CodinGame-specific and reflects participation + performance on this particular platform.

Still, the pattern is intriguing.

Does becoming a top-tier algorithmic thinker require a strong local ecosystem (universities, communities, competitions)? Or can it emerge almost anywhere through raw personal discipline and focus — even despite the environment?

If you’re from one of the dense small hubs or especially from a solo city — I’d love to hear your story:

  • Did your city actually help you reach this level, or was it mostly your own stubbornness?

  • Do you feel supported by your local environment, or did you grind mostly in isolation?

Looking forward to your thoughts and experiences!

2 Likes
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Interesting analysis

From my experience I can say: “it emerge almost anywhere through raw personal discipline and focus — even despite the environment”. This is exactly my story. I worked as C++ developer so I knew how to code, at some point of my life I found competitive algorithmic page and loved it so much that I fully focused on that at that time. The problem was I had no one around who would share similar passion. And that was for a long time. Many years later, when I switched to CodinGame I found one person (thanks) who was really into algorithmic and helped me a lot to improve my bot programming (majority of the CG contests).

I would say not many professional coders are really interested in algorithmic contests, also not many very good professional coders are actually good at algorithmic skills (despite algorithmic being used for most of the coding reviews in business) - maybe this is the reason why big codding hubs do not shine in those contests (but still having only one person from Shanghai is mind-blowing).

Definitely at some point you cannot improve anymore only by yourself. I already stuck at some level and barely can move on. On the other side, I have some insight on the Wroclaw team work and you can see how well they perform, how they elevate themself.

So its all about passion and willingness to learn, then about having luckily and meet similar people to learn from.

That’s my story

1 Like
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My journey started when a fellow student recommended Project Euler to me, almost 15 years ago. I already knew how to code at that time, but didn’t use my knowledge on algorithmic problems before. I got hooked instantly and spent a day reinventing what I later found out to be Dijkstra’s algorithm.

Later I moved on to other platforms like hacker.org, CodinGame, Topcoder, codeforces (just the few optimization contests).

While it’s true that I rarely have contact with other competitive programmers in real life, I don’t feel isolated. I was fighting on my own, when I still learned the basics. But now I’m well connected with other contestants online at least, be it for concrete questions or just casual chatting. A few years ago CodinGame had a chat integrated on the website directly, which certainly helped to make the first step.

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Nice find.

I’m actually surprised (and quite honored) to be on second list, as I don’t even consider myself a programmer. I have never worked in typical programming job and do not aspire to.

For me it started as a way to learn basics of coding in less boring way, as i always liked games, puzzles and solving problems. After learning basics of python, well, I kept playing, because of fun and some competition, especially when game feels like solving a puzzle. And I still consider that playing rather than coding.

From what I heard, people had opposite reactions to such contests:

  1. To hard :
  • “I don’t know programming enough”
  1. Not worth it:
  • “I would rather make some serious project”
  • “I’m not coding at home after coding at work”

So I believe I’m in some narrow goldilocks zone, where I know python enough to be able to play, but I don’t treat coding seriosuly so I keep having fun.

And that is how I would try to explain your find. Living in big cities, where programming is way to live for many, can lead to “not worth it” mindset, as being too silly or not rewarding enough in comparison to jobs around them.

Cheers,

3 Likes