The Seoul Bike Index
Gangseo-gu had the most public-bike rentals among Seoul districts, with 2,216,104 from Jan to Jun 2026, according to Seoul Public Bike rentals by station, monthly (Seoul Open Data Plaza).
Where Seoul's public bikes actually get ridden. 17,978,894 rentals across all 25 districts over 2026, months 1–6 (6 months), from 2,799 docking stations.
Source: Seoul Public Bike rentals by station, monthly (Seoul Open Data Plaza) (서울특별시 공공자전거 대여소별 이용정보(월별)) — Seoul Metropolitan Government (서울특별시). 2026, months 1–6 (6 months). Retrieved 2026-09-10.
- 1Gangseo-gu198 stationsnet -6,7282,216,104
- 2Songpa-gu219 stationsnet -4,5211,711,149
- 3Yeongdeungpo-gu179 stationsnet -29,8531,691,099
- 4Yangcheon-gu112 stationsnet +7,4701,134,232
- 5Nowon-gu151 stationsnet -1,1271,040,683
- 6Gwangjin-gu89 stationsnet -14,683896,776
- 7Gangdong-gu123 stationsnet +8,065874,668
- 8Mapo-gu121 stationsnet +5,410860,039
- 9Guro-gu115 stationsnet -1,006738,293
- 10Seongdong-gu94 stationsnet +2,055692,540
- 11Gangnam-gu176 stationsnet -23,687615,712
- 12Dongdaemun-gu91 stationsnet +16,439600,427
- 13Seocho-gu147 stationsnet -3,673560,419
- 14Jongno-gu99 stationsnet -24,103546,789
- 15Jungnang-gu96 stationsnet +6,370461,648
- 16Jung-gu92 stationsnet -15,682408,130
- 17Eunpyeong-gu96 stationsnet +8,145405,698
- 18Dobong-gu78 stationsnet +429361,761
- 19Seongbuk-gu81 stationsnet +154351,917
- 20Yongsan-gu87 stationsnet -2,840347,176
- 21Seodaemun-gu82 stationsnet -15,897342,422
- 22Gwanak-gu71 stationsnet -3,233312,586
- 23Dongjak-gu72 stationsnet +806305,787
- 24Geumcheon-gu73 stationsnet -38288,630
- 25Gangbuk-gu57 stationsnet -2,183214,209
Practical takeaways
- Gangseo-gu tops the table with 2,216,104 rentals, 10.3 times bottom-ranked Gangbuk-gu.
- Bikes drain fastest out of Yeongdeungpo-gu (net -29,853) and pile up most in Dongdaemun-gu (net +16,439) — people do not return them where they took them.
- Per docking station, Gangseo-gu is busiest at 11,192 rentals each — the totals ranking and the per-station ranking are not the same.
Computed only from the table above — nothing added from outside this dataset.
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