Analysis of Commercial Areas by Late-Night Sales Share in Seoul, Q1 2026
Period: 2026년 1분기 · Translated from the Korean original.
In Q1 2026, Kkachisan Station Exit 3 had the highest late-night sales share (21–06), at 52.4%. The average across 1,163 commercial areas in Seoul was 11.8%, and 59 areas had a late-night share above 30%.
Key findings
- Kkachisan Station Exit 3 (Gangseo-gu) had the highest late-night sales share among the top 10, at 52.4%.
- Late-night shares among the top 10 commercial areas ranged from 41.7% to 52.4%.
- The average late-night sales share across 1,163 commercial areas was 11.8%.
- A total of 59 commercial areas had a late-night sales share above 30%.
- Dongdaemun Station Exit 3 had the largest year-on-year increase, at +11.4 percentage points.
- In the table of the top 10 areas, Sungshin Women's Univ. Station Exit 1 had the largest year-on-year increase (+3.3 percentage points), while Yanghwadaegyo Bukdan had the largest decline (-6.6 percentage points).
Analysis
Kkachisan Station Exit 3 ranks first for late-night share
Kkachisan Station Exit 3 had the highest late-night sales share among the top 10 commercial areas, at 52.4%. It was followed by Sangbong Station Exit 3 (47.9%) and Sungshin Women's Univ. Station Exit 1 (46.8%). All 10 areas had shares of at least 41.7%.
Year-on-year changes among areas with high late-night shares
In the provided table of the top 10 areas, Sungshin Women's Univ. Station Exit 1 posted the largest increase from the previous year, rising 3.3 percentage points. Yanghwadaegyo Bukdan fell 6.6 percentage points, the largest decline in the table. Across all commercial areas, Dongdaemun Station Exit 3 had the largest increase, at 11.4 percentage points.
Comparison with Seoul overall
The average late-night sales share across 1,163 commercial areas in Seoul was 11.8%, and 59 areas had a share above 30%. The figures for the top areas are higher than the Seoul average, but this indicator alone cannot be used to compare sales amounts or business performance.
Compare shares by time period
The table breaks down the late-night share into 21–24 and 00–06. For example, Kkachisan Station Exit 3 recorded 26.3% for 21–24 and 26.1% for 00–06. The distribution between the two time periods varies by commercial area.
Time-Period Shares and Year-on-Year Changes for Commercial Areas with the Highest Late-Night Sales Shares
| Commercial area | District | Type | Late-night share | 21–24 | 00–06 | Year-on-year change (percentage points) |
|---|---|---|---|---|---|---|
| 까치산역 3번 | 강서구 | 골목상권 | 52.4% | 26.3% | 26.1% | 0.9 |
| 상봉역 3번 | 중랑구 | 골목상권 | 47.9% | 32% | 15.9% | -1.7 |
| 성신여대입구역 1번 | 성북구 | 골목상권 | 46.8% | 34.1% | 12.7% | 3.3 |
| 가산동우체국 | 금천구 | 골목상권 | 46% | 28.2% | 17.8% | -1.7 |
| 논현역 4번 | 서초구 | 발달상권 | 45.9% | 26.5% | 19.4% | 0.7 |
| 건대입구역 1번 | 광진구 | 골목상권 | 42.9% | 26.9% | 16% | -3.3 |
| 독산동 맛나는거리상점가(독산동 맛나는거리) | 금천구 | 전통시장 | 42.8% | 30.3% | 12.5% | -1.6 |
| 한국SGI본부 | 구로구 | 골목상권 | 42.3% | 32.6% | 9.7% | -0.4 |
| 양화대교북단 | 마포구 | 골목상권 | 41.8% | 20.2% | 21.7% | -6.6 |
| 석계역 2번 | 노원구 | 골목상권 | 41.7% | 28.8% | 12.9% | -0.3 |
| 서원동상점가 | 관악구 | 전통시장 | 41.4% | 24% | 17.4% | 1.1 |
| 가락시장 | 송파구 | 발달상권 | 40.5% | 12.5% | 28% | 2.3 |
| 방이동먹자골목 | 송파구 | 발달상권 | 40.4% | 27% | 13.5% | -1.9 |
| 상수역 4번 | 마포구 | 골목상권 | 39.7% | 28.3% | 11.4% | -3 |
| 한양대앞상점가(한양시장, 왕십리맛골목) | 성동구 | 전통시장 | 38.5% | 25.6% | 12.9% | -0.3 |
| 개화산역 1번 | 강서구 | 골목상권 | 37.9% | 21.9% | 16% | -0.9 |
| 송파나루역 2번 | 송파구 | 골목상권 | 37.8% | 30.1% | 7.7% | 1.4 |
| 홍익지구대 | 마포구 | 골목상권 | 37.6% | 27.1% | 10.5% | -1.3 |
| 신림역 5번(신림동주민센터, 신림동별빛거리) | 관악구 | 골목상권 | 36.3% | 24.3% | 12% | -2.4 |
| 이태원(이태원역) | 용산구 | 발달상권 | 36.3% | 16.2% | 20.2% | 1.1 |
Read with care
- The late-night sales share is the proportion of total sales generated during those hours; it does not indicate the sales amount itself.
- The chart and table show the commercial areas with the highest late-night sales shares, and do not represent the distribution across all commercial areas in Seoul.
- The figures are for Q1 2026 and are based on the Flap Seoul Commercial Area Index, the Seoul Open Data Plaza Commercial Area Analysis Service, and the Small Enterprise and Market Service's Store (Commercial Area) Information.
Method & sources
Figures were aggregated by code from the source data; the commentary was written by AI using only these figures.