SEOUL COMMERCIAL AREA

서울역 12번 골목상권

용산구남영동· Area 105,922 m² · Area code 3110074 · Boundary 2023-10 (2023-10-20)

Quarterly statistics by industry that the Seoul commercial analysis service aggregates for this area. Sales are the city's estimates; this is a different count from the shops inside a radius and says nothing about any single shop.

Listed by the newest quarter's store count; not a rating or ranking.

Seoul commercial-area market 서울역 12번 · 골목상권 · 용산구 남영동 · Area page →

슈퍼마켓 Seoul data for 2025 Q4

Market size
Estimated sales (quarter)
₩16.2M
vs 2024Q4
-10.1%
Estimated transactions
1,727
Competition
Stores
11
vs a year ago
+22.2%
Franchise share
18% (2/11)
Per-store economics
Estimated sales per store
₩1.5M
vs a year ago
-26.4%
Per transaction
₩9K
Movement
Openings (rate)
0 (0%)
Closings (rate)
0 (0%)
Net store change
±0

Pattern (descriptive, not a score): Possible crowding 점포↑ 매출 정체 점포당↓

Estimated sales 2024 Q1 → 2025 Q4
₩8M₩16.2M
Stores 2024 Q1 → 2025 Q4
911
Sales per store 2024 Q1 → 2025 Q4
₩893K₩1.5M
Customer timing and mix (share of estimated sales, 2025 Q4)
Weekday / weekend
  • Weekday95%
  • Weekend5%
Time of day
  • 00–060%
  • 06–1150%
  • 11–145%
  • 14–1722%
  • 17–2119%
  • 21–243%
Day of week
  • Mon25%
  • Tue9%
  • Wed9%
  • Thu38%
  • Fri15%
  • Sat3%
  • Sun2%
Gender
  • Male87%
  • Female13%
Age
  • 10s0%
  • 20s2%
  • 30s5%
  • 40s1%
  • 50s10%
  • 60+81%
All quarters (20, from 2021 Q1)
QuarterEst. salesYoYStoresYoYPer storeYoYOpenCloseFranchisePattern
2025Q4₩16.2M-10.1%11+22.2%₩1.5M-26.4%0018%Possible crowding
2025Q3₩28.7M+59.8%11+37.5%₩2.6M+16.2%1018%Growing
2025Q2₩28.7M+103.9%10+11.1%₩2.9M+83.5%0020%Growing
2025Q1₩18.2M+126.8%10+11.1%₩1.8M+104.1%1020%Growing
2024Q4₩18M+152.4%90.0%₩2M+152.4%1022%Growing
2024Q3₩18M+199.8%8-11.1%₩2.2M+237.3%0125%Mixed
2024Q2₩14.1M+147.1%90.0%₩1.6M+147.1%0022%Growing
2024Q1₩8M+58.2%90.0%₩893K+58.2%0022%Growing
2023Q4₩7.1M+71.5%90.0%₩793K+71.5%0022%Growing
2023Q3₩6M+27.9%90.0%₩666K+27.9%0022%Growing
2023Q2₩5.7M+28.8%90.0%₩633K+28.8%0022%Growing
2023Q1₩5.1M+445.0%90.0%₩565K+445.0%0022%Growing
2022Q4₩4.2M+42.2%9-10.0%₩462K+58.0%0022%Mixed
2022Q3₩4.7M-50.9%9-10.0%₩521K-45.4%0022%Shrinking
2022Q2₩4.4M-23.8%9-10.0%₩491K-15.3%0022%Shrinking
2022Q1₩933K-79.4%9-10.0%₩104K-77.1%0122%Shrinking
2021Q4₩2.9M10₩293K0020%
2021Q3₩9.5M10₩955K0020%
2021Q2₩5.8M10₩580K0020%
2021Q1₩4.5M10₩452K0020%

Seoul commercial-area boundaries (상권 영역) 2023-10-20·Seoul commercial-area store statistics (점포-상권) 2025-12-31·Seoul commercial-area estimated sales (추정매출-상권) 2025-12-31

Source: Seoul Metropolitan Government and Seoul Credit Guarantee Foundation, Seoul Commercial Analysis Service (KOGL type 1, attribution). NumLM Biz processes and analyses the original data.

Meaning & limits

Quarterly sales the city estimates from card data and area-level store statistics. Not actual takings, not the state of any shop, and a different count from the shops inside the radius. Industries are matched approximately to this site's types. The pattern names the direction of sales, stores and sales per store against a year earlier; it is not a score or a recommendation, and the same pattern can be read as opportunity or risk.

Boundaries come from the 2023-10 file; in 2024 the Seoul service changed its spatial unit. The area codes are the same set in every year 2021–2025 here, but keep the change in mind when reading long series.

Full series 2021 Q1 → 2025 Q4 · 20 quarters

Estimated sales (quarter)₩933K – ₩28.7M
20212022202320242025
₩4.5M₩16.2M
Stores8 – 11
20212022202320242025
1011
Sales per store₩104K – ₩2.9M
20212022202320242025
₩452K₩1.5M
Openings0 – 1
20212022202320242025
00
Closings0 – 1
20212022202320242025
00
Franchise share18% – 25%
20212022202320242025
20%18%

Lines join the values as recorded; a quarter without data breaks the line. Each chart is scaled to its own range. Latest sales YoY -10.1%, stores YoY +22.2%.

Source: Seoul Metropolitan Government and Seoul Credit Guarantee Foundation, Seoul Commercial Analysis Service (KOGL type 1, attribution). NumLM Biz processes and analyses the original data.