SEOUL COMMERCIAL AREA

몽촌토성역 Developed area

Songpa-gu (송파구) 방이2동· Area 115,003 m² · Area code 3120233 · Boundary 2023-10 (2023-10-20)

Quarterly statistics by industry that the Seoul commercial analysis service aggregates for this area. Top to bottom: three figures → reading → market change → competition change → customers → detailed data → sources and caveats.

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

일반의류 2025 Q4 · Seoul data

Estimated sales (quarter)₩115.8MYoY
Stores7▼ -22.2% YoY
Sales per store₩16.5MYoY

Reading this area There is no quarter a year earlier, so the changes cannot be computed.

Market change how size and per-store sales moved
Change 2022 Q3 → 2025 Q4
Estimated sales▼ -23.9%
Stores±0.0%
Sales per store▼ -23.9%
Market size
Estimated sales (quarter)
₩115.8M
vs 2024Q4
Estimated transactions
254
Per-store economics
Estimated sales per store
₩16.5M
vs a year ago
Per transaction
₩456K
Quarter-by-quarter series (20 quarters)

Full series 2021 Q1 → 2025 Q4 · 20 quarters

Estimated sales (quarter)₩12.9M – ₩152.1M
20212022202320242025
₩115.8M
Stores6 – 13
20212022202320242025
137
Sales per store₩1.3M – ₩21.7M
20212022202320242025
₩16.5M
Openings0 – 2
20212022202320242025
01
Closings0 – 4
20212022202320242025
00
Franchise share15% – 33%
20212022202320242025
15%29%

⚠ Dashed vertical line: the 2024 change of the city’s spatial unit. Keep it in mind when reading across it.

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

Competition change stores, openings, closings, franchise
Competition
Stores
7
vs a year ago
-22.2%
Franchise share
29% (2/7)
Movement
Openings (rate)
1 (11%)
Closings (rate)
0 (0%)
Net store change
+1
Estimated sales 2024 Q1 → 2025 Q4
₩115.8M
Stores 2024 Q1 → 2025 Q4
117
Sales per store 2024 Q1 → 2025 Q4
₩16.5M

⚠ Vertical line: the 2024 change of the city's spatial unit

Customers when and who (share of estimated sales)
Time of day
  • 00–060%
  • 06–1185%
  • 11–141%
  • 14–1713%
  • 17–212%
  • 21–240%
Age
  • 10s0%
  • 20s2%
  • 30s1%
  • 40s9%
  • 50s3%
  • 60+85%
Weekday / weekend
  • Weekday94%
  • Weekend6%
Day of week
  • Mon0%
  • Tue0%
  • Wed85%
  • Thu0%
  • Fri9%
  • Sat3%
  • Sun3%
Gender
  • Male85%
  • Female15%

Each split's share of estimated sales in 2025 Q4.

Detailed data every quarter, raw and derived
All quarters (20, from 2021 Q1)
QuarterEst. salesYoYStoresYoYPer storeYoYOpenCloseFranchisePattern
2025Q4₩115.8M7-22.2%₩16.5M1029%
2025Q3₩65.1M+87.3%6-45.5%₩10.8M+243.4%0133%Mixed
2025Q27-36.4%0029%
2025Q17-36.4%0229%
2024Q49-10.0%0222%
2024Q3₩34.7M-41.0%11+10.0%₩3.2M-46.4%0018%Possible crowding
2024Q2110.0%0018%
2024Q111+10.0%1018%
2023Q4₩12.9M10+11.1%₩1.3M0020%
2023Q3₩58.9M-61.3%10+42.9%₩5.9M-72.9%0120%Possible crowding
2023Q211+57.1%1018%
2023Q110+25.0%1020%
2022Q49-25.0%2022%
2022Q3₩152.1M7-46.2%₩21.7M0029%
2022Q27-46.2%0129%
2022Q18-38.5%0425%
2021Q4120117%
2021Q3130015%
2021Q2130015%
2021Q1130015%
Sources and caveats

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. Arrows show direction only, not good or bad.

⚠ 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; the vertical line in the charts marks it.