SEOUL COMMERCIAL AREA

수유시장옆 골목상권

강북구수유3동· Area 135,413 m² · Area code 3110359 · 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 수유시장옆 · 골목상권 · 강북구 수유3동 · Area page →

한식음식점 Seoul data for 2025 Q4

Market size
Estimated sales (quarter)
₩588M
vs 2024Q4
-15.2%
Estimated transactions
9,782
Competition
Stores
19
vs a year ago
0.0%
Franchise share
16% (3/19)
Per-store economics
Estimated sales per store
₩30.9M
vs a year ago
-15.2%
Per transaction
₩60K
Movement
Openings (rate)
1 (5%)
Closings (rate)
2 (9%)
Net store change
−1

Pattern (descriptive, not a score): Mixed 한 방향으로 읽히지 않음

Estimated sales 2024 Q1 → 2025 Q4
₩820.8M₩588M
Stores 2024 Q1 → 2025 Q4
1619
Sales per store 2024 Q1 → 2025 Q4
₩51.3M₩30.9M
Customer timing and mix (share of estimated sales, 2025 Q4)
Weekday / weekend
  • Weekday73%
  • Weekend27%
Time of day
  • 00–061%
  • 06–110%
  • 11–1424%
  • 14–179%
  • 17–2155%
  • 21–2411%
Day of week
  • Mon16%
  • Tue11%
  • Wed15%
  • Thu13%
  • Fri18%
  • Sat20%
  • Sun7%
Gender
  • Male67%
  • Female33%
Age
  • 10s0%
  • 20s7%
  • 30s18%
  • 40s18%
  • 50s28%
  • 60+30%
All quarters (20, from 2021 Q1)
QuarterEst. salesYoYStoresYoYPer storeYoYOpenCloseFranchisePattern
2025Q4₩588M-15.2%190.0%₩30.9M-15.2%1216%Mixed
2025Q3₩563.5M-12.3%21+16.7%₩26.8M-24.8%0010%Possible crowding
2025Q2₩633.9M-24.3%21+23.5%₩30.2M-38.7%2210%Possible crowding
2025Q1₩638.4M-22.2%20+25.0%₩31.9M-37.8%1015%Possible crowding
2024Q4₩693.8M-2.3%19+35.7%₩36.5M-28.0%1016%Possible crowding
2024Q3₩642.2M-8.7%18+28.6%₩35.7M-29.0%1017%Possible crowding
2024Q2₩837.1M+16.1%17+21.4%₩49.2M-4.4%2118%Competition inflow
2024Q1₩820.8M+17.3%16+23.1%₩51.3M-4.7%3119%Competition inflow
2023Q4₩710M-20.1%14+7.7%₩50.7M-25.8%1121%Possible crowding
2023Q3₩703.5M-7.4%14+7.7%₩50.3M-14.0%0021%Possible crowding
2023Q2₩721.2M-34.6%140.0%₩51.5M-34.6%1021%Mixed
2023Q1₩699.5M+19.0%13-7.1%₩53.8M+28.2%0023%Mixed
2022Q4₩888.9M+69.5%13-13.3%₩68.4M+95.6%0023%Mixed
2022Q3₩760M+80.9%13-7.1%₩58.5M+94.8%0123%Mixed
2022Q2₩1,103.1M+126.9%140.0%₩78.8M+126.9%0021%Growing
2022Q1₩587.8M+25.6%140.0%₩42M+25.6%0121%Growing
2021Q4₩524.5M15₩35M1020%
2021Q3₩420.2M14₩30M0121%
2021Q2₩486.2M14₩34.7M1029%
2021Q1₩468M14₩33.4M0021%

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)₩420.2M – ₩1,103.1M
20212022202320242025
₩468M₩588M
Stores13 – 21
20212022202320242025
1419
Sales per store₩26.8M – ₩78.8M
20212022202320242025
₩33.4M₩30.9M
Openings0 – 3
20212022202320242025
01
Closings0 – 2
20212022202320242025
02
Franchise share10% – 29%
20212022202320242025
21%16%

Lines join the values as recorded; a quarter without data breaks the line. Each chart is scaled to its own range. Latest sales YoY -15.2%, stores YoY 0.0%.

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.