SEOUL COMMERCIAL AREA

우리은행체육관 골목상권

성북구장위2동· Area 88,610 m² · Area code 3110329 · 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 우리은행체육관 · 골목상권 · 성북구 장위2동 · Area page →

한식음식점 Seoul data for 2025 Q4

Market size
Estimated sales (quarter)
₩575.6M
vs 2024Q4
-14.8%
Estimated transactions
13,891
Competition
Stores
11
vs a year ago
-26.7%
Franchise share
18% (2/11)
Per-store economics
Estimated sales per store
₩52.3M
vs a year ago
+16.2%
Per transaction
₩41K
Movement
Openings (rate)
0 (0%)
Closings (rate)
0 (0%)
Net store change
±0

Pattern (descriptive, not a score): Shrinking 매출↓ 점포↓

Estimated sales 2024 Q1 → 2025 Q4
₩657.3M₩575.6M
Stores 2024 Q1 → 2025 Q4
1611
Sales per store 2024 Q1 → 2025 Q4
₩41.1M₩52.3M
Customer timing and mix (share of estimated sales, 2025 Q4)
Weekday / weekend
  • Weekday58%
  • Weekend42%
Time of day
  • 00–061%
  • 06–110%
  • 11–1420%
  • 14–1713%
  • 17–2151%
  • 21–2414%
Day of week
  • Mon9%
  • Tue11%
  • Wed13%
  • Thu12%
  • Fri14%
  • Sat24%
  • Sun18%
Gender
  • Male61%
  • Female39%
Age
  • 10s0%
  • 20s6%
  • 30s16%
  • 40s26%
  • 50s24%
  • 60+27%
All quarters (20, from 2021 Q1)
QuarterEst. salesYoYStoresYoYPer storeYoYOpenCloseFranchisePattern
2025Q4₩575.6M-14.8%11-26.7%₩52.3M+16.2%0018%Shrinking
2025Q3₩579.8M-15.8%11-31.3%₩52.7M+22.5%0018%Shrinking
2025Q2₩677.4M-5.8%11-35.3%₩61.6M+45.6%0218%Shrinking
2025Q1₩629.8M-4.2%13-18.8%₩48.4M+17.9%0215%Shrinking
2024Q4₩675.7M-8.8%15-6.3%₩45M-2.7%0113%Shrinking
2024Q3₩688.4M-10.5%16-5.9%₩43M-4.9%2313%Shrinking
2024Q2₩719M+3.8%170.0%₩42.3M+3.8%1012%Growing
2024Q1₩657.3M+14.9%16+6.7%₩41.1M+7.7%0013%Growing
2023Q4₩741.1M+19.7%16+6.7%₩46.3M+12.2%0113%Growing
2023Q3₩769.1M+25.0%17+21.4%₩45.2M+2.9%0012%Mixed
2023Q2₩692.9M+10.7%17+21.4%₩40.8M-8.8%2012%Competition inflow
2023Q1₩572M+25.0%15+25.0%₩38.1M-0.0%0013%Mixed
2022Q4₩619.2M+55.7%15+36.4%₩41.3M+14.2%1013%Growing
2022Q3₩615.3M+52.1%14+27.3%₩43.9M+19.5%0014%Growing
2022Q2₩625.9M+41.8%14+16.7%₩44.7M+21.5%2014%Growing
2022Q1₩457.6M+35.3%120.0%₩38.1M+35.3%1017%Growing
2021Q4₩397.6M11₩36.1M0018%
2021Q3₩404.7M11₩36.8M0118%
2021Q2₩441.5M12₩36.8M3217%
2021Q1₩338.2M12₩28.2M008%

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)₩338.2M – ₩769.1M
20212022202320242025
₩338.2M₩575.6M
Stores11 – 17
20212022202320242025
1211
Sales per store₩28.2M – ₩61.6M
20212022202320242025
₩28.2M₩52.3M
Openings0 – 3
20212022202320242025
00
Closings0 – 3
20212022202320242025
00
Franchise share8% – 18%
20212022202320242025
8%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 -14.8%, stores YoY -26.7%.

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.