SEOUL COMMERCIAL AREA

GS강동자이아파트 골목상권

강동구길동· Area 81,524 m² · Area code 3111083 · 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 GS강동자이아파트 · 골목상권 · 강동구 길동 · Area page →

호프-간이주점 Seoul data for 2025 Q4

Market size
Estimated sales (quarter)
₩70.9M
vs 2024Q4
-35.1%
Estimated transactions
1,315
Competition
Stores
6
vs a year ago
-25.0%
Franchise share
17% (1/6)
Per-store economics
Estimated sales per store
₩11.8M
vs a year ago
-13.4%
Per transaction
₩54K
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
₩88.5M₩70.9M
Stores 2024 Q1 → 2025 Q4
86
Sales per store 2024 Q1 → 2025 Q4
₩11.1M₩11.8M
Customer timing and mix (share of estimated sales, 2025 Q4)
Weekday / weekend
  • Weekday75%
  • Weekend25%
Time of day
  • 00–0610%
  • 06–116%
  • 11–140%
  • 14–171%
  • 17–2128%
  • 21–2455%
Day of week
  • Mon13%
  • Tue7%
  • Wed25%
  • Thu14%
  • Fri16%
  • Sat12%
  • Sun12%
Gender
  • Male53%
  • Female47%
Age
  • 10s0%
  • 20s3%
  • 30s9%
  • 40s22%
  • 50s31%
  • 60+35%
All quarters (20, from 2021 Q1)
QuarterEst. salesYoYStoresYoYPer storeYoYOpenCloseFranchisePattern
2025Q4₩70.9M-35.1%6-25.0%₩11.8M-13.4%0017%Shrinking
2025Q3₩76M-34.7%6-33.3%₩12.7M-2.0%0117%Shrinking
2025Q2₩80.7M-29.9%7-12.5%₩11.5M-19.9%0014%Shrinking
2025Q1₩74.7M-15.6%7-12.5%₩10.7M-3.6%0114%Shrinking
2024Q4₩109.3M+2.3%80.0%₩13.7M+2.3%0113%Mixed
2024Q3₩116.3M-8.5%90.0%₩12.9M-8.5%1011%Mixed
2024Q2₩115.1M-2.7%8-11.1%₩14.4M+9.5%0113%Possible recovery
2024Q1₩88.5M-34.0%8-11.1%₩11.1M-25.8%0025%Shrinking
2023Q4₩106.8M-1.0%8-11.1%₩13.4M+11.4%0125%Possible recovery
2023Q3₩127.2M+16.8%9-10.0%₩14.1M+29.8%1122%Mixed
2023Q2₩118.3M-14.3%90.0%₩13.1M-14.3%2222%Mixed
2023Q1₩134.1M+58.2%90.0%₩14.9M+58.2%0022%Growing
2022Q4₩107.8M-13.7%90.0%₩12M-13.7%0122%Mixed
2022Q3₩108.9M+15.6%10+11.1%₩10.9M+4.0%1020%Growing
2022Q2₩138M+58.4%90.0%₩15.3M+58.4%0022%Growing
2022Q1₩84.8M+7.1%90.0%₩9.4M+7.1%0022%Growing
2021Q4₩125M9₩13.9M0022%
2021Q3₩94.2M9₩10.5M1122%
2021Q2₩87.1M9₩9.7M0022%
2021Q1₩79.1M9₩8.8M0022%

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)₩70.9M – ₩138M
20212022202320242025
₩79.1M₩70.9M
Stores6 – 10
20212022202320242025
96
Sales per store₩8.8M – ₩15.3M
20212022202320242025
₩8.8M₩11.8M
Openings0 – 2
20212022202320242025
00
Closings0 – 2
20212022202320242025
00
Franchise share11% – 25%
20212022202320242025
22%17%

Lines join the values as recorded; a quarter without data breaks the line. Each chart is scaled to its own range. Latest sales YoY -35.1%, stores YoY -25.0%.

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.