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신발 Seoul data for 2025 Q4
Market size
- Estimated sales (quarter)
- —
- vs 2024Q4
- —
- Estimated transactions
- —
Competition
- Stores
- 159
- vs a year ago
- -13.1%
- Franchise share
- 0% (0/159)
Per-store economics
- Estimated sales per store
- —
- vs a year ago
- —
- Per transaction
- —
Movement
- Openings (rate)
- 0 (0%)
- Closings (rate)
- 1 (1%)
- Net store change
- −1
Pattern (descriptive, not a score): needs a year-ago quarter
All quarters (20, from 2021 Q1)
| Quarter | Est. sales | YoY | Stores | YoY | Per store | YoY | Open | Close | Franchise | Pattern |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025Q4 | — | — | 159 | -13.1% | — | — | 0 | 1 | 0% | — |
| 2025Q3 | — | — | 160 | -15.8% | — | — | 0 | 5 | 0% | — |
| 2025Q2 | — | — | 165 | -17.5% | — | — | 0 | 8 | 0% | — |
| 2025Q1 | — | — | 173 | -16.4% | — | — | 0 | 10 | 0% | — |
| 2024Q4 | — | — | 183 | -14.5% | — | — | 0 | 7 | 0% | — |
| 2024Q3 | — | — | 190 | -12.4% | — | — | 0 | 10 | 0% | — |
| 2024Q2 | — | — | 200 | -8.3% | — | — | 0 | 7 | 0% | — |
| 2024Q1 | — | — | 207 | -5.5% | — | — | 0 | 7 | 0% | — |
| 2023Q4 | — | — | 214 | -4.0% | — | — | 3 | 6 | 0% | — |
| 2023Q3 | — | — | 217 | -2.3% | — | — | 2 | 3 | 0% | — |
| 2023Q2 | — | — | 218 | -3.1% | — | — | 1 | 2 | 0% | — |
| 2023Q1 | — | — | 219 | -1.8% | — | — | 4 | 8 | 0% | — |
| 2022Q4 | — | — | 223 | -0.4% | — | — | 3 | 2 | 0% | — |
| 2022Q3 | — | — | 222 | -2.2% | — | — | 2 | 5 | 0% | — |
| 2022Q2 | — | — | 225 | -2.2% | — | — | 4 | 2 | 0% | — |
| 2022Q1 | — | — | 223 | -1.8% | — | — | 2 | 3 | 0% | — |
| 2021Q4 | — | — | 224 | — | — | — | 3 | 6 | 0% | — |
| 2021Q3 | — | — | 227 | — | — | — | 3 | 6 | 0% | — |
| 2021Q2 | — | — | 230 | — | — | — | 5 | 2 | 0% | — |
| 2021Q1 | — | — | 227 | — | — | — | 6 | 5 | 0% | — |
Area detail →every quarter since 2021, other industries, the boundary on the map
Seoul commercial-area boundaries (상권 영역) 2023-10-20·Seoul commercial-area store statistics (점포-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.