NumLM Biz여관 2025 Q4 · Seoul data
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
Market size
- Estimated sales (quarter)
- —
- vs 2024Q4
- —
- Estimated transactions
- —
Per-store economics
- Estimated sales per store
- —
- vs a year ago
- —
- Per transaction
- —
Quarter-by-quarter series (20 quarters)
Full series 2021 Q1 → 2025 Q4 · 20 quarters
⚠ 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 0.0%.
Competition change stores, openings, closings, franchise
Competition
- Stores
- 3
- vs a year ago
- 0.0%
- Franchise share
- 33% (1/3)
Movement
- Openings (rate)
- 0 (0%)
- Closings (rate)
- 0 (0%)
- Net store change
- ±0
⚠ Vertical line: the 2024 change of the city's spatial unit
Customers when and who (share of estimated sales)
Each split's share of estimated sales in 2025 Q1.
Detailed data every quarter, raw and derived
All quarters (20, from 2021 Q1)
| Quarter | Est. sales | YoY | Stores | YoY | Per store | YoY | Open | Close | Franchise | Vs a year earlier |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025Q4 | — | — | 3 | 0.0% | — | — | 0 | 0 | 33% | — |
| 2025Q3 | — | — | 3 | 0.0% | — | — | 0 | 0 | 33% | — |
| 2025Q2 | — | — | 3 | 0.0% | — | — | 0 | 0 | 33% | — |
| 2025Q1 | ₩5.2M | +72.1% | 3 | 0.0% | ₩1.7M | +72.1% | 0 | 0 | 33% | Sales↑ · Stores→ · Per store↑ |
| 2024Q4 | ₩995K | -67.4% | 3 | 0.0% | ₩332K | -67.4% | 0 | 0 | 33% | Sales↓ · Stores→ · Per store↓ |
| 2024Q3 | ₩1.6M | -19.1% | 3 | 0.0% | ₩526K | -19.1% | 0 | 0 | 33% | Sales↓ · Stores→ · Per store↓ |
| 2024Q2 | ₩1.8M | +6.2% | 3 | 0.0% | ₩613K | +6.2% | 0 | 0 | 33% | Sales↑ · Stores→ · Per store↑ |
| 2024Q1⚠ | ₩3M | -86.1% | 3 | 0.0% | ₩1M | -86.1% | 0 | 0 | 33% | Sales↓ · Stores→ · Per store↓ |
| 2023Q4 | ₩3.1M | -42.5% | 3 | 0.0% | ₩1M | -42.5% | 0 | 0 | 33% | Sales↓ · Stores→ · Per store↓ |
| 2023Q3 | ₩1.9M | -73.2% | 3 | 0.0% | ₩649K | -73.2% | 0 | 0 | 33% | Sales↓ · Stores→ · Per store↓ |
| 2023Q2 | ₩1.7M | -49.8% | 3 | 0.0% | ₩578K | -49.8% | 0 | 0 | 33% | Sales↓ · Stores→ · Per store↓ |
| 2023Q1 | ₩21.8M | +348.4% | 3 | +50.0% | ₩7.3M | +198.9% | 0 | 0 | 33% | Sales↑ · Stores↑ · Per store↑ |
| 2022Q4 | ₩5.3M | -49.5% | 3 | 0.0% | ₩1.8M | -49.5% | 0 | 0 | 33% | Sales↓ · Stores→ · Per store↓ |
| 2022Q3 | ₩7.3M | -66.1% | 3 | 0.0% | ₩2.4M | -66.1% | 0 | 0 | 33% | Sales↓ · Stores→ · Per store↓ |
| 2022Q2 | ₩3.4M | -49.8% | 3 | 0.0% | ₩1.1M | -49.8% | 1 | 0 | 33% | Sales↓ · Stores→ · Per store↓ |
| 2022Q1 | ₩4.9M | +548.5% | 2 | -33.3% | ₩2.4M | +872.7% | 0 | 1 | 50% | Sales↑ · Stores↓ · Per store↑ |
| 2021Q4 | ₩10.5M | — | 3 | — | ₩3.5M | — | 0 | 0 | 33% | — |
| 2021Q3 | ₩21.4M | — | 3 | — | ₩7.1M | — | 0 | 0 | 33% | — |
| 2021Q2 | ₩6.9M | — | 3 | — | ₩2.3M | — | 1 | 1 | 33% | — |
| 2021Q1 | ₩749K | — | 3 | — | ₩250K | — | 0 | 0 | 33% | — |
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.