South Korean cities with the most hospital beds
South Korean municipalities ranked by official hospital beds per 100,000 residents.
화순군, South Korea is first in the current published ranking at 6,940 beds per 100,000; compare its source date and geographic grain before using the result.
- Items compared
- 30
- Countries represented
- 1
- Last checked
- 2026-07-22
Source-backed answers
Compare each answer with its unit and checked date; the complete source ledger is below.
Showing all 30 rows
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| Original rank | City or place | Source and scope | ||
|---|---|---|---|---|
| 1 | 화순군, South Korea | 6,940 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 2 | 동구, South Korea | 5,880 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 3 | junggu, South Korea | 4,710 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 4 | seogu, South Korea | 4,710 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 5 | 김제시, South Korea | 4,010 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 6 | 창녕군, South Korea | 3,770 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 7 | 목포시, South Korea | 3,760 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 8 | 담양군, South Korea | 3,500 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 9 | 공주시, South Korea | 3,490 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 10 | namgu, South Korea | 3,460 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 11 | 사상구, South Korea | 3,410 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 12 | 안동시, South Korea | 3,380 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 13 | junggu, South Korea | 3,360 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 14 | donggu, South Korea | 3,350 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 15 | 보성군, South Korea | 3,280 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 16 | 나주시, South Korea | 3,240 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 17 | 청도군, South Korea | 2,980 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 18 | 남구, South Korea | 2,850 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 19 | 사천시, South Korea | 2,720 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 20 | seogu, South Korea | 2,710 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 21 | 보은군, South Korea | 2,650 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 22 | 종로구, South Korea | 2,570 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 23 | 북구, South Korea | 2,550 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 24 | 금정구, South Korea | 2,530 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 25 | 전주시, South Korea | 2,530 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 26 | 광산구, South Korea | 2,490 beds per 100,000 | 2026-07-22 | Source Scope: city · Period: 2024-12-31 |
| 27 | 사하구, South Korea | 2,490 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 28 | junggu, South Korea | 2,480 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 29 | 동래구, South Korea | 2,480 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
| 30 | 의성군, South Korea | 2,420 beds per 100,000 | 2026-07-21 | Source Scope: city · Period: 2024-12-31 |
What the numbers say
- 화순군, South Korea leads at 6,940 beds per 100,000.
- 의성군, South Korea sits at the other end with 2,420 beds per 100,000.
- The middle of this ranking is 3,280 beds per 100,000, across 30 places that publish the metric.
- The spread between first and last is 4,520 beds per 100,000.
What this measures
Every row is a published hospital beds per 100k observation measured in beds per 100,000, ranked highest first. The values were observed in 2024. A place appears only when it publishes this exact metric, so an absent place means missing data rather than a low value.
- Compare the displayed value, unit, source date and geographic grain together.
- A city label does not change a regional observation into a city measurement.
- Rows
- 30 places
- Geographic grain
- city
- Observation period
- 2024-12-31
- Last checked
- 2026-07-22
- With an official source link
- 30 of 30
Cite this page
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APA citation
ImmigrationDB. (2026, September 12). South Korean cities with the most hospital beds [ImmigrationDB compilation; snapshot approved-static-d7ed373c115d60d0; version approved-static-d7ed373c115d60d0]. ImmigrationDB. https://immigrationdb.com/reports/south-korea-most-hospital-beds/ Retrieved 2026-09-12. Compilation license: CC BY 4.0, https://creativecommons.org/licenses/by/4.0/BibTeX citation
@misc{immigrationdb_immigrationdb_south-korean-cities-with-the-most-hospital-beds_b9dfc51db505,
author = {ImmigrationDB},
title = {South Korean cities with the most hospital beds},
publisher = {ImmigrationDB},
year = {2026},
date = {2026-09-12},
version = {approved-static-d7ed373c115d60d0},
snapshot = {approved-static-d7ed373c115d60d0},
url = {https://immigrationdb.com/reports/south-korea-most-hospital-beds/},
note = {Retrieved 2026-09-12. ImmigrationDB compilation. Compilation license: CC BY 4.0, https://creativecommons.org/licenses/by/4.0/},
}Markdown citation
[South Korean cities with the most hospital beds](https://immigrationdb.com/reports/south-korea-most-hospital-beds/) — ImmigrationDB; ImmigrationDB; snapshot approved-static-d7ed373c115d60d0; version approved-static-d7ed373c115d60d0; retrieved 2026-09-12; built 2026-09-12.This citation identifies the ImmigrationDB compilation/page. Underlying source publishers and datasets retain their own terms; inspect the Sources section and cite those records separately. View the underlying source records.