Jeollanam-do (South Korea)
Province
The population development of Jeollanam-do.
| Name | Native | Status | Population Census 2005-11-01 | Population Census 2010-11-01 | Population Census 2015-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|---|---|
| Jeollanam-do [South Jeolla] | 전라남도 | Province | 1,819,819 | 1,741,499 | 1,799,044 | 1,788,807 | → |
| Daehan Minguk [South Korea] | 대한민국 | Republic | 47,278,951 | 48,580,293 | 51,069,375 | 51,829,136 |
Contents: Urban Areas and Towns
The population development of the urban areas and towns in Jeollanam-do.
icon links to further information about a selected place including its population structure (gender, age groups, age distribution, citizenship).| Name | Native | Status | Province | Population Census 2005-11-01 | Population Census 2010-11-01 | Population Census 2015-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|---|---|---|
| Aphae | 압해읍 | Town | Jeollanam-do | 6,723 | 4,732 | 5,392 | 5,677 | → |
| Baeksu | 백수읍 | Town | Jeollanam-do | 5,953 | 4,338 | 4,610 | 4,239 | → |
| Beolgyo | 벌교읍 | Town | Jeollanam-do | 14,092 | 12,008 | 12,538 | 11,351 | → |
| Boseong | 보성읍 | Town | Jeollanam-do | 9,514 | 8,889 | 8,767 | 8,651 | → |
| Daedeok | 대덕읍 | Town | Jeollanam-do | 3,899 | 3,499 | 3,589 | 3,133 | → |
| Damyang | 담양읍 | Town | Jeollanam-do | 12,778 | 12,560 | 13,621 | 13,807 | → |
| Dolsan | 돌산읍 | Town | Jeollanam-do | 12,877 | 12,328 | 13,466 | 13,440 | → |
| Doyang | 도양읍 | Town | Jeollanam-do | 11,705 | 10,316 | 10,356 | 10,127 | → |
| Gangjin | 강진읍 | Town | Jeollanam-do | 13,755 | 13,217 | 13,718 | 13,197 | → |
| Geumil | 금일읍 | Town | Jeollanam-do | 3,832 | 3,419 | 3,589 | 3,596 | → |
| Goheung | 고흥읍 | Town | Jeollanam-do | 12,384 | 11,174 | 11,548 | 12,043 | → |
| Gokseong | 곡성읍 | Town | Jeollanam-do | 7,638 | 7,231 | 7,743 | 7,647 | → |
| Gurye | 구례읍 | Town | Jeollanam-do | 10,805 | 9,655 | 10,769 | 10,386 | → |
| Gwangyang | 광양읍 | Town | Jeollanam-do | 43,826 | 40,778 | 46,645 | 46,797 | → |
| Gwangyang | 광양 | Urban Area | Jeollanam-do | 73,685 | 81,854 | 82,587 | 82,810 | → |
| Gwansan | 관산읍 | Town | Jeollanam-do | 6,079 | 5,251 | 5,074 | 4,588 | → |
| Haenam | 해남읍 | Town | Jeollanam-do | 24,739 | 22,285 | 23,321 | 23,617 | → |
| Hampyeong | 함평읍 | Town | Jeollanam-do | 9,017 | 7,719 | 8,157 | 7,920 | → |
| Hongnong | 홍농읍 | Town | Jeollanam-do | 8,666 | 6,244 | 6,710 | 6,339 | → |
| Hwasun | 화순읍 | Town | Jeollanam-do | 42,759 | 39,868 | 38,360 | 38,040 | → |
| Illo | 일로읍 | Town | Jeollanam-do | 7,744 | 6,593 | 6,471 | 10,962 | → |
| Jangheung | 장흥읍 | Town | Jeollanam-do | 14,816 | 13,320 | 14,212 | 14,696 | → |
| Jangseong | 장성읍 | Town | Jeollanam-do | 11,856 | 11,662 | 12,676 | 12,829 | → |
| Jido | 지도읍 | Town | Jeollanam-do | 3,923 | 4,207 | 4,215 | 4,081 | → |
| Jindo | 진도읍 | Town | Jeollanam-do | 10,094 | 9,078 | 9,428 | 9,944 | → |
| Mokpo | 목포 | Urban Area | Jeollanam-do | 244,888 | 249,960 | 239,524 | 224,509 | → |
| Muan | 무안읍 | Town | Jeollanam-do | 11,315 | 10,504 | 12,049 | 11,608 | → |
| Naju | 나주 | Urban Area | Jeollanam-do | 36,569 | 35,969 | 47,264 | 67,088 | → |
| Nampyeong | 남평읍 | Town | Jeollanam-do | 8,602 | 7,186 | 7,559 | 11,934 | → |
| Nohwa | 노화읍 | Town | Jeollanam-do | 5,568 | 5,058 | 5,270 | 5,210 | → |
| Samho | 삼호읍 | Town | Jeollanam-do | 21,126 | 25,501 | 28,653 | 26,980 | → |
| Samhyang | 삼향읍 | Town | Jeollanam-do | 6,394 | 24,707 | 35,081 | 37,825 | → |
| Seungju | 승주읍 | Town | Jeollanam-do | 3,163 | 2,597 | 2,636 | 2,445 | → |
| Suncheon | 순천 | Urban Area | Jeollanam-do | 199,711 | 199,956 | 187,718 | 185,128 | → |
| Wando | 완도읍 | Town | Jeollanam-do | 18,029 | 16,883 | 17,252 | 17,363 | → |
| Yeongam | 영암읍 | Town | Jeollanam-do | 10,244 | 8,377 | 8,218 | 7,770 | → |
| Yeonggwang | 영광읍 | Town | Jeollanam-do | 21,870 | 19,827 | 20,960 | 21,522 | → |
| Yeosu | 여수 | Urban Area | Jeollanam-do | 236,742 | 233,383 | 224,622 | 220,424 | → |
Source: National Statistical Office of the Republic of Korea (web).
Explanation: Since 2015, a register-based census is performed. Nevertheless, the results are not consistent with the population figures from the resident registration that are higher by about 3.5% on average. Area figures are derived from geospatial data.