Politare

Population during each mayor's tenure

6 mayors, ranked by how population changed from their first day in office, next to the province over the same months. Politare shows what happened during a tenure; it does not claim the office-holder caused it.

Sort by
Tenures
Period
Order
#MayorCityIn officeTotalvs provincePer yearChart
1DPK Lee ChunheeSejong 1 Jul 2014 – 1 Jul 2022 from 2014+187% 2014 → 2022+187.0 pts province +0.2%+14.1%/yr
2UNDP Choi Ki-sunIncheon 1 Jul 1995 – 1 Jul 2002 from 1995+10.2% 1995 → 2002+4.5 pts province +5.7%+1.4%/yr
3LKP Ahn Sang-sooIncheon 1 Jul 2002 – 1 Jul 2010 from 2002+5.9% 2002 → 2010+1.9 pts province +4.0%+0.7%/yr
4DPK Song Young-gilIncheon 1 Jul 2010 – 1 Jul 2014 from 2010+5.1% 2010 → 2014+1.5 pts province +3.6%+1.3%/yr
5N Choi Min-hoSejong 1 Jul 2022 – now from 2022+4.5% 2022 → 2025+5.0 pts province −0.4%+1.5%/yr
6LKP Paul YooIncheon 1 Jul 2022 – now from 2022+2.8% 2022 → 2025+3.2 pts province −0.4%+0.9%/yr
7LKP Paul YooIncheon 1 Jul 2014 – 1 Jul 2018 from 2014+2.6% 2014 → 2018+1.6 pts province +1.0%+0.6%/yr
8N Moon HeapDaegu 1 Jul 1995 – 1 Jul 2002 from 1995+2.2% 1995 → 2002−3.4 pts province +5.7%+0.3%/yr
9DPK Park Nam-choonIncheon 1 Jul 2018 – 1 Jul 2022 from 2018+1.3% 2018 → 2022+2.1 pts province −0.7%+0.3%/yr
10PPP Oh Se-hoonSeoul 1 Jul 2006 – 27 Oct 2011 from 2006+0.1% 2006 → 2011−4.6 pts province +4.7%0.0%/yr

Showing 10 of 21 tenures.

Sorted by total, highest first. Every row is indexed to the last count complete before the first day in office ("from" marks a start that had to move because that count had no data, or because the period cut it); the province is measured over the same months. Levels are per cent changes, rates are differences in %; "per year" compounds levels and divides rates. Tenures with under 12 months, or under three observations, are left out. thousands, resident population · Statistics Korea resident population via the OECD regional database (TL3), calendar years dated at mid-year · metropolitan city data · as of Jul 2025.

Sources: OECD (quarterly national accounts, infra-annual labour statistics, consumer prices, analytical house prices, regional database), Statistics Korea (SGIS boundaries), Wikidata, Wikimedia Commons. Every chart is indexed to the office-holder's first day. Correlation is not credit. CreditsPrivacy