Politare

Regional GDP per person during each mayor's tenure

6 mayors, ranked by how regional GDP per person 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.

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Tenures
Period
Order
#MayorCityIn officeTotalvs provincePer yearChart
1DPK Park Won-soonSeoul 27 Oct 2011 – 9 Jul 2020 +33.7% 2011 → 2020+10.7 pts province +23.0%+3.3%/yr
2LKP Kwon Young-jinDaegu 1 Jul 2014 – 1 Jul 2022 from 2014+31.1% 2014 → 2022+7.6 pts province +23.5%+3.4%/yr
3LKP Ahn Sang-sooIncheon 1 Jul 2002 – 1 Jul 2010 from 2002+28.2% 2002 → 2010−6.5 pts province +34.7%+3.2%/yr
4N Moon HeapDaegu 1 Jul 1995 – 1 Jul 2002 from 1995+25.3% 1995 → 2002−15.4 pts province +40.7%+3.3%/yr
5N Kim Bum-ilDaegu 1 Jul 2006 – 1 Jul 2014 from 2006+23.6% 2006 → 2014−1.6 pts province +25.1%+2.7%/yr
6UNDP Choi Ki-sunIncheon 1 Jul 1995 – 1 Jul 2002 from 1995+23.1% 1995 → 2002−17.6 pts province +40.7%+3.0%/yr
7N Cho Hae-nyungDaegu 1 Jul 2002 – 1 Jul 2006 from 2002+17.6% 2002 → 2006+0.3 pts province +17.3%+4.1%/yr
8PPP Oh Se-hoonSeoul 1 Jul 2006 – 27 Oct 2011 from 2006+16.8% 2006 → 2011+0.7 pts province +16.2%+3.2%/yr
9DPK Yoon Jang-hyunGwangju 1 Jul 2014 – 30 Jun 2018 from 2014+16.4% 2014 → 2017+7.5 pts province +8.9%+5.2%/yr
10N Park Heong-joonBusan 8 Apr 2021 – now +14.8% 2020 → 2024+2.2 pts province +12.6%+3.5%/yr

Showing 10 of 17 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. ₩ million per person, constant prices · Statistics Korea gross regional domestic product per person via the OECD regional database (TL3), constant prices, calendar years dated at mid-year; a region that people commute into reads high · 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