A linked panel dataset of daily tourism arrivals, sectoral spending, local-unit consumption, and extreme-weather indicators for Jeju Island, South Korea (2019–2025)

This dataset integrates four thematically related but institutionally dispersed data sources for Jeju Island, South Korea, covering January 2019 to September 2025. The dataset was compiled to support a multiscalar analysis of how extreme weather affects tourism arrivals, sectoral spending composition, and local spatial consumption patterns.
File 1 - Daily tourism arrivals (2,465 observations): Daily visitor counts disaggregated by domestic and international visitors, compiled from the Jeju Tourism Association. Seven dates record zero arrivals corresponding to weather-induced complete gateway suspension.
File 2 - Sectoral tourism spending (486 sector-month observations): Monthly tourism spending across six sectors (retail, transport, food services, accommodation, arts/sports/leisure, and other services) sourced from the Korea Tourism Organization Datalab (datalab.visitkorea.or.kr), based on Shinhan Card transaction records.
File 3 - Local-unit tourism spending (43 administrative units x 81 months): Monthly tourism spending for 43 sub-municipal administrative units across Jeju-si and Seogwipo-si, sourced from the Jeju Tourism Organization data platform (data.ijto.or.kr). Subsequent platform restructuring has restricted equivalent access to this historical series.
File 4 - Extreme-weather indicators: Daily binary indicators and monthly event-day counts for three extreme-weather types (heatwave 33°C or above, heavy rain 80mm or above, strong wind 14m/s or above) from four Korea Meteorological Administration ASOS stations (Jeju 184, Gosan 185, Seongsan 188, Seogwipo 189).
The dataset spans a pre-pandemic baseline (2019), COVID-19 disruption period (2020-2022), and post-recovery extreme-weather intensification (2023-2025).