Provincial Panel Dataset: Determinants of Poverty in Thailand, 2018-2021

This dataset contains a balanced provincial panel covering all 77 provinces of Thailand over the period 2018–2021 (308 province-year observations), compiled to examine the determinants of provincial poverty in Thailand. Variables include the provincial poverty rate, working-age and elderly population shares, the number of legally registered migrant workers, reported drug-related cases, crimes against life, body, and sexual integrity, the number of physicians, average O-NET Grade 6 test scores, and a border-province indicator. Data were compiled from official Thai government sources, including the Office of the National Economic and Social Development Council (NESDC), the Digital Government Development Agency's Thai People Map and Analytics Platform (TPMAP), the Department of Employment, the Royal Thai Police, the Office of the Narcotics Control Board, the National Institute of Educational Testing Service (NIETS), and the Department of Provincial Administration. All variables were individually cross-checked against original official source files, with corrections applied where discrepancies were identified; the border-province indicator, constructed from existing regional classifications, has not been independently verified. This dataset supports the empirical analysis reported in "Determinants of Provincial Poverty in Thailand: Evidence from Panel Data Analysis" (Pensupar, Pipoblabanan, & Mahathanaseth).本数据集为均衡省级面板数据，覆盖泰国全境77个省份，时间跨度为2018至2021年，共计308条省-年度观测样本，旨在探究泰国省级贫困的影响因素。所涵盖变量包括省级贫困率、劳动年龄人口与老年人口占比、合法登记外来务工人员数量、上报的涉毒案件数、侵犯生命权、身体权及性完整权的犯罪案件数、医师数量、六年级O-NET考试平均成绩，以及边境省份标识变量。数据源自泰国官方政府机构，包括泰国国家经济与社会发展委员会办公室（Office of the National Economic and Social Development Council, NESDC）、泰国数字政府发展局下属泰国民众地图与分析平台（Thai People Map and Analytics Platform, TPMAP）、泰国就业厅（Department of Employment）、泰国皇家警察（Royal Thai Police）、泰国禁毒委员会办公室（Office of the Narcotics Control Board）、泰国国家教育测试服务研究院（National Institute of Educational Testing Service, NIETS）以及泰国省级行政厅（Department of Provincial Administration）。所有变量均已与官方原始源文件逐一交叉核验，发现不一致之处均已完成修正；而基于现有区域分类构建的边境省份标识变量，尚未经过独立验证。本数据集可为"Determinants of Provincial Poverty in Thailand: Evidence from Panel Data Analysis"（Pensupar、Pipoblabanan与Mahathanaseth）一文的实证分析提供数据支撑。