印度投票站和村庄的选举数据:全国大选2009-2019年
Francesca R Jensenius1, Pradeep Chhibber2, Sanjeer Alam3
1Department of Political Science, University of Oslo, Oslo, Norway.
Scientific data
|July 2, 2025
概括
这项研究创建了2009年,2014年和2019年的印度大选结果在投票站层面的新数据集. 这使得印度广大选区的当地投票模式能够得到详细的分析.
科学领域:
- 政治科学 政治科学是指政治学.
- 数据科学数据科学数据科学
- 印度政治 印度政治
背景情况:
- 印度大选是世界上规模最大的,拥有庞大的议会选区.
- 在选区内以颗粒级别分析数据对于理解政治动态至关重要.
- 投票站是选举结果正式公布的最小行政单位.
研究的目的:
- 构建2009年,2014年和2019年印度大选的投票站级别选举回报的全面数据集.
- 通过将选举数据与稳定的人口普查单位联系起来,实现选区内部分析.
- 为了促进随着时间的推移对地方一级投票模式的研究.
主要方法:
- 收集,清理和标准化了来自2009年和2014年11个州约50万个投票站的选举回报数据,以及2019年来自一个州的162,000个投票站的选举回报数据.
- 开发了一种使用人口普查指标的手动链接方法,以将时间变化的投票站标识符连接到稳定的人口普查单位 (村庄和城镇).
- 在投票站和相应的人口普查单位之间实现了95%的连接率,确保了高数据可靠性.
主要成果:
- 创建了一个独特的数据集,将印度投票站级别的选举回报与人口普查数据相结合.
- 连接方法成功地将选举数据与稳定的地理单位整合在一起,从而允许进行时间分析.
- 该数据集涵盖了大量的投票站,为微观政治研究提供了坚实的基础.
结论:
- 开发的数据集显著提高了对印度选举行为的详细,地方层面分析的能力.
- 手动链接方法在克服改变投票站边界所带来的挑战方面被证明是有效的.
- 这种资源对于研究印度各个选区的政治趋势和投票模式的研究人员来说是无价的.
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