five

Microscale Canadian Federal electoral results: 2000-2021

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://doi.org/10.7910/DVN/Q1RDXC
下载链接
链接失效反馈
官方服务:
资源简介:
This is an original dataset of micro-scale election returns for Canadian Federal elections from 2000 to 2021 compiled by Benjamin Forest and Chris Yurris at McGill University. Elections Canada provides detailed election returns but tabulates different types of votes at three different scales. Most votes cast in person on the day of the election are assigned to a specific, geographically defined polling division. Votes cast in advance of the election are assigned to larger geographic units, Advanced Polling Areas, and votes cast in other ways are assigned only to constituencies (ridings) as a whole. We address this issue by assigning advanced and special votes to polling divisions using the spatial pattern of same-day votes. The resulting data has all votes allocated to the micro-scale of the precinct (polling division). The large number polling divisions in Canada (over 50,000 per election) permit analyses from the micro-scale of the precinct (typically 300-500 electors) to the level of constituencies (often more than 100,000 electors). Please contact Benjamin Forest (benjamin.forest@mcgill.ca) for documentation and codebook
创建时间:
2025-12-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作