Noah Dasanaike
noahdasanaike.bsky.social
Noah Dasanaike
@noahdasanaike.bsky.social
Harvard Government PhD candidate, interested in structural origins of political outcomes.
SAGE also enables analyses of previously more democratic elections in several current autocracies. Take, for instance, the 2013 Venezuelan presidential elections, mapped below at the polling station level.
February 14, 2025 at 6:08 PM
Reposted by Noah Dasanaike
To receive notification of when SAGE is released alongside the corresponding paper, fill out this form (just email and affiliation): shorturl.at/6JbKv. The full working paper can be found here: www.dropbox.com/scl/fi/f5ol5...
Release Notification: Small-Area Global Elections (SAGE) archive
Sign up to receive email notification of when SAGE is released alongside the corresponding paper, Why Urban-Rural Political Cleavages Do Not Generalize (working paper found here, with country-by-count...
shorturl.at
February 14, 2025 at 3:15 PM
To receive notification of when SAGE is released alongside the corresponding paper, fill out this form (just email and affiliation): shorturl.at/6JbKv. The full working paper can be found here: www.dropbox.com/scl/fi/f5ol5...
Release Notification: Small-Area Global Elections (SAGE) archive
Sign up to receive email notification of when SAGE is released alongside the corresponding paper, Why Urban-Rural Political Cleavages Do Not Generalize (working paper found here, with country-by-count...
shorturl.at
February 14, 2025 at 3:15 PM

I propose several possible mechanisms whereby conditions of discordant composition may or may not arise, and in turn urban-rural polarization: economic structure, sociocultural organization, institutional legacies, and the nature of modernization. (7/8)
February 14, 2025 at 3:15 PM
To partially explain these findings, I introduce a theory of “discordant composition”: urban–rural cleavages arise when politically salient traits cluster geographically, letting parties tailor local appeals. Without such clustering, the divide is muted. (6/8)
February 14, 2025 at 3:14 PM
The results reveal considerable cross-national variation. In many countries, urban–rural differences are weak or even ideologically reversed (rural–left, urban–right), and their strength isn’t solely explained by economic development or industrial activity. (5/8)
February 14, 2025 at 3:14 PM
I merge these 10 billion votes with 2.3 billion building footprints to measure urbanicity via nearest-neighbor distances, an approach that better captures how people perceive urban and rural areas. I validate this against population density using an original survey. (4/8)
February 14, 2025 at 3:14 PM
Election returns were collected and compiled over the course of 3 years. One example: geocoded election returns for nearly 1 million polling stations in the 2019 Indian general election, where I also matched thousands of OCR’d candidates by hand to their respective parties. (3/8)
February 14, 2025 at 3:14 PM
In this dataset, which I term the Small-Area Global Elections archive (SAGE), I provide standardized returns matched with artificial or actual spatial boundaries in every democracy and the previous democratic elections of several current autocracies. (2/8)
February 14, 2025 at 3:14 PM