Social Statistics Commons^™

Uni·Cen Documentation Report 4: Early Postwar Census Tract Digitization Project, Zack Taylor, Christopher Macdonald Hewitt

UNI-CEN documentation

The Unified Infrastructure for Canadian Census Research, or UNI·CEN, is a comprehensive database of historical and contemporary Canadian aggregate Census data, digital boundary files, and ancillary material, all provided in modern data formats. The goal of the project is to liberate Canadian Census data so that it can be easily used by academic researchers, students, and the public.

The documentation describes the processes used to digitize the 1951, 1956, 1961, and 1966 Census Tract boundaries and associated datasets.

For more information, visit: https://observatory.uwo.ca/unicen/

To access the data, visit: https://borealisdata.ca/dataverse/unicen

Uni·Cen Documentation Report 3: Digital Boundary Files, Zack Taylor, Christopher Macdonald Hewitt

UNI-CEN documentation

The Unified Infrastructure for Canadian Census Research, or UNI·CEN, is a comprehensive database of historical and contemporary Canadian aggregate Census data, digital boundary files, and ancillary material, all provided in modern data formats. The goal of the project is to liberate Canadian Census data so that it can be easily used by academic researchers, students, and the public.

The UNI·CEN Digital Boundary Files series contains versions of all publicly available digital boundary files with shorelines harmonized, at five levels of Census geography.

For more information, visit: https://observatory.uwo.ca/unicen/

To access the data, visit: https://borealisdata.ca/dataverse/unicen

The Eviction Landscape In South Carolina, Ethan Magnuson

Senior Theses

The purpose of this thesis is to describe and analyze the South Carolinian eviction crisis from the perspective of radical geography. South Carolina was chosen for the severity of its crisis and the lack of research at a sub-state level. Court records of eviction filings from 2019 were geocoded and tested for spatial clustering, which was clearly visible. Plaintiff names were used to identify the most frequent filers and distinguish landlords by type. At the census tract level, eviction filing counts were compared with neighborhood characteristics using negative binomial regression, and most were found to be significant in South Carolina. …