Jason Jurjevich
 

>Data For Good<

Harness the power of geographic data to:
  • Illuminate the lived experiences of individuals and communities
  • Expose social and economic inequality
  • Support the development of equitable, sustainable, and resilient cities

 
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Jason Jurjevich, PhD

School of Geography, Development & Environment

 
 

Present

University of Arizona

 

2010

Ph.D. in Geography, University of Arizona

 

2005

MA in Geography, University of North Carolina at Charlotte

 

As a broadly trained human geographer, I use critical quantitative methods to expose social and economic inequality in cities. I have a particular interest in the census, migration, and housing, with recent work examining housing injustice in Baltimore and Tucson.  Currently, I am an Assistant Professor in the School of Geography, Development & Environment at the University of Arizona.

Since 2010, my work has been cited in numerous media outlets, including National Public Radio (NPR), Univision, CityLab, Governing Magazine, New York Times Magazine, Atlantic Cities, and The Chronicle of Higher Education. 

In 2018, I launched Census 20/20, a nationwide-focused project to foster community preparedness and inspire individual action to support a fair and accurate census in 2020. 

In September 2022, I launched my most recent project, Mapping Racist Covenants. This project highlights the breadth of racist covenants, conditions, and restrictions (CCRs) across neighborhoods and subdivisions in Tucson between 1912 -1968 using interactive web-based mapping.

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Articles, Book Chapters, and Reports

 
 

Research Article

March 2025

Jason R. Jurjevich, Katie Meehan, Nicholas M.J.W. Chun, and Greg Schrock. “Advancing Methods for Comparative Urban Research: A City-Centric Protocol and Longitudinal Dataset for US Metropolitan Statistical Areas.”
PLOS One.
DOI: 10.1371/journal.pone.0316750

 

Research article

December 2024

Katie Meehan, Jason R. Jurjevich, Lucy Everitt, Nicholas M.J.W. Chun, and Justin Sherrill. “Water Access Worsens for Low-Income Households of Color in Elite US Metros.” Nature Cities. DOI: 10.1038/s44284-024-00180-z

 

Research article

June 2024

Jason R. Jurjevich and Dillon Mahmoudi. “The Ground Rent Machine: The Story of Race, Housing Inequality, and Dispossession in Baltimore, Maryland.” Annals of the American Association of Geographers.
DOI: 10.1080/24694452.2024.2353172

 

Overview

Our research documents emerging trends and persistent gaps in urban water access over the past 20 years, before and after the Great Recession of 2008. Focusing on 15 major metropolitan areas and drawing on analysis of nearly two decades (2000-2017) of Census data, we identify racialized disparities in household water access, compare trends between cities and over time, and point to worsening conditions for urban dwellers, especially renters.

Comprehensive report

September 2021

Katie Meehan, Jason R. Jurjevich, Alison Griswold, Nicholas M.J.W. Chun, and Justin Sherrill. “Plumbing Poverty in US Cities: A Report on Gaps and Trends in Household Water Access, 2000 to 2017.” DOI: 10.18742/pub01-601

 

Overview

In this study, we explain the drivers of infrastructural inequality in the 50 largest metropolitan areas. Our analysis reveals spatial and sociodemographic patterns of racialized, class-based, and housing disparities that characterize plumbing poverty.

Research Article

November 2020

Katie Meehan, Jason R. Jurjevich, Nicholas M.J.W. Chun, and Justin Sherrill. “Geographies of Insecure Water Access and the Housing-Water Nexus in US CIties.” DOI: 10.1073/pnas.2007361117

 

Overview

In this article we explore the understudied socio‐environmental contradiction where the actual environmental outcomes of neighborhood transformation may not be what we expect.

Research Article

March 2019

Jennifer L. Rice, Daniel Aldana Cohen, Joshua Long, and Jason R. Jurjevich. “Contradictions of the Climate-Friendly City: New Perspectives on Eco-Gentrification and Housing Justice.” IJURR: International Journal of Urban and Regional Research. DOI: 10.1111/1468-2427.12740

 


Overview

Many planners do not understand the statistical uncertainty in ACS data, find it difficult to communicate statistical uncertainty to stakeholders, and avoid reporting MOEs altogether. These practices may conflict with planners’ ethical obligations under the AICP Code of Ethics to disclose information in a clear and direct way.

Research Article

April 2018

Jason R. Jurjevich, Amy L. Griffin, Seth E. Spielman, David C. Folch, Meg Merrick, and Nicholas N. Nagle. “Navigating Statistical Uncertainty: How Urban and Regional Planners Understand and Work with American Community Survey (ACS) Data.” Journal of the American Planning Association. DOI: 10.1080/01944363.2018.1440182

*Selected by JAPA editors as a finalist for 2018 Paper of the Year.

 

Overview

Certain populations require more data distortion to guarantee the same level of privacy compared to larger populations. Given this situation, we explore two questions in this study: 1) how reliable are differentially-private data for Arizonans of color?  2) to what extent does differential privacy introduce unequal data distortion among Arizonans of color at sub-county geographies? 

Arizona is traditionally a state with a high Hard-to-Count (HTC) population. In Census 2010, only 77.6% of Arizona households mailed back their census form, ranking Arizona’s census participation 38th across the 50 states and Washington, DC.

 

Overview

Using past census household non-response rates as a proxy for the HTC population, this report provides detailed range projections of Arizona’s Census 2020 HTC population, by county, under three scenarios.

We found that funding for Census 2020 in Oregon could require raising at least $7 to $8.4 million.

 

Overview

State and local governments, as well as philanthropic organizations, share a responsibility to secure funding that supports efforts that will fairly and accurately count all Oregonians, including individuals in hard-to-count (HTC) communities.