Jason Jurjevich
Jason Jurjevich

Spatial Implications of Demographic Change

 
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Jason Jurjevich, PhD

Assistant Professor

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

 

A broadly trained human geographer, my research interests focus on the socio-spatial implications of demographic change, with a particular emphasis on mobility and migration. 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 1931-1950 using interactive web-based mapping.

 

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Articles, Book Chapters, and Reports

Annals of the American Association of Geographers

2024. The Ground Rent Machine: The Story of Race, Housing Inequality, and Dispossession in Baltimore, Maryland.

 
 

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.

 

PNAS: Proceedings of the National Academy oF Sciences of the United states of America

2020. Geographies of Insecure Water Access and the Housing-Water Nexus in US Cities

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.

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.

 

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.

 

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? 

 

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.

 

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.

More than 55,000 homes in Baltimore – roughly 1 in 3 residential plots – contain ground rent, a legacy of British colonialism. Ground rent recasts the homeowner as a tenant that must pay rent to the ground leaseholder who owns the land. In this research, we illustrate the uneven and racialized geography of ground rent in Baltimore, and explain how it shapes the geography of segregation and housing inequality.

 

Many, possibly most of us, have never needed to consider this. We take for granted the clean water that flows from our taps and fills our showers, baths, and toilets. In 2017, nearly 460,000 US households – some 1.1 million people, enough to fill a large city – lacked piped running water in their homes. We call this state ‘plumbing poverty.’

 

From 2013 to 2017, an estimated 1,121,100 people (±25,500) in the United States had insecure water access, with nearly one-half (47%) located in the 50 largest metropolitan areas. We argue that insecure domestic water access in the United States should be understood as a housing issue that reflects structural inequalities of race and class, particularly in cities with widening wealth gaps.




 


As low‐carbon lifestyles become increasingly desirable, more middle‐ and upper‐income urban residents are choosing to live near public transit, on bike‐ and pedestrian‐friendly streets, and in higher‐density mixed‐use areas.






 

The ACS is a crucial source of socio­demographic data for planners. Since ACS data are estimates rather than actual counts, they contain a degree of statistical uncertainty—referred to as margin of error (MOE)—that planners must navigate when using these data.

We argue that the planning academy should change its cur- riculum requirements and that the profession should improve professional development training to ensure planners understand data uncertainty and convey it to users.







 

Beginning with 2020 Census data products, the USCB is implementing differential privacy to protect respondent confidentiality. In most simple terms, differential privacy distorts the data by injecting “noise” into publicly available data, making it more difficult to identify individuals. Differential privacy attempts to strike a balance between privacy and accuracy.

 
 



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.







 

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