Unbuild That Wall!

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UNBUILD THAT WALL

A retrospective examination of the negative economic, quality-of-life and environmental impacts of Trump’s border wall for El Paso residents

INTRODUCTION

Promoted as a definitive solution to immigration, the U.S.–Mexico border wall became one of the most visible legacies of the Trump administration, with over 700 miles constructed nationwide. Yet in El Paso—a city long characterized by cross-border interdependence— the wall has produced complex social, economic, and environmental consequences that extend far beyond its physical footprint. This project uses a multi-scalar spatial analysis to examine how the border wall has reshaped urban form, ecological systems, and everyday quality of life in El Paso, revealing how federal border policy materializes in—and disrupts—the lived environment of a border city.

CONTEXT

LOCATION

GREEN SPACE + WATER POPULATION

QUALITY OF LIFE

CANCER PREVALENCE

ACCESS TO CARE

HEALTH MCDA PARKS + RECREATION DIABETES PREVALENCE

ECONOMICS ECOLOGY

POVERTY

POPULATION 2014 POPULATION 2024 LATINX POPULATION BIVARIATE

POVERTY

QUALITY OF LIFE MCDA FLOOD ZONES

El Paso’s position along the U.S.–Mexico border and the Rio Grande has historically defined it as a space of movement, exchange, and interdependence. As a key crossing corridor for migrants and goods, the city’s urban and social fabric has evolved in direct relationship to the border landscape. The decision by the Trump administration to expand the border wall beginning in 2017 marked a significant shift, recasting this shared corridor as a hardened boundary with lasting spatial and social implications.

Mexico
El Paso County

Texas

Border

wall

Sources: INEGI SCINCE (Mexico Data), US Census TIGERLine (US Data)

Rio Grande
Ciudad Juarez
El Paso

INHOSPITABLE LANDS

The physical landscape surrounding the border wall is characterized by arid, fragmented, and largely uninhabited terrain. As illustrated in the adjacent map, green space and surface water are notably scarce along the El Paso–Ciudad Juárez border corridor. While certain areas are classified as “green space” in spatial datasets, on-the-ground conditions reveal these spaces to be dry, vacant, and largely unusable. Together, these conditions produce a continuous buffer of inhospitable and, at times, unsafe urban space on both sides of the border wall.

Census tracts (US), AGEB (Mexico)

Open spaces

Rio Grande

US-MX Border wall

Sources: INEGI SCINCE (Mexico Data), US Census TIGERLine (US Data), El Paso Open Data

Ciudad Juarez
El Paso

Inhabitants per sq mile

0-1,000

1,000-2,000

2,000-3,000

3,000-5,000

5,000-10,000

10,000-20,000

20,000-30,000

30,000-50,000

US-MX Border wall

Sources: INEGI SCINCE (Mexico Data), US Census TIGERLine (US Data), El Paso Open Data

Ciudad Juarez
El Paso

Bordering cities often reveal some of the most pronounced urban inequities, particularly within Global North–Global South contexts, where national boundaries sharply differentiate political power, economic opportunity, and policy regimes despite close geographic proximity. It is a recurring global phenomenon that cities situated directly adjacent to one another can exhibit dramatically divergent urban conditions, even as they remain functionally intertwined. Population density patterns, such as those illustrated in the adjacent map, offer one visible expression of this disparity; however, density alone is not the root cause. Rather, the border itself operates as a powerful structural mechanism that mediates access to capital, infrastructure investment, environmental regulation, and social services. Differences in national policy frameworks—ranging from labor protections and wage standards to environmental enforcement and public spending—produce uneven urban outcomes that become spatially legible at the border. In many cases, the prosperity and relative stability of the wealthier city are sustained, at least in part, through its proximity to a neighboring city where labor, services, and land are significantly cheaper. This asymmetrical relationship enables the extraction of economic value across the border while limiting reciprocal investment, reinforcing cycles of dependency and uneven development. As a result, one city often absorbs environmental burdens, infrastructural neglect, or overcrowding, while the other benefits from economic flexibility and consumption without fully accounting for the externalized costs. These dynamics complicate simplistic narratives of border cities as isolated or oppositional entities; instead, they function as interconnected urban systems shaped by deeply unequal political and economic conditions. Understanding these inequities is essential for evaluating how border policies, including physical infrastructure such as walls, do not merely divide space but actively reproduce and intensify existing disparities in urban form, quality of life, and long-term resilience.

Census tracts (US), AGEB (Mexico)

Primary roads

US-MX Border wall

Sources: INEGI SCINCE (Mexico Data), US Census TIGERLine (US Data), El Paso Open Data

Ciudad Juarez
El Paso

TWO CITIES: ONE NETWORK

Despite their markedly different urban morphologies, Ciudad Juárez and El Paso function as a deeply interconnected binational system. Daily flows of commuters, commerce, and services routinely cross the border, binding the two cities into a shared economic and social network that operates across national boundaries.

CURRENT LAND USE

Inhabitants per sq mile

rural/agricultural

commercial

mixed use

industrial

public/civic

residential

open space

special

US-MX Border wall

Sources: INEGI SCINCE (Mexico Data), US Census TIGERLine (US Data), El Paso Open Data

El Paso

Future Land Uses

rural/natural

Industrial/mixed

military reserves

downtown

independent city

post-war

suburban/walkable

traditional neighborhood

urban expansion

US-MX Border wall

FUTURE LAND USE

El Paso

The vast majority of areas with the highest poverty and Hispanic population percentages lie within the first five-mile buffer from the border wall, with concentrations decreasing as distance increases. This pattern reflects the concentration of historically marginalized, working-class Hispanic communities near the border, shaped by decades of uneven investment and borderrelated land use. As distance from the wall increases, these concentrations diminish

Percentage of the population living in poverty

Percentage of the population who is Latinx

Border wall
5 mi from the 10 mi from 15 mi
Ciudad Juarez, Mexico

the border from the border from the border

Sources: INEGI SCINCE (Mexico Data), US Census TIGERLine (US Data), El Paso Open Data

El Paso County

HEALTH

Health score

lowest commercial mixed use industrial public/civic residential highest

US-MX Border wall

Diabetes prevalence

Cancer prevalence

Lack of access to care

Sources: INEGI SCINCE (Mexico Data), US Census TIGERLine (US Data), PLACES Data (CDC)

QUALITY OF LIFE

Parks

and recreative spaces

Health score

Poverty prevalence

QUALITY OF LIFE

HISPANIC POPULATION GROWTH

Percentage of Hispanic Population

20-60%

60-70%

70-90%

>90%

US-MX Border wall

From 2014 to 2024, hispanic population growth patterns indicate movement toward—rather than away from—the U.S.–Mexico border, with previously underdeveloped areas filling in and development progressively extending toward central El Paso following the wall’s construction.

Source: ACS Census, El Paso

ECONOMY

Percentage of commuters travelling by car

Areas nearer to the border exhibit greater reliance on automobile commuting and longer commute durations, pointing to intensified mobility demands that may reflect increased levels of formal, cross-border movement rather than reduced interaction.

Percentage of commuters travelling 60 min+

Percentage of young people educated below HS level

A significant decrease in educational attainment among young residents emerges as one of the most notable findings. In combination with employment patterns, this shift points toward the expansion of a younger labor force characterized by lower levels of educational completion, raising concerns about long-term economic mobility and workforce stability.

Percentage of people in poverty

3-15%

15-25%

25-35%

35-50%

50-68%

Rather than declining overall, poverty appears to be dispersing outward into more peripheral areas of the border region, indicating a spatial redistribution rather than a reduction in economic hardship.

Percentage of people employed

6-15% 31-41%

15-30% 42-51%

30-45% 52-60%

45-60% 61-75%

60-75% 76-80%

Percentage of households using SNAP

0-10%

11-20%

21-30%

31-40%

41-68%

ENVIRONMENT

Inhabitants per sq mile

open water sedge perennial ice lichens developed open moss developed low pasture/hay developed med cultivated crop developed high woody wetlands evergreen barren land emergent wetlands

mixed forest shrub deciduous dwarf scrub grassland

US-MX Border wall

Sources: INEGI SCINCE (Mexico Data), US Census TIGERLine (US Data), El Paso Open Data

At a regional scale the landscape appears consistent, yet finer-grained analysis shows pronounced reductions in vegetation coverage adjacent to the border wall, with shrub species most heavily affected.

Source: ACS Census, El Paso Open Data, Annual

CONCLUSION

Collectively, the findings demonstrate that the border wall has failed to achieve many of the current administration’s stated objectives and instead has produced unintended economic, social, and environmental consequences in El Paso. Economically, proximity to the wall is associated with increased commuting burdens and continued reliance on cross-border mobility rather than reduced interaction. In terms of quality of life, socioeconomic vulnerability remains concentrated near the border and is spreading outward, reinforcing patterns of inequality rather than alleviating them. Environmentally, the wall has contributed to visible landscape degradation, including significant losses in vegetation and ecological continuity along the Rio Grande corridor. Together, these outcomes challenge the assumption that large-scale border infrastructure inherently produces security or prosperity. They underscore the necessity of evaluating public policies not by their symbolic execution, but by their measurable impacts on lived conditions, environmental health, and longterm urban resilience.

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