DSCI 549 — SPRING 2024

USDA Food Access Research Atlas

Analyzing food desert conditions in San Diego's North County (Carlsbad area) by comparing USDA census tract data from 2015 and 2019 — tracking shifts in poverty, demographics, and SNAP benefits for vulnerable populations.

Contents

  1. Project Overview
  2. Food Access Atlas Maps
  3. Data & Methodology
  4. Trends: 2015 vs. 2019
  5. Demographic Shifts
  6. Key Findings

Project Overview

The USDA Food Access Research Atlas identifies census tracts where residents have limited access to affordable and nutritious food — commonly called "food deserts." This project focuses on census tracts adjacent to Carlsbad, California (San Diego North County) that are flagged as both Low Income (LI) and Low Access (LA) at 1 and 20 miles.

By comparing data from 2015 and 2019, the analysis tracks how food access conditions, poverty, demographics, and government assistance changed over a four-year period in this rapidly growing region.

72,864 Total U.S. Census Tracts
10 Tracts Analyzed
147 Features Per Tract
2 Years Compared

What Makes a Food Desert?

The USDA defines a food desert as a census tract that is both:

Food Access Atlas Maps

The USDA's interactive GIS atlas was used to identify the specific census tracts flagged as Low Income and Low Access in the Carlsbad, CA area for both study years.

2015 — Carlsbad Adjacent Tracts

Tracts: 06073019207, 06073020105, 06073019602, 06073020106, 06073020307

2015 USDA Food Access Atlas map of Carlsbad adjacent tracts
Source: Economic Research Service, U.S. Department of Agriculture

2019 — Carlsbad Adjacent Tracts

Tracts: 06073018603, 06073019207, 06073018610, 06073018609, 06073020021

2019 USDA Food Access Atlas map of Carlsbad adjacent tracts
Source: Economic Research Service, U.S. Department of Agriculture

Note that while one tract (06073019207) persisted across both years, the specific tracts flagged shifted between 2015 and 2019 — indicating that food access conditions are dynamic and change with development and demographic shifts.

Data & Methodology

1

GIS Identification

Use USDA Atlas to find LI+LA tracts near Carlsbad for 2015 and 2019

2

Data Extraction

Filter 72,864-row national datasets to matching census tract IDs

3

Aggregation

Sum tract-level data into annual totals; average poverty rate and income

4

Comparison

Calculate deltas and percentage changes between 2015 and 2019

Data Source

The Food Access Research Atlas is published by the Economic Research Service (ERS) of the U.S. Department of Agriculture. Each row represents a census tract with 147 features covering population, income, access metrics, and demographic breakdowns.

Variables Analyzed

Population, Housing Units, Group Quarters, Poverty Rate, Median Family Income, Low-Income Population, Children (0-17), Seniors (65+), White, Black, Asian, Native Hawaiian/Pacific Islander, American Indian/Alaska Native, Multiracial, Hispanic, Housing Units Without Vehicle, SNAP Benefits Recipients

Demographic Shifts & Vulnerable Populations

The analysis examines how the composition of food desert areas changed, with particular attention to children, seniors, and SNAP benefit recipients — the populations most affected by limited food access.

Comparison of children and seniors population

Children vs. Seniors in Food Desert Tracts

By 2019, 8,536 children were living in areas of extreme low food access — an increase of 3,657 children (+75%) from 2015. Senior population remained nearly flat (-0.8%).

In 2019, there were 8,536 children living in an area of extreme low food access. This was an increase of 3,657 children from 2015.

Changes in SNAP benefits recipients

SNAP Benefits Recipients (2015 vs. 2019)

Housing units receiving SNAP benefits surged from 325 to 906 — a 179% increase — indicating growing food insecurity despite rising median income in the area.

Demographic makeup comparison 2015 vs 2019

Demographic Makeup — 2015 vs. 2019

Donut charts comparing the racial/ethnic composition of food desert tracts. The most notable shifts include a 643% increase in Native Hawaiian/Pacific Islander residents, 164% increase in Black residents, and 112% increase in Hispanic residents.

Percentage Changes by Demographic Group

+16% White
+164% Black
+77% Asian
+643% NHOPI
+95% Multiracial
+112% Hispanic

Key Findings

Despite rising income and falling poverty rates in the area, the number of people affected by food access challenges grew dramatically — with children and minority populations disproportionately impacted.

Primary Findings

  1. Rapid population growth in food deserts. The population across identified tracts grew 41% from 2015 to 2019, outpacing the development of food retail infrastructure.
  2. Children are the most affected group. An additional 3,657 children were living in low food access areas by 2019, a 75% increase that signals urgent need for intervention.
  3. SNAP dependence surged 179%. Even as median family income rose ~10%, the number of households on SNAP nearly tripled — suggesting growing income inequality within these tracts.
  4. Dramatic demographic diversification. Minority populations grew at rates far exceeding the White population (+16%), with NHOPI (+643%), Black (+164%), and Hispanic (+112%) communities increasingly concentrated in food desert areas.
  5. Food desert tracts shifted geographically. Only one tract (06073019207) appeared in both years, showing that food access is a moving target as communities develop.

Implications

Tools & Technologies

Python 3 Pandas NumPy Matplotlib Seaborn USDA ERS Data GIS Atlas Google Colab