Electoral Geography and Redistricting
Analyzing the spatial patterns of voting behavior, the impact of electoral systems, and the controversies surrounding redistricting and gerrymandering.
About This Topic
Electoral geography examines how spatial factors shape voting behavior and how political boundaries are drawn to manage or manipulate electoral outcomes. In the US curriculum, this is one of the most directly relevant topics to students' lives as future voters: congressional districts, state legislative maps, and school board boundaries are all products of deliberate geographic choices that affect representation. The decennial census triggers a redistricting cycle that reshapes political power for the following decade.
Students analyze the spatial patterns of American voting behavior, examining how rural-urban divides, economic geography, and residential sorting produce predictable regional voting patterns. They then study gerrymandering, the manipulation of district boundaries to favor one party or group, including common techniques like packing and cracking. Supreme Court cases like Gill v. Whitford and Rucho v. Common Cause provide current legal context for the geographic and democratic dimensions of redistricting.
Active learning is particularly well-suited to this topic because students can work with real map data and design their own districts, experiencing firsthand the trade-offs between geographic compactness and representative fairness.
Key Questions
- Explain how geographic factors influence voting patterns in a region.
- Analyze the impact of gerrymandering on democratic representation.
- Design a fair redistricting plan for a hypothetical electoral district.
Learning Objectives
- Analyze the correlation between demographic data (e.g., race, income, age) and voting patterns in specific US congressional districts.
- Evaluate the effectiveness of different redistricting criteria, such as compactness, contiguity, and partisan fairness, in achieving representative outcomes.
- Design a hypothetical congressional district map for a given state, justifying the boundary choices based on established redistricting principles and geographic features.
- Compare and contrast the historical impact of gerrymandering on minority representation in the US South versus urban centers.
- Critique a given redistricting plan using quantitative measures like the efficiency gap or partisanship score.
Before You Start
Why: Students need a foundational understanding of how political boundaries (states, counties) are established and how they relate to population distribution before analyzing electoral districts.
Why: Analyzing voting patterns requires students to interpret demographic data, such as census information on race, age, and income, which they would have encountered in earlier units.
Key Vocabulary
| Gerrymandering | The practice of drawing electoral district boundaries in a way that favors one political party or group, often leading to unrepresentative outcomes. |
| Cracking | A gerrymandering technique that divides a cohesive voting bloc among several districts so that it is a minority in each one. |
| Packing | A gerrymandering technique that concentrates voters of an opposing party into a single district, ensuring they win that district but lose others. |
| Contiguity | The requirement that all parts of a single electoral district must be connected geographically, with no disconnected pieces. |
| Compactness | A principle of redistricting that aims for districts to be drawn in a geographically sensible, non-irregular shape, often measured by mathematical formulas. |
Watch Out for These Misconceptions
Common MisconceptionGerrymandering only affects the party that loses districts.
What to Teach Instead
Extreme gerrymanders reduce competitive races, which decreases voter turnout, reduces accountability for incumbents, and increases partisan polarization for everyone. Students who map competitive vs. non-competitive districts alongside turnout data can see these broader geographic effects.
Common MisconceptionGeographic compactness is a neutral standard for fair districts.
What to Teach Instead
Compact districts often underrepresent minority voters because minority populations are often concentrated in urban areas. A purely compactness-based standard can be as discriminatory as intentional gerrymandering. The redistricting simulation activity makes this trade-off concrete.
Common MisconceptionComputers can draw perfectly neutral districts.
What to Teach Instead
Algorithmic redistricting automates human choices about which criteria to optimize. Any algorithm reflects the values of whoever built it. Students who go through the redistricting simulation understand that neutrality in district drawing is a political claim, not a mathematical fact.
Active Learning Ideas
See all activitiesRedistricting Simulation: Draw Your Own District
Using a simplified map of a fictional state with population and voting data, small groups each draw district maps according to different criteria: maximum compactness, majority-minority representation, competitive districts, and incumbent protection. Groups present their maps and explain the geographic trade-offs each approach creates.
Map Analysis: Packing and Cracking
Provide students with before-and-after redistricting maps from a real US state. Groups identify examples of packing (concentrating opposing voters) and cracking (splitting a voting bloc) and calculate how each technique affects the likely party outcome for each district.
Think-Pair-Share: Urban-Rural Voting Divide
Students receive maps showing county-level voting patterns alongside maps of population density, median income, and educational attainment. Pairs identify which geographic variables most closely correlate with voting patterns in their region and share hypotheses about the causal mechanisms.
Socratic Seminar: What Makes a Fair District?
Students read short excerpts from the Supreme Court's majority and dissenting opinions in Rucho v. Common Cause (2019). The seminar explores whether geographic criteria can produce a politically neutral standard for redistricting and what role courts should play in policing geographic manipulation.
Real-World Connections
- Political scientists and cartographers at organizations like the Brennan Center for Justice analyze proposed redistricting maps, using GIS software to measure compactness and partisan bias, informing public debate and legal challenges.
- State legislators and special commissions in states like California and North Carolina are directly involved in the process of drawing new congressional and state legislative maps after each census, a process heavily influenced by geographic considerations and political strategy.
- Voters in swing states, such as Pennsylvania or Arizona, directly experience the impact of gerrymandering when their congressional representation is disproportionately shaped by district boundaries drawn to favor one party, affecting the perceived competitiveness of elections.
Assessment Ideas
Present students with two maps of the same hypothetical state: one drawn with a focus on compactness and contiguity, and another drawn using packing and cracking. Ask: 'Which map better reflects the principle of 'one person, one vote' and why? What are the potential consequences of each map for voter engagement and political accountability?'
Provide students with a simplified US state map and a set of demographic data for different counties. Ask them to identify two counties that might be 'packed' and two that might be 'cracked' by a hypothetical partisan redistricting effort, and to briefly explain their reasoning.
On an index card, have students define 'gerrymandering' in their own words and name one specific technique used in gerrymandering. Then, ask them to list one geographic feature or principle (e.g., river, county line, compactness) that could be used to argue *against* a gerrymandered district.
Frequently Asked Questions
What is gerrymandering and why is it a geographic issue?
How do the Voting Rights Act and redistricting interact?
How does residential sorting affect electoral geography?
How does active learning improve understanding of redistricting?
Planning templates for Geography
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