Gender and Economic Geography

Active learning helps students see how gender shapes economies by engaging them directly with geographic data and real-world cases. When students analyze spatial patterns, compare industries, and predict future changes, they move beyond abstract theory into concrete evidence of gender’s role in economic geography.

• 10th Grade
• Geography
• 3 activities
• 40 min–45 min

Learning Objectives

1. Analyze how increased female labor force participation has altered the spatial distribution of industries and employment opportunities in specific US regions.
2. Compare the geographic patterns of gender-specific economic activities in urban versus rural areas of the United States.
3. Evaluate the impact of historical gender roles on the development of suburban landscapes and their current economic functions.
4. Predict how evolving gender roles might reshape the economic geography of specific US cities or rural communities in the next two decades.

Case Study Analysis

⏱ 45 min·Small Groups

Data Analysis: Female Labor Force Participation Maps

Students analyze World Bank data maps showing female labor force participation rates by country alongside maps of GDP per capita, urbanization rates, and educational attainment. Small groups identify correlations, outliers (Gulf states have high GDP but low female participation; some lower-income countries have high female participation), and geographic patterns that suggest what factors beyond wealth drive female economic inclusion.

Prepare & details

Analyze how increasing female labor participation changes the economic geography of a nation.

Facilitation Tip: During the data analysis activity, have students work in pairs to trace how female labor force participation shifts across regions before they interpret the maps.

Setup: Groups at tables with case materials

Materials: Case study packet (3-5 pages), Analysis framework worksheet, Presentation template

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

Case Study Analysis

⏱ 40 min·Pairs

Case Study Comparison: Export Processing Zones

Present students with two case studies of export processing zones: one in Bangladesh's garment industry and one in Mexico's maquiladora sector. Both have recruited predominantly female workforces. Pairs analyze why companies target female workers in these zones, how this has changed women's economic geography in these regions, and what the consequences have been for family structures and urban growth patterns.

Prepare & details

Compare the geographic distribution of gender-specific economic activities.

Facilitation Tip: For the case study comparison, assign each group a different export processing zone to research so the class can collectively compare patterns.

Setup: Groups at tables with case materials

Materials: Case study packet (3-5 pages), Analysis framework worksheet, Presentation template

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

Case Study Analysis

⏱ 40 min·Small Groups

Prediction Workshop: How Will Changing Gender Roles Reshape Landscapes

Introduce students to two trends: rising female labor force participation in developing economies and the growth of remote work technology. Small groups develop a written prediction for how one of these trends will reshape either urban, suburban, or rural landscapes over the next 20 years. Groups share predictions and the class identifies which geographic areas are likely to experience the most significant landscape changes.

Prepare & details

Predict how changing gender roles will reshape urban and rural landscapes.

Facilitation Tip: In the prediction workshop, provide a set of guiding questions to focus student discussions on spatial consequences rather than generic economic trends.

Setup: Groups at tables with case materials

Materials: Case study packet (3-5 pages), Analysis framework worksheet, Presentation template

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

Teaching This Topic

Teach this topic by treating gender as a geographic variable, not just a social one, so students see its measurable effects on economic landscapes. Avoid presenting gender roles as static; instead, use historical and contemporary examples to show how they evolve and reshape places. Research suggests students grasp these concepts better when they work with real data and case studies before theorizing.

What to Expect

Successful learning shows when students can explain how gender divisions influence where jobs locate, why industries cluster in certain places, and how these patterns change over time. Look for precise use of data, clear geographic reasoning, and thoughtful predictions grounded in evidence.

Watch Out for These Misconceptions

Common Misconception

During the Data Analysis: Female Labor Force Participation Maps activity, watch for students who assume economic geography is gender-neutral.

What to Teach Instead

During the activity, have students annotate the maps with examples of industries or regions where gender clearly shapes labor patterns, such as textile manufacturing in South Asia or healthcare employment in US metropolitan areas.

Common Misconception

During the Case Study Comparison: Export Processing Zones activity, watch for the assumption that increasing female labor force participation always indicates progress.

What to Teach Instead

Use the case studies to highlight how zones recruit women into low-wage, precarious jobs, then ask students to compare wage data and unionization rates across sites as evidence of uneven outcomes.

Common Misconception

During the Prediction Workshop: How Will Changing Gender Roles Reshape Landscapes activity, watch for students who assume gender roles affect all places equally.

What to Teach Instead

Ground the workshop in specific regions students studied earlier, asking them to predict changes in one city or rural area while considering local cultural and economic contexts.

Assessment Ideas

Quick Check

After the Data Analysis: Female Labor Force Participation Maps activity, provide two contrasting US county profiles and ask students to identify one economic activity likely gender-specific in each, using the maps to justify their answers.

Discussion Prompt

After the Case Study Comparison: Export Processing Zones activity, facilitate a discussion where students share predictions about how changing gender roles might alter the spatial organization of retail and commercial zones, citing evidence from the case studies.

Exit Ticket

During the Prediction Workshop: How Will Changing Gender Roles Reshape Landscapes activity, ask students to write one example of how gender roles have influenced the economic geography of a US city or region they know, and one prediction for future changes based on their workshop work.

Extensions & Scaffolding

• Challenge students to identify a US city where gendered economic geography is visible and propose a policy to address an inequity they discover.
• Scaffolding: Provide a partially completed data table for the map analysis activity to help students focus on patterns rather than data collection.
• Deeper exploration: Ask students to research how gendered labor migration has reshaped a specific industry’s geographic distribution over the past 30 years.

Key Vocabulary

Gendered Division of Labor	The assignment of different tasks and roles to men and women within an economy, often reflected in geographic patterns of employment and economic activity.
Female Labor Force Participation Rate	The percentage of women of working age who are employed or actively seeking employment, a key indicator of changing economic geography.
Export Processing Zone (EPZ)	Designated areas within developing countries that offer incentives to foreign manufacturers, often characterized by a high concentration of female workers.
Suburbanization	The outward growth of cities into surrounding rural areas, often creating residential landscapes that historically assumed a gendered division of domestic and economic labor.
Spatial Organization of Economy	How economic activities, industries, and labor are distributed across geographic space, influenced by factors like gender, infrastructure, and policy.