Causes: housing discrimination, economic inequality, personal preferences. Effects: unequal access to resources, limited opportunities, social isolation.

Causes: economic opportunities, migration, population growth. Effects: increased population density, environmental degradation, social changes.

Causes: increased mobility, economic development, reduced congestion. Effects: increased property values, displacement, environmental impacts.

Causes: hurricanes, earthquakes, floods. Effects: displacement, infrastructure damage, economic losses, social disruption.

Causes: economic growth, investment, urban renewal. Effects: gentrification, displacement, increased property values, infrastructure improvements.

Causes: investment in urban areas, increased demand for housing, changing demographics. Effects: displacement of low-income residents, increased property values, cultural changes.

Causes: population growth, car dependency, affordable housing. Effects: increased traffic, environmental degradation, loss of farmland, social isolation.

Causes: lack of access to education, job opportunities, discrimination. Effects: poverty, crime, social unrest, health disparities.

Causes: greenhouse gas emissions, deforestation, industrialization. Effects: sea-level rise, extreme weather events, heat waves, water scarcity.

Causes: lack of social connections, mobility limitations, poverty. Effects: mental health issues, reduced community engagement, increased crime.

Data collected about cities, towns, and built-up areas, including demographics, economics, housing, and infrastructure.

Data that can be measured and expressed numerically, used to describe trends and patterns.

Process of collecting data about population and housing, conducted regularly by governments for planning and policy-making.

Separation of racial/ethnic groups into different residential areas, often caused by housing discrimination and economic inequality.

Descriptive data that cannot be measured numerically, used to understand experiences, perspectives, and feelings.

Observing and collecting data in person, including interviews, surveys, and observations, to understand the context of a place or issue.

The process of designing and managing the physical growth and development of cities and urban areas.

Statistical data about the characteristics of a population, such as age, gender, race, and income.

The process of examining geographic patterns to identify relationships, associations, or clusters.

Urban development that meets the needs of the present without compromising the ability of future generations to meet their own needs.

The map shows residential segregation patterns in New York City, with different colors representing different racial or ethnic groups.

The map shows the spatial distribution and clustering of racial and ethnic groups, indicating areas of high and low segregation.

The map represents quantitative data from the 2010 Census, visualized to show racial and ethnic distribution.

Areas with high levels of segregation can be targeted for policies and programs aimed at promoting integration and equity.

The map can suggest potential disparities in access to resources and opportunities based on residential segregation patterns.

The map provides valuable information for urban planners to address issues of segregation and promote equitable development.

The map may not capture the complexities of individual experiences and social dynamics that contribute to segregation.

Qualitative data from interviews and field studies could provide insights into the lived experiences of residents in segregated areas.

The map can inform policies related to housing, education, and economic development aimed at reducing segregation and promoting integration.

The map highlights spatial patterns of inequality and segregation, providing a visual representation of disparities in urban areas.