Data Visualization Lab

Gentrification: Housing & Demographics

This page explores patterns linked to gentrification by examining demographic concentration and income distribution across household types. The layout highlights how population structure and income levels relate to urban change.

Total population

9,757,179

Female share

50.5%

Largest visible age group

25 to 34 years

Data Summary

Key indicators that help explain patterns related to gentrification and neighborhood change.

Demographic Table

Age and sex values from the visible dataset.

Label	Population	Percent

Key Takeaways

Interpretation of patterns relevant to gentrification.

Male

49.5%

Female

50.5%

Sex ratio

97.9

Total population provides context for scale when analyzing neighborhood change.

A concentration in ages 25–44 often aligns with areas experiencing economic and housing shifts.

The gender split is balanced, suggesting changes are driven more by economic factors than gender differences.

Visualizations

Two visualizations highlighting patterns related to demographic concentration and income inequality.

Visualization 1: Age Distribution

A ranked dot chart showing which age groups dominate the population, useful for identifying groups most associated with urban change.

Visualization 2: Income Heatmap

A heatmap showing how income levels vary across household types, highlighting potential economic pressure linked to gentrification.

Lower share

Higher share

Darker cells highlight higher concentrations, indicating where income levels may contribute to housing pressure.

Underlying Housing Data

Housing and income values used to examine economic distribution and pressure.

Housing Income Table

The values used to build the heatmap.

Label	Households	Families	Married couple families	Nonfamily households