This poster presentation summarizes a research project that analyzed the relationship between wealth of neighborhoods and Twitter usage. The researcher gathered over 6 million tweets and collected median gross rent and population data from the American Community Survey for different geographic locations. They then cleaned and merged the Twitter and survey data, converting location codes to be compatible. An econometric analysis was conducted to create a model predicting the number of tweets per location based on median gross rent and population. The results showed that wealthier neighborhoods tweet more while the wealthiest neighborhoods tweet less, though the model only explained 3% of the variability in the data.