Get the Data

Below are the aggregate data used in the Eviction Tracking System. We hope that you find new and productive ways to make use of them. When you do so, please cite as follows:

Peter Hepburn, Jacob Haas, Renee Louis, Adam Chapnik, Danny Grubbs-Donovan, Olivia Jin, Jasmine Rangel, and Matthew Desmond. Eviction Tracking System: Version 2.0. Princeton: Princeton University, 2020. www.evictionlab.org

Scroll below the data table to find code samples for using the data in your own applications. Please submit additional examples!

A data dictionary for these downloadable files can be found here.

Note: Some eviction filing data have a number of cases with missing or incorrect tract/zip code information. These cases will be listed in rows where the tract/zip is described as “sealed”. Values of filings by tract/zip may be underestimates as a result.

Note: As of August 2024, we have revised the census tracts in our baseline data to 2020 boundary definitions.

Sample code:

# Sample R code to plot weekly filings
# For Milwaukee until week 24 (06/13/2020)

# library(dplyr)
# library(tidyr)
# library(ggplot2)

mke_tract_week_2020 %>%   
  group_by(week, week_date) %>% 
  summarize(filings_2020 = sum(filings_2020),
            filings_avg = sum(filings_avg, na.rm = T)) %>%
  pivot_longer(cols = filings_2020:filings_avg,
               names_to = "year",
               values_to = "filings",
               names_prefix = "filings_") %>% 
  mutate(year = recode(year,
                       avg = "2012-2016")) %>% 
  ggplot(aes(x = week,
             y = filings)) +
  geom_line(aes(color = year)) +
  labs(title = "Milwaukee Weekly Eviction Filings")

Last Updated: September 17, 2025