Indiana Eviction Filings

Data collected by: Dan Bernstein @Legal Services Corporation - Civil Court Data Initiative
Analysis by: Ian Castro, Julia Greenberg, Hannah Moore, Amit Cohen, Tim Thomas @U.C. Berkeley's Urban Displacement Project & Eviction Research Network

Updated: October 18, 2022


Evictions have long-term impacts on households' future housing, health, and economic outcomes. Despite local, state, and federal moratoriums, over 88,800 renters had evictions on file in Indiana during the pandemic. Eviction filing rates among Black and “Other group” renters were consistently higher than eviction rates among White renters throughout the study period.

  • Eviction filings were low during the CARES Act in late March 2020 to the end of July. However, case rates rapidly increased to about 80% of the historical average during the CDC Moratorium moratoria and broke the average in March of 2022.
  • 1 in 14 renters in Marion County & Indianapolis had an eviction filing between March 2020 and April 2022.
  • In 2021:
    • 1 in 17 renters experienced an eviction filing (5.8%)
    • 1 in 8 “Other Group” (mixed-race, Indigenous, and other racial/ethnic groups) renters experienced an eviction filing (11.5%)
    • 1 in 11 Black renters experienced an eviction filing (8.8%)
    • 1 in 18 Latine renters experienced an eviction filing (5.4%)
    • 1 in 20 White renters experienced an eviction filing (4.9%)
    • 1 in 58 Asian renters experienced an eviction filing (1.7%)

In collaboration with the Legal Services Corporation, UC Berkeley’s Eviction Research Network and Urban Displacement Project analyzed eviction filings in the state of Delaware from 2016 to 2021. An eviction filing marks the point at which formal eviction proceedings have begun. Depending on the situation, households may leave anytime prior to a notice to after an eviction lawsuit.

In this analysis, we will show you where and how many evictions were on file both before and during the pandemic. We'll also show you the racial disparities in Indiana evictions.

To learn more about how we created these maps and plots, and what data we are using, see our methodology page.

Moratoriums greatly reduced evictions

Cases over time

Desktop users: To filter by county, click on its name once. To zoom in on the plot, click and drag to select the area you wish to zoom in on. To reset the plot, double click anywhere inside of it.

The graph above shows evictions by county in Indiana from 2016 to 2022, with counties experiencing the most evictions at the top and the counties experiencing the fewest evictions at the bottom. Marion County, where Indianapolis is located, had by far the most evictions of any county in the state throughout the entire time period. The sharp decrease in evictions after the CARES Act in March 2020 is evident in the graph, however counts quickly rose to near pre-pandemic levels by July.

The counties in the graph above are ordered by the average number of evictions across the entire time period.

Note that data is updated as recent case information becomes available.

The content of this graph is repeated in tabular form in the appendix.

Eviction counts return to historical average


The graph above compares pandemic eviction rates to pre-pandemic averages. Bars that extend above the dashed line represent months where rates were higher than the historical average for that month, while bars below the dashed line represent months where rates were lower than the historical average for that month. March has the lowest historical average at 4,027 eviction filings and August has the highest at 5,820.

Following the onset of the pandemic in March 2020, evictions dropped to 97% of their historical average in April, and remained relatively low until August 2020, when they increased to over 75% of average levels. Evictions in Indiana decreased very slightly after the CDC moratorium, which was issued in September 2020, and fluctuated through the end of 2021, when they started to approach historical average levels. In March 2022, evictions spiked to 16% above the historical average.

Black and "Other Groups" disproportionately evicted

The race and ethnicity of named parties per eviction filing were estimated using their last name and the demographic information of the census tract in which they lived. While our methodology gives good overall estimates, the results may be biased toward the racial majority in the corresponding tracts.

Eviction case rate by race

The graph above shows eviction rates by race and ethnicity and reveals the disproportionate impact evictions have on Black renters in Indiana - the eviction filing rate for these groups is greater than all other groups throughout the entire study period. The total number of renters per census tract by race and ethnicity in Indiana come from the ACS 2016 - 2020 5-year estimates. This value is the denominator of the eviction filing rate, with the numerator being the estimated race and ethnicity of those listed in the case. The eviction filing rate is then the percentage of renters in each group that we estimated to be the defendant of an eviction filing.

The eviction filling rate for all other ethnic groups and Black were consistently higher through 2016 to 2021. Latine and White eviction rates remain similarly throughout the 6 years while Asian eviction rate remains the lowest and the stablest throughout the 6 years comparing to the other ethnic groups.

All groups see a sharp decrease in eviction rates between 2019 and 2020 (due to pandemic-related restrictions), followed by an increase in 2021 (as levels returned to historical averages).

Asian, Black, Latine, and Other Groups eviction rates compared to White eviction rates

This graph demonstrates the amount by which the estimated eviction rates of Asian, Black, Latine, and "Other Group" renters compare to the estimated eviction rate for White renters. A ratio greater than 1 (dashed line) means that there is a greater eviction filing rate for non-White renters than White renters. A ratio less than 1 means the opposite - there is a lower eviction filing rate for non-White renters than White renters.

Black, Latine, and “Other group” renters have ratios greater than 1 while Asian renters have ratios less than 1 throughout the entire study period.

The ratios for each group stay relatively steady throughout the entire period, although there is a slight decrease in the ratio for Black and 'Other group' renters starting in 2020. During the pandemic, Black renter filing rates were 1.79 times higher than White filing rates while “Other Group” rates were 2.3 times higher.


As noted earlier, the demographic information is estimated by combining the probability of someones race or ethnicity based on their surname and informed by the racial composition of the census tract where they lived. The segregation map layer shows a majority of census tracts are 'mostly white'. This means it would be more likely than not that a mis-classification would estimate 'White', due to the demographic composition of the census tract to which the case was mapped. Therefore, these graphs are a conservative estimate of the racial disparity in eviction cases.

Also, the use of eviction filings in our data underestimates the real number of households that were forced to leave. Many households leave after a notice and prior to a filing while others may leave if threatened with an eviction before a notice. These latter occasions are considered “illegal evictions.” Alternatively, not all eviction filings lead to a removal as some may work out a deal with their landlord to stay. At this time, these data do not allow us to track these types of moves or stays, however we are constantly working on solutions to try and get at these types of statistics.

Finally, it should be noted that for the purposes of this report, '2022' ends with April 2022. There is still time left for these yearly average rates and ratios to change and trends that are observed now may be quite different by December.

This page will continue to be updated with new data and content. Follow us on twitter @EvictionNet for these updates.

Data table coming soon