Neighborhood · Ranked #66,742 of 84,120 nationally
McDonald Heights Eviction Risk: Lower , Girard
Tract 39155932500 ·
Trumbull County, OH · pop 3,160 · neighborhood within 1.1 mi
Tract 39155932500 covers the McDonald Heights neighborhood of Girard in Ohio. Home to 3,160 residents, it scores 3.7/10 on landlord eviction risk. That is riskier than roughly 7% of the 84,120 US census tracts we score.
Rent eats 30% or more of income for 13% of renter households, a modest level, and 0% are severely burdened at 50% or more. Average gross rent is $834 monthly, set against $73,625 in average yearly household income, roughly 14% of income at the averages. About 17% of occupied units are renter-occupied.
Risk score
2.5
Lower
Confidence 100% · 1–10 scale
Household mix · 100 hh
Burdened renters 2%Stable renters 15%Owners 83%
Tract context
Occupied units1,380
Renter share16.9%
SVI overall0.15
Poverty rate3.8%
Median income$73,625
Percentile rank
Higher percentile = riskier than more peers.
Within neighborhood
0th percentile
#3 of 3 tracts In McDonald Heights
Very Low
Within parent city
50th percentile
#1 of 1 tracts In Girard
Moderate
Within county
6th percentile
#51 of 54 tracts In Trumbull County
Very Low
Within state
26th percentile
#2,348 of 3,162 tracts In Ohio
Low
Geographic context
Risk heat across Girard and the region
Centroid at 41.1636, -80.7232 · click any tract to drill in
Why McDonald Heights scores 2.5
9 axes · 1 = landlord-friendly
Local political climate
Inherited from Girard
5.0
Regional political climate
2024 county presidential margin
4.5
State political climate
Ohio legislature & governorship
2.4
Economic stress
3.8% poverty · this tract
1.0
Supply constraint
$834 rent vs county FMR
4.4
Rent control risk
Inherited from Girard
2.5
Eviction process difficulty
State law sets the calendar
2.0
Tenant organizing strength
Inherited from Girard
4.1
Housing court bias
Inherited from Girard
2.6
How McDonald Heights compares
Risk score vs. parent city, county, state.
CDC Social Vulnerability Index
SVI percentile: 15
CDC/ATSDR 2022. Higher = more vulnerable. National percentile across 84k tracts.
23%Socioeconomic
46%Household composition
4%Racial/ethnic minority
14%Housing & transportation
Eviction filings
Court-record eviction history
Court-validated eviction filings collected from county clerks and consolidated by the Eviction Lab at Princeton University. Filing rate is filings per 100 renter households.1
Historic baseline (2000–2018)
6Total filings over 1 yrs
2.33%Avg annual filing rate
2.3%Peak (2016)
6Filings in 2016 (latest validated)
Comparable tracts
Census tracts with similar eviction risk
Within McDonald Heights. Closest by Eviction Risk Score.
Crude prevalence of conditions linked to housing loss. Source: CDC PLACES (cwsq-ngmh), 2023 model-based small-area estimates.
8.2%Housing insecurity
5.7%Utility-shutoff threat
9.6%Food insecurity
7.3%SNAP enrollment
5.6%Transit barriers
6.2%No health insurance
16.6%Frequent mental distress
26.1%Any disability
Analysis
What drives eviction risk in McDonald Heights
The score leans hardest on supply constraint at 4.4/10. That part is specific to this tract, computed from its own rent, income, and poverty figures. Statewide and court-level factors such as eviction-process speed and rent-control exposure are inherited from Girard, while the economic and supply signals are measured at the tract level.
Set against its neighbors, this tract scores well below the Trumbull County average of 5.3 and below the Ohio statewide average of 5.1. Within its own county it reads on the safer side for landlords.
The tract is predominantly White and ranks around the 15th percentile nationally on the CDC Social Vulnerability Index, a measure of how exposed residents are to housing and economic shocks. That is a relatively low-vulnerability reading.
In CDC survey modeling, about 8.2% of adults here said they could not pay rent or mortgage at some point in the past year, and 5.7% faced a utility shutoff threat, a common early warning before a filing.
For a landlord, this is among the easier places to operate: faster process, lighter tenant-protection overhead, and shorter typical cases.
Frequently asked
About tract 39155932500
Q1
What is the eviction-risk score for census tract 39155932500?
Census tract 39155932500 in the McDonald Heights neighborhood scores 2.5/10 (Lower tier). The Eviction Risk Score blends state law, county filing rates, parent-city politics, and tract-specific rent-to-income ratios + poverty signals.
Q2
What is the average rent in tract 39155932500?
Median gross rent is $834/month (ACS 5-year 2023, table B25064). 13% of renter households are cost-burdened.
Q3
What is the poverty rate in tract 39155932500?
3.8% of residents in tract 39155932500 live below the federal poverty line (ACS B17001, 2023). Population: 3,160.
Q4
How socially vulnerable is tract 39155932500?
CDC Social Vulnerability Index ranks this tract in the 15th percentile nationally. Sub-themes: socioeconomic 23th, household 46th, minority 4th, housing 14th.
Q5
Is tract 39155932500 considered part of McDonald Heights?
Yes. Per Census Bureau 2020 Block Assignment Files, the plurality of blocks in tract 39155932500 fall within McDonald Heights (neighborhood centroid within 1.1 miles, OSM data).
Q6
How many evictions are filed each year in tract 39155932500?
Princeton Eviction Lab recorded 6 eviction filings across 1 validated years in tract 39155932500 (2000-2018). The average annual filing rate is 2.33% of renter households, peaking at 2.3% in 2016. Source: Eviction Lab tract-validated 2024 release.
Q7
What share of households in tract 39155932500 struggle to pay rent?
About 8.2% of adults in this tract reported housing insecurity (could not pay rent or mortgage in the past 12 months), per the CDC PLACES 2023 model-based small-area estimate. 5.7% also reported utility shutoff threats, a frequent precursor to eviction filings.
Q8
How does tract 39155932500 compare to Girard overall?
Tract 39155932500 scores 2.5/10, right in line with the parent city of Girard at 2.6/10. City-scale signals (state law, local rent controls, court bias) are inherited from Girard; what makes this tract different are its tract-specific economic stress and supply-constraint sub-scores.