Neighborhood · Ranked #67,219 of 84,120 nationally
Evergreen Eviction Risk: Lower , Glenshaw
Tract 42003427100 ·
Allegheny County, PA · pop 5,524 · neighborhood within 1.0 mi
Tract 42003427100 sits in the Evergreen area of Allegheny County, PA, carrying an eviction-risk score of 3/10. Population here is 5,524. Against Allegheny County at 40.6%, about one in five of renters here are cost-burdened.
Risk score
3
Lower
Confidence 80% · 1–10 scale
Household mix · 100 hh
Burdened renters 2%Stable renters 7%Owners 91%
Tract context
Occupied units2,278
Renter share8.8%
SVI overall0.01
Poverty rate3.6%
Median income$109,153
Percentile rank
Higher percentile = riskier than more peers.
Within neighborhood
50th percentile
#2 of 3 tracts In Evergreen
Moderate
Within county
0th percentile
#394 of 394 tracts In Allegheny County
Very Low
Within state
19th percentile
#2,785 of 3,445 tracts In Pennsylvania
Very Low
National
20th percentile
#67,219 of 84,120 tracts In U.S.
Low
Geographic context
Risk heat across Glenshaw and the region
Centroid at 40.5167, -79.9769 · click any tract to drill in
Why Evergreen scores 3
9 axes · 1 = landlord-friendly
Local political climate
Inherited from Glenshaw
3.4
Regional political climate
2024 county presidential margin
6.0
State political climate
Pennsylvania legislature & governorship
3.4
Economic stress
3.6% poverty · this tract
1.0
Supply constraint
$1,680 rent vs county FMR
8.1
Rent control risk
Inherited from Glenshaw
3.4
Eviction process difficulty
State law sets the calendar
5.0
Tenant organizing strength
Inherited from Glenshaw
4.0
Housing court bias
Inherited from Glenshaw
5.0
How Evergreen compares
Risk score vs. parent city, county, state.
CDC Social Vulnerability Index
SVI percentile: 1
CDC/ATSDR 2022. Higher = more vulnerable. National percentile across 84k tracts.
7%Socioeconomic
5%Household composition
14%Racial/ethnic minority
5%Housing & transportation
Historical context · 1930s redlining
HOLC grade: C: Definitely Declining
This tract sits within an area graded by the Home Owners' Loan Corporation in the 1930s. Grade C meant mixed-race / working-class neighborhoods rated as risky. These designations suppressed minority homeownership for generations and remain a documented predictor of present-day eviction filings and rent burden.
0%Grade A
0%Grade B
0%Grade C
0%Grade D · redlined
Source: Mapping Inequality (americanpanorama.org), 1935-1940 HOLC residential security maps, aggregated to 2020 census tracts by area share. CC BY-NC-SA 4.0.
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
Pulling hardest the other way is economic stress at 1/10. The voucher gap is 31.3%: households holding assistance that local rents will not absorb, which surfaces as churn rather than arrears.
It sits 2.0 points below the Allegheny County average of 5.0. Sitting well above the midpoint, supply constraint reads 8.1/10. Running hot, court filing pressure reads 7.8/10.
The severe-burden share is 11%, and it is the single best predictor in this model of a filing that actually reaches judgment. The filing record is not thin: 26 evictions over 7 years of observation. Filings peaked in 2002 at 5.4% of renter households.
This ground was mapped C ("Definitely Declining") on the 1930s HOLC security maps for Pittsburgh. That grading determined who could get a mortgage, and its imprint on tenure and rent burden is still visible in the ACS data above. In a typical year about 3.2% of renter households face a filing.
Nationally it ranks #67,219 of 84,120 for landlord eviction difficulty. Only 9% of units are renter-occupied. Rental comparables are thin; price a renewal off the nearest genuine rental sub-market rather than off surrounding sale prices.
These are ACS 5-year estimates; the score moves when the ACS, court-record, or statute inputs behind it move.
Frequently asked
About tract 42003427100
Q1
What is the eviction-risk score for census tract 42003427100?
Census tract 42003427100 in the Evergreen neighborhood scores 3/10 (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 42003427100?
Median gross rent is $1,680/month (ACS 5-year 2023, table B25064). 20% of renter households are cost-burdened.
Q3
What is the poverty rate in tract 42003427100?
3.6% of residents in tract 42003427100 live below the federal poverty line (ACS B17001, 2023). Population: 5,524.
Q4
How socially vulnerable is tract 42003427100?
CDC Social Vulnerability Index ranks this tract in the 1th percentile nationally. Sub-themes: socioeconomic 7th, household 5th, minority 14th, housing 5th.
Q5
Is tract 42003427100 considered part of Evergreen?
Yes. Per Census Bureau 2020 Block Assignment Files, the plurality of blocks in tract 42003427100 fall within Evergreen (neighborhood centroid within 1.0 miles, OSM data).
Q6
How many evictions are filed each year in tract 42003427100?
Princeton Eviction Lab recorded 26 eviction filings across 7 validated years in tract 42003427100 (2000-2018). The average annual filing rate is 3.19% of renter households, peaking at 5.4% in 2002. Source: Eviction Lab tract-validated 2024 release.
Q7
How does tract 42003427100 compare to Glenshaw overall?
Tract 42003427100 scores 3/10, right in line with the parent city of Glenshaw at 3.2/10. City-scale signals (state law, local rent controls, court bias) are inherited from Glenshaw; what makes this tract different are its tract-specific economic stress and supply-constraint sub-scores.
Q8
Was tract 42003427100 historically redlined?
Yes. This tract sits inside an area graded by the Home Owners' Loan Corporation in the 1930s, with a dominant grade of C. 0% of the tract's area was rated D ("Hazardous"), the redlined tier. HOLC redlining systematically denied mortgage credit to Black, immigrant, and working-class neighborhoods and remains a documented predictor of present-day eviction filings, rent burden, and homeownership gaps. Source: Mapping Inequality (americanpanorama.org), Robert K. Nelson et al.