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Neighborhood · Ranked #76,223 of 84,120 nationally

Clinton Lake Eviction Risk: Lower , Imperial

Tract 42003452000 · Allegheny County, PA · pop 6,375 · neighborhood within 1.3 mi

Census tract 42003452000 runs through the Clinton Lake area of Imperial. With 6,375 residents, it scores 4.7/10 for landlords. That is riskier than roughly 28% of the 84,120 US census tracts we score.

32% of renter households here spend at least 30% of income on rent, a high level, and 9% are severely burdened at 50% or more. Average gross rent is $880 monthly, set against $99,624 in average yearly household income, roughly 11% of income at the averages. About 22% of occupied units are renter-occupied.

Risk score
1.8
Lower
Confidence 100% · 1–10 scale
Household mix · 100 hh
Burdened renters 7% Stable renters 15% Owners 78%
Tract context
Occupied units2,766
Renter share22.3%
SVI overall0.17
Poverty rate2.1%
Median income$99,624

Percentile rank

Higher percentile = riskier than more peers.
Within neighborhood
50 th percentile
Rank, 50th percentileLowHigh
#1 of 1 tracts In Clinton Lake
Moderate
Within parent city
50 th percentile
Rank, 50th percentileLowHigh
#1 of 1 tracts In Imperial
Moderate
Within county
8 th percentile
Rank, 8th percentileLowHigh
#362 of 394 tracts In Allegheny County
Very Low
Within state
11 th percentile
Rank, 11th percentileLowHigh
#3,065 of 3,445 tracts In Pennsylvania
Very Low
Geographic context

Risk heat across Imperial and the region

Centroid at 40.4783, -80.2811 · click any tract to drill in

Why Clinton Lake scores 1.8

9 axes · 1 = landlord-friendly
Local political climate
Inherited from Imperial
4.7
Regional political climate
2024 county presidential margin
6.0
State political climate
Pennsylvania legislature & governorship
3.4
Economic stress
2.1% poverty · this tract
1.0
Supply constraint
$880 rent vs county FMR
1.9
Rent control risk
Inherited from Imperial
2.9
Eviction process difficulty
State law sets the calendar
3.0
Tenant organizing strength
Inherited from Imperial
7.9
Housing court bias
Inherited from Imperial
2.5

How Clinton Lake compares

Risk score vs. parent city, county, state.
Clinton Lake risk score vs. parent city / county / stateThis tract: 1.81.8This tracttract 452000Imperial: 3.43.4Imperialparent cityCounty: 4.14.1Countyavg tract in countyState: 3.93.9Stateavg tract in state
CDC Social Vulnerability Index

SVI percentile: 17

CDC/ATSDR 2022. Higher = more vulnerable. National percentile across 84k tracts.

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)

  • 151Total filings over 7 yrs
  • 4.94%Avg annual filing rate
  • 6.5%Peak (2003)
  • 24Filings in 2006 (latest validated)
Filings by year 2000 to 2006
Year-by-year eviction filings in tract 420034520002000: 13 filings (2.81/100 renter HHs)2001: 24 filings (5.18/100 renter HHs)2002: 17 filings (3.67/100 renter HHs)2003: 30 filings (6.48/100 renter HHs)2004: 18 filings (3.89/100 renter HHs)2005: 25 filings (6.39/100 renter HHs)2006: 24 filings (6.13/100 renter HHs)
Filings climbed 85% over the past 7 months.
Analysis

What drives eviction risk in Clinton Lake

The score leans hardest on tenant organizing strength at 7.9/10. That part comes from the wider legal climate rather than the tract itself. Statewide and court-level factors such as eviction-process speed and rent-control exposure are inherited from Imperial, while the economic and supply signals are measured at the tract level.

Set against its neighbors, this tract scores below the Allegheny County average of 5.6 and below the Pennsylvania statewide average of 5.4. Within its own county it reads on the safer side for landlords.

The tract is predominantly White and ranks around the 17th 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.

Princeton's Eviction Lab logged 151 eviction filings here over 7 tracked years, with about 4.9% of renter households facing a filing in a typical year. Filings peaked at 6.5% of renter households in 2003.

For a landlord, conditions here are middle-of-the-road. Standard screening and prompt, documented notices usually keep cases short.

Frequently asked

About tract 42003452000

Q1

What is the eviction-risk score for census tract 42003452000?

Census tract 42003452000 in the Clinton Lake neighborhood scores 1.8/10 (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 42003452000?

Median gross rent is $880/month (ACS 5-year 2023, table B25064). 32% of renter households are cost-burdened.
Q3

What is the poverty rate in tract 42003452000?

2.1% of residents in tract 42003452000 live below the federal poverty line (ACS B17001, 2023). Population: 6,375.
Q4

How socially vulnerable is tract 42003452000?

CDC Social Vulnerability Index ranks this tract in the 17th percentile nationally. Sub-themes: socioeconomic 24th, household 12th, minority 12th, housing 38th.
Q5

Is tract 42003452000 considered part of Clinton Lake?

Yes. Per Census Bureau 2020 Block Assignment Files, the plurality of blocks in tract 42003452000 fall within Clinton Lake (neighborhood centroid within 1.3 miles, OSM data).
Q6

How many evictions are filed each year in tract 42003452000?

Princeton Eviction Lab recorded 151 eviction filings across 7 validated years in tract 42003452000 (2000-2018). The average annual filing rate is 4.94% of renter households, peaking at 6.5% in 2003. Source: Eviction Lab tract-validated 2024 release.
Q7

How does tract 42003452000 compare to Imperial overall?

Tract 42003452000 scores 1.8/10, lower than the parent city of Imperial at 3.4/10. City-scale signals (state law, local rent controls, court bias) are inherited from Imperial; what makes this tract different are its tract-specific economic stress and supply-constraint sub-scores.
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