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Neighborhood · Ranked #56,048 of 84,120 nationally

Windrow Clusters Eviction Risk: Lower , Moorestown-Lenola

Tract 34005700503 · Burlington County, NJ · pop 3,393 · neighborhood within 1.3 mi

Tract 34005700503 sits in the Windrow Clusters area of Moorestown-Lenola, NJ, carrying an eviction-risk score of 3.6/10. The severe-burden share is 41%, and it is the single best predictor in this model of a filing that actually reaches judgment.

Risk score
3.6
Lower
Confidence 100% · 1–10 scale
Household mix · 100 hh
Burdened renters 10% Stable renters 6% Owners 84%
Tract context
Occupied units1,275
Renter share16.0%
SVI overall0.11
Poverty rate5.3%
Median income$151,479

Percentile rank

Higher percentile = riskier than more peers.
Within neighborhood
100 th percentile
Rank, 100th percentileLowHigh
#1 of 2 tracts In Windrow Clusters
Very High
Within parent city
33 th percentile
Rank, 33rd percentileLowHigh
#3 of 4 tracts In Moorestown-Lenola
Low
Within county
5 th percentile
Rank, 5th percentileLowHigh
#111 of 117 tracts In Burlington County
Very Low
Within state
11 th percentile
Rank, 11th percentileLowHigh
#1,945 of 2,175 tracts In New Jersey
Very Low
Geographic context

Risk heat across Moorestown-Lenola and the region

Centroid at 39.9716, -74.9541 · click any tract to drill in

Why Windrow Clusters scores 3.6

9 axes · 1 = landlord-friendly
Local political climate
Inherited from Moorestown-Lenola
7.0
Regional political climate
2024 county presidential margin
6.0
State political climate
New Jersey legislature & governorship
6.8
Economic stress
5.3% poverty · this tract
1.3
Supply constraint
$956 rent vs county FMR
1.0
Rent control risk
Inherited from Moorestown-Lenola
7.1
Eviction process difficulty
State law sets the calendar
6.0
Tenant organizing strength
Inherited from Moorestown-Lenola
4.3
Housing court bias
Inherited from Moorestown-Lenola
5.5

How Windrow Clusters compares

Risk score vs. parent city, county, state.
Windrow Clusters risk score vs. parent city / county / state3.6This tracttract 7005034.5Moorestown-Lenolaparent city5.2Countyavg tract in county6.0Stateavg tract in state
CDC Social Vulnerability Index

SVI percentile: 11

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)

  • 88Total filings over 6 yrs
  • 10.84%Avg annual filing rate
  • 19.0%Peak (2013)
  • 9Filings in 2018 (latest validated)
Filings by year 2013 to 2018
Year-by-year eviction filings in tract 34005700503
Filings dropped 59% over the past 6 months.
Comparable tracts

Census tracts with similar eviction risk

Within Windrow Clusters. Closest by Eviction Risk Score.

CDC PLACES 2023 · health & economic stress

Eviction-adjacent indicators

Crude prevalence of conditions linked to housing loss. Source: CDC PLACES (cwsq-ngmh), 2023 model-based small-area estimates.

Analysis

What drives eviction risk in Windrow Clusters

Cost burden runs 64% here against 46.0% across Burlington County. Average gross rent is $956, 42% below the Moorestown-Lenola average.

What pushes it up most is court filing pressure at 9.3/10. Running cool, supply constraint reads 1/10. On the softer side, economic stress reads 1.3/10.

It sits 1.6 points below the Burlington County average of 5.2. SNAP participation runs 3.9% against 15.2% nationally.

Princeton eviction risk's Eviction Lab logged 88 filings here across 6 tracked years. Housing insecurity runs 6.9% against 14.2% nationally. The worst year on record was 2013, when 19.0% of renter households were served.

In a typical year about 10.8% of renter households face a filing. Nationally it ranks #56,048 of 84,120 for landlord eviction difficulty. At 16% renter-occupied this is predominantly owner territory, and comps have to be drawn from further out.

These are ACS 5-year estimates; the score moves when the ACS, court-record, or statute inputs behind it move.

Frequently asked

About tract 34005700503

Q1

What is the eviction-risk score for census tract 34005700503?

Census tract 34005700503 in the Windrow Clusters neighborhood scores 3.6/10 (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 34005700503?

Median gross rent is $956/month (ACS 5-year 2023, table B25064). 64% of renter households are cost-burdened.
Q3

What is the poverty rate in tract 34005700503?

5.3% of residents in tract 34005700503 live below the federal poverty line (ACS B17001, 2023). Population: 3,393.
Q4

How socially vulnerable is tract 34005700503?

CDC Social Vulnerability Index ranks this tract in the 11th percentile nationally. Sub-themes: socioeconomic 9th, household 50th, minority 44th, housing 9th.
Q5

Is tract 34005700503 considered part of Windrow Clusters?

Yes. Per Census Bureau 2020 Block Assignment Files, the plurality of blocks in tract 34005700503 fall within Windrow Clusters (neighborhood centroid within 1.3 miles, OSM data).
Q6

How many evictions are filed each year in tract 34005700503?

Princeton eviction risk Eviction Lab recorded 88 eviction filings across 6 validated years in tract 34005700503 (2000-2018). The average annual filing rate is 10.84% of renter households, peaking at 19.0% in 2013. Source: Eviction Lab tract-validated 2024 release.
Q7

What share of households in tract 34005700503 struggle to pay rent?

About 6.9% 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. 4.5% also reported utility shutoff threats, a frequent precursor to eviction filings.
Q8

How does tract 34005700503 compare to Moorestown-Lenola overall?

Tract 34005700503 scores 3.6/10, lower than the parent city of Moorestown-Lenola at 4.5/10. City-scale signals (state law, local rent controls, court bias) are inherited from Moorestown-Lenola; what makes this tract different are its tract-specific economic stress and supply-constraint sub-scores.
Sibling tracts

Highest-risk tracts in Moorestown-Lenola

Top eight tracts in Moorestown-Lenola ranked by composite eviction-risk score.

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