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Neighborhood · Ranked #59,654 of 84,120 nationally

Windrow Clusters Eviction Risk: Lower , Moorestown-Lenola

Tract 34005700504 · Burlington County, NJ · pop 3,459 · neighborhood within 0.7 mi

With a score of 3.4/10, tract 34005700504 in the Windrow Clusters area of Moorestown-Lenola, NJ reads lower for landlord eviction risk. It is home to 3,459 residents. about a quarter of renter households cross the 30%-of-income line, far below the Burlington County average of 46.0%.

Risk score
3.4
Lower
Confidence 100% · 1–10 scale
Household mix · 100 hh
Burdened renters 3% Stable renters 10% Owners 87%
Tract context
Occupied units1,201
Renter share13.1%
SVI overall0.17
Poverty rate0.7%
Median income$166,797

Percentile rank

Higher percentile = riskier than more peers.
Within neighborhood
0 th percentile
Rank, 0th percentileLowHigh
#2 of 2 tracts In Windrow Clusters
Very Low
Within parent city
0 th percentile
Rank, 0th percentileLowHigh
#4 of 4 tracts In Moorestown-Lenola
Very Low
Within county
2 th percentile
Rank, 2nd percentileLowHigh
#115 of 117 tracts In Burlington County
Very Low
Within state
8 th percentile
Rank, 8th percentileLowHigh
#2,000 of 2,175 tracts In New Jersey
Very Low
Geographic context

Risk heat across Moorestown-Lenola and the region

Centroid at 39.9664, -74.9283 · click any tract to drill in

Why Windrow Clusters scores 3.4

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
0.7% poverty · this tract
1.0
Supply constraint
$1,150 rent vs county FMR
1.4
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 / state3.4This tracttract 7005044.5Moorestown-Lenolaparent city5.2Countyavg tract in county6.0Stateavg 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)

  • 125Total filings over 6 yrs
  • 8.43%Avg annual filing rate
  • 11.6%Peak (2013)
  • 11Filings in 2018 (latest validated)
Filings by year 2013 to 2018
Year-by-year eviction filings in tract 34005700504
Filings dropped 61% 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

The score leans hardest on court filing pressure at 9.3/10. On the softer side, economic stress reads 1/10.

At $1,150 a month, rents run 30% under what the rest of Moorestown-Lenola commands. It sits 1.8 points below the Burlington County average of 5.2.

20% are severely burdened past the 50% mark. That cohort absorbs no shock: one repair bill or one cut shift converts straight into arrears. Well under the midpoint, supply constraint reads 1.4/10. Food insecurity runs 5.7% against 17.8% nationally.

Princeton eviction risk's Eviction Lab logged 125 filings here across 6 tracked years. Housing insecurity runs 5.8% against 14.2% nationally.

Filings peaked in 2013 at 11.6% of renter households. In a typical year about 8.4% of renter households face a filing. Nationally it ranks #59,654 of 84,120 for landlord eviction difficulty.

Tract-level figures come from the ACS 5-year release and are rebuilt whenever that, the court-record feed, or the statutory ledger behind the score changes.

Frequently asked

About tract 34005700504

Q1

What is the eviction-risk score for census tract 34005700504?

Census tract 34005700504 in the Windrow Clusters neighborhood scores 3.4/10 (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 34005700504?

Median gross rent is $1,150/month (ACS 5-year 2023, table B25064). 24% of renter households are cost-burdened.
Q3

What is the poverty rate in tract 34005700504?

0.7% of residents in tract 34005700504 live below the federal poverty line (ACS B17001, 2023). Population: 3,459.
Q4

How socially vulnerable is tract 34005700504?

CDC Social Vulnerability Index ranks this tract in the 17th percentile nationally. Sub-themes: socioeconomic 8th, household 24th, minority 17th, housing 52th.
Q5

Is tract 34005700504 considered part of Windrow Clusters?

Yes. Per Census Bureau 2020 Block Assignment Files, the plurality of blocks in tract 34005700504 fall within Windrow Clusters (neighborhood centroid within 0.7 miles, OSM data).
Q6

How many evictions are filed each year in tract 34005700504?

Princeton eviction risk Eviction Lab recorded 125 eviction filings across 6 validated years in tract 34005700504 (2000-2018). The average annual filing rate is 8.43% of renter households, peaking at 11.6% in 2013. Source: Eviction Lab tract-validated 2024 release.
Q7

What share of households in tract 34005700504 struggle to pay rent?

About 5.8% 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. 3.6% also reported utility shutoff threats, a frequent precursor to eviction filings.
Q8

How does tract 34005700504 compare to Moorestown-Lenola overall?

Tract 34005700504 scores 3.4/10, 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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