Within neighborhood
100
th percentile
Very High
Neighborhood · Ranked #66,742 of 84,120 nationally
Mill Pond Eviction Risk: Lower , Franklin Lakes
Tract 34003061200 · Bergen County, NJ · pop 3,308 · neighborhood within 1.1 mi
The Mill Pond area of Franklin Lakes anchors census tract 34003061200, which lands at 5.9/10 on landlord eviction risk. It lands near the 71st percentile nationally for landlord eviction risk.
About 40% of renters carry a rent burden of 30% of income or higher, a severe level, and 35% are severely burdened at 50% or more. The typical renter pays about $1,786 a month while the average household earns $206,667 a year, roughly 10% of income at the averages. Renters make up 11% of occupied homes.
Risk score
2.5
Lower
Confidence 80% · 1–10 scale
Household mix · 100 hh
Burdened renters 4%
Stable renters 7%
Owners 89%
Tract context
Occupied units1,114
Renter share11.0%
SVI overall0.08
Poverty rate0.3%
Median income$206,667
Percentile rank
Higher percentile = riskier than more peers.Within county
31
th percentile
Low
Within state
27
th percentile
Low
National
21
th percentile
Low
Geographic context
Risk heat across Franklin Lakes and the region
Centroid at 41.0058, -74.1764 · click any tract to drill in
Why Mill Pond scores 2.5
9 axes · 1 = landlord-friendlyLocal political climate
Inherited from Franklin Lakes
6.8
Regional political climate
2024 county presidential margin
5.8
State political climate
New Jersey legislature & governorship
6.8
Economic stress
0.3% poverty · this tract
1.0
Supply constraint
$1,786 rent vs county FMR
3.6
Rent control risk
Inherited from Franklin Lakes
6.8
Eviction process difficulty
State law sets the calendar
5.0
Tenant organizing strength
Inherited from Franklin Lakes
4.0
Housing court bias
Inherited from Franklin Lakes
5.0
How Mill Pond compares
Risk score vs. parent city, county, state.CDC Social Vulnerability Index
SVI percentile: 8
CDC/ATSDR 2022. Higher = more vulnerable. National percentile across 84k tracts.
- 18%Socioeconomic
- 50%Household composition
- 27%Racial/ethnic minority
- 2%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)
- 14Total filings over 4 yrs
- 2.49%Avg annual filing rate
- 4.1%Peak (2018)
- 5Filings in 2018 (latest validated)
Filings climbed 67% over the past 5 months.
Comparable tracts
Census tracts with similar eviction risk
Within Mill Pond. 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.
- 5.9%Housing insecurity
- 3.4%Utility-shutoff threat
- 5.9%Food insecurity
- 3.0%SNAP enrollment
- 3.8%Transit barriers
- 5.5%No health insurance
- 13.1%Frequent mental distress
- 18.7%Any disability
Analysis
What drives eviction risk in Mill Pond
The heaviest input here is rent-control risk at 6.8/10. 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 Franklin Lakes, while the economic and supply signals are measured at the tract level.
Set against its neighbors, this tract scores below the Bergen County average of 6.3 and below the New Jersey statewide average of 6.6. Within its own county it reads on the safer side for landlords.
Princeton eviction risk's Eviction Lab logged 14 eviction filings here over 4 tracked years, with about 2.5% of renter households facing a filing in a typical year. Filings peaked at 4.1% of renter households in 2018.
In CDC survey modeling, about 5.9% of adults here said they could not pay rent or mortgage at some point in the past year, and 3.4% faced a utility shutoff threat, a common early warning before a filing.
For a landlord, conditions here are middle-of-the-road. Standard screening and prompt, documented notices usually keep cases short.
Frequently asked
About tract 34003061200
Q1
What is the eviction-risk score for census tract 34003061200?
Census tract 34003061200 in the Mill Pond 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 34003061200?
Median gross rent is $1,786/month (ACS 5-year 2023, table B25064). 40% of renter households are cost-burdened.
Q3
What is the poverty rate in tract 34003061200?
0.3% of residents in tract 34003061200 live below the federal poverty line (ACS B17001, 2023). Population: 3,308.
Q4
How socially vulnerable is tract 34003061200?
CDC Social Vulnerability Index ranks this tract in the 8th percentile nationally. Sub-themes: socioeconomic 18th, household 50th, minority 27th, housing 2th.
Q5
Is tract 34003061200 considered part of Mill Pond?
Yes. Per Census Bureau 2020 Block Assignment Files, the plurality of blocks in tract 34003061200 fall within Mill Pond (neighborhood centroid within 1.1 miles, OSM data).
Q6
How many evictions are filed each year in tract 34003061200?
Princeton eviction risk Eviction Lab recorded 14 eviction filings across 4 validated years in tract 34003061200 (2000-2018). The average annual filing rate is 2.49% of renter households, peaking at 4.1% in 2018. Source: Eviction Lab tract-validated 2024 release.
Q7
What share of households in tract 34003061200 struggle to pay rent?
About 5.9% 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. 3.4% also reported utility shutoff threats, a frequent precursor to eviction filings.
Q8
How does tract 34003061200 compare to Franklin Lakes overall?
Tract 34003061200 scores 2.5/10, lower than the parent city of Franklin Lakes at 7.3/10. City-scale signals (state law, local rent controls, court bias) are inherited from Franklin Lakes; what makes this tract different are its tract-specific economic stress and supply-constraint sub-scores.
Related