Indian Square Eviction Risk: High , Jersey City
Tract 34017001701 · Hudson County, NJ · pop 5,674 · neighborhood within 0.6 mi
34017001701 is a census tract in the Indian Square area of Jersey City, NJ. It scores 8.4/10 for landlords. It is home to 5,674 residents. 27% are severely burdened past the 50% mark. That cohort absorbs no shock: one repair bill or one cut shift converts straight into arrears.
Percentile rank
Higher percentile = riskier than more peers.Risk heat across Jersey City and the region
Centroid at 40.7370, -74.0769 · click any tract to drill in
Why Indian Square scores 8.4
9 axes · 1 = landlord-friendlyHow Indian Square compares
Risk score vs. parent city, county, state.SVI percentile: 74
CDC/ATSDR 2022. Higher = more vulnerable. National percentile across 84k tracts.
- 62%Socioeconomic
- 45%Household composition
- 84%Racial/ethnic minority
- 85%Housing & transportation
HOLC grade: D: Hazardous (Redlined)
This tract sits within an area graded by the Home Owners' Loan Corporation in the 1930s. Grade D meant Black, immigrant, and poor neighborhoods systematically denied mortgage credit. 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
- 38%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.
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)
- 693Total filings over 4 yrs
- 16.25%Avg annual filing rate
- 17.1%Peak (2014)
- 141Filings in 2018 (latest validated)
Census tracts with similar eviction risk
Within Indian Square. Closest by Eviction Risk Score.
Eviction-adjacent indicators
Crude prevalence of conditions linked to housing loss. Source: CDC PLACES (cwsq-ngmh), 2023 model-based small-area estimates.
- 13.2%Housing insecurity
- 7.5%Utility-shutoff threat
- 16.9%Food insecurity
- 9.0%SNAP enrollment
- 8.5%Transit barriers
- 10.7%No health insurance
- 14.7%Frequent mental distress
- 21.3%Any disability
What drives eviction risk in Indian Square
The score leans hardest on rent-regulation exposure at 8.5/10. On the high side, court filing pressure reads 8.3/10.
68% of occupied units are rented, so comparables are plentiful and vacancy risk is low, but a mispriced renewal loses the tenant to a building nearby. Sitting well above the midpoint, local political climate reads 8/10. Court records carry 693 eviction filings across 4 observed years.
It sits 0.7 points above the Hudson County average of 7.7. The worst year on record was 2014, when 17.1% of renter households were served. In the 1930s the federal Home Owners' Loan Corporation graded this ground D ("Hazardous"). Redlining cut off mortgage credit to whole blocks for decades, and the areas graded D still carry measurably lower ownership and higher rent burden today.
In a typical year about 16.2% of renter households face a filing. That is riskier than roughly 93% of the 84,120 US census tracts in this model.
Social vulnerability reads 7.7/10 on the CDC index, a measure of exposure to housing and economic shocks.
All figures here are ACS 5-year estimates for this tract, refreshed as the underlying releases land.
About tract 34017001701
What is the eviction-risk score for census tract 34017001701?
What is the average rent in tract 34017001701?
What is the poverty rate in tract 34017001701?
How socially vulnerable is tract 34017001701?
Is tract 34017001701 considered part of Indian Square?
How many evictions are filed each year in tract 34017001701?
What share of households in tract 34017001701 struggle to pay rent?
How does tract 34017001701 compare to Jersey City overall?
Was tract 34017001701 historically redlined?
Highest-risk tracts in Jersey City
Top eight tracts in Jersey City ranked by composite eviction-risk score.