Within neighborhood
50
th percentile
Moderate
Neighborhood · Ranked #31,159 of 84,120 nationally
Laurel Bay Eviction Risk: Moderate
Tract 45013000300 · Beaufort County, SC · pop 3,794 · neighborhood within 1.2 mi
Census tract 45013000300 covers the Laurel Bay neighborhood of Laurel Bay, home to 3,794 residents. For landlords it grades $1/10, an elevated reading. On the national scale it ranks #22,082 of 84,120 for landlord eviction difficulty.
Rent eats 30% or more of income for 42% of renter households, a severe level, and 13% are severely burdened at 50% or more. Average rent runs $1,450 a month against an average household income of $59,357 a year, roughly 29% of income at the averages. Renters make up 76% of occupied homes, a renter-majority tract.
Risk score
4.6
Moderate
Confidence 100% · 1–10 scale
Household mix · 100 hh
Burdened renters 32%
Stable renters 44%
Owners 24%
Tract context
Occupied units1,485
Renter share75.7%
SVI overall0.28
Poverty rate11.0%
Median income$59,357
Percentile rank
Higher percentile = riskier than more peers.Within parent city
50
th percentile
Moderate
Within county
85
th percentile
High
Within state
67
th percentile
Elevated
Geographic context
Risk heat across Laurel Bay and the region
Centroid at 32.4677, -80.7841 · click any tract to drill in
Why Laurel Bay scores 4.6
9 axes · 1 = landlord-friendlyLocal political climate
Inherited from Laurel Bay
5.1
Regional political climate
2024 county presidential margin
4.5
State political climate
South Carolina legislature & governorship
2.1
Economic stress
11.0% poverty · this tract
2.7
Supply constraint
$1,450 rent vs county FMR
3.0
Rent control risk
Inherited from Laurel Bay
8.9
Eviction process difficulty
State law sets the calendar
1.7
Tenant organizing strength
Inherited from Laurel Bay
9.8
Housing court bias
Inherited from Laurel Bay
8.2
How Laurel Bay compares
Risk score vs. parent city, county, state.CDC Social Vulnerability Index
SVI percentile: 28
CDC/ATSDR 2022. Higher = more vulnerable. National percentile across 84k tracts.
- 41%Socioeconomic
- 35%Household composition
- 48%Racial/ethnic minority
- 15%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)
- 48Total filings over 5 yrs
- 0.76%Avg annual filing rate
- 1.2%Peak (2014)
- 15Filings in 2014 (latest validated)
Filings climbed 200% over the past 5 months.
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.
- 15.2%Housing insecurity
- 9.1%Utility-shutoff threat
- 19.6%Food insecurity
- 10.0%SNAP enrollment
- 10.6%Transit barriers
- 14.9%No health insurance
- 20.5%Frequent mental distress
- 25.6%Any disability
Analysis
What drives eviction risk in Laurel Bay
What moves this score most is tenant organizing strength at 9.8/10. 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 Laurel Bay, while the economic and supply signals are measured at the tract level.
Set against its neighbors, this tract scores above the Beaufort County average of 5.5 and above the South Carolina statewide average of 5.5. Within its own county it reads on the riskier side for landlords.
In CDC survey modeling, about 15.2% of adults here said they could not pay rent or mortgage at some point in the past year, and 9.1% faced a utility shutoff threat, a common early warning before a filing.
Princeton's Eviction Lab logged 48 eviction filings here over 5 tracked years, with about 0.8% of renter households facing a filing in a typical year. Filings peaked at 1.2% of renter households in 2014.
For a landlord, this is a tract where process discipline pays off. Clean paperwork and steady screening keep the elevated risk manageable.
Frequently asked
About tract 45013000300
Q1
What is the eviction-risk score for census tract 45013000300?
Census tract 45013000300 in the Laurel Bay neighborhood scores 4.6/10 (Moderate 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 45013000300?
Median gross rent is $1,450/month (ACS 5-year 2023, table B25064). 42% of renter households are cost-burdened.
Q3
What is the poverty rate in tract 45013000300?
11.0% of residents in tract 45013000300 live below the federal poverty line (ACS B17001, 2023). Population: 3,794.
Q4
How socially vulnerable is tract 45013000300?
CDC Social Vulnerability Index ranks this tract in the 28th percentile nationally. Sub-themes: socioeconomic 41th, household 35th, minority 48th, housing 15th.
Q5
Is tract 45013000300 considered part of Laurel Bay?
Yes. Per Census Bureau 2020 Block Assignment Files, the plurality of blocks in tract 45013000300 fall within Laurel Bay (neighborhood centroid within 1.2 miles, OSM data).
Q6
How many evictions are filed each year in tract 45013000300?
Princeton Eviction Lab recorded 48 eviction filings across 5 validated years in tract 45013000300 (2000-2018). The average annual filing rate is 0.76% of renter households, peaking at 1.2% in 2014. Source: Eviction Lab tract-validated 2024 release.
Q7
What share of households in tract 45013000300 struggle to pay rent?
About 15.2% 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. 9.1% also reported utility shutoff threats, a frequent precursor to eviction filings.
Q8
How does tract 45013000300 compare to Laurel Bay overall?
Tract 45013000300 scores 4.6/10, higher than the parent city of Laurel Bay at 2.2/10. City-scale signals (state law, local rent controls, court bias) are inherited from Laurel Bay; what makes this tract different are its tract-specific economic stress and supply-constraint sub-scores.
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