Tract 45083021700 ·
Spartanburg County, SC · pop 4,701 · neighborhood within 0.1 mi
Landlord eviction risk in census tract 45083021700 (the Mills Mill area of Saxon, South Carolina) comes in at 7.3/10, the Elevated tier. That is riskier than about 97% of US census tracts.
Rent eats 30% or more of income for 51% of renter households, a severe level, and 26% are severely burdened at 50% or more. The typical renter pays about $976 a month while the average household earns $28,462 a year, roughly 41% of income at the averages. Renters make up 58% of occupied homes, a renter-majority tract.
Risk score
6.6
Elevated
Confidence 100% · 1–10 scale
Household mix · 100 hh
Burdened renters 30%Stable renters 28%Owners 42%
Tract context
Occupied units1,636
Renter share57.6%
SVI overall1.00
Poverty rate45.8%
Median income$28,462
Percentile rank
Higher percentile = riskier than more peers.
Within neighborhood
50th percentile
#1 of 1 tracts In Mills Mill
Moderate
Within parent city
50th percentile
#1 of 1 tracts In Saxon
Moderate
Within county
100th percentile
#1 of 87 tracts In Spartanburg County
Very High
Within state
100th percentile
#6 of 1,317 tracts In South Carolina
Very High
Geographic context
Risk heat across Saxon and the region
Centroid at 34.9611, -81.9693 · click any tract to drill in
Why Mills Mill scores 6.6
9 axes · 1 = landlord-friendly
Local political climate
Inherited from Saxon
4.3
Regional political climate
2024 county presidential margin
3.6
State political climate
South Carolina legislature & governorship
2.1
Economic stress
45.8% poverty · this tract
10.0
Supply constraint
$976 rent vs county FMR
3.1
Rent control risk
Inherited from Saxon
8.8
Eviction process difficulty
State law sets the calendar
1.9
Tenant organizing strength
Inherited from Saxon
9.4
Housing court bias
Inherited from Saxon
9.2
How Mills Mill compares
Risk score vs. parent city, county, state.
CDC Social Vulnerability Index
SVI percentile: 100
CDC/ATSDR 2022. Higher = more vulnerable. National percentile across 84k tracts.
98%Socioeconomic
96%Household composition
82%Racial/ethnic minority
100%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)
225Total filings over 1 yrs
34.19%Avg annual filing rate
34.2%Peak (2010)
225Filings in 2010 (latest validated)
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.
33.0%Housing insecurity
25.0%Utility-shutoff threat
47.7%Food insecurity
40.1%SNAP enrollment
23.7%Transit barriers
25.4%No health insurance
23.6%Frequent mental distress
48.7%Any disability
Analysis
What drives eviction risk in Mills Mill
The score leans hardest on economic stress at $1/10. That part is specific to this tract, computed from its own rent, income, and poverty figures. Statewide and court-level factors such as eviction-process speed and rent-control exposure are inherited from Saxon, while the economic and supply signals are measured at the tract level.
Set against its neighbors, this tract scores well above the Spartanburg 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.
The tract is Black and White and ranks around the 100th percentile nationally on the CDC Social Vulnerability Index, a measure of how exposed residents are to housing and economic shocks. High vulnerability tends to track with higher eviction-filing rates when rents climb.
In CDC survey modeling, about 33.0% of adults here said they could not pay rent or mortgage at some point in the past year, and 25.0% faced a utility shutoff threat, a common early warning before a filing.
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 45083021700
Q1
What is the eviction-risk score for census tract 45083021700?
Census tract 45083021700 in the Mills Mill neighborhood scores 6.6/10 (Elevated 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 45083021700?
Median gross rent is $976/month (ACS 5-year 2023, table B25064). 51% of renter households are cost-burdened.
Q3
What is the poverty rate in tract 45083021700?
45.8% of residents in tract 45083021700 live below the federal poverty line (ACS B17001, 2023). Population: 4,701.
Q4
How socially vulnerable is tract 45083021700?
CDC Social Vulnerability Index ranks this tract in the 100th percentile nationally. Sub-themes: socioeconomic 98th, household 96th, minority 82th, housing 100th.
Q5
Is tract 45083021700 considered part of Mills Mill?
Yes. Per Census Bureau 2020 Block Assignment Files, the plurality of blocks in tract 45083021700 fall within Mills Mill (neighborhood centroid within 0.1 miles, OSM data).
Q6
How many evictions are filed each year in tract 45083021700?
Princeton Eviction Lab recorded 225 eviction filings across 1 validated years in tract 45083021700 (2000-2018). The average annual filing rate is 34.19% of renter households, peaking at 34.2% in 2010. Source: Eviction Lab tract-validated 2024 release.
Q7
What share of households in tract 45083021700 struggle to pay rent?
About 33.0% 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. 25.0% also reported utility shutoff threats, a frequent precursor to eviction filings.
Q8
How does tract 45083021700 compare to Saxon overall?
Tract 45083021700 scores 6.6/10, higher than the parent city of Saxon at 2.9/10. City-scale signals (state law, local rent controls, court bias) are inherited from Saxon; what makes this tract different are its tract-specific economic stress and supply-constraint sub-scores.