Tract 12099005921 ·
Palm Beach, FL · pop 7,914 · neighborhood within 0.4 mi
Census tract 12099005921 covers Rainbow Lakes in Boynton Beach, home to 7,914 residents. For landlords it grades 4.8/10, a moderate reading. That is riskier than roughly 33% of the 84,120 US census tracts we score.
63% of renter households here spend at least 30% of income on rent, a severe level, and 32% are severely burdened at 50% or more. Average gross rent is $2,292 monthly, set against $99,141 in average yearly household income, roughly 28% of income at the averages. About 13% of occupied units are renter-occupied.
Risk score
2.6
Lower
Confidence 80% · 1–10 scale
Household mix · 100 hh
Burdened renters 8%Stable renters 5%Owners 87%
Tract context
Occupied units2,926
Renter share12.6%
SVI overall0.37
Poverty rate8.9%
Median income$99,141
Percentile rank
Higher percentile = riskier than more peers.
Within neighborhood
50th percentile
#3 of 5 tracts In Rainbow Lakes
Moderate
Within county
42th percentile
#217 of 372 tracts In Palm Beach
Moderate
Within state
28th percentile
#3,685 of 5,122 tracts In Florida
Low
National
23th percentile
#65,113 of 84,120 tracts In U.S.
Low
Geographic context
Risk heat across Boynton Beach and the region
Centroid at 26.5467, -80.1417 · click any tract to drill in
Why Rainbow Lakes scores 2.6
9 axes · 1 = landlord-friendly
Local political climate
Inherited from Boynton Beach
1.5
Regional political climate
2024 county presidential margin
5.6
State political climate
Florida legislature & governorship
1.5
Economic stress
8.9% poverty · this tract
2.2
Supply constraint
$2,292 rent vs county FMR
5.5
Rent control risk
Inherited from Boynton Beach
1.5
Eviction process difficulty
State law sets the calendar
5.0
Tenant organizing strength
Inherited from Boynton Beach
4.0
Housing court bias
Inherited from Boynton Beach
5.0
How Rainbow Lakes compares
Risk score vs. parent city, county, state.
CDC Social Vulnerability Index
SVI percentile: 37
CDC/ATSDR 2022. Higher = more vulnerable. National percentile across 84k tracts.
33%Socioeconomic
61%Household composition
63%Racial/ethnic minority
24%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)
71Total filings over 11 yrs
2.96%Avg annual filing rate
5.8%Peak (2000)
5Filings in 2015 (latest validated)
Filings by year2000 to 2015
Filings dropped 50% over the past 11 months.
Pandemic-era tracking (2020–2021)
34Total filings 2020-21
0.5Avg monthly (observed)
0.8Pre-pandemic baseline
0.61×Ratio to baseline
Monthly filings 2020–20212020-01-01 to 2026-01-01
Pandemic filings ran far below baseline (moratorium effect). Eviction Lab tracked Other Oregon Counties as part of its 34-metro Eviction Tracking System.
Comparable tracts
Census tracts with similar eviction risk
Within Rainbow Lakes. Closest by Eviction Risk Score.
The heaviest input here is supply constraint at 5.5/10. 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 Boynton Beach eviction risk, while the economic and supply signals are measured at the tract level.
Set against its neighbors, this tract scores about the same as the Palm Beach County average of 5.0 and in line with the Florida statewide average of 4.9. Within its own county it reads on the safer side for landlords.
Princeton's Eviction Lab logged 71 eviction filings here over 11 tracked years, with about 3.0% of renter households facing a filing in a typical year. Filings peaked at 5.8% of renter households in 2000.
During 2020 and 2021, eviction filings here ran at about 0.61x the pre-COVID monthly baseline, well below the pre-pandemic norm, the signature of an eviction moratorium at work.
For a landlord, conditions here are middle-of-the-road. Standard screening and prompt, documented notices usually keep cases short.
Frequently asked
About tract 12099005921
Q1
What is the eviction-risk score for census tract 12099005921?
Census tract 12099005921 in the Rainbow Lakes neighborhood scores 2.6/10 (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 12099005921?
Median gross rent is $2,292/month (ACS 5-year 2023, table B25064). 63% of renter households are cost-burdened.
Q3
What is the poverty rate in tract 12099005921?
8.9% of residents in tract 12099005921 live below the federal poverty line (ACS B17001, 2023). Population: 7,914.
Q4
How socially vulnerable is tract 12099005921?
CDC Social Vulnerability Index ranks this tract in the 37th percentile nationally. Sub-themes: socioeconomic 33th, household 61th, minority 63th, housing 24th.
Q5
Is tract 12099005921 considered part of Rainbow Lakes?
Yes. Per Census Bureau 2020 Block Assignment Files, the plurality of blocks in tract 12099005921 fall within Rainbow Lakes (neighborhood centroid within 0.4 miles, OSM data).
Q6
How many evictions are filed each year in tract 12099005921?
Princeton Eviction Lab recorded 71 eviction filings across 11 validated years in tract 12099005921 (2000-2018). The average annual filing rate is 2.96% of renter households, peaking at 5.8% in 2000. Source: Eviction Lab tract-validated 2024 release.
Q7
Did eviction filings in tract 12099005921 drop during COVID?
Pandemic-era filings ran 0.61× the pre-COVID monthly baseline. Filings dropped sharply, likely a moratorium effect. Tracked by the Eviction Lab Eviction Tracking System (Other Oregon eviction laws Counties), 2020-2021.
Q8
How does tract 12099005921 compare to Boynton Beach overall?
Tract 12099005921 scores 2.6/10, right in line with the parent city of Boynton Beach at 2.6/10. City-scale signals (state law, local rent controls, court bias) are inherited from Boynton Beach eviction risk; what makes this tract different are its tract-specific economic stress and supply-constraint sub-scores.