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2292 Cherimoya Ln

Saint James City, FL 33956

3 bd 3 ba 1,940 sqft Built 2014 Lot 7,710 sqft single_family
No recorded sales

Location

Timeline: Sale, Listing & Tax History

Recorded events

No recorded events

No sale or listing events are on file for this property.

Tax assessment history

YearBuildingLandTotal assessedTax paid
2023 $10 $249,525 $249,535 $3,097
2020 $307,172 $172,480 $479,652 $7,758
2019 $291,956 $179,630 $471,586 $7,767
2018 $306,931 $167,860 $474,791 $7,951
2017 $360,197 $152,570 $512,767 $8,770
2016 $354,692 $152,570 $507,262 $8,816
2015 $241,078 $151,729 $392,807 $6,255

Property facts

Year built
2014
Property type
single_family
Stories
2
Beds
3
Baths
3
Living area
1,940 sqft
Lot size
7,710 sqft
ZIP code
33956
City
Saint James City
Street
Cherimoya Ln
Coordinates
26.49441, -82.07124

Comparable properties nearby

Block-level micro-comps

Same street, ±3 house numbers, sold in the last 24 months

Frequently asked questions

When did 2292 Cherimoya Ln last sell?
No public-record sale is on file for 2292 Cherimoya Ln.
What is the current tax assessment for 2292 Cherimoya Ln?
The most recent total assessment for 2292 Cherimoya Ln (year 2023) is $249,535 with $3,097 in property tax.
When was 2292 Cherimoya Ln built?
2292 Cherimoya Ln was built in 2014.
How does 2292 Cherimoya Ln compare to others on Cherimoya Ln?
We track 8 other properties on Cherimoya Ln. Browse the list under "Other properties on Cherimoya Ln" to compare beds, baths, and sale history.
What are the property facts for 2292 Cherimoya Ln?
2292 Cherimoya Ln is a 3 bed, 3 bath, 1,940 sqft, 7,710 sqft lot single_family.
Is 2292 Cherimoya Ln a flip candidate?
No — 2292 Cherimoya Ln does not appear in our flips dataset.
Is 2292 Cherimoya Ln a tax-appeal candidate?
No — 2292 Cherimoya Ln is not currently flagged as a tax-appeal candidate.

Forecast for this area

ZIP-area linear projection — not a per-property automated valuation
Quarterly trend
+1.3%
Implied 1-yr
+5.4%
2026 Q3
$352.2K
2026 Q4
$356.5K
ZIP 33956 — Median Price History + Forecast

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