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2523 Lodi St

Syracuse, NY 13208

3 bd 2 ba 1,468 sqft Built 1850 Lot 5,717 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
2025 $37,800 $8,200 $46,000 $950
2024 $37,800 $8,200 $46,000 $865
2023 $29,200 $8,200 $37,400 $887
2022 $29,200 $8,200 $37,400 $885
2021 $29,200 $8,200 $37,400 $223
2020 $29,200 $8,200 $37,400 $911
2017 $29,200 $8,200 $37,400 $74
2016 $29,200 $8,200 $37,400 $648
2015 $29,200 $8,200 $37,400 $643
2014 $29,200 $8,200 $37,400 $645
2013 $29,200 $8,200 $37,400 $766
2011 $29,200 $8,200 $37,400 $572
2010 $29,200 $8,200 $37,400 $576
2009 $29,200 $8,200 $37,400 $642

Property facts

Year built
1850
Property type
single_family
Stories
2
Beds
3
Baths
2
Living area
1,468 sqft
Lot size
5,717 sqft
ZIP code
13208
City
Syracuse
Street
Lodi St
Coordinates
43.06712, -76.16297

Comparable properties nearby

Frequently asked questions

When did 2523 Lodi St last sell?
No public-record sale is on file for 2523 Lodi St.
What is the current tax assessment for 2523 Lodi St?
The most recent total assessment for 2523 Lodi St (year 2025) is $46,000 with $950 in property tax.
When was 2523 Lodi St built?
2523 Lodi St was built in 1850.
How does 2523 Lodi St compare to others on Lodi St?
We track 8 other properties on Lodi St. Browse the list under "Other properties on Lodi St" to compare beds, baths, and sale history.
What are the property facts for 2523 Lodi St?
2523 Lodi St is a 3 bed, 2 bath, 1,468 sqft, 5,717 sqft lot single_family.
Is 2523 Lodi St a flip candidate?
No — 2523 Lodi St does not appear in our flips dataset.
Is 2523 Lodi St a tax-appeal candidate?
No — 2523 Lodi St 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
-1.1%
Implied 1-yr
-4.3%
2026 Q3
$163.8K
2026 Q4
$161.9K
ZIP 13208 — Median Price History + Forecast

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