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24 52nd St

Bayonne, NJ 07002

ba 1,360 sqft Built 1930 Lot 6,199 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
2020 $163,500 $237,000 $400,500 $10,277
2019 $34,300 $115,000 $149,300 $12,885
2018 $34,300 $115,000 $149,300 $12,628
2017 $34,300 $115,000 $149,300 $12,301
2016 $34,300 $115,000 $149,300 $11,847
2015 $34,300 $115,000 $149,300 $11,457
2014 $34,300 $115,000 $149,300 $11,115
2013 $46,800 $115,000 $161,800 $11,875
2012 $46,800 $115,000 $161,800 $11,510
2011 $46,800 $115,000 $161,800 $11,082
2010 $46,800 $115,000 $161,800 $10,174
2009 $46,800 $115,000 $161,800 $10,174
2008 $46,800 $115,000 $161,800 $9,792

Property facts

Year built
1930
Property type
single_family
Stories
1
Beds
Baths
Living area
1,360 sqft
Lot size
6,199 sqft
ZIP code
07002
City
Bayonne
Street
52nd St
Coordinates
40.68428, -74.10244

Comparable properties nearby

Frequently asked questions

When did 24 52nd St last sell?
No public-record sale is on file for 24 52nd St.
What is the current tax assessment for 24 52nd St?
The most recent total assessment for 24 52nd St (year 2020) is $400,500 with $10,277 in property tax.
When was 24 52nd St built?
24 52nd St was built in 1930.
How does 24 52nd St compare to others on 52nd St?
We track 8 other properties on 52nd St. Browse the list under "Other properties on 52nd St" to compare beds, baths, and sale history.
What are the property facts for 24 52nd St?
24 52nd St is a — bath, 1,360 sqft, 6,199 sqft lot single_family.
Is 24 52nd St a flip candidate?
No — 24 52nd St does not appear in our flips dataset.
Is 24 52nd St a tax-appeal candidate?
No — 24 52nd 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
-0.2%
Implied 1-yr
-0.8%
2026 Q3
$565K
2026 Q4
$563.9K
ZIP 07002 — Median Price History + Forecast

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