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24 Walter Boulden St

Elkton, MD 21921

4 bd 2 ba 1,500 sqft Built 1955 Lot 8,276 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 $116,300 $60,400 $176,700 $1,251
2022 $116,300 $60,400 $176,700 $1,990
2021 $117,800 $60,400 $178,200 $2,031
2018 $69,600 $79,100 $148,700 $1,715
2015 $69,200 $79,100 $148,300 $1,635
2014 $69,200 $79,100 $148,300 $1,635

Property facts

Year built
1955
Property type
single_family
Stories
1
Beds
4
Baths
2
Living area
1,500 sqft
Lot size
8,276 sqft
ZIP code
21921
City
Elkton
Street
Walter Boulden St
Coordinates
39.59740, -75.82249

Comparable properties nearby

Block-level micro-comps

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

Frequently asked questions

When did 24 Walter Boulden St last sell?
No public-record sale is on file for 24 Walter Boulden St.
What is the current tax assessment for 24 Walter Boulden St?
The most recent total assessment for 24 Walter Boulden St (year 2023) is $176,700 with $1,251 in property tax.
When was 24 Walter Boulden St built?
24 Walter Boulden St was built in 1955.
How does 24 Walter Boulden St compare to others on Walter Boulden St?
We track 8 other properties on Walter Boulden St. Browse the list under "Other properties on Walter Boulden St" to compare beds, baths, and sale history.
What are the property facts for 24 Walter Boulden St?
24 Walter Boulden St is a 4 bed, 2 bath, 1,500 sqft, 8,276 sqft lot single_family.
Is 24 Walter Boulden St a flip candidate?
No — 24 Walter Boulden St does not appear in our flips dataset.
Is 24 Walter Boulden St a tax-appeal candidate?
No — 24 Walter Boulden 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
-8.1%
Implied 1-yr
-32.6%
2026 Q3
$209.3K
2026 Q4
$203.8K
ZIP 21921 — Median Price History + Forecast

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