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1030 Serrill Ave

Lansdowne, PA 19050

4 bd 3 ba 2,002 sqft Built 1930 Lot 2,222 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
2026 $109,880 $32,150 $142,030 $12,139
2025 $109,880 $32,150 $142,030 $6,309
2024 $109,880 $32,150 $142,030 $6,064
2023 $109,880 $32,150 $142,030 $5,508
2022 $109,880 $32,150 $142,030 $5,252
2021 $109,880 $32,150 $142,030 $7,942
2020 $58,270 $18,550 $76,820 $4,797
2019 $58,270 $18,550 $76,820 $4,712

Property facts

Year built
1930
Property type
single_family
Stories
3
Beds
4
Baths
3
Living area
2,002 sqft
Lot size
2,222 sqft
ZIP code
19050
City
Lansdowne
Street
Serrill Ave
Coordinates
39.92673, -75.24897

Comparable properties nearby

Block-level micro-comps

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

Frequently asked questions

When did 1030 Serrill Ave last sell?
No public-record sale is on file for 1030 Serrill Ave.
What is the current tax assessment for 1030 Serrill Ave?
The most recent total assessment for 1030 Serrill Ave (year 2026) is $142,030 with $12,139 in property tax.
When was 1030 Serrill Ave built?
1030 Serrill Ave was built in 1930.
How does 1030 Serrill Ave compare to others on Serrill Ave?
We track 8 other properties on Serrill Ave. Browse the list under "Other properties on Serrill Ave" to compare beds, baths, and sale history.
What are the property facts for 1030 Serrill Ave?
1030 Serrill Ave is a 4 bed, 3 bath, 2,002 sqft, 2,222 sqft lot single_family.
Is 1030 Serrill Ave a flip candidate?
No — 1030 Serrill Ave does not appear in our flips dataset.
Is 1030 Serrill Ave a tax-appeal candidate?
No — 1030 Serrill Ave 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
+1.4%
Implied 1-yr
+5.5%
2026 Q3
$271.6K
2026 Q4
$275K
ZIP 19050 — Median Price History + Forecast

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