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13403 Andalusia Ln

Sylmar, CA 91342

3 bd 3 ba 1,581 sqft Built 2019 Lot 2,587 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 $289,923 $331,264 $621,187 $7,701
2024 $289,923 $331,264 $621,187 $7,384
2023 $278,666 $318,401 $597,067 $7,239
2022 $273,202 $312,158 $585,360 $6,896
2021 $267,846 $306,038 $573,884 $6,806
2020 $311,558 $121,793 $433,351 $5,341
2019 $172,900 $119,405 $292,305 $3,569

Property facts

Year built
2019
Property type
single_family
Stories
2
Beds
3
Baths
3
Living area
1,581 sqft
Lot size
2,587 sqft
ZIP code
91342
City
Sylmar
Street
Andalusia Ln
Coordinates
34.31486, -118.42244

Comparable properties nearby

Block-level micro-comps

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

Frequently asked questions

When did 13403 Andalusia Ln last sell?
No public-record sale is on file for 13403 Andalusia Ln.
What is the current tax assessment for 13403 Andalusia Ln?
The most recent total assessment for 13403 Andalusia Ln (year 2025) is $621,187 with $7,701 in property tax.
When was 13403 Andalusia Ln built?
13403 Andalusia Ln was built in 2019.
How does 13403 Andalusia Ln compare to others on Andalusia Ln?
We track 2 other properties on Andalusia Ln. Browse the list under "Other properties on Andalusia Ln" to compare beds, baths, and sale history.
What are the property facts for 13403 Andalusia Ln?
13403 Andalusia Ln is a 3 bed, 3 bath, 1,581 sqft, 2,587 sqft lot single_family.
Is 13403 Andalusia Ln a flip candidate?
No — 13403 Andalusia Ln does not appear in our flips dataset.
Is 13403 Andalusia Ln a tax-appeal candidate?
No — 13403 Andalusia 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
+2.3%
Implied 1-yr
+9.3%
2026 Q3
$936.7K
2026 Q4
$955.6K
ZIP 91342 — Median Price History + Forecast

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