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16111 Columbus Ln

North Hills, CA 91343

3 bd 3 ba 2,981 sqft Built 2017 Lot 5,428 sqft other
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 $398,991 $467,202 $866,193 $10,714
2024 $398,991 $467,202 $866,193 $10,479
2023 $383,499 $449,061 $832,560 $10,274
2022 $375,980 $440,256 $816,236 $9,790
2021 $368,608 $431,624 $800,232 $9,654
2020 $364,829 $427,199 $792,028 $9,747
2019 $357,676 $418,823 $776,499 $9,360
2018 $230,856 $230,856 $3,102

Property facts

Year built
2017
Property type
other
Stories
Beds
3
Baths
3
Living area
2,981 sqft
Lot size
5,428 sqft
ZIP code
91343
City
North Hills
Street
Columbus Ln
Coordinates
34.22351, -118.48392

Comparable properties nearby

Block-level micro-comps

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

Frequently asked questions

When did 16111 Columbus Ln last sell?
No public-record sale is on file for 16111 Columbus Ln.
What is the current tax assessment for 16111 Columbus Ln?
The most recent total assessment for 16111 Columbus Ln (year 2025) is $866,193 with $10,714 in property tax.
When was 16111 Columbus Ln built?
16111 Columbus Ln was built in 2017.
How does 16111 Columbus Ln compare to others on Columbus Ln?
We track 8 other properties on Columbus Ln. Browse the list under "Other properties on Columbus Ln" to compare beds, baths, and sale history.
What are the property facts for 16111 Columbus Ln?
16111 Columbus Ln is a 3 bed, 3 bath, 2,981 sqft, 5,428 sqft lot other.
Is 16111 Columbus Ln a flip candidate?
No — 16111 Columbus Ln does not appear in our flips dataset.
Is 16111 Columbus Ln a tax-appeal candidate?
No — 16111 Columbus 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
+12.2%
Implied 1-yr
+49.0%
2026 Q3
$2.33M
2026 Q4
$2.49M
ZIP 91343 — Median Price History + Forecast

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