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2557 Giddings Ct

Woodland, CA 95776

4 bd 3 ba 2,767 sqft Built 2018 Lot 7,799 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 $550,998 $100,395 $651,393 $11,082
2024 $550,998 $100,395 $651,393 $10,739
2023 $529,603 $96,498 $626,101 $10,529
2022 $519,219 $94,606 $613,825 $10,199
2021 $509,039 $92,751 $601,790 $10,069
2020 $503,820 $91,800 $595,620 $9,876
2019 $493,942 $90,000 $583,942 $9,695
2018 $56,089 $56,089 $1,622

Property facts

Year built
2018
Property type
single_family
Stories
Beds
4
Baths
3
Living area
2,767 sqft
Lot size
7,799 sqft
ZIP code
95776
City
Woodland
Street
Giddings Ct
Coordinates
38.64148, -121.73569

Comparable properties nearby

Block-level micro-comps

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

Frequently asked questions

When did 2557 Giddings Ct last sell?
No public-record sale is on file for 2557 Giddings Ct.
What is the current tax assessment for 2557 Giddings Ct?
The most recent total assessment for 2557 Giddings Ct (year 2025) is $651,393 with $11,082 in property tax.
When was 2557 Giddings Ct built?
2557 Giddings Ct was built in 2018.
How does 2557 Giddings Ct compare to others on Giddings Ct?
We track 8 other properties on Giddings Ct. Browse the list under "Other properties on Giddings Ct" to compare beds, baths, and sale history.
What are the property facts for 2557 Giddings Ct?
2557 Giddings Ct is a 4 bed, 3 bath, 2,767 sqft, 7,799 sqft lot single_family.
Is 2557 Giddings Ct a flip candidate?
No — 2557 Giddings Ct does not appear in our flips dataset.
Is 2557 Giddings Ct a tax-appeal candidate?
No — 2557 Giddings Ct 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
-5.6%
Implied 1-yr
-22.3%
2026 Q3
$441.5K
2026 Q4
$402.8K
ZIP 95776 — Median Price History + Forecast

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