95970 Property Tax Rate

Princeton, California · Part of Colusa County

ACS 2019-2023 · Updated Dec 2024

Effective Tax Rate

0.52%

53.6% below state avg

Median Annual Tax

$2,273

$189/mo escrow

Estimate Your Tax

$
$50K$2M

Annual Tax

$2,273

Monthly

$189

Eff. Rate

0.52%

vs. California Avg53.6% below
vs. National Avg15.5% below

How ZIP 95970 Compares

Median Annual Property Tax

ZIP 95970$2,273
California Average$4,900
National Average$2,690

ZIP 95970

0.52%

Effective rate

California Avg

0.69%

Effective rate

National Avg

1.10%

Effective rate

State Ranking

Property Tax Rank in California

0.11%state avg 0.69%3.84%

Lower than 89% of ZIP codes in California(11th percentile, 1,562 ZIPs compared)

Property Tax Analysis

Property Tax Insights for ZIP 95970

Property owners in ZIP code 95970 (Princeton, California) pay a median of $2,273/year in property taxes on homes valued at $435,000. This translates to an effective tax rate of 0.52%, which is 25% below the California state average of 0.69%.

The monthly property tax burden for a median-valued home in 95970 is approximately $189, which factors into escrow payments on mortgages. This ZIP code is located within Colusa County. This is $2,627 less than the California average of $4,900/year.

Compared to similar ZIP codes in California, 95970 has higher property taxes. ZIP codes with similar effective rates include 90401 (0.52%) and 92114 (0.52%).

In Princeton, property taxes represent approximately 2.7% of the median household income of $82,692, providing context for the relative tax burden on homeowners in this area.

Under California's Proposition 13, your property will be reassessed to your purchase price at closing, with taxes capped at 1% of that new base value and limited to 2% annual increases thereafter. Colusa County offers a Homeowners' Exemption that reduces your assessed value by a set amount — file with the Colusa County Assessor's office within 30 days of closing to claim it. Contact the Colusa County Assessor to confirm the current exemption amount and request verification of your base year value.

Frequently Asked Questions

What is the property tax rate in ZIP code 95970?
The effective property tax rate in ZIP code 95970 (Princeton, CA) is 0.52%. This rate is calculated by dividing the median annual property tax payment by the median home value within this ZIP Code Tabulation Area (ZCTA), based on U.S. Census Bureau data.
How much are property taxes in Princeton, CA (95970)?
The median annual property tax payment in ZIP code 95970 is $2,273. This figure represents the typical amount paid by homeowners in this area. Actual taxes vary based on your assessed property value and any applicable exemptions.
How does ZIP 95970 compare to the California average?
ZIP code 95970's effective tax rate of 0.52% is lower than the California state average of 0.69%. The median annual property tax in this ZIP is $2,273, compared to the state average of $4,900.
What is the median home value in ZIP 95970?
The median home value in ZIP code 95970 (Princeton, CA) is $435,000, according to U.S. Census Bureau American Community Survey 2019-2023 5-Year Estimates at the ZCTA level.
What county is ZIP code 95970 in?
ZIP code 95970 is part of Colusa County in California. For broader county-level property tax data, including comparisons with other counties in California, visit the Colusa County profile on TaxByCounty.

Margin of Error

The median property tax estimate for this ZIP code has a margin of error of ±$523. ZCTA-level data has wider margins than county-level estimates due to smaller sample sizes.

County-Level Data

ZIP code 95970 is part of Colusa County, California. View the full county profile for broader context and more data.

View Colusa County on TaxByCounty →

Data from U.S. Census Bureau, American Community Survey 2019-2023 5-Year Estimates (ZCTA level). ZIP Code Tabulation Areas (ZCTAs) are Census approximations of USPS ZIP codes.

Estimates are informational only and should not be used as financial or legal advice.

Learn about our data sources and methodology →