10970 Property Tax Rate

Pomona, New York · Part of Rockland County

ACS 2019-2023 · Updated Dec 2024

Effective Tax Rate

2.60%

79.5% above state avg

Median Annual Tax

$9,427

$786/mo escrow

Estimate Your Tax

$
$50K$2M

Annual Tax

$9,427

Monthly

$786

Eff. Rate

2.60%

vs. New York Avg79.5% above
vs. National Avg250.4% above

How ZIP 10970 Compares

Median Annual Property Tax

ZIP 10970$9,427
New York Average$5,252
National Average$2,690

ZIP 10970

2.60%

Effective rate

New York Avg

1.85%

Effective rate

National Avg

1.10%

Effective rate

State Ranking

Property Tax Rank in New York

0.32%state avg 1.85%7.99%

Higher than 86% of ZIP codes in New York(86th percentile, 1,598 ZIPs compared)

Property Tax Analysis

Property Tax Insights for ZIP 10970

Property owners in ZIP code 10970 (Pomona, New York) pay a median of $9,427/year in property taxes on homes valued at $362,800. This translates to an effective tax rate of 2.60%, which is 41% above the New York state average of 1.85%.

The monthly property tax burden for a median-valued home in 10970 is approximately $786, which factors into escrow payments on mortgages. This ZIP code is located within Rockland County. This is $4,175 more than the New York average of $5,252/year.

Compared to similar ZIP codes in New York, 10970 has lower property taxes. ZIP codes with similar effective rates include 12078 (2.60%) and 13440 (2.60%).

In Pomona, property taxes represent approximately 8.0% of the median household income of $118,445, providing context for the relative tax burden on homeowners in this area.

New York has no statewide property tax cap; your assessment reflects local tax rates and market values with no annual ceiling. Rockland County offers the STAR program for primary residences with household income ≤$500,000, reducing school taxes by exempting a set dollar amount from your assessed value — apply through your local school district or Rockland County Assessor. After purchase, file your STAR application within 30 days at the Rockland County Assessor's office (845-807-5000) to ensure the exemption takes effect on your next tax bill.

Frequently Asked Questions

What is the property tax rate in ZIP code 10970?
The effective property tax rate in ZIP code 10970 (Pomona, NY) is 2.60%. 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 Pomona, NY (10970)?
The median annual property tax payment in ZIP code 10970 is $9,427. 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 10970 compare to the New York average?
ZIP code 10970's effective tax rate of 2.60% is higher than the New York state average of 1.85%. The median annual property tax in this ZIP is $9,427, compared to the state average of $5,252.
What is the median home value in ZIP 10970?
The median home value in ZIP code 10970 (Pomona, NY) is $362,800, according to U.S. Census Bureau American Community Survey 2019-2023 5-Year Estimates at the ZCTA level.
What county is ZIP code 10970 in?
ZIP code 10970 is part of Rockland County in New York. For broader county-level property tax data, including comparisons with other counties in New York, visit the Rockland County profile on TaxByCounty.

Margin of Error

The median property tax estimate for this ZIP code has a margin of error of ±$1,098. ZCTA-level data has wider margins than county-level estimates due to smaller sample sizes.

County-Level Data

ZIP code 10970 is part of Rockland County, New York. View the full county profile for broader context and more data.

View Rockland 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 →