Dade City, FL Property Tax Rates

Compare property tax rates across 2 ZIP codes in Dade City, Florida.

ACS 2019-2023 · Updated Dec 2024

Avg Tax Rate

0.71%

Avg Annual Tax

$1,627

Avg Home Value

$230,200

ZIP Codes

2

Property Tax Overview: Dade City, FL

Dade City has 2 ZIP codes with property tax data. The average effective tax rate across these ZIPs is 0.71%, which is 8% below the Florida average of 0.76%. Annual property taxes range from $1,407 (ZIP 33523) to $1,846 (ZIP 33525).

For a home at Dade City's median value of $230,200, property taxes add approximately $136/month to housing costs. Dade City home values are below the Florida median of $339,091, which moderates the overall monthly tax burden.

Property tax rates within Dade City vary by 0.20 percentage points across its ZIP codes. This variation typically reflects different school district boundaries, special assessment zones, and municipal service areas within the city.

ZIP Codes in Dade City, FL

ZIP CodeEffective RateMedian TaxMedian Home Value
335230.61%$1,407$231,700
335250.81%$1,846$228,700

Dade City vs Florida Average

Effective Tax Rate

Dade City0.71%
Florida Avg0.76%

8% below state average

Annual Property Tax

Dade City$1,627
Florida Avg$2,645

Median Home Value

Dade City$230,200
Florida Avg$339,091

Frequently Asked Questions

What is the average property tax rate in Dade City, FL?

The average effective property tax rate in Dade City, Florida is 0.71%, based on 2 ZIP codes.

How much is property tax in Dade City, FL?

The average median annual property tax in Dade City is $1,627 per year, with a median home value of $230,200.

Which ZIP code in Dade City has the lowest property tax rate?

ZIP code 33523 has the lowest effective tax rate in Dade City at 0.61%, with a median annual tax of $1,407.

How many ZIP codes are in Dade City, FL?

Dade City, Florida has 2 ZIP codes with property tax data available.

Which ZIP code in Dade City has the highest property tax rate?

ZIP code 33525 has the highest effective tax rate in Dade City at 0.81%, with a median annual tax of $1,846.

How do Dade City property taxes compare to the Florida average?

Dade City's average effective rate of 0.71% is 8% below the Florida state average of 0.76%.

What factors affect property tax rates between ZIP codes in Dade City?

Property tax rate differences within Dade City are typically driven by school district boundaries (which can account for 40–60% of a tax bill), special assessment zones for fire, water, or transit services, and whether a ZIP falls within city limits or an unincorporated area. Each taxing jurisdiction sets its own rate, which is why adjacent ZIP codes can have noticeably different effective rates.

Tips for Dade City Homeowners

  • Appeal your assessment: If your home is assessed higher than its market value, you can file a property tax appeal. Studies suggest 30–60% of properties are over-assessed. Most counties offer a free informal review process.
  • Check your exemptions: Homestead exemptions can reduce your taxable value and are available to primary residents in most states. Senior, veteran, and disability exemptions may also apply. Exemptions must typically be applied for — they are not automatic.
  • Know your assessment cycle: Florida reassesses properties periodically. After buying a home, your next tax bill may reflect a new assessment based on your purchase price. Budget accordingly, especially if you bought above prior assessed values.
  • Compare ZIP codes before buying: Even within Dade City, effective tax rates can vary significantly across ZIP codes due to different school district overlays. Use PropertyTaxByZip to compare specific ZIPs before choosing a neighborhood.

Looking for county-level property tax data? View Pasco County on TaxByCounty.com

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 →