Germantown, MD Property Tax Rates

Compare property tax rates across 2 ZIP codes in Germantown, Maryland.

ACS 2019-2023 · Updated Dec 2024

Avg Tax Rate

0.82%

Avg Annual Tax

$3,454

Avg Home Value

$420,900

ZIP Codes

2

Property Tax Overview: Germantown, MD

Germantown has 2 ZIP codes with property tax data. The average effective tax rate across these ZIPs is 0.82%, which is 15% below the Maryland average of 0.96%. Annual property taxes range from $3,633 (ZIP 20876) to $3,275 (ZIP 20874).

For a home at Germantown's median value of $420,900, property taxes add approximately $289/month to housing costs. Germantown home values are close to the Maryland median of $428,085.

Property tax rates within Germantown vary by 0.05 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 Germantown, MD

ZIP CodeEffective RateMedian TaxMedian Home Value
208760.80%$3,633$456,500
208740.85%$3,275$385,300

Germantown vs Maryland Average

Effective Tax Rate

Germantown0.82%
Maryland Avg0.96%

15% below state average

Annual Property Tax

Germantown$3,454
Maryland Avg$3,974

Median Home Value

Germantown$420,900
Maryland Avg$428,085

Frequently Asked Questions

What is the average property tax rate in Germantown, MD?

The average effective property tax rate in Germantown, Maryland is 0.82%, based on 2 ZIP codes.

How much is property tax in Germantown, MD?

The average median annual property tax in Germantown is $3,454 per year, with a median home value of $420,900.

Which ZIP code in Germantown has the lowest property tax rate?

ZIP code 20876 has the lowest effective tax rate in Germantown at 0.80%, with a median annual tax of $3,633.

How many ZIP codes are in Germantown, MD?

Germantown, Maryland has 2 ZIP codes with property tax data available.

Which ZIP code in Germantown has the highest property tax rate?

ZIP code 20874 has the highest effective tax rate in Germantown at 0.85%, with a median annual tax of $3,275.

How do Germantown property taxes compare to the Maryland average?

Germantown's average effective rate of 0.82% is 15% below the Maryland state average of 0.96%.

What factors affect property tax rates between ZIP codes in Germantown?

Property tax rate differences within Germantown 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 Germantown 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: Maryland 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 Germantown, 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 Montgomery 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 →