57383 Property Tax Rate

White Lake, South Dakota · Part of Aurora County

ACS 2019-2023 · Updated Dec 2024

Effective Tax Rate

1.32%

21% below state avg

Median Annual Tax

$1,391

$116/mo escrow

Estimate Your Tax

$
$50K$2M

Annual Tax

$1,391

Monthly

$116

Eff. Rate

1.32%

vs. South Dakota Avg21% below
vs. National Avg48.3% below

How ZIP 57383 Compares

Median Annual Property Tax

ZIP 57383$1,391
South Dakota Average$1,761
National Average$2,690

ZIP 57383

1.32%

Effective rate

South Dakota Avg

1.10%

Effective rate

National Avg

1.10%

Effective rate

State Ranking

Property Tax Rank in South Dakota

0.28%state avg 1.10%17.12%

Higher than 85% of ZIP codes in South Dakota(85th percentile, 294 ZIPs compared)

Property Tax Analysis

Property Tax Insights for ZIP 57383

Property owners in ZIP code 57383 (White Lake, South Dakota) pay a median of $1,391/year in property taxes on homes valued at $105,600. This translates to an effective tax rate of 1.32%, which is 20% above the South Dakota state average of 1.10%.

The monthly property tax burden for a median-valued home in 57383 is approximately $116, which factors into escrow payments on mortgages. This ZIP code is located within Aurora County. This is $370 less than the South Dakota average of $1,761/year.

Compared to similar ZIP codes in South Dakota, 57383 has lower property taxes. ZIP codes with similar effective rates include 57656 (1.32%) and 57445 (1.31%).

In White Lake, property taxes represent approximately 2.0% of the median household income of $71,250, providing context for the relative tax burden on homeowners in this area.

If you're considering purchasing a home in 57383, keep in mind that property taxes are based on the assessed value assigned by the local assessor, which may differ from the purchase price. In some states, properties are reassessed at or near the sale price upon transfer of ownership. For the most current tax information for a specific property, consult Aurora County's tax assessor directly.

Frequently Asked Questions

What is the property tax rate in ZIP code 57383?
The effective property tax rate in ZIP code 57383 (White Lake, SD) is 1.32%. 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 White Lake, SD (57383)?
The median annual property tax payment in ZIP code 57383 is $1,391. 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 57383 compare to the South Dakota average?
ZIP code 57383's effective tax rate of 1.32% is higher than the South Dakota state average of 1.10%. The median annual property tax in this ZIP is $1,391, compared to the state average of $1,761.
What is the median home value in ZIP 57383?
The median home value in ZIP code 57383 (White Lake, SD) is $105,600, according to U.S. Census Bureau American Community Survey 2019-2023 5-Year Estimates at the ZCTA level.
What county is ZIP code 57383 in?
ZIP code 57383 is part of Aurora County in South Dakota. For broader county-level property tax data, including comparisons with other counties in South Dakota, visit the Aurora County profile on TaxByCounty.

Margin of Error

The median property tax estimate for this ZIP code has a margin of error of ±$114. ZCTA-level data has wider margins than county-level estimates due to smaller sample sizes.

County-Level Data

ZIP code 57383 is part of Aurora County, South Dakota. View the full county profile for broader context and more data.

View Aurora County on TaxByCounty →
By Logan Johnson, Founder & Data EditorUpdated Reviewed by Logan Johnson, Founder & Data Editor

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 →