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16348 King St

Sapulpa, OK 74066

ba 1,216 sqft Built 1998 Lot 98,881 sqft mobile
No recorded sales

Location

Timeline: Sale, Listing & Tax History

Recorded events

No recorded events

No sale or listing events are on file for this property.

Tax assessment history

YearBuildingLandTotal assessedTax paid
2025 $8,054 $10,685 $18,739 $1,650
2024 $8,054 $10,685 $18,739 $1,663
2023 $1,920 $5,520 $7,440 $533
2022 $1,703 $5,520 $7,223 $550
2021 $450 $5,520 $5,970 $445
2020 $276 $5,520 $5,796 $439
2019 $255 $5,520 $5,775 $414
2018 $255 $5,520 $5,775 $421
2017 $255 $5,520 $5,775 $423
2016 $274 $2,261 $2,535 $228
2015 $274 $2,261 $2,535 $234
2014 $274 $2,261 $2,535 $234
2013 $274 $2,261 $2,535 $210
2012 $274 $2,261 $2,535 $212
2011 $490 $1,925 $2,415 $208
2010 $490 $1,925 $2,415 $210
2009 $203 $1,449 $1,652 $146
2008 $4,251 $1,449 $5,700 $497
2007 $36 $720 $756 $67

Property facts

Year built
1998
Property type
mobile
Stories
Beds
Baths
Living area
1,216 sqft
Lot size
98,881 sqft
ZIP code
74066
City
Sapulpa
Street
King St
Coordinates
36.06709, -96.17535

Comparable properties nearby

Frequently asked questions

When did 16348 King St last sell?
No public-record sale is on file for 16348 King St.
What is the current tax assessment for 16348 King St?
The most recent total assessment for 16348 King St (year 2025) is $18,739 with $1,650 in property tax.
When was 16348 King St built?
16348 King St was built in 1998.
How does 16348 King St compare to others on King St?
We do not currently track other properties on King St.
What are the property facts for 16348 King St?
16348 King St is a — bath, 1,216 sqft, 98,881 sqft lot mobile.
Is 16348 King St a flip candidate?
No — 16348 King St does not appear in our flips dataset.
Is 16348 King St a tax-appeal candidate?
No — 16348 King St is not currently flagged as a tax-appeal candidate.

Forecast for this area

ZIP-area linear projection — not a per-property automated valuation
Quarterly trend
+5.7%
Implied 1-yr
+22.8%
2026 Q3
$368.8K
2026 Q4
$384.1K
ZIP 74066 — Median Price History + Forecast

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