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16 McKim St

Randolph, MA 02368

4 bd 2 ba 1,800 sqft Built 1973 Lot 10,000 sqft single_family
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 $347,500 $258,400 $605,900 $7,034
2024 $349,000 $253,300 $602,300 $6,896
2023 $310,400 $230,300 $540,700 $6,532
2022 $270,400 $191,900 $462,300 $6,287
2021 $249,700 $159,900 $409,600 $6,054
2020 $234,800 $159,900 $394,700 $5,885
2018 $205,500 $138,400 $343,900 $5,461
2017 $184,900 $131,900 $316,800 $5,126
2016 $167,200 $119,900 $287,100 $4,993
2015 $155,900 $114,100 $270,000 $4,887
2014 $149,500 $116,200 $265,700 $4,828
2006 $172,700 $133,500 $306,200 $3,016
2005 $167,700 $129,600 $297,300 $2,914
2003 $106,800 $96,100 $202,900 $2,571

Property facts

Year built
1973
Property type
single_family
Stories
2
Beds
4
Baths
2
Living area
1,800 sqft
Lot size
10,000 sqft
ZIP code
02368
City
Randolph
Street
McKim St
Coordinates
42.20271, -71.05409

Comparable properties nearby

Frequently asked questions

When did 16 McKim St last sell?
No public-record sale is on file for 16 McKim St.
What is the current tax assessment for 16 McKim St?
The most recent total assessment for 16 McKim St (year 2025) is $605,900 with $7,034 in property tax.
When was 16 McKim St built?
16 McKim St was built in 1973.
How does 16 McKim St compare to others on McKim St?
We do not currently track other properties on McKim St.
What are the property facts for 16 McKim St?
16 McKim St is a 4 bed, 2 bath, 1,800 sqft, 10,000 sqft lot single_family.
Is 16 McKim St a flip candidate?
No — 16 McKim St does not appear in our flips dataset.
Is 16 McKim St a tax-appeal candidate?
No — 16 McKim 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
+1.2%
Implied 1-yr
+4.7%
2026 Q3
$548.3K
2026 Q4
$554.3K
ZIP 02368 — Median Price History + Forecast

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