Cities with the most expensive homes in the Vineland metro area

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March 29, 2024
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Cities with the most expensive homes in the Vineland metro area

Purchasing a home is one of the most important investments there is. More than a place to live, homeownership is an asset with the potential to tremendously rise in value. But with home prices reaching record heights, affordability plays a huge role for buyers.

The typical home value in the United States was $349,216 in February, 4.2% higher than the year before.

High mortgage rates are also making monthly payments more expensive; as of March 28, the 30-year fixed mortgage rate sits at 6.79%.

Although home prices have inflated all across the U.S., there are some cities that command a higher price tag than others. Location, size, age, and condition are all contributing factors to home value.

Stacker compiled a list of cities with the most expensive homes in the Vineland metro area using data from Zillow. Charts show the monthly typical home value since January 2018. All 7 cities and towns with data available were included in the list.

1 / 7
Stacker

#7. Port Norris, NJ

- Typical home value: $154,436
- 1-year price change: +3.7%
- 5-year price change: +93.0%

2 / 7
Stacker

#6. Bridgeton, NJ

- Typical home value: $216,067
- 1-year price change: +8.2%
- 5-year price change: +67.4%

3 / 7
Stacker

#5. Millville, NJ

- Typical home value: $217,307
- 1-year price change: +8.4%
- 5-year price change: +68.2%

4 / 7
Stacker

#4. Cedarville, NJ

- Typical home value: $228,105
- 1-year price change: +5.4%
- 5-year price change: +55.4%

5 / 7
Stacker

#3. Shiloh, NJ

- Typical home value: $229,120
- 1-year price change: +5.2%
- 5-year price change: +54.7%

6 / 7
Stacker

#2. Greenwich, NJ

- Typical home value: $246,953
- 1-year price change: +3.8%
- 5-year price change: +31.8%

7 / 7
Stacker

#1. Vineland, NJ

- Typical home value: $268,367
- 1-year price change: +7.2%
- 5-year price change: +60.2%

This story features data reporting and writing by Elena Cox and is part of a series utilizing data automation across 379 metros.

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