# 新北市房價與成交單價中位數｜新北房價、各行政區排名｜房價放大鏡

新北市各行政區的成交單價中位數、有效成交筆數與房價所得比，年度統計到 2025 年。樣本不足的行政區留白，不會塗成零。

Canonical: https://housinglens.dream-coders.com/county/%E6%96%B0%E5%8C%97%E5%B8%82/

## 新北市房價：每坪 45.5 萬元（2025 年成交單價中位數）

2025 年新北市的成交單價中位數是每坪 45.5 萬元，由 22,915 筆有效成交算出，在 21 個有資料的縣市裡排第 2 名。

同年全國中位數是每坪 30.8 萬元，新北市高出 48%。

新北市底下有 29 個行政區，其中 22 個在 2025 年達到 30 筆的公布門檻，其餘留白。

轄內最貴的是 永和區（每坪 59.1 萬元），最低的是 萬里區（每坪 10.0 萬元），兩者差 5.9 倍。

這個資料站由[編夢者](https://dream-coders.com/cases/housinglens?utm_source=housinglens&utm_medium=referral&utm_campaign=site-cta&utm_content=data-note)製作。公司報表、資料整理成網站，我們也有在做。

## 逐年成交單價中位數

只畫樣本足夠的年度。

## 2025 年轄內行政區排名

共 29 個行政區，其中 22 個達到 30 筆的公布門檻。 沒達到的留白，那是沒有公布，不是零。

- [永和區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B0%B8%E5%92%8C%E5%8D%80/)
- [板橋區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%9D%BF%E6%A9%8B%E5%8D%80/)
- [三重區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%B8%89%E9%87%8D%E5%8D%80/)
- [中和區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%B8%AD%E5%92%8C%E5%8D%80/)
- [新莊區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%96%B0%E8%8E%8A%E5%8D%80/)
- [蘆洲區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E8%98%86%E6%B4%B2%E5%8D%80/)
- [土城區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E5%9C%9F%E5%9F%8E%E5%8D%80/)
- [新店區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%96%B0%E5%BA%97%E5%8D%80/)
- [林口區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%9E%97%E5%8F%A3%E5%8D%80/)
- [泰山區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B3%B0%E5%B1%B1%E5%8D%80/)
- [汐止區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B1%90%E6%AD%A2%E5%8D%80/)
- [五股區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%BA%94%E8%82%A1%E5%8D%80/)
- [三峽區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%B8%89%E5%B3%BD%E5%8D%80/)
- [樹林區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%A8%B9%E6%9E%97%E5%8D%80/)
- [深坑區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B7%B1%E5%9D%91%E5%8D%80/)
- [淡水區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B7%A1%E6%B0%B4%E5%8D%80/)
- [鶯歌區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E9%B6%AF%E6%AD%8C%E5%8D%80/)
- [八里區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E5%85%AB%E9%87%8C%E5%8D%80/)
- [金山區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E9%87%91%E5%B1%B1%E5%8D%80/)
- [三芝區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%B8%89%E8%8A%9D%E5%8D%80/)
- [瑞芳區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E7%91%9E%E8%8A%B3%E5%8D%80/)
- [萬里區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E8%90%AC%E9%87%8C%E5%8D%80/)
- [石碇區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E7%9F%B3%E7%A2%87%E5%8D%80/)
- [坪林區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E5%9D%AA%E6%9E%97%E5%8D%80/)
- [石門區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E7%9F%B3%E9%96%80%E5%8D%80/)
- [平溪區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E5%B9%B3%E6%BA%AA%E5%8D%80/)
- [雙溪區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E9%9B%99%E6%BA%AA%E5%8D%80/)
- [貢寮區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E8%B2%A2%E5%AF%AE%E5%8D%80/)
- [烏來區房價](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E7%83%8F%E4%BE%86%E5%8D%80/)
| 名次 | 行政區 | 單價中位數（萬元/坪） | 有效成交筆數 | 房價所得比 | 相對負擔指數 |
| --- | --- | --- | --- | --- | --- |
| 1 | [永和區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B0%B8%E5%92%8C%E5%8D%80/) | 59.1 | 916 | — | — |
| 2 | [板橋區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%9D%BF%E6%A9%8B%E5%8D%80/) | 58.5 | 2,600 | — | — |
| 3 | [三重區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%B8%89%E9%87%8D%E5%8D%80/) | 55.7 | 2,003 | — | — |
| 4 | [中和區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%B8%AD%E5%92%8C%E5%8D%80/) | 54.8 | 2,236 | — | — |
| 5 | [新莊區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%96%B0%E8%8E%8A%E5%8D%80/) | 50.0 | 2,352 | — | — |
| 6 | [蘆洲區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E8%98%86%E6%B4%B2%E5%8D%80/) | 49.1 | 788 | — | — |
| 7 | [土城區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E5%9C%9F%E5%9F%8E%E5%8D%80/) | 49.0 | 1,136 | — | — |
| 8 | [新店區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%96%B0%E5%BA%97%E5%8D%80/) | 48.1 | 1,846 | — | — |
| 9 | [林口區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%9E%97%E5%8F%A3%E5%8D%80/) | 44.1 | 976 | — | — |
| 10 | [泰山區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B3%B0%E5%B1%B1%E5%8D%80/) | 42.2 | 395 | — | — |
| 11 | [汐止區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B1%90%E6%AD%A2%E5%8D%80/) | 41.6 | 1,544 | — | — |
| 12 | [五股區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%BA%94%E8%82%A1%E5%8D%80/) | 40.0 | 684 | — | — |
| 13 | [三峽區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%B8%89%E5%B3%BD%E5%8D%80/) | 39.1 | 482 | — | — |
| 14 | [樹林區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%A8%B9%E6%9E%97%E5%8D%80/) | 37.9 | 670 | — | — |
| 15 | [深坑區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B7%B1%E5%9D%91%E5%8D%80/) | 36.5 | 124 | — | — |
| 16 | [淡水區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E6%B7%A1%E6%B0%B4%E5%8D%80/) | 32.1 | 2,851 | — | — |
| 17 | [鶯歌區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E9%B6%AF%E6%AD%8C%E5%8D%80/) | 30.7 | 375 | — | — |
| 18 | [八里區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E5%85%AB%E9%87%8C%E5%8D%80/) | 27.9 | 307 | — | — |
| 19 | [金山區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E9%87%91%E5%B1%B1%E5%8D%80/) | 15.0 | 85 | — | — |
| 20 | [三芝區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E4%B8%89%E8%8A%9D%E5%8D%80/) | 13.7 | 227 | — | — |
| 21 | [瑞芳區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E7%91%9E%E8%8A%B3%E5%8D%80/) | 12.7 | 116 | — | — |
| 22 | [萬里區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E8%90%AC%E9%87%8C%E5%8D%80/) | 10.0 | 165 | — | — |
| — | [石碇區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E7%9F%B3%E7%A2%87%E5%8D%80/) | — | 3 | — | — |
| — | [坪林區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E5%9D%AA%E6%9E%97%E5%8D%80/) | — | 1 | — | — |
| — | [石門區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E7%9F%B3%E9%96%80%E5%8D%80/) | — | 12 | — | — |
| — | [平溪區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E5%B9%B3%E6%BA%AA%E5%8D%80/) | — | 0 | — | — |
| — | [雙溪區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E9%9B%99%E6%BA%AA%E5%8D%80/) | — | 5 | — | — |
| — | [貢寮區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E8%B2%A2%E5%AF%AE%E5%8D%80/) | — | 14 | — | — |
| — | [烏來區](https://housinglens.dream-coders.com/town/%E6%96%B0%E5%8C%97%E5%B8%82-%E7%83%8F%E4%BE%86%E5%8D%80/) | — | 2 | — | — |

## 逐年數字

樣本不足的年度以「—」表示，那是沒有公布，不是零。

| 年度 | 單價中位數（萬元/坪） | 總價中位數（萬元） | 有效成交筆數 | 房價所得比 | 備註 |
| --- | --- | --- | --- | --- | --- |
| 2025 | 45.5 | 1,403 | 22,915 | — |  |
| 2024 | 45.9 | 1,448 | 38,727 | — |  |
| 2023 | 42.2 | 1,340 | 42,616 | 25.3 |  |
| 2022 | 39.9 | 1,288 | 42,081 | 25.0 |  |
| 2021 | 37.4 | 1,262 | 57,814 | 26.8 |  |
| 2020 | 35.7 | 1,195 | 60,824 | 26.4 |  |
| 2019 | 34.5 | 1,150 | 51,478 | 25.4 | 所得口徑與前一年不可比 |
| 2018 | 32.6 | 1,100 | 43,406 | 16.7 |  |
| 2017 | 31.6 | 1,060 | 39,790 | 16.8 |  |
| 2016 | 30.7 | 1,050 | 33,049 | 16.7 |  |
| 2015 | 31.3 | 1,058 | 35,846 | 16.9 |  |
| 2014 | 31.6 | 1,078 | 46,757 | 17.6 |  |
| 2013 | 29.5 | 1,015 | 65,974 | 17.1 |  |

## 其他縣市

- [南投縣](https://housinglens.dream-coders.com/county/%E5%8D%97%E6%8A%95%E7%B8%A3/)
- [嘉義市](https://housinglens.dream-coders.com/county/%E5%98%89%E7%BE%A9%E5%B8%82/)
- [嘉義縣](https://housinglens.dream-coders.com/county/%E5%98%89%E7%BE%A9%E7%B8%A3/)
- [基隆市](https://housinglens.dream-coders.com/county/%E5%9F%BA%E9%9A%86%E5%B8%82/)
- [宜蘭縣](https://housinglens.dream-coders.com/county/%E5%AE%9C%E8%98%AD%E7%B8%A3/)
- [屏東縣](https://housinglens.dream-coders.com/county/%E5%B1%8F%E6%9D%B1%E7%B8%A3/)
- [彰化縣](https://housinglens.dream-coders.com/county/%E5%BD%B0%E5%8C%96%E7%B8%A3/)
- [新竹市](https://housinglens.dream-coders.com/county/%E6%96%B0%E7%AB%B9%E5%B8%82/)
- [新竹縣](https://housinglens.dream-coders.com/county/%E6%96%B0%E7%AB%B9%E7%B8%A3/)
- [桃園市](https://housinglens.dream-coders.com/county/%E6%A1%83%E5%9C%92%E5%B8%82/)
- [澎湖縣](https://housinglens.dream-coders.com/county/%E6%BE%8E%E6%B9%96%E7%B8%A3/)
- [臺中市](https://housinglens.dream-coders.com/county/%E8%87%BA%E4%B8%AD%E5%B8%82/)
- [臺北市](https://housinglens.dream-coders.com/county/%E8%87%BA%E5%8C%97%E5%B8%82/)
- [臺南市](https://housinglens.dream-coders.com/county/%E8%87%BA%E5%8D%97%E5%B8%82/)
- [臺東縣](https://housinglens.dream-coders.com/county/%E8%87%BA%E6%9D%B1%E7%B8%A3/)
- [花蓮縣](https://housinglens.dream-coders.com/county/%E8%8A%B1%E8%93%AE%E7%B8%A3/)
- [苗栗縣](https://housinglens.dream-coders.com/county/%E8%8B%97%E6%A0%97%E7%B8%A3/)
- [連江縣](https://housinglens.dream-coders.com/county/%E9%80%A3%E6%B1%9F%E7%B8%A3/)
- [金門縣](https://housinglens.dream-coders.com/county/%E9%87%91%E9%96%80%E7%B8%A3/)
- [雲林縣](https://housinglens.dream-coders.com/county/%E9%9B%B2%E6%9E%97%E7%B8%A3/)
- [高雄市](https://housinglens.dream-coders.com/county/%E9%AB%98%E9%9B%84%E5%B8%82/)
想一次看完全台，到 [全台地圖](https://housinglens.dream-coders.com/map)。 口徑、排除規則與樣本門檻寫在 [資料與方法](https://housinglens.dream-coders.com/method)。分母是綜所稅「申報所得」（每一納稅單位），不是家庭可支配所得，因此本站倍數明顯高於內政部官方房價所得比，兩者不可直接對照。跨區比較請用相對負擔指數（全國同年 ＝ 100）。

## 新北市房價：常見問題

### 新北市房價多少？

2025 年新北市的成交單價中位數是每坪 45.5 萬元，總價中位數 1,403 萬元，由 22,915 筆有效成交算出。資料來自內政部不動產實價登錄。

### 新北市房價全台排第幾？

依成交單價中位數，新北市在 21 個縣市裡排第 2 名，比全國中位數（每坪 30.8 萬）高 48%。

### 新北市哪一區房價最高？

2025 年新北市樣本足夠的 22 個行政區裡，成交單價中位數最高的是永和區（每坪 59.1 萬），最低的是萬里區（每坪 10.0 萬）。

### 新北市房價比以前高還是低？

2025 年新北市的成交單價中位數是每坪 45.5 萬元，比 2024 年（每坪 45.9 萬）低 0.9%；比 2013 年（每坪 29.5 萬）高 54.1%。樣本不足的年度不拿來比。