新北地區時價登錄交易

Abstract

摘要 隨著台灣房價持續上揚，特別是在新北市地區，住宅價格受到多項因素影響，使得民眾在購屋時面臨高度不確定性，尤其對於屋齡、住宅條件與區位等因素與單價之間的關聯性，常缺乏明確判斷依據。因此，本研究之目的在於透過實證分析，探討影響新北市住宅單價之主要因素，以協助購屋者進行更理性的決策，並加深對不動產市場特性的理解。 本研究以新北市於 2025 年 10 月 17 日至 11 月 17 日期間之實價登錄資料作為研究樣本，並以每平方公尺單價作為反應變數（Y）。解釋變數（X）則包含屋齡、是否設有電梯、房間數、建物所在之鄉鎮市區以及建物總樓層數等住宅特性。研究過程中，先利用 Excel 進行資料整理與初步處理，再透過 SAS Enterprise Guide 進行統計分析與模型建構，以評估各變數對住宅單價之影響情形。 研究結果顯示，區位對新北市住宅單價具有穩定且顯著之影響，為影響房價的重要因素之一；屋齡與房間數則與單價呈現負向關係。相較之下，是否設有電梯及建物總樓層數對房價之影響較不明顯。整體而言，本研究結果可作為民眾購屋時評估住宅條件之參考，亦能提供後續不動產相關研究之基礎。 Abstract As housing prices in Taiwan continue to rise, particularly in New Taipei City. As housing prices in Taiwan continue to rise, particularly in the New Taipei City area, residential property values are influenced by multiple factors, creating a high level of uncertainty for homebuyers. In particular, the relationships between housing age, residential characteristics, location, and unit price are often unclear to the general public. Therefore, the purpose of this study is to conduct an empirical analysis to identify the key factors affecting residential unit prices in New Taipei City, with the aim of assisting homebuyers in making more informed decisions and enhancing the understanding of local real estate market characteristics. This study utilizes transaction price registration data from New Taipei City covering the period from October 17 to November 17, 2025. The unit price per square meter is selected as the dependent variable (Y), while the independent variables (X) include housing age, the presence of an elevator, number of rooms, the administrative district in which the property is located, and the total number of floors in the building. Data were first organized and preprocessed using Microsoft Excel, followed by statistical analysis and model construction conducted through SAS Enterprise Guide to evaluate the effects of various housing characteristics on residential unit prices. The empirical results indicate that location has a stable and statistically significant impact on residential unit prices in New Taipei City and represents one of the most influential determinants of housing prices. Housing age and number of rooms exhibit negative relationships with unit prices. In contrast, the presence of an elevator and the total number of building floors do not have significant effects on housing prices. Overall, the findings of this study provide useful references for homebuyers when evaluating housing conditions and offer a foundation for future research in the field of real estate studies.