El índice de vivienda en Corea del Sur se mantuvo sin cambios en 93 puntos en junio. Esta página proporciona - Índice de Precios de Viviendas de Corea del Sur - valores reales, datos históricos, pronóstico, gráfico, estadísticas, calendario económico y noticias.

The Hedonic Price Model, used in existing house price modeling, may not address the relationship between house prices and streetscapes perceived at the human eye level. Therefore, in this study, we analyzed the relationship between streetscapes perceived at eye level and single-family home prices in Seoul, Korea, using computer vision technology and machine learning algorithms. We used transaction data for 13,776 single-family housing sales between 2017 and 2019. To measure visually perceived streetscapes, this study used the Deeplab V3+ deep-learning model with 233,106 Google Street View panoramic images. Then, the best machine-learning model was selected by comparing the explanatory powers of the hedonic price model and all alternative machine-learning models. According to the results, the Gradient Boost model, a representative ensemble machine learning model, performed better than XGBoost, Random Forest, and Linear Regression models in predicting single-family house prices. In addition, this study used an interpretable machine learning model of the SHAP method to identify key features that affect single-family home price prediction. This solves the "black box" problem of machine learning models. Finally, by analyzing the nonlinear relationship and interaction effects between perceived streetscape characteristics and house prices, we easily and quickly identified the relationship between variables the hedonic price model partially considers.

Residential Property Prices in South Korea decreased 0.14 percent in March of 2025 over the same month in the previous year. This dataset includes a chart with historical data for South Korea Residential Property Prices.

House Price Index MoM in South Korea increased to 0.10 percent in June from -0.02 percent in May of 2025. This dataset includes a chart with historical data for South Korea House Price Index MoM.

South Korea Price to Income Ratio: sa data was reported at 83.566 2015=100 in 2024. This records a decrease from the previous number of 84.915 2015=100 for 2023. South Korea Price to Income Ratio: sa data is updated yearly, averaging 118.198 2015=100 from Dec 1986 (Median) to 2024, with 39 observations. The data reached an all-time high of 409.198 2015=100 in 1986 and a record low of 83.566 2015=100 in 2024. South Korea Price to Income Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database.

Home Ownership Rate in South Korea increased to 56.40 percent in 2023 from 56.20 percent in 2022. This dataset provides the latest reported value for - South Korea Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.