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Dataset of Urban Housing Price in Yangtze River Delta Region (2008-2018)


MA Yuzhu1LI Xiaoli1SONG Weixuan1
1 Nanjing Institute of Geography and Limnology,Nanjing 210008,China

DOI:10.3974/geodb.2019.04.17.V1

Published:Jul. 2019

Visitors:4068       Data Files Downloaded:596      
Data Downloaded:2608.57 MB      Citations:

Key Words:

Yangtze River Delta,housing price,city,county,2008-2018,Geographical Research

Abstract:

The Yangtze River Delta region includes 41 cities and 327 counties in Zhejiang province, Jiangsu province, Anhui province and Shanghai City. Based on the national real estate transaction information platform such as Fangtianxia (www.fang.com) and 365 Taofang.com (www.house365.com) and analysis result, the dataset of urban housing price in Yangtze River Delta region (2008-2018) was developed. The dataset includes: (1) Yearly house prices in districts or counties in the Yangtze River Delta from 2008 to 2018; (2) Yearly house prices in cities in the Yangtze River Delta from 2008 to 2018. The dataset is archived in .xlsx and .shp data formats, and consists of 17 data files with data size of 13.8 MB (Compressed to 4.37 MB in one file). The analysis paper based on the dataset was published at Geographical Research, Vol. 37, No.1, 2018.

Foundation Item:

National Natural Science Foundation of China (41771184)

Data Citation:

MA Yuzhu, LI Xiaoli, SONG Weixuan.Dataset of Urban Housing Price in Yangtze River Delta Region (2008-2018)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2019. https://doi.org/10.3974/geodb.2019.04.17.V1.

Ma, Y. Z., Li, X. L., Song, W. X. Geographic information dataset of urban housing price changes in the Yangtze River Delta region (2008–2018) [J]. Journal of Global Change Data & Discovery, 2019,3(4): 370–375. DOI: 10.3974/geodp.2019.04.09.

Data Product:

ID Data Name Data Size Operation
1 HousingPriceYangtzeRD_2008-2018.rar 4481.83KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum