Select Language

AI社区

公开数据集

中位上市价格(1间卧室)

中位上市价格(1间卧室)

0.05M
254 浏览
0 喜欢
0 次下载
0 条讨论
Cities and Urban Areas Classification

数据结构 ? 0.05M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    # Context This dataset includes the median list price divided by the square footage of a 1-bedroom home for a select number of neighborhoods around the United States. # Content When available, data includes median price per square foot on a monthly basis between January 2010 and September 2016. Selected neighborhoods include: * Upper East Side, New York, NY * Spring Valley, Las Vegas, NV * Hollywood, Los Angeles, CA * Williamsburg, New York, NY * Harlem, New York, NY * Enterprise, Las Vegas,NV * Downtown, San Jose, CA * Sheepshead Bay, New York, NY * Forest Hills, New York, NY * Jackson Heights, New York, NY * Gramercy, New York, NY * Flagami, Miami, FL * Downtown, Memphis, TN * Chelsea, New York, NY * Oak Lawn, Dallas, TX * Greater Uptown, Houston, TX * South Loop, Chicago, IL * Makiki-Lower Punchbowl-Tantalus, Honolulu, HI * Downtown, Los Angeles, CA * Capitol Hill, Seattle, WA * Clinton, New York, NY * Alexandria West, Alexandria, VA * Financial District, New York, NY * Flatiron District, New York, NY * Landmark-Van Dom, Alexandria, VA * Flamingo Lummus, Miami Beach, FL * Winchester, Las Vegas, NV * Brickell, Miami, FL * Waikiki, Honolulu, HI * Back Bay, Boston, MA * Sutton Place, New York, NY * and several others # Inspiration * What neighborhoods have the most expensive real estate per square foot? Least expensive? * Which neighborhoods and/or cities have the fastest growth rates in price? * Are there any neighborhoods that remain relatively steady in price? * Given that this metric is listing price per square foot, is there a similar dataset that could help you compare median square footage in a 1-bedroom home across neighborhoods? # Acknowledgement This dataset is part of Zillow Data, and the original source can be found [here](http://www.zillow.com/research/data/#bulk), under the Neighborhoods link.
    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:0 去赚积分?
    • 254浏览
    • 0下载
    • 0点赞
    • 收藏
    • 分享