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Real Estate Python Library

From the CORGIS Dataset Project

By Austin Cory Bart acbart@vt.edu, Joung Min Choi, Bo Guan
Version 3.0.0, created 11/05/2021
Tags: real, estate, buildings, government, building

Overview

Real Estate Across the United States (REXUS) is the primary tool used by PBS to track and manage the government’s real property assets and to store inventory data, building data, customer data, and lease information. STAR manages aspects of real property space management, including identification of all building space and daily management of 22,000 assignments for all property to its client Federal agencies. This data set contains PBS building inventory that consists of both owned and leased buildings with active and excess status.

https://catalog.data.gov/dataset/real-estate-across-the-united-states-rexus-inventory-building

Explore Structure

Each row represents building.

Index Type Example Value
0 dict { }
1 dict (same structure)
2 dict (same structure)
... ... ...
Key Type Example Value Description
"data" dict { }
"location" dict { }
Key Type Example Value Description
"date" str "1933.1.1" The construction date (Denoted as 0 for unknown)
"owned or leased" str "OWNED" The leasing status of the building
"parking spaces" int 29 The number of spaces in the parking lot
"status" str "ACTIVE" The status of the building for whether it is still active, excess, or decomissioned
"type" str "BUILDING" The property type
"disabilities" dict { }
Key Type Example Value Description
"congressional district" str "1" The number of the congressional district in the area of the building
"id" str "CT0013" The location code for the area of the building
"region id" str "1" The region code for the area of the building
"address" dict { }
Key Type Example Value Description
"ADA Accessible" str "Will Conform" The status whether the building follows the ADA (Americans with Disabilities Act) accessibility standarads
"ansi usable" str "97072" The building code for ANSI (the American National StandardInstitute) standard
Key Type Example Value Description
"city" str "HARTFORD" The city address of the building
"county" str "HARTFORD COUNTY" The county address of the building
"line 1" str "135 HIGH ST" The line 1 address of the building
"state" str "CT" The state address of the building
"zip" str "61031125" The zipcode of the building

Downloads

Download all of the following files.

  1. real_estate.py
  2. real_estate.data

Usage

import real_estate
building = real_estate.get_building()

Documentation

get_building()
Returns a list of dictionaries representing building.