City of Grand Rapids Zip Code Boundaries

This data set contains the boundaries of the zip codes within the boundaries of the City Limits of Gran Rapids, MI

Parks - Acreage per Thousand Residents

Number of acres of park land per 1,000 residents in Grand Rapids

Population Density By Land Area And County In Utah 2010

This data set contains population density by land area and county of residence in Utah for 2010.

Mobile GR - Percent of population within a Quarter mile of 15 minute or less public transit service all day

Spectrum Health West Michigan Community College Districts

The dataset contains information of school districts that fall within the Grand Rapids Community College, Montcalm Community College, and West Shore Community College district areas as of February, 2021.

Demographics Stats at a Glance

These are the statistics listed in the "Stats at a Glance" section of the City of Austin demographics website: https://demographics-austin.hub.arcgis.com/

ECC - Clerk: Board and Commission vs. GR City Census Demographics

This dataset tracks the demographics of City Boards and Commissions. It also includes the 2010 Census demographic data for the Grand Rapids city population. We also calculate the percent variance between the the percent of residents of a particular race represented on City Boards/Commission in comparison to the percent of that race overall in the City using these data.

ACS - Unemployment Details

Unemployment rates and margin of error for the City of Grand Rapids broken down by total population, age, disability status, educational attainment, poverty status, race, and sex.

Internet Master Plan: Adoption and Infrastructure Data by Neighborhood

Key indicators of broadband adoption, service and infrastructure in New York City.</p> <b>Data Limitations:</b> Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.

MTA Transit Oriented Development (TOD) Data

*** DISCLAIMER - This web page is a public resource of general information. The Maryland Mass Transit Administration (MTA) makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database information provided herein. MTA and partner state, local, and other agencies shall assume no liability for errors, omissions, or inaccuracies in the information provided regardless of how caused; or any decision made or action taken or not taken by any person relying on any information or data furnished within. *** This dataset assesses rail station potential for different forms of transit oriented development (TOD). A key driver of increased transit ridership in Maryland, TOD capitalizes on existing rapid transit infrastructure. The online tool focuses on the MTA’s existing MARC Commuter Rail, Metro Subway, and Central Light Rail lines and includes information specific to each station. The goal of this dataset is to give MTA planning staff, developers, local governments, and transit riders a picture of how each MTA rail station could attract TOD investment. In order to make this assessment, MTA staff gathered data on characteristics that are likely to influence TOD potential. The station-specific data is organized into 6 different categories referring to transit activity; station facilities; parking provision and utilization; bicycle and pedestrian access; and local zoning and land availability around each station. As a publicly shared resource, this dataset can be used by local communities to identify and prioritize area improvements in coordination with the MTA that can help attract investment around rail stations. You can view an interactive version of this dataset at geodata.md.gov/tod. ** Ridership is calculated the following ways: Metro Rail ridership is based on Metro gate exit counts. Light Rail ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. MARC ridership is calculated using two (2) independent methods: Monthly Line level ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. This method of ridership calculation is used by the MTA for official reporting purposes to State level and Federal level reporting. Station level ridership is estimated by using person counts completed by the third party vendor. This method of calculation has not been verified by the FTA for statistical reporting and is used for scheduling purposes only. However, because of the granularity of detail, this information is useful for TOD applications. *Please note that the monthly level ridership and the station level ridership are calculated using two (2) independent methods that are not interchangeable and should not be compared for analysis purposes.