- Population
The population density of Rock Rapids, IA was 646 in 2018.
Population Density
Population Density is computed by dividing the total population by Land Area Per Square Mile.
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Geographic and Population Datasets Involving Rock Rapids, IA
- API
Iowa Aging Services Consumer Counts by Fiscal Year, Age Group, and Service
mydata.iowa.gov | Last Updated 2024-01-31T14:24:53.000ZData provides consumer counts for services provided to aging citizens of Iowa funded through federal and state programs starting in 2009 and is updated annually. It includes self-reported demographic information for services provided by age group, gender, live alone status, rural status, poverty status, racial identity, and ethnicity (per U.S. Census definitions). Counts include only those individuals who provided a response on intake. Intakes are completed on service initiation and annually thereafter. Unduplicated counts are by service; an individual may have received more than one service.
- API
NeighborhoodStatisticalAreas
data.richmondgov.com | Last Updated 2024-04-10T19:12:34.000ZThe City needed geographical area definitions that were homogenous and non-political. The preexisting Neighborhoods feature class was defined to maintain homogenous areas of the City, but they were determined to be too discrete and numerous. Pertaining to size as well, it was believed that the geographical areas should not be so large, as to group together areas of the City that were dissimilar in character. Of particular importance, it was also a requirement that NSA geography was designed to permit analysis using Census data. It was decided by the Planning Dept that adhering to Census Block Groups was the best approach. It was also determined that attempts to approximate the Planning Districts would also be beneficial. The approach to defining the NSAs was as follows: a) 2010 Census Block Groups were merged together to create each individual NSA, b) they were grouped in ways to maximize the ability to share boundaries with existing Planning Districts were ever possible. While most NSAs lie almost entirely within one Planning District, some NSAs are pretty equally split between two planning districts (notably D-1). In the case of D-1, PDR arbitrarily decided to put it with the other ‘Downtown’ NSAs. The identification/naming of the NSAs was based upon the Planning Districts they most corresponded to, along with a sequential numbering assignment. Most NSA lie almost entirely within one Planning District, and where named from that Planning District. Names starting with "NO" are mostly in the North planning district; "NW" are mostly in the Near West planning district; "BR" are mostly in the Broad Rock planning district, etc... There’s no significance for the number following the planning district lettering used by NSAs (NO-1, NO-2, NO-3, etc). The number was just randomly assigned to further uniquely define the area subdivided within the Planning District, and has no relationship in terms to square area, population density, or anything.
- API
MTA Transit Oriented Development (TOD) Data
opendata.maryland.gov | Last Updated 2024-03-25T15:38:10.000Z*** 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.