The population density of Beaverton, OR was 4,761 in 2011. The population density of Federal Way, WA was 3,989 in 2011.
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 Federal Way, WA or Beaverton, OR
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WAOFM - Census - Population and Housing, 2000 and 2010
data.wa.gov | Last Updated 2021-09-01T17:20:31.000ZPopulation and housing information extracted from decennial census Public Law 94-171 redistricting summary files for Washington state for years 2000 and 2010.
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Hospital Inpatient Discharge Rates, Average Charges, Average Payments, and Charge-to-Payment Ratios by DRG - U.S., Northwest, and Washington State - FY2011
data.wa.gov | Last Updated 2013-06-20T21:58:06.000ZThe dataset contains hospital inpatient discharge rates, charges, covered payments, charge-to-payment ratios for the 100 most common DRGs among hospitals in the Medicare Prospective Payment System.
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WAOFM - Census - Population Density by County by Decade, 1900 to 2020
data.wa.gov | Last Updated 2023-07-06T16:48:57.000ZWashington state population density by county by decade 1900 to 2020.
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WAOFM - Congressional Districts - Table 1: Census 2010 Population and Housing
data.wa.gov | Last Updated 2021-09-01T17:19:01.000ZCensus 2010 population and housing for 2012 congressional districts based on Washington State Redistricting Commission plan C-JOINTSUB_2-1 as amended by Engrossed House Concurrent Resolution 4409.
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WAOFM - April 1 - Population Density by County, 2000 to Present
data.wa.gov | Last Updated 2024-07-11T21:24:42.000ZIntercensal and postcensal estimates of population density by county 2000 to present.
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WAOFM - Legislative Districts - Table 1: Census 2010 Population and Housing
data.wa.gov | Last Updated 2021-09-01T17:19:16.000ZCensus 2010 population and housing for legislative districts based on Washington State Redistricting Commission plan L-JOINTSUB_3-2 as amended by Engrossed House Concurrent Resolution 4409.
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Waste Tire Abatement Sites
data.ny.gov | Last Updated 2022-08-12T17:59:04.000ZInformation on designated waste tire abatement sites in New York State, including approximate size, location, and abatement status.
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E-Rate Supplemental Entity Information
datahub.usac.org | Last Updated 2024-09-21T08:46:53.000ZThis dataset contains E-Rate Productivity Center (EPC) information about schools, libraries, school districts, library systems, consortia, and non-instructional facilities (NIFs). For Annexes information, please refer to the "E-Rate Supplemental Entity Information: Annexes" dataset.
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Water Rates Survey Data 2017
data.orcities.org | Last Updated 2018-04-30T21:33:40.000ZThis is the survey results from the 2017 LOC Water Rates Survey. The attached Survey will help you with the coding of the data.
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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.