- What is the Population Count?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Crime incident count?
- What is the Population Rate of Change?
- What is the Water Area?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
The population density of Lewiston, ID was 1,885 in 2017.
Geographic and Population Datasets Involving Lewiston, ID
- API bronx.lehman.cuny.edu | Last Updated 2019-02-15T18:22:38.000Z
Population per hexagon, using 5-year American Community Survey data from 2011. Since each hexagon is equivalent in area, this also serves as a population density map. The data was received as population per census tract. Then a ratio was created: Tract Population/Tract Area = Hexagon Population/Hexagon Area. This was rearranged so that: Hexagon population = HexArea(TractPop/TractArea).
- API dashboard.edmonton.ca | Last Updated 2018-06-07T20:40:20.000Z
Infrastructure Density looks at the City’s efficiency in providing infrastructure. It is calculated as a ratio of the city’s population divided by the quantity of infrastructure assets. The quantity of infrastructure assets is represented by the total estimated length of the following: • Arterial, collector and local roads (centre-line kilometres) • Alleys (kilometres) • Sidewalks (kilometres) • Sanitary, storm and combined sewers (kilometres)
- API data.bayareametro.gov | Last Updated 2018-07-06T18:06:56.000Z
VITAL SIGNS INDICATOR Population (LU1) FULL MEASURE NAME Population estimates LAST UPDATED September 2016 DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region. DATA SOURCES Longitudinal Tract Database: Decennial Census 1970-2010 http://www.s4.brown.edu/us2010/index.htm American Community Survey: 5-Year Population Estimates 2012-2014 http://factfinder.census.gov CONTACT INFORMATION email@example.com METHODOLOGY NOTES (across all datasets for this indicator) All legal boundaries and names for Census geography (metropolitan statistical area, county, city, tract) are as of January 1, 2010, released beginning November 30, 2010 by the U.S. Census Bureau. A priority development area (PDA) is a locally-designated infill area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are as current as July 2016. Population estimates for PDAs were derived from Census population counts at the block group level for 2000-2014 and at the tract level for 1970-1990. Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970 -2010) and the American Community Survey (2008-2012 5-year rolling average; 2010-2014 5-year rolling average). Population estimates for Bay Area PDAs are from the decennial Census (1970 - 2010) and the American Community Survey (2006-2010 5 year rolling average; 2010-2014 5-year rolling average. Estimates of density for tracts and PDAs use gross acres as the denominator. Annual population estimates for metropolitan areas outside the Bay Area are from the Census and are benchmarked to each decennial Census. The annual estimates in the 1990s were not updated to match the 2000 benchmark.
- API opendata.maryland.gov | Last Updated 2019-08-26T14:17:07.000Z
*** 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.
- API data.lacounty.gov | Last Updated 2019-10-01T22:35:51.000Z
The total number of 2015 jobs located in planned 2040 HQTAs. High Quality Transit Areas (HQTAs) are defined as being within 1/2-mile of fixed guideway transit and/ or bus rapid transit stations with service every 15 minutes or less during peak commute times. SCAG published two shapefiles of (HQTAs): one for actual HQTAs in 2012, and one for planned HQTAs in 2040. HQTAs were mapped for the county, along with population density.
- API opendata.usac.org | Last Updated 2019-10-13T08:46:30.000Z
This data set 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.
- API data.lacounty.gov | Last Updated 2019-10-01T22:57:49.000Z
The total number of 2015 jobs located in planned 2012 HQTAs. High Quality Transit Areas (HQTAs) are defined as being within 1/2-mile of fixed guideway transit and/ or bus rapid transit stations with service every 15 minutes or less during peak commute times. SCAG published two shapefiles of (HQTAs): one for actual HQTAs in 2012, and one for planned HQTAs in 2040. HQTAs were mapped for the county, along with population density.