Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
This web map displays the California Department of Education's (CDE) core set of geographic data layers. This content represents the authoritative source for all statewide public school site locations and school district service areas boundaries for the 2018-19 academic year. The map also includes school and district layers enriched with student demographic and performance information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.
This layer is sourced from gis.dot.state.oh.us.
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Enter an address to see which school catchment area that address is located in. The application can also use the location of the user, retrieved from the user's browser, rather than an address. The map is powered by Google Maps.
https://www.usa.gov/government-workshttps://www.usa.gov/government-works
The 2020-2021 School Learning Modalities dataset provides weekly estimates of school learning modality (including in-person, remote, or hybrid learning) for U.S. K-12 public and independent charter school districts for the 2020-2021 school year, from August 2020 – June 2021.
These data were modeled using multiple sources of input data (see below) to infer the most likely learning modality of a school district for a given week. These data should be considered district-level estimates and may not always reflect true learning modality, particularly for districts in which data are unavailable. If a district reports multiple modality types within the same week, the modality offered for the majority of those days is reflected in the weekly estimate. All school district metadata are sourced from the https://nces.ed.gov/ccd/files.asp#Fiscal:2,LevelId:5,SchoolYearId:35,Page:1">National Center for Educational Statistics (NCES) for 2020-2021.
School learning modality types are defined as follows:
Data Information
Technical Notes
Sources
https://www.usa.gov/government-workshttps://www.usa.gov/government-works
The 2021-2022 School Learning Modalities dataset provides weekly estimates of school learning modality (including in-person, remote, or hybrid learning) for U.S. K-12 public and independent charter school districts for the 2021-2022 school year and the Fall 2022 semester, from August 2021 – December 2022.
These data were modeled using multiple sources of input data (see below) to infer the most likely learning modality of a school district for a given week. These data should be considered district-level estimates and may not always reflect true learning modality, particularly for districts in which data are unavailable. If a district reports multiple modality types within the same week, the modality offered for the majority of those days is reflected in the weekly estimate. All school district metadata are sourced from the https://nces.ed.gov/ccd/files.asp#Fiscal:2,LevelId:5,SchoolYearId:35,Page:1">National Center for Educational Statistics (NCES) for 2020-2021.
School learning modality types are defined as follows:
This historical archive is a geodatabase that contains annual files for public school district center locations in the state of Minnesota for school years 2006-07 through 2008-09. The point locations of school district service offices were developed at MDE to complement other school locational information. Many school district offices, or service centers, are located in a current elementary, middle or high school building. Some have their own facility. All locations have been developed and compared to existing school locations or address matched using The Lawrence Group street centerline address files. Unmatched locations were matched through school district websites or Google maps. Some locations may be incorrect as a full QA/QC process has not been completed.
This metadata summarizes the content of these files but individual metadata records are also included for each annual file.
The point locations of school district service offices were developed at MDE to complement other school locational information. Many school district offices, or service centers, are located in a current elementary, middle or high school building. Some have their own facility. All locations have been developed and compared to existing school locations or address matched using The Lawrence Group street centerline address files. Unmatched locations were matched through school district websites or Google maps. Some locations may be incorrect as a full QA/QC process has not been completed.
This file is a geodatabase that contains annual files for public school district center locations in the state of Minnesota for school years 2006/07-2008/09. The point locations of school district service offices were developed at MDE to complement other school locational information. Many school district offices, or service centers, are located in a current elementary, middle or high school building. Some have their own facility. All locations have been developed and compared to existing school locations or address matched using The Lawrence Group street centerline address files. Unmatched locations were matched through school district websites or Google maps. Some locations may be incorrect as a full QA/QC process has not been completed.
This metadata summarizes the content of these files but individual metadata records are also included for each annual file.
West Allis Parcel Web Viewer is a GIS Web application that helps citizens identify their parcel and obtain information about it as well as information about their surrounding Neighborhood. This application is typically used by citizens to see their parcel assessed valuation, and compare it to other parcels in their neighborhood, but it can be used for many other uses as well. You can also see the Schools in West Allis, both public and private, as well as the West Allis West Milwaukee Public School District boundaries. Additionally, you can view zip code areas, Neighborhood District boundaries, Assessment boundaries for Residential and Commercial neighborhoods, Census 2010 Tracts, Block Groups, and Blocks, Zoning Districts, TIF and BID Districts, Existing Land Use, Land Use 2010, and Comp Plan 2030 Land Use. There is also an Intersection Bing Google feature that when turned on and clicked, will link you directly to either a Bing Map or Google Map of the area providing additional aerial photos. The Viewer will extend out to the limits of Milwaukee County, and show you Municipal Divisions in Waukesha County as well. Ortho Photo coverage for all of Milwaukee County is using the latest 2015 and 2018 imagery. West Allis Parcel Viewer Map can be used by anyone who needs to check out a parcel of land within West Allis, WI. This application provides 24/7 access to the parcel information and typically supplements customer service phone calls to City Staff with questions concerning a particular parcel
This is a replication dataset for the manuscript titled: "Haemoglobin concentration data on School-aged children (5-14yrs) across Public Primary Schools in Western Kenya." A survey of children attending 82 public primary schools in eight counties (Bungoma, Busia, Kakamega, Kisumu, Homa Bay, Migori, Siaya, Vihiga) across Western Kenya was conducted in February 2022. All eight counties and the respective 62 sub-counties had at least one school surveyed. At each school, approximately 100 children aged 5–14 years were randomly sampled from Classes 2 to 6. Selected children were asked to provide a finger-prick blood sample,which was used to assess their haemoglobin concentration using a portable photometer (HemoCue AB, Ängelholm, Sweden). The location of each sampled school was recorded using a hand-held Global Positioning System (GPS). The children provided information on their village of residence with the help of their teachers. Village coordinates were geolocated using Google Earth/Maps and digital place-name gazetteers, including Geonames, Encarta, and OpenStreetMap. The village locations were validated in ArcMap version 10.5 (ESRI Inc., Redlands, CA, USA) using the approximate travel time to schools reported by the children.
Point geometry feature class representing Colorado public school and private school locations along with the locations of school district offices, developed directly from address information obtained from the Colorado Department of Education in 2022. Coordinate locations (latitude/longitude) were derived from the known street addresses of health facilities using a combination of Centrus MapMarker geocoding software and Google Earth imagery locations. This file was developed by the Colorado Department of Public Health and Environment for use in program activities and emergency preparedness exercises.
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Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
This web map displays the California Department of Education's (CDE) core set of geographic data layers. This content represents the authoritative source for all statewide public school site locations and school district service areas boundaries for the 2018-19 academic year. The map also includes school and district layers enriched with student demographic and performance information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.