The Town of Apex Geographic Information Services or GIS (the “Town”) makes no representations, warranties or guarantees as to the accuracy and completeness of this information and/or GIS data, and the Town is not responsible for any errors or omissions concerning the content and positional accuracy of such information and GIS data. The user must consult the primary sources from which the Town’s GIS has compiled this dataset or product. Specific questions pertaining to the accuracy and/or actual location of any feature, object or item depicted on this map, contained on a CD, stored on a FTP site, or contained in any specific GIS dataset must be directed to the GIS Administrator or other responsible departmental authority. Any general concerns about policy and procedures regarding the distribution of this GIS information should be directed to the Construction Management Director or the Town Manager. Thank you for your consideration.
The GIS Web Mapping Application is design to have the look and feel as Google Earth. The primary functionality is to provide the user information about FRA's rail lines, rail crossings, freight stations, and mileposting.
DIVA-GIS's admin4 file of Kenya
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘2018 CT Data Catalog (GIS)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5a93e011-4ea8-40b1-a888-0f573e6b785d on 26 January 2022.
--- Dataset description provided by original source is as follows ---
Catalog of high value data inventories produced by Connecticut executive branch agencies and compiled by the Office of Policy and Management. This catalog contains information on high value GIS data only. A catalog of high value non-GIS data may be found at the following link: https://data.ct.gov/Government/CT-Data-Catalog-Non-GIS-/ghmx-93jn
As required by Public Act 18-175, executive branch agencies must annually conduct a high value data inventory to capture information about the high value data that they collect.
High value data is defined as any data that the department head determines (A) is critical to the operation of an executive branch agency; (B) can increase executive branch agency accountability and responsiveness; (C) can improve public knowledge of the executive branch agency and its operations; (D) can further the core mission of the executive branch agency; (E) can create economic opportunity; (F) is frequently requested by the public; (G) responds to a need and demand as identified by the agency through public consultation; or (H) is used to satisfy any legislative or other reporting requirements.
This dataset was last updated 1/2/2019 and will continue to be updated as high value data inventories are submitted to OPM.
--- Original source retains full ownership of the source dataset ---
This table contains the assessed values for current tax year and prior tax year for land and building for properties in Fairfax County. There is a one to one relationship to the parcel data. Refer to this document for descriptions of the data in the table.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Neighborhood Names GIS’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/21d5defb-cc17-43c7-ad1b-f216e5221033 on 27 January 2022.
--- Dataset description provided by original source is as follows ---
GIS data: neighborhood labels as depicted in New York City: A City of Neighborhoods.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
--- Original source retains full ownership of the source dataset ---
A Geospatial Data Resource Site (GDRS) is a structured collection of GIS apps and data used as the data structure that supports the Minnesota Geospatial Commons (MGC) and MNDNR Quick Layers (for ArcGIS Pro and ArcMap). The GDRS Manager application allows anyone to create their own local GDRS, either to be shared on an organization's network drive or to use offline. There is no installation for the GDRSManager. Simply download the application and double-click the executable file to run it. Current version: 1.0.0.44
Use https://resources.gisdata.mn.gov/pub/gdrs as the source GDRS to access the full public data from the MGC. Copy everything or select which datasets you want to copy to a local GDRS destination. If you have disk space or download speed limiations, sorting the resources by size and unselecting the largest resources is a quick way to reduce the size of a the GDRS but still have access to most of the resources.
Once you have a GDRS set up, run the application again whenever you want to update existing datasets or add additional datasets. You can even keep your data current by scheduling automatic updates to run gdrsmanager.exe through a bat file. For your reference, a template bat file gdrsmanager_console.bat is included in the application download. Just make sure to update the bat file to include the path to your copy of GDRS Manager, and schedule the bat file to run as desired.
The application download includes a comprehensive help document, which you can also access separately here:
gdrsmanager_quicklayers_Pro_help.pdf
gdrsmanager_quicklayers_help.pdf (ArcMap)
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This GIS layer contains the boundaries of the unincorporated county and incorporated cities within the state of California. The initial dataset was first published on October 20, 2021, and was based on the State Board of Equalization's tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax jurisdictions. The boundaries are continuously being revised when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions for the purpose of determining sales and use tax areas and should not be used to determine precise city or county boundary line locations. COUNTY = county name; CITY = city name or unincorporated territory; COPRI = county number followed by the 3-digit city primary number used in the California State Board of Equalization's 6-digit tax rate area numbering system (for the purpose of this map, unincorporated areas are assigned "000" to indicate that the area is not within a city).
DIVA-GIS's admin0 file of Gabon
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘2019 CT Data Catalog (GIS)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/168eaac6-5f52-4015-be99-93031db2fd0d on 26 January 2022.
--- Dataset description provided by original source is as follows ---
Catalog of high value data inventories produced by Connecticut executive branch agencies and compiled by the Office of Policy and Management, updated in 2019. This catalog contains information on high value GIS data only. A catalog of high value non-GIS data may be found at the following link: https://data.ct.gov/Government/2019-CT-Data-Catalog-Non-GIS-/f6rf-n3ke
As required by Public Act 18-175, executive branch agencies must annually conduct a high value data inventory to capture information about the high value data that they collect.
High value data is defined as any data that the department head determines (A) is critical to the operation of an executive branch agency; (B) can increase executive branch agency accountability and responsiveness; (C) can improve public knowledge of the executive branch agency and its operations; (D) can further the core mission of the executive branch agency; (E) can create economic opportunity; (F) is frequently requested by the public; (G) responds to a need and demand as identified by the agency through public consultation; or (H) is used to satisfy any legislative or other reporting requirements.
This dataset was last updated 2/3/2020 and will continue to be updated as high value data inventories are submitted to OPM.
The 2018 high value data inventories for Non-GIS and GIS data can be found at the following links: CT Data Catalog (Non GIS): https://data.ct.gov/Government/CT-Data-Catalog-Non-GIS-/ghmx-93jn/ CT Data Catalog (GIS): https://data.ct.gov/Government/CT-Data-Catalog-GIS-/p7we-na27 Less
--- Original source retains full ownership of the source dataset ---
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The GIS database has been developed by under the Small Hydropower Mapping and Improved Geospatial Electrification Planning in Indonesia Project [Project ID: P145273]. The scope of the project was to facilitate and improve the planning and investment process for small hydro development both grid and isolated systems through: building up a central database on smal hydro at national scale and validating the mapping of small hydro in NTT, Maluku, Maluku Utara and Sulawesi improved electrification planning by integrating small hydro potential for the provinces of NTT, Maluku, Maluku Utara and Sulawesi into the planning process. Please refer to the country project page for additional outputs and reports: https://www.esmap.org/re-mapping/indonesia The GIS database contains the following datasets: SHP(promising sites) Admin Divisions Topomas_grid Rivers, Geology Forest_areas Roads RainfallGauges RunoffGauges ElectricSystem, each accompanied by a metadata file. Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Indonesia Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/indonesia-small-hydro-gis-database-2017"
DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this site, please visit https://hub.arcgis.com/admin/
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
General Mills reported $871.4M in Selling and Administration Expenses for its fiscal quarter ending in May of 2025. Data for General Mills | GIS - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last July in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘2018 CT Data Catalog (Non GIS)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/fe457197-5afe-4a20-a131-1bdcf9bd8ace on 26 January 2022.
--- Dataset description provided by original source is as follows ---
Catalog of high value data inventories produced by Connecticut executive branch agencies and compiled by the Office of Policy and Management. This catalog does not contain information about high value GIS data, which is compiled in a separate data inventory at the following link: https://data.ct.gov/Government/CT-Data-Catalog-GIS-/p7we-na27
As required by Public Act 18-175, executive branch agencies must annually conduct a high value data inventory to capture information about the high value data that they collect.
High value data is defined as any data that the department head determines (A) is critical to the operation of an executive branch agency; (B) can increase executive branch agency accountability and responsiveness; (C) can improve public knowledge of the executive branch agency and its operations; (D) can further the core mission of the executive branch agency; (E) can create economic opportunity; (F) is frequently requested by the public; (G) responds to a need and demand as identified by the agency through public consultation; or (H) is used to satisfy any legislative or other reporting requirements.
This dataset was last updated 3/4/2019 and will continue to be updated as high value data inventories are submitted to OPM.
--- Original source retains full ownership of the source dataset ---
DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this site, please visit https://hub.arcgis.com/admin/
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘PLACES: County Data (GIS Friendly Format), 2021 release’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e128e2f2-02af-4605-81aa-97ebdb8b2fc8 on 12 February 2022.
--- Dataset description provided by original source is as follows ---
This dataset contains model-based county-level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7
--- Original source retains full ownership of the source dataset ---
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘2019 CT Data Catalog (Non GIS)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/63dbeae9-0f9d-41d7-9ad9-edc2e4fdea74 on 26 January 2022.
--- Dataset description provided by original source is as follows ---
Catalog of high value data inventories produced by Connecticut executive branch agencies and compiled by the Office of Policy and Management, updated in 2019. This catalog does not contain information about high value GIS data, which is compiled in a separate data inventory at the following link: https://data.ct.gov/Government/2019-CT-Data-Catalog-GIS-/kr39-sdfm
As required by Public Act 18-175, executive branch agencies must annually conduct a high value data inventory to capture information about the high value data that they collect.
High value data is defined as any data that the department head determines (A) is critical to the operation of an executive branch agency; (B) can increase executive branch agency accountability and responsiveness; (C) can improve public knowledge of the executive branch agency and its operations; (D) can further the core mission of the executive branch agency; (E) can create economic opportunity; (F) is frequently requested by the public; (G) responds to a need and demand as identified by the agency through public consultation; or (H) is used to satisfy any legislative or other reporting requirements.
This dataset was last updated 2/6/2020 and will continue to be updated as high value data inventories are submitted to OPM.
The 2018 high value data inventories for Non-GIS and GIS data can be found at the following links: CT Data Catalog (Non GIS): https://data.ct.gov/Government/CT-Data-Catalog-Non-GIS-/ghmx-93jn/ CT Data Catalog (GIS): https://data.ct.gov/Government/CT-Data-Catalog-GIS-/p7we-na27
--- Original source retains full ownership of the source dataset ---
DIVA-GIS's admin1 file of Equatorial Guinea
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Department of Recreation and Parks' GIS Map of Park Boundaries’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/1b7e59b2-a5cb-4ba0-bb8e-bc4ef8c45007 on 12 February 2022.
--- Dataset description provided by original source is as follows ---
The Department of Recreation and Parks' GIS map of park boundaries in the City of Los Angeles.
--- Original source retains full ownership of the source dataset ---
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Sidewalk Café Regulations GIS: Shapefile’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f8b1012f-530d-4cf3-a7f6-ae549b76f520 on 13 February 2022.
--- Dataset description provided by original source is as follows ---
This feature class is a spatial representation of the Sidewalk Cafe regulations in the New York City Zoning Resolution, Chapter 1, Article 4.”
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
--- Original source retains full ownership of the source dataset ---
The Town of Apex Geographic Information Services or GIS (the “Town”) makes no representations, warranties or guarantees as to the accuracy and completeness of this information and/or GIS data, and the Town is not responsible for any errors or omissions concerning the content and positional accuracy of such information and GIS data. The user must consult the primary sources from which the Town’s GIS has compiled this dataset or product. Specific questions pertaining to the accuracy and/or actual location of any feature, object or item depicted on this map, contained on a CD, stored on a FTP site, or contained in any specific GIS dataset must be directed to the GIS Administrator or other responsible departmental authority. Any general concerns about policy and procedures regarding the distribution of this GIS information should be directed to the Construction Management Director or the Town Manager. Thank you for your consideration.