Contains 2 datasets: * lower and single tier municipalities * upper tier municipalities and districts.

UPPER TIER - An upper-tier municipality means a municipality of which two or more lower-tier municipalities form part for municipalities purposes. Municipal responsibilities set out under the Municipal Act and other Provincial legislation are split between the upper tier and lower tier municipalities.
DISTRICT - Territorial district means a geographic area in northern Ontario, which is described in the Territorial Division Act and is composed of municipalities, geographic townships, and unsurveyed territory. Additional Time Period Information: Updates are done as required. Changes may occur as a result of correction of errors or improvement in positional accuracy, at any time.

Additional Documentation

Municipal Boundary - Upper Tier and District - Data Description (PDF) (Document Update in Progress) Municipal Boundary - Upper Tier and District - Documentation (Word)

Status
On going: data is being continually updated

Maintenance and Update Frequency Annually: data is updated every year

Contact Paul McKenzie, Community Services I&IT Cluster, Paul.McKenzie@ontario.ca

A Township is a land subdivision in Ontario. This information was captured through the Ontario Base Mapping Program, is maintained by the Ministry of Natural Resources and distributed through Geospatial Ontario (GEO) Warehouse. The spatial accuracy for some of the townships was improved through the Ontario Parcel, Township Realignment and Township Improvement projects. Improvements may include: * road allowance widths * spatial changes to better represent where the township boundaries are located * more consistent concession names Materials used to improve the location of township lines may include: * township Improvement plots * survey information i.e. retracements * original township plans * surveys notes * the physical features e.g. fence lines in the corporate editing environment * water bodies * GPS Ontario Road Network geometry This product requires the use of GIS software. * [GEO]: Geospatial Ontario * [GIS]: geographic information system

Geographic Information System (GIS) data with the following mapping layers from the Greenbelt Plan:

• outer boundaries
• protected countryside and urban river valley designations
• specialty crop areas (Niagara tender fruit, grape area and Holland Marsh)
• settlement areas (towns, villages and hamlets)
• river valley connections.

The data also contains associated policy designation mapping.

This dataset details the Municipal boundaries for the Region of Niagara. Modifications have been made to the Boundary file (Q4 2017) to reflect legal descriptions as contained in the Municipal Act as well as changes to the shoreline in the City of Port Colborne. The dataset extent corresponds to the Niagara Region. Attributes were updated April 2018 to include 2016 Statistics Canada census and 2014 number of electors. The spatial data was updated Q1 2012 and the table has been revised to include results from the 2010 election and 2011 Statistics Canada Census.

The Ontario Parcel is commercially licensed data with restricted usage.The parcels are managed by the Municipal Property Assessment Corporation (assessment), Teranet Enterprises Inc. (ownership), and the Ontario Government (Crown lands). The Ontario Parcel dataset is a source of assessment, ownership and Crown parcel mapping that can be used for assessment, taxation, land title/registration, as well as land use management and business planning.The Ontario Parcel (OP) consists of three data classes in geodatabase format and supporting information in CAD format:Assessment ParcelOwnership ParcelCrown ParcelOntario Parcel - Supporting Information (CAD format).See Ontario Parcel Guide (coming soon) for a comparison of the products. Public viewing of the standard Ontario Parcel - Assessment Parcel is available through the following web applications:Make a Topographic MapMake a Map: Natural Heritage AreasAgricultural Information Atlas (AgMaps).Licence EligibilityThe Ontario Parcel licensed through LIO is for non-commercial use. To receive data from Land Information Ontario (LIO), the organization must be eligible and sign an Ontario Parcel licensing agreement (MNRF General List User Licence Agreement).Eligible to apply: all Ontario ministries; agencies, boards and commissions; Indigenous communities; conservation authorities; non-profit organizations and others.Ontario Parcel data is available at no cost to those eligible to receive the data. Eligible organizations should contact Ontario Parcel at ontarioparcel@ontario.ca.Corporations and for-profit entities should contact:Municipal Property Assessment Corporation (MPAC)Teranet Enterprises, Inc. - Ontario ParcelTerms of UseOntario Parcel geometry represents an index of property locations, not a legal representation of property boundaries.Ontario Parcel is an indication that a boundary may be in the general area.The data should not be used for legal purposes. The data should not be used to define boundaries on the ground or be relied on to calculate areas of properties (unless for crude estimates) or depths or frontages of lots. The data is not a substitute for a legal survey and should not be used for applications that require accurate positional data.Additional DocumentationOntario Parcel FAQ (PDF)Assessment Parcel - Data Description (PDF)Assessment Parcel - Documentation (Word)Crown Parcel - Data Description (PDF)Crown Parcel - Documentation (Word)Ownership Parcel - Data Description (PDF)Ownership Parcel - Documentation (Word)StatusOn going: data is being continually updatedMaintenance and Update FrequencyFortnightly: data is updated every two weeksContactOntario Parcel, ontarioparcel@ontario.ca

Please note that this dataset is not an official City of Toronto land use dataset. It was created for personal and academic use using City of Toronto Land Use Maps (2019) found on the City of Toronto Official Plan website at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/official-plan-maps-copy, along with the City of Toronto parcel fabric (Property Boundaries) found at https://open.toronto.ca/dataset/property-boundaries/ and Statistics Canada Census Dissemination Blocks level boundary files (2016). The property boundaries used were dated November 11, 2021. Further detail about the City of Toronto's Official Plan, consolidation of the information presented in its online form, and considerations for its interpretation can be found at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/ Data Creation Documentation and Procedures Software Used The spatial vector data were created using ArcGIS Pro 2.9.0 in December 2021. PDF File Conversions Using Adobe Acrobat Pro DC software, the following downloaded PDF map images were converted to TIF format. 9028-cp-official-plan-Map-14_LandUse_AODA.pdf 9042-cp-official-plan-Map-22_LandUse_AODA.pdf 9070-cp-official-plan-Map-20_LandUse_AODA.pdf 908a-cp-official-plan-Map-13_LandUse_AODA.pdf 978e-cp-official-plan-Map-17_LandUse_AODA.pdf 97cc-cp-official-plan-Map-15_LandUse_AODA.pdf 97d4-cp-official-plan-Map-23_LandUse_AODA.pdf 97f2-cp-official-plan-Map-19_LandUse_AODA.pdf 97fe-cp-official-plan-Map-18_LandUse_AODA.pdf 9811-cp-official-plan-Map-16_LandUse_AODA.pdf 982d-cp-official-plan-Map-21_LandUse_AODA.pdf Georeferencing and Reprojecting Data Files The original projection of the PDF maps is unknown but were most likely published using MTM Zone 10 EPSG 2019 as per many of the City of Toronto's many datasets. They could also have possibly been published in UTM Zone 17 EPSG 26917 The TIF images were georeferenced in ArcGIS Pro using this projection with very good results. The images were matched against the City of Toronto's Centreline dataset found here The resulting TIF files and their supporting spatial files include: TOLandUseMap13.tfwx TOLandUseMap13.tif TOLandUseMap13.tif.aux.xml TOLandUseMap13.tif.ovr TOLandUseMap14.tfwx TOLandUseMap14.tif TOLandUseMap14.tif.aux.xml TOLandUseMap14.tif.ovr TOLandUseMap15.tfwx TOLandUseMap15.tif TOLandUseMap15.tif.aux.xml TOLandUseMap15.tif.ovr TOLandUseMap16.tfwx TOLandUseMap16.tif TOLandUseMap16.tif.aux.xml TOLandUseMap16.tif.ovr TOLandUseMap17.tfwx TOLandUseMap17.tif TOLandUseMap17.tif.aux.xml TOLandUseMap17.tif.ovr TOLandUseMap18.tfwx TOLandUseMap18.tif TOLandUseMap18.tif.aux.xml TOLandUseMap18.tif.ovr TOLandUseMap19.tif TOLandUseMap19.tif.aux.xml TOLandUseMap19.tif.ovr TOLandUseMap20.tfwx TOLandUseMap20.tif TOLandUseMap20.tif.aux.xml TOLandUseMap20.tif.ovr TOLandUseMap21.tfwx TOLandUseMap21.tif TOLandUseMap21.tif.aux.xml TOLandUseMap21.tif.ovr TOLandUseMap22.tfwx TOLandUseMap22.tif TOLandUseMap22.tif.aux.xml TOLandUseMap22.tif.ovr TOLandUseMap23.tfwx TOLandUseMap23.tif TOLandUseMap23.tif.aux.xml TOLandUseMap23.tif.ov Ground control points were saved for all georeferenced images. The files are the following: map13.txt map14.txt map15.txt map16.txt map17.txt map18.txt map19.txt map21.txt map22.txt map23.txt The City of Toronto's Property Boundaries shapefile, "property_bnds_gcc_wgs84.zip" were unzipped and also reprojected to EPSG 26917 (UTM Zone 17) into a new shapefile, "Property_Boundaries_UTM.shp" Mosaicing Images Once georeferenced, all images were then mosaiced into one image file, "LandUseMosaic20211220v01", within the project-generated Geodatabase, "Landuse.gdb" and exported TIF, "LandUseMosaic20211220.tif" Reclassifying Images Because the original images were of low quality and the conversion to TIF made the image colours even more inconsistent, a method was required to reclassify the images so that different land use classes could be identified. Using Deep learning Objects, the images were re-classified into useful consistent colours. Deep Learning Objects and Training The resulting mosaic was then prepared for reclassification using the Label Objects for Deep Learning tool in ArcGIS Pro. A training sample, "LandUseTrainingSamples20211220", was created in the geodatabase for all land use types as follows: Neighbourhoods Insitutional Natural Areas Core Employment Areas Mixed Use Areas Apartment Neighbourhoods Parks Roads Utility Corridors Other Open Spaces General Employment Areas Regeneration Areas Lettering (not a land use type, but an image colour (black), used to label streets). By identifying the letters, it then made the reclassification and vectorization results easier to clean up of unnecessary clutter caused by the labels of streets. Reclassification Once the training samples were created and saved, the raster was then reclassified using the Image Classification Wizard tool in ArcGIS Pro, using the Support...

The map title is Toronto. Tactile map scale. 1.6 centimetres = 5 kilometres North arrow pointing to the north. Toronto and surrounding area. Lake Ontario is shown with a wavy symbol to indicate water. Main roads, routes. 7, 10, 400, 401, 407, QEW. A broken line represents a boundary line outlining Toronto city limits. A circle with a dot in the middle indicates a bus station located in the south of the city. A circle with a cross in it indicates Union Station, a Via Rail station located in the south of the city. A circle with the shape of an airplane in it indicates Pearson International Airport located west of the city limits. A circle with the shape of an airplane in it indicates the Toronto Island Airport located on an island south of the city. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

This is the Zenodo archive for the manuscript "Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada" (Mucaki EJ, Shirley BC and Rogan PK. F1000Research 2021, 10:1312, DOI: 10.12688/f1000research.75891.1). This study aimed to produce community-level geo-spatial mapping of patterns and clusters of symptoms, and of confirmed COVID-19 cases, in near real-time in order to support decision-making. This was accomplished by area-to-area geostatistical analysis, space-time integration, and spatial interpolation of COVID-19 positive individuals. This archive will contain data and image files from this study, which were too numerous to be included in the manuscript for this study. It also provides all program files pertaining to the Geostatistical Epidemiology Toolbox (Geostatistical analysis software package to be used in ArcGIS), as well as all other scripts described in this manuscript and other software developed (cluster, outlier, streak identification and pairing)..

We also provide a guide which provides a general description of the contents of the four sections in this archive (Documentation_for_Sections_of_Zenodo_Archive.docx). If you have any intent to utilize the data provided in Section 3, we greatly advise you to review this document as it describes the output of all geostatistical analyses performed in this study in detail.

Data Files:

Section 1. "Section_1.Tables_S1_S7.Figures_S1_S11.zip"

This section contains all additional tables and figures described in the manuscript "Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada". Additional tables S1 to S7 are presented in an Excel document. These 7 tables provide summary statistics of various geostatistical tests described in the study (“Section 1 – Tables S1-S4”) and lists all identified single and paired high-case cluster streaks (“Section 1 – Tables S5-S7”). This section also contains 11 additional figures referred to in the manuscript (“Section 1 – Figures S1-S11”) both individually and within a Word document which describes them.

Section 2. "Section_2.Localized_Hotspot_Lists.zip"

All localized hotspots (identified through kriging analysis) were catalogued for each municipality evaluated (Hamilton, Kitchener/Waterloo, London, Ottawa, Toronto, Windsor/Essex). These files indicate the FSA in which the hotspot was identified, the date in which it was identified (utilizing 3-day case data at the postal code level), the amount of cases which occurred within the FSA within these 3 dates, the range of cases interpolated by kriging analysis (between 5-10, 10-15, 15-20, 20-25, 25-30, 30-35, 35-40, 40-50, >50), and whether or not the FSA was deemed a hotspot by Gi* relative to the rest of Ontario on any of the three dates evaluated. Please see Section 4 for map images of these localized hotspots.

Section 3. "Section_3.All-Data_Files.Kriging_GiStar_Local_and_GlobalMorans.2020_2021"

Section 3 – All output files from the geostatistical tests performed in this study are provided in this section. This includes the output from Ontario-wide FSA-level Gi* and Cluster and Outlier analyses, and PC-level Cluster and Outlier, Spatial Autocorrelation, and kriging analysis of 6 municipal regions. It also includes kriging analysis of 7 other municipal regions adjacent to Toronto (Ajax, Brampton, Markham, Mississauga, Pickering, Richmond Hill and Vaughan). This section also provides data files from our analyses of stratified case data (by age, gender, and at-risk condition). All coordinates presented in these data files are given in “PCS_Lambert_Conformal_Conic” format. Case values between 1-5 were masked (appear as “NA”).

Section 4. "Section_4.All_Map_Images_of_Geostat_Analyses.zip"

Sets of image files which map the results of our geostatistical analyses onto a map of Ontario or within the municipalities evaluated (Hamilton, Kitchener/Waterloo, London, Ottawa, Toronto, Windsor/Essex) are provided. This includes: Kriging analysis (PC-level), Local Moran's I cluster and outlier analysis (FSA and PC-level), normal and space-time Gi* analysis, and all images for all analyses performed on stratified data (by age, gender and at-risk condition). Kriging contour maps are also included for 7 other municipal regions adjacent to Toronto (Ajax, Brampton, Markham, Mississauga, Pickering, Richmond Hill and Vaughan).

Software:

This Zenodo archive also provides all program files pertaining to the Geostatistical Epidemiology Toolbox (Geostatistical analysis software package to be used in ArcGIS), as well as all other scripts described in this manuscript. This geostatistical toolbox was developed by CytoGnomix Inc., London ON, Canada and is distributed freely under the terms of the GNU General Public License v3.0. It can be easily modified to accommodate other Canadian provinces and, with some additional effort, other countries.

This distribution of the Geostatistical Epidemiology Toolbox does not include postal code (PC) boundary files (which are required for some of the tools included in the toolbox). The PC boundary shapefiles used to test the toolbox were obtained from DMTI (https://www.dmtispatial.com/canmap/) through the Scholar's Geoportal at the University of Western Ontario (http://geo2.scholarsportal.info/). The distribution of these files (through sharing, sale, donation, transfer, or exchange) is strictly prohibited. However, any equivalent PC boundary shape file should suffice, provided it contains polygon boundaries representing postal code regions (see guide for more details).

Software File 1. "Software.GeostatisticalEpidemiologyToolbox.zip"

The Geostatistical Epidemiology Toolbox is a set of custom Python-based geoprocessing tools which function as any built-in tool in the ArcGIS system. This toolbox implements data preprocessing, geostatistical analysis and post-processing software developed to evaluate the distribution and progression of COVID-19 cases in Canada. The purpose of developing this toolbox is to allow external users without programming knowledge to utilize the software scripts which generated our analyses and was intended to be used to evaluate Canadian datasets. While the toolbox was developed for evaluating the distribution of COVID-19, it could be utilized for other purposes.

The toolbox was developed to evaluate statistically significant distributions of COVID-19 case data at Canadian Forward Sortation Area (FSA) and Postal Code-level in the province of Ontario utilizing geostatistical tools available through the ArcGIS system. These tools include: 1) Standard Gi* analysis (finds areas where cases are significantly spatially clustered), 2) spacetime based Gi* analysis (finds areas where cases are both spatially and temporally clustered), 3) cluster and outlier analysis (determines if high case regions are an regional outlier or part of a case cluster), 4) spatial autocorrelation (determines the cases in a region are clustered overall) and, 5) Empirical Bayesian Kriging analysis (creates contour maps which define the interpolation of COVID-19 cases in measured and unmeasured areas). Post-processing tools are included that import these all of the preceding results into the ArcGIS system and automatically generate PNG images.

This archive also includes a guide ("UserManual_GeostatisticalEpidemiologyToolbox_CytoGnomix.pdf") which describes in detail how to set up the toolbox, how to format input case data, and how to use each tool (describing both the relevant input parameters and the structure of the resultant output files).

Software File 2: “Software.Additional_Programs_for_Cluster_Outlier_Streak_Idendification_and_Pairing.zip"

In the manuscript associated with this archive, Perl scripts were utilized to evaluate postal code-level Cluster and Outlier analysis to identify significantly, highly clustered postal codes over consecutive periods (i.e., high-case cluster “streaks”). The identified streaks are then paired to those in close proximity, based on the neighbors of each postal code from PC centroid data ("paired streaks"). Multinomial logistic regression models were then derived in the R programming language to measure the correlation between the number of cases reported in each paired streak, the interval of time separating each streak, and the physical distance between the two postal codes. Here, we provide the 3 Perl scripts and the R markdown file which perform these tasks:

“Ontario_City_Closest_Postal_Code_Identification.pl”

Using an input file with postal code coordinates (by centroid), this program identifies the nearest neighbors to all postal codes for a given municipal region (the name of this region is entered on the command line). Postal code centroids were calculated in ArcGIS using the “Calculate Geometry” function against DMTI postal code boundary files (not provided). Input from other sources could be used, however, as long as the input includes a list of coordinates with a unique label associated with a particular municipality.

The output of this program (for the same municipal region being evaluated) is required for the following two Perl

The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of buildings in the City of London, Ontario.

In this layer, the geographical extent of the City of London is represented by a line.

The Municipal Open Data Map identifies and links to open data portals developed and maintained by cities, municipalities, and regions in Canada. Data covers a variety of topics and categories. For further information about the data available visit the individual open data portal maintained by the appropriate governing authority.

Cities covered include: Edmonton, London, Ottawa, Toronto, Windsor, Niagara Falls, Vancouver, Mississauga, Kamloops, Langley, Nanaimo, North Vancouver, Prince George, Surrey, Medicine Hat, Regina, Burlington, York Region, Montreal, Ville de Quebec/ Quebec City, Sherbrooke, Prince Edward Island, Fredricton, Calgary, Peel Region, Niagara Region, Grande Prairie No. 1, Guelph, Hamilton, Regional District of Noth Okanagan, Red Deer, Saskatoon, Winnipeg, Saanich, City of Waterloo, and Waterloo Region.

This table contains 1392 series, with data for years 1971 - 2011 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (87 items: Abbotsford - Mission (census metropolitan area), British Columbia; Baie-Comeau (census agglomeration), Quebec; Barrie (census metropolitan area), Ontario; Bathurst (census agglomeration), New Brunswick; ...); Area (2 items: Census metropolitan area/census agglomeration; Census metropolitan area-ecosystem/census agglomeration-ecosystem); Land cover and land use (8 items: Total land area; Built-up area, settled; Built-up area, roads; Arable; ...).

The Canada Flood Map inventory shows areas in Canada where a copy of a flood hazard map has been collected by Natural Resources Canada (NRCan). The inventory does not display flood zones or extents, but provides information on how to access these flood hazard maps. Depending on the license and availability status to the public, there may be links for download, along with reference information to the original source and/or data owner. NRCan collaborates with provincial and territorial governments to gather flood hazard maps from provinces, territories, municipalities, and other agencies responsible for flood mapping. The inventory is regularly updated to improve its completeness and accuracy. Disclaimer: The Canada Flood Map (CFM) inventory should not be regarded as the official repository of flood hazard maps in Canada. The inventory does not include all flood hazard maps in Canada and does not always reflect the most recent data sources. The absence of a map in the inventory does not mean that an area has not been mapped. The information provided is not guaranteed to be accurate or complete. Please consult the organization responsible in your province, territory or municipality for the most recent and official information on flood hazard maps. Note: Data and maps in the Inventory can be made available upon request to federal and contributing partners.

The map title is Ontario. Tactile map scale. 2.1 centimetres = 200 kilometres North arrow pointing to the top of the page. Borders of the province of Ontario, shown as dashed and solid lines. The Great Lakes and part of Hudson Bay, shown with a wavy symbol to indicate water. A circle and the city name to show the location of Thunder Bay and Windsor. A filled star and the abbreviation "TO" to show the location of Toronto. An unfilled star and the city name to show the location of Ottawa. Text labels for Hudson Bay, James Bay, Lake Superior, Lake Michigan, Lake Huron, Lake Erie, and the abbreviation LO to indicate Lake Ontario. The word lake is abbreviated as L. The abbreviation "MB" to indicate the province of Manitoba. The abbreviation "QC" to indicate the province of Quebec. The abbreviation "USA" to indicate the neighbouring country, the United States of America. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

Polygon feature layer representing built-up/urbanized areas in the City of Barrie. Relevant fields within the layer include (but not limited to): Description, Type and Area The City of Barrie is situated in the heart of Central Ontario, a premier waterfront community on Lake Simcoe, conveniently located an hour north of Toronto. With a growing population of 143,000 the City of Barrie is the 34th largest city in Canada. Visit barrie.ca for more information or contact Service Barrie at 705-726-4242 or ServiceBarrie@barrie.ca

On October 26, 2022, the 2021 Municipal Benchmarking Network Canada (MBNC) Performance Report was released and represents the 16th year that York Region has participated in this benchmarking program. The report reflects the joint efforts of 12 member municipalities in four provinces across Canada, including five regional governments in Ontario. It includes 167 public measures in 36 service areas. Measures fall under four categories: community impact, service level, efficiency and customer service.In 2021, York Region reported 132 public measures in 26 service areas as dictated by its regional service responsibilities. The measures relate to performance across the Region’s activities and include: roads and transit, wastewater and water, waste management, social housing, emergency shelters, child care, social assistance, emergency medical services (delivered in the Region by Paramedic Services), long-term care, court services, legal, planning and police, as well as a number relating to general government, revenue and other financial benchmarks, and delivering services efficiently.Members use the network to collaborate on creative solutions, often starting with a question like “How can we get a better outcome?”, “How did you tackle this?” or “How did you achieve your success?” Measures are used in budget business cases, departmental work plans and strategies, and Council reports and presentations.MBNC Performance Reports can be found at www.mbncanada.ca

This is a listing of approved landfills in Ontario. Here you will find basic information on Ontario’s landfills including:

• Environmental Compliance Approval (ECA) number
• Ministry of the Environment, Conservation (MECP) region
• MECP district
• client name
• site name
• site address
• site municipality
• operation status (open/closed)

Landfill sites map

This dataset replaces two datasets (large landfills and small landfills) which were last updated in 2014 and contain out of date information.

**Note the size and capacity of landfills are not available at this time but may be made available in future updates to this data. More detailed information may be obtained by contacting the local MECP district office using the link here.

The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of falls in the City of London, Ontario.

United States County data was downloaded 9/28/18 from the 2017 United States Census Bureau's Cartographic Boundary Files and merged with Ontario's County Data created by Ontario Ministry of Natural Resources and hosted by the Great Lakes Aquatic Habitat Framework's administrative boundaries data downloaded 4/15/2014. The merged county data was clipped to counties/municipalities on the Great Lakes' shoreline. Fields:Country: country is listed as either "United States" or "Canada."State/Province: state/province is listed for each Great Lakes' county/municipality. Numerous states have counties with the same name and this is a distinguishing factor.County/Municipality: U.S. counties and Canadian counties/municipalities in Ontario, Canada are identified in this field.Investment Acreage: total available investment acreage by county. Please note that some counties are listed with 0 or minimal protected, restored and enhanced coastal wetland acres that spans from 2010 to now and are shown on the map as, "No Current Data Available." This does not mean that projects have not been completed within a county, but that these projects have not yet been added to our coastal wetlands investments database. Limited Canadian data is available at this time.