This service shows the ratio of persons aged 0 to 14 and 65 and over (children and seniors) versus persons aged 15 to 64 (working-age) by census division. The data is a custom extraction from the 2016 Census - 100% data.This data pertains to the total population by age. 'Age' refers to the age at last birthday before the reference date, that is, before May 10, 2016. For additional information refer to 'Age' in the 2016 Census Dictionary.For additional information refer to 'Age' in the 2016 Census Dictionary.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.

This service shows the ratio of persons aged 0 to 14 and 65 and over (children and seniors) versus persons aged 15 to 64 (working-age) by census subdivision. The data is a custom extraction from the 2016 Census - 100% data.This data pertains to the total population by age. 'Age' refers to the age at last birthday before the reference date, that is, before May 10, 2016. For additional information refer to 'Age' in the 2016 Census Dictionary.For additional information refer to 'Age' in the 2016 Census Dictionary.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census subdivision” web service, accessible in the data resources section below.

Landsat-derived forest age for Canada 2022Satellite-based forest age map for 2022 across Canada's forested ecozones at a 30-m spatial resolution. Remotely sensed data from Landsat (disturbances, surface reflectance composites, forest structure) and MODIS (Gross Primary Production) are utilized to determine age. Age can be determined where disturbance can be identified directly (disturbance approach) or inferred using spectral information (recovery approach) or using inverted allometric equations to model age where there is no evidence of disturbance (allometric approach). The disturbance approach is based upon satellite data and mapped changes and is the most accurate. The recovery approach also avails upon satellite data plus logic regarding forest succession, with an accuracy that is greater than pure modeling. Given the lack of widespread recent disturbance over Canada's forests, the allometric approach is required over the greatest area (86.6%). Using information regarding realized heights and growth and yield modeling, ages are estimated where none are otherwise possible. Trees of all ages are mapped, with trees >150 years old combined in an - old tree - category. This product was developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS).See Maltman et al. (2023) for an overview of the methods, data, image processing, as well as information on agreement assessment using Canada's National Inventory (NFI). Maltman, J.C., Hermosilla, T., Wulder, M.A., Coops, N.C., White, J.C., 2023. Estimating and mapping forest age across Canada's forested ecosystems. Remote Sensing of Environment 290, 113529. ( Maltman et al. 2023).

Landsat-derived forest age for Canada 2022Satellite-based forest age map for 2022 across Canada's forested ecozones at a 30-m spatial resolution, developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Remotely sensed data from Landsat (disturbances, surface reflectance composites, forest structure) and MODIS (Gross Primary Production) are utilized to determine age. Age can be determined where disturbance can be identified directly (disturbance approach) or inferred using spectral information (recovery approach) or using inverted allometric equations to model age where there is no evidence of disturbance (allometric approach). The disturbance approach is based upon satellite data and mapped changes and is the most accurate. The recovery approach also avails upon satellite data plus logic regarding forest succession, with an accuracy that is greater than pure modeling. Given the lack of widespread recent disturbance over Canada's forests, the allometric approach is required over the greatest area (86.6%). Using information regarding realized heights and growth and yield modeling, ages are estimated where none are otherwise possible. Trees of all ages are mapped, with trees >150 years old combined in an - old tree - category.See Maltman et al. (2023) for an overview of the methods, data, image processing, as well as information on agreement assessment using Canada's National Inventory (NFI). Maltman, J.C., Hermosilla, T., Wulder, M.A., Coops, N.C., White, J.C., 2023. Estimating and mapping forest age across Canada's forested ecosystems. Remote Sensing of Environment 290, 113529. ( Maltman et al. 2023).

This dataset defines school attendance boundaries by school, grade level, and program. Each record represents a specific school boundary that defines the area from which students are eligible to attend a school, based on grade level and program type.A single school may have multiple boundaries depending on the grades served and the educational programs offered.Data Fields:The dataset includes the following fields:• DistrictID - Unique identifier for the school district• SchoolID - Unique identifier for the school • SchoolName - Official name of the school• SchBounId - Unique identifier within the district for the school boundary• SchBounDes - Boundary description• Program - Educational program associated with the boundary• Grade - Grade or range of grades served by the boundaryAdditional Notes:• One school can be associated with multiple boundary records.• Boundaries may differ by grade level, program type, or both.• This school boundary dataset is provided “as is” and is intended for general informational purposes only. While reasonable efforts are made to ensure accuracy, the data may not reflect the most current school boundaries. School attendance areas are subject to change. The applicable school district is the final authority on all school boundary determinations.

Surficial geologic units are unconsolidated materials overlying bedrock. The dataset represents a general description of the stratigraphy and geology, including geologic unit thickness, morphology, age and rank. It features a list of the geologic unit names and types of sediment in the hydrogeological unit. While the preferred format to deliver this data is by using a shapefile and its linked attributes, this dataset can be delivered also by providing link to external data which should have at least the same properties or also by joining a georeferenced image of the map.

This dataset was created to provide a spatial dataset of the school divisions within the province of Manitoba.This polygon layer depicts official boundaries of the Manitoba School Divisions as per Director of Surveys (DoS) plans. Each DoS number can be found in the field "source". Boundaries are approved by both Manitoba Education and the Director of Surveys of Manitoba. Ward boundaries, schools and the following school divisions are not included in this dataset: Funded Independent,  Non-funded Independent,  First Nations,  Institutional schools, and  The Division Scolaire franco-manitobaine. This  polygon layer is symbolized by the School Division Names in the field SchoolDiv.The dataset includes the following fields:Alias (Field Name): Description of fieldFID (FID): Identification numberOBJECTID (OBJECTID): Object IDShape Length (Shape_Leng): Length of polygonShape Area (Shape_Area): Area of polygon shapeSchool Division Name (School_Div): Division Name.DoS Source Number (SOURCE): Director of Surveys (DoS) plan number.Website (WEBSITE): Division website address (if available).

A list of all Public Schools Branch and Commission scolaire de langue française schools.

Point feature layer showing locations of public schools in Manitoba that offer the French Immersion Program.Point feature layer showing locations of public schools in Manitoba that offer the French Immersion Program. This is an inclusive program intended for all students with various abilities and needs whose first language is not French. The goal of the Program is to develop proud, confident, engaged, plurilingual global citizens. For more information visit Manitoba Advanced Education, Skills and Immigration. Fields included (Alias (Field Name): Field description) SCHOOL_FR_NAME (SCHOOL_FR_NAME): Name of the school in French SCHOOL_EN_PHONE_NBR (SCHOOL_EN_PHONE_NBR): Phone number for the school SCHOOL_FR_PHONE_NBR (SCHOOL_FR_PHONE_NBR): Phone number for the school, in French format DIV_NAME (DIV_NAME): Name of the school division DIV_FR_NAME (DIV_FR_NAME): Name of the school division in French DIV_EN_PHONE_NBR (DIV_EN_PHONE_NBR): Phone number for the division DIV_FR_PHONE_NBR (DIV_FR_PHONE_NBR): Phone number for the division, in French format SCHOOL_ADDR_LINE1 (SCHOOL_ADDR_LINE1): Street address of school SCHOOL_ADDR_LINE2 (SCHOOL_ADDR_LINE2): Second line, if required, of street address SCHOOL_FR_ADDR_LINE1 (SCHOOL_FR_ADDR_LINE1): Street address of school in French SCHOOL_FR_ADDR_LINE2 (SCHOOL_FR_ADDR_LINE2): Second line, if required, of street address in French SCHOOL_CITY_NAME (SCHOOL_CITY_NAME): Name of the city or town that the school is located in SCHOOL_POSTAL_CODE (SCHOOL_POSTAL_CODE): Postal code of the school TRACKS (TRACKS): This field indicates the delivery model used by the school; either single track or dual track MIDDLE_IM (MIDDLE_IM): This field indicates whether the school has a grade 4 entry point LATE_IM (LATE_IM): This field indicates whether the school has a grade 6 or 7 entry point  SCHOOL_LOW_GRADE_ENG (SCHOOL_LOW_GRADE_ENG): The lowest grade offering the Program SCHOOL_LOW_GRADE_FR (SCHOOL_LOW_GRADE_FR): The lowest grade, in French, offering the Program SCHOOL_HIGH_GRADE (SCHOOL_HIGH_GRADE): The highest grade offering the Program GRADE_LIST_EN (GRADE_LIST_EN): Comma separated list of grades available in the Program GRADE_LIST_FR (GRADE_LIST_FR): Comma separated list of grades available in the Program, in French Latitude (Latitude): Latitudinal coordinate of the school Longitude (Longitude): Longitudinal coordinate of the school

The Yukon Geological Survey (YGS) has compiled over 195 surficial geology maps into a standardized GIS format, providing approximately 80% coverage of the territory. The maps range in scales from 1:250,000 to 1:10,000 with spatial overlap between scales. The original maps were produced by various agencies, including the Geological Survey of Canada, YGS, Yukon Government, universities, and the City of Whitehorse.All original feature descriptions have been preserved and also converted to standardized values using the Yukon terrain classification system. The compilation includes 4 GIS datasets and supporting documents available for download via [YGS integrated data system](https://data.geology.gov.yk.ca/Compilation/33) (YGSIDS) or GeoYukon. A .lyr file is [provided](https://data.geology.gov.yk.ca/Compilation/33) to symbolize feature classes and differentiate overlapping maps at different scales. Additionally, there is a surficial geology map index.The polygon attributes captured include surficial material, texture, age, surface expression, and geomorphological processes.Line features include geological contacts, glacial limits, glacial landforms (cirques, arêtes, eskers, meltwater channels, moraines), and non-glacial landforms (faults, lineaments, landslides, escarpments).Point features include field station, fossil and sample locations, glacial landforms (erratics, kames, kettles, drumlins, flutings), permafrost features (pingos, palsas, patterned ground, thermokarst depressions), and other non-glacial landforms (landslides, tors).The map index provides information on each map publication such as author, map title, map scale, publisher.These data are valuable for land-use applications in the territory, including: mineral and placer exploration, geotechnical engineering, infrastructure planning, granular resource assessments, permafrost modeling, agricultural assessments, forest management, and biophysical or ecological land classification.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)