The Sexual Violence Prevention Community Mobilization Program is a community-based program designed to mobilize and build stronger community responses to support victims/survivors of sexual violence and to encourage citizens of all ages to take a role in preventing and responding to sexual violence, in a trauma-informed, youth-centered and culturally relevant way.

Most of these events involved community evacuations, significant structural loss and/or involvement of a Ministry of Natural Resources (MNR) Emergency Response Officer. Events include those assigned to MNR by an Order-In-Council under the Emergency Management and Civil Protection Act as well as events where MNR provided requested emergency response assistance. These events fall into one of ten type categories: * dam failure * drought /low water * erosion * flood * forest fire * soil and bedrock instability * Petroleum Resource Center event * EMO requested assistance * continuity of operations event * other requested assistance This product requires the use of geographic information system (GIS) software.

As the COVID-19 pandemic spreads, researchers and health professionals have noted large differences in the impact that the infection has on individuals. Whereas some remain asymptomatic and unaware of their infection or experience only mild symptoms, others require hospitalization, ventilation, and may even die. As research evidence accumulates, both nationally and internationally, it appears that certain health characteristics, such as obesity or the presence of chronic conditions, increase the risk of severe outcomes among those who are infected with the novel coronavirus.To better understand which segments of the Canadian population may be vulnerable to severe health outcomes related to COVID-19, Statistics Canada and the Public Health Agency of Canada have worked collaboratively to build an index of underlying health conditions in the adult household population. Using information from the 2017/2018 Canadian Community Health Survey, new data tables released today estimate the proportion of the adult household population who may be at greater risk of severe health outcomes related to COVID-19 due to the presence of underlying health conditions.

DEPRECATED: During a declared emergency event, this dataset will include the communities affected by Evacuation Order Orders and Alerts, which represents the populated communities and First Nations in the province, and their current evacuation status.

Table containing information relevant to animal disease investigations in Manitoba from 2012 to present.This table contains information relevant to animal disease investigations in Manitoba from 2012 to present, conducted by the Chief Veterinary Office (CVO). Information includes year, number of sites, number of linked sites, animal species, disease types and results. Updated on a weekly basis.  It is important that users are aware of the following caveats when reviewing data presented in the Animal Disease Investigations Dashboard: 1. Each investigation can have one or more cases involved depending on the number of herds or animals exposed.  Not all disease investigations are handled the same due to a partnership approach.  Diseases can be detected via surveillance, ad hoc reporting, or through other programs. 2. Rabies is a separate program. Please see Manitoba's Provincial Rabies Management Program for data related to Rabies Surveillance.3. Certain zoonotic diseases, such as salmonella or influenza, are also captured in more detail through other means.  The total occurrence of a zoonotic disease represented in this dashboard reflects occurrences where risks or exposures were deemed significant enough to warrant further investigation.  4. Historically, One Health Investigations that were predominantly focused on Public Health issues rather than Animal Health concerns were not captured in this system and will be underrepresented here. Fields included ( Alias (Field Name): Field description.) Year (Year): Year of the disease investigation Number of Sites (Number_of_Sites): Number of investigation sites Number of Linked Sites (Number_of_Linked_Sites): Number of sites linked to investigation sites Species/Class (Species__Class): Group of animal species Disease Type (Disease_Type): The type of disease that is being investigated Result (Result): The outcome (positive/negative) for the corresponding animal disease investigation

Modeled data showing the likely distribution of Killer Whales. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

The Social Vulnerability component of the National Human Settlement Layer (NHSL) includes information about broad spatial patterns of social vulnerability at the neighbourhood scale, and indicators about the capacities for a community to withstand and recover from disaster events based on intrinsic characteristics of housing, family structure, individual autonomy and financial agency.Information in the model provides a means of comparing relative levels of social vulnerability from one region to another across Canada and helps to identify specific dimensions within a community that contributes to their relative levels of social vulnerability. This information is not intended for site-specific study, but instead to understand broad patterns of social characteristics and vulnerability across multiple census dissemination areas.

This table contains information about 11 animal types associated with assigned cases in the Manitoba Animal Welfare Program.This table contains information about animal types, grouped into 11 categories, associated with assigned cases in the Manitoba Animal Welfare Program for each year, starting in 2016, to the most recent quarter. This data is populated by the Provincial Animal Welfare Database for the Manitoba Animal Welfare Program. It is displayed in the Manitoba Animal Welfare Program – Animal Types chart. The table is updated on a quarterly basis. Fields included [Alias (Field Name): Field description] SpeciesStatsGrouping (SpeciesStatsGrouping): Includes one of the possible 11 animal type groups associated with each assigned case (e.g., Avian, Bison, Bovine) Year (Year): Includes the year, beginning in 2016, to the current year (e.g., 2016, 2017, 2018) Month (Month): Includes the numeric value of all months in a calendar year (e.g., 1, 2, 3) Quarter (Quarter): Includes the numeric values of all quarters in a calendar year (e.g., 1, 2, 3, 4), where quarter 1 corresponds with January, February and March, quarter 2 corresponds with April, May and June, quarter 3 corresponds with July, August and September and quarter 4 corresponds with October, November and December YQ (YQ): Includes the year and quarter of the most recent 12 quarters (e.g., 2021 Q1, 2021 Q2 )

This product provides population counts for 2001 and 2016 for 105 census subdivisions (CSDs) for which the forest sector is a major source of employment income—defined by Natural Resources Canada as 20% or more of total CSD income excluding government transfers. These files were produced by Statistics Canada, Environment, Energy and Transportation Statistics Division, 2018, special tabulation from the 2001 and 2016 Census of Population; Natural Resources Canada, Canadian Forest Services, Economic Analysis Division; Canada’s National Forest Inventory (NFI), 2016, Grouped kNN Map layers, http://tree.pfc.forestry.ca (accessed April 7, 2017). Data from the 2016 Census of Population were used to identify the 105 census subdivisions. Note that changes occur to the number and the boundaries of CSDs between censuses. Adjustments were made to CSD boundaries to account for changes.Some data were suppressed for data quality reasons or to meet the confidentiality requirements of the Statistics Act. Income data were available for 3,675 of 5,162 CSDs. This analysis may therefore underreport the total number of communities for which the forest sector is a major economic driver. Note that a decline in the percentage of forest sector income may be due to a decrease in forest sector income or an increase in income from other sources. The reference period for income data in the Census of Population is the calendar year prior to the census.The forest sector includes North American Industry Classification codes 113 – forestry and logging, 1153 – support activities for forestry and logging, 321 – wood product manufacturing and 322 – paper product manufacturing.

Map of the number of individuals (15 years and over) as identified by the first official language spoken who, during the week of Sunday, May 1 to Saturday, May 7, 2016, were without paid work or without self-employment work and were available for work and either: (a) had actively looked for paid work in the past four weeks; or (b) were on temporary lay-off and expected to return to their job; or (c) had definite arrangements to start a new job in four weeks or less. Data is based on the 2016 Census of Canada, 25 % sample, the universe is the population 15 years and over.