Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about cities in Calgary. It has 1 row. It features 3 columns: country, and population.
Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.
The Population and Dwellings data from the 2021 Federal Census covers population in private households by age and gender. For questions, please contact socialresearch@calgary.ca. Please visit Data about Calgary's population for more information.
Population in private households refers to all persons or group of persons who occupy the same dwelling and do not have a usual place of residence elsewhere in Canada or abroad. For census purposes, households are classified into three groups: private households, collective households, and households outside Canada. Unless otherwise specified, all data in census products are for private households only. Population in private households includes Canadian citizens and landed immigrants whose usual place of residence is Canada. Also includes refugee claimants, holders of work and study permits, Canadian citizens and landed immigrants at sea or in port aboard merchant or government vessels, and Canadian citizens away from Canada on military or diplomatic business. Excludes government representatives and military members of other countries and residents of other countries visiting Canada.
Age refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well‑defined reference date).
Gender refers to an individual's personal and social identity as a man, woman, or non‑binary person (a person who is not exclusively a man or a woman). A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport, or driver's licence. A person's gender may change over time. Statistics Canada collected data about transgender and non-binary populations for the first time on the 2021 Census. The category "Men+" includes men (and/or boys), as well as some non-binary persons. The category "Women+" also includes women (and/or girls), as well as some non-binary persons.
This is a one-time load of Statistics Canada federal census data from 2021 applied to the Communities, Wards, and City geographical boundaries current as of 2022 (so they will likely not match the current year's boundaries). Update frequency is every 5 years. Data Steward: Business Unit Community Strategies (Demographics and Evaluation). This dataset is for general public and internal City business groups.
To assist with primary health care planning, Alberta Health has developed a series of reports to provide a broad range of demographic, socio-economic and population health statistics considered relevant to primary health care for communities across the province. These community profiles provide information at the Zone and Local Geographic Area (LGA) level for each of the 132 LGAs in Alberta. Each Profile offers an overview of the current health status of residents in the LGA, indicators of the area's current and future health needs, and evidence as to which quality services are needed on a timely basis to address the area's needs. The profiles are intended to highlight areas of need and provide relevant information to support the consistent and sustainable planning of primary health services.
The City of Calgary has been conducting the annual civic census for over fifty years. This dataset provides the counts of residents and dwelling units including by structure type broken out into community districts for years 1968-1997.
These are the results of 2023 Fall Survey of Calgarians. To see the most recent reports, visit Calgary.ca/citizensatisfaction For detailed information on the variables in this dataset, see the variable metadata.
Methodology The City’s Fall Survey of Calgarians is a telephone survey conducted with a randomly selected sample of Calgarians aged 18 years and older. The survey is conducted on an annual basis. The data are weighted to ensure the overall sample’s quadrant, ward, and age/gender composition reflects that of the actual Calgary population aged 18 or older according to Municipal and Federal Census data. Weights are included in the dataset. The variable metadata contains detailed information on the variables.”
Please use caution, when comparing data sets from previous years and consult the reports for any notable changes to the survey that may impact historical tracking. Further, if merging this data with historical data sets, please ensure that Qlabel and Valuelabel fields align. Given changes to the survey over time, variable and value fields may be inconsistent.
Please be advised that this survey, referenced as "Fall Survey of Calgarians (2023)", was previously known as "Citizen Satisfaction Survey". The name change does not affect the nature or purpose of the survey.
Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This Alberta Official Statistic provides the distribution of Alberta’s population within the 8 economic regions of Alberta for 2011. Alberta is divided into eight economic regions as follows: Lethbridge – Medicine -Hat; Camrose-Drumheller; Calgary; Banff – Jasper – Rocky Mountain House; Red Deer; Edmonton; Athabasca – Grande Prairie – Peace River; and Wood Buffalo – Cold Lake. The economic regions of Calgary and Edmonton account for the largest proportion (69.0%) of Alberta’s population. The remaining six economic regions each accounted for less than 10% of the population.
To assist with primary health care planning, Alberta Health has developed a series of reports to provide a broad range of demographic, socio-economic and population health statistics considered relevant to primary health care for communities across the province. These community profiles provide information at the Zone and Local Geographic Area (LGA) level for each of the 132 LGAs in Alberta. Each Profile offers an overview of the current health status of residents in the LGA, indicators of the area's current and future health needs, and evidence as to which quality services are needed on a timely basis to address the area's needs. The profiles are intended to highlight areas of need and provide relevant information to support the consistent and sustainable planning of primary health services.
The Government of Alberta has developed Seniors’ Community Profiles to assist with local-level planning by the community-based seniors-serving sectors and other organizations. The profiles report a range of demographic, economic, physical and mental health, and health care utilization indicators relevant to the seniors population. These community profiles provide information at the Local Geographic Area (LGA), Zone, and Alberta levels for 114 LGAs in Alberta. The profiles are intended to highlight areas of need and provide relevant information to support the consistent and sustainable community planning.
Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Between 2001 and 2006, Canada’s population grew by 5.4%. Only two provinces, Alberta and Ontario and three territories registered growth rates above the national average. The three Maritime provinces (Prince Edward Island, Nova Scotia and New Brunswick) had the smallest population growth, while Newfoundland and Labrador and Saskatchewan experienced population declines. In 2006, about 21.5 million people, almost two-thirds of Canada’s population lived in 33 census metropolitan areas (CMAs). Between 2001 and 2006, the population of these CMAs climbed 6.9%, faster that the national average. Barrie registered the fastest population growth of any CMA (19.2%), followed by Calgary (13.4%), Oshawa (11.6%) and Edmonton (10.4%).
These are the results of 2022 Fall Survey of Calgarians. To see the most recent reports, visit Calgary.ca/citizensatisfaction.
For detailed information on the variables in this dataset, see the variable metadata.
Methodology The City’s Fall Survey of Calgarians is a telephone survey conducted with a randomly selected sample of Calgarians aged 18 years and older. The survey is conducted on an annual basis. The data are weighted to ensure the overall sample’s quadrant, ward, and age/gender composition reflects that of the actual Calgary population aged 18 or older according to Municipal and Federal Census data. Weights are included in the dataset.
Please use caution, when comparing data sets from previous years and consult the reports for any notable changes to the survey that may impact historical tracking. Further, if merging this data with historical data sets, please ensure that Qlabel and Valuelabel fields align. Given changes to the survey over time, variable and value fields may be inconsistent.
Please be advised that this survey, referenced as "Fall Survey of Calgarians (2022)", was previously known as "Citizen Satisfaction Survey". The name change does not affect the nature or purpose of the survey.
Crime isn't a topic most people want to use mental energy to think about. We want to avoid harm, protect our loved ones, and hold on to what we claim is ours. So how do we remain vigilant without digging too deep into the filth that is crime? Data, of course. The focus of our study is to explore possible trends between crime and communities in the city of Calgary. Our purpose is visualize Calgary criminal behaviour in order to help increase awareness for both citizens and law enforcement. Through the use of our visuals, individuals can make more informed decisions to improve the overall safety of their lives. Some of the main concerns of the study include: how crime rates increase with population, which areas in Calgary have the most crime, and if crime adheres to time-sensative patterns.
These are the results of the 2018 to 2021 Citizen Satisfaction survey. To see the most recent reports, visit Calgary.ca/citizensatisfaction.
For detailed information on the variables in this dataset, see the variable metadata.
Methodology The Citizen Satisfaction survey is a telephone survey conducted with a randomly selected sample of Calgarians aged 18 years and older. The survey is conducted on an annual basis. The data are weighted to ensure the overall sample’s quadrant, ward, and age/gender composition reflects that of the actual Calgary population aged 18 or older according to Municipal and Federal Census data. Weights are included in the dataset.
The variable metadata contains detailed information on the variables.
These are the results of the 2016 & 2017 Citizen Satisfaction survey. To see the most recent reports, visit Calgary.ca/citizensatisfaction.
For detailed information on the variables in this dataset, see the variable metadata.
Methodology
The Citizen Satisfaction survey is a telephone survey conducted with a randomly selected sample of Calgarians aged 18 years and older. The survey is conducted on an annual basis.
The data are weighted to ensure the overall sample’s quadrant, ward, and age/gender composition reflects that of the actual Calgary population aged 18 or older according to Municipal and Federal Census data. Weights are included in the dataset.
The variable metadata contains detailed information on the variables.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Spontaneous preterm birth (sPTB) remains a significant global health challenge and a leading cause of neonatal mortality and morbidity. Despite advancements in neonatal care, the prediction of sPTB remains elusive, in part due to complex etiologies and heterogeneous patient populations. This study aimed to validate and extend information on gene expression biomarkers previously described for predicting sPTB using maternal whole blood from the All Our Families pregnancy cohort study based in Calgary, Canada. The results of this study are two-fold: first, using additional replicates of maternal blood samples from the All Our Families cohort, we were unable to repeat the findings of a 2016 study which identified top maternal gene expression predictors for sPTB. Second, we conducted a secondary analysis of the original gene expression dataset from the 2016 study using five modelling approaches (random forest, elastic net regression, unregularized logistic regression, L2-regularized logistic regression, and multilayer perceptron neural network) followed by external validation using a pregnancy cohort based in Detroit, USA. The top performing model (random forest classification) suggested promising performance (area under the receiver operating curve, AUROC 0.99 in the training set), but performance was significantly degraded on the test set (AUROC 0.54) and further degraded in external validation (AUROC 0.50), suggesting poor generalizability, likely due to overfitting exacerbated by a low feature-to-noise ratio. Similar performance was observed in the other four learning models. Prediction was not improved when using higher complexity machine learning (e.g., neural network) approaches over traditional statistical learning (e.g., logistic regression). These findings underscore the challenges in translating biomarker discovery into clinically useful predictive models for sPTB. This study highlights the critical need for rigorous methodological safeguards and external validation in biomarker research. It also emphasizes the impact of data noise and overfitting on model performance, particularly in high-dimensional omics datasets. Future research should prioritize robust validation strategies and explore mechanistic insights to improve our understanding and prediction of sPTB.
The Employment data from the 2021 Federal Census covers labour force status, employment status, labour force participation rate, industry, and occupation. For questions, please contact socialresearch@calgary.ca. Please visit Data about Calgary's population for more information.
Labour force status refers to whether a person was employed, unemployed or not in the labour force during the reference period. Not in the labour force refers to persons who were neither employed nor unemployed during the reference period. This includes persons who, during the reference period were either unable to work or unavailable for work. It also includes persons who were without work and who had neither actively looked for work in the past four weeks nor had a job to start within four weeks of the reference period.
Employment status refers to the employment status of a person during the period of Sunday, May 2 to Saturday, May 8, 2021. An employed person is one who did any work at all at a job or business, that is, paid work in the context of an employer-employee relationship, or self-employment. This category excludes persons not at work because they were on layoff or between casual jobs, and those who did not then have a job (even if they had a job to start at a future date). While an unemployed person is one who was without paid work or without self-employment work and was available for work. An unemployed person either: had actively looked for paid work in the past four weeks; was on temporary lay-off and expected to return to his or her job; or had definite arrangements to start a new job in four weeks or less.
Labour force participation rate refers to the total labour force in that group, expressed as a percentage of the total population in that group.
Industry refers to the general nature of the business carried out in the establishment where the person worked. The industry data are produced according to the North American Industry Classification System (NAICS).
Occupation refers to the kind of work performed in a job, a job being all the tasks carried out by a particular worker to complete their duties. An occupation is a set of jobs that are sufficiently similar in work performed. The occupation data are produced according to the National Occupational Classification (NOC) 2021.
This is a one-time load of Statistics Canada federal census data from 2021 applied to the Communities, Wards, and City geographical boundaries current as of 2022 (so they will likely not match the current year's boundaries). Update frequency is every 5 years. Data Steward: Business Unit Community Strategies (Demographics and Evaluation). This dataset is for general public and internal City business groups.
The Families and Households data from the 2021 Federal Census covers household, household size, census family, and marital status. For questions, please contact socialresearch@calgary.ca. Please visit Data about Calgary's population for more information.
Household refers to a person or group of persons who occupy the same dwelling and do not have a usual place of residence elsewhere in Canada or abroad. The dwelling may be either a collective dwelling or a private dwelling. The household may consist of a family group such as a census family, of two or more families sharing a dwelling, of a group of unrelated persons or of a person living alone. Household members who are temporarily absent on reference day are considered part of their usual household.
Household size refers to the number of persons in a private household.
Census family refers to a married couple and the children, if any, of either and/or both spouses; a couple living common law and the children, if any, of either and/or both partners; or a parent of any marital status in a one‑parent family with at least one child living in the same dwelling and that child or those children. All members of a particular census family live in the same dwelling.
Children may be biological or adopted children regardless of their age or marital status as long as they live in the dwelling and do not have their own married spouse, common‑law partner or child living in the dwelling. Grandchildren living with their grandparent(s) but with no parents present also constitute a census family.
One-parent refers to mothers or fathers, with no married spouse or common-law partner present, living in a dwelling with one or more children.
Marital status refers to whether or not a person is living in a common‑law union as well as the legal marital status of those who are not living in a common‑law union. All persons aged less than 15 are considered as never married and not living common law. Possible marital statuses are: Common-law, Divorced, Married, Separated, Single, and Widowed.
This is a one-time load of Statistics Canada federal census data from 2021 applied to the Communities, Wards, and City geographical boundaries current as of 2022 (so they will likely not match the current year's boundaries). Update frequency is every 5 years. Data Steward: Business Unit Community Strategies (Demographics and Evaluation). This dataset is for general public and internal City business groups.
The Government of Alberta has developed Seniors’ Community Profiles to assist with local-level planning by the community-based seniors-serving sectors and other organizations. The profiles report a range of demographic, economic, physical and mental health, and health care utilization indicators relevant to the seniors population. These community profiles provide information at the Local Geographic Area (LGA), Zone, and Alberta levels for 114 LGAs in Alberta. The profiles are intended to highlight areas of need and provide relevant information to support the consistent and sustainable community planning.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about cities in Calgary. It has 1 row. It features 3 columns: country, and population.