Canadian Census|人口统计数据集|公共卫生数据集

**Overview**
The data package provides demographics for Canadian population groups according to multiple location categories: Forward Sortation Areas (FSAs), Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs), Federal Electoral Districts (FEDs), Health Regions (HRs) and provinces.

**Description**
The data are available through the Canadian Census and the National Household Survey (NHS), separated or combined. The main demographic indicators provided for the population groups, stratified not only by location but also for the majority by demographical and socioeconomic characteristics, are population number, females and males, usual residents and private dwellings. The primary use of the data at the Health Region level is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information to monitor, plan, implement and evaluate programs to improve the health of Canadians and the efficiency of health services. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the health region data to raise awareness about health, an issue of concern to all Canadians.

The Census population counts for a particular geographic area representing the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be 'non-permanent residents'. National Household Survey (NHS) provides demographic data for various levels of geography, including provinces and territories, census metropolitan areas/census agglomerations, census divisions, census subdivisions, census tracts, federal electoral districts and health regions. In order to provide a comprehensive overview of an area, this product presents data from both the NHS and the Census. NHS data topics include immigration and ethnocultural diversity; aboriginal peoples; education and labor; mobility and migration; language of work; income and housing. 2011 Census data topics include population and dwelling counts; age and sex; families, households and marital status; structural type of dwelling and collectives; and language. The data are collected for private dwellings occupied by usual residents. A private dwelling is a dwelling in which a person or a group of persons permanently reside. Information for the National Household Survey does not include information for collective dwellings. Collective dwellings are dwellings used for commercial, institutional or communal purposes, such as a hotel, a hospital or a work camp.

**Benefits**
- Useful for canada public health stakeholders, for public health specialist or specialized public and other interested parties. for health surveillance and population health research. for monitoring, planning, implementation and evaluation of health-related programs. media agencies may use the health regions data to raise awareness about health, an issue of concern to all canadians. giving the addition of longitude and latitude in some of the datasets the data can be useful to transpose the values into geographical representations. the fields descriptions along with the dataset description are useful for the user to quickly understand the data and the dataset.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Canadian Population and Dwelling by FSA 2011](https://www.johnsnowlabs.com/marketplace/canadian-population-and-dwelling-by-fsa-2011)
- This Canadian Census dataset covers data on population, total private dwellings and private dwellings occupied by usual residents by forward sortation area (FSA). It is enriched with the percentage of the population or dwellings versus the total amount as well as the geographical area, province, and latitude and longitude. The whole Canada's population is marked as 100, referring to 100% for the percentages.
- [Detailed Canadian Population Statistics by CMAs and CAs 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-cmas-and-cas-2011)
- This dataset covers the population statistics of Canada by Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs). It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers.
- [Detailed Canadian Population Statistics by FED 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-fed-2011)
- This dataset covers the population statistics of Canada from 2011 by Federal Electoral District of 2013 Representation Order. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers.
- [Detailed Canadian Population Statistics by Health Region 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-health-region-2011)
- This dataset covers the population statistics of Canada by health region. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers.
- [Detailed Canadian Population Statistics by Province 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-province-2011)
- This dataset covers the population statistics of Canada by provinces and territories. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).

AI搜集汇总

数据集介绍

构建方式

Canadian Census数据集源自加拿大统计局定期进行的全国人口和经济普查。该数据集通过系统化的问卷调查和数据收集方法，涵盖了加拿大各地的人口、家庭、住房、劳动力市场、收入和支出等多个维度。数据收集过程严格遵循统计学原理和隐私保护法规，确保数据的准确性和可靠性。

特点

Canadian Census数据集以其全面性和细致性著称，提供了丰富的社会经济指标和人口统计数据。该数据集不仅包含宏观层面的国家统计数据，还细分到各省、市甚至社区级别，为研究者提供了多层次的分析视角。此外，数据集的更新频率较高，通常每五年进行一次全面普查，确保数据的时效性。

使用方法

Canadian Census数据集广泛应用于社会科学研究、政策制定和商业分析等领域。研究者可以通过该数据集进行人口趋势分析、社会经济状况评估以及区域发展规划等研究。使用时，用户需遵循数据使用协议，确保数据的合法性和隐私保护。数据集通常以表格和数据库形式提供，支持多种统计软件和编程语言的导入和分析。

背景与挑战

背景概述

加拿大人口普查（Canadian Census）是由加拿大统计局定期进行的全国性人口调查，旨在收集和分析加拿大人口的社会、经济和住房状况数据。自1871年首次实施以来，该普查已成为加拿大政府制定政策、规划公共服务和研究社会趋势的重要依据。普查数据涵盖了人口统计、家庭结构、教育水平、就业状况等多个维度，为学术研究、商业决策和公共政策提供了丰富的数据支持。随着时间的推移，加拿大人口普查不断更新其数据收集方法和内容，以适应社会变化和技术进步。

当前挑战

加拿大人口普查在构建过程中面临多项挑战。首先，数据隐私和安全问题一直是普查工作的核心关注点，如何在确保数据准确性的同时保护个人隐私，是普查机构需要持续应对的难题。其次，随着人口流动性的增加，如何准确追踪和记录人口迁移情况，确保数据的全面性和准确性，也是一项重大挑战。此外，普查数据的处理和分析需要高度的技术支持，特别是在大数据和人工智能技术日益普及的背景下，如何有效利用这些技术提升数据处理效率和分析深度，是普查工作面临的另一重要挑战。

发展历史

创建时间与更新

Canadian Census数据集的创建可以追溯到1871年，这是加拿大首次进行全国性的人口普查。此后，该数据集每五年更新一次，最近一次更新是在2021年，反映了加拿大社会经济结构的最新变化。

重要里程碑

Canadian Census数据集的重要里程碑包括1901年首次引入详细的职业分类，1951年引入详细的住房信息，以及1971年首次引入计算机处理数据。2001年，该数据集开始提供在线访问，极大地提高了数据的可访问性和利用率。2011年，Canadian Census引入了新的数据收集方法，包括在线调查，进一步提升了数据的质量和覆盖范围。

当前发展情况

当前，Canadian Census数据集已成为加拿大社会科学研究的重要基石，广泛应用于人口统计、经济分析、政策制定等多个领域。其数据的高质量和详细性为学者和政策制定者提供了宝贵的信息资源。随着技术的进步，Canadian Census不断优化数据收集和处理方法，确保数据的准确性和时效性。此外，该数据集的开放获取政策促进了学术研究和公共政策的透明度与科学性。

发展历程

• 加拿大首次进行全国性人口普查，标志着Canadian Census的诞生。

  1871年
• Canadian Census首次引入详细的职业分类，为社会经济研究提供了重要数据。

  1901年
• Canadian Census开始采用计算机技术进行数据处理，显著提高了数据处理效率。

  1951年
• Canadian Census首次收集有关移民和语言的数据，为多元文化研究提供了基础。

  1971年
• Canadian Census引入互联网数据收集方式，标志着数据收集技术的现代化。

  2001年
• Canadian Census面临数据隐私和安全性的挑战，推动了相关法律法规的完善。

  2011年

常用场景

经典使用场景

在社会科学研究中，Canadian Census数据集被广泛用于分析人口结构、社会经济状况及区域发展差异。通过该数据集，研究者能够深入探讨加拿大各省份的人口迁移模式、教育水平分布以及就业市场的动态变化。这些分析不仅有助于理解加拿大社会的多样性，还为政策制定者提供了宝贵的数据支持，以制定更具针对性的社会福利和经济发展策略。

解决学术问题

Canadian Census数据集在解决学术研究问题方面具有重要意义。它为学者们提供了详尽的人口统计数据，帮助研究人口增长、老龄化、移民对社会经济的影响等关键问题。通过这些数据，研究者能够进行定量分析，验证或推翻现有的社会理论，从而推动社会科学领域的知识进步。此外，该数据集还为跨学科研究提供了基础，促进了经济学、社会学和地理学等领域的交叉研究。

衍生相关工作

Canadian Census数据集的广泛应用催生了众多相关研究和工作。例如，基于该数据集的人口预测模型被开发出来，用于预测未来的人口变化和社会需求。此外，研究者还利用这些数据进行社会经济指标的计算和比较，如基尼系数和人类发展指数，以评估不同地区的社会经济发展水平。这些衍生工作不仅丰富了社会科学的研究方法，还为政策制定和学术研究提供了新的视角和工具。