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How happy are your neighbours? Variation in life satisfaction among 1200 Canadian neighbourhoods and communities
- Source :
- PLoS ONE, Vol 14, Iss 1, p e0210091 (2019), PLoS ONE
- Publication Year :
- 2019
- Publisher :
- Public Library of Science (PLoS), 2019.
-
Abstract
- This paper presents a new public-use dataset for community-level life satisfaction in Canada, based on more than 500,000 observations from the Canadian Community Health Surveys and the General Social Surveys. The country is divided into 1216 similarly sampled geographic regions, using natural, built, and administrative boundaries. A cross-validation exercise suggests that our choice of minimum sampling thresholds approximately maximizes the predictive power of our estimates. The resulting dataset reveals robust differences in life satisfaction between and across urban and rural communities. We compare aggregated life satisfaction data with a range of key census variables to illustrate some of the ways in which lives differ in the most and least happy communities.
- Subjects :
- Rural Population
Urban Population
Happiness
0211 other engineering and technologies
Social Sciences
02 engineering and technology
Personal Satisfaction
Geographical locations
Cultural Anthropology
Sociology
Residence Characteristics
Surveys and Questionnaires
050207 economics
Socioeconomics
Geographic Areas
media_common
Multidisciplinary
Geography
05 social sciences
Sampling (statistics)
021107 urban & regional planning
Census
Religion
Variation (linguistics)
Research Design
Community health
Geographic regions
Medicine
Research Article
Urban Areas
Canada
media_common.quotation_subject
Science
Research and Analysis Methods
Human Geography
Population Metrics
0502 economics and business
Humans
Population Density
Survey Research
Population Biology
Life satisfaction
Biology and Life Sciences
Health Surveys
Rural Areas
Socioeconomic Factors
Anthropology
North America
Predictive power
Earth Sciences
Housing
Human Mobility
People and places
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 14
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....5cd6a89a503c4af1ab1e1c6a90c700dc