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Data · dataset · 2021

2019 Nova Scotia Quality of Life Survey

Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/yulvdo

Measuring What Matters In May and June of 2019, 80 000 Nova Scotia households received an invitation in their mailboxes to participate in a first-of-its-kind survey measuring quality of life across the province.

Description

The survey asked how people feel they are doing in eight key areas related to their quality of life. Our research partners, the Canadian Index of Wellbeing, have compiled the information collected from the survey into data sets and reports.

The summary results were released in March 2020 and additional reports are scheduled for release later in the year. These reports will serve as the foundation for innovative approaches to priority setting and planning at a local level for years to come. The map below shows where those regional groups are.

Read the rest (1 more)

Results The survey focused on alternative measures of progress, beyond GDP, and explored how Nova Scotians are doing in eight areas that affect their wellbeing: community vitality, living standards, healthy populations, democratic engagement, leisure and culture, time use, the environment and education. Learn more about the Eight Domains of Wellbeing. 12,827 Nova Scotians participated in our 230-question survey. This confirms our belief that they are behind the project.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Arts and Humanities · Arts and Humanities · Business and Management · Business and Management · Social Sciences · Social Sciences
From keywords
Chemistry · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Humanities · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Social Science · Social Science
Provenance · 2 source records, 28 field assertions
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Borealisdoi:10.5683/SP2/YULVDO13 d agoJSON v1
Agri-environmental Research Data Dataversedoi:10.5683/SP2/YULVDO11 d agoJSON v1
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