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Measurement of gender inequality in neighbourhoods of Québec, Canada

INTRODUCTION: Few studies have measured gender inequality at levels lower than the country. We sought to develop neighbourhood indicators of gender inequality, and assess their ability to capture variability in gender inequality across Québec, Canada. METHODS: Aggregate 2001 census data for 11,564 n...

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Autores principales: Tamambang, Lum, Auger, Nathalie, Lo, Ernest, Raynault, Marie-France
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239849/
https://www.ncbi.nlm.nih.gov/pubmed/22087586
http://dx.doi.org/10.1186/1475-9276-10-52
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author Tamambang, Lum
Auger, Nathalie
Lo, Ernest
Raynault, Marie-France
author_facet Tamambang, Lum
Auger, Nathalie
Lo, Ernest
Raynault, Marie-France
author_sort Tamambang, Lum
collection PubMed
description INTRODUCTION: Few studies have measured gender inequality at levels lower than the country. We sought to develop neighbourhood indicators of gender inequality, and assess their ability to capture variability in gender inequality across Québec, Canada. METHODS: Aggregate 2001 census data for 11,564 neighbourhoods were obtained for men and women. Twelve indicators of gender inequality representing demographic/household characteristics, education, income, work/leisure, and political participation were selected. Neighbourhood-level gender inequality scores were computed for each indicator, and examined across parts of Québec (metropolitan areas, mid-sized cities, rural areas). Monte Carlo simulations were used to assess the ability of indicators to capture heterogeneity in gender inequality across neighbourhoods. RESULTS: Male-dominant neighbourhood-level gender inequality tended to be present for average employment income, labour force participation, employment rate, and employment in managerial positions. Female-dominant gender inequality tended to be present for divorce, single-headed households, and participation in unpaid housework, child and elderly care. Neighbourhood-level gender inequality tended to vary across metropolitan areas, mid-sized cities, and rural areas. Gender inequality scores also varied within these geographic areas. For example, there was greater income-related gender inequality in high than low income neighbourhoods. Monte Carlo simulations suggested that the variation in gender inequality across neighbourhoods was greater than expected with chance alone. CONCLUSION: Neighbourhood-level gender inequality tended to be present in Québec, and varied across parts of the province. Greater awareness of and research on neighbourhood-level gender inequality may be warranted to inform gender policies in Québec and other nations.
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spelling pubmed-32398492011-12-16 Measurement of gender inequality in neighbourhoods of Québec, Canada Tamambang, Lum Auger, Nathalie Lo, Ernest Raynault, Marie-France Int J Equity Health Research INTRODUCTION: Few studies have measured gender inequality at levels lower than the country. We sought to develop neighbourhood indicators of gender inequality, and assess their ability to capture variability in gender inequality across Québec, Canada. METHODS: Aggregate 2001 census data for 11,564 neighbourhoods were obtained for men and women. Twelve indicators of gender inequality representing demographic/household characteristics, education, income, work/leisure, and political participation were selected. Neighbourhood-level gender inequality scores were computed for each indicator, and examined across parts of Québec (metropolitan areas, mid-sized cities, rural areas). Monte Carlo simulations were used to assess the ability of indicators to capture heterogeneity in gender inequality across neighbourhoods. RESULTS: Male-dominant neighbourhood-level gender inequality tended to be present for average employment income, labour force participation, employment rate, and employment in managerial positions. Female-dominant gender inequality tended to be present for divorce, single-headed households, and participation in unpaid housework, child and elderly care. Neighbourhood-level gender inequality tended to vary across metropolitan areas, mid-sized cities, and rural areas. Gender inequality scores also varied within these geographic areas. For example, there was greater income-related gender inequality in high than low income neighbourhoods. Monte Carlo simulations suggested that the variation in gender inequality across neighbourhoods was greater than expected with chance alone. CONCLUSION: Neighbourhood-level gender inequality tended to be present in Québec, and varied across parts of the province. Greater awareness of and research on neighbourhood-level gender inequality may be warranted to inform gender policies in Québec and other nations. BioMed Central 2011-11-16 /pmc/articles/PMC3239849/ /pubmed/22087586 http://dx.doi.org/10.1186/1475-9276-10-52 Text en Copyright ©2011 Tamambang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Tamambang, Lum
Auger, Nathalie
Lo, Ernest
Raynault, Marie-France
Measurement of gender inequality in neighbourhoods of Québec, Canada
title Measurement of gender inequality in neighbourhoods of Québec, Canada
title_full Measurement of gender inequality in neighbourhoods of Québec, Canada
title_fullStr Measurement of gender inequality in neighbourhoods of Québec, Canada
title_full_unstemmed Measurement of gender inequality in neighbourhoods of Québec, Canada
title_short Measurement of gender inequality in neighbourhoods of Québec, Canada
title_sort measurement of gender inequality in neighbourhoods of québec, canada
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239849/
https://www.ncbi.nlm.nih.gov/pubmed/22087586
http://dx.doi.org/10.1186/1475-9276-10-52
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