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The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education

In India, assembly constituencies (ACs), represented by elected officials, are the primary geopolitical units for state-level policy development. However, data on social indicators are traditionally reported and analyzed at the district level, and are rarely available for ACs. Here, we combine villa...

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Autores principales: Swaminathan, Akshay, Narayanan, Menaka, Blossom, Jeff, Venkataramanan, R., Saunik, Sujata, Kim, Rockli, Subramanian, S.V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981364/
https://www.ncbi.nlm.nih.gov/pubmed/31906293
http://dx.doi.org/10.3390/ijerph17010296
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author Swaminathan, Akshay
Narayanan, Menaka
Blossom, Jeff
Venkataramanan, R.
Saunik, Sujata
Kim, Rockli
Subramanian, S.V.
author_facet Swaminathan, Akshay
Narayanan, Menaka
Blossom, Jeff
Venkataramanan, R.
Saunik, Sujata
Kim, Rockli
Subramanian, S.V.
author_sort Swaminathan, Akshay
collection PubMed
description In India, assembly constituencies (ACs), represented by elected officials, are the primary geopolitical units for state-level policy development. However, data on social indicators are traditionally reported and analyzed at the district level, and are rarely available for ACs. Here, we combine village-level data from the 2011 Indian Census and AC shapefiles to systematically derive AC-level estimates for the first time. We apply this methodology to describe the distribution of 11 education infrastructures—ranging from pre-primary school to senior secondary school—across rural villages in 3773 ACs. We found high variability in access to higher education infrastructures and low variability in access to lower education variables. For 40.3% (25th percentile) to 79.7% (75th percentile) of villages in an AC, the nearest government senior secondary school was >5 km away, whereas the nearest government primary school was >5 km away in just 0% (25th percentile) to 1.9% (75th percentile) of villages in an AC. The states of Manipur, Arunachal Pradesh, and Bihar showed the greatest within-state variation in access to education infrastructures. We present a novel analysis of access to education infrastructures to inform AC-level policy and demonstrate how geospatial and Census data can be leveraged to derive AC-level estimates for any population health and development indicators collected in the Census at the village level.
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spelling pubmed-69813642020-02-07 The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education Swaminathan, Akshay Narayanan, Menaka Blossom, Jeff Venkataramanan, R. Saunik, Sujata Kim, Rockli Subramanian, S.V. Int J Environ Res Public Health Article In India, assembly constituencies (ACs), represented by elected officials, are the primary geopolitical units for state-level policy development. However, data on social indicators are traditionally reported and analyzed at the district level, and are rarely available for ACs. Here, we combine village-level data from the 2011 Indian Census and AC shapefiles to systematically derive AC-level estimates for the first time. We apply this methodology to describe the distribution of 11 education infrastructures—ranging from pre-primary school to senior secondary school—across rural villages in 3773 ACs. We found high variability in access to higher education infrastructures and low variability in access to lower education variables. For 40.3% (25th percentile) to 79.7% (75th percentile) of villages in an AC, the nearest government senior secondary school was >5 km away, whereas the nearest government primary school was >5 km away in just 0% (25th percentile) to 1.9% (75th percentile) of villages in an AC. The states of Manipur, Arunachal Pradesh, and Bihar showed the greatest within-state variation in access to education infrastructures. We present a novel analysis of access to education infrastructures to inform AC-level policy and demonstrate how geospatial and Census data can be leveraged to derive AC-level estimates for any population health and development indicators collected in the Census at the village level. MDPI 2020-01-01 2020-01 /pmc/articles/PMC6981364/ /pubmed/31906293 http://dx.doi.org/10.3390/ijerph17010296 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Swaminathan, Akshay
Narayanan, Menaka
Blossom, Jeff
Venkataramanan, R.
Saunik, Sujata
Kim, Rockli
Subramanian, S.V.
The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education
title The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education
title_full The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education
title_fullStr The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education
title_full_unstemmed The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education
title_short The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education
title_sort state of school infrastructure in the assembly constituencies of rural india: analysis of 11 census indicators from pre-primary to higher education
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981364/
https://www.ncbi.nlm.nih.gov/pubmed/31906293
http://dx.doi.org/10.3390/ijerph17010296
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