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Part 1: Document Description
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Citation |
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Title: |
A spatial database of public primary day schools in western Kenya |
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Identification Number: |
doi:10.7910/DVN/5N8LW2 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2021-08-18 |
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Version: |
1 |
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Bibliographic Citation: |
Peter M Macharia; Angela Moturi; Eda Mumo; Robert W Snow, 2021, "A spatial database of public primary day schools in western Kenya", https://doi.org/10.7910/DVN/5N8LW2, Harvard Dataverse, V1, UNF:6:Rrnzzw33xAW3P3xEffre/Q== [fileUNF] |
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Citation |
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Title: |
A spatial database of public primary day schools in western Kenya |
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Identification Number: |
doi:10.7910/DVN/5N8LW2 |
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Authoring Entity: |
Peter M Macharia (Population Health Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya Centre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, Lancaster, UK) |
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Angela Moturi (Population Health Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya) |
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Eda Mumo (Population Health Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya) |
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Robert W Snow (Population Health Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
KWTRP Data Governance Office |
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Depositor: |
Wafula, James |
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Date of Deposit: |
2021-08-18 |
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Holdings Information: |
https://doi.org/10.7910/DVN/5N8LW2 |
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Study Scope |
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Keywords: |
Other, Spatial database, Public primary school, Kenya |
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Abstract: |
Understanding the location of primary schools relative to population is important to contextualize the time, or distance, that students must travel and in defining school catchment areas for planning. However, such analyses are limited due to the perennial problem for absence of geocoded school databases. We, therefore, assembled existing school databases in western Kenya, merged and cleaned them to a unique list of 2170 public day primary school in 2009 and 4682 in 2020. We focused only on PPS managed by local authorities, community, Ministry of Education, non-governmental and religious organisations. These are more accessible by the general public since the introduction of free and compulsory primary education by the Kenyan government in 2003. We also excluded special schools catering for the deaf, blind, and neurologically impaired. The database was geocoded via Google Earth, OpenStreetMap and Geonames while ensuring no schools were located within protected areas or in water bodies by carefully rechecking the coordinates derived from online gazetteers. |
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Notes: |
<p>Six databases used to curate the presented master list in western Kenya were from nationwide school mapping exercises, health-related school surveys, international organizations such as World Bank and personal communications with education stakeholders.</p> <p>These data have been made available under a Creative Commons Attribution 4.0 International (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/legalcode. Publications based on these data should acknowledge this source by means of bibliographic citations. </p> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
This data is made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/legalcode |
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This dataset is under controlled (embargo) access until the manuscript is accepted for publication. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Peter M. Macharia, Angela K. Moturi, Eda Mumo, Emanuele Giorgi, Emelda A. Okiro, Robert W. Snow & Nicolas Ray (2022), "Modelling geographic access and school catchment areas across public primary schools to support subnational planning in Kenya, Children's Geographies". |
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Identification Number: |
10.1080/14733285.2022.2137388 |
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Bibliographic Citation: |
Peter M. Macharia, Angela K. Moturi, Eda Mumo, Emanuele Giorgi, Emelda A. Okiro, Robert W. Snow & Nicolas Ray (2022), "Modelling geographic access and school catchment areas across public primary schools to support subnational planning in Kenya, Children's Geographies". |
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File Description--f4987174 |
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File: Macharia_Moturi_Mumo_Snow_Western_Primary_Schools_Data.tab |
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Notes: |
UNF:6:Rrnzzw33xAW3P3xEffre/Q== |
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List of Variables: |
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Variables |
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f4987174 Location: |
Variable Format: character Notes: UNF:6:xXTuP+pt57HjeDRVRwNm8w== |
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f4987174 Location: |
Variable Format: character Notes: UNF:6:HwvKl+qNjYRGlsMpiLmcmw== |
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f4987174 Location: |
Variable Format: character Notes: UNF:6:YuOzGGF8Rt5MIYf+OELLbw== |
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f4987174 Location: |
Summary Statistics: Min. -1.375; Max. 0.919; Mean 0.03538059907834099; Valid 2170.0; StDev 0.567536200860236 Variable Format: numeric Notes: UNF:6:J3l64FC2RMzdn0gphmCOUg== |
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f4987174 Location: |
Summary Statistics: Valid 2170.0; Max. 35.2725; Mean 34.558582949308715; Min. 33.9639; StDev 0.2515856763684468 Variable Format: numeric Notes: UNF:6:ENvIdsisZA6N2WRYxaahEw== |
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f4987174 Location: |
Variable Format: character Notes: UNF:6:Xmn88Hgr3oSmR+1H3Z8l/A== |
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f4987174 Location: |
Variable Format: character Notes: UNF:6:B1M8x+37VzHslLU4PdNtjw== |
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f4987174 Location: |
Variable Format: character Notes: UNF:6:qKysK5P7KjUPEDsXE8PKLg== |
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f4987174 Location: |
Variable Format: character Notes: UNF:6:GfKbexu4CUKJjHP4cFkFxA== |
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f4987174 Location: |
Variable Format: character Notes: UNF:6:tEHB0ISFIKBKjT8iRInvdw== |
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Label: |
Macharia_Moturi_Mumo_Snow_Western_Primary_Schools_DATA_CODEBOOK.pdf |
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Notes: |
application/pdf |
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Label: |
Macharia_Moturi_Mumo_Snow_Western_Primary_Schools_Data_Readme.txt |
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Notes: |
text/plain |