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A Dataset of Dropout Rates and Other School-Level Variables in Louisiana Public High Schools

Author

Listed:
  • Michael Stein

    (Department of Information Services—GIS Section, City of Baton Rouge and Parish of East Baton Rouge, Baton Rouge, LA 70802, USA)

  • Michael Leitner

    (Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA)

  • Jill C. Trepanier

    (Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA
    Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, USA)

  • Kory Konsoer

    (Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA
    Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, USA)

Abstract

Students dropping out of high school is a nationwide problem in the United States, plaguing communities and often greatly reducing the prospects of a quality life for those students who do not complete their high school education. The state of Louisiana consistently has among the highest public high school dropout rates in the United States and, often, the highest. This massive dataset of school variables covering a duration of five academic years (2014–2015 to 2018–2019) was originally compiled with the intention of identifying the factors that correlate with high school dropouts in Louisiana public high schools, specifically. However, it can be useful to any researchers interested in analyzing school-level data concerning a wide range of variables beyond merely dropout rates. This dataset also contains socioeconomic demographics, financial variables, class size, and much more. The correlation analyses ultimately revealed many intriguing insights into the relationships between the tested variables and the dropout rates.

Suggested Citation

  • Michael Stein & Michael Leitner & Jill C. Trepanier & Kory Konsoer, 2022. "A Dataset of Dropout Rates and Other School-Level Variables in Louisiana Public High Schools," Data, MDPI, vol. 7(4), pages 1-10, April.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:4:p:48-:d:792004
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    Cited by:

    1. Pongpon Nilaphruek & Pattama Charoenporn, 2023. "Knowledge Discovery and Dataset for the Improvement of Digital Literacy Skills in Undergraduate Students," Data, MDPI, vol. 8(7), pages 1-16, July.

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