Revisiting social vulnerability analysis in Indonesia data

Robert Kurniawan; Bahrul Ilmi Nasution; Neli Agustina; Budi Yuniarto

doi:10.1016/j.dib.2021.107743

Revisiting social vulnerability analysis in Indonesia data

Data Brief. 2021 Dec 23:40:107743. doi: 10.1016/j.dib.2021.107743. eCollection 2022 Feb.

Authors

Robert Kurniawan¹, Bahrul Ilmi Nasution², Neli Agustina³, Budi Yuniarto¹

Affiliations

¹ Department of Statistical Computing, Polytechnic Statistics STIS, Jakarta 13330, Indonesia.
² Jakarta Smart City, Department of Communications, Informatics, and Statistics, Jakarta 10110, Indonesia.
³ Department of Statistics, Polytechnic Statistics STIS, Jakarta 13330, Indonesia.

Abstract

This paper presents the dataset about the social vulnerability in Indonesia. This dataset contains several dimensions which rely on previous studies. The data was compiled mainly from the 2017 National Socioeconomic Survey (SUSENAS) done by BPS-Statistics Indonesia. We utilize the weight to obtain the estimation based on multistage sampling. We also received additional information on population, the number, and population growth from the BPS-Statistics Indonesia's 2017 Population projection. Furthermore, we provide the distance matrix as the supplementary information and the number of populations to do the Fuzzy Geographically Weighted Clustering (FGWC). This data can be utilized to do further analysis of social vulnerability to promote disaster management. The data can be accessed further at https://raw.githubusercontent.com/bmlmcmc/naspaclust/main/data/sovi_data.csv.

Keywords: Disaster management; Disaster mitigation; Fuzzy geographically weighted clustering; Multistage sampling; Social vulnerability.