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Poverty is a common problem around the world. At the end of 2019, the emergence of the covid-19 virus exacerbated the situation of the poor. So various efforts are made to deal with this. This paper proposes a Multidimensional scaling method to identify characteristics that affect poverty in each Regency/city in West Sumatra. The main advantage of this method is a two-dimensional perceptual map that facilitates the presentation of research results. Multidimensional scaling analysis is a multiple-variable technique that involves creating a map to describe the position of an object with other objects based on similarity values. The analysis involved regencies/cities in West Sumatra with poverty characteristic variables. To determine the validity of the research results, testing using Rstudio obtained a stress value of 6.4% and an R2 value of 0.996. The results obtained is Padang Kota, Pariaman Kota, Dhamasraya, Padang Panjang Kota, and Sawahlunto have proximity to the poverty characteristics based on the type of residential floor made of soil (X2), do not have defecation facilities/ together with other households (X4), source of household lighting does not use electricity (X5), have a residential floor area of less than 8 m2 (X1), and do not have defecation facilities / together with other households (X4). It is hoped that the results of this study will be able to assist in handling poverty in every Regency/city in the province of West Sumatra. [ABSTRACT FROM AUTHOR]