Geospatial Analysis of Urban Poverty in Loralai District of Pakistan

Geospatial Analysis of Urban Poverty in Loralai District of Pakistan

Authors

  • Muhammad Tahir MPhil Scholar Department of Geography and Regional Planning University of Balochistan Quetta
  • Said Qasim Professor, Department of Geography and Regional Planning University of Balochistan Quetta

DOI:

https://doi.org/10.59075/jssa.v3i1.87

Keywords:

Urban poverty, Wards, Household income, GIS, Loralai.

Abstract

This research aims to the socioeconomic factors contributing to urban poverty within 25 wards of Loralai District. The primary objective of the study is to assess the challenges faced by urban residents related to poverty and to map these poverty levels spatially using Geographic Information Systems (GIS). The primary data were collected through questionnaires. Variables including household income, loan amount received from banks, availability and type of automobile vehicle were used to assess the poverty level. These indicators were crucial in determining the overall poverty status of each ward. The findings revealed significant inequalities in poverty levels among the 25 urban wards of Loralai District (Annexure B). Wards 2,19, 20, 21, 22, 23, 24, and 25 were categorized as "very poor," with residents in these areas experiencing the most severe deprivation in terms of income and access to essential services. Wards 3,4,6, 7,11,12,16,17,18,19 and 18 were identified as "medium". In contrast, wards 1, 5, 6, 8, 9, 10, 13, 14 and 15 were classified as "rich" in comparison, showing better socioeconomic conditions, higher household incomes, and better access to services. The visual maps created through GIS allowed for the clear identification of patterns in urban poverty, making it easier to discern which wards are in need of targeted interventions. The spatial analysis of urban poverty provided by this research is crucial for policymakers, government officials, and development organizations to understand the area in need of resources and planning to alleviate poverty.

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Published

2025-01-06

How to Cite

Muhammad Tahir, & Said Qasim. (2025). Geospatial Analysis of Urban Poverty in Loralai District of Pakistan. Journal for Social Science Archives, 3(1), 14–25. https://doi.org/10.59075/jssa.v3i1.87
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