Utilizing Digital Mapping Technologies to Analyze the Characteristics of the Population of Ramadi City: Patterns and Trends

This study aims to employ digital mapping technologies to analyze the characteristics of the population of Ramadi city. Demographic data were collected from official sources and analyzed using digital mapping tools to provide a comprehensive overview of population distribution, population density, a...

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Veröffentlicht in:South Eastern European journal of public health 2024-09, p.518-526
Hauptverfasser: Al-Ani, Mohammed Faza Thabet, Mushref, Zuhair Jaber
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description This study aims to employ digital mapping technologies to analyze the characteristics of the population of Ramadi city. Demographic data were collected from official sources and analyzed using digital mapping tools to provide a comprehensive overview of population distribution, population density, and growth rates in the city. The population of Ramadi city in 2022 was approximately 25,770, with the Othman bin Affan district being the most populous, with 31,703 residents. Population distribution was represented using dot maps to illustrate the numerical distribution of the population across different neighborhoods. The population density in the city was 55.3 persons per hectare, with Al-Khansaa district having the highest population density at 210.1 persons per hectare. Population density was represented using choropleth maps to highlight differences between neighborhoods. The population growth rate was 3.1% for the city of Ramadi. The western neighborhoods of the city, which experienced the highest growth rates of 8% and 7.5%, were the main destination for internal migration from other neighborhoods, significantly affecting population distribution and density. The study concluded that the use of digital mapping technologies provides effective tools for analyzing and interpreting demographic patterns, contributing to improved urban planning and equitable distribution of services across neighborhoods.
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The western neighborhoods of the city, which experienced the highest growth rates of 8% and 7.5%, were the main destination for internal migration from other neighborhoods, significantly affecting population distribution and density. 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