A GEOGRAPHICAL ANALYSIS OF THE POPULATION CONCENTRATION OF AL-HUSSAINIYA DISTRICT IN KARBALA GOVERNORATE - IRAQ FOR THE PERIOD 2009-2019 CE
This research adopts a distinctive geographical approach based on the statistical indicators the researcher has by field work, in addition to the available data from official government institutions. The research aims to clarify the concentration of the population of Al-Husseiniya district in Karbala governorate for the period 2009-2019 CE, on the basis of the fact that the district is divided into (55) regions with different areas, which enabled the research to show detailed results and clear comparisons and contrasts. The research consists of three sections, the first dealt with the geographical factors affecting the concentration of the population of Al-Hussainiya district, wich come in two kinds : the natural factors (terrain, climate, soil and water resources), and the human factors (Economic, transportational, historical, religious, administrative and planning factors,). and it turns out that water resources and economic factors have The most noticeable impact among other factors in this regard. The second section was concerned with the distribution of the population of Al-Hussainiya district based on indicators of numerical, relative, density and environmental distribution, which showed a growth in population and population density, and also proved the purely rural character of the district, with a rural population of 84.1% in 2019 CE.As for the third section, it was concerned with the study of the population concentration in the district of Al-Hussainiya, and the registration of the provinces (Abu Zrant, Kaka’iya, Alwand, Al-Jaifiniyah, Umm Gharagir, Al-Haswa) showed the highest percentage of population concentration, while the lowest percentage of population concentration was recorded in the provinces (Gharbia Karoud, Al-Awarah Al-Wusta, Al-Awarah Al-Kabirah, Al-Abitar, Abu Aseed, Al-Kakaiyah Al-Gharbia).
Keywords: Population Concentration, Population Distribution, Density Distribution, Environmental Distribution, Diffuse Pattern, Crowded Pattern.