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Talk:City and Region of Madrid

108 bytes added, 14:25, 5 April 2022
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The uneven distribution of some of these variables may be observed on two municipal maps of the Region of Madrid (Comunidad de Madrid). One depicts the distribution of the population over 65 years of age, whilst the other shows COVID-19 cases from February to June 2020. Certain parallels may be drawn between the two. The oldest sex-age pyramids are to be found in municipalities located on the three corners of the map, i.e. north, southeast and southwest. These areas were therefore more affected in general.
The map on ''[[:File:Unemployed in the city of Madrid |Unemployed in the city of Madrid]]'' depicts the amount of unemployed and the amount of unemployed per 1,000 inhabitants during the period assessed. In the southern boroughs of the city, i.e. Puente de Vallecas, Villa de Vallecas, Carabanchel, Usera, Villaverde, there were over 70 unemployed for every one thousand inhabitants, whilst these figures stood under forty in the northern boroughs, such as ''Chamartín, Chamberí, Fuencarral-El Pardo, Moncloa-Aravaca, Retiro and Salamanca''. This distribution does not correlate precisely with the distribution of the map on ''[[:File:Social benefits in the city of Madrid|Social benefits in the city of Madrid]]'', yet the same gradient of inequality may be observed on both. ''Chamartín '' stands out since low unemployment figures were registered (31 unemployed per 1,000 inhabitants) and low figures for the amount of social welfare beneficiaries were recorded (128 out of a total of 13,316 in the city), yet the highest amounts for social welfare benefits were payed, i.e. 1,082 euros.
The interrelationships between age and impact of the disease are depicted on the maps on the population over 65 years of age and COVID-19 cases, both for the municipalities of the Region of Madrid (Comunidad de Madrid) and the boroughs in the city of Madrid. These maps align with the evidence provided by statistics and epidemiological knowledge.
However, the relationship between the impact of the disease and the other socioeconomic variables is not as clear-cut. This does not mean it does not exist. It simply means that a multidisciplinary assessment is required to go more in depth and better understand the influence of each of these factors on the incidence and impact of the pandemic.
 
It shall be borne in mind when using these maps that the criteria for counting COVID-19 cases varied throughout the period assessed at different times and in different ways, depending on the various territories. The sources that have been used provide information on which criteria were used and when they were used.
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