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The importance of statistical analysis lies in the fact that it has recently been able to put its scientific methods and theories into practice as well as its theoretical importance and its broad practical benefits. This reflects the modern trend of statistics and its use by industrial sites of all kinds and activities in order to reach wise decisions. Why has a role،Prominent in the field of planning for the distribution of industrial sites in the province of Baghdad, and drawing development policies for various industries, through which it is possible to provide accurate data, information and statistical indicators in order to achieve goals and enable those in charge of the planning and follow-up process to implement all stages of the drawn plans.Analytics and forecasts simplified digital or charted and approved globally. In this research, the simple correlation coefficient (Pearson Correlate) was used, the correlation between the number of factories and the climatic elements, and their suitability in terms of the number of factories and the number of workers in these factories, and between the climatic elements that greatly affect the industries within these factories. located in Baghdad Governorate for the period (2001-2020), being one of the important quantitative statistical methods to determine the importance and variation of industrial sites and types of industries in the province The quantitative trends of the relative changes between the number of factories and the number of workers and industries in Baghdad governorate for the period (2001-2020) were presented and analyzed, as we found through them that the positive relative change and the average correlation of a number of industrial sites were achieved in (food industries) only, as for ( Chemical industries, construction industries, chemical materials and products, textile industries) which recorded a relatively negative change. As for the number of employees, it recorded a relatively negative change in all industrial branches except for the refined oil products industry, which recorded a weak correlation.
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