Neural Networks
| Types of Regional Profiles 2015 | ||
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The aim of clustering the districts is to identify, describe and identify specific groups of districts whose regional profiles are similar. As described in the methodology, this process is carried out simultaneously for all indicators characterizing the socio-economic situation and the development of districts by using neural networks. |
The goal of the multidimensional analysis of regional development is to review and analyze the common socio-economic development of the regions in the 2008-2010 period, using a wide variety of indicators, grouped in seven categories: economy, infrastructure, demographics, education, healthcare, environment, social environment. |
Latest news
Dobrich district: developed tourism and low taxes, but high poverty 20.01.2025
The gross domestic product per capita in Dobrich district continues to grow, but its value remains relatively...
Gabrovo district - investments and high incomes, but a severely deteriorated demographic picture 10.01.2025
The gross domestic product, salaries and pensions in Gabrovo district continue to grow, and the poverty level...
Vratsa District: developed industry and high wages, but aging continues 03.01.2025
The gross domestic product per capita in Vratsa district continues to grow. The average annual gross salary...
Vidin Region: low taxes, but rapid aging and high unemployment 20.12.2024
Vidin is among the districts with the weakest indicators in terms of income and standard of living. The...