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
Ruse District – good education and intense cultural life, but rapid population aging 28.03.2025
The gross domestic product per capita in the district is growing and is the ninth highest in the country....
Razgrad District – investment growth and low taxes, but bad roads and poor education 21.03.2025
The gross domestic product in the district continues to grow, but at a lower than average rate, and its value...
IME presented Regional Profiles: Indicators of Development 2024 13.03.2025
The Institute for Market Economics held a special presentation for the international community of the latest...
Pleven district – leader in health care, but with a rapidly decreasing population 11.03.2025
The gross domestic product per capita is slowing down and lagging behind the average values for the...