Neural Networks
| Types of Regional Profiles 2015 | ||
|
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
The new planning districts: Formula 3+1 21.02.2025
In connection with the submitted for public discussion Draft Decision on granting a mandate to the National...
Montana District – lowest taxes and little waste, but poor education and aging population 17.02.2025
Montana is among the districts with relatively low incomes and living standards. Employment and unemployment...
Sofia restores 43% share in national GDP 14.02.2025
The latest regional GDP figures indicate a normalisation after the various anomalies in energy, agriculture...
Lovech District: low taxes and decreasing poverty, but worsening labor market 07.02.2025
The gross domestic product per capita in Lovech district is slowing down. Poverty is decreasing, but remains...