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
Sofia District - high investments and rising wages, but poor education and bad roads 25.04.2025
Sofia District recorded the lowest growth of GDP per capita and lost its second place in the ranking. Wages...
Smolyan district - good education and low crime rate, but ageing population 22.04.2025
Gross domestic product, wages and pensions in Smolyan continue to increase. The poverty rate is decreasing....
Sliven District - good demography and growing employment, but little investment and poor education 14.04.2025
Although the gross domestic product per capita in Sliven is increasing, it is among the lowest in the...
Wages and pensions continue to increase, but are still relatively low. The poverty rate in the district is...