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Neural Networks

 

Types of Regional Profiles 2015  

Multidimensional Analysis of RD

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.

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  • Types of Regional Profiles 2014
  • Types of Regional Profiles 2013
  • Types of Regional Profiles 2012
 

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.

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  • Multidimensional Analysis of RD 2013
  • Multidimensional Analysis of RD 2012
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Latest news

Yambol District - improvement in education results and rising wages, but limited investment and little tourism 06.06.2025

Gross domestic product, incomes and pensions in Yambol district continue to grow. The share of the working...

Shumen district - growing employment and fast administration of justice, but poor education and little tourism 30.05.2025

The gross domestic product, incomes and pensions in Shumen district continue to grow. The increase in the...

Assertion of Independence or a Sign of Vulnerability: Judicial Recusals in Bulgaria in 2024 29.05.2025

Over the past three years, the number of judicial recusals in Bulgaria has slightly exceeded 60,000. In 2024...

Haskovo District - rising wages and good roads, but little investment and poor education 23.05.2025

Although per capita GDP in the district is growing relatively fast, its value remains low. Employment is...

Regions in Bulgaria
  • Blagoevgrad
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  • Lovech
  • Montana
  • Pazardzhik
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  • Silistra
  • Sliven
  • Smolyan
  • Sofia
  • Sofia (capital)
  • Stara Zagora
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  • Haskovo
  • Shumen
  • Yambol
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