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SofiaHoods Insights · Data analysis

The neighbourhoods where the statistics and people's opinions diverge

For 64 Sofia neighbourhoods we compared two things: how the area looks in the data (transit, parks, schools, services) and what the people who live there or house-hunt there actually say. Both are scored from 0 to 100, and in places the two views land 42 points apart. Those disagreements are often the most useful part of the map.

10 June 2026 · SofiaHoods analysis of OSM/GIS data and public forum discussions

Liveability scores usually look at the visible: are there bus stops, a metro, a park, a school, a hospital, restaurants, sport. That matters, but it is only part of the picture.

People feel other things too: the noise under the window, the mud from the construction sites, whether the walk home at night feels safe, who the neighbours are, whether the neighbourhood is improving or being overbuilt.

So for 64 Sofia neighbourhoods we laid two layers on top of each other: an infrastructure score built from open data and an overall sentiment distilled from thousands of public forum opinions. Where the two agree, the map confirms expectations. Where they diverge, the genuinely interesting part begins.

Key findings
Sentiment minus infrastructure score: the biggest gaps
Krasna polyana 1−42
Serdika−29
Fondovi zhilishta−25
Gevgeliyski−24
Studentski grad−19
Gorublyane+10
Lyulin (overall)+10
Hadzhi Dimitar+11
Druzhba+14
Malinova dolina+27
Left of the line: residents are cooler than the data. Right: residents are warmer. Source: SofiaHoods, 64 neighbourhoods.

High scores, cooler opinions from residents

NeighbourhoodInfrastructureSentimentGapWhat locals talk about
Krasna polyana 17634−42safety perceptions in parts of the area
Serdika7142−29weak reviews of local health services
Fondovi zhilishta7348−25hesitation around the schools
Gevgeliyski7046−24safety questions
Studentski grad7758−19noise, few family services
Mladost 17355−18frustration with new construction and vanishing greenery
Banishora7358−15mixed school reviews
Ivan Vazov7662−14school complaints

Modest scores, happier residents

NeighbourhoodInfrastructureSentimentGapWhat locals talk about
Malinova dolina3966+27green, close to Vitosha, young community
Druzhba5064+14affordable, the lake park
Hadzhi Dimitar5768+11praised local school
Lyulin (overall)5868+10strong transit, hospital nearby
Gorublyane5060+10calm outer family area
Boyana6574+9praised school, villa-belt prestige
Poligona6572+7lots of young families
Suhata reka5764+7practical choice, good school catchment

Infrastructure: balanced score across 10 dimensions (transit, greenery, schools, health, quietness and more), 0–100. Sentiment: distilled rating of public forum discussions about the neighbourhood, 0–100. Gap = sentiment minus infrastructure.

What people see that the data misses

The social context

Krasna polyana 1 looks strong on paper. Its transit score is 94/100, and at around €2,435/m² it costs well below the city median for a neighbourhood with that level of connectivity.

On the forums, though, the conversation keeps returning to safety. Some buyers describe giving up on viewings after conversations or first impressions of the area. Whether those perceptions are fair to the whole neighbourhood is a separate and difficult question. For the market they are a real factor, and probably part of why the prices stay low.

A similar, softer version of the same picture shows up in Fondovi zhilishta and Gevgeliyski.

Construction fatigue

Mladost 1 is an established family district with a metro, services and complete infrastructure. In the data it looks stable. In the opinions you can read fatigue: with the new construction, with the loss of green space, with the sense that the neighbourhood is getting denser and more stressful.

The data sees what has already been built. The people also feel what is being lost.

Who the neighbourhood is actually for

Studentski grad has a high infrastructure score (77/100) and one of the lowest quietness levels in the city: 18/100.

For a student that can be a nearly ideal combination: everything is close, there is life, there are places to go out, there is transit. For a family with a small child the same environment can feel like the exact opposite: loud, chaotic and hard to live with.

The same infrastructure works differently for different people.

Community comes before infrastructure

Malinova dolina is the mirror case. Its infrastructure score is only 39/100 because the neighbourhood is still being finished. Services are missing, some streets lag behind, construction continues.

Yet sentiment sits at 66/100. People like the closeness of Vitosha, the greenery, the young families around them and the sense that the neighbourhood has a future. They are buying the expectation that the place will keep developing, alongside what is already there today.

On a smaller scale the same logic shows up in Druzhba, with its lake park, and in Hadzhi Dimitar, where the local school keeps earning good reviews.

What this means when you choose a neighbourhood

The two layers answer different questions.

The infrastructure score tells you what the neighbourhood has today. The opinions of residents tell you what living there feels like.

If you are renting for a year or two, the amenities are usually enough to go on: transit, shops, the distance to work, green space.

If you are buying, look more carefully. Ideally the data and the opinions point in the same direction. When they point apart, treat it as a signal to go and check the place yourself.

The neighbourhoods in the first table deserve a walk at different hours of the day and a conversation with people who already live there. The ones in the second table often look weaker in the rankings but can turn out to be a better choice than the dry numbers suggest.

Methodology & caveats

The neighbourhood's voice, on the map itself.

The "what locals say" summaries for every neighbourhood, with links to the source discussions, are part of Sofia Pro. The map, the scores and the rankings are free.

Explore the map

Press: the full dataset and methodology are available on request via sofiahoods.com. Please credit and link SofiaHoods when citing these figures.