The neighbourhoods where the data and the locals disagree
We compared infrastructure scores with what residents say on forums across 64 neighbourhoods. The gaps reach 42 points, and they are the most useful information on the map.
Liveability scores measure what counts easily: bus stops, parks, schools, restaurants, hospitals. Residents measure something else: noise, construction fatigue, the feeling of safety, the neighbours. For 64 Sofia neighbourhoods we hold both layers, an infrastructure score built from open data and a sentiment score distilled from thousands of public forum discussions. Where the two layers agree, the map confirms expectations. Where they part ways, the interesting part begins.
- In most neighbourhoods the two layers agree within ~10 points: the data and the people hold the same opinion.
- The largest negative gap is in Krasna polyana 1: infrastructure 76/100 against sentiment 34/100, a 42-point difference.
- The largest positive gap is in Malinova dolina: infrastructure 39/100 against sentiment 66/100. People are buying the neighbourhood's future while the data sees its present.
- The misses are systematic: open data cannot see social context or construction fatigue, and it undervalues young communities and well-loved schools.
High scores, cool residents
| Neighbourhood | Infrastructure | Sentiment | Gap | What locals talk about |
|---|---|---|---|---|
| Krasna polyana 1 | 76 | 34 | −42 | safety perceptions in parts of the area |
| Serdika | 71 | 42 | −29 | weak reviews of local health services |
| Fondovi zhilishta | 73 | 48 | −25 | hesitation around the schools |
| Gevgeliyski | 70 | 46 | −24 | safety questions |
| Studentski grad | 77 | 58 | −19 | noise, gaps in family services |
| Mladost 1 | 73 | 55 | −18 | backlash against new construction and lost greenery |
| Banishora | 73 | 58 | −15 | mixed school reviews |
| Ivan Vazov | 76 | 62 | −14 | school complaints |
Modest scores, happy residents
| Neighbourhood | Infrastructure | Sentiment | Gap | What locals talk about |
|---|---|---|---|---|
| Malinova dolina | 39 | 66 | +27 | green, close to Vitosha, young community |
| Druzhba | 50 | 64 | +14 | affordable, the lake park |
| Hadzhi Dimitar | 57 | 68 | +11 | praised local school |
| Lyulin (overall) | 58 | 68 | +10 | strong transit, hospital nearby |
| Gorublyane | 50 | 60 | +10 | calm outer family area |
| Boyana | 65 | 74 | +9 | praised school, villa-belt prestige |
| Poligona | 65 | 72 | +7 | lots of young families |
| Suhata reka | 57 | 64 | +7 | practical 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
Social context. Krasna polyana 1 looks excellent on paper: a transit score of 94/100 and a price of €2,435/m², far below the city median for that level of connectivity. On the forums, however, discussion of the area is dominated by safety perceptions, and buyers describe walking away from viewings. Whether those perceptions are fair is a separate and difficult question; for the market they are a fact, and they are exactly what explains the price. A softer version of the same pattern shows up in Fondovi zhilishta and Gevgeliyski.
Construction fatigue. Mladost 1 is an established family district with complete infrastructure. Sentiment there is cautious because the discussions are dominated by anger at new construction and the loss of greenery. The data sees what has been built; the people see what is being lost.
Who the neighbourhood is for. Studentski grad scores 77/100 with one of the lowest quietness levels in the city (18/100). For a student that is a perfect deal; for a family with small children the forums describe the exact opposite. The same infrastructure serves different lives differently.
Community before infrastructure. The reverse case is Malinova dolina: the 39/100 infrastructure score reflects a neighbourhood still under construction. The 66/100 sentiment reflects young families who like the greenery, the closeness of Vitosha and neighbours their own age, and who are betting the services will follow. The same logic, at smaller scale, applies to Druzhba with its lake park and to Hadzhi Dimitar with its praised local school.
What this means for choosing a neighbourhood
The two layers answer different questions. Infrastructure scores tell you what the neighbourhood has today. The voice of residents tells you what living there feels like and where the place is heading. Before renting, the first layer is enough; before buying, both should agree. The neighbourhoods in the first table deserve an in-person visit and a conversation with neighbours before any signature; the ones in the second table are often a better deal than the rankings suggest.
Methodology & caveats
- Infrastructure score: a balanced weighting of 10 dimensions built from open data (OSM, GTFS timetables, the building-permit register): walkability, transit, greenery, schools, universities, health, food and bars, sports, quietness, construction activity.
- Sentiment: a hand-distilled rating of public forum discussions in which the neighbourhood is the topic. The main source skews toward a family audience, so the rating mostly reflects the family perspective. Every rating carries a confidence level (high/medium); the tables include only neighbourhoods with enough discussion volume.
- Coverage: 64 neighbourhoods with both layers. Gap = sentiment minus infrastructure score.
- Perceptions are perceptions. Forum sentiment measures what people say, which can lag the reality of a neighbourhood or run ahead of it. We treat it as a market signal, alongside prices, and the real check remains a visit in person.
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 mapPress: the full dataset and methodology are available on request via sofiahoods.com. Please credit and link SofiaHoods when citing these figures.