Valuing a house in Baku in 2026: what the data shows

Houses in Baku are priced very differently from apartments. An apartment is a slice of a building - the price moves with floor, layout, and complex name, but the underlying square metre is fairly standardised. A house carries land underneath it, and that land has a separate value that can swing the total by 2-3x depending on which street it sits on. Valuing a house properly means thinking like an appraiser: the price is the land plus the building plus the renovation plus what the yard adds, not one mysterious number on a listing.

Until now Mənzil.ai only valued apartments. Starting today the same on-demand AI valuation works for houses (Həyət evi / Bağ evi) - paste a bina.az link to a private house and you'll get a fair-price range, an explanation of what drives that number, and a fact-check of the listing.

How Baku house prices are actually set

A working Baku agent will price a house additively, not holistically. The mental model is:

price ≈ land value  +  construction cost  +  renovation cost  +  yard value

Each component breaks down further:

1. Land value is plot size × per-sot rate of the district. A sot of land in central Səbail isn't priced like a sot in Mərdəkan - the spread is roughly 3-15× across the city. The model derives a per-district per-sot rate from training data and uses it as a structural prior, exactly the way agents do.
2. Construction cost is floor area × building rate. Standard Baku construction sits around 1,000 ₼/m² for masonry; premium materials and finishes push it higher, but the floor is rarely below 600 ₼/m² for a habitable house.
3. Renovation cost is added when the house is renovated rather than shell-condition. Quality renovation ("avropa təmiri") adds 200-700 ₼/m² depending on materials. The model sees the renovation flag and budgets accordingly.
4. Yard / landscape value is the hardest to formalise. Mature trees, hardscape, swimming pool, well-finished gates - these add real value, but it's mostly captured indirectly through the description and through neighbourhood comparables.

When you sum these up you get a "cost-based fair value" for the house. If the listing price is 30% above that estimate without an obvious reason (sea view, premium street, recent luxury renovation), it's worth pushing back. If it's 30% below, take a careful look at the documents - that gap usually has an explanation hidden in the kupça or zoning.

How Baku is segmented for houses

Houses follow a different geography from apartments. The premium zones aren't always where the priciest apartments are - you'll find expensive houses in places where apartments are mid-tier, and vice versa.

Tier	Where	Approx. ₼/m² for the building (excl. land)
Premium central villas	Səbail (around the boulevard, İçəri Şəhər perimeter), parts of Yasamal	4,000-9,000
Coastal premium	Sea Breeze, Bilgəh beachside, parts of Mərdəkan	2,500-5,500
Standard urban houses	Xətai, Binəqədi, Suraxanı	1,200-2,400
Suburban garden houses	Mərdəkan inner blocks, Buzovna, Şüvəlan, Sabunçu	700-1,500
Outer Apsheron	Hövsan, Pirallahı, Lökbatan, Qaraçuxur	500-1,000

These are rough ranges for the building component only. The land component is layered on top using the per-sot district rate, and that's what makes the same 200 m² house cost 350K in Mərdəkan and 1.2M in central Səbail.

What our model uses

The houses model is trained on roughly 12,000 real bina.az listings and uses about 130 features. The most important ones, in order of how much they shape the predicted price:

1. Cost decomposition - land_sot × district rate + area × construction rate + renovation × area. The single strongest signal in the model.
2. Floor area and plot area, both directly and as a ratio. A 300 m² house on 4 sot is a different product than a 300 m² house on 12 sot.
3. Per-hex price floor - the model carries a 3 km hex grid of typical price-per-m² and price-per-sot from training rows, so it knows "houses on this block typically clear at X".
4. Distance to centre, sea, metro, parks - the same proximity features the apartment model uses.
5. Bill of sale (kupça) - having current legal documentation on the house meaningfully increases the price, because banks won't mortgage without it.
6. Renovation status - the binary "is this renovated" flag, plus description signals like marble, parquet, premium brand appliances.
7. Description text via TF-IDF/SVD - the model picks up subtle phrasing that correlates with quality (designer, european, italian, smart home).

How accurate is the houses valuation

Honest numbers from the latest evaluation:

• For a typical 100K-1M ₼ house outside the urban core, the model's median error is ~12%, and the prediction lands within ±20% of the listing price for two thirds of houses.
• For premium central houses (above 800K ₼ in Səbail / Yasamal / 0-5km from centre), the median error grows to ~18-20% and the band widens accordingly.
• For very small houses (under 50K ₼), the model is also less reliable - those are usually unfinished, partial, or have data quality issues we can't detect from a listing.

This is genuinely useful as a second opinion for the average buyer, but for a million-manat purchase decision in central Baku you should still consult an independent appraiser. Our verdict copy will say so when the listing falls in that segment.

What to check before you put down a deposit

The model handles the price math. There are a few things only you can check:

• Mülkiyyət sənədi (kupça / çıxarış) - confirm the seller has current legal documentation for both the building AND the land plot. For houses these are often two separate documents, and a missing land kupça is a much bigger problem than a missing building one.
• Plot size, on the ground - measure the plot yourself or check the cadastre. Listings sometimes report the registered plot size while a neighbour has encroached, and you inherit that dispute.
• Building age and structural state - houses don't have a managing company that maintains shared infrastructure. A 40-year-old roof, old gas piping, cracked retaining walls - all of these are your problem alone after the sale.
• Zoning and adjacent land - check whether a tower can go up next door, whether the area is zoned residential, whether the road is officially recognised. These don't show up in the listing.

Try it

Paste a bina.az house link into the analyzer and you'll get the fair-price band, the cost decomposition, and a fact check of the listing. Free, no account needed for the first analysis. Tell us what the model gets wrong - we use the corrections to improve.