According to the Latio index for 2025, mature conifer forest in Latvia costs about €24,000/ha, while forest land after a clear-cut costs €1,600–2,800/ha. The stand sets the price first; region and logistics move it within that corridor.
Latvia is not one pricing zone
An average euro-per-hectare figure does not say much on its own. Without region, access and stand structure it is just a top number sitting over a very wide range. Zemgale and the greater Riga area have historically traded higher; the eastern regions and harder-to-reach districts trade lower. The same pattern repeats inside each region — a mature conifer stand with road access is not the same product as the young stand next door.
According to the Latio index (2025), mature conifer forest costs about €24,000/ha and mature birch about €17,500/ha. The average price in large investor deals is about €2,700/ha — it covers properties of every age, clear-cuts included. Forest land after a clear-cut, by region (Latio, Q3 2025; the range runs from peat to dry mineral soils):
- Kurzeme: €1,600–2,800/ha, about €2,200/ha on average — the priciest dry soils
- Zemgale: €1,600–2,700/ha, about €2,150/ha on average
- Vidzeme: €1,600–2,500/ha, about €2,050/ha on average
- Latgale: €1,600–2,300/ha, about €1,950/ha on average
- Riga region: Latio publishes no separate row; use the Zemgale level as a benchmark
Why the east is cheaper
The price gap between Zemgale and Latgale is not explained by stand quality alone. First, distance to industrial centres and sawmills: haulage distances in Zemgale are shorter, and the logistics costs a buyer folds into the offer come down with them. Second, a denser road network reduces the logistics discount applied to harder-to-reach properties.
Stand structure deepens the gap. Zemgale averages a higher share of conifers with greater commercial value than the broadleaf-heavy stands typical in Latgale. Demand stacks on top: closer to Riga, institutional and private investor activity is more pronounced and the land market is more liquid — deals close faster, and finding the next buyer takes less time. The combination of logistics, stand quality and demand produces the premium of the western and central regions — about 20 % for bare land on the best soils, and more for land with forest, where stand composition adds to it.
What drives price variation within a single region
Even within a single parish, per-hectare prices can differ threefold. The strongest driver is usually age: a mature pine stand over 60 years old and a young stand under 20 years carry a 3–5× price difference. After age comes species — conifers versus soft broadleaves typically generate a 1.5–2× price gap.
Logistics runs in parallel with stand quality. Existing road access versus none shifts the price by 10–25%, because without a road the buyer prices logistics directly into the offer. A protected zone or micro-reserve cuts another 20–50% off, depending on how much of the compartment is unavailable for harvest.
The last factor is the inventory itself. Data older than 10 years introduces uncertainty about the current state of the stand, and a buyer turns that uncertainty into a risk margin in the offer. A fresh inventory before the sale removes that margin.
Why market reports need inventory context
Market reports give a regional benchmark, but parcel-level value depends on the quality of the inventory. The Latio median tells you where the market typically sits; it does not tell you where a specific compartment should sit inside that range.
In practice, the price is the gap between two information layers: the market median, and the stand-specific adjustment up or down. Without VMD field data the median stays absolute, but for a specific property it is neither the floor nor the ceiling.
The MezaData calculator combines Latio regional benchmarks with VMD inventory data for each compartment, so the range reflects the actual stand parameters rather than the regional average.