Nivora

Real estate market report — Augusts 2014

A real report on the Latvian real estate market, based on VZD-registered deals.

2144
Apartment deals
43325 €
Average price
798 €/m² ▲5.1%
Average per m² (vs. previous period)
3014 / 1495
Building / land deals

Key insights

Deal breakdown by building era

Older buildings and newer developments don't just cost differently — they also make up very different shares of the total deal count. This chart shows what percentage of all this period's apartment deals happened in each era.

15.5% Vecbūve (līdz 1945) (293 deals)
69.6% Padomju sērijveida (1946–1993) (1314 deals)
14.9% Jaunā celtne (1994–2014) (282 deals)
Building era% of dealsDealsAverage priceAvg. €/m²
Vecbūve (līdz 1945) 15.5% 293 81411 € 1495 €/m²
Padomju sērijveida (1946–1993) 69.6% 1314 18760 € 410 €/m²
Jaunā celtne (1994–2014) 14.9% 282 87585 € 1609 €/m²

How it's calculated: the building era is determined by the year VZD registered the building as put into service (not the \"building series\" mentioned in listings — that's available for real transaction data too rarely to base reliable statistics on). Eras: Pre-war — {% trans "līdz 1945. gadam" %}; Soviet-era prefab — 1946–1993 ({% trans "galvenokārt tipveida paneļu un ķieģeļu mājas" %}); New building — 1994–2014; Newest developments — 2015 and later. Percentages are calculated from deals where the building year is known; eras with fewer than 5 deals in the period aren't shown separately.

Price trend (€/m² by month)

798
Aug 2014

Neighborhoods with the biggest price increase

NeighborhoodAvg. €/m²Change
Aplokciems 1746 €/m² ▲ 95.9%
Grīziņkalns 848 €/m² ▲ 73.8%
Mežciems 780 €/m² ▲ 24.8%
Ķengarags 585 €/m² ▲ 20.5%
Torņakalns 523 €/m² ▲ 20.3%

Neighborhoods with the biggest price drop

NeighborhoodAvg. €/m²Change
Sarkandaugava 564 €/m² ▼ -21.0%
Maskavas priekšpilsēta 425 €/m² ▼ -19.5%
Daugavgrīva 344 €/m² ▼ -15.4%
Jugla 624 €/m² ▼ -14.9%
Zolitūde 883 €/m² ▼ -9.4%

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Data from the State Land Service's (VZD, data.gov.lv) open data. Calculations are done automatically, without AI-generated analysis.