Nivora

Real estate market report — Novembris 2012

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

1815
Apartment deals
38830 €
Average price
740 €/m² ▲16.9%
Average per m² (vs. previous period)
2802 / 1336
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.

12.5% Vecbūve (līdz 1945) (188 deals)
72.5% Padomju sērijveida (1946–1993) (1095 deals)
15.0% Jaunā celtne (1994–2014) (227 deals)
Building era% of dealsDealsAverage priceAvg. €/m²
Vecbūve (līdz 1945) 12.5% 188 75018 € 1299 €/m²
Padomju sērijveida (1946–1993) 72.5% 1095 16089 € 352 €/m²
Jaunā celtne (1994–2014) 15.0% 227 85947 € 1558 €/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)

740
Nov 2012

Neighborhoods with the biggest price increase

NeighborhoodAvg. €/m²Change
Torņakalns 765 €/m² ▲ 76.8%
Maskavas priekšpilsēta 776 €/m² ▲ 68.8%
Ziepniekkalns 882 €/m² ▲ 38.2%
Dārzciems 572 €/m² ▲ 28.3%
Ķengarags 477 €/m² ▲ 19.6%

Neighborhoods with the biggest price drop

NeighborhoodAvg. €/m²Change
Sarkandaugava 290 €/m² ▼ -36.4%
Mežciems 564 €/m² ▼ -14.4%
Bolderāja 366 €/m² ▼ -9.5%
Šampēteris-Pleskodāle 1241 €/m² ▼ -6.3%
Pļavnieki 514 €/m² ▼ -4.9%

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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.