Nivora

Real estate market report — Septembris 2013

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

1972
Apartment deals
33093 €
Average price
617 €/m² ▼-9.8%
Average per m² (vs. previous period)
3302 / 1522
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.

14.7% Vecbūve (līdz 1945) (254 deals)
75.0% Padomju sērijveida (1946–1993) (1297 deals)
10.3% Jaunā celtne (1994–2014) (178 deals)
Building era% of dealsDealsAverage priceAvg. €/m²
Vecbūve (līdz 1945) 14.7% 254 49327 € 1007 €/m²
Padomju sērijveida (1946–1993) 75.0% 1297 16654 € 362 €/m²
Jaunā celtne (1994–2014) 10.3% 178 96907 € 2080 €/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)

617
Sep 2013

Neighborhoods with the biggest price increase

NeighborhoodAvg. €/m²Change
Maskavas priekšpilsēta 1197 €/m² ▲ 110.4%
Imanta 852 €/m² ▲ 27.0%
Jugla 647 €/m² ▲ 12.9%
Mežciems 695 €/m² ▲ 7.9%
Vecmīlgrāvis 405 €/m² ▲ 5.6%

Neighborhoods with the biggest price drop

NeighborhoodAvg. €/m²Change
Ķīpsala 3492 €/m² ▼ -28.3%
Šampēteris-Pleskodāle 1232 €/m² ▼ -24.1%
Sarkandaugava 438 €/m² ▼ -20.4%
Ilguciems 452 €/m² ▼ -18.5%
Teika 865 €/m² ▼ -13.8%

See all deals in this period

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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.