Nivora

Real estate market report — Marts 2013

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

1762
Apartment deals
33357 €
Average price
640 €/m² ▲1.9%
Average per m² (vs. previous period)
2557 / 1357
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.

14.5% Vecbūve (līdz 1945) (222 deals)
74.0% Padomju sērijveida (1946–1993) (1134 deals)
11.5% Jaunā celtne (1994–2014) (177 deals)
Building era% of dealsDealsAverage priceAvg. €/m²
Vecbūve (līdz 1945) 14.5% 222 55149 € 1167 €/m²
Padomju sērijveida (1946–1993) 74.0% 1134 17029 € 369 €/m²
Jaunā celtne (1994–2014) 11.5% 177 73308 € 1370 €/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)

640
Mar 2013

Neighborhoods with the biggest price increase

NeighborhoodAvg. €/m²Change
Maskavas priekšpilsēta 616 €/m² ▲ 61.7%
Jugla 674 €/m² ▲ 30.6%
Centrs 1587 €/m² ▲ 24.3%
Teika 893 €/m² ▲ 19.1%
Sarkandaugava 445 €/m² ▲ 17.6%

Neighborhoods with the biggest price drop

NeighborhoodAvg. €/m²Change
Čiekurkalns 439 €/m² ▼ -25.5%
Šampēteris-Pleskodāle 943 €/m² ▼ -14.7%
Vecmīlgrāvis 347 €/m² ▼ -10.0%
Dārzciems 571 €/m² ▼ -10.0%
Mežciems 797 €/m² ▼ -4.5%

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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.