Nivora

Real estate market report — Jūnijs 2013

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

1690
Apartment deals
31475 €
Average price
590 €/m² ▼-7.8%
Average per m² (vs. previous period)
2745 / 1312
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.

15.2% Vecbūve (līdz 1945) (217 deals)
75.2% Padomju sērijveida (1946–1993) (1070 deals)
9.6% Jaunā celtne (1994–2014) (136 deals)
Building era% of dealsDealsAverage priceAvg. €/m²
Vecbūve (līdz 1945) 15.2% 217 46725 € 937 €/m²
Padomju sērijveida (1946–1993) 75.2% 1070 18049 € 405 €/m²
Jaunā celtne (1994–2014) 9.6% 136 80969 € 1418 €/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)

590
Jūn 2013

Neighborhoods with the biggest price increase

NeighborhoodAvg. €/m²Change
Zolitūde 892 €/m² ▲ 39.3%
Vecmīlgrāvis 471 €/m² ▲ 35.1%
Jugla 734 €/m² ▲ 28.3%
Imanta 834 €/m² ▲ 10.7%
Bolderāja 391 €/m² ▲ 7.9%

Neighborhoods with the biggest price drop

NeighborhoodAvg. €/m²Change
Šampēteris-Pleskodāle 713 €/m² ▼ -48.6%
Sarkandaugava 312 €/m² ▼ -44.9%
Maskavas priekšpilsēta 440 €/m² ▼ -34.4%
Āgenskalns 973 €/m² ▼ -20.9%
Ziepniekkalns 593 €/m² ▼ -15.1%

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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.