Nivora

Real estate market report — Augusts 2013

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

2150
Apartment deals
35151 €
Average price
684 €/m² ▲11.4%
Average per m² (vs. previous period)
3431 / 1462
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.

13.4% Vecbūve (līdz 1945) (243 deals)
76.4% Padomju sērijveida (1946–1993) (1387 deals)
10.2% Jaunā celtne (1994–2014) (185 deals)
Building era% of dealsDealsAverage priceAvg. €/m²
Vecbūve (līdz 1945) 13.4% 243 49795 € 942 €/m²
Padomju sērijveida (1946–1993) 76.4% 1387 17534 € 388 €/m²
Jaunā celtne (1994–2014) 10.2% 185 111131 € 1932 €/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)

684
Aug 2013

Neighborhoods with the biggest price increase

NeighborhoodAvg. €/m²Change
Šampēteris-Pleskodāle 1623 €/m² ▲ 36.4%
Torņakalns 467 €/m² ▲ 30.1%
Maskavas priekšpilsēta 569 €/m² ▲ 23.0%
Vecmīlgrāvis 384 €/m² ▲ 21.6%
Ķengarags 464 €/m² ▲ 21.3%

Neighborhoods with the biggest price drop

NeighborhoodAvg. €/m²Change
Dārzciems 505 €/m² ▼ -37.2%
Jugla 573 €/m² ▼ -8.4%
Zolitūde 953 €/m² ▼ -5.7%
Pļavnieki 567 €/m² ▼ -5.2%
Centrs 1335 €/m² ▼ -4.4%

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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.