— nouvelle-aquitaine · 40

Real estate prices in Saint-Vincent-de-Tyrosse — investor simulator

Real estate market in Saint-Vincent-de-Tyrosse

In Saint-Vincent-de-Tyrosse, the price/sqm is around 3 575 € (-3,6 % over 5 years), a attractive market for investors (grade B/5).

Median price/sqm 3 575 €/m² DVF — DGFiP · median over 47 sales (2025)
Apartment price 3 458 €/m² DVF — DGFiP · median over 18 sales (2025)
House price 3 642 €/m² DVF — DGFiP · median over 3 sales (2025) — indicative, few sales
Median rent (apt) 13,7 €/m² ANIL — Carte des loyers · 2025
5-year trend -3,6 % DVF historique 5y
5y demography +4,3 % INSEE pop_evol

What investor yield in Saint-Vincent-de-Tyrosse?

Indicative calculation. Excludes taxes, notary fees, vacancy and works. 5-year attractivity index crosses DVF + INSEE demography + Sit@del permits + Filocom vacancy.

    Gross annual yield

    5-year attractivity index: B (60/100)

    Estimated 5y capital gain: +-4 %

    — Read more

    Understanding the Saint-Vincent-de-Tyrosse real estate market

    Saint-Vincent-de-Tyrosse is a town in the nouvelle-aquitaine region where the median price per sqm stands around 3 575 €/sqm based on DVF transactions over the last 5 years (DGFiP Etalab). The ANIL median apartment rent is 13,7 €/sqm/month, corresponding to an indicative gross yield of 4,6 % before taxes, fees and vacancy.

    The town is in strong demographic growth over 5 years (4,3 %), with construction activity low (little new construction, tight market on existing stock). Housing vacancy is low (tight rental market, secure rents). These three factors crossed with the recent price trend (-3,6 % over 5 years) determine the attractivity grade B shown above.

    Note: DVF covers registered transactions excluding non-finalised off-plan sales, and ANIL publishes medians (not averages — the rent distribution is pulled up by exceptional properties). For a fine analysis at the exact address, use the simulator above or the town's full profile.

    — Your questions

    Frequently asked questions

    Are the prices/sqm in Saint-Vincent-de-Tyrosse expensive?

    The median DVF price is 3 575 €/sqm. For a 60 sqm apartment, that is around 214 500 € excluding acquisition fees (count +7 to 8 % notary fees in the existing market).

    What rental yield can I expect in Saint-Vincent-de-Tyrosse?

    The indicative gross yield is 4,6 % (median rent 13,7 €/sqm/month × 12 ÷ median price 3 575 €/sqm). The net yield after charges, property tax, vacancy and taxes is generally 30 to 45 % lower. Use the simulator above to personalise it to your case.

    What does the B 5-year attractivity grade mean concretely?

    The index crosses 4 factors over the last 5 years: DVF price trend, INSEE demographic trend, Sit@del building permits and Filocom vacancy. B corresponds to an attractive market (solid fundamentals). A good yield/risk trade-off. The full method is documented in the Methodology section.

    Is the estimated 5-year capital gain of +-4 % guaranteed?

    No, it is not a guarantee. The estimate extrapolates the recent DVF trend modulated by projected INSEE demographics. A real estate crisis, a sustained rate hike or a local shock (industrial site closure, loss of attractiveness) may invalidate this projection. Treat it as a cautious benchmark, not a promise.

    Is it better to buy an apartment or a house in Saint-Vincent-de-Tyrosse?

    The median apartment price/sqm in Saint-Vincent-de-Tyrosse is typically 5 % above the house price/sqm (houses offer more usable surface but a lower €/sqm ratio thanks to the land share). For a rental investment, the apartment generally offers a better yield (more tenants, simpler management, lower urban vacancy). The house is rather preferable for a family primary residence or a heritage project with valuable land.

    Sources: DVF (DGFiP Etalab) — rolling 5-year medians, ANIL — rent map, INSEE pop_evol — 5-year demographics, Sit@del — 24-month building permits, Filocom (DGFiP / SDES) — housing vacancy. The attractivity grade and 5-year capital gain are NTYP estimates (proprietary weighting of the data above, independent of any affiliation) — see our methodology.

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