A property value refers to the estimated worth of a property. This worth depends on some factors like the :
- The location : It is one of the main criterion of the valuation of a property. Indeed, the location includes for instance the city, the neiborhood, the proximity to the transports or even the exposition to the sun.
- The area of the house : The property's area is one of the main factors, indeed to estimate the worth of a property we have to multiply the square meter price by the are of dwelling. The layout and distribution of rooms is also very important to estimate this part of the worth.
- The age : The year of construction of the building has also to be taken into account. Indeed the construction tends to degrade over time unless regular maintenance is performed.
This study was made in order to project into the future and figure out what the real estate field looks like in France. Furthermore we decided to focus this study on Paris and France where we actually live. That's why this study permits us to combine the pleasant and the useful. Focusing on Paris permitted us to see disparities between rural and urban areas.
Moreover, this study could be interesting for potential investors with an interest in acquire real estate in France.
You can find the dataset necessary for the analysis on following link : https://www.data.gouv.fr/fr/datasets/demandes-de-valeurs-foncieres/
This dataset was taken on the French governement website in open source. It is published every year and retrace the property sales history on the French territory (DOM TOM included) for the last 4 years and comes from notarial deeds. We made the study on the 2019 edition.
On this datset we can find :
- Information about the property (adress, type of property, measured area, number of rooms and other details)
- Type of property transfer
- Worth of the property
| Indicator n° | Topic |
|---|---|
| Indicator 1 | Region with the most property purchases |
| Indicator 2 | Number of houses per region |
| Indicator 3 | Price of the square meter per region |
| Indicator 4 | Ranking of average measured area per department |
| Indicator 5 | Number of transfers per trimester |
| Indicator 6 | Difference between measured surface and living area |
| Indicator 7 | In Paris, average number of rooms in a flat per department |
| Indicator 8 | Difference between average measured surface in a house and a flat |
| Indicator 9 | Price of the square meter following the type of road (avenue, boulevard, rue, allée, ect ...) |
| Indicator 10 | Repartition of industrial factories per region |
| Indicator 11 | Number of transfers per year |
| Indicator 12 | Evolution of transfer type in France |
| Indicator 13 | Evolution of transfer type in Paris |
| Indicator 14 | Evolution of the price of the square meter per region |
- The Jupyter Notebook