Burkina Faso

Q: In what language are the data and documentation provided?

The dataset is provided in French, the official language of Burkina Faso (e.g., "HOUET", "BOBO DIOULASSO"). However, a comprehensive in user guide in English is included with the purchase, providing detailed translations and technical definitions for every field.

Q: Why do different neighborhoods (quartiers) share the same postal code?

In Burkina Faso, postal codes are assigned to delivery zones rather than individual streets or buildings. A single postal code (e.g., 90020) often serves a cluster of neighborhoods or villages within a commune. The dataset lists each quartier individually to ensure you can validate that a specific location falls within that postal zone.

Q: Does the dataset include street-level addresses?

No. The data is structured down to the Quartier (Neighborhood/Village) level, which is the finest level of granularity used by La Poste Burkina Faso for sorting. It includes Provinces, Communes, and Quartiers, but does not contain specific street names or house numbers.

Q: What does it mean if the 'quartier' field is empty?

If the quartier field is empty for a specific record, it indicates that the postal code applies to the entire commune generally, rather than being split into specific sub-districts. This is common for smaller rural communes.

Q: What is the format of the postal code?

Burkina Faso uses a 5-digit numeric postal code (e.g., 90000, 90010). This is found in the postcode column.

Q: What file formats are included in the delivery?

The package includes CSV, Excel (.xlsx), and TXT formats. All files are encoded in UTF-8 to preserve characters correctly across different operating systems.

Q: Is this a one-time purchase or a subscription?

This is a one-time purchase. The license grants perpetual use for internal business purposes with no recurring fees.

Q: What is the refund policy?

Due to the digital nature of the product, all sales are final and non-refundable. We recommend downloading the Free Sample to inspect the granularity of the 'quartier' data to ensure it meets your project requirements.

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