Government statistics for 845 districts — scattered across dozens of national portals and languages — cleaned, normalized and unified into one comparable dataset. It shows what the official data says. It does not predict.
Three steps, one dataset: collect official statistics, unify them, make them explorable.
We pull official statistics from national open-data portals — Eurostat, Destatis, INKAR, data.gov.il, Dubai Land Department, GASTAT, the World Bank and more.
Fragmented, multi-language sources are cleaned, geocoded, deduplicated and normalized into one comparable schema — months of unglamorous ETL, done once.
One dataset: query the API, browse the interactive map, compare regions, and re-weight the transparent composite index for your own use case.
The same sourcing and normalization applied to every country — so a district in Germany and a district in Qatar sit in the same comparable dataset.
SkyMind is descriptive. It doesn't forecast events or rate the future — it shows what the official data says, with the sourcing and the method fully open.
Built for teams that make high-stakes regional decisions and need the underlying data to be clean and comparable.
Compare districts before capital allocation — prices, demographics, transaction data and infrastructure metrics, side by side in one schema.
Sub-national data unified across five countries — consistent, comparable, exportable, with every figure traceable to its source.
Cited, normalized regional data with a transparent, documented methodology you can reproduce and re-weight yourself.
Tell us your target regions and use case — we'll send a sample of the dataset and walk you through it.
We'll reach out within 24 hours with a sample of the dataset for your region.