crishernandezmaps

Datos catastrales del SII de Chile — 9.5M predios, 343 comunas, poligonos vectorizados. Plataforma de distribucion gratuita.

23
10
100% credibility
Found Apr 15, 2026 at 22 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source pipeline that processes public Chilean property registry data into downloadable vector maps and spreadsheets for all communes, hosted at catastral.cl.

How It Works

1
📰 Discover free property data

You learn about a treasure trove of public property details for every neighborhood in Chile, made easy to use.

2
🌐 Visit the website

Head to catastral.cl to explore maps and lists of all 343 cities and towns.

3
🔍 Pick your area

Select the commune or city you're interested in, like your hometown or a potential investment spot.

4
📥 Download your files

Grab simple spreadsheets with property values and sizes, plus map files showing exact boundaries.

5
📊 Open in everyday tools

Load the spreadsheets into Excel for numbers or free map software to see shapes and locations.

🎉 Unlock insights

Now you can analyze land values, spot opportunities, or plan your project with accurate, ready-to-use data.

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Star Growth

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AI-Generated Review

What is catastral.cl?

Catastral.cl is a Python pipeline that extracts, vectorizes, and freely distributes Chile's SII cadastral data—9.5M properties across 343 communes with fiscal valuations, land use, coordinates, and vector polygons. It cracks open public data trapped in 3GB fixed-width text files, rate-limited APIs, and raster map tiles, delivering ready-to-use GeoPackages (EPSG:4326), enriched CSVs (112 columns), and raw exports per commune via a simple web platform. Developers grab a base de datos github-style dataset for geospatial analysis without scraping or paying intermediaries.

Why is it gaining traction?

No more manual API hammering or raster hacks—get precise 30cm polygons joined to avaluo fiscal, supTerreno, and destino data out of the box, covering 7M+ matched properties. It beats paid vendors charging $2K+ per commune by automating the full chain: massive API pulls via proxies, GDAL vectorization, and spatial joins. Ciencia de datos github projects like this unlock real estate intel fast, with catastral clave-style lookups baked in for predios.

Who should use this?

Real estate analysts querying valorTotal by comuna or manzana; urban planners mapping subutilized suelo; location intelligence devs at retail/energy firms building prospeccion tools. Chilean/LatAm data scientists tired of datos bolivia github hunts or clave catastral equivalents (chihuahua, queretaro, el salvador) will love the vector-ready format for QGIS, PostGIS, or GeoPandas.

Verdict

Solid niche win for Chilean geo work—download and analyze immediately—but low 19 stars and 1.0% credibility signal early-stage maturity; docs are thorough but expect some pipeline tweaks for production. Grab it if you're in the market, skip otherwise.

(198 words)

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