Practical guide · Italy

KML data in Italy: sources and checks

By datafromgov.com · Published 2026-10-28

Source export: 2026-08-30

The counts describe a saved catalogue. Check the source for current files and terms.

The saved catalogue lists 2,562 resource records with a KML label across 13 publishers.

This guide identifies sources in Italy and gives a procedure for the format.

The measurements describe the export dated 2026-08-30. They do not establish current download availability.

Open the government source →Inspect the country catalogue

Matching format declarations
2,562
Publishers in this sample
13
Share of listed declarations
1.3%

What the source records show

The selected country export contains 204,241 listed format declarations across 245 publishers.

KML accounts for 1.3% of that declaration total.

A resource record describes a file or a service. Several records can belong to one dataset.

The export retains up to 20 format labels per publisher. It excludes some small publishers and empty format labels.

Choose a source

The largest matching entry is Regione Toscana.

It contributes 1,663 matching resource records, or 64.9% of this format sample.

The next entry contributes 322 matching records.

A large count indicates more catalogue records. It does not establish accuracy, completeness, or public access.

  1. Open a source record from the examples below.
  2. Confirm the geographic area and observation period on the source page.
  3. Read the licence for the selected dataset.
  4. Select the required file or service from the source page.

Inspect the format

KML describes geographic features and map presentation. A file can contain geometry, styles, and external links.

  1. Identify the placemarks and geometry types.
  2. Check coordinate order and altitude information.
  3. Inspect external network links before you load them.
  4. Keep feature names with their attribute values.
  5. Compare geometry counts after conversion to another format.

Check the result

A format label does not verify the file contents. A source can change its files after the catalogue export.

A metadata modification date can describe a catalogue edit. It does not necessarily describe the latest observation.

  1. Record the source URL, access date, and dataset title.
  2. Check the units and the definitions of the fields.
  3. Compare a small sample with the source documentation.
  4. Retain an original copy before any conversion.
  5. State any missing periods, regions, or values in the result.

How this comparison works

The calculation sums listed format declarations from the publisher export.

It groups equivalent format labels and retains separate counts for XLS, XLSX, TIFF, and GeoTIFF.

Compound labels can remain outside the selected format group. The source files retain the original labels.

The source records can include several versions of the same data. The totals do not count unique observations.

The examples are selections from stored catalogue samples. They do not list every matching dataset.

Publishers with this format

PublisherMatching resource recordsShare of format sample
Regione Toscana1,66364.9%
Regione Lombardia32212.6%
Comune di Bologna30111.7%
Regione Basilicata1455.7%
Regione Emilia Romagna361.4%
Comune di Matera301.2%
Comune di Palermo240.9%
Comune di Rimini180.7%
Provincia Autonoma di Trento100.4%
Comune di Messina40.2%

Dataset examples from the source catalogue

These titles come from stored source records. Some records lack a direct dataset URL.

  • Vincolo cimiteriale

    Regione Toscana

    Formats: geojson, kml, shp, rdf, zip, gml · Metadata date: 2026-08-22

    Find this exact title on the source portal.

  • Sensibilità degi acquiferi

    Regione Toscana

    Formats: kml, rdf, zip, gml, shp, geojson · Metadata date: 2026-08-22

    Find this exact title on the source portal.

  • Mappa Centri Antiviolenza

    Regione Lombardia

    Formats: zip, geojson, kml, kmz · Metadata date: 2026-08-22

    Find this exact title on the source portal.

  • AmbitiScolastici_infanzia

    Regione Lombardia

    Formats: rdf, xml, csv, kml, geojson, tsv · Metadata date: 2026-08-22

    Find this exact title on the source portal.

  • Elezioni politiche 2013 - Numeri civici per sezione elettorale

    Comune di Bologna

    Formats: xls, rdf_turtle, kml, parquet, octet, csv · Metadata date: 2026-08-22

    Find this exact title on the source portal.

  • CARTA TECNICA COMUNALE - Cigli ferroviari

    Comune di Bologna

    Formats: geojson, kml, json, parquet, n3, rdf_xml · Metadata date: 2026-08-22

    Find this exact title on the source portal.

Sources and method

This article combines catalogue measurements with a reusable technical procedure. The calculations use the dated export above.

Dataset titles remain subject to the source terms. Read the portal source details.

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