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Écaillon (.mw-parser-output .IPA-label-small{font-size:85%}.mw-parser-output .references .IPA-label-small,.mw-parser-output .infobox .IPA-label-small,.mw-parser-output .navbox .IPA-label-small{font-size:100%}French pronunciation: ) is a commune in the Nord department in northern France.
Art & Overview
Explore the main themes, entities and connections around Écaillon. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
france nord department commune references hauts-de-france mw-parser-output font-size 100 french church coat arms km2 sq mi ft ipa-label-small 85 infobox
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Écaillon | Area1 | 4 km2 (1.5 sq mi) | 1.00 | infobox |
| Écaillon | Arrondissement | Douai | 1.00 | infobox |
| Écaillon | Canton | Aniche | 1.00 | infobox |
| Écaillon | Country | France | 1.00 | infobox |
| Écaillon | Department | Nord | 1.00 | infobox |
| Écaillon | Elevation | 19–35 m (62–115 ft) (avg. 25 m or 82 ft) | 1.00 | infobox |
| Écaillon | INSEE/Postal code | 59185 /59176 | 1.00 | infobox |
| Écaillon | Intercommunality | Cœur d'Ostrevent | 1.00 | infobox |
| Écaillon | Population (2023) | 1,869 | 1.00 | infobox |
| Écaillon | Region | Hauts-de-France | 1.00 | infobox |
| Écaillon | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Écaillon | • Density | 470/km2 (1,200/sq mi) | 1.00 | infobox |
| Écaillon | • Mayor .mw-parser-output .nobold{font-weight:normal}(2020–2026) | Georges Cino | 1.00 | infobox |
| Écaillon | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.