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Épernay je město ležící v departementu Marne v severní Francii. V roce 2006 zde žilo 24 456 obyvatel.
Osobnosti města, Geografie & Partnerská města
Explore the main themes, entities and connections around Épernay. 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.
marne obyvatel commons francie 2006 24 456 departementu pohled znak 49 25 57 36 datové položky města počet oficiální wikimedia
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Épernay | Arrondissement | Épernay | 1.00 | infobox |
| Épernay | Departement | Marne | 1.00 | infobox |
| Épernay | [email protected] | 1.00 | infobox | |
| Épernay | Hustota zalidnění | 1 077,8 obyv./km² | 1.00 | infobox |
| Épernay | Kanton | Épernay-1 Épernay-2 | 1.00 | infobox |
| Épernay | Nadmořská výška | 68–251 m n. m. | 1.00 | infobox |
| Épernay | Oficiální web | www.epernay.fr | 1.00 | infobox |
| Épernay | Počet obyvatel | 24 456 (2006) | 1.00 | infobox |
| Épernay | PSČ | 51200 | 1.00 | infobox |
| Épernay | Region | Grand Est | 1.00 | infobox |
| Épernay | Rozloha | 22,69 km² | 1.00 | infobox |
| Épernay | Souřadnice | 49°2′25″ s. š., 3°57′36″ v. d. | 1.00 | infobox |
| Épernay | Starosta | Franck Leroy | 1.00 | infobox |
| Épernay | Stát | Francie Francie | 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.