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Molsheim (French pronunciation: ; also ⓘ) is a commune and a subprefecture in the Bas-Rhin department in Grand Est in north-eastern France. The total population in 2023 was 9,318. Molsheim had been a very fast-growing city between the French censuses of 1968 and 1999, passing from 5,739 to 9,335 inhabitants, but this increase came to a noticeable halt…
The analysis highlights History, Economy, Art and Regions as prominent areas in the source structure around Molsheim.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. 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.
The extracted context around Molsheim shows recurring relationship patterns in the source. For example, Molsheim → Alsace, Also, Altorf, Archduke, Austria, Benedictines, Brandenburg, Carthusians, Catholic, Catholics, Charles, France, French Revolution, Holy Roman Empire, In, Jean, Jesuits, Johann Georg, Laurent Gutjahr, Leopold Another extracted example is Molsheim → Adeloch, Avolsheim, Bishop Adeloch, Bishop Jean, By, Dürbheim, Excavations, German, Germanic, His, Holy Roman Emperor Frederick, However, II, In, Jean, Jesuit, Johann, Merovingian, Mollesheim, Roman. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
strasbourg french france town city also coat arms alsace population bas-rhin de bishop war église des jésuites grand est inhabitants
TTTA extracted 156 structured relationships around Molsheim. Examples in this analysis include Molsheim → Area1 → 10.85 km2 (4.19 sq mi) and Molsheim → Arrondissement → Molsheim. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Molsheim | Area1 | 10.85 km2 (4.19 sq mi) | 1.00 | infobox |
| Molsheim | Arrondissement | Molsheim | 1.00 | infobox |
| Molsheim | Canton | Molsheim | 1.00 | infobox |
| Molsheim | Country | France | 1.00 | infobox |
| Molsheim | Department | Bas-Rhin | 1.00 | infobox |
| Molsheim | Elevation | 165–371 m (541–1,217 ft) (avg. 180 m or 590 ft) | 1.00 | infobox |
| Molsheim | INSEE/Postal code | 67300 /67120 | 1.00 | infobox |
| Molsheim | Population (2023) | 9,318 | 1.00 | infobox |
| Molsheim | Region | Grand Est | 1.00 | infobox |
| Molsheim | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Molsheim | • Density | 858.8/km2 (2,224/sq mi) | 1.00 | infobox |
| Molsheim | • Mayor .mw-parser-output .nobold{font-weight:normal}(2020–2026) | Laurent Furst (LR) | 1.00 | infobox |
| Molsheim | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
| Molsheim | is a | centre of an urban unit with about 27 | 0.90 | text |
The concept neighborhoods around Molsheim bring nearby vocabulary together. In this analysis, examples include France, French and Strasbourg. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Molsheim, one of the stronger structural bridges in this analysis connects Molsheim with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Molsheim to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Economy, Art & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Molsheim · EN edition · Analysis: TopicsToTalkAbout