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Ratingen (German pronunciation: ⓘ; Limburgish: Rotinge) is a town in the district of Mettmann in North Rhine-Westphalia, Germany. It lies in the northwestern part of Berg about 12 km northeast of Düsseldorf.
The analysis highlights History, Politics, Economy and Art as prominent areas in the source structure around Ratingen.
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 Ratingen shows recurring relationship patterns in the source. For example, Ratingen → After, At, Berg, Europe, Field Marshal Walter Model, From, German, In, In Cromford, Industrial Age, Kingdom, Middle Ages, Napoleonic, On December, Prussia, Rheinisches Industriemuseum, Rhine Industry Museum, Second World War, Textilfabrik Cromford, Thirty Years' War Another extracted example is Ratingen → Beelitz, China, Finland, France, Gagarin, Germany, Huishan, Kokkola, Le Quesnoy, Maubeuge, Russia, United States, Vermillion, Wuxi. 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.
city germany berg mettmann part mw-parser-output district north rhine-westphalia town düsseldorf german council references middle 000 mayor font-size 100 war
TTTA extracted 82 structured relationships around Ratingen. Examples in this analysis include Ratingen → Admin. region → Düsseldorf and Ratingen → Country → Germany. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ratingen | Admin. region | Düsseldorf | 1.00 | infobox |
| Ratingen | Country | Germany | 1.00 | infobox |
| Ratingen | Dialling codes | 02102 | 1.00 | infobox |
| Ratingen | District | Mettmann | 1.00 | infobox |
| Ratingen | Elevation | 50 m (160 ft) | 1.00 | infobox |
| Ratingen | Postal codes | 40878–40885 (1962–1995: 4030) | 1.00 | infobox |
| Ratingen | State | North Rhine-Westphalia | 1.00 | infobox |
| Ratingen | Subdivisions | 6 boroughs with 10 districts | 1.00 | infobox |
| Ratingen | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Ratingen | Vehicle registration | ME, seit 1975 (1956–1974: D) | 1.00 | infobox |
| Ratingen | Website | www.ratingen.de | 1.00 | infobox |
| Ratingen | • Density | 1,007/km2 (2,608/sq mi) | 1.00 | infobox |
| Ratingen | • Mayor .mw-parser-output .nobold{font-weight:normal}(2025–30) | Patrick Anders (CDU) | 1.00 | infobox |
| Ratingen | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
| Ratingen | • Total | 88.74 km2 (34.26 sq mi) | 1.00 | infobox |
| Ratingen | • Total | 89,368 | 1.00 | infobox |
The concept neighborhoods around Ratingen bring nearby vocabulary together. In this analysis, examples include Council, Germany and Mayor. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ratingen, one of the stronger structural bridges in this analysis connects Ratingen 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 Ratingen to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Politics, Economy & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ratingen · EN edition · Analysis: TopicsToTalkAbout