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Ning-te (čínsky pchin-jinem Níngdé, znaky 寕德) je městská prefektura v Čínské lidové republice. Leží v provincii Fu-ťien, má rozlohu 13 103 čtverečních kilometrů a v roce 2020 zde žily více než tři milióny lidí.
Partnerská města, Poloha & Administrativní členění
Explore the main themes, entities and connections around Ning-te. 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.
fu-ťien commons čína 13 2020 městská prefektura 26 40 119 31 datové položky německo wikimedia čínsky pchin-jinem znaky prosinec 2012
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ning-te | Hustota zalidnění | 234,3 obyv./km² | 1.00 | infobox |
| Ning-te | Oficiální web | www.nds.gov.cn | 1.00 | infobox |
| Ning-te | Označení vozidel | 闽J | 1.00 | infobox |
| Ning-te | Počet obyvatel | 3 146 789 (2020) | 1.00 | infobox |
| Ning-te | provincie | Fu-ťien | 1.00 | infobox |
| Ning-te | PSČ | 352000, 355000 | 1.00 | infobox |
| Ning-te | Rozloha | 13 431,98 km² | 1.00 | infobox |
| Ning-te | Souřadnice | 26°40′ s. š., 119°31′ v. d. | 1.00 | infobox |
| Ning-te | Starosta | Čen Ťia-dong | 1.00 | infobox |
| Ning-te | Stát | Čína Čína | 1.00 | infobox |
| Ning-te | Telefonní předvolba | 593 | 1.00 | infobox |
| Ning-te | Časové pásmo | UTC+8 | 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.