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Ivanić Grad nebo též Ivanić-Grad (před rokem 1869 Ivanić-Tvrđava) je město v Chorvatsku. Nachází se v Záhřebské župě, u břehu řeky Lonji, asi 40 km jihovýchodně od centra Záhřebu. V roce 2011 žilo ve městě 9 379 obyvatel, v celé připadající opčině s okolními sídly pak 14 548 obyvatel. Počet obyvatel města rychle stoupá.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Ivanić Grad.
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 Ivanić Grad shows recurring relationship patterns in the source. For example, Ivanić Grad → Archivováno, CroMaps, Obrázky, Wayback Machine, Wikimedia CommonsMapy Ivanić Grad Another extracted example is Ivanić Grad → Chorvati (96,82 %), Albánci (0,89 %), Srbové (0,78 %), Bosňáci (0,24 %), Romové (0,13 %), Makedonci (0,12 %), Češi (0,12 %). 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.
ivanić grad obyvatel gradu 2011 46 commons město roce 379 pak breška breški prochází chorvatsko 14 548 počet centrum 45
TTTA extracted 20 structured relationships around Ivanić Grad. Examples in this analysis include Ivanić Grad → Etnické složení → Chorvati (96,82 %), Albánci (0,89 %), Srbové (0,78 %), Bosňáci (0,24 %), Romové (0,13 %), Makedonci (0,12 %), Češi (0,12 %) and Ivanić Grad → Hustota zalidnění → 83,8 obyv./km². The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ivanić Grad | Etnické složení | Chorvati (96,82 %), Albánci (0,89 %), Srbové (0,78 %), Bosňáci (0,24 %), Romové (0,13 %), Makedonci (0,12 %), Češi (0,12 %) | 1.00 | infobox |
| Ivanić Grad | Hustota zalidnění | 83,8 obyv./km² | 1.00 | infobox |
| Ivanić Grad | Nadmořská výška | 102 m n. m. | 1.00 | infobox |
| Ivanić Grad | Náboženské složení | křesťané (92,31 %), muslimové (0,64 %) | 1.00 | infobox |
| Ivanić Grad | Oficiální web | www.ivanic-grad.hr | 1.00 | infobox |
| Ivanić Grad | Označení vozidel | ZG | 1.00 | infobox |
| Ivanić Grad | Počet obyvatel | 14 548 (2011) | 1.00 | infobox |
| Ivanić Grad | PSČ | 10 310 | 1.00 | infobox |
| Ivanić Grad | Region | Moslavina | 1.00 | infobox |
| Ivanić Grad | Rozloha | 173,6 km² | 1.00 | infobox |
| Ivanić Grad | Souřadnice | 45°42′26″ s. š., 16°23′46″ v. d. | 1.00 | infobox |
| Ivanić Grad | Starosta | Javor Bojan Leš | 1.00 | infobox |
| Ivanić Grad | Stát | Chorvatsko Chorvatsko | 1.00 | infobox |
| Ivanić Grad | Telefonní předvolba | +385 01 | 1.00 | infobox |
| Ivanić Grad | Župa | Záhřebská | 1.00 | infobox |
The concept neighborhoods around Ivanić Grad bring nearby vocabulary together. In this analysis, examples include Gradu, Ivanić and Breška. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ivanić Grad, one of the stronger structural bridges in this analysis connects Ivanić Grad with Overview. 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 Ivanić Grad to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ivanić Grad · CS edition · Analysis: TopicsToTalkAbout