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Sysmä (Finnish pronunciation: ) is a municipality of Finland. It is situated in the Päijät-Häme region. The municipality has a population of 3,367 (31 December 2025) and covers an area of 936.18 square kilometres (361.46 sq mi) of which 269.14 km2 (103.92 sq mi) is water. The population density is 5.05 inhabitants per square kilometre (13.1/sq mi).…
The analysis highlights History and Regions as prominent areas in the source structure around Sysmä.
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 Sysmä shows recurring relationship patterns in the source. For example, Sysmä → Central Finland, Jämsä, Pihtipudas, Päijänne, Rapala, Rapola, Rautalampi, Savonians, Sääksmäki, The, Toivakka, Voipaala, Voipala Another extracted example is Sysmä → Kammiovuori, Many, One, Onkiniemen, Sysmän, Sysmän LintaAnother. 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.
municipality population finnish sq mi finland also hartola mw-parser-output heinola parish area square rapala päijät-häme references kuhmoinen luhanka padasjoki sysmän
TTTA extracted 49 structured relationships around Sysmä. Examples in this analysis include Sysmä → Country → Finland and Sysmä → Founded → 1442. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sysmä | Country | Finland | 1.00 | infobox |
| Sysmä | Founded | 1442 | 1.00 | infobox |
| Sysmä | Region | Päijät-Häme | 1.00 | infobox |
| Sysmä | Sub-region | Heinola | 1.00 | infobox |
| Sysmä | Time zone | UTC+02:00 (EET) | 1.00 | infobox |
| Sysmä | Website | sysma.fi | 1.00 | infobox |
| Sysmä | • 0 to 14 | 8.3% | 1.00 | infobox |
| Sysmä | • 15 to 64 | 48.4% | 1.00 | infobox |
| Sysmä | • 65 or older | 43.2% | 1.00 | infobox |
| Sysmä | • Density | 5.05/km2 (13.1/sq mi) | 1.00 | infobox |
| Sysmä | • Finnish | 95.8% (official) | 1.00 | infobox |
| Sysmä | • Land | 666.76 km2 (257.44 sq mi) | 1.00 | infobox |
| Sysmä | • Municipal manager | Marketta Kitkiöjoki | 1.00 | infobox |
| Sysmä | • Others | 3.9% | 1.00 | infobox |
| Sysmä | • Rank | 128th largest in Finland | 1.00 | infobox |
| Sysmä | • Rank | 204th largest in Finland | 1.00 | infobox |
| Sysmä | • Summer (DST) | UTC+03:00 (EEST) | 1.00 | infobox |
| Sysmä | • Swedish | 0.3% | 1.00 | infobox |
| Sysmä | • Total | 936.18 km2 (361.46 sq mi) | 1.00 | infobox |
| Sysmä | • Total | 3,367 | 1.00 | infobox |
| Sysmä | • Water | 269.14 km2 (103.92 sq mi) | 1.00 | infobox |
The concept neighborhoods around Sysmä bring nearby vocabulary together. In this analysis, examples include Dark, Lake and Word. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Sysmä, one of the stronger structural bridges in this analysis connects Sysmä 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 Sysmä to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Sysmä · EN edition · Analysis: TopicsToTalkAbout