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Pasuruan (Dutch: Pasoeroean) is a city in East Java Province of Java, Indonesia. It had a population of 186,262 at the 2010 Census and 208,006 at the 2020 Census; the official estimate as of mid 2025 was 213,838 (comprising 107,013 males and 106,825 females).
The analysis highlights Public transport, Sport and Government as prominent areas in the source structure around Pasuruan.
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 Pasuruan shows recurring relationship patterns in the source. For example, Pasuruan → AFA Syailendra, At, Because, Executive Board, In, Pasuruan United, Persema, Persema Malang, PSSI, PSSI Malang City Regional, They, Third Division, This Another extracted example is Pasuruan → Bangil, Banyuwangi, In, It, Kraton, Malang, Pasoeroean Stoomtram Maatschappij, Surabaya, Surabaya Kota, The, This, To, Trans Java Freeway. 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 surabaya java malang mayor persema 2025 united east located districts indonesia 2010 official side pssi climate new railway station
TTTA extracted 68 structured relationships around Pasuruan. Examples in this analysis include Pasuruan → Area code → (+62) 343 and Pasuruan → Country → Indonesia. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pasuruan | Area code | (+62) 343 | 1.00 | infobox |
| Pasuruan | Country | Indonesia | 1.00 | infobox |
| Pasuruan | Province | East Java | 1.00 | infobox |
| Pasuruan | Time zone | UTC+7 (IWST) | 1.00 | infobox |
| Pasuruan | Website | pasuruankota.go.id | 1.00 | infobox |
| Pasuruan | • Density | 5,483/km2 (14,200/sq mi) | 1.00 | infobox |
| Pasuruan | • Javanese | Kuthå Pasuruhan (Gêdrig) .mw-parser-output .script-arabic{font-family:"Scheherazade New",Lateef,LateefGR,"Noto Naskh Arabic","Noto Sans Arabic","Arabic Typesetting",Amiri,"Sakka… | 1.00 | infobox |
| Pasuruan | • Madurese | Kottha Pasuruwân (Latèn) كَوڟّا ڤاسورووۤان (Pèghu) ꦏꦺꦴꦛ꧀ꦛꦦꦱꦸꦫꦸꦮꦤ꧀ (Carakan) | 1.00 | infobox |
| Pasuruan | • Mayor | Adi Wibowo | 1.00 | infobox |
| Pasuruan | • Total | 39.00 km2 (15.06 sq mi) | 1.00 | infobox |
| Pasuruan | • Total | 213,838 | 1.00 | infobox |
| Pasuruan | • Vice Mayor | Mokhamad Nawawi [id] | 1.00 | infobox |
| Pasuruan | is a | highest-ranking official within the Pasuruan City government | 0.90 | text |
The concept neighborhoods around Pasuruan bring nearby vocabulary together. In this analysis, examples include United, Climate and Mayor. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pasuruan, one of the stronger structural bridges in this analysis connects Pasuruan with Public transport. 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 Pasuruan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Public transport, Sport & Government, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pasuruan · EN edition · Analysis: TopicsToTalkAbout