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Uster: History, Community & Standards

Uster (Swiss Standard German pronunciation: ; Zurich German: Uschter, pronounced ) is a town and the capital of the Uster District in the Swiss canton of Zürich.

Language: English [EN]
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Uster topic overview

The analysis highlights History, Community and Standards as prominent areas in the source structure around Uster.

Related topics
69
Source areas
9
Connected nodes
78
Extracted relationships
94
Related term clusters
26
Bridge connections
78

What this topic covers Research coverage

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.

History · 18 topics
Notable people · 13 topics
Demographics · 12 topics
Overview · 10 topics
Transportation · 7 topics
Education · 4 topics
Gallery · 3 topics
Wakker Prize · 1 topics
Weather · 1 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Canton
Zürich
Country
Switzerland
Demonym
Ustermer
District
Uster
Elevation
462 m (1,516 ft)
ISO 3166 code
CH-ZH

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Explore all related topics Closing gaps

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.

Overview

History

Demographics

Weather

Wakker Prize

Education

Notable people

Transportation

Gallery

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Uster connects Entity context

The extracted context around Uster shows recurring relationship patterns in the source. For example, Uster → Amt Greifensee, Andreas Church, Boesch, Bonstetten, Breitenlandenberg, Castle, Elisabeth, Even, Freiherr, Greifensee, Habsburg, Hermann II, House, January, Kirchrecht, Landenberg, Laubishof, May, Old High German, Old Swiss Confederacy Another extracted example is Uster → Berufsfachschule Uster, Höhere Fachschule Uster, Japanese, Kantonsschule Uster, Primarschule Uster, Sekundarschulverwaltung Uster, Switzerland's, The Bildungszentrum Uster, The Japanese School, Zurich. Use these groups to spot repeated connection types before inspecting the individual relationships.

Uster

Top relations

related to history · 31
Uster → Amt Greifensee, Andreas Church, Boesch, Bonstetten, Breitenlandenberg, Castle, Elisabeth, Even, Freiherr, Greifensee, Habsburg, Hermann II, House, January, Kirchrecht, Landenberg, Laubishof, May, Old High German, Old Swiss Confederacy
related to Education · 10
Uster → Berufsfachschule Uster, Höhere Fachschule Uster, Japanese, Kantonsschule Uster, Primarschule Uster, Sekundarschulverwaltung Uster, Switzerland's, The Bildungszentrum Uster, The Japanese School, Zurich
related to Gallery · 9
Uster → Forch, Greifensee, Niederuster, Panorama, Pfannenstiel, Riedikon, Uster CastleReformed Church, UsterFree ChurchSchloss UsterNossikon, Wil
related to Demographics · 8
Uster → Albanian, CSP, December, German, Green Party, Italian, SPS, SVP
related to Transportation · 8
Uster → Greifensee, Nänikon-Greifensee, S14, S15, S5, S9, Zürich Hauptbahnhof, Zürich S-Bahn
related to Wakker Prize · 5
Uster → Swiss Agglomeration, Swiss Heritage Society, The Society, Wakker Prize, Zürich
• Total · 2
Uster → 28.56 km2 (11.03 sq mi), 35,337
related to Weather · 2
Uster → June, October
Canton · 1
Uster → Zürich
Country · 1
Uster → Switzerland

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

zürich town greifensee population swiss church located canton city castle precipitation von area german one people wakker prize total 11

Uster relationships Subject–Predicate–Object triples

TTTA extracted 94 structured relationships around Uster. Examples in this analysis include Uster → Canton → Zürich and Uster → Country → Switzerland. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
UsterCantonZürich1.00infobox
UsterCountrySwitzerland1.00infobox
UsterDemonymUstermer1.00infobox
UsterDistrictUster1.00infobox
UsterElevation462 m (1,516 ft)1.00infobox
UsterISO 3166 codeCH-ZH1.00infobox
UsterLocalitiesKirchuster, Freudwil, Nänikon, Niederuster, Nossikon, Oberuster, Riedikon, Sulzbach, Wermatswil, Werrikon, Winikon-Gschwader1.00infobox
UsterPostal code86101.00infobox
UsterSFOS number1981.00infobox
UsterSurrounded byFehraltorf, Gossau, Greifensee, Maur, Mönchaltorf, Pfäffikon, Seegräben, Volketswil1.00infobox
UsterTime zoneUTC+01:00 (CET)1.00infobox
UsterTwin townsPrenzlau (Germany)1.00infobox
UsterWebsitewww.uster.ch1.00infobox
Uster• Density1,237/km2 (3,205/sq mi)1.00infobox
Uster• ExecutiveStadtrat with 7 members1.00infobox
Uster• MayorStadtpräsidentin (list) Barbara Thalmann Stammbach SPS/PSS (as of July 2018)1.00infobox
Uster• ParliamentGemeinderat with 36 members1.00infobox
Uster• Summer (DST)UTC+02:00 (CEST)1.00infobox
Uster• Total28.56 km2 (11.03 sq mi)1.00infobox
Uster• Total35,3371.00infobox
Usteris a14-minute ride0.90text

Related concept clusters Related term clusters

The concept neighborhoods around Uster bring nearby vocabulary together. In this analysis, examples include Zürich, Located and Castle. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • old zürich war
    • Canton
    • Swiss
    • Uster
    • Town
    • Font-size
    • Mw-parser-output
    • References
    • Municipality
    • Prize
    • Wakker
    • New
    • Made
  • canton of zürich
    • Font-size
    • Mw-parser-output
    • References
    • Canton
    • One
    • Switzerland
    • Zürich
    • New
    • Swiss
    • Uster
    • Town
    • Municipality
  • zürich transport network
    • Canton
    • Swiss
    • Uster
    • Town
    • Font-size
    • Mw-parser-output
    • References
    • Municipality
    • Prize
    • Wakker
    • New
    • Greifensee
  • uster castle
    • Greifensee
    • Von
    • Zürich
    • City
    • Located
    • Church
    • Riedikon
    • Castle
    • Uster
    • German
    • Prize
    • Wakker
  • zürich
    • Canton
    • Swiss
    • Uster
    • Town
    • Font-size
    • Mw-parser-output
    • References
    • Municipality
    • Prize
    • Wakker
    • New
    • Greifensee
  • reformation in zürich
    • Canton
    • Swiss
    • Uster
    • Town
    • Font-size
    • Mw-parser-output
    • References
    • Municipality
    • Prize
    • Wakker
    • New
    • Greifensee
  • zürich hauptbahnhof
    • Canton
    • Swiss
    • Uster
    • Town
    • Font-size
    • Mw-parser-output
    • References
    • Municipality
    • Prize
    • Wakker
    • New
    • Greifensee
  • Uster
    • Zürich
    • Located
    • Castle
    • Greifensee
    • Prize
    • Wakker
    • City
    • Riedikon
    • Municipality
    • Received
    • Average
    • Precipitation

Connections between topic areas Semantic bridges

For Uster, one of the stronger structural bridges in this analysis connects Uster 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.

Min side: 3
Uster — History · splits 60 ⟂ 19
Uster — Notable people · splits 65 ⟂ 14
Uster — Demographics · splits 66 ⟂ 13
Uster — Overview · splits 68 ⟂ 11
Uster — Transportation · splits 71 ⟂ 8
Uster — Education · splits 74 ⟂ 5
Uster — Gallery · splits 75 ⟂ 4

Map overview Semantic statistics

Uster

Nodes79
Edges78
Triples94
Avg. degree1.97
Density0.025316
Components1

Source & methodology

TTTA analyzes the structure around Uster to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Uster · EN edition · Analysis: TopicsToTalkAbout

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