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Vĩnh Tường district: Geography & Regions

Vĩnh Tường is a former rural district of Vĩnh Phúc province in the Red River Delta region of northern Vietnam. As of 2003, the district had a population of 189,970.

Language: English [EN]
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Vĩnh Tường district topic overview

The analysis highlights Geography and Regions as prominent areas in the source structure around Vĩnh Tường district.

Related topics
7
Source areas
3
Connected nodes
10
Extracted relationships
9
Related term clusters
10
Bridge connections
10

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.

Overview · 4 topics
Geography · 2 topics
Notable residents · 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.

Country
Vietnam
Main town
Vĩnh Tường town
Province
Vĩnh Phúc
Region
Red River Delta
Time zone
UTC+7 (UTC + 7)
• President of the People's Committee
Bùi Minh Hồng

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Vĩnh Tường district
4Districts of Vietnam · Vĩnh Phúc province · Red River Delta
3Vĩnh Tường · Sơn Tây (Hanoi) · Hồ Xuân Hương

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

Geography

Notable residents

For the semantics nerds

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

Advanced semantic analysis

How Vĩnh Tường district connects Entity context

The extracted context around Vĩnh Tường district shows recurring relationship patterns in the source. For example, Vĩnh Tường district → 189,970, 55 sq mi (142 km2) Another extracted example is Vĩnh Tường district → Vietnam. Use these groups to spot repeated connection types before inspecting the individual relationships.

Vĩnh Tường district

Top relations

• Total · 2
Vĩnh Tường district → 189,970, 55 sq mi (142 km2)
Country · 1
Vĩnh Tường district → Vietnam
Main town · 1
Vĩnh Tường district → Vĩnh Tường town
Province · 1
Vĩnh Tường district → Vĩnh Phúc
Region · 1
Vĩnh Tường district → Red River Delta
Time zone · 1
Vĩnh Tường district → UTC+7 (UTC + 7)
• President of the People's Committee · 1
Vĩnh Tường district → Bùi Minh Hồng
• Type · 1
Vĩnh Tường district → People's Committee

Important terminology

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

Important terminology

district vĩnh phúc tường vietnam rice main province red river communes delta region towns residents center vinh tuong town 142

Vĩnh Tường district relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around Vĩnh Tường district. Examples in this analysis include Vĩnh Tường district → Country → Vietnam and Vĩnh Tường district → Main town → Vĩnh Tường town. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Vĩnh Tường districtCountryVietnam1.00infobox
Vĩnh Tường districtMain townVĩnh Tường town1.00infobox
Vĩnh Tường districtProvinceVĩnh Phúc1.00infobox
Vĩnh Tường districtRegionRed River Delta1.00infobox
Vĩnh Tường districtTime zoneUTC+7 (UTC + 7)1.00infobox
Vĩnh Tường district• President of the People's CommitteeBùi Minh Hồng1.00infobox
Vĩnh Tường district• Total55 sq mi (142 km2)1.00infobox
Vĩnh Tường district• Total189,9701.00infobox
Vĩnh Tường district• TypePeople's Committee1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Vĩnh Tường district bring nearby vocabulary together. In this analysis, examples include Vĩnh, Vietnam and Phúc. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Vĩnh Tường district
    • Vĩnh
    • Vietnam
    • Phúc
    • Center
    • Delta
    • Region
    • Town
    • Towns
    • Tuong
    • Vinh
    • District
    • Tường
  • vĩnh tường district
    • Vĩnh
    • Vietnam
    • Phúc
    • Province
    • Red
    • River
    • Center
    • Delta
    • Region
    • Town
    • Towns
    • Tuong
  • vĩnh phúc province
    • Red
    • River
    • Vĩnh
    • Delta
    • Region
    • Tường
    • Province
    • Vietnam
    • Center
    • Km2
    • Lập
    • Northern
  • red river delta
    • Region
    • River
    • Delta
    • Province
    • Red
    • Vietnam
    • Former
    • Km2
    • Northern
    • Rural
    • Vĩnh
    • Tường
  • vĩnh tường
    • Vĩnh
    • Vietnam
    • Phúc
    • Center
    • Delta
    • Region
    • Town
    • Towns
    • Tuong
    • Vinh
    • District
    • Communes
  • sơn tây (hanoi)
    • Việt
    • Yên
    • Includes
    • Lý
    • Nhân
    • Tang
    • Thổ
    • Town
    • Towns
    • Trade
    • Xuân
    • Vĩnh
  • notable residents
    • Km2
    • Center
    • Town
    • Towns
    • Tuong
    • Vinh
    • Xuân
    • River
    • Vietnam
    • Main
    • Rice
    • Tường
  • districts of vietnam
    • Tuong
    • Vinh
    • Vĩnh
    • Km2
    • Center
    • Many
    • Residents
    • Town
    • Towns
    • Communes
    • Main
    • Rice

Connections between topic areas Semantic bridges

For Vĩnh Tường district, one of the stronger structural bridges in this analysis connects Vĩnh Tường district 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.

Min side: 3
Vĩnh Tường district — Overview · splits 6 ⟂ 5
Vĩnh Tường district — Geography · splits 8 ⟂ 3

Map overview Semantic statistics

Vĩnh Tường district

Nodes11
Edges10
Triples9
Avg. degree1.82
Density0.181818
Components1

Source & methodology

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

Source: Wikipedia — Vĩnh Tường district · EN edition · Analysis: TopicsToTalkAbout

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