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Rohingya people: History, Community, Culture & Regions
The Rohingya people (/roʊˈhɪndʒə, -ɪŋjə/; Rohingya: 𐴌𐴗𐴥𐴝𐴙𐴚𐴒𐴙𐴝, romanized: ruáingga; IPA: ) are a stateless Indo-Aryan ethnolinguistic group who predominantly follow Islam from Rakhine State, Myanmar. Before the Rohingya genocide in 2017, when over 740,000 fled to Bangladesh, an estimated 1.4 million Rohingya lived in Myanmar. One of the most persecuted…
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Rohingya people topic overview
The analysis highlights History, Community, Culture and Regions as prominent areas in the source structure around Rohingya people.
Related topics
296
Source areas
10
Connected nodes
307
Extracted relationships
185
Concept neighborhoods
83
Bridge connections
307
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 · 140 topics
History · 96 topics
Human rights and refugee status · 17 topics
Nomenclature · 14 topics
Language · 8 topics
General and cited sources · 6 topics
Demographics · 5 topics
Religion · 5 topics
Health · 3 topics
Culture · 2 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.
Bangladesh
1,500,000+ (March 2025)
India
40,000 (May 2025, disputed)
Malaysia
193,824 (February 2026)
Myanmar (Rakhine State)
300,000 (May 2025)
Pakistan
500,000 (September 2017)
Saudi Arabia
350,000 (2019)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Rohingya people connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Rohingya people shows recurring relationship patterns in the source. For example, Rohingya people → Amnesty International, Andrea, Ansel, April, Arakan, Archived, Asian History, August, Autumn, Aye Chan, Aye ChanCharney, Berlin, Between, Burma, Burma Empire, Burma Research, Burma's Western Border, Co, Comparative Vocabulary, David Another extracted example is Rohingya people → Burma, Burmese, Citizens, For, Foreign Affairs, Historically, In, In February, Limitations, Myanmar, Myanmar's Ministry, Médecins Sans Frontières, Post, Rohingya, Rohingyas, The, The Rohingya, They. Use these groups to spot repeated connection types before inspecting the individual relationships.
Rohingya people
Top relations
related to General and cited sources· 120
Rohingya people → Amnesty International, Andrea, Ansel, April, Arakan, Archived, Asian History, August, Autumn, Aye Chan, Aye ChanCharney, Berlin, Between, Burma, Burma Empire, Burma Research, Burma's Western Border, Co, Comparative Vocabulary, David
related to Human rights and refugee status· 18
Rohingya people → Burma, Burmese, Citizens, For, Foreign Affairs, Historically, In, In February, Limitations, Myanmar, Myanmar's Ministry, Médecins Sans Frontières, Post, Rohingya, Rohingyas, The, The Rohingya, They
related to Since the 2021 coup d'état· 16
Rohingya people → Arakan Army, Burmese, Following, Government, However, In, January, Myanmar, National Unity Government, Rohingya, Sittwe University, State Administration Council, Tatmadaw, The, These, Travel
Rohingya people relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 185 structured relationships around Rohingya people. Examples in this analysis include Rohingya people → Bangladesh → 1,500,000+ (March 2025) and Rohingya people → India → 40,000 (May 2025, disputed). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Rohingya people
Bangladesh
1,500,000+ (March 2025)
1.00
infobox
Rohingya people
India
40,000 (May 2025, disputed)
1.00
infobox
Rohingya people
Malaysia
193,824 (February 2026)
1.00
infobox
Rohingya people
Myanmar (Rakhine State)
300,000 (May 2025)
1.00
infobox
Rohingya people
Pakistan
500,000 (September 2017)
1.00
infobox
Rohingya people
Saudi Arabia
350,000 (2019)
1.00
infobox
computer colleges
instance of
or attend institutions
0.80
text
how isolated
instance of
The dislocation of the Rohingya Muslims from their homes to other areas can be attributed to factors
0.80
text
undeveloped Rakhine is
instance of
The dislocation of the Rohingya Muslims from their homes to other areas can be attributed to factors
0.80
text
the conflict between the Rohingya Muslims
instance of
The dislocation of the Rohingya Muslims from their homes to other areas can be attributed to factors
0.80
text
the Buddhists
instance of
The dislocation of the Rohingya Muslims from their homes to other areas can be attributed to factors
0.80
text
and the discrimination which they have been subjected to by the government
instance of
The dislocation of the Rohingya Muslims from their homes to other areas can be attributed to factors
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Rohingya people bring nearby vocabulary together. In this analysis, examples include Myanmar, State and Bangladesh. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Rohingya people
Myanmar
State
Bangladesh
Military
Government
Refugees
Rights
Arakan
Term
Rakhine
Population
Muslims
rohingya people
Myanmar
State
Bangladesh
Military
Government
Refugees
Rights
Arakan
Term
Rakhine
Population
Muslims
rohingya
Myanmar
State
Bangladesh
Military
Government
Refugees
Rights
Arakan
Term
Population
Muslims
Burmese
ethnolinguistic group
International
Military
State
Ethnic
Government
Rights
Army
Rohingya
Rakhine
Citizenship
Myanmar
According
rakhine state
State
Northern
Ethnic
Myanmar
Rohingya
Muslims
Military
Region
Population
Muslim
Government
Bangladesh
myanmar
Rohingya
Bangladesh
Military
Government
Rakhine
State
Refugees
Rohingyas
People
Rights
International
Genocide
citizenship
Rights
Burmese
Since
Term
Human
Community
Bengali
Group
One
Rohingya
Refugees
State
citizenship law
Rights
Burmese
Since
Term
Human
Community
Bengali
Group
One
Rohingya
Refugees
State
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Rohingya people, one of the stronger structural bridges in this analysis connects Rohingya people 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
Rohingya people — Overview· splits 167 ⟂ 141Rohingya people — History· splits 210 ⟂ 98Rohingya people — Human rights and refugee status· splits 290 ⟂ 18Rohingya people — Nomenclature· splits 293 ⟂ 15Rohingya people — Language· splits 299 ⟂ 9Rohingya people — General and cited sources· splits 301 ⟂ 7Rohingya people — Demographics· splits 302 ⟂ 6Rohingya people — Religion· splits 302 ⟂ 6Rohingya people — Health· splits 304 ⟂ 4Rohingya people — Culture· splits 305 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Rohingya people
Nodes308
Edges307
Triples185
Avg. degree1.99
Density0.006494
Components1
Source & methodology
TTTA analyzes the structure around Rohingya people to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community, Culture & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
