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Nepal, officially the Federal Democratic Republic of Nepal, is a landlocked country in South Asia. It is mainly situated in the Himalayas, but also includes parts of the Indo-Gangetic Plain. It borders the Tibet Autonomous Region of China to the north, and India to the south, east, and west, while it is narrowly separated from Bangladesh by the Siliguri…
The analysis highlights History, Geography, Community and Culture as prominent areas in the source structure around Nepal.
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 Nepal shows recurring relationship patterns in the source. For example, Nepal → Abuse, At, Authority, Biological, Chemical, Civil Code, Civil Procedure Code, Conventions, Conventions/Treaties, Criminal Code, Criminal Procedure Code, Geneva Convention, Global Peace Index, GPI, Home Affairs, In, Inspector General, International Labour Organization Fundamental, Investigation, It Another extracted example is Nepal → ACD, Afghanistan, August, BIMSTEC, British, China, China's Belt, Citizens, EU, Five Principles, Friendship, Gurkha, India, India-Pakistan, Indian, Indians, Iraq, It, Nepal's, Nepali. 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.
nepali kathmandu india nepal's one also national country among terai well south valley years century around people indian 000 many
TTTA extracted 690 structured relationships around Nepal. Examples in this analysis include Nepal → Calling code → +977 and Nepal → Capitaland largest city → Kathmandu .mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punc…. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Nepal | Calling code | +977 | 1.00 | infobox |
| Nepal | Capitaland largest city | Kathmandu .mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punc… | 1.00 | infobox |
| Nepal | Currency | Nepalese rupee (Rs, रू) (NPR) | 1.00 | infobox |
| Nepal | Date format | YYYY/MM/DD | 1.00 | infobox |
| Nepal | Demonyms | Nepali | 1.00 | infobox |
| Nepal | Demonyms | Nepalese | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 35% Janajati 6.9% Magar 6.2% Tharu 5.6% Tamang 4.6% Newar 2.2% Rai 1.8% Gurung 1.5% Limbu 6.2% other | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 6.9% Magar | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 6.2% Tharu | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 5.6% Tamang | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 4.6% Newar | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 2.2% Rai | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 1.8% Gurung | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 1.5% Limbu | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 6.2% other | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 30% Khas Arya 16.4% Chhetri 11.2% Bahun 1.7% Thakuri 0.7% other | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 16.4% Chhetri | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 11.2% Bahun | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 1.7% Thakuri | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 0.7% other | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 16% Madheshi 4.2% Yadav 1.4% Teli 1.3% Chamar 1.2% Kushwaha 8.5% other | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 4.2% Yadav | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 1.4% Teli | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 1.3% Chamar | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 1.2% Kushwaha | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 8.5% other | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 14% Dalit 5% Kami 1.9% Damai 1.5% Sarki 5.6% other | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 5% Kami | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 1.9% Damai | 1.00 | infobox |
| Nepal | Ethnic groups (2021) | 1.5% Sarki | 1.00 | infobox |
The concept neighborhoods around Nepal bring nearby vocabulary together. In this analysis, examples include India, National and One. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Nepal, one of the stronger structural bridges in this analysis connects Nepal with Culture. 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 Nepal to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Community & Culture, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Nepal · EN edition · Analysis: TopicsToTalkAbout