# Nepal

> country in South Asia

**Wikidata**: [Q837](https://www.wikidata.org/wiki/Q837)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Nepal)  
**Source**: https://4ort.xyz/entity/nepal

We need to produce a structured knowledge entry for Nepal using only the provided source material. Must include all facts, relationships, etc. Must be in exact markdown structure: Summary, Key Facts, FAQs, Why It Matters, Notable For, Body with H3 subheadings.

We must not fabricate, only use provided data. Must include all relationships, properties, etc. This is a huge amount of data. Need to be comprehensive but concise enough? The instruction: "Write proportionally to the source material provided. More context = longer, more detailed article. Use ALL provided facts and connections — do not summarize or skip data. Every relationship, every connected entity, every property should appear somewhere in the output."

Thus we need to include every fact from the source. That's massive. We need to embed them in the sections, especially Body, with subheadings grouping related items.

We must not add any external info. Must not fabricate.

We need to ensure we include all properties like P244, P443, etc. But we can embed them in the Body under appropriate headings (Identifiers, Demographics, Economy, etc.). Must include all qualifiers and references? Probably just include the values; references can be omitted? The instruction: "Use ALL provided facts and connections — do not summarize or skip data. Every relationship, every connected entity, every property should appear somewhere in the output." So we need to mention each property and its value, maybe qualifiers. But we can summarize? It says do not summarize or skip data. So we need to include each piece.

Given the huge volume, we need to be systematic: list all properties in a table or bullet list under a section like "Structured Properties". But we must follow the required structure: Summary, Key Facts, FAQs, Why It Matters, Notable For, Body with H3 subheadings. Within Body we can have subheadings like "Identifiers", "Geography", "Demographics", "Economy", "Government", "Culture", "International Relations", etc., and under each we list the properties.

We must ensure we don't miss any.

Let's extract all properties from the source.

I'll go through the source and list each property line.

Starting after "Structured Properties (from Wikidata + academic sources):"

- P244: value: n79091522, qualifiers: {'P1810': 'Nepal', 'P4070': 'Kingdom of Nepal'}

- P443: {'value': 'https://commons.wikimedia.org/wiki/Special:FilePath/Lb-Nepal.ogg', 'preferred': True, 'qualifiers': {'P407': 'Luxembourgish'}}, {'value': 'https://commons.wikimedia.org/wiki/Special:FilePath/LL-Q7913_(ron)-KlaudiuMihaila-Nepal.wav', 'qualifiers': {'P407': 'Romanian'}}

- P832: Republic Day

- area: value: {'unit': 'square kilometre', 'amount': '147181.254346'}, references: [{'P143': 'Q465'}]

- flag: flag of Nepal

- P1670: 0053C0600F

- P2131: {'value': {'unit': 'United States dollar', 'amount': '36924841430'}, 'qualifiers': {'point_in_time': '2021'}, 'references': [{'P813': '2023-08-26', 'P854': 'https://data.worldbank.org/indicator/NY.GDP.MKTP.CD', 'publisher': 'Q7164'}]}, {'value': {'unit': 'United States dollar', 'amount': '40828247302'}, 'qualifiers': {'point_in_time': '2022'}, 'references': [{'P813': '2023-08-26', 'P854': 'https://data.worldbank.org/indicator/NY.GDP.MKTP.CD', 'publisher': 'Q7164'}]}

- P2572: {'value': 'Nepal', 'qualifiers': {'P407': 'Q1860'}}, {'value': 'नेपाल', 'qualifiers': {'P407': 'Nepali'}}

- P3067: 524

- P3365: value: nepal, qualifiers: {'P1810': 'Nepal'}, references: [{'P143': 'Q11920', 'P4656': 'https://it.wikipedia.org/w/index.php?title=Nepal&oldid=123431988'}]

- P3612: pays/nepal

- P3984: value: Nepal, qualifiers: {'P407': 'Q1860', 'P1810': 'Nepal', 'start_time': '2009-01-28'}, references: [{'P813': '2018-05-06'}]

- P6344: {'value': '23021883', 'qualifiers': {'point_in_time': '2019'}, 'references': [{'P813': '2024-10-11', 'publisher': 'Q21540096'}]}, {'value': '23309854', 'qualifiers': {'point_in_time': '2020'}, 'references': [{'P813': '2024-10-11', 'publisher': 'Q21540096'}]}, {'value': '23725239', 'qualifiers': {'point_in_time': '2021'}, 'references': [{'P813': '2024-10-11', 'publisher': 'Q21540096'}]}, {'value': '23994819', 'qualifiers': {'point_in_time': '2022'}, 'references': [{'P813': '2024-10-11', 'publisher': 'Q21540096'}]}

- P6621: Népal

- P7157: 45

- P7305: 4169109

- P8328: {'value': '5.22', 'qualifiers': {'point_in_time': '2020'}, 'references': [{'P248': 'Q105264748', 'P813': '2021-11-14'}]}, {'value': '4.41', 'preferred': True, 'qualifiers': {'P1352': '101', 'P7452': 'most recent value', 'point_in_time': '2021'}, 'references': [{'P248': 'Q110879013'}]}

- P8477: {'value': '4.55', 'qualifiers': {'point_in_time': '2006'}, 'references': [{'P854': 'https://www.bti-project.org'}]}, {'value': '4.38', 'qualifiers': {'point_in_time': '2008'}, 'references': [{'P854': 'https://www.bti-project.org'}]}, {'value': '4.6', 'qualifiers': {'point_in_time': '2010'}, 'references': [{'P854': 'https://www.bti-project.org'}]}, {'value': '4.45', 'qualifiers': {'point_in_time': '2012'}, 'references': [{'P854': 'https://www.bti-project.org'}]}, {'value': '4.37', 'qualifiers': {'point_in_time': '2014'}, 'references': [{'P854': 'https://www.bti-project.org'}]}, {'value': '4.74', 'qualifiers': {'point_in_time': '2016'}, 'references': [{'P854': 'https://www.bti-project.org'}]}, {'value': '4.52', 'qualifiers': {'point_in_time': '2018'}, 'references': [{'P854': 'https://www.bti-project.org'}]}, {'value': '5.21', 'qualifiers': {'point_in_time': '2020'}, 'references': [{'P854': 'https://www.bti-project.org'}]}, {'value': '5.23', 'qualifiers': {'point_in_time': '2022'}, 'references': [{'P854': 'https://bti-project.org/en/reports/country-dashboard/NPL'}]}

- P9346: népal

- P9957: value: 11615, references: [{'P248': 'Q1360745'}]

- P9984: value: 981060918077906706, references: [{'P248': 'Q54919', 'P813': '2024-06-21', 'viaf_id': '155689607'}]

- image: https://commons.wikimedia.org/wiki/Special:FilePath/Satellite_image_of_Nepal_in_October_2002.jpg

- motto: Mother and Motherland are Greater than Heaven

- P11408: ネパール

- P12749: Idaho

- P13803: NPL

- anthem: value: Sayaun Thunga Phulka, qualifiers: {'P51': 'https://commons.wikimedia.org/wiki/Special:FilePath/Sayaun_Thunga_Phool_Ka_(instrumental).ogg'}, references: [{'P143': 'Q328'}]

- gnd_id: value: 4041612-4, references: [{'P248': 'Q265049', 'P813': '2024-01-27', 'P5573': '3019'}]

- hds_id: 003422

- lex_id: Nepal

- nsk_id: value: 981005758584109366, references: [{'P3452': 'Q138818708'}]

- ysa_id: Y107682

- yso_id: 107682

- aliases: Federal Democratic Republic of Nepal, Nipal, Nekbal, Nehpal, Palpou, Naipala, Naipála, Pa-lo-pou, Pa-le-pou, Pa-eul-pou, Paï-pou, Pai-pou, Balpo, Balbo, Bal-bo, Bal-po'i yul, Bal-yul, Naipál, Necbal, Nei-pal, Népaal, Nepall, Nepaul, Ne-pel, Nercerri, Niepal, Ni-po-lo, Ni-po-louo, Palpa, Balpo-yul, Nekpal, Nepál, Népál, República Federal Democrática de Nepal, Republica Federal Democratica de Nepal, République démocratique fédérale du Népal, np, la République démocratique fédérale du Népal, Nepal, Demokratische Bundesrepublik Nepal, ネパール連邦民主共和国, 尼婆羅, 尼泊尔, Níbó'ěr, Федеративная Демократическая Республика Непал, República Democrática Federal do Nepal, النيبال, جمهورية نيبال الديمقراطية الاتحادية

- capital: value: Kathmandu, references: [{'P143': 'Q328'}]

- country: Q837

- culture: culture of Nepal

- demonym: Nepalese, nepáli, Nepali, Nepalano, Nepalänan, {'value': 'نيبالي', 'qualifiers': {'applies_to_part': 'masculine'}}, {'value': 'نيباليون', 'qualifiers': {'applies_to_part': 'plural'}}, {'value': 'نيبالية', 'qualifiers': {'applies_to_part': 'feminine'}}, {'value': 'непалец', 'qualifiers': {'applies_to_part': 'masculine'}}, {'value': 'непалка', 'qualifiers': {'applies_to_part': 'feminine'}}, {'value': 'непальцы', 'qualifiers': {'applies_to_part': 'plural'}},

## References

1. [Source](http://www.auswaertiges-amt.de/DE/Aussenpolitik/Laender/Laenderinfos/01-Nodes_Uebersichtsseiten/Nepal_node.html)
2. [Source](https://thehimalayantimes.com/nepal/oli-to-be-sworn-in-today/)
3. [Source](https://www.workwithdata.com/place/nepal)
4. [Source](https://www.presidentofnepal.gov.np/)
5. Constitution of Nepal 2015
6. [Source](https://nepal.unfpa.org/sites/default/files/pub-pdf/Population%20Monograph%20V02.pdf)
7. The World Factbook
8. archINFORM
9. Virtual International Authority File
10. CiNii Research
11. [Source](https://data.iana.org/time-zones/tzdb-2021e/asia)
12. [Interpol](https://www.interpol.int/Member-countries/World)
13. [Source](https://www.interpol.int/Who-we-are/Member-countries/Asia-South-Pacific/NEPAL)
14. [Organisation for the Prohibition of Chemical Weapons](https://www.opcw.org/about-opcw/member-states/)
15. [Source](https://www.opcw.org/about-us/member-states/nepal)
16. [Source](http://www.unesco.org/eri/cp/ListeMS_Indicators.asp)
17. [Source](http://www.upu.int/en/the-upu/member-countries.html)
18. [Source](https://www.upu.int/en/Universal-Postal-Union/About-UPU/Member-Countries?csid=-1&cid=211)
19. [Source](https://www.itu.int/online/mm/scripts/gensel8)
20. [Source](https://public.wmo.int/en/members/nepal)
21. [Source](https://www.who.int/choice/demography/by_country/en/)
22. [Source](https://www.wcoomd.org/-/media/wco/public/global/pdf/about-us/wco-members/list-of-members-with-membership-date.pdf)
23. [Source](https://www.necan.gov.np/narelations.htm)
24. [Source](https://www.ncnk.org/sites/default/files/content/resources/publications/NCNK_Issue_Brief_DPRK_Diplomatic_Relations.pdf)
25. Freebase Data Dumps. 2013
26. [Source](https://unstats.un.org/unsd/methodology/m49/)
27. FIPS 10-4
28. MusicBrainz
29. [Human Development Report. 2022](https://hdr.undp.org/data-center/human-development-index#/indicies/HDI)
30. Population Monograph of Nepal 2014
31. Table 01: Number of households by type of ownership of housing unit, NPHC 2021
32. [Country Comparison :: Population. The World Factbook](https://www.cia.gov/library/publications/the-world-factbook/fields/335rank.html)
33. [Source](http://cbs.gov.np/?p=513)
34. Population Monograph of Nepal 1981
35. The analysis of the population statistics of Nepal
36. World Bank Open Data
37. [Source](https://data.worldbank.org/indicator/SI.POV.GINI)
38. [Source](http://data.worldbank.org/indicator/SL.UEM.TOTL.ZS)
39. [Source](http://cnig.gouv.fr/wp-content/uploads/2020/02/CNT-PVM_r%C3%A9vis%C3%A9_2020-01-27-1.pdf)
40. [Source](https://unterm.un.org/unterm/display/record/unhq/na/3922e336-a0f8-4780-b597-d9485555160e)
41. [Source](https://www.onlinekhabar.com/2020/11/906918)
42. The National Terminology Database for Irish
43. [Source](https://freedomhouse.org/report/freedom-world/freedom-world-2017)
44. [World Bank](https://data.worldbank.org/indicator/NY.GDP.MKTP.CD)
45. [UNESCO Institute for Statistics](http://data.uis.unesco.org/Index.aspx?DataSetCode=DEMO_DS)
46. [UNESCO Institute for Statistics](http://data.uis.unesco.org/index.aspx?queryid=3372)
47. BabelNet
48. [International Numbering Resources Database](http://www.itu.int/net/itu-t/inrdb/e129_important_numbers.aspx)
49. [World Plugs](http://www.iec.ch/worldplugs/list_bylocation.htm)
50. UMLS 2023