Uttar Pradesh
First-level unit, India: people, area, the units inside and neighbours, with risk values when released.
Inside Uttar Pradesh
The 75 ADM2 units of Uttar Pradesh.
Penduduk, luas, dan kepadatan
Observasi sumber dari grid terbuka yang dijumlahkan di dalam batas; bukan nilai indeks.
243,157,604
16.7% of India.
249,526,613
+3% dibandingkan GHSL; metode kedua grid berbeda.
241,477 km²
1,007 people per km².
IN-UP
Kode subdivisi sebagaimana tercantum dalam sumber batas.
Uttar Pradesh in humanitarian data
Observasi sumber dari Humanitarian Data Exchange, dicocokkan dengan unit ini berdasarkan nama, masing-masing dengan tanggal referensi, penyedia, dan lisensinya. Ini bukan nilai indeks.
22.9%
penduduk dalam kemiskinan multidimensi. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
75 units inside Uttar Pradesh
Setiap unit memiliki halamannya sendiri.
Boundary licences: Creative Commons Attribution 2.5 India (CC BY 2.5 IN) · Open Data Commons Open Database License 1.0.
| Unit | Kode | Penduduk (GHSL) | Penduduk (WorldPop) | Luas km² | Per km² | Proporsi | Pesisir ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Agra | – | 5,641,749 | 5,971,154 | 4,038.89 | 1,397 | 2.3% | 0 |
| Aligarh | – | 4,281,397 | 3,844,462 | 3,519.84 | 1,216 | 1.8% | 0 |
| Allahabad | – | 7,460,863 | 8,974,410 | 5,474.79 | 1,363 | 3.1% | 0 |
| Ambedkar Nagar | – | 2,948,993 | 3,219,406 | 2,340.16 | 1,260 | 1.2% | 0 |
| Amethi | – | 2,592,624 | 3,119,744 | 2,625.77 | 987 | 1.1% | 0 |
| Auraiya | – | 1,627,476 | 1,861,499 | 2,009.79 | 810 | 0.7% | 0 |
| Azamgarh | – | 5,646,220 | 7,092,637 | 4,379.45 | 1,289 | 2.3% | 0 |
| Baghpat | – | 1,463,533 | 1,272,705 | 1,348.19 | 1,086 | 0.6% | 0 |
| Bahraich | – | 4,116,963 | 3,831,607 | 4,889.78 | 842 | 1.7% | 0 |
| Ballia | – | 3,785,776 | 3,723,063 | 3,014.89 | 1,256 | 1.6% | 0 |
| Balrampur | – | 2,541,761 | 2,417,464 | 3,241.17 | 784 | 1% | 0 |
| Banda | – | 2,229,762 | 2,735,790 | 4,562.12 | 489 | 0.9% | 0 |
| Bara Banki | – | 3,818,819 | 4,141,477 | 3,862.99 | 989 | 1.6% | 0 |
| Bareilly | – | 5,036,359 | 3,511,056 | 3,824.91 | 1,317 | 2.1% | 0 |
| Basti | – | 2,897,930 | 3,450,218 | 2,744.29 | 1,056 | 1.2% | 0 |
| Bijnor | – | 4,363,693 | 3,153,150 | 4,386.26 | 995 | 1.8% | 0 |
| Budaun | – | 3,739,046 | 2,152,304 | 4,242.03 | 881 | 1.5% | 0 |
| Bulandshahr | – | 4,484,881 | 3,540,385 | 3,797.5 | 1,181 | 1.8% | 0 |
| Chandauli | – | 2,113,003 | 2,762,082 | 2,537.72 | 833 | 0.9% | 0 |
| Chitrakoot | – | 1,222,806 | 1,872,993 | 3,115.41 | 393 | 0.5% | 0 |
| Deoria | – | 3,587,847 | 3,810,516 | 2,560.26 | 1,401 | 1.5% | 0 |
| Etah | – | 2,120,582 | 2,061,324 | 2,466.27 | 860 | 0.9% | 0 |
| Etawah | – | 1,993,629 | 2,555,971 | 2,393.28 | 833 | 0.8% | 0 |
| Faizabad | – | 3,281,811 | 3,296,816 | 2,675.15 | 1,227 | 1.3% | 0 |
| Farrukhabad | – | 2,244,915 | 1,901,487 | 2,185.27 | 1,027 | 0.9% | 0 |
| Fatehpur | – | 3,093,099 | 2,673,370 | 4,182.93 | 739 | 1.3% | 0 |
| Firozabad | – | 2,817,886 | 2,920,857 | 2,403.33 | 1,172 | 1.2% | 0 |
| Gautam Buddha Nagar | – | 2,772,343 | 5,269,859 | 1,189.56 | 2,331 | 1.1% | 0 |
| Ghaziabad | – | 4,640,407 | 4,228,182 | 960.67 | 4,830 | 1.9% | 0 |
| Ghazipur | – | 4,117,374 | 5,113,850 | 3,388.38 | 1,215 | 1.7% | 0 |
| Gonda | – | 3,856,990 | 4,452,214 | 4,041.44 | 954 | 1.6% | 0 |
| Gorakhpur | – | 5,341,731 | 6,304,583 | 3,367.95 | 1,586 | 2.2% | 0 |
| Hamirpur | – | 1,438,384 | 1,393,224 | 4,139.45 | 347 | 0.6% | 0 |
| Hapur | – | 1,617,080 | 1,338,808 | 1,066.85 | 1,516 | 0.7% | 0 |
| Hardoi | – | 4,892,357 | 3,759,509 | 6,014.5 | 813 | 2% | 0 |
| Jalaun | – | 2,001,698 | 2,041,780 | 4,516.56 | 443 | 0.8% | 0 |
| Jaunpur | – | 5,191,119 | 7,729,616 | 4,039.47 | 1,285 | 2.1% | 0 |
| Jhansi | – | 2,383,692 | 3,411,141 | 5,112.66 | 466 | 1% | 0 |
| Jyotiba Phule Nagar | – | 2,314,190 | 1,833,903 | 2,281.26 | 1,014 | 1% | 0 |
| Kannauj | – | 1,941,675 | 1,704,179 | 2,081.94 | 933 | 0.8% | 0 |
| Kanpur Dehat | – | 2,134,597 | 2,069,112 | 3,196.84 | 668 | 0.9% | 0 |
| Kanpur Nagar | – | 4,942,763 | 4,143,151 | 2,904.6 | 1,702 | 2% | 0 |
| Kanshiram Nagar | – | 1,744,594 | 1,319,893 | 2,019.28 | 864 | 0.7% | 0 |
| Kaushambi | – | 1,847,336 | 2,256,112 | 1,805.9 | 1,023 | 0.8% | 0 |
| Kheri | – | 5,017,497 | 4,393,319 | 7,709.01 | 651 | 2.1% | 0 |
| Kushinagar | – | 4,384,416 | 3,780,756 | 2,889.38 | 1,517 | 1.8% | 0 |
| Lalitpur | – | 1,506,536 | 2,113,893 | 5,063.54 | 298 | 0.6% | 0 |
| Lucknow | – | 6,350,037 | 7,530,534 | 2,543.61 | 2,496 | 2.6% | 0 |
| Mahamaya Nagar | – | 1,830,275 | 1,802,164 | 1,771.95 | 1,033 | 0.8% | 0 |
| Mahoba | – | 1,045,988 | 1,301,620 | 3,064.93 | 341 | 0.4% | 0 |
| Mahrajganj | – | 3,321,441 | 2,711,911 | 2,915.31 | 1,139 | 1.4% | 0 |
| Mainpuri | – | 2,148,753 | 2,273,704 | 2,638.11 | 815 | 0.9% | 0 |
| Mathura | – | 3,144,719 | 4,201,880 | 3,362.03 | 935 | 1.3% | 0 |
| Mau | – | 2,458,456 | 3,191,194 | 1,574.19 | 1,562 | 1% | 0 |
| Meerut | – | 4,083,962 | 3,577,767 | 2,621.11 | 1,558 | 1.7% | 0 |
| Mirzapur | – | 3,156,717 | 4,254,580 | 4,451.8 | 709 | 1.3% | 0 |
| Moradabad | – | 3,987,739 | 2,519,151 | 2,333.87 | 1,709 | 1.6% | 0 |
| Muzaffarnagar | – | 3,351,743 | 2,331,197 | 2,742.1 | 1,222 | 1.4% | 0 |
| Pilibhit | – | 2,505,353 | 1,860,179 | 3,778.59 | 663 | 1% | 0 |
| Pratapgarh | – | 4,046,083 | 5,420,689 | 3,718.11 | 1,088 | 1.7% | 0 |
| Rae Bareli | – | 3,444,467 | 4,012,797 | 3,957.44 | 870 | 1.4% | 0 |
| Rampur | – | 3,024,426 | 2,615,112 | 2,496.37 | 1,212 | 1.2% | 0 |
| Saharanpur | – | 4,222,896 | 3,244,061 | 3,742.5 | 1,128 | 1.7% | 0 |
| Sambhal | – | 2,796,739 | 1,714,841 | 2,463.79 | 1,135 | 1.1% | 0 |
| Samli | – | 1,559,464 | 1,178,504 | 1,337.9 | 1,166 | 0.6% | 0 |
| Sant Kabir Nagar | – | 2,039,987 | 2,134,367 | 1,746.94 | 1,168 | 0.8% | 0 |
| Sant Ravidas Nagar (Bhadohi) | – | 1,786,749 | 2,282,478 | 1,010.07 | 1,769 | 0.7% | 0 |
| Shahjahanpur | – | 3,698,387 | 2,979,394 | 4,484.54 | 825 | 1.5% | 0 |
| Shrawasti | – | 1,361,322 | 1,392,295 | 1,950.48 | 698 | 0.6% | 0 |
| Siddharthnagar | – | 3,346,022 | 2,645,138 | 2,921.22 | 1,145 | 1.4% | 0 |
| Sitapur | – | 5,439,689 | 4,190,308 | 5,788.42 | 940 | 2.2% | 0 |
| Sonbhadra | – | 2,387,673 | 4,915,319 | 6,893.71 | 346 | 1% | 0 |
| Sultanpur | – | 2,668,777 | 3,628,038 | 2,464.5 | 1,083 | 1.1% | 0 |
| Unnao | – | 4,142,265 | 3,878,417 | 4,603.73 | 900 | 1.7% | 0 |
| Varanasi | – | 4,789,710 | 5,493,708 | 1,548.37 | 3,093 | 2% | 0 |
Lapisan keterpaparan terbuka
Jumlah sel H3 resolusi 3 yang titik pusatnya berada di dalam unit dan memuat setiap lapisan Natural Earth.
- Kawasan perkotaan
- 4,591 H3 cells
- Pelabuhan
- Tidak ada pada resolusi ini
- Bandara
- 5 sel H3
- Jalan utama
- 3,636.6 H3 cells
- Jalur kereta api
- 4,788.7 H3 cells
- Sungai dan danau
- 2,706.3 H3 cells
Nilai risiko
Unit tetangga
- IN-CTChhattīsgarh
- IN-DLDelhi
- IN-BRBihār
- IN-RJRājasthān
- IN-JHJhārkhand
- IN-UTUttarākhand
- IN-MPMadhya Pradesh
- IN-HPHimāchal Pradesh
- IN-HRHaryāna
Sumber, kredit, dan lisensi
- Batas ADM1
- geoBoundaries (William & Mary geoLab), gbOpen IND ADM1, source: DataMeet India community, Election Commission of India, licence: Creative Commons Attribution 2.5 India (CC BY 2.5 IN) · source · represents 2011
- Batas ADM2
- geoBoundaries (William & Mary geoLab), gbOpen IND ADM2, source: Pathways Data Pvt. Ltd., lgdirectory.gov.in © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2021. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- Batas ADM3
- geoBoundaries (William & Mary geoLab), gbOpen IND ADM3, source: Pathways Data Pvt. Ltd., lgdirectory.gov.in © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2018. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- Batas ADM4
- geoBoundaries (William & Mary geoLab), gbOpen IND ADM4, source: Pathways Data Pvt. Ltd., lgdirectory.gov.in © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2019. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- Peta dasar
- OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
- Medan
- Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
- Penduduk
- Grid populasi GHSL 2025, European Commission Joint Research Centre (CC BY 4.0), ditampilkan pada 0.05° dan dijumlahkan per unit; WorldPop 2025 (CC BY 4.0) sebagai estimasi kedua. Unit yang lebih kecil dari satu sel grid mengambil kepadatan sel di bawahnya.
- Negara
- Natural Earth (domain publik).
- Ketinggian
- GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
- Posisi
- Batas ditampilkan hanya sebagai penunjuk lokasi dan tidak mengambil sikap atas batas, nama, atau status apa pun.
Status
Metodologi, struktur, dan definisi The Global Risks Index merupakan draf kerja persiapan (2026), yang diedarkan untuk ditinjau dan dikomentari, bukan untuk diterapkan. Tidak ada nilai yang ditampilkan sampai sebuah edisi dirilis dari pemotongan bukti yang diatur; nilai-nilai tersebut kemudian memuat interval, kelas, sumber, dan jalur koreksinya. Simulator menjalankan metode yang diterbitkan pada angka yang Anda pilih dan tidak pernah menampilkan nilai NXS-GRX.
Profil negara membaca bukti publik tentang suatu tempat. Profil ini bukan pernyataan oleh atau tentang kebijakan pemerintah mana pun, tidak mengambil posisi atas status wilayah mana pun, dan tidak menyiratkan adanya program nasional atau partisipasi. Nama mengikuti UN M49.
Apa yang bukan NXS-GRX
NXS-GRX adalah informasi riset dan analitik risiko. NXS-GRX bukan peringkat kredit atau ESG dan tidak memakai skala peringkat, bukan acuan untuk instrumen keuangan, bukan statistik resmi, bukan peringatan darurat atau klasifikasi resmi, dan bukan nasihat. NXS-GRX tidak boleh digunakan untuk menilai orang perseorangan. Kelas risiko adalah pita pada skala yang diterbitkan, tidak pernah peringkat negara atau orang.
Sinyal Pulse dan probabilitas prospek adalah informasi untuk ditinjau oleh otoritas yang berwenang, tidak pernah peringatan publik; peringatan resmi hanya berasal dari otoritas yang diberi mandat.
Lembaga dan sumber
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Setiap nilai memuat atribusi sumbernya, yang tetap memiliki lisensinya masing-masing. Nama-nama eksternal dikutip semata-mata untuk interoperabilitas. Teks yang disusun Nexus direncanakan berlisensi CC BY 4.0 saat dirilis.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.