Uttarākhand
First-level unit, India: people, area, the units inside and neighbours, with risk values when released.
Inside Uttarākhand
The 13 ADM2 units of Uttarākhand.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
11,978,300
0.8% of India.
11,975,728
0% against GHSL; the two grids differ in method.
53,474 km²
224 people per km².
IN-UT
Subdivision code as carried by the boundary source.
Uttarākhand in humanitarian data
Source observations from the Humanitarian Data Exchange, matched to this unit by name, each with its reference date, provider and licence. They are not index values.
9.8%
of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
13 units inside Uttarākhand
Each unit has its own page.
Boundary licences: Creative Commons Attribution 2.5 India (CC BY 2.5 IN) · Open Data Commons Open Database License 1.0.
| Unit | కోడ్ | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Almora | – | 703,014 | 677,037 | 3,118.93 | 225 | 5.9% | 0 |
| Bageshwar | – | 291,470 | 325,438 | 2,275.43 | 128 | 2.5% | 0 |
| Chamoli | – | 481,469 | 466,388 | 7,880.25 | 61 | 4.1% | 0 |
| Champawat | – | 311,317 | 340,877 | 1,740.81 | 179 | 2.6% | 0 |
| Dehradun | – | 2,121,484 | 2,195,602 | 3,094.94 | 685 | 17.9% | 0 |
| Garhwal | – | 800,584 | 830,963 | 5,295.7 | 151 | 6.8% | 0 |
| Hardwar | – | 2,318,418 | 1,631,612 | 2,305.49 | 1,006 | 19.6% | 0 |
| Nainital | – | 1,133,009 | 1,483,794 | 4,038.1 | 281 | 9.6% | 0 |
| Pithoragarh | – | 540,008 | 509,186 | 7,167.73 | 75 | 4.6% | 0 |
| Rudraprayag | – | 250,287 | 231,696 | 1,938.29 | 129 | 2.1% | 0 |
| Tehri Garhwal | – | 676,991 | 626,618 | 3,922.35 | 173 | 5.7% | 0 |
| Udham Singh Nagar | – | 1,778,439 | 2,183,558 | 2,548.56 | 698 | 15% | 0 |
| Uttarkashi | – | 418,620 | 299,885 | 7,961.45 | 53 | 3.5% | 0 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 410.8 H3 cells
- Ports
- None at this resolution
- Airports
- None at this resolution
- Major roads
- 1,663.8 H3 cells
- Railways
- 215.5 H3 cells
- Rivers and lakes
- 328.3 H3 cells
Risk values
Neighbouring units
- IN-UPUttar Pradesh
- IN-HPHimāchal Pradesh
- IN-HRHaryāna
Sources, credits and licences
- ADM1 boundaries
- 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
- ADM2 boundaries
- 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.
- ADM3 boundaries
- 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.
- ADM4 boundaries
- 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.
- Basemap
- 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.
- Terrain
- 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.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- దేశాలు
- Natural Earth (public domain).
- Elevation
- 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.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
స్థితి
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
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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.