India: Administrative Division with Aggregated Population

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  • This dataset updates: As needed
This dataset is part of the data series [?]: Kontur - Administrative Division with Aggregated Population
Interactive Data
Additional information
Time Period of the Dataset [?]
April 07, 2022-April 07, 2022 ... More
Modified [?]
10 July 2023
Dataset Added on HDX [?]
13 April 2022 Less
Expected Update Frequency
As needed
Location
India
Source
Kontur
... More
Contributor
Kontur
Methodology

Administrative boundaries extracted from OpenStreetMap data using proprietary enhancements. They are filtered and enriched with aggregated population from Kontur Population: Global Population Density for 400m H3 Hexagons dataset. Non-integer population counts are rounded to integers. Enriched with HASC codes for regions taken from Wikidata. Administrative levels represented as two separate fields - 1) admin levels - admin levels from osm that were adjusted according to area of region to fix inconsistent display of the boundaries; 2) osm admin levels - source admin levels from OSM without adjusting.

Caveats / Comments

Dataset codebook (may be different for previous versions):

fid: (integer) record order in data upload.

admin_level: (text) administrative level of a feature based on government hierarchy in OSM. ''2'' is country level. Higher levels may be adjusted according to region area to look more consistent for different countries in the global version of the dataset.

osm_admin_level: (text) administrative level of a feature within a government hierarchy in OSM. https://wiki.openstreetmap.org/wiki/Key:admin_level

name: (text) primary name of the feature in OSM https://wiki.openstreetmap.org/wiki/Key:name

name_en: (text) A common name in English language of the feature in OSM https://wiki.openstreetmap.org/wiki/Key:name:en

population: (double precision) total population of administrative boundary based on aggregated population from Kontur Population: Global Population Density for 400m H3 Hexagons dataset.

hasc: (text) HASC and iso-3166-1 alpha-2 codes of region taken from Wikidata by its connection with OSM feature using ‘wikidata’ tag https://wiki.openstreetmap.org/wiki/Country_code, https://wiki.openstreetmap.org/wiki/Key:wikidata

geom: geometry (Polygon, EPSG 4326) Geometry representation of the data.

Global version of Kontur Boundaries is available at https://data.humdata.org/organization/kontur.

Dataset codebook for topology build:

fid: (integer) record order in data upload.

id: (integer) record order in data upload.

admin_level: (text) administrative level of a feature based on government hierarchy in OSM. ''2'' is country level. Higher levels may be adjusted according to region area to look more consistent for different countries in the global version of the dataset.

maritime: (boolean) flag which demonstrates if the border segment overlaps with the maritime area.

Copyright

Wikidata. Hierarchical Administrative Subdivision codes to represent country subdivisions is available under the Creative Commons CC0 License: HASC - Wikidata

Facebook High Resolution Settlement data: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Licence - Creative Commons Attribution International

Global Human Settlement Layer: Dataset: Schiavina, Marcello; Freire, Sergio; MacManus, Kytt (2019): GHS population grid multitemporal (1975, 1990, 2000, 2015) R2019A. European Commission, Joint Research Centre (JRC) DOI: 10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218 PID: http://data.europa.eu/89h/0c6b9751-a71f-4062-830b-43c9f432370f Concept & Methodology: Freire, Sergio; MacManus, Kytt; Pesaresi, Martino; Doxsey-Whitfield, Erin; Mills, Jane (2016): Development of new open and free multi-temporal global population grids at 250 m resolution. Geospatial Data in a Changing World; Association of Geographic Information Laboratories in Europe (AGILE). AGILE 2016.

Copernicus Global Land Service: Land Cover 100m: Marcel Buchhorn, Bruno Smets, Luc Bertels, Bert De Roo, Myroslava Lesiv, Nandin-Erdene Tsendbazar, Martin Herold, Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) [Data set] licensed for reuse under CC BY 4.0. Zenodo.

Microsoft Buildings: (see the full list of locations in Methods). This data is licensed by Microsoft under the Open Data Commons Open Database License (ODbL).

Land Information New Zealand (LINZ) NZ Building Outlines: sourced from the LINZ Data Service licensed for reuse under CC BY 4.0.

OpenStreetMap: Some data (c) OpenStreetMap.org Contributors Open Data Commons Open Database License (ODbL)
License
Open Database License (ODC-ODbL)
Tags
administrative boundaries-divisions
baseline population
geodata
File Format
Visibility
Public
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Export metadata for this dataset: JSON | CSV
[{"value": 1, "date": "2024-10-07"}, {"date": "2024-10-14", "value": 0}, {"value": 4, "date": "2024-10-21"}, {"date": "2024-10-28", "value": 0}, {"value": 5, "date": "2024-11-04"}, {"value": 3, "date": "2024-11-11"}, {"value": 5, "date": "2024-11-18"}, {"value": 2, "date": "2024-11-25"}, {"date": "2024-12-02", "value": 0}, {"value": 2, "date": "2024-12-09"}, {"value": 3, "date": "2024-12-16"}, {"value": 2, "date": "2024-12-23"}, {"value": 3, "date": "2024-12-30"}, {"date": "2025-01-06", "value": 0}, {"date": "2025-01-13", "value": 0}, {"value": 3, "date": "2025-01-20"}, {"value": 3, "date": "2025-01-27"}, {"date": "2025-02-03", "value": 0}, {"value": 3, "date": "2025-02-10"}, {"value": 1, "date": "2025-02-17"}, {"value": 5, "date": "2025-02-24"}, {"date": "2025-03-03", "value": 0}, {"date": "2025-03-10", "value": 0}, {"value": 4, "date": "2025-03-17"}, {"date": "2025-03-24", "value": 0}]

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