Key Figures
Data Completeness
4/26 Core Data 48 Datasets 17 Organisations Show legend
What is Data Completeness?
Data Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
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Affected People
4 Datasets
Coordination & Context
15 Datasets
Food Security & Nutrition
2 Datasets
Geography & Infrastructure
18 Datasets
Health & Education
3 Datasets
Population & Socio-economic Indicators
9 Datasets
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  • 70+ Downloads
    Updated October 4, 2018 | Dataset date: Oct 2, 2018
    This dataset updates: Every year
    Imagery of Palu City (West) Indonesia after the 7.5 magnitude earthquake followed by tsunami courtesy of Digital Globe. Please see license below for attribution and limitations. Data extracted from OpenAerialMap. https://www.digitalglobe.com/opendata/indonesia-earthquake-tsunami/license
  • 100+ Downloads
    Updated October 4, 2018 | Dataset date: Oct 3, 2018
    This dataset updates: Never
    The data is available courtesy of BPS, BNPB and UNFPA. Downloaded from http://bnpb.cloud/dibi/pdesa.
  • 50+ Downloads
    Updated October 3, 2018 | Dataset date: Oct 1, 2018
    This dataset updates: Every year
    Indonesia sea routes from Ministry of Transportation (Kementerian Perhubungan). Extracted from MoT ArcGIS REST Services: https://portal-gis.dephub.go.id/server/rest/services/Tematik_Perhubungan_KementerianLembaga/FeatureServer/8
  • 40+ Downloads
    Updated October 3, 2018 | Dataset date: Oct 1, 2018
    This dataset updates: Every year
    Indonesia flight routes from Ministry of Transportation (Kementerian Perhubungan). Extracted from MoT ArcGIS REST Services: https://portal-gis.dephub.go.id/server/rest/services/Tematik_Perhubungan_KementerianLembaga/FeatureServer/3
  • 60+ Downloads
    Updated October 3, 2018 | Dataset date: Oct 1, 2018
    This dataset updates: Every year
    Indonesia airport from Ministry of Transportation (Kementerian Perhubungan). Extracted from MoT ArcGIS REST Services: https://portal-gis.dephub.go.id/server/rest/services/Tematik_Perhubungan_KementerianLembaga/FeatureServer/0
  • 60+ Downloads
    Updated October 3, 2018 | Dataset date: Sep 28, 2018
    This dataset updates: Every year
    This is a shape file showing the potential for inundation on the coast of Palu City and its surroundings, as a result of the Central Sulawesi Tsunami. This file was generated by BMKG - the Indonesian Meteorological, Climatological, and Geophysical agency.
  • 1900+ Downloads
    Updated October 1, 2018 | Dataset date: Sep 30, 2018
    This dataset updates: Never
    This datasets are extracted from the government sources. Levels 1-4 (Province to village) of Central Sulawesi areas where hit by M 7.4 RS Earthquake on 28 September 2018. Central Sulawesi administrative level 1 (province or special administrative area), 2 (Districts and Cities / Kabupaten and Kota), 3 ( Subdistricts / Kecamatan), and 4 (administrative Villages / Desa) boundary polygons. Each original resource with Indonesian field names and codes is accompanied by a version that appends standard field names and P-codes.
  • 90+ Downloads
    Updated September 28, 2018 | Dataset date: Jan 1, 1950-Dec 31, 2050
    This dataset updates: Every year
    The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
  • 90+ Downloads
    Updated August 1, 2018 | Dataset date: Jul 29, 2018
    This dataset updates: Every six months
    An Interferogram of the devastating earthquake in Indonesia last July 29, 2018 with a magnitude of 6.4. Data were processed using 2 Sentinel 1 data using repeat pass interferometry. One cycle (cold to hot color) means half of the radar wavelength which is approximately 3.5 - 7.5 cm wavelength. The data shows vertical ground displacement with respect to the satellites line of sight (LOS).
  • 500+ Downloads
    Updated December 18, 2017 | Dataset date: Jan 1, 2016
    This dataset updates: Never
    Change in monthly rainfall in Indonesia region with 1° increase in sea surface temperature of NINO-3.4 region
  • 20+ Downloads
    Updated October 12, 2017 | Dataset date: Oct 29, 2017
    This dataset updates: Never
    On 22 September 2017 at 20.30 hrs. Indonesia’s Centre of Volcanology and Geological Hazard Mitigation (PVMBG) increased the status of Mt. Agung in  Karangasem District, Bali Province from Level 3 (High Alert) to Level 4 (Danger), the highest level for a volcano. And on 29 October 2017, at 16.00 hrs, the status of Mt. Agung has been lowered from Level IV (dangerous) to Level III (alert). The no activity zone has also been reduced from 9 Km radius with additional sectoral expansion of 12km north-northwest and south-southwest become 6 km radius from the volcano with additional sectoral expansion of 7.5 km north-northwest and south-southwest. The displaced people who lived outside of the no activity zone start to return back home but advised to remain cautious.
  • 400+ Downloads
    Updated January 16, 2017 | Dataset date: May 1, 2010-May 31, 2010
    This dataset updates: Never
    The data coming from the census 2010 - used to develop this publication of infographics on population characteristics on each of Indonesia’s thirty-three provinces. The book is the result of cooperation between with BNPB and BPS and the United Nations agencies UNOCHA, UNFPA, WFP, and UNDP. UNFPA provided technical assistance in the preparation of the basic population indicators such as sex ratio, population density, main livelihood, and levels of literacy. In addition, this book also displays information regarding dependency ratio, fertility rates, life expectancy, and infant mortality rates included in the Population Projection 2010-2035. The results can be seen in this link: http://reliefweb.int/report/indonesia/indonesia-province-infographic-book-27-nov-2014 The datasets can also accessible in here: http://dibi.bnpb.go.id/profil-wilayah/11/aceh
  • 100+ Downloads
    Updated June 29, 2016 | Dataset date: Sep 6, 2013
    This dataset updates: Never
    Points represent capital cities of Indonesia. Includes National, Provincial, and Regency capitals, as well as Kotas.
  • 400+ Downloads
    Updated June 21, 2016 | Dataset date: Apr 21, 2016
    This dataset updates: Every three months
    This dataset contains a list of the countries affected by the El Niño as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the 2015-2016 El Niño: WFP and FAO Overview update. According to the World Bank, El Niño is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niño have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.
  • This map illustrates a land cover classification along Kapuas River in Central Kalimantan Province, Indonesia. It is derived from Landsat-8 multispectral imagery acquired on 3 August 2015 at 30 meter pixel resolution. The classification is divided into seven main classes: dense vegetation/forest, shrub/disturbed forest, agricultural areas, water, exposed sands/mining, affected waters/mining pits, and exposed soils. The inset table summarizes the total area for each class in the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated March 8, 2016 | Dataset date: Mar 4, 2016
    This dataset updates: Never
    This map illustrates affected mining areas along Kahayan River in Central Kalimantan Province, Indonesia. It is derived from Landsat-5 and Landsat-8 multispectral imagery acquired on 7 August 2005 and 3 August 2015 respectively at 30 meter pixel resolution. Affected mining areas are comprised of the exposed sands/mining and affected waters/mining pits land cover classes. The inset table summarizes the total affected mining area as of 7 August 2005 and 3 August 2015 within the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated March 8, 2016 | Dataset date: Mar 4, 2016
    This dataset updates: Never
    This map illustrates a land cover classification along Kahayan River in Central Kalimantan Province, Indonesia. It is derived from Landsat-8 multispectral imagery acquired on 3 August 2015 at 30 meter pixel resolution. The classification is divided into seven main classes: dense vegetation/forest, shrub/disturbed forest, agricultural areas, water, exposed sands/mining, affected waters/mining pits, and exposed soils. The inset table summarizes the total area for each class in the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates affected mining areas along Kapuas River in Central Kalimantan Province, Indonesia. It is derived from Landsat-5 and Landsat-8 multispectral imagery acquired on 7 August 2005 and 3 August 2015 respectively at 30 meter pixel resolution. Affected mining areas are comprised of the exposed sands/mining and affected waters/mining pits land cover classes. The inset table summarizes the total affected mining area as of 7 August 2005 and 3 August 2015 within the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates affected mining areas in the Galangan site and Katingan catchment area in Central Kalimantan Province, Indonesia. It is derived from Landsat-7 and Landsat-8 multispectral imagery acquired on 26 May 2002 and 24 September 2014 respectively at 30 meter pixel resolution. Affected mining areas are comprised of the exposed sands/mining and affected waters/mining pits land cover classes. The inset table summarizes the total affected mining area as of 26 May 2002 and 24 September 2014 within the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates a land cover classification of the Galangan site and Katingan catchment area in Central Kalimantan Province, Indonesia. It is derived from Landsat-8 multispectral imagery acquired on 24 September 2014 at 30 meter pixel resolution. The classification is divided into seven main classes: dense vegetation/forest, shrub/disturbed forest, agricultural areas, water, exposed sands/mining, affected waters/mining pits, and exposed soils. The inset table summarizes the total area for each class in the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 100+ Downloads
    Updated January 29, 2016 | Dataset date: Dec 31, 2015
    This dataset updates: Never
    The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.
  • 1700+ Downloads
    Updated January 4, 2016 | Dataset date: Dec 31, 2013
    This dataset updates: Never
    Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event