Data Grid 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 Grid Completeness board above. Please help us improve this feature by sending your feedback to
hdx@un.org.
Legend:
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
UNOSAT code FL20230327SOM This map illustrates satellite-detected surface waters in Shabelle Zone, Somali Region of Ethiopia and Beledweyne District, Hiraan Region of Somalia as observed from a Sentinel-2 image acquired on 29 April 2023 at 07:06 UTC. Within the analyzed area of about 5,300 km², about 180 km² of land appear to be flooded. Water extent appears to have increased by about 60 km² since 19 April 2023.
Based on Worldpop population data and the detected surface waters in the analyzed area, 7,500 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20230327SOM This map illustrates satellite-detected surface waters in Shabelle Zone, Somali Region, Ethiopia as observed from a Sentinel-2 image acquired on 2 April 2023 at 07:38 UTC. Within the analyzed area of about 22,000 km², about 180 km² of land appear to be flooded. Water extent appears to have decreased by about 230 km² since 28 March 2023.
Based on Worldpop population data and the detected surface waters in the analyzed area, 19,000 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20230327SOM This map illustrates satellite detected surface waters in Ferfer Woreda, Shabelle District, Shabelle Region, Ethiopia as observed from a SPOT-6 image acquired on 30 March 2023 at 07:01 UTC. Within the analyzed area of about 260km2, about 4 km2 of lands appear to be flooded.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20230327SOM This map illustrates satellite detected surface waters in Shabelle District, Shabelle Region, Ethiopia as observed from a Sentinel-2 image acquired on 28 March 2023 at 07:49 UTC. Within the analyzed area of about 44,000 km2, about 485 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, 40,000 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries.
The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff.
The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include:
• Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines
• Policy-related: government coordination and legal authorization, public communications and education, movement restrictions
• Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces
• Economic measures: economic and social measures, logistics / supply chains and security.
We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database.
Comments on the data can be submitted to covid.database.comments@dalberg.com
Questions can be submitted to covid.database.questions@dalberg.comwww.dalberg.com
This dataset contains the daily summaries on base stations across Ethiopia. The four indicators included are:
* TPCP: Total precipitation
* MXSD: Maximum snow depth
* TSNW: Total snow fall
* EMXP: Extreme maximum daily precipitation
Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions.
This dataset contains the latest 5 years of available data.
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.
The INFORM Greater Horn of Africa model is part of an initiative of Intergovernmental Authority on Development (IGAD) and OCHA to improve IGAD’s ability to analyse, visualise and disseminate information to support the prevention, preparedness and response to humanitarian crises in the region. The model will be updated regularly to support regional coordination and prioritise humanitarian, development, risk management and resilience investments.
100+ Downloads
This dataset updates: Never
This dataset is part of the data series [?]: INFORM Models
Nutrition hotspot woredas classified as priority 1, 2, 3 or no priority.
The classification of the hotspot woredas was done in 2 phases at regional and federal level. The regional level classification was completed on 22 May 2015 while the federal level classification team that comprised of DRMFSS/ENCU, WFP and FEWS-NET started on 25-27 May 2015. The hotspot woredas list is intended to guide nutrition cluster partners and other stakeholders to plan, prioritize resource allocation and implement /strengthen emergency nutrition responses particularly in priority one and two woredas; while the situation will be closely monitored in priority three.
Nutrition Hot Spot Woredas. This dataset has been created by Disaster Risk Management and Food Security Sector (DRMFSS) and Emergency Nutrition Coordination Unit (ENCU)
Hotspot woreda classification is derived using six multisector indicators, including agriculture and nutrition, agreed at regional and federal levels. A hotspot matrix is often used as a proxy for the acute Integrated Phase Food Security Classification (IPC) and is indicative of food security and nutrition status. Hotspot woredas require urgent humanitarian response.
Food and input prices of selected Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) member countries namely Kenya, Uganda, Tanzania, Rwanda and Ethiopia, for the below commodities:
a) Food commodities: banana, beans, beef, milk, irish potatoes, maize, rice, wheat, teff
b) Inputs: dap, diesel, gasoline
Aggregated data on food insecure population in Kenya, Ethiopia, Uganda, Sudan, South Sudan, Rwanda, Burundi, Djibouti and Somalia from Dec 2010 to Jan 2015
UNOSAT produced satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 1 May 2018. As observed from the satellite radar image, a total of 9,200 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 12,000 people are potentially affected or living close to the flooded area. This corresponds to about 7% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
Satellite Data: Sentinel-1