Rwanda

UNOSAT code FL20230504RWA, GDACS Id: 1101977 This map illustrates satellite-based damage assessment along the Sebaya River, Rubavu and Karongi Districts, Western Province, Rwanda detected by using a Pleiades very high resolution satellite image acquired on 6 May 2023. Within the analyzed area, UNOSAT identified 355 affected and potentially affected structures. 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 FL20230504RWA, GDACS Id: 1101977 This map illustrates satellite-detected surface waters and the potentially affected structures/roads along the Mukungwa River, Western & Northern Province, Rwanda as detected from a Pléiades image acquired on the 10th May 2023. Within the analysis extent of about 22 km2, 10 structures and 05 road segments appear to be potentially affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

UNOSAT code FL20230504RWA, GDACS Id: 1101977 This map illustrates satellite-detected landslides / mudslides around Kibingo, Congonil, Kagana and Ghanga Villages in Rutsiro District (Western Province, Rwanda) as observed/detected from a Sentinel-2 satellite imagery acquired on 07 May 2023 at 08:30 local time. Within the analysed area, about 2,5 km2 of landslides scars are observed. Some of past landslides seem to have been reactivated during these flooding/landslides event. 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 FL20230504RWA, GDACS Id: 1101977 Status: Washed away structures and damaged transportation network observed along the Sebaya River Further action(s): Continue monitoring Landslides /mudslides observed in Rubavu District, Western Province as of 6 May 2023; Washed away structures observed along the Sebaya River in Rubavu District, Western Province as of 6 May 2023; Damaged roads and damaged bridge by landslide/mudslide observed along the Sebaya River in Rubavu District, Western Province as of 6 May 2023;

UNOSAT code FL20230504RWA, GDACS Id: 1101977 This map illustrates satellite-detected surface waters in Kigali City, Southern, Northern, Western, and Eastern Provinces, Rwanda as observed from a Sentinel-1 image acquired on 5 May 2023 at 05:45 local time. Within the analyzed area of about 6,000 km², about 54 km² of land appear to be flooded. Water extent appears to have increased by about 34km² since 3 May 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, about 34,600 people are potentially exposed or living close flooded areas mainly along the Nyabarongo river, the potentially exposed population is mainly located in Southern Province with ~11,000 people, and Eastern Province with ~6,000 people This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.

UNOSAT code FL20230504RWA, GDACS Id: 1101977 This map illustrates satellite-detected surface waters in Kigali City, Southern, Northern, Western, and Eastern Provinces, Rwanda as observed from a Sentinel-1 image acquired on 3 May 2023 at 18:20 local time. Within the analyzed area of about 6,000 km2, about 20 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in Southern Province Zambezia province with ~7,000 people, and Kigali City with ~5,600 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.

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.com www.dalberg.com

This presents the raw hourly electricity consumption data from an energy data monitoring exercise performed as part of a wider feasibility study for renewable energy provision in Nyabiheke Camp, Rwanda. It is part of the Renewable Energy for Refugees (RE4R) project which aims to build the case for delivering renewable energy investments in humanitarian settings, working directly with refugees and host communities.

Community facilities surveys for Gihembe, Kigeme and Nyabiheke refugee camps in Rwanda. The surveys contain information on community facility type and operations, energy for lighting and other uses, access to electricity technologies, respondent needs and priorities, and other energy-related issues.

Enterprise surveys for Gihembe, Kigeme and Nyabiheke refugee camp in Rwanda. The datasets contain information on enterprise type and operations, energy for lighting and productive uses, access to electricity technologies, respondent needs and priorities, and other energy-related issues.

Household surveys for Gihembe, Kigeme and Nyabiheke refugee camps in Rwanda. The surveys contain information on household demographics, energy use for lighting and cooking, access to electricity technologies, respondent needs and priorities, and other energy-related issues.

EDUCATION Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )

Total migrants in Africa.

Food Security for the Horn of Africa For more information kindly visit http://www.fews.net

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.

FEWSNET Food Security for the Horn of Africa For more information, visit http://www.fews.net

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

Dashboard about UNICEF Great Lakes Needs and Response (Refugees)

African Development Bank, Bank Operations, 1967 January - 2012 December

Leadership, innovation and targeted investments in a number of social sectors have led to transformative interventions and in many cases revolutionized people’s lives, says an annual report produced jointly by the Economic Commission for Africa (ECA), the African Union (AU), the African Development Bank (AfDB) and the United Nations Development Programme (UNDP), called “Assessing Progress in Africa Toward the Millennium Development Goals”.

AFDB Commodity Prices, Monthly January 1960 - July 2016

AFDB Market Trends, January 2011 - July 2015

African Regional Energy Statistics, 2000 - 2014