Rwanda

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  • 1900+ Downloads
    Time Period of the Dataset [?]: April 18, 2024-April 18, 2024 ... More
    Modified [?]: 18 April 2024
    Dataset Added on HDX [?]: 21 July 2017
    This dataset updates: Every day
    This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-April 12, 2024 ... More
    Modified [?]: 17 April 2024
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: Every week
    This dataset is part of the data series [?]: ACLED - Conflict Events
    A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Rwanda. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • 20+ Downloads
    Time Period of the Dataset [?]: March 28, 2010-April 18, 2024 ... More
    Modified [?]: 17 April 2024
    Dataset Added on HDX [?]: 25 August 2022
    This dataset updates: Every day
    This dataset is part of the data series [?]: FEWS NET - Cross Border Trade Data
    Rwanda Daily cross border trade data collected by FEWS NET since 2010.
  • 4100+ Downloads
    Time Period of the Dataset [?]: January 01, 1990-December 31, 2021 ... More
    Modified [?]: 15 April 2024
    Dataset Added on HDX [?]: 28 July 2017
    This dataset updates: Every month
    This dataset is part of the data series [?]: WHO - WHO Health Indicators
    Contains data from World Health Organization's data portal covering the following categories: Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, Neglected tropical diseases, TOBACCO, Nutrition, World Health Statistics, Health financing, Substance use and mental health, Injuries and violence, HIV/AIDS and other STIs, Public health and environment, Urban health, Child mortality, Noncommunicable diseases, Noncommunicable diseases CCS, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Health inequality monitor, Health Equity Monitor, Child malnutrition, Organ transplants, Tobacco raise taxes, Electromagnetic fields, International Health Regulations (2005) monitoring framework, Postnatal care, Insecticide resistance, Substance abuse, Lead paint, Neglected Tropical Diseases, ORALHEALTH, Universal Health Coverage, Adolescent mortality, Maternal, newborn, child and adolescent healthand ageing, Education, UNICEF indicators, Financial Protection, Maternal and reproductive health, Research and Development, Country policy, SDG targets, Global Observatory for eHealth (GOe), Antimicrobial Surveillance, RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, FINANCIAL PROTECTION - IMPOVERISHMENT, Dementia, Health Expenditure, AMR GLASS, Noncommunicable diseases and mental health, Risk factors: Radon, Health workforce, International Health Regulations, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Family Planning, Immunization, Air pollution, Nutrition Landscape Information System, NLIS, Care Seek, Assistive Technology, Health policy, Hemoglobin level, Foodborne Diseases, Hazards impact on health, WASH, AMC GLASS, Electrification of health care facilities, Medical Devices, Prison data, Climate Change Survey, Child Mortality For links to individual indicator metadata, see resource descriptions.
  • 30+ Downloads
    Time Period of the Dataset [?]: October 18, 2023-April 15, 2024 ... More
    Modified [?]: 15 April 2024
    Dataset Added on HDX [?]: 14 December 2023
    This dataset updates: Every day
    This dataset is part of the data series [?]: IDMC - Internal Displacement Updates
    Conflict and disaster population movement (flows) data for Rwanda. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles (https://www.internal-displacement.org/publications/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD), accessible at https://www.internal-displacement.org/database/displacement-data. The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
  • 60+ Downloads
    Time Period of the Dataset [?]: July 01, 2002-April 10, 2024 ... More
    Modified [?]: 14 April 2024
    Dataset Added on HDX [?]: 13 July 2023
    This dataset updates: Every two weeks
    This dataset is part of the data series [?]: WFP - NDVI at Subnational Level
    This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units. Included indicators are (for each dekad): 10 day NDVI (vim) NDVI long term average (vim_lta) 10 day NDVI anomaly [%] (viq) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2024 ... More
    Modified [?]: 14 April 2024
    Dataset Added on HDX [?]: 13 July 2023
    This dataset updates: Every two weeks
    This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level
    This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2022 ... More
    Modified [?]: 14 April 2024
    Dataset Added on HDX [?]: 10 March 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Security Indicators
    Food Security and Nutrition Indicators for Rwanda. Contains data from the FAOSTAT bulk data service.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 1991-December 31, 2022 ... More
    Modified [?]: 14 April 2024
    Dataset Added on HDX [?]: 4 May 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Prices
    Food Prices for Rwanda. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
  • 700+ Downloads
    Time Period of the Dataset [?]: January 15, 2000-March 15, 2024 ... More
    Modified [?]: 14 April 2024
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Prices
    This dataset contains Food Prices data for Rwanda, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • Time Period of the Dataset [?]: July 01, 2011-April 18, 2024 ... More
    Modified [?]: 14 April 2024
    Dataset Added on HDX [?]: 4 October 2022
    This dataset updates: Every month
    Rwanda Near Term Projection FEWS NET Acute Food Insecurity Classifications data since 2011 to 2022.
  • Time Period of the Dataset [?]: July 01, 2011-April 18, 2024 ... More
    Modified [?]: 14 April 2024
    Dataset Added on HDX [?]: 4 October 2022
    This dataset updates: Every month
    Rwanda Current Situation FEWS NET Acute Food Insecurity Classifications data since 2011 to 2015.
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 2011-April 18, 2024 ... More
    Modified [?]: 14 April 2024
    Dataset Added on HDX [?]: 2 August 2023
    This dataset updates: Every week
    This dataset is part of the data series [?]: Water Point Data Exchange - Country Data
    WPdx is a platform to compile crowdsourced data focused on rural water points (wells, springs, tapstands) with contributions from governments, NGOs, and researchers. Shared data is cleaned and harmonized using the WPdx Data Standard to create a robust analysis-ready dataset. There are two primary datasets available from WPdx. The first is WPdx-Basic, which includes all records shared with the platform. The second, WPdx-Plus is a subset of the Basic dataset which focuses on countries where district and/or national data is available and undergoes additional cleaning. WPdx-Plus is used as an input to the WPdx Decision Support tools and is the basis for the datasets posted here. The decision support tools provide insights on rural basic water service access and recommendations regarding prioritized water point repair, highlight areas with apparent service gaps, and identify water points which are at high risk of failure. For each country where WPdx data is available, there are two datasets available for download are described below. The wpdx_adm_region_analysis file provides an overview of the population served, unserved and uncharted for each available administrative level. The file also includes a data quality analysis based on water point record age. The wpdx_water_points file provides water point level details for each point shared with WPdx including all the WPdx data standard parameters plus results from the WPdx Rehab Priority, Service Gap/New Construction and Status Prediction analyses. A data dictionary describing each parameter included in each file is available in the Data and Resources section. To share data with the WPdx platform, please visit (www.waterpointdata.org/share-data) and/or reach out to info@waterpointdata.org
  • Time Period of the Dataset [?]: August 18, 2015-March 05, 2024 ... More
    Modified [?]: 12 April 2024
    Dataset Added on HDX [?]: 12 April 2024
    This dataset updates: Every year
    This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
  • Time Period of the Dataset [?]: July 01, 2011-April 18, 2024 ... More
    Modified [?]: 12 April 2024
    Dataset Added on HDX [?]: 4 October 2022
    This dataset updates: Every month
    Rwanda Medium Term Projection FEWS NET Acute Food Insecurity Classifications data since 2011 to 2022.
  • Time Period of the Dataset [?]: February 01, 2017-April 18, 2024 ... More
    Modified [?]: 12 April 2024
    Dataset Added on HDX [?]: 4 October 2022
    This dataset updates: Every month
    Rwanda Most Likely in 6 months FEWS NET Acutely Food Insecure Population Estimates Data Since 2017 to 2021.
  • 600+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-April 18, 2024 ... More
    Modified [?]: 10 April 2024
    Dataset Added on HDX [?]: 11 January 2024
    This dataset updates: Every month
    The Movement Distribution dataset shows the range of movement of people away from the area where they live on a daily basis. These maps are useful for projects focused on transportation, tourism, displacement, and other areas. More info available here: https://dataforgood.facebook.com/dfg/tools/movement-distribution-maps
  • 100+ Downloads
    Time Period of the Dataset [?]: October 01, 1990-October 06, 2019 ... More
    Modified [?]: 3 April 2024
    Dataset Added on HDX [?]: 16 September 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: UCDP - Data on Conflict Events
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 March 2024
    Dataset Added on HDX [?]: 28 June 2017
    This dataset updates: Every month
    Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2022 ... More
    Modified [?]: 27 March 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Trade
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Trade is a key means to fight poverty and achieve the Millennium Development Goals, specifically by improving developing country access to markets, and supporting a rules based, predictable trading system. In cooperation with other international development partners, the World Bank launched the Transparency in Trade Initiative to provide free and easy access to data on country-specific trade policies.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2022 ... More
    Modified [?]: 27 March 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Economic and Social development
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2022 ... More
    Modified [?]: 27 March 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Climate Change
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 27 March 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Millenium development goals
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 March 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Gender
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Gender equality is a core development objective in its own right. It is also smart development policy and sound business practice. It is integral to economic growth, business growth and good development outcomes. Gender equality can boost productivity, enhance prospects for the next generation, build resilience, and make institutions more representative and effective. In December 2015, the World Bank Group Board discussed our new Gender Equality Strategy 2016-2023, which aims to address persistent gaps and proposed a sharpened focus on more and better gender data. The Bank Group is continually scaling up commitments and expanding partnerships to fill significant gaps in gender data. The database hosts the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2022 ... More
    Modified [?]: 27 March 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Development
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Cities can be tremendously efficient. It is easier to provide water and sanitation to people living closer together, while access to health, education, and other social and cultural services is also much more readily available. However, as cities grow, the cost of meeting basic needs increases, as does the strain on the environment and natural resources. Data on urbanization, traffic and congestion, and air pollution are from the United Nations Population Division, World Health Organization, International Road Federation, World Resources Institute, and other sources.