Zimbabwe

Key Figures
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 15 June 2021
    Dataset Added on HDX [?]: 15 June 2021
    Humanitarian needs overview document for Zimbabwe 2021
    80+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 15 June 2021
    Dataset Added on HDX [?]: 15 June 2021
    Zimbabwe Joint severity analysis.
    50+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: January 30, 2021-March 29, 2024 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 10 June 2021
    Humanitarian needs overview for Zimbabwe
    40+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: December 31, 2020-December 31, 2021 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 10 June 2021
    GAM,MAM and SAM for Zimbabwe based on MUAC measurements
    70+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: December 31, 2020-March 29, 2024 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 10 June 2021
    Zimbabwe baseline population projection for 2020
    70+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More
    Modified [?]: 15 April 2021
    Dataset Added on HDX [?]: 15 April 2021
    Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
    300+ Downloads
    This dataset updates: Every three months
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 6 March 2021
    Dataset Added on HDX [?]: 11 December 2019
    UNICEF Eastern and Southern Africa Risks and Hazards- situation and response
    100+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: November 20, 2020-November 20, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 20 November 2020
    Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
    400+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: December 01, 2020-February 19, 2021 ... More
    Modified [?]: 22 February 2021
    Dataset Added on HDX [?]: 7 December 2020
    The dataset contains 93 harmonized indicators on 14 topics (demographic, food security, education, labor, health..) on households and individuals in 44 countries across all developing regions.
    600+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: July 15, 2020-September 29, 2021 ... More
    Modified [?]: 19 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    Assessment of the impact of the COVID-19 pandemic on food security, livelihoods and local markets for refugees in urban areas.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: December 31, 2019-December 31, 2019 ... More
    Modified [?]: 30 October 2020
    Dataset Added on HDX [?]: 15 October 2019
    UNICEF Eastern and Southern Africa Risks and Hazards- situation
    100+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: October 31, 2020-October 31, 2020 ... More
    Modified [?]: 30 October 2020
    Dataset Added on HDX [?]: 3 March 2020
    Eastern and Southern Africa Risk Analysis based on Inform, FEWSNET, OCHA, UNICEF and others
    200+ Downloads
    This dataset updates: Every six months
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 12 September 2020
    Dataset Added on HDX [?]: 20 July 2017
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: World Pop - Population Counts
  • Time Period of the Dataset [?]: June 01, 2016-June 01, 2017 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    200+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 22 June 2020
    Dataset Added on HDX [?]: 24 November 2020
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Population Density
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 6 May 2020
    Confirmed [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    This data contains the number of people in need, internally displaced persons (IDPs), returnees and refugees for 25 countries.
    500+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: March 26, 2020-March 26, 2020 ... More
    Modified [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
    300+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More
    Modified [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    This dataset contains simulation ­based estimates for COVID­-19 epidemic scenarios in OCHA HRP countries. Simulation is done by London School of Hygiene & Tropical Medicine(LSHTM).
    300+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: December 31, 2019-December 31, 2019 ... More
    Modified [?]: 8 February 2020
    Confirmed [?]: 30 October 2020
    Dataset Added on HDX [?]: 15 October 2019
    The Database and dashboard covers the regional humanitarian situation including targets, results and funding all as of December 2019 for entire Eastern and Southern Africa. Annual 2019 Database.
    100+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: October 23, 2017-October 27, 2017 ... More
    Modified [?]: 16 January 2020
    Dataset Added on HDX [?]: 7 February 2021
    This assessment was carried out in Zimbabwe's Tongogara Refugee Camp. Its aim was to help UNHCR better understand refugees' and asylum seekers' living conditions and needs, which in turn will inform priority setting, programming and advocacy. The assessment was underpinned by the objectives of the "Graduation Approach" which targets support to the ultra-poor amongst the refugee population. A quantitative survey was conducted among 386 households during October 2017.
    10+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 5 December 2019
    Dataset Added on HDX [?]: 7 February 2021
    Since 2014, UNHCR has undertaken a comprehensive revision of the framework for monitoring UNHCR Livelihoods and Economic Inclusion programs. Since 2017, mobile data collection (survey) tools have been rolled out globally, including in Zimbabwe. The participating operations conducted a household survey to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline (103 observations) and endline data (89 observations) from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: May 01, 2019-May 31, 2019 ... More
    Modified [?]: 5 December 2019
    Dataset Added on HDX [?]: 7 February 2021
    Tropical Cyclone Idai made a landfall on 14th March, 2019 which immensely affected Mozambique, Malawi and Zimbabwe. The Eastern Provinces of Zimbabwe which experienced torrential rainfall caused extensive destruction of properties and infrastructures as well as loss of lives. High winds combined with heavy rainfall affected about 90,000 people from districts of Chimanimani, Chipinge, Nyanga, Buhera, Mutare Rural, Masvingo, Makoni, Gutu and Bikita which caused riverine and flash flooding as well as landslides which caused significant loss of life, injury and displacement. Significant damages were recorded such as impassable roads, bridge, water network systems, houses, power and communication network among others causing displacement, lack of basic needs and loss of civil documentation. Many people were displaced and temporarily sheltered in schools, churches, hotels among others. According to the government reports at least 299 deaths and 186 injuries were recorded, and 329 people were missing as of 3 April. Women and children were among the vulnerable groups at risk that needed relief and recovery support. UNHCR joined the UN system response that activated its internal level 3 emergency so as to support the delivery of its commitments under the IASC Approach while leading the Protection Cluster.In Zimbabwe, the rapid inter-agency assessment was conducted in Chipinge and Chimanimani, the most affected districts of Manicaland province indicated that 270,000 people estimated were affected. Multiple assessments were conducted by humanitarian partners covering all the affected areas and identifying the needs. In Tongogara Refugee Camp about 1060 shelters and 618 latrines were partially or totally damaged affecting 5,300 refugees and asylum seekers. Thus the urgent need to respond to WASH, Public Health, Shelter, and Protection among other needs of the people affected by Cylone Idai in Zimbabwe.
    10+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - WASH KAP Survey
  • Time Period of the Dataset [?]: January 01, 2008-March 29, 2024 ... More
    Modified [?]: 1 November 2019
    Dataset Added on HDX [?]: 28 April 2014
    List of airports in Zimbabwe, with latitude and longitude. Unverified community data from http://ourairports.com/countries/ZW/
    90+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: Our Airports - Airports