Zimbabwe - Humanitarian Data Exchange

Africa: Covid-19 Infections (National)

HERA - Humanitarian Emergency Response Africa

300+ Downloads

Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021

This dataset updates: As needed

Covid-19 infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.

Africa: Covid-19 Cumulative infections (National)

HERA - Humanitarian Emergency Response Africa

200+ Downloads

Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021

This dataset updates: As needed

Covid-19 cumulative cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.

Global Food Prices Database (WFP)

WFP - World Food Programme

11000+ Downloads

Updated 22 August 2021 | Dataset date: January 01, 1990-August 15, 2021

This dataset updates: Never

This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 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.

CSV

Zimbabwe - Subnational Population Statistics

UNFPA

2000+ Downloads

Updated 5 August 2021 | Dataset date: August 05, 2021-October 25, 2021

This dataset updates: Every year

Zimbabwe administrative level 0-1 sex and age disaggregated 2021 projected population statistics REFERENCE YEAR: 2021 These CSV tables are suitable for linkage by P-code to the Zimbabwe - Subnational Administrative Boundaries shapefiles.

XLSX
CSV

Zimbabwe - Education Indicators

UNESCO

2500+ Downloads

Updated 4 August 2021 | Dataset date: January 01, 1970-December 31, 2019

This dataset updates: Every three months

Education indicators for Zimbabwe. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: National Monitoring (made 2021 March), SDG 4 Global and Thematic (made 2021 March), Demographic and Socio-economic (made 2021 March)

CSV

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

Updated 27 July 2021 | Dataset date: June 20, 2020-October 25, 2021

This dataset updates: Every three months

View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/d4969616de2348e388164b0a7909d352/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting income change

JSON

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

10+ Downloads

Updated 27 July 2021 | Dataset date: June 20, 2020-October 25, 2021

This dataset updates: Every three months

View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/5d16cc7cc65d4245b58cb0cf07f1d129/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting drop in crop production

JSON

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

Updated 27 July 2021 | Dataset date: June 20, 2020-October 25, 2021

This dataset updates: Every three months

View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/f767b5c05c694ae4b891d87016c611b4/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting sales change

JSON

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

10+ Downloads

Updated 27 July 2021 | Dataset date: June 20, 2020-October 25, 2021

This dataset updates: Every three months

View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/9d44fdf00fde4213950e8da771163ea7/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting shocks directly or indirectly related to COVID-19

JSON

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

Updated 27 July 2021 | Dataset date: June 20, 2020-October 25, 2021

This dataset updates: Every three months

View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/db6576af73174f6db30b6d6b4702537d/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting herd size change

JSON

Zimbabwe - Food Security Indicators

Food and Agriculture Organization (FAO)

800+ Downloads

Updated 18 July 2021 | Dataset date: January 01, 2000-December 31, 2020

This dataset updates: Every year

Food Security Indicators for Zimbabwe. Contains data from the FAOSTAT bulk data service.

CSV

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

10+ Downloads

Updated 23 June 2021 | Dataset date: June 20, 2020-October 25, 2021

This dataset updates: Every three months

View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/9d44fdf00fde4213950e8da771163ea7/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting needs of assistance

JSON

Zimbabwe - Data on forcibly displaced populations and stateless persons

UNHCR - The UN Refugee Agency

700+ Downloads

Updated 22 June 2021 | Dataset date: January 01, 2011-December 31, 2020

This dataset updates: Every six months

Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).

CSV

Zimbabwe - Education Facilities

OCHA ROSEA

50+ Downloads

Updated 17 June 2021 | Dataset date: June 16, 2021-October 25, 2021

This dataset updates: As needed

Location of education Facilities in Zimbabwe

XLSX

Zimbabwe : Humanitarian Needs Overview

OCHA ROSEA

100+ Downloads

Updated 15 June 2021 | Dataset date: June 08, 2021-October 25, 2021

This dataset updates: Every year

Humanitarian needs overview document for Zimbabwe 2021

XLSX

Zimbabwe: Affected Areas and Needs

OCHA ROSEA

30+ Downloads

Updated 15 June 2021 | Dataset date: June 08, 2021-October 25, 2021

This dataset updates: Every year

Zimbabwe Affected areas and needs data for 2021

XLSX

Zimbabwe: Zimbabwe Road Network (main roads)

WFP - World Food Programme

30+ Downloads

Updated 15 June 2021 | Dataset date: May 08, 2018-October 25, 2021

This dataset updates: As needed

This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways).

SHP

Zimbabwe: Humanitarian Needs Multisector Analysis

OCHA ROSEA

30+ Downloads

Updated 10 June 2021 | Dataset date: January 30, 2021-October 25, 2021

This dataset updates: Every year

Humanitarian needs overview for Zimbabwe

XLSX

Zimbabwe: GAM, MAM and SAM based on MUAC measurements

OCHA ROSEA

40+ Downloads

Updated 10 June 2021 | Dataset date: December 31, 2020-October 25, 2021

This dataset updates: As needed

GAM,MAM and SAM for zimbabwe based on MUAC measurements 2020

XLSX

Zimbabwe: Baseline population

OCHA ROSEA

100+ Downloads

Updated 10 June 2021 | Dataset date: December 31, 2020-October 25, 2021

This dataset updates: As needed

Zimbabwe baseline population projection for 2020

XLSX

Zimbabwe - Internally displaced persons - IDPs

Internal Displacement Monitoring Centre (IDMC)

600+ Downloads

Updated 30 May 2021 | Dataset date: January 01, 2009-December 31, 2020

This dataset updates: Every year

Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/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. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.

CSV

Zimbabwe - COVID-19 Impact on Food Security, Livelihoods and Local Markets (J...

UNHCR - The UN Refugee Agency

Updated 26 May 2021 | Dataset date: July 15, 2020-September 29, 2021

This dataset updates: Never

Assessment of the impact of the COVID-19 pandemic on food security, livelihoods and local markets for refugees in urban areas.

Web App
PDF

Relative Wealth Index

Facebook

6500+ Downloads

Updated 6 May 2021 | Dataset date: April 01, 2021-October 25, 2021

This dataset updates: As needed

The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution. More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ Research publication (preprint) for the Relative Wealth Index is available here: https://arxiv.org/abs/2104.07761 Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/

CSV

Zimbabwe - Human Development Indicators

UNDP Human Development Reports Office (HDRO)

200+ Downloads

Updated 4 May 2021 | Dataset date: January 01, 1990-December 31, 2030

This dataset updates: Every year

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

CSV

UN Collective Results on the COVID-19 Socioeconomic Response in 2020

United Nations Development Coordination Office

100+ Downloads

Updated 15 April 2021 | Dataset date: March 01, 2020-December 31, 2020

This dataset updates: Every three months

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.

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