{"geometry": {"type": "MultiPolygon", "coordinates": [[[[34.96673, -11.57211], [34.62486, -11.57938], [34.38444, -12.12986], [34.56569, -13.33958], [35.09527, -13.68611], [35.87603, -14.66112], [35.81597, -16.01361], [35.29166, -16.22833], [35.29005, -17.13426], [34.40958, -16.19917], [34.2625, -15.91153], [34.59333, -15.25306], [34.54111, -14.61556], [34.36375, -14.38597], [33.63333, -14.53972], [33.22223, -14.01257], [32.78097, -13.63875], [32.97749, -13.22917], [33.06902, -12.58528], [33.27139, -12.12993], [33.41041, -11.16319], [33.25041, -10.89208], [33.70228, -10.56186], [33.20694, -9.6025], [32.9404, -9.40508], [33.42916, -9.60965], [34.04153, -9.48375], [34.53486, -10.04597], [34.61604, -11.11076], [34.96673, -11.57211]]]]}, "type": "Feature", "properties": {"url": "/group/mwi", "name": "Malawi"}, "id": "MWI"}
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20+ Downloads
Time Period of the Dataset [?]: February 17, 2023-February 17, 2023
... More
Modified [?]: 24 November 2023
Dataset Added on HDX [?]: 24 November 2023
This dataset updates: Never
ADAM ID: FL-20230217-MWI-01 Flood covering 106653.0 sq m on Feb 17 2023 in Malawi. It impacted 182158 people.
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Time Period of the Dataset [?]: March 01, 2023-March 01, 2023
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Modified [?]: 24 November 2023
Dataset Added on HDX [?]: 24 November 2023
This dataset updates: Never
ADAM ID: FL-20230301-MWI-02 Flood covering 111044.0 sq m on Mar 01 2023 in Malawi. It impacted 233237 people.
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10+ Downloads
Time Period of the Dataset [?]: March 23, 2023-March 23, 2023
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Modified [?]: 24 March 2023
Dataset Added on HDX [?]: 24 March 2023
This dataset updates: Never
UNOSAT code TC20230314MWI, GDACS Id: 1000961 This map illustrates cumulative satellite-detected surface waters in Southern Region, Malawi between 17 to 21 March 2023 as observed from: VIIRS imagery from 17 to 21 March 2023; Sentinel-1 imagery acquired on 17 Mar. 2023 and Sentinel-2 imagery acquired on 21 Mar. 2023.
Within the analyzed area of about 30,000 km2, about 2,100 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, ~280,000 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).
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.
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10+ Downloads
Time Period of the Dataset [?]: March 17, 2023-March 17, 2023
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Modified [?]: 18 March 2023
Dataset Added on HDX [?]: 18 March 2023
This dataset updates: Never
UNOSAT code TC20230314MWI, GDACS Id: 1000961 This map illustrates satellite-detected surface waters in Southern Region, Malawi & Tete and Zambezia Provinces, Mozambique as observed from a Sentinel-1 image acquired on 17 Mar. 2023 at 05:09 local time.
Within the analyzed area in Malawi of about 5,000 km2, about 320 km2 of land appear to be flooded. Water extent appears to have increased of about 60km² since the 14 Mar. 2023.
Within the analyzed area in Mozambique of about 20,500 km2, about 1,000 km2 of land appear to be flooded. Water extent appears to have increased of about 150km² since the 14 Mar. 2023.
Based on Worldpop population data and the detected surface waters in the analyzed area in Malawi and Mozambique, respectively ~47,000 people and ~75,000 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).
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.
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30+ Downloads
Time Period of the Dataset [?]: March 14, 2023-March 14, 2023
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Modified [?]: 15 March 2023
Dataset Added on HDX [?]: 15 March 2023
This dataset updates: Never
UNOSAT code TC20230314MWI, GDACS Id: 1000961 This map illustrates satellite-detected surface waters in Southern Region, Malawi as observed from a RCM-2 image acquired on 14 Mar. 2023 at 05:10 local time. Within the analyzed area of about 7,200 km2, about 430 km2 of land appear to be flooded.
Based on Worldpop population data and the detected surface waters in the analyzed area, ~75,000 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).
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.
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10+ Downloads
Time Period of the Dataset [?]: February 03, 2022-February 03, 2022
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Modified [?]: 16 February 2022
Dataset Added on HDX [?]: 16 February 2022
This dataset updates: Never
UNOSAT code: TC20220126MWI This map illustrates the floods (cumulative) aggregated using Sentinel-1 images acquired between 26 January and 2 February 2022 about 05:00 local time. The flood analysis were carried out by using automated analysis with an Artificial Intelligence based method, and Worldpop spatial demographic data. About 102,000 people were exposed or living close to flooded areas. The population potentially exposed to floods are mainly located in the districts of Chikwawa with ~ 33,700 people and Nsanje with ~ 33,700 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 backscattering properties of the radar signal.
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10+ Downloads
Time Period of the Dataset [?]: February 03, 2022-February 03, 2022
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Modified [?]: 16 February 2022
Dataset Added on HDX [?]: 16 February 2022
This dataset updates: Never
UNOSAT code: TC20220126MWI This map illustrates population potentially exposed to floods (cumulative) aggregated by district in Malawi from Sentinel-1 images acquired between 26 January and 2 February 2022 about 05:00 local time. The flood analysis was carried out by using automated analysis with an Artificial Intelligence based method, and Worldpop spatial demographic data. About 102,000 people were exposed or living close to flooded areas. The population potentially exposed to floods are mainly located in the districts of Chikwawa with ~ 33,700 people and Nsanje with ~ 33,700 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 backscattering properties of the radar signal.
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10+ Downloads
Time Period of the Dataset [?]: January 27, 2022-January 27, 2022
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Modified [?]: 16 February 2022
Dataset Added on HDX [?]: 16 February 2022
This dataset updates: Never
UNOSAT code: TC20220126MWI This map illustrates satellite-detected surface waters in Balaka, Blantyre, Neno, and Zomba districts, Southern region, Malawi as observed from a Sentinel-1 image acquired on 26 January 2021 at 05:16 local time and using an automated analysis with Artificial Intelligence based methods.
Within the analyzed area of about 1,000 km2, about 28 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 5,400 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) .
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
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200+ Downloads
Time Period of the Dataset [?]: December 31, 2015-December 31, 2015
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Modified [?]: 10 November 2019
Dataset Added on HDX [?]: 23 June 2016
This dataset updates: Never
EDUCATION
Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )
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200+ Downloads
Time Period of the Dataset [?]: January 01, 2006-December 31, 2015
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Modified [?]: 10 November 2019
Dataset Added on HDX [?]: 19 May 2016
This dataset updates: Never
Total migrants in Africa.
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40+ Downloads
Time Period of the Dataset [?]: September 28, 2015-September 28, 2015
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Modified [?]: 11 February 2019
Dataset Added on HDX [?]: 17 August 2018
This dataset updates: Never
High exposure, High sensitivity and low adaptive capacity leads to high vulnerability. The severity of vulnerability determines the likely impacts to a system that changing climate can have.
This data has been developed by RCMRD and Malawi Department of Disaster Management Affairs (DoDMA).
SERVIR is a joint USAID-NASA project. For more information on SERVIR, visit
http://www.servirglobal.net
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Time Period of the Dataset [?]: January 01, 1950-December 31, 2050
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Modified [?]: 28 September 2018
Dataset Added on HDX [?]: 28 September 2018
This dataset updates: Never
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.
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30+ Downloads
Time Period of the Dataset [?]: July 09, 2015-July 09, 2015
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Modified [?]: 16 August 2018
Dataset Added on HDX [?]: 16 October 2015
This dataset updates: Never
MASDAP (Malawi Spatial Data Portal) (Active in July 2015)
Website for download and upload of spatial datasets and maps, managed by the National Spatial Data Center (in the Department of Surveys), in collaboration with the National Statistics Office and a number of technical Ministries, and supported by the World Bank.
Portal Functionalities include:
Upload, Manage and Browse Spatial Data
Explore, Compose and Share maps
Search and Download Documents
Profiles for Users
Hosts a variety of data categories, for download in shapefile or kml format.
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50+ Downloads
Time Period of the Dataset [?]: March 06, 2015-March 06, 2015
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Modified [?]: 16 August 2018
Dataset Added on HDX [?]: 16 October 2015
This dataset updates: Never
DTM (Displacement Tracking Matrix) IDP Sites in the Southern Region of Malawi, including the number of IDP's per site, as at 6 March 2015 (Google Earth kmz file).
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200+ Downloads
Time Period of the Dataset [?]: March 06, 2015-March 06, 2015
... More
Modified [?]: 16 August 2018
Dataset Added on HDX [?]: 16 October 2015
This dataset updates: Never
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40+ Downloads
Time Period of the Dataset [?]: May 20, 2015-May 20, 2015
... More
Modified [?]: 15 August 2018
Dataset Added on HDX [?]: 16 October 2015
This dataset updates: Never
IOM DTM (Displacement Tracking Matrix) Displacement Sites as of 20 May 2015 (Google Earth kmz file).
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200+ Downloads
Time Period of the Dataset [?]: December 31, 2017-December 31, 2017
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Modified [?]: 9 July 2018
Dataset Added on HDX [?]: 9 July 2018
This dataset updates: Never
Average annual salaries for males and females in Africa.
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400+ Downloads
Time Period of the Dataset [?]: December 31, 2017-December 31, 2017
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Modified [?]: 9 July 2018
Dataset Added on HDX [?]: 9 July 2018
This dataset updates: Never
Africa - Population and Internet users statistics
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40+ Downloads
Time Period of the Dataset [?]: June 30, 2017-June 30, 2017
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Modified [?]: 28 July 2017
Dataset Added on HDX [?]: 28 July 2017
This dataset updates: Never
Dashboard about Southern Africa Situation and Response (UNICEF) from 1 January - 30 june 2017
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400+ Downloads
Time Period of the Dataset [?]: October 27, 2016-October 27, 2016
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Modified [?]: 7 July 2017
Dataset Added on HDX [?]: 16 April 2015
This dataset updates: Never
This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
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200+ Downloads
Time Period of the Dataset [?]: August 06, 2015-August 06, 2015
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Modified [?]: 17 January 2017
Dataset Added on HDX [?]: 8 November 2016
This dataset updates: Never
African Development Bank, Bank Operations, 1967 January - 2012 December
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300+ Downloads
Time Period of the Dataset [?]: December 08, 2011-December 08, 2011
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Modified [?]: 24 November 2016
Dataset Added on HDX [?]: 13 October 2016
This dataset updates: Never
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”.
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200+ Downloads
Time Period of the Dataset [?]: August 20, 2016-August 20, 2016
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Modified [?]: 24 November 2016
Dataset Added on HDX [?]: 8 November 2016
This dataset updates: Never
AFDB Commodity Prices, Monthly January 1960 - July 2016
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100+ Downloads
Time Period of the Dataset [?]: October 12, 2015-October 12, 2015
... More
Modified [?]: 24 November 2016
Dataset Added on HDX [?]: 8 November 2016
This dataset updates: Never
AFDB Market Trends, January 2011 - July 2015
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400+ Downloads
Time Period of the Dataset [?]: April 17, 2016-April 17, 2016
... More
Modified [?]: 24 November 2016
Dataset Added on HDX [?]: 8 November 2016
This dataset updates: Never
African Regional Energy Statistics, 2000 - 2014