UNMIK collected daily, from publicly available sources, COVID-19 information for Kosovo* (daily and total cases, fatalities, recoveries as well as active cases and testing). This dataset combines information issued by both Pristina and Belgrade authorities in the Mission area, as well as presenting the breakdown of the two systems.
*All references to “Kosovo” in this document are made in the context of UN Security Council Resolution 1244 of 1999.
Security Council Presidencies by Member State elected to the Security Council, broken down by terms served on the Council. This dataset does not include permanent members (P5) of the Security Council.
UNOSAT code: CE20231007PSE This map illustrates a satellite-imagery based comprehensive assessment of damage and destruction to structures within the area of interest in the Gaza Strip, Occupied Palestinian Territory, based on images collected on 6 and 7 January 2024 when compared to images collected on 1 May 2023, 10 May 2023, 18 September 2023, 15 October 2023, 7 November 2023, and 26 November 2023. According to satellite imagery analysis, UNOSAT identified 22,130 destroyed structures, 14,066 severely damaged structures and 32,950 moderately damaged structures, for a total of 69,146 structures. These correspond to around 30% of the total structures in the Gaza Strip and a total of 93,800 estimated damaged housing units. The governorates of Gaza and Khan Yunis have experienced the highest rise in damage, with 10,319 new structures damaged in Gaza and 11,893 in Khan Yunis. Gaza City had the highest number of newly destroyed structures, with 8,926 in total. This is a preliminary analysis and has not yet been validated in the field.
Monthly DEEP extracts related to the Sudan Situational Analyses conducted by DFS and iMMAP Inc. They are provided by sector and operational environment themes. DOCX files contain the screenshot of the visuals used as DEEP entries. XLSX files contain links to the screenshots stored in the DEEP platform. 2024 extracts are available here.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['highway'] IS NOT NULL
Features may have these attributes:
name
name:en
highway
surface
smoothness
width
lanes
oneway
bridge
layer
source
name:uk
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
1300+ Downloads
This dataset updates: As needed
This dataset is part of the data series [?]: HOTOSM - Roads
Consolidated 3W data from Inter Sector Coordination Group (ISCG), collected from the partners and organisations involved in the humanitarian response in Cox's Bazar, Bangladesh.
Sudan administrative level 0-1 sex and age disaggregated 2022 projected population statistics
These tables are suitable for database or GIS linkage to the Sudan - Subnational Administrative Boundaries layers using the ADM0 and ADM1_PCODE fields.
Mozambique administrative level 0-2 2023 projected sex and age disaggregated population statistics
REFERENCE YEAR: 2023
These tables are suitable for database or GIS linkage to the Mozambique - Subnational Administrative Divisions at levels 0-2 using the ADM0, ADM1, and ADM2_PCODE fields.
Ethiopia administrative level 0-3 sex and age disaggregated projected 2022 population statistics.
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Ethiopia - Subnational Administrative Boundaries.
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity.
We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways.
There is also a global dataset.
40+ Downloads
This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
Haiti administrative level 3 sex and age disaggregated projected population statistics.
The upper age limit for the 'enfants', 'filles', and 'garcons' ('children', 'girls', and 'boys') categories is 17.
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Haiti - Subnational Administrative Boundaries layers using the ADM1 and ADM2_PCODE fields.
The CoRA employs a multi-sectoral location-level assessment (MSLA) methodology conducted with local authority key informants at the settlement or city-raion level.
The assessment is based on 20 indicators divided into five ‘drivers’:
(1) livelihoods,
(2) utilities and services
(3) residential destruction,
(4) safety and security, and
(5) public life.
The indicators describe the critical or minimum conditions required for sustainable return and reintegration in Ukraine. The scores of each indicator and driver are grouped into three categories: low, medium, and high severity of living conditions.
For more information on the methodology, please refer to the full report. When requesting the dataset, please specify if you would like to receive the report as well.
The WoAA provides crucial insights and consistent information to the Humanitarian Needs and Response Plan (HNRP) process, enabling stakeholders to make evidence-based decisions and prioritize interventions effectively. The annual reiteration of the assessment, also allows for longitudinal analysis of needs and severity across different population groups and geographical areas.
Humanitarian Situation Monitoring aims to collect and then triangulate information regarding service provision, sectoral needs, and vulnerabilities in Afghan communities, in order to then support geographical and sectoral prioritizations within the 2022 humanitarian response in Afghanistan, particularly in light of the rapidly evolving context in Afghanistan. The key-informant-based HSM methodology uses settlements as the unit of analysis, using a structured survey tool to interview key informants about the situation in their settlement. A sampling frame covering all 401 districts in Afghanistan was used, covering a minimum of 10% of total settlements in each district. To achieve geographical spread across each district, at least three key informant interviews (KIIs), in a number proportionate to the number of settlements, were conducted in each Basic Service Unit (BSU). To determine a BSU (defined as an economic/geographic service unit which relies on the same services, i.e. healthcare clinics and schools, and common public spaces, i.e. markets and roads), participatory mapping of settlements and services available was conducted prior to data collection. Any analysis conducted using the data in this file will generate statistically non-representative results, as the key informant methodology is indicative
Humanitarian Situation Monitoring aims to collect and then triangulate information regarding service provision, sectoral needs, and vulnerabilities in Afghan communities, in order to then support geographical and sectoral prioritizations within the humanitarian response in Afghanistan, particularly in light of the rapidly evolving context in Afghanistan. The key-informant-based HSM methodology uses settlements as the unit of analysis, using a structured survey tool to interview key informants about the situation in their settlement. A sampling frame covering all 401 districts in Afghanistan was used, covering a minimum of 10% of total settlements in each district. To achieve geographical spread across each district, at least three key informant interviews (KIIs), in a number proportionate to the number of settlements, were conducted in each Basic Service Unit (BSU). To determine a BSU (defined as an economic/geographic service unit which relies on the same services, i.e. healthcare clinics and schools, and common public spaces, i.e. markets and roads), participatory mapping of settlements and services available was conducted prior to data collection. Any analysis conducted using the data in this file will generate statistically non-representative results, as the key informant methodology is indicative.
The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. This dataset includes a list of humanitarian organizations operating in Ethiopia at Admin 3.
ADAM ID: eq_us7000lsze Magnitude 7.0 earthquake at 27.366 depth occurred on Jan 22 2024 in 70km W of Wushi. It impacted 24706 people. The epicentre was at latitude 41.2938 longitude 78.5937.