Updated
18 May 2022
| Dataset date: January 01, 2018-December 31, 2022
This dataset updates: Every year
This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
Intersectoral People in Need 2022:
For the 2022 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2022 in the below link.
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf
Cluster People in Need 2022:
The data file contains people in need for 2022 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2022 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link:
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf
Yemen Population estimates for 2022:
The data contains population estimates for 2022. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2022. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.
Intersectoral People in Need 2021:
For the 2021 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2021 in the below link.
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf
Cluster People in Need 2021:
The data file contains people in need for 2021 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2021 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link:
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf
Yemen Population estimates for 2021:
The data contains population estimates for 2021. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2021. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.
Updated
15 May 2022
| Dataset date: January 01, 2022-May 04, 2022
This dataset updates: As needed
1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
Updated
26 April 2022
| Dataset date: December 31, 2020-December 31, 2022
This dataset updates: Every year
This dataset contains the people in need per oblast and planning figures per cluster. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
Updated
18 April 2022
| Dataset date: January 01, 2017-December 31, 2021
This dataset updates: As needed
Esta base de datos, extraída del portal de datos abiertos de la Unidad para la Atención Integral y Reparación a las Víctimas, contiene el número de víctimas por hechos del conflicto armado en Colombia entre 2017-2021 desagregado por hecho victimizante, departamento de ocurrencia, sexo, etnia y condición de discapacidad
Updated
17 February 2022
| Dataset date: January 01, 2018-December 31, 2022
This dataset updates: Every year
This dataset contains the people in need by sector and region. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
Updated
13 February 2022
| Dataset date: January 01, 2021-August 30, 2021
This dataset updates: As needed
1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
Updated
31 December 2021
| Dataset date: March 24, 2021-May 23, 2022
This dataset updates: Every year
Iraq severity of humanitarian conditions by districts.
The severity score provides a rating from 1 (low severity of humanitarian need) to 5 (high severity of humanitarian need).
Updated
28 December 2021
| Dataset date: January 01, 2019-December 31, 2022
This dataset updates: Every year
Ce jeu de données porte sur la sévérité des besoins dans plusieurs secteurs dont la santé, l'éducation, la nutrition, la sécurité alimentaire et la protection.
Updated
21 December 2021
| Dataset date: January 01, 2018-December 31, 2022
This dataset updates: Every year
This dataset contains the people in need by sector and mantika. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
Updated
16 December 2021
| Dataset date: January 01, 2020-December 31, 2021
This dataset updates: Every year
This file contains the severity of needs analysis prepared for the humanitarian needs overview. The severity score indicates how compounded the humanitarian needs in a woreda are. The higher the severity score of a woreda, the more severe, time-critical and compounded the needs are.
Updated
23 November 2021
| Dataset date: January 01, 2018-December 31, 2022
This dataset updates: Every year
Data provides the Humanitarian Country team's shared understanding of the crisis, including the most pressing humanitarian needs, and reflects its joint humanitarian response planning
Updated
5 November 2021
| Dataset date: January 01, 2021-December 31, 2021
This dataset updates: Every year
This dataset is made for planning purposes. It contains the 2021 number of people potentially at risk of hazards (floods, disease outbreaks and conflict) in Sudan.
Updated
29 June 2021
| Dataset date: January 01, 2015-December 31, 2021
This dataset updates: Every year
This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.
