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. People in Need 2024: The Excel files contains people in Need and people targeted for 2024 disaggregated by sex and age group per cluster and Admin 2 level. The data was approved for use by the Humanitarian Country Team, and it’s based on the Humanitarian Program Cycle 2024 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. 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.

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.

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.

Tajikistan administrative level 0-1 sex and age disaggregated 2019 projected population statistics. See caveat.

1) The dataset is produced by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners. It presents the number of people in need (PiN), the severity of those needs, the activities of the planned response, and the number of people to be targeted for humanitarian assistance in Ukraine as explained the 2024 Humanitarian Needs and Response Plan (HNRP). 2) The interpretation and use of this data should be guided by the 2024 Ukraine Humanitarian Needs and Response Plan. 3) The data sources and methodology for the derivation of the PIN and severity is explained in Annex 4.2 of the Ukraine 2024 HNRP, "Analysis Methodology & Data Sources", which also includes the description and sources of the baseline population estimates.

Nigeria administrative level 0-2 and Senatorial District sex and age disaggregated 2020 population statistics projected from 2006 Census. REFERENCE YEAR: 2020 Dataset updated 2021. These tables are suitable for database or GIS linkage to the Nigeria - Subnational Administrative Boundaries administrative level 0 to 2 and senatorial district shapefiles See caveat.

This dataset contains the people in need by department, commune and sector. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.

Zimbabwe administrative level 0-2 sex and age disaggregated 2023 projected population statistics REFERENCE YEAR: 2023 These CSV tables are suitable for linkage by P-code to the Zimbabwe - Subnational Administrative Boundaries shapefiles using the ADM0, ADM1, and ADM2_PCODE fields.

Chad administrative level 0-2 2022 projected sex and age disaggregated population statistics REFERENCE YEAR: 2022 Dataset updated 2022. These table are suitable for database or GIS linkage to the Chad - Subnational Administrative Boundaries.

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.

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.

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.

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.

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.

These datasets were compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of partners. It provides a 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.

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.

Situation des personnes déplacées internes au Burkina Faso.

Philippines: Household Population 5 Years Old and Over by Functional Difficulty, Severity, Age Group, Sex, and City/Municipality Census 2020

Données des rapatriés depuis 2017 à Aout 2022 par Province et Commune, désagrégées par âge et par sexe.

Cet ensemble de données présente les besoins humanitaires les plus urgents et le nombre estimé de personnes ayant besoin d'assistance au Burundi.

Azerbaijan administrative level 0-2 sex and age disaggregated 2018 projected population statistics. REFERENCE YEAR 2018 This dataset contains population estimates for Azerbaijan from 2018 at country-level and first administrative level (consolidating Baku into one feature), suitable for database and GIS linkage to the Azerbaijan - Subnational Administrative Boundaries and the Azerbaijan - Subnational Edge-matched Administrative Boundaries, and special tables for economic regions and a version of the first administrative level that includes 11 distinct Baku features.

The dataset contains households and individual number of returnees at village level. The dataset is gender and age dis-aggregated with category of returnees i.e. IDPs or Refugees.

The datasets provide an overview of key thematic areas covered by the Ulaanbaatar city-wide rapid assessment on population, migration and needs from June to August 2022. The datasets explore eight primary themes across Ulaanbaatar, namely, population baseline figures, registration, internal arrivals and departures (migration), employment, financial situation, mobility-related challenges, and services and infrastructure. Data are collected through key informant interviews with kheseg leaders , who are well-informed about their communities, resources and local context.

South Sudan administrative level 0-2 2023 population estimates. SEE CAVEATS REFERENCE YEAR: 2023 Waiting for inputs REFERENCE YEAR: 2022 Dataset updated by OCHA 2020. This population statistics Common Operational Database (COD-PS) was endorsed the Government and South Sudan National Bureau of Statistics in November 2020. These tables are suitable for database or GIS link to the South Sudan - Subnational Administrative Boundaries.