Updated
18 May 2022
| Dataset date: May 18, 2022-May 24, 2022
This dataset updates: Every year
Colombia administrative level 0-2 projected 2022 sex and age disaggregated population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Colombia - Subnational Administrative Boundaries layers using the ADM0, ADM1, and ADM2_PCODE fields.
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
10 May 2022
| Dataset date: January 01, 2016-December 31, 2022
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
Updated
29 April 2022
| Dataset date: November 30, 2020-April 28, 2022
This dataset updates: Every month
Understanding gender is essential to understanding the risk factors of poor health, early death and health inequities. The COVID-19 outbreak is no different. At this point in the pandemic, we are unable to provide a clear answer to the question of the extent to which sex and gender are influencing the health outcomes of people diagnosed with COVID-19. However, experience and evidence thus far tell us that both sex and gender are important drivers of risk and response to infection and disease.
In order to understand the role gender is playing in the COVID-19 outbreak, countries urgently need to begin both collecting and publicly reporting sex-disaggregated data. At a minimum, this should include the number of cases and deaths in men and women.
In collaboration with CNN, Global Health 50/50 began compiling publicly available sex-disaggregated data reported by national governments to date and is exploring how gender may be driving the higher proportion of reported deaths in men among confirmed cases so far.
For more, please visit: http://globalhealth5050.org/covid19
Updated
28 April 2022
| Dataset date: January 01, 2016-December 31, 2022
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.
Updated
28 April 2022
| Dataset date: February 01, 2022-February 28, 2022
This dataset updates: Every three months
The increase of security incidents in northern Mozambique since 2017 resulted in population displacement as well as subsequent humanitarian needs in virtually every humanitarian sector. To better understand the scope of displacement and needs of displaced populations, and in light of the intensification of the situation, the International Organization for Migration (IOM) activated its Displacement Tracking Matrix (DTM) in the Cabo Delgado province in February 2019.
Updated
26 April 2022
| Dataset date: January 01, 2022-December 31, 2022
This dataset updates: Every year
This dataset presents key outputs and a step-by-step implementation of the Joint Intersectoral Analysis Framework(JIAF) approach in Burundi as well as the number of people in need ( PIN ) disaggregated by gender, age, population groups and geographical area. JIAF is a methodologically new approach to analysing the multiple needs of populations in crisis, their magnitude and severity.
Updated
13 April 2022
| Dataset date: January 31, 2016-February 18, 2022
This dataset updates: Every three months
The dataset contains IDPs individual and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation.
The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs.
Updated
4 March 2022
| Dataset date: December 15, 2021-January 27, 2022
This dataset updates: Every six months
This Data is about IDP, returnees from CAR (previous IDP) and returnees from other countries repartition by origin and period of displacement and between 2013 and the date of assessment.
Evaluation has been run in 6 prefectures (admin1), 16 sub-prefectures (admin2) and 367 localities.
Updated
3 March 2022
| Dataset date: January 05, 2022-May 24, 2022
This dataset updates: Every year
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.
Updated
12 January 2022
| Dataset date: January 05, 2022-May 24, 2022
This dataset updates: Every year
South Sudan administrative level 0-2 2022 population estimates.
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.
Updated
30 December 2021
| Dataset date: August 31, 2021-August 31, 2021
This data is by request only
This dataset contains information on the total population in the Syrian Arab Republic, disaggregated by sex and age, as well as administrate levels 1 through 4.
Updated
29 December 2021
| Dataset date: September 30, 2021-May 24, 2022
This dataset updates: Every year
Niger administrative level 0-3 sex disaggregated 2022 population statistics
These CSV tables are suitable for database or GIS linkage to the Niger administrative level 0, 1, 2, and 3 boundary polygons.
Updated
27 December 2021
| Dataset date: August 21, 2017-September 16, 2021
This dataset updates: Every three months
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
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.
