Lebanon

Education indicators for Lebanon. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2025 February), Other Policy Relevant Indicators (made 2025 February), Demographic and Socio-economic (made 2025 February)

This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to gather the figures relevant to Humanitarian Health response at global levels. The information is collected from the last available data from publicly validated sources. See detailed info below. The data is mainly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact GHCU-IMU at healthcluster@who.int. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement. The compilation is expected to be updated. Not all the fields are available in the reviewed documents, and it is expected to be complemented.

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

Constrained estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Lebanon, version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.  More information can be found in the Release Statement The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained File Descriptions: {iso} {gender} {age group} {year} {type} {resolution}.tif iso Three-letter country code gender m = male, f= female, t = both genders age group 00 = age group 0 to 12 months 01 = age group 1 to 4 years 05 = age group 5 to 9 years 90 = age 90 years and over year Year that the population represents type CN = Constrained , UC= Unconstrained resolution Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

The MPM (Migrant Presence Monitoring) baseline assessment is designed to systematically assess, through a series of MPM Rounds, cadastres (Admin 3 areas) in Lebanon to quantify the presence of migrants per this administrative area to support operational assistance, coordination, and planning. The data collection is based on estimations received from Key Informants (KI) who are mostly composed of Mukhtars, local authorities of these areas, and Municipality officials. The MPM relies on KIs to provide reliable information for a specific and known area. For data collection, the administrative area of a cadastre was chosen as it is the smallest administrative unit with dedicated administrative officers, and the areas are small enough to ensure that information collected on the area are reliable. As a result of the situation and arrangements of migrant populations, repeated rounds will strengthen the data collected and resultant baseline. The MPM (Migrant Presence Monitoring) baseline assessment follows the methodology of IOM’s global Displacement Tracking Matrix (DTM) Mobility Tracking component. Tailored to meet the specific operational context in Lebanon, the MPM baseline assessment gathers and analyzes data to disseminate critical multi-layered information on the presence and mobility of migrants as well as Lebanese nationals. This assessment aims to complement existing data collection exercises and it is implemented in coordination with key actors to maximize synergies, interoperability and avoid duplication