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IIn this tutorial, you will learn how to download population data for any country using the WorldPop website. Explore global population datasets from 2000 to 2020, available at high resolutions of 100m and 1km. The data can be downloaded in GeoTIFF and ASCII XYZ formats, with a Geographic Coordinate System (WGS84) projection. Population Count estimated total number of people per grid-cell. Estimated population density per grid-cell. WorldPop Hub: https://hub.worldpop.org/ About WorldPop: WorldPop develops peer-reviewed research and methods for the construction of open and high-resolution geospatial data on population distributions, demographic and dynamics, with a focus on low and middle income countries. Constrained Method and Unconstrained Method: 1. Constrained Method • Definition: Population estimates are restricted (constrained) to areas where human settlement is known to exist, based on ancillary data like building footprints, nightlights, or land cover. • Data Sources: Often uses satellite-derived settlement maps like: Facebook/Meta High-Resolution Settlement Layer (HRSL) Global Human Settlement Layer (GHSL) Copernicus-built area layers • Output: Only allocates population to pixels that are actually built-up or inhabited. Example: A 100 m x 100 m pixel in a dense forest or lake will show zero population if no settlements are detected there. 2. Unconstrained Method • Definition: Population is distributed across the entire land area of a country or region, even if it includes areas that are unlikely to be inhabited. • No masking of non-settlement areas. • More generalized, used when detailed settlement maps are not available. Example: That same forest pixel might receive some population estimate based on broader statistical modeling, even if no people live there in reality. 00:00 Introduction 00:20 Data search (WorldPop) 01:05 Population Count (Intro & About) 03:44 Constrained vs Unconstrained 06:01 Data download (Population Count) 07:21 Data download (Population Density) 09:21 Add data to QGIS 10:01 Data Visualization (Symbology) #populationdata #Worldpop #geospatialdata #demographicdata #rasterdata #populationcount #populationdensity #globalpopulationdata