Data Update Notice This version is not recommended for download. Please check the newest version. Introduction Continuously monitoring global population spatial dynamics is essential for implementing effective policies related to sustainable development, such as epidemiology, urban planning, and global inequality. Here, we present GlobPOP, a new continuous global gridded population product with a high-precision spatial resolution of 30 arcseconds from 1990 to 2020. Our data-fusion framework is based on cluster analysis and statistical learning approaches, which intends to fuse the existing five products(Global Human Settlements Layer Population (GHS-POP), Global Rural Urban Mapping Project (GRUMP), Global Grid Population version 4 (GPWv4), LandScan Population dataset and WorldPop dataset)to a new continuous global gridded population (GlobPOP). The spatial validation results demonstrate that the GlobPOP dataset is highly accurate. With the availability of GlobPOP dataset in both population count and population density formats, researchers and policymakers can leverage our dataset to conduct time-series analysis of population and explore the spatial patterns of population development at various scales, ranging from national to city level. The product is produced in 30 arc-seconds resolution(approximately 1km in equator) and is made available in GeoTIFF format. There are two population formats, one is the 'Count'(Population count per grid) and another is the 'Density'(Population count per square kilometer each grid) Each GeoTIFF filename has 5 fields that are separated by an underscore "_". A filename extension follows these fields. The fields are described below with the example filename: GlobPOP_Count_30arc_1990_I32 Field 1: GlobPOP(Global gridded population)Field 2: Pixel unit is population "Count" or population "Density"Field 3: Spatial resolution is 30 arc secondsField 4: Year "1990"Field 5: Data type is I32(Int 32) or F32(Float32)

This research was supported by the Special Project of Science and Technology Basic Resources Survey, Ministry of Science and Technology of China (2019FY202502).