  Although high-resolution gridded climate variables are provided by multiple
sources, the need for country and region-specific climate data weighted by
indicators of economic activity is becoming increasingly common in
environmental and economic research. We process available information from
different climate data sources to provide spatially aggregated data with global
coverage for both countries (GADM0 resolution) and regions (GADM1 resolution)
and for a variety of climate indicators (average precipitations, average
temperatures, average SPEI). We weigh gridded climate data by population
density or by night light intensity -- both proxies of economic activity --
before aggregation. Climate variables are measured daily, monthly, and
annually, covering (depending on the data source) a time window from 1900 (at
the earliest) to 2023. We pipeline all the preprocessing procedures in a
unified framework, which we share in the open-access Weighted Climate Data
Repository web app. Finally, we validate our data through a systematic
comparison with those employed in leading climate impact studies.
