Before the main content: I am creating an R Community on Google Groups. You can join the group using this form.ChangesRemoved the dplyr, tidyr, readr, tidyselect, tibble, rlang, and magrittr dependencies in favor of data.table (for row-binding and reshaping data) and base R.Removed the stringr and lubridate dependencies in favor of base R string and date handling.Functions now return data.table objects instead of tibbles.I added wb_country_coverage() to summarize the available data before downloading the series.I removed all the retired indicators and those that return empty tables from wb_cachelist.InstallationYou can install the latest release version from CRAN withinstall.packages("wbstats")which is the same as the latest development version from GitHub this as of 2026-08-28remotes::install_github("pachadotdev/wbstats")Downloading data from the World Banklibrary(wbstats)# Population for every country from 1960 until presentd # A tibble: 6 × 9#> iso2c iso3c country date SP.POP.TOTL unit obs_status footnote last_updated#> #> 1 AF AFG Afghanis… 2024 42647492 2025-07-01 #> 2 AF AFG Afghanis… 2023 41454761 2025-07-01 #> 3 AF AFG Afghanis… 2022 40578842 2025-07-01 #> 4 AF AFG Afghanis… 2021 40000412 2025-07-01 #> 5 AF AFG Afghanis… 2020 39068979 2025-07-01 #> 6 AF AFG Afghanis… 2019 37856121 2025-07-01The current World Bank API does not provide summaries of data availability. I added the wb_country_coverage() function to supply that, which reads pre-computed summaries from GitHub.d