This dataset contains processed country- and global-level data used to quantify conventional food self-sufficiency, agricultural input self-sufficiency, and input-adjusted food self-sufficiency from 1990 to 2022.

resilience_trend.xlsx
Country-level annual estimates of conventional food self-sufficiency, input self-sufficiency across four agricultural input dimensions—fertilizer, energy, pesticide, and seed—and input-adjusted food self-sufficiency from 1990 to 2022. This file supports country-specific time-series analyses and comparisons between conventional and input-adjusted self-sufficiency.

global_resilience_trend.xlsx
Global annual trends in conventional and input-adjusted food self-sufficiency. Country-level values are aggregated using national food consumption weights to represent global trajectories over time.

ave_resilience_2018_2022.xlsx
Country-level five-year average estimates for 2018–2022. This file supports recent-period mapping and country classification under conventional and input-adjusted self-sufficiency metrics.

country_level_logshares.csv
Country-level decomposition results showing the relative contributions of food and agricultural inputs to the input-adjusted food self-sufficiency gap. Input dimensions include fertilizer, energy, pesticide, and seed self-sufficiency.

global_level_logshares_1990_2022.csv
Global annual decomposition results from 1990 to 2022, summarizing the relative contributions of food and agricultural inputs to the global input-adjusted self-sufficiency gap over time.

 

These files contain processed data used for figure generation and statistical summaries. White or missing values in the corresponding maps and analyses indicate countries or years without sufficient data coverage.