DBnomics, the world's economic database

[ID_WATE_02] projected change of annual groundwater recharge

Updated on DBnomics on July 1, 2023 (5:37 AM).

Search filters
Frequency [frequency] (1)
Country [country] (192)
Measure [measure] (4)

This dataset has 768 series:

Series code 199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021
[A.ARG.input] 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026
[A.ARG.raw] 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 NA NA NA NA NA NA
[A.ARG.raw_0] 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 0.751389026 NA NA NA NA NA NA
[A.ARG.score] 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974 0.248610974
[A.ARM.input] 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056
[A.ARM.raw] 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 NA NA NA NA NA NA
[A.ARM.raw_0] 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 0.769289056 NA NA NA NA NA NA
[A.ARM.score] 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944 0.230710944
[A.ATG.input] 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768
[A.ATG.raw] 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 0.806919768 NA NA NA NA NA NA