Created on Mon Jun 1 21:54:13 2026
## New names:
## • `Total Number of deaths` -> `Total Number of deaths...3`
## • `Total number of people affected` -> `Total number of people affected...4`
## • `Total Number of deaths` -> `Total Number of deaths...6`
## • `Total number of people affected` -> `Total number of people affected...7`
## [1] "code"
## [2] "countryc1"
## [3] "Total renewable water resources per capita"
## [4] "Interannual variability"
## [5] "Water Independence"
| Total (N=186) |
|
|---|---|
| Total renewable water resources per capita | |
| Mean (SD) | 16900 (45500) |
| Median [Min, Max] | 3450 [0, 447000] |
| Interannual variability | |
| Mean (SD) | 1.77 (0.893) |
| Median [Min, Max] | 1.50 [0.600, 4.90] |
| Water Independence | |
| Mean (SD) | 35.6 (30.7) |
| Median [Min, Max] | 29.8 [0.300, 100] |
## code countryc1
## Length:186 Length:186
## Class :character Class :character
## Mode :character Mode :character
##
##
##
##
## Total renewable water resources per capita Interannual variability
## Min. : 0 Min. :0.600
## 1st Qu.: 1283 1st Qu.:1.100
## Median : 3447 Median :1.500
## Mean : 16910 Mean :1.771
## 3rd Qu.: 14416 3rd Qu.:2.400
## Max. :446950 Max. :4.900
## NA's :1 NA's :25
## Water Independence
## Min. : 0.30
## 1st Qu.: 7.30
## Median : 29.80
## Mean : 35.61
## 3rd Qu.: 60.90
## Max. :100.00
## NA's :63
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## code countryc2
## Length:186 Length:186
## Class :character Class :character
## Mode :character Mode :character
##
##
##
##
## Proportion of water bodies with good ambient water quality
## Min. : 4.50
## 1st Qu.: 50.00
## Median : 69.61
## Mean : 64.10
## 3rd Qu.: 83.80
## Max. :100.00
## NA's :68
## code countryc3
## Length:186 Length:186
## Class :character Class :character
## Mode :character Mode :character
## Proportion of HH using safely managed drinking water services
## Length:186
## Class :character
## Mode :character
## Proportion using Basic drinking water services
## Length:186
## Class :character
## Mode :character
## code countryc4
## Length:186 Length:186
## Class :character Class :character
## Mode :character Mode :character
##
##
##
##
## Proportion using safely managed sanitation services
## Min. : 0.00
## 1st Qu.:27.75
## Median :56.50
## Mean :56.10
## 3rd Qu.:84.25
## Max. :99.00
## NA's :62
## Proportion having Basic sanitation access
## Min. :10.00
## 1st Qu.:63.75
## Median :92.00
## Mean :78.66
## 3rd Qu.:99.00
## Max. :99.50
## NA's :2
## Proportion having basic hygiene access
## Min. : 0.00
## 1st Qu.:23.50
## Median :58.00
## Mean :55.64
## 3rd Qu.:86.00
## Max. :99.00
## NA's :91
## code countryc6
## Length:186 Length:186
## Class :character Class :character
## Mode :character Mode :character
##
##
##
##
## % Change in extent of water-related ecosystems over time
## Min. :-58.052
## 1st Qu.: 1.439
## Median : 9.302
## Mean : 16.236
## 3rd Qu.: 17.602
## Max. :299.552
## NA's :6
## code countryc7 Water use efficiency
## Length:186 Length:186 Min. : 0.60
## Class :character Class :character 1st Qu.: 6.95
## Mode :character Mode :character Median : 14.65
## Mean : 50.66
## 3rd Qu.: 50.12
## Max. :1362.00
## NA's :18
## code countryc8 Degree of IWRM Implementation
## Length:186 Length:186 Min. : 12.00
## Class :character Class :character 1st Qu.: 40.00
## Mode :character Mode :character Median : 55.50
## Mean : 56.70
## 3rd Qu.: 70.25
## Max. :100.00
## NA's :2
## WGI_Voice & Accountability WGI_\r\nGovernment Effectiveness
## Min. :16.77 Min. : 9.09
## 1st Qu.:38.64 1st Qu.:37.37
## Median :54.63 Median :49.45
## Mean :53.53 Mean :51.06
## 3rd Qu.:65.81 3rd Qu.:63.44
## Max. :90.62 Max. :95.67
## NA's :1 NA's :1
## WGI_Political Stability WGI_Regulatory Quality WGI_Rule of Law
## Min. :18.91 Min. :22.76 Min. :19.01
## 1st Qu.:54.22 1st Qu.:42.90 1st Qu.:40.69
## Median :64.71 Median :52.64 Median :52.64
## Mean :63.35 Mean :53.49 Mean :54.25
## 3rd Qu.:76.12 3rd Qu.:62.62 3rd Qu.:66.89
## Max. :91.51 Max. :88.49 Max. :91.75
## NA's :1 NA's :1 NA's :1
## WGI_Control of Corruption
## Min. : 6.06
## 1st Qu.:28.89
## Median :41.90
## Mean :45.55
## 3rd Qu.:60.52
## Max. :94.16
## NA's :1
## code countryc9 Total Number of deaths...3
## Length:186 Length:186 Min. : 0.0
## Class :character Class :character 1st Qu.: 4.0
## Mode :character Mode :character Median : 18.5
## Mean : 284.3
## 3rd Qu.: 138.0
## Max. :8073.0
## NA's :42
## Total number of people affected...4 Flood frequency
## Min. : 0 Min. : 1.000
## 1st Qu.: 19223 1st Qu.: 2.000
## Median : 204880 Median : 5.000
## Mean : 3620305 Mean : 7.819
## 3rd Qu.: 2390508 3rd Qu.: 9.000
## Max. :42149278 Max. :84.000
## NA's :42 NA's :42
## Total Number of deaths...6 Total number of people affected...7
## Min. : 10.0 Min. : 10300
## 1st Qu.: 241.0 1st Qu.: 653787
## Median : 472.0 Median : 2185846
## Mean : 982.3 Mean : 5876288
## 3rd Qu.:1468.5 3rd Qu.: 8020173
## Max. :2465.0 Max. :30900000
## NA's :183 NA's :142
## Drought frequency
## Min. :1.000
## 1st Qu.:1.000
## Median :1.000
## Mean :1.417
## 3rd Qu.:1.250
## Max. :5.000
## NA's :138
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## code countryc10 Water Resource Vulnerability Index
## Length:186 Length:186 Min. :0.00000
## Class :character Class :character 1st Qu.:0.06725
## Mode :character Mode :character Median :0.13800
## Mean :0.15947
## 3rd Qu.:0.21725
## Max. :0.57200
## NA's :26
## GDP per Capita Future Climate Change Projections
## Min. : 219.4 Min. :0.000
## 1st Qu.: 2466.7 1st Qu.:2.325
## Median : 7122.8 Median :3.600
## Mean : 17523.8 Mean :3.819
## 3rd Qu.: 23920.0 3rd Qu.:5.000
## Max. :137781.7 Max. :8.800
## NA's :2
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## [1] "code"
## [2] "countryc1"
## [3] "Total renewable water resources per capita"
## [4] "Interannual variability"
## [5] "Water Independence"
## [6] "countryc2"
## [7] "Proportion of water bodies with good ambient water quality"