Edition 2023
Riverine Flood Risk (Aqueduct) 2023
Published 2023 · describes 2019 · stored as published, never rewritten
Riverine Flood Risk (Aqueduct) 2023 covers 164 countries. Somalia is highest, at 5.0000; 2 countries share the lowest reading, 0.0000. The middle country reads 2.4031.
Riverine Flood Risk (Aqueduct) · Edition 2023
HighestSomalia
5.0000Lowest2 countries share it
0.0000Shaded by value in five groups of equal size, darkest at the lowest end. A higher value is the worse result.
01WRI’s rank
The table
Every country and every column of Riverine Flood Risk (Aqueduct) 2023, as published. The rank is WRI’s own, as printed. “=” marks a shared position.
Showing 25 of 164 countries · select a heading to sort
| 1 | 5.0000 | Extremely High (more than 1 in 100) | |
| 2 | 4.8411 | Extremely High (more than 1 in 100) | |
| 3 | 4.7939 | Extremely High (more than 1 in 100) | |
| 4 | 4.6430 | Extremely High (more than 1 in 100) | |
| 5 | 4.4614 | Extremely High (more than 1 in 100) | |
| 6 | 4.4021 | Extremely High (more than 1 in 100) | |
| 7 | 4.3535 | Extremely High (more than 1 in 100) | |
| 8 | 4.3091 | Extremely High (more than 1 in 100) | |
| 9 | 4.2689 | Extremely High (more than 1 in 100) | |
| 10 | 4.2123 | Extremely High (more than 1 in 100) | |
| 11 | 4.1859 | Extremely High (more than 1 in 100) | |
| 12 | 4.1855 | Extremely High (more than 1 in 100) | |
| 13 | 4.1847 | Extremely High (more than 1 in 100) | |
| 14 | 4.1578 | Extremely High (more than 1 in 100) | |
| 15 | 4.1272 | Extremely High (more than 1 in 100) | |
| 16 | 4.1175 | Extremely High (more than 1 in 100) | |
| 17 | 4.1146 | Extremely High (more than 1 in 100) | |
| 18 | 4.0999 | Extremely High (more than 1 in 100) | |
| 19 | 4.0588 | Extremely High (more than 1 in 100) | |
| 20 | 4.0581 | Extremely High (more than 1 in 100) | |
| 21 | 4.0568 | Extremely High (more than 1 in 100) | |
| 22 | 4.0544 | Extremely High (more than 1 in 100) | |
| 23 | 4.0504 | Extremely High (more than 1 in 100) | |
| 24 | 4.0495 | Extremely High (more than 1 in 100) | |
| 25 | 4.0468 | Extremely High (more than 1 in 100) | |
| 26 | 4.0446 | Extremely High (more than 1 in 100) | |
| 27 | 4.0432 | Extremely High (more than 1 in 100) | |
| 28 | 4.0314 | Extremely High (more than 1 in 100) | |
| 29 | 4.0195 | Extremely High (more than 1 in 100) | |
| 30 | 4.0183 | Extremely High (more than 1 in 100) | |
| 31 | 4.0165 | Extremely High (more than 1 in 100) | |
| 32 | 4.0039 | Extremely High (more than 1 in 100) | |
| 33 | 3.9824 | High (8 in 1,000 to 1 in 100) | |
| 34 | 3.9317 | High (8 in 1,000 to 1 in 100) | |
| 35 | 3.8927 | High (8 in 1,000 to 1 in 100) | |
| 36 | 3.8175 | High (8 in 1,000 to 1 in 100) | |
| 37 | 3.8104 | High (8 in 1,000 to 1 in 100) | |
| 38 | 3.7824 | High (8 in 1,000 to 1 in 100) | |
| 39 | 3.6796 | High (8 in 1,000 to 1 in 100) | |
| 40 | 3.6626 | High (8 in 1,000 to 1 in 100) | |
| 41 | 3.6599 | High (8 in 1,000 to 1 in 100) | |
| 42 | 3.5875 | High (8 in 1,000 to 1 in 100) | |
| 43 | 3.5266 | High (8 in 1,000 to 1 in 100) | |
| 44 | 3.5127 | High (8 in 1,000 to 1 in 100) | |
| 45 | 3.4124 | High (8 in 1,000 to 1 in 100) | |
| 46 | 3.4003 | High (8 in 1,000 to 1 in 100) | |
| 47 | 3.3854 | High (8 in 1,000 to 1 in 100) | |
| 48 | 3.2707 | High (8 in 1,000 to 1 in 100) | |
| 49 | 3.2660 | High (8 in 1,000 to 1 in 100) | |
| 50 | 3.2611 | High (8 in 1,000 to 1 in 100) | |
| 51 | 3.2145 | High (8 in 1,000 to 1 in 100) | |
| 52 | 3.1902 | High (8 in 1,000 to 1 in 100) | |
| 53 | 3.1585 | High (8 in 1,000 to 1 in 100) | |
| 54 | 3.1417 | High (8 in 1,000 to 1 in 100) | |
| 55 | 3.1339 | High (8 in 1,000 to 1 in 100) | |
| 56 | 3.1292 | High (8 in 1,000 to 1 in 100) | |
| 57 | 3.1078 | High (8 in 1,000 to 1 in 100) | |
| 58 | 3.1052 | High (8 in 1,000 to 1 in 100) | |
| 59 | 3.0999 | High (8 in 1,000 to 1 in 100) | |
| 60 | 3.0848 | High (8 in 1,000 to 1 in 100) | |
| 61 | 3.0627 | High (8 in 1,000 to 1 in 100) | |
| 62 | 3.0380 | High (8 in 1,000 to 1 in 100) | |
| 63 | 3.0271 | High (8 in 1,000 to 1 in 100) | |
| 64 | 3.0099 | High (8 in 1,000 to 1 in 100) | |
| 65 | 3.0085 | High (8 in 1,000 to 1 in 100) | |
| 66 | 3.0005 | High (8 in 1,000 to 1 in 100) | |
| 67 | 2.9958 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 68 | 2.9512 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 69 | 2.9290 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 70 | 2.8577 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 71 | 2.8508 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 72 | 2.8178 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 73 | 2.7768 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 74 | 2.7731 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 75 | 2.7169 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 76 | 2.6664 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 77 | 2.6380 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 78 | 2.6300 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 79 | 2.6038 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 80 | 2.5472 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 81 | 2.4999 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 82 | 2.4049 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 83 | 2.4012 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 84 | 2.3457 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 85 | 2.3434 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 86 | 2.3419 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 87 | 2.3320 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 88 | 2.2925 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 89 | 2.2785 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 90 | 2.2452 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 91 | 2.2399 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 92 | 2.1475 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 93 | 2.1411 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 94 | 2.1063 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 95 | 2.0946 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 96 | 2.0930 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 97 | 2.0904 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 98 | 2.0750 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 99 | 2.0528 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 100 | 2.0489 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 101 | 2.0095 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 102 | 2.0059 | Medium - High (4 in 1,000 to 8 in 1,000) | |
| 103 | 1.9980 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 104 | 1.9879 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 105 | 1.9318 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 106 | 1.8408 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 107 | 1.8003 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 108 | 1.7118 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 109 | 1.6284 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 110 | 1.6249 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 111 | 1.6228 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 112 | 1.6009 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 113 | 1.5903 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 114 | 1.5896 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 115 | 1.4596 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 116 | 1.4481 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 117 | 1.4429 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 118 | 1.4178 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 119 | 1.3956 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 120 | 1.3919 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 121 | 1.3657 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 122 | 1.3487 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 123 | 1.3233 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 124 | 1.3221 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 125 | 1.3202 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 126 | 1.2050 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 127 | 1.1752 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 128 | 1.1535 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 129 | 1.1219 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 130 | 1.1048 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 131 | 1.1046 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 132 | 1.0944 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 133 | 1.0406 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 134 | 1.0169 | Low - Medium (2 in 1,000 to 4 in 1,000) | |
| 135 | 0.9831 | Low (0 to 2 in 1,000) | |
| 136 | 0.9599 | Low (0 to 2 in 1,000) | |
| 137 | 0.9412 | Low (0 to 2 in 1,000) | |
| 138 | 0.8994 | Low (0 to 2 in 1,000) | |
| 139 | 0.8614 | Low (0 to 2 in 1,000) | |
| 140 | 0.8514 | Low (0 to 2 in 1,000) | |
| 141 | 0.8340 | Low (0 to 2 in 1,000) | |
| 142 | 0.8317 | Low (0 to 2 in 1,000) | |
| 143 | 0.8289 | Low (0 to 2 in 1,000) | |
| 144 | 0.8187 | Low (0 to 2 in 1,000) | |
| 145 | 0.8166 | Low (0 to 2 in 1,000) | |
| 146 | 0.8113 | Low (0 to 2 in 1,000) | |
| 147 | 0.7914 | Low (0 to 2 in 1,000) | |
| 148 | 0.7291 | Low (0 to 2 in 1,000) | |
| 149 | 0.7246 | Low (0 to 2 in 1,000) | |
| 150 | 0.5991 | Low (0 to 2 in 1,000) | |
| 151 | 0.5653 | Low (0 to 2 in 1,000) | |
| 152 | 0.5452 | Low (0 to 2 in 1,000) | |
| 153 | 0.5264 | Low (0 to 2 in 1,000) | |
| 154 | 0.5207 | Low (0 to 2 in 1,000) | |
| 155 | 0.4273 | Low (0 to 2 in 1,000) | |
| 156 | 0.4084 | Low (0 to 2 in 1,000) | |
| 157 | 0.3895 | Low (0 to 2 in 1,000) | |
| 158 | 0.3351 | Low (0 to 2 in 1,000) | |
| 159 | 0.2875 | Low (0 to 2 in 1,000) | |
| 160 | 0.1770 | Low (0 to 2 in 1,000) | |
| 161 | 0.1567 | Low (0 to 2 in 1,000) | |
| 162 | 0.0903 | Low (0 to 2 in 1,000) | |
| =163 | 0.0000 | Low (0 to 2 in 1,000) | |
| =163 | 0.0000 | Low (0 to 2 in 1,000) |
02In 2019
At either end
The 5 countries at each end of the headline.
Highest
- #1
Somalia5.0000
- #2
Mauritania4.8411
- #3
Liberia4.7939
- #4
Bangladesh4.6430
- #5
Cambodia4.4614
Lowest
- #163
San Marinoshared0.0000
- #163
Andorrashared0.0000
- #162
Israel0.0903
- #161
Netherlands0.1567
- #160
Bahrain0.1770
A higher value is the worse result. The middle country reads 2.4031. “Shared” marks a value another country also holds.
03Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
This edition describes 2019
WRI names each edition for the year it is released; the figures in Riverine Flood Risk (Aqueduct) 2023 are for 2019.
163 distinct values among 164
Values are stored exactly as published, to 9 decimals. 2 countries share 0.0000. Countries sharing a value share a position too.
The rank is WRI’s
Printed exactly as the publisher ranked the countries. This site does not re-rank them.
Which end is better
A higher value is the worse result.
Nothing missing
Every one of the 164 countries has every column.
04The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
164 rows · 12 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download river-flood-risk-2023-nations-inquiry.csv - ↗
The publisher’s original
WRI’s own file, on its own site.
aqueduct-4-0-country-rankings.zip
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY (Creative Commons Attribution). Share, adapt and use commercially. Credit the publisher and say if you changed anything.
Cite this edition
World Resources Institute (WRI) (2023). Riverine Flood Risk (Aqueduct) 2023 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/river-flood-risk/2023
051 held
Other editions
‹ The edition before
This is the first edition held here.
The edition after ›
This is the newest edition. A newer one will get its own page at its own address; this one is never rewritten.
All of them
Riverine Flood Risk (Aqueduct): every edition1 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
06Questions
Riverine Flood Risk (Aqueduct) 2023: questions and answers
Which country has the highest river flood risk in Riverine Flood Risk (Aqueduct) 2023?
Somalia, at 5.0000, of the 164 countries in the file.
What year does Riverine Flood Risk (Aqueduct) 2023 describe?
2019.
How many countries does Riverine Flood Risk (Aqueduct) 2023 cover?
164.
Where can I download Riverine Flood Risk (Aqueduct) 2023?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Riverine Flood Risk (Aqueduct) 2023 the newest?
Yes, as of 2026-09-29, when it was read from the publisher.