Access to Safe Drinking Water 2005
Access to safe drinking water measures the percentage of a population with reliable, clean water sources.
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Complete Data Rankings
Rank | Actions | ||
|---|---|---|---|
1 |  Gibraltar | 100 % | |
2 |  Kuwait | 100 % | |
3 |  Liechtenstein | 100 % | |
4 |  Malta | 100 % | |
5 |  Monaco | 100 % | |
6 |  San Marino | 100 % | |
7 |  Singapore | 100 % | |
8 |  United Kingdom | 99.994 % | |
9 |  Netherlands | 99.989 % | |
10 |  China, Macao SAR | 99.978 % | |
11 |  Germany | 99.856 % | |
12 |  Luxembourg | 99.827 % | |
13 |  Belgium | 99.754 % | |
14 |  Israel | 99.71 % | |
15 |  Norway | 99.594 % | |
16 |  Greece | 99.591 % | |
17 |  Spain | 99.5 % | |
18 |  Sweden | 99.462 % | |
19 |  Guam | 99.27 % | |
20 |  Saint Barthélemy | 99.251 % | |
21 |  Martinique | 99.196 % | |
22 |  Canada | 98.944 % | |
23 |  Bahrain | 98.866 % | |
24 |  China, Hong Kong SAR | 98.797 % | |
25 |  Niue | 98.302 % | |
26 |  United Arab Emirates | 98.293 % | |
27 |  Japan | 97.914 % | |
28 |  United States Virgin Islands | 97.729 % | |
29 |  Austria | 97.636 % | |
30 |  France | 97.588 % | |
31 |  Guadeloupe | 97.502 % | |
32 |  Réunion | 97.318 % | |
33 |  South Korea | 97.23 % | |
34 |  Cyprus | 96.71 % | |
35 |  Saint Martin (French part) | 96.7 % | |
36 |  Switzerland | 96.7 % | |
37 |  Qatar | 96.34 % | |
38 |  Finland | 96.047 % | |
39 |  Czech Republic | 95.752 % | |
40 |  Italy | 95.615 % | |
41 |  United States | 95.355 % | |
42 |  Denmark | 95.25 % | |
43 |  Slovakia | 94.725 % | |
44 |  Portugal | 93.875 % | |
45 |  Chile | 93.553 % | |
46 |  Estonia | 93.373 % | |
47 |  Iceland | 92.832 % | |
48 |  Latvia | 92.63 % | |
49 |  Malaysia | 92.62 % | |
50 |  Bulgaria | 92.252 % | |
51 |  Slovenia | 91.813 % | |
52 |  Iran | 91.459 % | |
53 |  Poland | 91.143 % | |
54 |  Andorra | 90.64 % | |
55 |  French Polynesia | 90.449 % | |
56 |  New Caledonia | 89.037 % | |
57 |  French Guiana | 88.873 % | |
58 |  Bosnia and Herzegovina | 87.913 % | |
59 |  Bonaire, Sint Eustatius and Saba | 87.436 % | |
60 |  Croatia | 85.631 % | |
61 |  American Samoa | 85.326 % | |
62 |  Belarus | 84.43 % | |
63 |  New Zealand | 84.394 % | |
64 |  Oman | 84.326 % | |
65 |  Hungary | 84.317 % | |
66 |  Grenada | 83.21 % | |
67 |  Armenia | 83.041 % | |
68 |  Romania | 81.7 % | |
69 |  Saint Helena | 80.866 % | |
70 |  North Macedonia | 80.291 % | |
71 |  Northern Mariana Islands | 80.282 % | |
72 |  Tunisia | 78.109 % | |
73 |  Brazil | 78.042 % | |
74 |  Costa Rica | 78.036 % | |
75 |  Ireland | 76.994 % | |
76 |  State of Palestine | 76.549 % | |
77 |  Puerto Rico | 75.702 % | |
78 |  Russia | 75.432 % | |
79 |  Serbia | 74.551 % | |
80 |  Turkmenistan | 74.31 % | |
81 |  Lithuania | 74.106 % | |
82 |  Ukraine | 71.954 % | |
83 |  Algeria | 71.83 % | |
84 |  Palau | 70.21 % | |
85 |  Kazakhstan | 69.702 % | |
86 |  Trinidad and Tobago | 69.36 % | |
87 |  Colombia | 69.263 % | |
88 |  Wallis and Futuna Islands | 69.087 % | |
89 |  North Korea | 68.828 % | |
90 |  Egypt | 67.676 % | |
91 |  South Africa | 66.943 % | |
92 |  Guyana | 63.643 % | |
93 |  Ecuador | 63.519 % | |
94 |  Seychelles | 62.521 % | |
95 |  Uzbekistan | 60.437 % | |
96 |  Botswana | 60.422 % | |
97 |  Georgia | 60.127 % | |
98 |  Samoa | 60.11 % | |
99 |  Jordan | 55.516 % | |
100 |  Bangladesh | 55.209 % | |
101 |  Paraguay | 53.754 % | |
102 |  Suriname | 52.713 % | |
103 |  Iraq | 52.616 % | |
104 |  Albania | 52.578 % | |
105 |  Azerbaijan | 50.611 % | |
106 |  Republic of Moldova | 50.465 % | |
107 |  Guatemala | 49.817 % | |
108 |  Kyrgyzstan | 49.005 % | |
109 |  Vietnam | 48.415 % | |
110 |  Peru | 46.904 % | |
111 |  Honduras | 46.398 % | |
112 |  Sri Lanka | 45.703 % | |
113 |  India | 45.2 % | |
114 |  Philippines | 44.752 % | |
115 |  Lebanon | 44.613 % | |
116 |  Morocco | 43.663 % | |
117 |  Pakistan | 43.144 % | |
118 |  Dominican Republic | 42.925 % | |
119 |  Tajikistan | 41.368 % | |
120 |  Mexico | 40.722 % | |
121 |  Fiji | 39.729 % | |
122 |  Myanmar | 35.01 % | |
123 |  Congo | 31.572 % | |
124 |  Bhutan | 30.465 % | |
125 |  Eswatini | 29.875 % | |
126 |  Zimbabwe | 29.627 % | |
127 |  Tonga | 29.28 % | |
128 |  Gambia | 28.467 % | |
129 |  Sao Tome and Principe | 28.295 % | |
130 |  Nepal | 28.1 % | |
131 |  Côte d'Ivoire | 27.851 % | |
132 |  Indonesia | 25.197 % | |
133 |  Mongolia | 23.171 % | |
134 |  Senegal | 21.388 % | |
135 |  Cambodia | 19.477 % | |
136 |  Guinea-Bissau | 19.18 % | |
137 |  Ghana | 18.88 % | |
138 |  Nauru | 18.651 % | |
139 |  Vanuatu | 17.767 % | |
140 |  Nigeria | 16.372 % | |
141 |  Benin | 14.866 % | |
142 |  Afghanistan | 14.727 % | |
143 |  Lesotho | 13.394 % | |
144 |  Congo, Democratic Republic of the | 12.162 % | |
145 |  Togo | 12.135 % | |
146 |  Mozambique | 10.798 % | |
147 |  Kiribati | 10.354 % | |
148 |  Madagascar | 9.994 % | |
149 |  Laos | 9.044 % | |
150 |  Malawi | 8.883 % | |
151 |  Tuvalu | 7.872 % | |
152 |  Central African Republic | 7.864 % | |
153 |  Ethiopia | 6.238 % | |
154 |  Sierra Leone | 6.059 % | |
155 |  Chad | 5.677 % | |
156 |  Uganda | 5.227 % | |
157 |  Tanzania | 2.926 % |
- #1Gibraltar
- #2Kuwait
- #3Liechtenstein
- #4Malta
- #5Monaco
- #6San Marino
- #7Singapore
- #8United Kingdom
- #9Netherlands
- #10China, Macao SAR
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #157Tanzania
- #156Uganda
- #155Chad
- #154Sierra Leone
- #153Ethiopia
- #152Central African Republic
- #151Tuvalu
- #150Malawi
- #149Laos
- #148Madagascar
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Data Source
Our World in Data
Our World in Data is a collaborative effort between researchers at the University of Oxford, who are the scientific editors of the website content; and the UK-based nonprofit organization Global Change Data Lab (GCDL), which publishes and maintains the website and the data tools that make our work possible.
Visit Data SourceHistorical Data by Year
Explore Access to Safe Drinking Water data across different years. Compare trends and see how statistics have changed over time.