Automated teller machines (ATMs) (per 100,000 adults) - Country Ranking

Definition: Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place.

Source: International Monetary Fund, Financial Access Survey.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Macao SAR, China 324.61 2018
2 Korea 272.82 2017
3 Canada 220.60 2018
4 San Marino 191.64 2018
5 United States 173.90 2009
6 Austria 168.89 2018
7 Portugal 165.69 2018
8 Russia 160.92 2018
9 Croatia 147.65 2018
10 Australia 146.03 2018
11 Israel 128.07 2018
12 Japan 127.59 2018
13 The Bahamas 124.58 2018
14 Uruguay 120.51 2018
15 Germany 118.22 2017
16 Luxembourg 117.40 2018
17 United Kingdom 115.67 2018
18 Thailand 115.12 2018
19 Peru 114.66 2018
20 Spain 108.58 2018
21 Mongolia 106.14 2018
22 Brazil 104.79 2018
23 Switzerland 99.19 2018
24 France 98.30 2018
25 Ukraine 97.36 2018
26 China 96.82 2018
27 St. Kitts and Nevis 94.28 2018
28 Bulgaria 92.89 2018
29 Italy 91.14 2018
30 Slovenia 90.03 2018
31 Iran 87.69 2018
32 Belgium 87.45 2017
33 Montenegro 86.80 2018
34 Iceland 86.31 2018
35 Kazakhstan 84.12 2018
36 Seychelles 82.55 2018
37 Ireland 79.14 2018
38 Turkey 78.21 2018
39 Georgia 77.16 2018
40 Costa Rica 74.41 2018
41 Brunei 74.13 2018
42 Saudi Arabia 73.79 2018
43 Kuwait 72.96 2018
44 Poland 70.78 2018
45 Panama 70.01 2018
46 Estonia 68.14 2018
47 Antigua and Barbuda 67.96 2018
48 South Africa 66.66 2018
49 Singapore 66.46 2018
50 New Zealand 64.66 2018
51 Romania 64.49 2018
52 Namibia 64.41 2016
53 United Arab Emirates 63.94 2018
54 Armenia 63.66 2018
55 Greece 62.34 2018
56 Slovak Republic 61.87 2018
57 Latvia 61.05 2018
58 Hungary 60.52 2018
59 North Macedonia 59.85 2018
60 Argentina 58.93 2018
61 Mexico 58.58 2018
62 Czech Republic 57.09 2018
63 Qatar 55.77 2018
64 Belarus 55.63 2017
65 Bosnia and Herzegovina 55.44 2018
66 Indonesia 54.72 2018
67 Fiji 53.39 2018
68 Malta 52.71 2018
69 Samoa 52.07 2018
70 Hong Kong SAR, China 51.80 2018
71 Cabo Verde 50.03 2018
72 Chile 49.91 2018
73 Serbia 48.75 2018
74 Denmark 47.90 2018
75 Suriname 47.51 2018
76 Lithuania 47.19 2018
77 Malaysia 46.63 2018
78 Venezuela 46.62 2015
79 Palau 45.85 2017
80 Vanuatu 45.75 2018
81 Grenada 45.07 2018
82 Belize 44.95 2018
83 Mauritius 43.20 2018
84 Trinidad and Tobago 43.10 2018
85 St. Lucia 42.48 2018
86 Colombia 42.34 2018
87 Cyprus 42.13 2018
88 Netherlands 41.15 2018
89 Bolivia 40.49 2018
90 Tonga 40.48 2018
91 Eswatini 40.09 2018
92 El Salvador 38.12 2018
93 Moldova 38.10 2018
94 Lebanon 37.67 2018
95 Dominican Republic 37.39 2018
96 Kyrgyz Republic 36.92 2018
97 Bhutan 36.58 2017
98 Dominica 36.19 2018
99 St. Vincent and the Grenadines 35.59 2018
100 Guatemala 34.91 2018
101 Finland 34.84 2018
102 Oman 34.83 2018
103 Ecuador 34.60 2018
104 Norway 34.55 2018
105 Jamaica 33.82 2018
106 Azerbaijan 32.81 2018
107 Botswana 32.57 2017
108 Sweden 32.01 2017
109 Tunisia 30.67 2018
110 Albania 30.43 2018
111 Philippines 29.11 2018
112 Paraguay 29.07 2018
113 Jordan 28.00 2017
114 Uzbekistan 27.78 2018
115 Morocco 27.77 2018
116 Barbados 26.68 2018
117 São Tomé and Principe 26.35 2018
118 Lao PDR 25.71 2018
119 Vietnam 25.28 2018
120 Honduras 24.04 2018
121 India 21.74 2018
122 Nicaragua 21.66 2018
123 Guyana 20.85 2018
124 Cambodia 19.45 2018
125 Angola 18.85 2018
126 Egypt 18.59 2018
127 Sri Lanka 17.16 2015
128 Nigeria 16.92 2018
129 Lesotho 14.95 2018
130 Kiribati 14.25 2013
131 Nepal 14.23 2018
132 Timor-Leste 12.85 2018
133 Gabon 12.77 2013
134 Djibouti 12.13 2017
135 Solomon Islands 12.04 2017
136 Ghana 11.65 2018
137 Zambia 11.46 2018
138 Mozambique 10.79 2018
139 Pakistan 10.36 2018
140 Tajikistan 10.35 2013
141 Mauritania 9.70 2016
142 Kenya 9.20 2018
143 Equatorial Guinea 9.15 2016
144 Algeria 9.12 2018
145 Bangladesh 8.87 2018
146 Syrian Arab Republic 8.39 2012
147 Papua New Guinea 8.16 2018
148 Congo 7.54 2015
149 Côte d'Ivoire 6.94 2018
150 Zimbabwe 6.46 2018
151 Yemen 6.28 2015
152 Togo 6.13 2018
153 Tanzania 6.00 2015
154 Myanmar 5.63 2018
155 Senegal 5.50 2018
156 Sudan 5.42 2017
157 Rwanda 5.17 2018
158 Comoros 4.97 2018
159 Malawi 4.92 2015
160 Guinea-Bissau 4.81 2016
161 Cameroon 4.80 2018
162 Benin 4.74 2018
163 Mali 4.71 2018
164 Uganda 4.18 2018
165 Burkina Faso 3.96 2018
166 Iraq 3.95 2018
167 Libya 3.76 2017
168 Madagascar 2.80 2017
169 Guinea 2.42 2018
170 Haiti 2.09 2018
171 Liberia 1.79 2014
172 Niger 1.66 2018
173 Afghanistan 1.60 2018
174 Chad 1.54 2017
175 Burundi 1.40 2016
176 Central African Republic 1.32 2017
177 Dem. Rep. Congo 1.31 2015
178 Ethiopia 0.46 2012
179 Sierra Leone 0.37 2012

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Development Relevance: Access to finance can expand opportunities for all with higher levels of access and use of banking services associated with lower financing obstacles for people and businesses. A stable financial system that promotes efficient savings and investment is also crucial for a thriving democracy and market economy. There are several aspects of access to financial services: availability, cost, and quality of services. The development and growth of credit markets depend on access to timely, reliable, and accurate data on borrowers' credit experiences. Access to credit can be improved by making it easy to create and enforce collateral agreements and by increasing information about potential borrowers' creditworthiness. Lenders look at a borrower's credit history and collateral. Where credit registries and effective collateral laws are absent - as in many developing countries - banks make fewer loans. Indicators that cover getting credit include the strength of legal rights index and the depth of credit information index.

Limitations and Exceptions: Population-based ratios of the number of branches and ATMs assume a uniform distribution of bank outlets within a country's area and across its population, while in most countries bank branches and ATMs are concentrated in urban centers of the country and are accessible only to some individuals.

Statistical Concept and Methodology: Data are shown as the total number of ATMs for every 100,000 adults in the reporting country. Calculated as (number of ATMs)*100,000/adult population in the reporting country.

Aggregation method: Median

Periodicity: Annual

General Comments: Country-specific metadata can be found on the IMF’s FAS website at  http://fas.imf.org.