Health > Drug access: Countries Compared
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Author: Edria Murray, Staff Editor
In response to <i>Enrique Manero</i> and <i>Flávio Ferraz</i>:
<p>In both Colombia and Mexico, 80-94% of the population have access to essential drugs. In Brazil, less than 50% have access to essential drugs. You can view this information by clicking on the <a href=/red/graph/hea_dru_acc&int=-1>view all countries</a> link at the top of this page.</p>
<p>Also, note that this statistic gives the proportion of the population with <em>access to essential drugs</em> not the amount of drugs produced. </p>
<p>For information on <i>illicit</i> drugs see the <a href=/graph/cri_ill_dru&int=-1>illicit drugs</a> and <a href=/graph/cri_dru_off&int=-1>drug offences</a> pages in the <a href=/cat/Crime>crime</a> category.</p>
<p>In both Colombia and Mexico, 80-94% of the population have access to essential drugs. In Brazil, less than 50% have access to essential drugs. You can view this information by clicking on the <a href=/red/graph/hea_dru_acc&int=-1>view all countries</a> link at the top of this page.</p>
<p>Also, note that this statistic gives the proportion of the population with <em>access to essential drugs</em> not the amount of drugs produced. </p>
<p>For information on <i>illicit</i> drugs see the <a href=/graph/cri_ill_dru&int=-1>illicit drugs</a> and <a href=/graph/cri_dru_off&int=-1>drug offences</a> pages in the <a href=/cat/Crime>crime</a> category.</p>
DEFINITION:
Population with access to essential drugs 2000. The data on access to essential drugs are based on statistical estimates received from World Health Organization (WHO) country and regional offices and regional advisers and through the World Drug Situation Survey carried out in 1998-99. These estimates represent the best information available to the WHO Department of Essential Drugs and Medicines Policy to date and are currently being validated by WHO member states. The department assigns the estimates to four groupings: very low access (0-49%), low access (50-79%), medium access (80-94%) and good access (95-100%). These groupings, used here in presenting the data, are often employed by the WHO in interpreting the data, as the actual estimates may suggest a higher level of accuracy than the data afford. b.
CONTENTS
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# | COUNTRY | AMOUNT | DATE | GRAPH |
---|---|---|---|---|
=1 | Canada | 95% | 2000 | |
=1 | Swaziland | 95% | 2000 | |
=1 | Netherlands | 95% | 2000 | |
=1 | South Korea | 95% | 2000 | |
=1 | Turkey | 95% | 2000 | |
=1 | France | 95% | 2000 | |
=1 | Slovakia | 95% | 2000 | |
=1 | Norway | 95% | 2000 | |
=1 | Bahrain | 95% | 2000 | |
=1 | Libya | 95% | 2000 | |
=1 | Finland | 95% | 2000 | |
=1 | Mauritius | 95% | 2000 | |
=1 | Portugal | 95% | 2000 | |
=1 | Barbados | 95% | 2000 | |
=1 | Costa Rica | 95% | 2000 | |
=1 | Luxembourg | 95% | 2000 | |
=1 | Ireland | 95% | 2000 | |
=1 | Australia | 95% | 2000 | |
=1 | Thailand | 95% | 2000 | |
=1 | Denmark | 95% | 2000 | |
=1 | Estonia | 95% | 2000 | |
=1 | Fiji | 95% | 2000 | |
=1 | Qatar | 95% | 2000 | |
=1 | Italy | 95% | 2000 | |
=1 | Suriname | 95% | 2000 | |
=1 | Israel | 95% | 2000 | |
=1 | Jordan | 95% | 2000 | |
=1 | Hungary | 95% | 2000 | |
=1 | United Kingdom | 95% | 2000 | |
=1 | Greece | 95% | 2000 | |
=1 | Saudi Arabia | 95% | 2000 | |
=1 | Slovenia | 95% | 2000 | |
=1 | Spain | 95% | 2000 | |
=1 | New Zealand | 95% | 2000 | |
=1 | Jamaica | 95% | 2000 | |
=1 | United Arab Emirates | 95% | 2000 | |
=1 | Cyprus | 95% | 2000 | |
=1 | Cuba | 95% | 2000 | |
=1 | United States | 95% | 2000 | |
=1 | Sweden | 95% | 2000 | |
=1 | Austria | 95% | 2000 | |
=1 | Japan | 95% | 2000 | |
=1 | Algeria | 95% | 2000 | |
=1 | Belgium | 95% | 2000 | |
=1 | Croatia | 95% | 2000 | |
=1 | Switzerland | 95% | 2000 | |
=1 | Grenada | 95% | 2000 | |
=1 | Malta | 95% | 2000 | |
=1 | Kuwait | 95% | 2000 | |
=1 | Iceland | 95% | 2000 | |
=1 | Germany | 95% | 2000 | |
=1 | Singapore | 95% | 2000 | |
=1 | Sri Lanka | 95% | 2000 | |
Group of 7 countries (G7) average (profile) | 95% | 2000 | ||
Eurozone average (profile) | 94.17% | 2000 | ||
High income OECD countries average (profile) | 93.55% | 2000 | ||
European Union average (profile) | 91.79% | 2000 | ||
NATO countries average (profile) | 90% | 2000 | ||
Non-religious countries average (profile) | 87.5% | 2000 | ||
Middle Eastern and North Africa average (profile) | 82.65% | 2000 | ||
Heavily indebted countries average (profile) | 80.9% | 2000 | ||
=54 | Dominica | 80% | 2000 | |
=54 | Indonesia | 80% | 2000 | |
=54 | Guinea | 80% | 2000 | |
=54 | Panama | 80% | 2000 | |
=54 | El Salvador | 80% | 2000 | |
=54 | Belize | 80% | 2000 | |
=54 | Lebanon | 80% | 2000 | |
=54 | Colombia | 80% | 2000 | |
=54 | Venezuela | 80% | 2000 | |
=54 | Papua New Guinea | 80% | 2000 | |
=54 | Syria | 80% | 2000 | |
=54 | Mexico | 80% | 2000 | |
=54 | Botswana | 80% | 2000 | |
=54 | Lithuania | 80% | 2000 | |
=54 | The Gambia | 80% | 2000 | |
=54 | Cape Verde | 80% | 2000 | |
=54 | The Bahamas | 80% | 2000 | |
=54 | Oman | 80% | 2000 | |
=54 | Lesotho | 80% | 2000 | |
=54 | Czech Republic | 80% | 2000 | |
=54 | Solomon Islands | 80% | 2000 | |
=54 | Cote d'Ivoire | 80% | 2000 | |
=54 | China | 80% | 2000 | |
=54 | Vietnam | 80% | 2000 | |
=54 | Bulgaria | 80% | 2000 | |
=54 | Romania | 80% | 2000 | |
=54 | South Africa | 80% | 2000 | |
=54 | Latvia | 80% | 2000 | |
=54 | Iran | 80% | 2000 | |
=54 | Chile | 80% | 2000 | |
=54 | Seychelles | 80% | 2000 | |
=54 | Egypt | 80% | 2000 | |
=54 | Djibouti | 80% | 2000 | |
=54 | Bhutan | 80% | 2000 | |
=54 | Poland | 80% | 2000 | |
=54 | Namibia | 80% | 2000 | |
=54 | Comoros | 80% | 2000 | |
OPEC countries average (profile) | 73% | 2000 | ||
Emerging markets average (profile) | 67.6% | 2000 | ||
Catholic countries average (profile) | 65.44% | 2000 | ||
Former British colonies average (profile) | 63.51% | 2000 | ||
Muslim countries average (profile) | 60.83% | 2000 | ||
Latin America and Caribbean average (profile) | 55.94% | 2000 | ||
Former Spanish colonies average (profile) | 51% | 2000 | ||
Former French colonies average (profile) | 51% | 2000 | ||
=91 | Turkmenistan | 50% | 2000 | |
=91 | Ethiopia | 50% | 2000 | |
=91 | Cameroon | 50% | 2000 | |
=91 | Burkina Faso | 50% | 2000 | |
=91 | Madagascar | 50% | 2000 | |
=91 | Dominican Republic | 50% | 2000 | |
=91 | Central African Republic | 50% | 2000 | |
=91 | Bangladesh | 50% | 2000 | |
=91 | Malaysia | 50% | 2000 | |
=91 | Philippines | 50% | 2000 | |
=91 | Morocco | 50% | 2000 | |
=91 | Uzbekistan | 50% | 2000 | |
=91 | Maldives | 50% | 2000 | |
=91 | Senegal | 50% | 2000 | |
=91 | Zimbabwe | 50% | 2000 | |
=91 | Mauritania | 50% | 2000 | |
=91 | Trinidad and Tobago | 50% | 2000 | |
=91 | Argentina | 50% | 2000 | |
=91 | Bolivia | 50% | 2000 | |
=91 | Guatemala | 50% | 2000 | |
=91 | Pakistan | 50% | 2000 | |
=91 | Yemen | 50% | 2000 | |
=91 | Albania | 50% | 2000 | |
=91 | Azerbaijan | 50% | 2000 | |
=91 | Eritrea | 50% | 2000 | |
=91 | Saint Lucia | 50% | 2000 | |
=91 | Mongolia | 50% | 2000 | |
=91 | Peru | 50% | 2000 | |
=91 | Laos | 50% | 2000 | |
=91 | Benin | 50% | 2000 | |
=91 | Saint Kitts and Nevis | 50% | 2000 | |
=91 | Togo | 50% | 2000 | |
=91 | Ukraine | 50% | 2000 | |
=91 | Mali | 50% | 2000 | |
=91 | Russia | 50% | 2000 | |
=91 | Mozambique | 50% | 2000 | |
=91 | Uganda | 50% | 2000 | |
=91 | Niger | 50% | 2000 | |
=91 | Belarus | 50% | 2000 | |
=91 | Uruguay | 50% | 2000 | |
=91 | Antigua and Barbuda | 50% | 2000 | |
=91 | Democratic Republic of the Congo | 50% | 2000 | |
=91 | Zambia | 50% | 2000 | |
=91 | Kazakhstan | 50% | 2000 | |
=91 | Kyrgyzstan | 50% | 2000 | |
=91 | Burma | 50% | 2000 | |
=91 | Tunisia | 50% | 2000 | |
Former Soviet republics average (profile) | 46.79% | 2000 | ||
South Asia average (profile) | 45% | 2000 | ||
Sub-Saharan Africa average (profile) | 44.65% | 2000 | ||
South and Central Asia average (profile) | 43.75% | 2000 | ||
=138 | Tajikistan | 0.0 | 2000 | |
=138 | Malawi | 0.0 | 2000 | |
=138 | Nigeria | 0.0 | 2000 | |
=138 | Ecuador | 0.0 | 2000 | |
=138 | Rwanda | 0.0 | 2000 | |
=138 | Sierra Leone | 0.0 | 2000 | |
=138 | Georgia | 0.0 | 2000 | |
=138 | Sudan | 0.0 | 2000 | |
=138 | Nepal | 0.0 | 2000 | |
=138 | Paraguay | 0.0 | 2000 | |
=138 | Cambodia | 0.0 | 2000 | |
=138 | Ghana | 0.0 | 2000 | |
=138 | Gabon | 0.0 | 2000 | |
=138 | Equatorial Guinea | 0.0 | 2000 | |
=138 | India | 0.0 | 2000 | |
=138 | Kenya | 0.0 | 2000 | |
=138 | Armenia | 0.0 | 2000 | |
=138 | Angola | 0.0 | 2000 | |
=138 | Chad | 0.0 | 2000 | |
=138 | Brazil | 0.0 | 2000 | |
=138 | Haiti | 0.0 | 2000 | |
=138 | Guinea-Bissau | 0.0 | 2000 | |
=138 | Burundi | 0.0 | 2000 | |
=138 | Nicaragua | 0.0 | 2000 | |
=138 | Guyana | 0.0 | 2000 | |
=138 | Honduras | 0.0 | 2000 |
Citation
0
<p>In both Colombia and Mexico, 80-94% of the population have access to essential drugs. In Brazil, less than 50% have access to essential drugs. You can view this information by clicking on the <a href=/red/graph/hea_dru_acc&int=-1>view all countries</a> link at the top of this page.</p>
<p>Also, note that this statistic gives the proportion of the population with <em>access to essential drugs</em> not the amount of drugs produced. </p>
<p>For information on <i>illicit</i> drugs see the <a href=/graph/cri_ill_dru&int=-1>illicit drugs</a> and <a href=/graph/cri_dru_off&int=-1>drug offences</a> pages in the <a href=/cat/Crime>crime</a> category.</p>
Posted on 07 Jun 2005
Edria Murray, Staff Editor