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indicators.html
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 3.2//EN">
<html>
<head>
<meta http-equiv="content-type" content="text/html;charset=utf-8" />
</head>
<body>
<table>
<tr>
<th>theme</th>
<th>series</th>
<th>name</th>
<th>unit</th>
<th>source</th>
<th>definition</th>
<th>primary</th>
<th>secondary</th>
<th>tertiary</th>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/ARTVTHCV.csv">ARTVTHCV</a></td>
<td>Antiretroviral therapy coverage, total</td>
<td>%</td>
<td>Compiled by World Bank</td>
<td>Antiretroviral therapy coverage indicates the percentage of adults and children with advanced HIV infection currently receiving antiretroviral therapy among the estimated number of people needing antiretroviral therapy based on WHO 2010 guidelines.</td>
<td>Antiretroviral therapy coverage</td>
<td></td>
<td>total</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HIVSFEIN.csv">HIVSFEIN</a></td>
<td>Female share of people living with HIV</td>
<td>%</td>
<td>Compiled by World Bank</td>
<td>The percentage of the HIV female population aged 15-49 of the total HIV population in the same age group.</td>
<td>People living with HIV</td>
<td>all women</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/INMORATO.csv">INMORATO</a></td>
<td>Infant mortality rate, total</td>
<td>Deaths Per 1,000 Births</td>
<td>Compiled by World Bank, Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.</td>
<td>Number of deaths under one year of age occurring among the live births in a given geographical area during a given year, per 1,000 live births occurring among the population of the given geographical area during the same year.</td>
<td>Infant mortality rate</td>
<td></td>
<td>total</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/NEMORATO.csv">NEMORATO</a></td>
<td>Neonatal mortality rate, total</td>
<td>Deaths Per 1,000 Births</td>
<td>Compiled by World Bank, Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.</td>
<td>Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.</td>
<td>Neonatal mortality rate</td>
<td></td>
<td>total</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MALHFEIN.csv">MALHFEIN</a></td>
<td>Malnutrition prevalence, height for age, stunting, female</td>
<td>%</td>
<td>Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition</td>
<td>Prevalence of child malnutrition is the percentage of children under age 5 whose height for age (stunting) is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.</td>
<td>Malnutrition prevalence</td>
<td>stunting, height for age</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MALHMAIN.csv">MALHMAIN</a></td>
<td>Malnutrition prevalence, height for age, stunting, male</td>
<td>%</td>
<td>Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition</td>
<td>Prevalence of child malnutrition is the percentage of children under age 5 whose height for age (stunting) is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.</td>
<td>Malnutrition prevalence</td>
<td>stunting, height for age</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/OWC5FEIN.csv">OWC5FEIN</a></td>
<td>Malnutrition prevalence, weight for age, overweight, female</td>
<td>%</td>
<td>Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition</td>
<td>Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.</td>
<td>Malnutrition prevalence</td>
<td>overweight, weight for age</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/OWC5MAIN.csv">OWC5MAIN</a></td>
<td>Malnutrition prevalence, weight for age, overweight, male</td>
<td>%</td>
<td>Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition</td>
<td>Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.</td>
<td>Malnutrition prevalence</td>
<td>overweight, weight for age</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MALWFEIN.csv">MALWFEIN</a></td>
<td>Malnutrition prevalence, weight for age, underweight, female</td>
<td>%</td>
<td>Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition</td>
<td>Prevalence of child malnutrition is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.</td>
<td>Malnutrition prevalence</td>
<td>underweight, weight for age</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MALWMAIN.csv">MALWMAIN</a></td>
<td>Malnutrition prevalence, weight for age, underweight, male</td>
<td>%</td>
<td>Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition</td>
<td>Prevalence of child malnutrition is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.</td>
<td>Malnutrition prevalence</td>
<td>underweight, weight for age</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/WASTFEIN.csv">WASTFEIN</a></td>
<td>Malnutrition prevalence, weight for height, wasting, female</td>
<td>%</td>
<td>Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition</td>
<td>Wasting prevalence is the proportion of children under five whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.</td>
<td>Malnutrition prevalence</td>
<td>wasting, weight for height</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/WASTMAIN.csv">WASTMAIN</a></td>
<td>Malnutrition prevalence, weight for height, wasting, male</td>
<td>%</td>
<td>Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition</td>
<td>Wasting prevalence is the proportion of children under five whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.</td>
<td>Malnutrition prevalence</td>
<td>wasting, weight for height</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/CONTFEHQ.csv">CONTFEHQ</a></td>
<td>Contraceptive prevalence, female, highest income quintile</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>Current use of contraception among currently married women, any method by household wealth index</td>
<td>Contraceptive prevalence</td>
<td>highest income quintile</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/CONTFELQ.csv">CONTFELQ</a></td>
<td>Contraceptive prevalence, female, lowest income quintile</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>Current use of contraception among currently married women, any method by household wealth index</td>
<td>Contraceptive prevalence</td>
<td>lowest income quintile</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/CONTFENE.csv">CONTFENE</a></td>
<td>Contraceptive prevalence, female, no education</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>Current use of contraception among currently married women, any method by highest education level of respondent</td>
<td>Contraceptive prevalence</td>
<td>no education</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/CONTFEPE.csv">CONTFEPE</a></td>
<td>Contraceptive prevalence, female, primary education</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>Current use of contraception among currently married women, any method by highest education level of respondent</td>
<td>Contraceptive prevalence</td>
<td>primary education</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/CONTFESE.csv">CONTFESE</a></td>
<td>Contraceptive prevalence, female, secondary or higher</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>Current use of contraception among currently married women, any method by highest education level of respondent</td>
<td>Contraceptive prevalence</td>
<td>secondary or higher</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/TOFERTHQ.csv">TOFERTHQ</a></td>
<td>Fertility rate, female, highest income quintile</td>
<td>Number Of Children</td>
<td>DHS Household Surveys</td>
<td>Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates, by household wealth index</td>
<td>Fertility rate</td>
<td>highest income quintile</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/TOFERTLQ.csv">TOFERTLQ</a></td>
<td>Fertility rate, female, lowest income quintile</td>
<td>Number Of Children</td>
<td>DHS Household Surveys</td>
<td>Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates, by household wealth index</td>
<td>Fertility rate</td>
<td>lowest income quintile</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/KNCOFEHQ.csv">KNCOFEHQ</a></td>
<td>Knowledge of contraceptive methods, female, highest income quintile</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>Knowledge of contraceptive methods, any method, by household wealth index</td>
<td>Knowledge of contraceptive methods</td>
<td>highest income quintile</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/KNCOFELQ.csv">KNCOFELQ</a></td>
<td>Knowledge of contraceptive methods, female, lowest income quintile</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>Knowledge of contraceptive methods, any method, by household wealth index</td>
<td>Knowledge of contraceptive methods</td>
<td>lowest income quintile</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HIVPRENE.csv">HIVPRENE</a></td>
<td>Knowledge of HIV prevention methods, female, no education</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by highest educational level of respondent</td>
<td>Knowledge of HIV prevention methods</td>
<td>no education</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HIVPREPE.csv">HIVPREPE</a></td>
<td>Knowledge of HIV prevention methods, female, primary education</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by highest educational level of respondent</td>
<td>Knowledge of HIV prevention methods</td>
<td>primary education</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HIVPRESE.csv">HIVPRESE</a></td>
<td>Knowledge of HIV prevention methods, female, secondary or higher</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by highest educational level of respondent</td>
<td>Knowledge of HIV prevention methods</td>
<td>secondary or higher</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HIVPRERU.csv">HIVPRERU</a></td>
<td>Knowledge of HIV prevention methods, rural</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by urban / rural breakdown</td>
<td>Knowledge of HIV prevention methods</td>
<td>rural</td>
<td></td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HIVPREUR.csv">HIVPREUR</a></td>
<td>Knowledge of HIV prevention methods, urban</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by urban / rural breakdown</td>
<td>Knowledge of HIV prevention methods</td>
<td>urban</td>
<td></td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/UNCOFEHQ.csv">UNCOFEHQ</a></td>
<td>Unmet need for contraception, female, highest income quintile</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception, by household wealth index</td>
<td>Unmet need for contraception</td>
<td>highest income quintile</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/UNCOFELQ.csv">UNCOFELQ</a></td>
<td>Unmet need for contraception, female, lowest income quintile</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception, by household wealth index</td>
<td>Unmet need for contraception</td>
<td>lowest income quintile</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HEPAFEFC.csv">HEPAFEFC</a></td>
<td>Women's participation in decision-making of own healthcare, employed for cash</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>A measue of women's agency: women's autonomy in household decision making, final say in own health care by employment status</td>
<td>Women's participation in decision-making of own healthcare</td>
<td>employed for cash</td>
<td></td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HEPAFENC.csv">HEPAFENC</a></td>
<td>Women's participation in decision-making of own healthcare, employed not for cash</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>A measue of women's agency: women's autonomy in household decision making: final say in own health care by employment status</td>
<td>Women's participation in decision-making of own healthcare</td>
<td>employed not for cash</td>
<td></td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HEPAFEHQ.csv">HEPAFEHQ</a></td>
<td>Women's participation in decision-making of own healthcare, highest income quintile</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>A measue of women's agency: women's autonomy in household decision making: final say in own health care by household wealth index</td>
<td>Women's participation in decision-making of own healthcare</td>
<td>highest income quintile</td>
<td></td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HEPAFELQ.csv">HEPAFELQ</a></td>
<td>Women's participation in decision-making of own healthcare, lowest income quintile</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>A measue of women's agency: women's autonomy in household decision making: final say in own health care by household wealth index</td>
<td>Women's participation in decision-making of own healthcare</td>
<td>lowest income quintile</td>
<td></td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/HEPAFENE.csv">HEPAFENE</a></td>
<td>Women's participation in decision-making of own healthcare, not employed</td>
<td>%</td>
<td>DHS Household Surveys</td>
<td>A measue of women's agency: women's autonomy in household decision making: final say in own health care by employment status</td>
<td>Women's participation in decision-making of own healthcare</td>
<td>not employed</td>
<td></td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/CHCDFEIN.csv">CHCDFEIN</a></td>
<td>Child deaths from diarrhea, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Child deaths from diarrhea</td>
<td></td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/CHCDMAIN.csv">CHCDMAIN</a></td>
<td>Child deaths from diarrhea, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Child deaths from diarrhea</td>
<td></td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRALZFE.csv">MTRALZFE</a></td>
<td>DALYs per 100,000, Alzheimer's and dementia, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Alzheimer's and dementia</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRALZMA.csv">MTRALZMA</a></td>
<td>DALYs per 100,000, Alzheimer's and dementia, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Alzheimer's and dementia</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRCBVFE.csv">MTRCBVFE</a></td>
<td>DALYs per 100,000, Cerebrovascular disease, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Cerebrovascular disease</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRCBVMA.csv">MTRCBVMA</a></td>
<td>DALYs per 100,000, Cerebrovascular disease, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Cerebrovascular disease</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRCDSFE.csv">MTRCDSFE</a></td>
<td>DALYs per 100,000, Communicable, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Communicable</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRCDSMA.csv">MTRCDSMA</a></td>
<td>DALYs per 100,000, Communicable, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Communicable</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAPDFEIN.csv">DAPDFEIN</a></td>
<td>DALYs per 100,000, COPD, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>COPD</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAPDMAIN.csv">DAPDMAIN</a></td>
<td>DALYs per 100,000, COPD, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>COPD</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DADDFEIN.csv">DADDFEIN</a></td>
<td>DALYs per 100,000, Diarrheal diseases, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Diarrheal diseases</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DADDMAIN.csv">DADDMAIN</a></td>
<td>DALYs per 100,000, Diarrheal diseases, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Diarrheal diseases</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRHIVFE.csv">MTRHIVFE</a></td>
<td>DALYs per 100,000, HIV/AIDS, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>HIV/AIDS</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRHIVMA.csv">MTRHIVMA</a></td>
<td>DALYs per 100,000, HIV/AIDS, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>HIV/AIDS</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRIJSFE.csv">MTRIJSFE</a></td>
<td>DALYs per 100,000, Injuries, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Injuries</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRIJSMA.csv">MTRIJSMA</a></td>
<td>DALYs per 100,000, Injuries, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Injuries</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRIHDFE.csv">MTRIHDFE</a></td>
<td>DALYs per 100,000, Ischemic heart disease, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Ischemic heart disease</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRIHDMA.csv">MTRIHDMA</a></td>
<td>DALYs per 100,000, Ischemic heart disease, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Ischemic heart disease</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DANPFEIN.csv">DANPFEIN</a></td>
<td>DALYs per 100,000, Low back & neck pain, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Low back & neck pain</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DANPMAIN.csv">DANPMAIN</a></td>
<td>DALYs per 100,000, Low back & neck pain, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Low back & neck pain</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRLRDFE.csv">MTRLRDFE</a></td>
<td>DALYs per 100,000, Lower respiratory, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Lower respiratory</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRLRDMA.csv">MTRLRDMA</a></td>
<td>DALYs per 100,000, Lower respiratory, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Lower respiratory</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAMD10FE.csv">DAMD10FE</a></td>
<td>DALYs per 100,000, Major depressive disorder, ages 10-14, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Major depressive disorder, ages 10-14</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAMD10MA.csv">DAMD10MA</a></td>
<td>DALYs per 100,000, Major depressive disorder, ages 10-14, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Major depressive disorder, ages 10-14</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAMD15FE.csv">DAMD15FE</a></td>
<td>DALYs per 100,000, Major depressive disorder, ages 15-19, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Major depressive disorder, ages 15-19</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAMD15MA.csv">DAMD15MA</a></td>
<td>DALYs per 100,000, Major depressive disorder, ages 15-19, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Major depressive disorder, ages 15-19</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRMLRFE.csv">MTRMLRFE</a></td>
<td>DALYs per 100,000, Malaria, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Malaria</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRMLRMA.csv">MTRMLRMA</a></td>
<td>DALYs per 100,000, Malaria, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Malaria</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRNCDFE.csv">MTRNCDFE</a></td>
<td>DALYs per 100,000, Noncommunicable, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Noncommunicable</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRNCDMA.csv">MTRNCDMA</a></td>
<td>DALYs per 100,000, Noncommunicable, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Noncommunicable</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRPBCFE.csv">MTRPBCFE</a></td>
<td>DALYs per 100,000, Preterm birth conditions, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Preterm birth conditions</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRPBCMA.csv">MTRPBCMA</a></td>
<td>DALYs per 100,000, Preterm birth conditions, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Preterm birth conditions</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAMAFEIN.csv">DAMAFEIN</a></td>
<td>DALYs per 100,000, Protein-energy malnutrition, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Protein-energy malnutrition</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAMAMAIN.csv">DAMAMAIN</a></td>
<td>DALYs per 100,000, Protein-energy malnutrition, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Protein-energy malnutrition</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRALLFE.csv">MTRALLFE</a></td>
<td>DALYs per 100,000, total, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Total</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/MTRALLMA.csv">MTRALLMA</a></td>
<td>DALYs per 100,000, total, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Total</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAUDFEIN.csv">DAUDFEIN</a></td>
<td>DALYs per 100,000, Unipolar depressive disorder, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Unipolar depressive disorder</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DAUDMAIN.csv">DAUDMAIN</a></td>
<td>DALYs per 100,000, Unipolar depressive disorder, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death</td>
<td>DALYs per 100,000</td>
<td>Unipolar depressive disorder</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEBCFEIN.csv">DEBCFEIN</a></td>
<td>Deaths per 100,000, Breast cancer, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Breast cancer</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DECBFEIN.csv">DECBFEIN</a></td>
<td>Deaths per 100,000, Cerebrovascular disease, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Cerebrovascular disease</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DECBMAIN.csv">DECBMAIN</a></td>
<td>Deaths per 100,000, Cerebrovascular disease, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Cerebrovascular disease</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DECOFEIN.csv">DECOFEIN</a></td>
<td>Deaths per 100,000, communicative, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Communicable</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DECOMAIN.csv">DECOMAIN</a></td>
<td>Deaths per 100,000, communicative, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Communicable</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEPDFEIN.csv">DEPDFEIN</a></td>
<td>Deaths per 100,000, COPD, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>COPD</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEPDMAIN.csv">DEPDMAIN</a></td>
<td>Deaths per 100,000, COPD, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>COPD</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEDMFEIN.csv">DEDMFEIN</a></td>
<td>Deaths per 100,000, Diabetes mellitus, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Diabetes mellitus</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEDMMAIN.csv">DEDMMAIN</a></td>
<td>Deaths per 100,000, Diabetes mellitus, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Diabetes mellitus</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEDDFEIN.csv">DEDDFEIN</a></td>
<td>Deaths per 100,000, Diarrheal diseases, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Diarrheal diseases</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEDDMAIN.csv">DEDDMAIN</a></td>
<td>Deaths per 100,000, Diarrheal diseases, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Diarrheal diseases</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEHI10FE.csv">DEHI10FE</a></td>
<td>Deaths per 100,000, HIV AIDS, ages 10-14, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>HIV AIDS, ages 10-14</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEHI10MA.csv">DEHI10MA</a></td>
<td>Deaths per 100,000, HIV AIDS, ages 10-14, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>HIV AIDS, ages 10-14</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEHAFEIN.csv">DEHAFEIN</a></td>
<td>Deaths per 100,000, HIV/AIDS, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>HIV/AIDS</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEHAMAIN.csv">DEHAMAIN</a></td>
<td>Deaths per 100,000, HIV/AIDS, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>HIV/AIDS</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEIJFEIN.csv">DEIJFEIN</a></td>
<td>Deaths per 100,000, injuries, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Injuries</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEIJMAIN.csv">DEIJMAIN</a></td>
<td>Deaths per 100,000, injuries, male</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Injuries</td>
<td>male</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEHDFEIN.csv">DEHDFEIN</a></td>
<td>Deaths per 100,000, Ischemic heart disease, female</td>
<td>DALYs per 100,000</td>
<td>Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME)</td>
<td>The mean number of deaths per 100,000 attributable to cause of disease or death</td>
<td>Deaths per 100,000</td>
<td>Ischemic heart disease</td>
<td>female</td>
</tr>
<tr>
<td>Health</td>
<td><a href="https://raw.githubusercontent.com/fathominfo/noceilings-data/master/csv/DEHDMAIN.csv">DEHDMAIN</a></td>