2. SDG Metadata
3. 3-2-2

<p><strong>URL:</strong> </p>
<p>All data sources, estimates and detailed methods are documented on the website <a href="https://childmortality.org">https://childmortality.org</a>.</p>
<p> </p>
<p><strong>References:</strong> </p>
<p>United Nations Inter-agency Group for Child Mortality Estimation (UN IGME). Levels and trends in child mortality. Report 2022. New York: UNICEF, 2023. Available at <a href="https://childmortality.org/wp-content/uploads/2023/01/UN-IGME-Child-Mortality-Report-2022.pdf">https://childmortality.org/wp-content/uploads/2023/01/UN-IGME-Child-Mortality-Report-2022.pdf</a></p>
<p>United Nations Inter-agency Group for Child Mortality Estimation (UN IGME). Subnational Under-five Mortality Estimates, 1990&#x2013;2019 for 22 countries. New York: UNICEF, 2020. Available at <a href="https://childmortality.org/wp-content/uploads/2021/03/UN-IGME-Subnational-Under-five-Mortality-Estimates.pdf">https://childmortality.org/wp-content/uploads/2021/03/UN-IGME-Subnational-Under-five-Mortality-Estimates.pdf</a></p>
<p> </p>
<p>Alexander, M. and L. Alkema, Global Estimation of Neonatal Mortality using a Bayesian Hierarchical Splines Regression Model Demographic Research, vol. 38, 2018, pp. 335&#x2013;372. </p>
<p> </p>
<p>Alkema L, New JR. Global estimation of child mortality using a Bayesian B-spline bias-reduction method. The Annals of Applied Statistics. 2014; 8(4): 2122&#x2013;2149. Available at: <a href="https://arxiv.org/abs/1309.1602">https://arxiv.org/abs/1309.1602</a> </p>
<p> </p>
<p>Alkema L, Chao F, You D, Pedersen J, Sawyer CC. National, regional, and global sex ratios of infant, child, and under-5 mortality and identification of countries with outlying ratios: a systematic assessment. The Lancet Global Health. 2014; 2(9): e521&#x2013;e530. </p>
<p> </p>
<p>Pedersen J, Liu J. Child Mortality Estimation: Appropriate Time Periods for Child Mortality Estimates from Full Birth Histories. Plos Medicine. 2012;9(8). Available at: <a href="http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001289 ">http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001289</a></p>
<p> </p>
<p>Silva R. Child Mortality Estimation: Consistency of Under-Five Mortality Rate Estimates Using Full Birth Histories and Summary Birth Histories. Plos Medicine. 2012;9(8). Available at: <a href="http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001296">http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001296</a> </p>
<p> </p>
<p>Walker N, Hill K, Zhao FM. Child Mortality Estimation: Methods Used to Adjust for Bias due to AIDS in Estimating Trends in Under-Five Mortality. Plos Medicine. 2012;9(8). Available at: <a href="http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001298 ">http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001298</a></p>
<p> </p>

<h1> Ссылки </h1>
<h2> URL: </h2>
<p> <a href="http://childmortality.org"> http://childmortality.org </a> </p>
<p> <a href="https://data.unicef.org/topic/child-survival/neonatal-mortality/"> https://data.unicef.org/topic/child-survival/neonatal-mortality/ </a> </p>
<h2> Ссылки: </h2>
<p> Межучрежденческая группа Организации Объединенных Наций по оценке детской смертности (UN IGME). Тенденции уровней детской смертности. Отчет за 2019 год. Нью-Йорк: ЮНИСЕФ, 2019г. Доступно <a href="at%20https:/childmortality.org/wp-content/uploads/2019/09/UN-IGME-Child-Mortality-Report-2019.pdf"> на https://childmortality.org/wp-content/uploads/2019/09/UN-IGME-Child-Mortality-Report-2019.pdf </a> [ 653]
<p>Alexander, M. and L. Alkema, Global Estimation of Neonatal Mortality using a Bayesian Hierarchical Splines Regression Model Demographic Research, vol. 38, 2018, pp. 335&#x2013;372.</p>
<p>Alkema L, New JR. Global estimation of child mortality using a Bayesian B-spline bias-reduction method. The Annals of Applied Statistics. 2014; 8(4): 2122&#x2013;2149. Доступно на: <a href="http://arxiv.org/abs/1309.1602">http://arxiv.org/abs/1309.1602</a> </p>
<p>Alkema L, Chao F, You D, Pedersen J, Sawyer CC. National, regional, and global sex ratios of infant, child, and under-5 mortality and identification of countries with outlying ratios: a systematic assessment. The Lancet Global Health. 2014; 2(9): e521&#x2013;e530.</p>
<p>Pedersen J, Liu J. Child Mortality Estimation: Appropriate Time Periods for Child Mortality Estimates from Full Birth Histories. Plos Medicine. 2012;9(8). Доступно на: <a href="http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001289">http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001289</a></p>
<p>Silva R. Child Mortality Estimation: Consistency of Under-Five Mortality Rate Estimates Using Full Birth Histories and Summary Birth Histories. Plos Medicine. 2012;9(8). Доступно на: <a href="http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001296">http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001296</a></p>
<p>Walker N, Hill K, Zhao FM. Child Mortality Estimation: Methods Used to Adjust for Bias due to AIDS in Estimating Trends in Under-Five Mortality. Plos Medicine. 2012;9(8). Доступно на: <a href="http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001298">http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001298 </a> </p>

<p><strong>URL:</strong> </p>
<p>All data sources, estimates and detailed methods are documented on the website <a href="file:///C:\Users\lyhel\Dropbox\UNICEF%20Work\Data%20Requests\UNSD%20-%20SDG\childmortality.org">childmortality.org</a> and <a href="https://data.unicef.org/topic/child-survival/under-five-mortality/">https://data.unicef.org/topic/child-survival/under-five-mortality/https://childmortality.org">https://childmortality.org</a> .</p>
<p> </p>
<p><strong>References:</strong> </p>
<p>United Nations Inter-agency Group for Child Mortality Estimation (UN IGME). Levels and trends in child mortality. Report 20212. New York: UNICEF, 20213. Available at <a href="https://childmortality.org/wp-content/uploads/2021/12/UNICEF-20213/01/UN-IGME-Child-Mortality-Report-2022.pdf">https://childmortality.org/wp-content/uploads/2023/01/UN-IGME-Child-Mortality-Report.pdf-2022.pdf</a></p>
<p>United Nations Inter-agency Group for Child Mortality Estimation (UN IGME). Subnational Under-five Mortality Estimates, 1990&#x2013;2019 for 22 countries. New York: UNICEF, 2020. Available at <a href="https://childmortality.org/wp-content/uploads/2021/03/UN-IGME-Subnational-Under-five-Mortality-Estimates.pdf">https://childmortality.org/wp-content/uploads/2021/03/UN-IGME-Subnational-Under-five-Mortality-Estimates.pdf</a></p>
<p> </p>
<p>Alexander, M. and L. Alkema, Global Estimation of Neonatal Mortality using a Bayesian Hierarchical Splines Regression Model Demographic Research, vol. 38, 2018, pp. 335&#x2013;372. </p>
<p> </p>
<p>Alkema L, New JR. Global estimation of child mortality using a Bayesian B-spline bias-reduction method. The Annals of Applied Statistics. 2014; 8(4): 2122&#x2013;2149. Available at: <a href="https://arxiv.org/abs/1309.1602">https://arxiv.org/abs/1309.1602</a> </p>
<p> </p>
<p>Alkema L, Chao F, You D, Pedersen J, Sawyer CC. National, regional, and global sex ratios of infant, child, and under-5 mortality and identification of countries with outlying ratios: a systematic assessment. The Lancet Global Health. 2014; 2(9): e521&#x2013;e530. </p>
<p> </p>
<p>Pedersen J, Liu J. Child Mortality Estimation: Appropriate Time Periods for Child Mortality Estimates from Full Birth Histories. Plos Medicine. 2012;9(8). Available at: <a href="http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001289 ">http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001289</a></p>
<p> </p>
<p>Silva R. Child Mortality Estimation: Consistency of Under-Five Mortality Rate Estimates Using Full Birth Histories and Summary Birth Histories. Plos Medicine. 2012;9(8). Available at: <a href="http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001296">http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001296</a> </p>
<p> </p>
<p>Walker N, Hill K, Zhao FM. Child Mortality Estimation: Methods Used to Adjust for Bias due to AIDS in Estimating Trends in Under-Five Mortality. Plos Medicine. 2012;9(8). Available at: <a href="http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001298 ">http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001298</a></p>
<p> </p>

<p><strong>Sources of discrepancies:</strong> </p>
<p>The United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) estimates are based on nationally representative data. Countries may use a single source as their official estimate or apply methods different from the UN IGME methods to derive official national estimates. The differences between the UN IGME estimates and national official estimates are usually not large if empirical data are high quality. </p>
<p> </p>
<p>Many countries lack a single source of high-quality data covering the last several decades, instead relying on multiple data sources to estimate mortality. Data from different sources require different calculation methods and may suffer from different errors, for example random errors in sample surveys or systematic errors due to misreporting. As a result, different surveys often yield widely different estimates of under-five mortality for a given time period and available data collected by countries are often inconsistent across sources. It is important to analyse, reconcile and evaluate all data sources simultaneously for each country. </p>
<p>Each new survey or data point must be examined in the context of all other sources, including previous data, and with respect to any sampling or non-sampling errors that may be present (such as misreporting of age and survivor selection bias; underreporting of child deaths is also common). The UN IGME assesses the quality of underlying data sources and adjusts data when necessary. Furthermore, the latest data produced by countries often are not current estimates but refer to an earlier reference period. Thus, the UN IGME also extrapolates estimates to a common reference year. </p>
<p>In order to reconcile these differences and take better account of the systematic biases associated with the various types of data inputs, the UN IGME has developed an estimation method to fit a smoothed trend curve to a set of observations and to extrapolate that trend to a defined time point. The UN IGME aims to minimize the errors for each estimate, harmonize trends over time and produce up-to-date and properly assessed estimates of child mortality. In the absence of error-free data, there will always be uncertainty around data and estimates. To allow for added comparability, the UN IGME generates such estimates with uncertainty bounds. Applying a consistent methodology also allows for comparisons between countries, despite the varied number and types of data sources. The UN IGME applies a common methodology across countries and uses original empirical data from each country but does not report figures produced by individual countries using other methods, which would not be comparable to other country estimates. </p>

<h2> Источники расхождений: </h2>
<p> Оценки Межучрежденческой группы ООН по оценке детской смертности (UN IGME) произведены на основе национальных данных. Страны часто используют единственный источник в качестве официальных оценок или применяют методы, отличные от методов UN IGME, для получения оценок. Различия между оценками UN IGME и национальными официальными оценками обычно невелики в случае, если эмпирические данные имеют хорошее качество.</p>
<p>Во многих странах отсутствует единственный источник высококачественных данных, охватывающий последние несколько десятилетий. Данные из различных источников требуют разных методов расчета и могут терять качество из-за разных ошибок, например случайных ошибок в выборочных обследованиях или систематических ошибок вследствие нарушения достоверности в отчетной информации. В результате различные обследования часто дают сильно различающиеся оценки смертности детей в возрасте до пяти лет за определенный период времени, а имеющиеся данные, собранные странами из различных источников, часто не соответствуют друг другу. Важно анализировать, согласовывать и оценивать все источники данных одновременно для каждой страны. Каждое новое обследование или элемент данных необходимо рассматривать в контексте всех других источников, включая предыдущие данные. Качество данных ухудшается из-за ошибок выборки или ошибок, не связанных с выборкой (например, неправильное указание возраста и систематическая ошибка отбора выживших; также распространено занижение сведений о детской смертности). UN IGME оценивает качество источников исходных данных и при необходимости корректирует данные. Более того, последние данные, представленные странами, часто не являются текущими оценками, а относятся к более раннему отчетному периоду. Таким образом, UN IGME также переносит оценки на общий базовый год. Чтобы согласовать эти различия и лучше учесть систематические ошибки, связанные с различными типами исходных данных, UN IGME разработала метод оценки, позволяющий подогнать сглаженную кривую тренда к набору наблюдений и экстраполировать этот тренд на определенный момент времени. UN IGME стремится свести к минимуму ошибки для каждой оценки, согласовать тренды в динамике и произвести актуальные и должным образом рассчитанные оценки детской смертности. При наличии ошибочных данных всегда будет возникать неопределенность в отношении данных и оценок. Чтобы обеспечить дополнительную сопоставимость, UN IGME производит такие оценки, имеющие диапазоны неопределенности. Применение последовательной методологии также позволяет проводить сравнения между странами, несмотря на различное количество и типы источников данных. UN IGME применяет единую методологию для разных стран и использует исходные эмпирические данные по каждой стране, но не представляет данные, полученные отдельными странами с использованием других методов, которые не были бы сопоставимы с оценками других стран. </p>

<p><strong>Sources of discrepancies:</strong> </p>
<p>The United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) estimates are based on nationally representative data. Countries may use a single source as their official estimate or apply methods different from the UN IGME methods to derive official national estimates. The differences between the UN IGME estimates and national official estimates are usually not large if empirical data are high quality. </p>
<p> </p>
<p>Many countries lack a single source of high-quality data covering the last several decades, instead relying on multiple data sources to estimate mortality. Data from different sources require different calculation methods and may suffer from different errors, for example random errors in sample surveys or systematic errors due to misreporting. As a result, different surveys often yield widely different estimates of under-five mortality for a given time period and available data collected by countries are often inconsistent across sources. It is important to analyse, reconcile and evaluate all data sources simultaneously for each country. </p>
<p>Each new survey or data point must be examined in the context of all other sources, including previous data, and with respect to any sampling or non-sampling errors that may be present (such as misreporting of age and survivor selection bias; underreporting of child deaths is also common). The UN IGME assesses the quality of underlying data sources and adjusts data when necessary. Furthermore, the latest data produced by countries often are not current estimates but refer to an earlier reference period. Thus, the UN IGME also extrapolates estimates to a common reference year. </p>
<p>In order to reconcile these differences and take better account of the systematic biases associated with the various types of data inputs, the UN IGME has developed an estimation method to fit a smoothed trend curve to a set of observations and to extrapolate that trend to a defined time point. The UN IGME aims to minimize the errors for each estimate, harmonize trends over time and produce up-to-date and properly assessed estimates of child mortality. In the absence of error-free data, there will always be uncertainty around data and estimates. To allow for added comparability, the UN IGME generates such estimates with uncertainty bounds. Applying a consistent methodology also allows for comparisons between countries, despite the varied number and types of data sources. The UN IGME applies a common methodology across countries and uses original empirical data from each country but does not report figures produced by individual countries using other methods, which would not be comparable to other country estimates. </p>

<p><strong>Data availability: </strong></p>
<p>This indicator is available for all countries from 1990 (or earlier depending on the availability of empirical data for each country before 1990) to the most recent target reference year, typically one or two years behind the current calendar year. </p>
<p><strong>Disaggregation: </strong></p>
<p>Due to data limitations, neonatal mortality rates are not estimated for any conventional disaggregation at this time.</p>

<h1> Доступность данных </h1>
<h2> Описание: </h2>
<p> Данные по показателю имеются для всех стран в период с 1990 (или ранее) по 2018 год, в зависимости от наличия эмпирических данных по каждой стране до 1990 года.</p>
<h2>Дезагрегирование:</h2>
<p>Общее дезагрегирование показателей смертности включает дезагрегирование по полу, возрасту (новорожденный, младенец, ребенок), квинтилю благосостояния, месту жительства и образованию матери. Дезагрегированные данные не всегда доступны. Дезагрегирование по географическому местонахождению обычно осуществляется на региональном или минимальном муниципальном уровне для данных обследования или переписи населения. Данные из хорошо функционирующих систем регистрации актов гражданского состояния могут обеспечить получение дальнейших географических разрезностей.</p>

<p><strong>Data availability: </strong></p>
<p>This indicator is available for all countries from 1990 (or earlier depending on the availability of empirical data for each country before 1990) to 2020the most recent target reference year, typically one or two years behind the current calendar year. </p>
<p><strong>Disaggregation: </strong></p>
<p>Due to data limitations, neonatal mortality rates are not estimated for any conventional disaggregation at this time.</p>

<p>The United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) aims to produce transparent, timely and accurate annual estimates of under-five mortality. Data quality is critical to that end. The UN IGME assesses data quality using both internal and external validaity checks and does not include data sources with substantial non-sampling errors or omissions as underlying empirical data in its statistical model.</p>

<p>The United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) applies a standard estimation method across all countries in the interest of comparability. This method aims to estimate a smooth trend curve of age-specific mortality rates, accounting for potential outliers and biases in data sources and averaging over the possibly many disparate data sources for a country. A more detailed descripition of the different phases of the statistical production process is available in the annual UN IGME report and at <a href="https://childmortality.org/methods">https://childmortality.org/methods</a>.</p>

<p>Detailed methodological descriptions can be found at the following: </p>
<p><a href="https://childmortality.org/methods">https://childmortality.org/methods</a> and <a href="https://childmortality.org/wp-content/uploads/2023/01/UN-IGME-Child-Mortality-Report-2022.pdf">https://childmortality.org/wp-content/uploads/2023/01/UN-IGME-Child-Mortality-Report-2022.pdf</a></p>