Key English Russian State
SDG_GOAL <p>Goal 3: Ensure healthy lives and promote well-being for all at all ages</p> <p>Цель 3: Обеспечение здорового образа жизни и содействие благополучию для всех в любом возрасте</p>
SDG_TARGET <p>Target 3.7: By 2030, ensure universal access to sexual and reproductive health-care services, including for family planning, information and education, and the integration of reproductive health into national strategies and programmes</p> <p>Задача 3.7: К 2030 году обеспечить всеобщий доступ к услугам по охране сексуального и репродуктивного здоровья, включая услуги по планированию семьи, информирование и просвещение, и учет вопросов охраны репродуктивного здоровья в национальных стратегиях и программах</p>
SDG_INDICATOR <p>Indicator 3.7.1: Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods</p> <p>Показатель 3.7.1: Доля женщин репродуктивного возраста (от 15 до 49 лет), чьи потребности по планированию семьи удовлетворяются современными методами</p>
META_LAST_UPDATE <p>Last updated: March 2020</p> <p>Последнее обновление: март 2020 года </p>
SDG_RELATED_INDICATORS <h1>Related indicators as of February 2020</h1>
<p>This indicator is linked to Target 3.8 (Achieve universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for all) because the provision of family planning information and methods to all individuals who want to prevent pregnancy is an important component of achieving universal health coverage. </p>
<p>This indicator is also linked to Target 5.6 (Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferences) because meeting the demand for family planning is facilitated by increasing access to sexual and reproductive health-care services, and also improves sexual and reproductive health and the ability to exercise reproductive rights. </p>
<h1> Связанные показатели по состоянию на февраль 2020 года </h1>
<p>Этот показатель связан с Задачей 3.8 (Обеспечить всеобщий охват услугами здравоохранения, в том числе защиту от финансовых рисков, доступ к качественным основным медико-санитарным услугам и доступ к безопасным, эффективным, качественным и недорогим основным лекарственным средствам и вакцинам для всех), поскольку предоставление информации и знаний о методах планирования семьи для всех людей, которые хотят предотвратить беременность, является важным компонентом достижения всеобщего охвата услугами здравоохранения. </p>
<p> Этот показатель также связан с Задачей 5.6 (Обеспечить всеобщий доступ к услугам в области охраны сексуального и репродуктивного здоровья и к реализации репродуктивных прав в соответствии с Программой действий Международной конференции по народонаселению и развитию, Пекинской платформой действий и итоговыми документами конференций по рассмотрению хода их выполнения), поскольку удовлетворение потребности по планированию семьи обеспечивается с помощью расширенного доступа к сексуальным и репродуктивным медико-санитарным услугам, а также улучшает сексуальное и репродуктивное здоровье и способность осуществлять репродуктивные права.</p>
SDG_CUSTODIAN_AGENCIES <h1>Institutional information</h1>
<h2>Organization(s):</h2>
<p>Population Division, Department of Economic and Social Affairs (DESA)</p>
<p>United Nations Population Fund (UNFPA)</p>
<h1> Институциональная информация </h1>
<h2> Организация (и): </h2>
<p> Отдел народонаселения Департамента по экономическим и социальным вопросам (ДЭСВ) </p>
<p> Фонд Организации Объединенных Наций в области народонаселения (ЮНФПА) </p>
STAT_CONC_DEF <h1>Concepts and definitions</h1>
<h2>Definition:</h2>
<p>The percentage of women of reproductive age (15-49 years) who desire either to have no (additional) children or to postpone the next child and who are currently using a modern method of contraception. The indicator is also referred to as the demand for family planning satisfied with modern methods.</p>
<h2>Concepts:</h2>
<p>The percentage of women of reproductive age (15-49 years) who have their need for family planning satisfied with modern methods is also referred to as the proportion of demand satisfied by modern methods. The components of the indicator are contraceptive prevalence (any method and modern methods) and unmet need for family planning. </p>
<p>Contraceptive prevalence is the percentage of women who are currently using, or whose partner is currently using, at least one method of contraception, regardless of the method used. </p>
<p>For analytical purposes, contraceptive methods are often classified as either modern or traditional. Modern methods of contraception include female and male sterilization, the intra-uterine device (IUD), the implant, injectables, oral contraceptive pills, male and female condoms, vaginal barrier methods (including the diaphragm, cervical cap and spermicidal foam, jelly, cream and sponge), lactational amenorrhea method (LAM), emergency contraception and other modern methods not reported separately (e.g., the contraceptive patch or vaginal ring). Traditional methods of contraception include rhythm (e.g., fertility awareness-based methods, periodic abstinence), withdrawal and other traditional methods not reported separately.</p>
<p>Unmet need for family planning is defined as the percentage of women of reproductive age, either married or in a union, who want to stop or delay childbearing but are not using any method of contraception. The standard definition of unmet need for family planning includes women who are fecund and sexually active in the numerator, and who report not wanting any (more) children, or who report wanting to delay the birth of their next child for at least two years or are undecided about the timing of the next birth, but who are not using any method of contraception. The numerator also includes pregnant women whose pregnancies were unwanted or mistimed at the time of conception; and postpartum amenorrheic women who are not using family planning and whose last birth was unwanted or mistimed. Further information on the operational definition of the unmet need for family planning, as well as survey questions and statistical programs needed to derive the indicator, can be found at the following website: <a href="http://measuredhs.com/Topics/Unmet-Need.cfm">http://measuredhs.com/Topics/Unmet-Need.cfm</a>.</p>
<h1> Понятия и определения </h1>
<h2> Определение: </h2>
<p> Доля женщин репродуктивного возраста (15-49 лет), которые желают либо не иметь (последующих) детей, либо отложить рождение следующего ребенка и которые в настоящее время используют современные методы контрацепции. Этот показатель также соотносится с потребностью по планированию семьи, удовлетворяемой современными методами. </p>
<h2> Понятия: </h2>
<p>Доля женщин репродуктивного возраста (15-49 лет), потребности которых в планировании семьи удовлетворяются современными методами, также соотносится с долей потребностей, удовлетворяемых современными методами. Компонентами показателя являются распространенность противозачаточных средств (любой метод и современные средства) и неудовлетворенная потребность в планировании семьи. </p>
<p> Распространенность противозачаточных средств - это показатель , отражающий долю женщин, которые в настоящее время используют или чей партнер в настоящее время использует хотя бы один метод контрацепции, вне зависимости от используемого средства. </p>
<p> В аналитических целях методы контрацепции часто подразделяются на современные или традиционные. Современные методы контрацепции включают женскую и мужскую стерилизацию, внутриматочное устройство (ВМУ), имплант, инъекции, оральные противозачаточные таблетки, мужские и женские презервативы, влагалищные барьерные средства (включая диафрагму, цервикальный колпачок и спермицидную пенку, желе, крем и губку), метод лактационной аменореи (МЛА), экстренную контрацепцию и другие современные методы, которые отдельно не включаются в отчеты (например, противозачаточный пластырь или вагинальное кольцо). Традиционные методы контрацепции включают способ контрацепции, основанный на использовании бесплодных периодов менструального цикла (например, методы, основанные на осведомленности о фертильности, периодическое воздержание), прерванный половой акт и другие традиционные методы, которые отдельно не включаются в отчеты. </p>
<p> Показатель неудовлетворенной потребности в планировании семьи определяется как доля женщин репродуктивного возраста, замужних женщин или женщин, состоящих в консенсуальном союзе, которые хотят прекратить или отложить деторождение, но не используют какие-либо методы контрацепции. Стандартное определение неудовлетворенной потребности в планировании семьи включает в числителе плодовитых и сексуально активных женщин, которые заявляют, что не хотят (больше) детей, или которые заявляют о желании отложить рождение своего следующего ребенка как минимум на два года или не определились со сроками следующих родов, но не используют какие-либо методы контрацепции. В числитель также входят беременные женщины, беременность которых на момент зачатия была нежелательной или несвоевременной; и женщины с послеродовой аменореей, которые не используют методы планирования семьи и чьи последние роды были нежелательными или несвоевременными. Дополнительную информацию об оперативном определении неудовлетворенной потребности в планировании семьи, а также вопросы, включенные в обследования, и статистические программы, необходимые для получения показателя, можно найти на следующем веб-сайте: <a href = "http://measuredhs.com/Topics /Unmet-Need.cfm">http://measuredhs.com/Topics/Unmet-Need.cfm </a>. </p>
SOURCE_TYPE <h1>Data sources</h1>
<p>This indicator is calculated from nationally-representative household survey data. Multi-country survey programmes that include relevant data for this indicator are: Contraceptive Prevalence Surveys (CPS), Demographic and Health Surveys (DHS), Fertility and Family Surveys (FFS), Reproductive Health Surveys (RHS), Multiple Indicator Cluster Surveys (MICS), Performance Monitoring and Accountability 2020 surveys (PMA), World Fertility Surveys (WFS), other international survey programmes and national surveys.</p>
<p>For information on the source of each estimate, see United Nations, Department of Economic and Social Affairs, Population Division (2020). World Contraceptive Use 2020.</p>
<h1> Источники данных </h1>
<p> Этот показатель рассчитывается на основе данных обследований домохозяйств, репрезентативных на национальном уровне. Многострановые программы обследований, которые включают соответствующие данные для этого показателя: обследования распространенности контрацепции (ОРК), обследования демографических характеристик и состояния здоровья (DHS), обследования рождаемости и семьи (FFS), обследования репродуктивного здоровья (RHS), Кластерные обследования по многим показателям (MICS), обследований контроля эффективности и подотчетности 2020 года (PMA), Мировые обследования фертильности (WFS), другие международные программы обследований и национальные обследования. </p>
<p> Информацию об источнике каждой оценки см. в документах Департамента по экономическим и социальным вопросам Организации Объединенных Наций, Отдел народонаселения (2020 год). Мировое исследование использования контрацепции за 2020 год. </p>
FREQ_COLL <h1>Calendar</h1>
<h2>Data collection:</h2>
<p>Data are compiled and updated annually in the first quarter of the year. </p>
<h1> Календарь </h1>
<h2> Сбор данных: </h2>
<p> Данные собираются и обновляются ежегодно в первом квартале года. </p>
REL_CAL_POLICY <h2>Data release:</h2>
<p>Updated data on the indicator are released by the Population Division in the first quarter of each year. The next release is expected in the first quarter of 2020. A comprehensive compilation of data and model-based annual estimates and projections up to 2030 at the national, regional and global level are published annually by the Population Division. See: </p>
<p>United Nations, Department of Economic and Social Affairs, Population Division (2020). World Contraceptive Use 2020. New York: United Nations.</p>
<p>United Nations, Department of Economic and Social Affairs, Population Division (2020). Estimates and Projections of Family Planning Indicators 2020. New York: United Nations. </p>
<h2> Выпуск данных: </h2>
<p> Обновленные данные по показателю публикуются Отделом народонаселения в первом квартале каждого года. Следующая публикация ожидается в первом квартале 2020 года. Отдел народонаселения ежегодно публикует всеобъемлющую подборку данных и годовых оценок на основе моделей и прогнозов до 2030 года на национальном, региональном и глобальном уровнях. См .: </p>
<p> Организация Объединенных Наций, Департамент по экономическим и социальным вопросам, Отдел народонаселения (2020 год). Мировое исследование использования контрацепции за 2020 год. Нью-Йорк: Организация Объединенных Наций. </p>
<p> Организация Объединенных Наций, Департамент по экономическим и социальным вопросам, Отдел народонаселения (2020 г.). Оценки и прогнозы показателей планирования семьи на 2020 год. Нью-Йорк: Организация Объединенных Наций.</p>
DATA_SOURCE <h1>Data providers</h1>
<p>Survey data are obtained from national household surveys that are internationally coordinated&#x2014;such as the Demographic and Health Surveys (DHS), the Reproductive Health Surveys (RHS), and the Multiple Indicator Cluster Surveys (MICS)&#x2014;and other nationally-sponsored surveys. Systematic searches of these international survey programmes, survey databases (e.g., the Integrated Household Survey Network (IHSN) database), SDG national reporting platforms and ad hoc queries in addition to utilization of the country-specific responses to questionnaires on data administered by UNICEF (Country Reporting on Indicators for the Goals (CRING)) and information from UNFPA field offices.</p>
<h1> Поставщики данных </h1>
<p>Данные обследований получены из национальных обследований домашних хозяйств, которые координируются на международном уровне, таких как Обследования демографических характеристик и состояния здоровья (DHS), Обследования репродуктивного здоровья (RHS), Кластерные обследования по многим показателям (MICS) и других обследований, спонсируемых на национальном уровне. Систематический поиск этих международных программ обследований, баз данных обследований (например, базы данных Комплексной сети обследований домашних хозяйств (КСОДХ)), национальных платформ отчетности по ЦУР и специальных запросов в дополнение к использованию ответов по конкретным странам на вопросники по данным, администрируемым ЮНИСЕФ (Страновая отчетность по показателям достижения целей (CRING)) и информация от отделений ЮНФПА на местах.</p>
COMPILING_ORG <h1>Data compilers</h1>
<p>This indicator is produced at the global level by the Population Division, Department of Economic and Social Affairs, United Nations in collaboration with the United Nations Population Fund (UNFPA).</p>
<h1> Составители данных </h1>
<p> Этот показатель разрабатывается на глобальном уровне Отделом народонаселения Департамента по экономическим и социальным вопросам Организации Объединенных Наций в сотрудничестве с Фондом Организации Объединенных Наций в области народонаселения (ЮНФПА). </p>
RATIONALE <h2>Rationale:</h2>
<p>The proportion of demand for family planning satisfied with modern methods is useful in assessing overall levels of coverage for family planning programmes and services. Access to and use of an effective means to prevent pregnancy helps enable women and their partners to exercise their rights to decide freely and responsibly the number and spacing of their children and to have the information, education and means to do so. Meeting demand for family planning with modern methods also contributes to maternal and child health by preventing unintended pregnancies and closely spaced pregnancies, which are at higher risk for poor obstetrical outcomes. Levels of demand for family planning satisfied with modern methods of 75 per cent or more are generally considered high, and values of 50 per cent or less are generally considered as very low.</p>
<h2> Обоснование: </h2>
<p>Доля потребностей по планированию семьи, удовлетворяемых современными методами, полезна для оценки общего уровня охвата программами и услугами по планированию семьи. Доступ к эффективным средствам предотвращения беременности и их использование помогает женщинам и их партнерам реализовывать свое право свободно и ответственно решать вопрос о количестве детей и промежутках между их рождениями, а также быть информированным, образованным и иметь для этого средства. Удовлетворение спроса на планирование семьи с помощью современных методов также способствует укреплению здоровья матери и ребенка за счет предотвращения нежелательных беременностей и беременностей с коротким интервалом, которые подвержены более высокому риску неблагоприятных акушерских исходов. Уровень потребностей по планированию семьи, удовлетворяемый современными методами, составляющий 75 процентов или более, как правило, считается высоким, а значения в 50 процентов или менее обычно считаются очень низкими. </p>
REC_USE_LIM <h2>Comments and limitations:</h2>
<p>Differences in the survey design and implementation, as well as differences in the way survey questionnaires are formulated and administered can affect the comparability of the data. The most common differences relate to the range of contraceptive methods included and the characteristics (age, sex, marital or union status) of the persons for whom contraceptive prevalence is estimated (base population). The time frame used to assess contraceptive prevalence can also vary. In most surveys there is no definition of what is meant by &#x201C;currently using&#x201D; a method of contraception.</p>
<p>In some surveys, the lack of probing questions, asked to ensure that the respondent understands the meaning of the different contraceptive methods, can result in an underestimation of contraceptive prevalence, in particular for traditional methods. Sampling variability can also be an issue, especially when contraceptive prevalence is measured for a specific subgroup (by age-group, level of educational attainment, place of residence, etc.) or when analysing trends over time.</p>
<p>When data on women aged 15 to 49 are not available, information for married or in-union women is reported. Illustrations of base populations that are sometimes presented are: married or in-union women aged 15-44, sexually active women (irrespective of marital status), or ever-married women. Notes in the data set indicate any differences between the data presented and the standard definitions of contraceptive prevalence or unmet need for family planning or where data pertain to populations that are not representative of women of reproductive age.</p>
<h2> Комментарии и ограничения: </h2>
<p>Различия в плане и проведении обследований, а также различия в способах формулирования вопросов и проведения обследований могут повлиять на сопоставимость данных. Наиболее частые различия связаны с диапазоном включенных методов контрацепции и характеристик (возраст, пол, нахождение в браке или в консенсуальном союзе) лиц, для которых оценивается использование противозачаточных средств (базисное население). Временные рамки, используемые для оценки использования противозачаточных средств, также могут варьироваться. В большинстве обследований нет определения того, что подразумевается под термином "в настоящее время используемый" метод контрацепции.</p>
<p> В некоторых обследованиях отсутствие направляющих вопросов, задаваемых для того, чтобы убедиться, что респондент понимает значение различных методов контрацепции, может привести к недооценке распространенности противозачаточных средств, особенно традиционных методов. Изменчивость элементов выборки также может быть проблемой, особенно когда распространенность противозачаточных средств оценивается для конкретной подгруппы (по возрастным группам, уровням образования, месту жительства и т. д.) или при анализе тенденций в динамике по времени. </p>
<p> Когда отсутствуют данные по женщинам в возрасте от 15 до 49 лет, то представляется информация о замужних женщинах или женщинах, состоящих в консенсуальном союзе. Иногда приводятся примеры базисного населения: замужние женщины или женщины, состоящие в консенсуальном союзе в возрасте от 15 до 44 лет, сексуально активные женщины (независимо от семейного положения) или когда-либо состоявшие в браке. Примечания к набору данных указывают на любые различия между представленными данными и стандартными определениями использования противозачаточных средств или неудовлетворенной потребности в планировании семьи, или когда данные относятся к группам населения, не репрезентативным для женщин репродуктивного возраста. </p>
DATA_COMP <h1>Methodology</h1>
<h2>Computation method:</h2>
<p>The numerator is the percentage of women of reproductive age (15-49 years old) who are currently using, or whose partner is currently using, at least one modern contraceptive method. The denominator is the total demand for family planning (the sum of contraceptive prevalence (any method) and the unmet need for family planning).</p>
<p><img 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<h1>Методология</h1>
<h2>Метод расчета:</h2>
<p>В числителе приводится доля женщин репродуктивного возраста (15–49 лет), которые в настоящее время используют или чей партнер в настоящее время использует хотя бы один современный метод контрацепции. Знаменатель - это общая потребность в планировании семьи (сумма использования противозачаточных средств (любого метода) и неудовлетворенная потребность в планировании семьи).</p>
<p><img 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77q3LqIb4tOCUpH2XHGnz+U5U/ePjqMfSmVL1d16s+qctXkdVPdtpLI7/8+vX79i8qVn6/p/S+vzMTtn1c2bCgqn021mTdzFlSgKGGDJBgYhbwT8bKKOa8iVyg6MPpKRxVBET9v1cHWn5CWXXT79SyqJL26+ePTlHewjPyylTdlB+m8g2zROvvKvWzZRSepeXmkee08gzT+Uj+OVj8HU7u/+7LsT46KTmj8fl2275X9XpHU79j5bFDDhr1wUZn2+5lv/NC6xjpA+1VePVFUR0je/DHob/a7So//fU2X8SeNSm/eCZw/WdZyi+oJm2ZfX+jkT9tVaVVcoV8+7fotnydaF20zny+at+pE1c6v5TbBlheloUzeBVzVsc6uZ9F+Nsx8s/PaoH0q7s8qN1q2lmXn8b+lNMXf0v8+P6ryT+tjf0Nxu/9GWrbf58vOEex8Nmjb2uOcft8vV+s4COWdXV7RNo58Hivk5UGkvLDz5uWD3b99sNtMafX1hkLZ78uw9+sqdv20fK2D/W3RdvbbVtNl7Lw2T1RutC7aP/Rb2qb+92RY5TmVXZ7yKEXKd7QOdr68tMaypO1RVH7sdlMo4uezQX8bpPz6ZassazmWtrM9Diju5+mH/12VUbtcrZfS59en7DxrGHmlee18Wv8qKvt2uYOU56J1Upr0t5hn+s28Y45Pu63ztb4+D8rSqt+yZUHBpiHStG84q6r7fR2Qyn8vBq2X1i+mTds+rzEvlok8vg5T0O/5sqoy6Y8DCmXni/pdv2xfl+bV2zYMKm97xjrL5ovSpO3s01u1Lyhf7Pxl+25dflvG7W3Trd/TfDHdyss84zjH9Puifstva/1WGZ+/SnMK/z27XVUGlS7No+Xl5Zn9blN1t5Zh51Xw20DxeFyN8+Tx21PrlLeN/DFAy7XrYZXlWawTIqXT18UKdl08raudtyyvLP+9MsMq5z5vbMir0/yyla4mKN12uXHZNi+1fZWGvHrVbkPPzme3vfZj/a5+Q+XJr28dNk2K+/pMac/bNtqGRWz5sOlWUN2odGu9Fc87Xg1jX0o1zHJl80XfU/r9dssrJ5rO44+jKetu80vr4/n1t+XYGmY++WVrPf3217R+J86j9aqzDwzSZj74WVAJGvMxX/kTA+2UZZWSKgY7v0LVgdnu9ApF7HypBwZb8ZZdaPj1LKokvbz8qaq0fCWfR+tmK/aqfI98Rat8yuPzvCrN+m2f7rw88r9fdLJXhLqyHZroBBV/kpBSZvLmiap+L0/qd+x8MajM5+13fv+0QSfXeXxdkXeiHPl5FZSXRfup0uPzuigdPr+r6mdfp+skN09emlPqwzp82lOWn3fxUcbOq3VqgvLMLld5WiSvXOmzIqpj7bx522fY+Wbni6GoXPm0xFCWJr9vluWfnTdlPe1xrSyf4zw2lO07KcfLOvwxu+h8QOtr54uhbPuprrDz5uVZ3f3b1xtlde8o9usq2m9UhxbVm5Yvj2XnOXa+GMrKjTes8pwqLkshtT5M+Y4tz0pzv3y5LDLM8muPvWXzpdTVdWkdVJ6qzrX9PlZWBoeVV36frSrLOkey89e9nrDqrpPfx2Moyjefv2Vl2qelqs7x+VCWbz7dqfLWV+tQdJzxadI6FfHLrqr/tH7aNvY7Revsy1TZsv1xLoZB+e1Zlm+iv9l6WqGsLvBla9BzicjXR8rzsn1Mf9O2zDvWDvsYbueLoWxb+/wtyzOf9rKybPnvxZByDiHKI61Dk3W3vw4sO1dWOdR+rHR4dX5T/DGgqDzn5Zl+vyzPfDkpS4vfF/V7Kfz3ivj0N1nO8/JGoShvVG70+3beQalM+GVWlWdfr+aVp8jOF0NV2apL+at6qmrb+3XVvlPElw+FlG0vfrs2tS+lGma5avq6Scuz81Qt1+dV3vx+/YvKxTDzydYB+k7Z+YGtw8uOidJUm/ngNUeJokTS4I+28xV/SoVv5y+7EIxSTlpUYdh5yjoQLF+hFlU8TZ04peSP/07egcBX7PpOqpQDjf17yjYSn6a8PNL623nqpFtsnUj9OFr95Lcta4p7Onmw5SFvHn/iUbbvVf1entTv2PlSlu8bgRSqTtjsCVPZ8n0dUdWoIj4fi5avk6o4j062qpYrNm+K6gufZoXUejSV30Ypy9f6+RPVvDoxsvPVrb+K6Pfscosugvw2tKHo2OKPcXnrNux8s/MoVOWbb6DS75QdO1OPK36+lItHn+c6zuWx8yjUvZAdtCz5urSorsnbDxWUx0V8nZDHL7dqm4nfzkVGsV83KeVcKLLzKRTVy3mGWZ5T2WWlluGU79htPkgjmC+XRYZVfn3dXpXfdr3rlIUm2PUp++1h5ZUvm1XXcXUag6rkrVPZuY/fxxWqyqmtRxWK2HorZb18XVeWb7Z8KaTy39P2LMsf/c3OX1Se/DZPLfN+exXlvc2XlPNZlWP7HYVB+G2jeFUaxOdL0XFX/LyaboLytKnl+vKTsiyfdwqp55hNnn/5/C2b1/Lfq/PdulLqbn+OOEhahnWd6PNM27/q2JJXTor4eiO1TPvvFRlmOc8rT1VtCr4dInV9i/h8SC1DPl+K0m3nUSgqy6Pi86+IzxeF1Lwe1r6Uqg3lSlKum5Q3dp6q8yN7DNM+lsevf9G6DDOf7Lls2fmbpNZF0lSb+f+Z/aGh+e53vxtiwPx20003hViaq6++OsSK3XjjjSFW7OOPPw6xrq997WshVu6GG24IsS6/nKbVzR/59NNPQ+yyt99+O8S6Zg+IIVbtrrvuCrGu//mf/wmxrmPHjoVY14MPPhhi5b7whS+EWDGt/2xlH6aybMuWLdmGDRuyM2fOhE8wH/zqV78KscFo29uye+TIkezQoUNhqr1Uhl955ZUwlc/XQbMnNp31LXPbbbeFWDcvUr366quVdemqVat69r285Z8/f76zrGj2BDOpjr7//vtDLMvef//9znKqzJ7IddLUFP2mXSeVq5Tla/2eeuqpMNX13nvvhdhoLF26NJu9kAlTWfanP/0pxHr98Y9/DLG5df5vfvObEOv1+uuvh1jW+Q39ljXqfFOZ2rx5c5jK5485L7/8cumx0//tzTffDLFePo8eeOCBECumvJi9eApTc4+9ebSOu3btClP51q1bF2Jdf/vb30KsP3fffXeIdf35z38OsV6vvfZaiPWWoYsXLxbWvb5OSPHWW29Vnu/47Zx3HjAf9+uUc6E8KmdVxxVrVOV5HK666qoQy7L9+/d3ysEoNVV+/fl7Vdnw5+ejlHKsz9NUXqls2nOU3bt3h9hcqqtOnz4dprLsvvvuC7FmaJ3K8sPX3zq2VtX5t9xyS4h1+Wst0XqpLo7+9V//NcSKKZ333HNPmCo+f2iKttHhw4dL80d/s8eXU6dOhVgve04jTz/9dIiVe+SRR3rqsbx1Vv7avEw5n1U5npqaClODe/fdd3vSoGNSVRpE+4LNP5X1UV8n2zzVNk857uYZxznmqM+/Umi9q859+5VSpvw5Ycr5Qh5tz1FdJ2o7Vh1b9Nv+2jqvbh22UZfzPXv2VLYp+HaIv//97yHWH3v9oPpX9XAKX68XXZ9Ydc+Hh+HKK68MsXpS2zdGuS+lGke5kpTrJuWNvQZV3hUdF5UnunaIqtapribzyZ7LVpW5O+64I8RGZ6idoE01KAOTKKVifOedd0Ks63vf+162du3ayqD52ialgvvggw9CrKvqJNHyy//www9DrOvzzz8Psa6mK9zf/va3Idalg5gusHQwqeoA44aRyeNPjp944okQa6/ly5cnnahaKSfTt956a4jV4zu2itiGMjl58mSIdY3yZpKmGwPU2GTZi4Qqvo777//+7xAbHdtIrBNiv23ENko9/PDDPRcDeY2A/qL8O9/5TohdNup88w3BKVLOAWwnchF73FQDReo+bG9O8MfePP2s46ANnFoX22hqL/4ilQddMEdqYKrqEPPH5G9+85shVq7OOUmUd8PXfN+v60htII9GVZ7HwXZqqRPh+uuvzy3Tw9JU+b3iiitCLE3RDRxt1lReyaOPPhpi5Tdm/OEPfwixbmNp0w1cddcpZd9LuaHXX4/5zpoi9phj6/hh6Of81zbyWfa8RdsxtaNNv2/rMS3fNwT7doHU89l+G77zDPOG5WFSXtpt5q8d6pgP55ij6GBO7eAfluPHj4dYt1M79brRG+V14he/+MUQK/fVr341xLr8vj8Koy7nPj9TnD17NsTq89cPqhNSjwO+XrdlsUjd8+E2SW3fGOW+lGrU5aouf2PYG2+8EWK99Lm9Aemxxx4LsWY0mU/2OrxKnbqtqTbzoXaCFqHBH+iPDtRq/K0Kw75YnI/8RXjT1Lhw4sSJnju+RZ2h9957b7ZkyZJs586dcy5oxd4wQv04WsPKb50c284cXXjv3bs3TC0sTTa+5Pmnf/qnEOv6xz/+EWJd8/lmEl9v1TlB9Rdo4+gY8I1jv3FPefkLUDUA2o4C/c035PiLA/+0oMz3fItSLpZ1zI90p3VeWc4Lw3qCsE6DaArb6JLXgWAbaWIjmO08sHckR7azQd/pp8OjiG/4ydPW8qmbFHSc2rZt25zyMqr6sG3luUkql/a8QOV548aNnQ4YnR+O+qmoPCnlV/uLbeAou+lZ62S3adNPheoYojpB+af8HWW5SMkr8U8n2frHGuYd/sOScjOP7wT326goPP/88+Eb7ZFSfv05TR1++b4h+LPPPguxLn88GAV/zKlz/PT7zLCvzS2fl/7aoY62HsObPv8apibqbruv6TjarzZeJ6Z2lg5TG8t5k3WerxPq3mxg97c2tb3qqWHtV5s2bZpTZod9XJ2vbS79lqsmrpt0Y5g9p37hhRdCrNfvfve7EGv+2jVVaj7Zm4xU5vLavyNbJquOYU21mY+lE5QnRIHRUSX55S9/OUxhmHQw0uuR9u3bN+cJHjV26TW5uvM/72moiPpxtIbZAb1jx44Q6/rhD39YehKA0dCFSrxhpCy06YJmvlKdaG8M8U922g7N+Fpb32joOz3tRUDeq3AXMh1n8spyXrB3k7aZ7+T2T6HYDoXYwWTvoM97Atl2NthOqYVKjSVqQLz55puzxx9/vHPs8uVlHPXhJJZnlT29Rt5SGdX5oepKNZyM47V3ddlX3elGAzUA+fMbrYffv/p9XaGnfVoN59dcc03nRkPln9LRxnKhY5TNB70S1+eVOgNsWpu+w79N/DYqCvapPXSN86YsoAnzoe7mOhHzjc4p1Omphy5Wr17d2a90ruHL7KiPq5O6LzV93WRvfNP3/E2R2r72pl77hpE2sm2qKnPf+ta35qyTprXetkzqjWCpBmkzZ0xQYB45evSoRguuFdQpN19fvTAI//TZsJ9Gs1Sh67UYqtTV2GXv7tFJ/Z133tmKO/7Rq+kOaDV82cZObfsXX3wxTGE+4WaS/tnGX39ib8dQiXcNar+xN5HY8T/FdqT6MdnQnzqvuBo1Xx78k522PPzf//t/O//7jlNdjEZqgLONa6mvappEuqheuXJlp7Fkkjoc2lyeZfv27Z381jh9/pVRKqtqwFJjVpvp1Wg27WoAUqN2vANejUNaD9sIpDGlmrhpRR3JanjydUGb+fE9/c09w3w6fRJwswow/83HujsV14kYF13X6CELdXqO8+aBprR5XxrWdZO/8e3AgQMh1uXPGZu6oXBY9MSoPW/TtY22q/JO1wj6X9P2WKCnQG1n8DAxJijQYn6sFT+u5aS56qqrQqzLP71Rxr9+wb+yw0/Xef94v9TYo8auTz75pNPYFekE5T//8z/DFDeMTLLvf//7PQ2FP//5z+c8AYDRWqg3k/j6dVT8eIv2RN4+kWc7o+w4nzpxjvuMf1pmFK/+Gle+9UP5kVd+q0Lbnzqy5UEXnfHcQP/bi9A41pz2VXvx9dprr4VY7yuZVTc3+WqtcRikfOrOXNtJpQvSPXv2dF7t78uI6s1Rm9TyLDo/1Pi1Fy5c6Lw9xNdlaszS05VtpbTlNbapvlaw+6X2M5WrJsbM1tOleoWwpfPrgwcPZufOnZtTFkZxjEihhh17LvjSSy+FWLdRTds7avsd/oPy2ygl2HOFhcSPvzufzkdSjPIG5baatG1aZD7V3Tx00LxJL+f2+D5KOn/QwxX+2ljnlToP8+VUN6ON0qTtS8O6bvJvzvKvLbbnjNq+TdxQOExqr8m72UV5p2sEm4eih0ZeeeWVMFWsqTZzxgQFWuxLX/pSiHX518ANqm0XHzqIW3/5y19CrJpt5BR/B9G1114bYl1//etfQ6xcEx3POpCrscs+zWKfXhnmK1lRbtj5rW1vXxunk1SeBm2W35f9vj6fbybxdfRHH30UYtX8KxXrjnXSFH9iH5/stE/k+c6or3zlKyHWFTtO7TFQyyx6WmYS8i2VPa5M6g0WRU922nME/6SQPZ/QxVZ8Atkee0d1x6nXhvKp/S/mo+iiWuOrqgNxnE+hLYTy7KkcHj58uNNgYhvS9HRlG98aojTF1/0rvWpoUwOG3XaiMqXGIe1/TXVM+xus1YCu82vdANH2Bmh7M6T2vbht59sd/nXdeuutIdY16fu13Yfrjknrx0/1dbGv7/3xYBR8Z0aTNywPk+9Q9uOr1rGQzjGbMoy62+5rg9QrbbxO9GXquuuuC7HRmfRy7uuE1LbByJ5D1x3/uSl6YtB2gOpcTOeTOq8cR0fZJD/AM+zrpieffDLEem/41bmi/d06r4wdlyeeeCLEuh3huhZQflm6ZlB5VQeyHhpKOQ401WbOmKBAi+ngZRuP88aRGcQoLz5S+IbvZ555JsTK6UTL3lGixlBfkfq81N0pVY1LOvh8+9vfDlODs69utHfJW9SPo9XUwbSMnn6wZU9Pg/79738PU/XUbVCZz1LrOtupoQtif9I/7JtJhsnXiW+99VaIVfvjH/8YYl3+wmSU7AD5OpHXtrUn9Pbv4jtO42tz7V2FZa/Hm5R8S6FXykQ6Dk5iA7M/fsebnuyrkv1NVL7jVHWnjvn2XOHrX/96iI1WG8qn3f/k6aefbkUnUtvKc91GsUHoRpCXX345THW18ZhvX9Oljj3tn2rA0DAQ9i54NcSpccgfkwfhX50Vn/6eD/xbEWI+2nGutU5N5lcb/PM//3OIdanRsElte8LIns+ocTq1k9CfF/mbCsR3hKR2SgzS4ecN84blYfKN1HlPqaSa7+eYvvNnFIZRd9uOJ50vVLXrFBnldWJqp5AvU0X7iu+obNKkX0upTrAd6bY9oYqedLP8zT6j4oeM0bnYOM3nNpcqw75u8tetvwlvLrI3yqm8+vnaRu3ysZ1b5zG6ttG1gK4J7DWCrhlUXvvtQB6kzZwxQYGWs3eF6GJK79EeVqOQP2EZNVWC9i4RVaBV4yLp4vIb3/hGmOoqqnv8K6bKlq0K3L9eooiWo+1SdfJtX23g74bB+A2zA/qnP/1piHX3Y504pbINYikNKnptmD9Rm49S6jqtq91H857s8h0oTd9MMkz+Ai3l5g3R+tnX62kZ42ws9p1NOqG3jWF+vDSxnZzazir39uYR36BsTUq+pfjqV78aYl2T+qS5LQ9q7FJ5sPWcvyjUfm8bkdXR4C8kx7Vt21g+qxqjR3U3dxvKsz1epDSKNTl+p9+eZ8+eDTF4KY2ObTrWa7+3dZKuCZQ+2zkwH+7wr8s/IfPss8+GWDPa9oSR7yTcu3dviJXzdZ19DXzk8zLlZmGdP8Unt5vgO0aavGF52Ox5hM4n/dNqqeb7OabSP05N1d1+/G8/jl6qUV4n6ub6qut4lSV7XFDairbZMB9omO/lPIW/aSX11ev+OFZ2TToqeTfOeE3eEJNnPre51NX0dZPyzrYPx33ohRde6Pwvaudqww2r8x1jggItpzsn7EFNFxC3335756LKn0TpIKMTev1NleSSJUtKD+a+8lZla+9sUjz1ZKAp/l31SpOeDFA67EFU675z5845HZV6rL5ojK9HHnmk52RODajqaLHrrOWqQWv16tWXlmu/k0cnhFqWDvr6rr2oUpq1fP2ObcC3J+7cMDL5tD/a/diWhSq+UfhnP/tZiM2l8ufHXJmvVNeV3VwQ91XroYceCrFeo7yZpGn2dcqiRpyytOtvWj9bL/pljJoufm09qrEtbGNY3muE7AWl1mXLli1hqrxBIJqEfEuhusXmrfJp1MftUfANDL486OLRs43Iaryxd0zn3TAxSuMun/7pAf9KTkt1bZNvxSjThvLsG8WKOjG0TXR+ahv7iug4pnPyqg4Rv6533HFHiLWHLTvqXNE6lZXdJtmyYRuJ8+j8wB5n2uDf//3fQ6x7HviLX/wiTHXXre13+PdDdbPtfNL1kj93a5J/QmfU9DpjW05VP1TVYfq7Pabp+3mvRfaNpCpDuhYuon2z6WsCnXsN84blYfI33Ommg6rjrsY/tm8oiCbpHNM/oTsMw6i7fX2pfUhlrYz2CR2L/bYa1XWilq22q6J6Sr9p60upM0500w80TFI5z+PrIZW9qjKkeexNmKoPx3VjgX0TgvaZsk5qHWeavCGmyHxucykziusmeyOc8k71la0Lx/UGozrsmwaUdu0vKTdPpGjsvGFmiJ577rkQA+aX6enpGe0eMaSw888eDMOnxY4ePdrzHU0XOXHixMzsyWPP/KlB61Jm9mQm93sx5K1LP/lTZ3337dvXM29qmJqaCksoVnfZml95EKfz0l2Vhz6sWLEifLOLurIdUreDLQ8p+3rk9wEbyvaHc+fOzdn/VeZUL8S/q5wuW7asZ54YytJYd138OlTVL5JaX/j5YtC662+nT5/uzBfXNy9Pymi/s/Mrv/bs2XMpHyMtX+upv2mZ+h39Xp5+6sK6lB6/bZUmpS/miSieVw58fZPHzp+yTfuh+tn+Tgxl6fPbOIatW7eGOYoNO9/svCl55stK2T4fpe6fBw8e7Fm2gvJbnysfLJV3fa481DpqvYvY5aWWi7p1Sh1+G8VQVB60rnnzKygPqvSzf/s6smg7j2K/LqPl2uXpt31alUblQd5+WFZ+7Xyp5cYaVnlO5behgtYjbhf9X5QvcV7PLlNp1Da121nr4ZepeB7NF+dRKJI6n+XXPW87axsor+18Pujv2v9jUFr8sbYf/jiiaV8mlGZbD8VQVh8NK688pdV+xwatS5P6WSc7f1l+Ral5oLLu9xct3+8HomktR+mP29HPY/n6QmUvljXlt34jL122jKSsq6TmqepxO5+Czif9cUfp8mVawc9n+TxX0DLs/qXv2/XzeT8o/ZZdnoLyXXlt98e8ek2h6hzOr2Pe9uuXzRcFpS2vPlYabbo9recwj+F2XuVhijpl2tfhSnfcdnG7eYNsl1HV3Qr6zO4P2gZaP7sN8tLu80Tz63t2WaJ06/v6W9V1os8zG/L227w0+Hyy9Dc7v9Ji6w/F89Lm862Ilj+scu7zJm+b5LHfSd03ymgb2mUqaP+320b54OtVBeWFzQfPzttEWj3luf0N5bdPj6bzjjMKRVLLR5Fh7EuphlWulI92HqXVL1vro+/qb3ZehZR06Pv2uzauPEyRuv6p83n2O0Vluqi8xaB10b4Ug/Y3W28VaarNfPCzoBJFiaTBH23XT8Vv5y87WYvqVjyqFPMO0lWhqkJRhZ5XUceQty795E/d9dXf/YlUUVD6dfBMpYNr2Tor6LfjgVp5ED/PS7fm8wf7oqBtqG1p2TqR+nG0+slvWx5S9nXLfteGqv1B5Tvve3lBZVEnE3G6LI1118Xvx0UnP1ZqfWHnU1qqTqBs0Dr7/crTflq13xeFovXspy7sR79pT8kXsd9J2ab90LHI/k4MZY1hRWUg5URZhplvdv6UPPNlpWqflzr7Z539xYcidp7UclG3TqnD1ms2lJWHovOIlP2in/3b15Fl23nY+3WVvPy0F6b2c6XT5mXZetnv9VufDKM811HnfFtptfmVt87a1vY7KaGoXKeWy2GWX5W/1HN0G5RPg5TdomuWWGZ9mrSv2HmKDHtftwY9rqXqZ53s/GX5FdXJA99YW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IMPUTATION <h2>Treatment of missing values:</h2>
<ul>
<li><strong><em>At country level:</em></strong></li>
</ul>
<p>There is no attempt to provide estimates for individual countries or areas when country or area data are not available.</p>
<ul>
<li><strong><em>At regional and global levels:</em></strong></li>
</ul>
<p>In order to generate regional and global estimates for any given reference year, the Population Division/DESA uses a Bayesian hierarchical model, described in detail in: </p>
<p>Alkema L., V. Kantorov&#xE1;, C. Menozzi and A. Biddlecom (2013). National, regional and global rates and trends in contraceptive prevalence and unmet need for family planning between 1990 and 2015: a systematic and comprehensive analysis. The Lancet. Vol. 381, Issue 9878, pp. 1642&#x2013;1652 </p>
<p>Wheldon M., V. Kantorov&#xE1;, P. Ueffing and A. N. Z. Dasgupta (2018). Methods for estimating and projecting key family planning indicators among all women of reproductive age. United Nations, Department of Economic and Social Affairs, Population Division, Technical Paper No. 2. New York: United Nations.</p>
<p>Kantorov&#xE1; V., M. Wheldon, P. Ueffing., A. N. Z. Dasgupta (2020). Estimating progress towards meeting women&#x2019;s contraceptive needs in 185 countries: A Bayesian hierarchical modelling study. PLoS Medicine 17(2):e1003026. </p>
<p>Country-level, model-based estimates are only used for computing the regional and global averages and are not used for global SDG reporting of trends at the country level. The fewer the number of observations for the country of interest, the more its estimates are driven by the experience of other countries, whereas for countries with many observations the results are determined to a greater extent by those empirical observations.</p>
<h2>Обработка отсутствующих значений: </h2>
<ul>
<li> <strong> <em> На страновом уровне: </em> </strong> </li>
</ul>
<p> Не предпринимается попыток предоставить оценки для отдельных стран или территорий, когда данные по стране или территории недоступны. </p>
<ul>
<li> <strong> <em> На региональном и глобальном уровнях: </em> </strong> </li>
</ul>
<p> Для создания региональных и глобальных оценок для любого заданного базового года Отдел народонаселения / DESA использует Байесовскую иерархическую модель, подробно описанную в: </p>
<p>Alkema L., V. Kantorov&#xE1;, C. Menozzi and A. Biddlecom (2013). National, regional and global rates and trends in contraceptive prevalence and unmet need for family planning between 1990 and 2015: a systematic and comprehensive analysis. The Lancet. Vol. 381, Issue 9878, pp. 1642&#x2013;1652. </p>
<p>Wheldon M., V. Kantorov&#xE1;, P. Ueffing and A. N. Z. Dasgupta (2018). Methods for estimating and projecting key family planning indicators among all women of reproductive age. United Nations, Department of Economic and Social Affairs, Population Division, Technical Paper No. 2. New York: United Nations.</p>
<p>Kantorov&#xE1; V., M. Wheldon, P. Ueffing., A. N. Z. Dasgupta (2020). Estimating progress towards meeting women&#x2019;s contraceptive needs in 185 countries: A Bayesian hierarchical modelling study. PLoS Medicine 17(2):e1003026. </p>
<p> Страновые оценки, основанные на моделях, используются только для расчета региональных и глобальных средних значений и не используются для глобальной отчетности ЦУР о тенденциях на страновом уровне. Чем меньше количество наблюдений по исследуемой стране, тем в большей степени ее оценки основываются на опыте других стран, тогда как для стран с большим количеством наблюдений результаты в большей степени определяются этими эмпирическими наблюдениями. </p>
REG_AGG <h2>Regional aggregates:</h2>
<p>The Bayesian hierarchical model is used to generate regional and global estimates and projections of the indicator. Aggregate estimates and projections are weighted averages of the model-based country estimates, using the number of women aged 15-49 for the reference year in each country. Details on the methodology are described in: </p>
<p>Wheldon, M., V. Kantorov&#xE1;, P. Ueffing and A. N. Z. Dasgupta (2018). Methods for estimating and projecting key family planning indicators among all women of reproductive age. United Nations, Department of Economic and Social Affairs, Population Division, Technical Paper No. 2. New York: United Nations. </p>
<h2> Региональные агрегаты: </h2>
<p> Байесовская иерархическая модель используется для создания региональных и глобальных оценок и прогнозов показателя. Агрегированные оценки и прогнозы представляют собой средневзвешенные значения оценок по странам, основанных на модели, с использованием количества женщин в возрасте 15–49 лет за отчетный год в каждой стране. Подробности методологии описаны в: </p>
<p> Wheldon, M., V. Kantorov&#xE1;, P. Ueffing and A. N. Z. Dasgupta (2018). Methods for estimating and projecting key family planning indicators among all women of reproductive age. United Nations, Department of Economic and Social Affairs, Population Division, Technical Paper No. 2. New York: United Nations. </p>
DOC_METHOD <h2>Methods and guidance available to countries for the compilation of the data at the national level:</h2>
<p>N.A.</p>
<h2> Доступные странам методы и руководства для составления данных на национальном уровне: </h2>
<p> Не применимо </p>
QUALITY_MGMNT <h2>Consultation/validation process with countries for adjustments and estimates:</h2>
<p>The data are taken from published survey reports or, in exceptional cases, other published analytic reports or tabulations obtained from survey micro datasets. If clarification is needed, contact is made with the survey sponsors or authoring organization, which may supply corrected or adjusted estimates in response.</p>
<h2> Процесс консультаций / проверки со странами на предмет корректировок и оценок: </h2>
<p> Данные взяты из опубликованных отчетов об обследованиях или, в исключительных случаях, из других опубликованных аналитических отчетов или таблиц, полученных из наборов микроданных обследований. Если требуется разъяснение, то устанавливается контакт со спонсорами обследования или организацией-разработчиком, которые могут предоставить в ответ исправленные или скорректированные оценки. </p>
QUALITY_ASSURE <h2>Quality assurance:</h2>
<p>N.A.</p>
<h2> Обеспечение качества: </h2>
<p> Не применимо. </p>