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Project website https://github.com/worldbank/sdg-metadata
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Repository https://github.com/worldbank/sdg-metadata
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Last remote commit Merge pull request #108 from weblate/weblate-sdg-metadata-1-1-1a f775d8ca
jenpark9 authored 21 hours ago
Repository containing Weblate translations https://hosted.weblate.org/git/sdg-metadata/1-1-1a/
Filemasktranslations/*/1-1-1b.po
Translation file translations/ru/1-1-1b.po
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SDG Metadata / 1-1-1bRussian

Resource update 27 minutes ago
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Committed changes

SDG Metadata / 1-1-1bRussian

Committed changes 27 minutes ago
jenpark9

Translation changed

SDG Metadata / 1-1-1bRussian

<h1>References</h1>
<p>Decent Work and the Sustainable Development Goals: A Guidebook on SDG Labour Market Indicators (ILO) <a href="https://www.ilo.org/stat/Publications/WCMS_647109/lang--en/index.htm">https://www.ilo.org/stat/Publications/WCMS_647109/lang--en/index.htm</a> </p>
<p>ILOSTAT (<a href="https://ilostat.ilo.org/">https://ilostat.ilo.org/</a>).</p>
<p>ILOSTAT&#x2019;s topic page on working poverty (<a href="https://ilostat.ilo.org/topics/working-poor/">https://ilostat.ilo.org/topics/working-poor/</a>)</p>
<p>Employment and economic class in the developing world (Kapsos and Bourmpoula, 2013) <a href="http://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_216451.pdf">http://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_216451.pdf</a></p>
<p>Decent Work Indicators Manual <a href="http://www.ilo.org/wcmsp5/groups/public/---dgreports/---integration/documents/publication/wcms_229374.pdf">http://www.ilo.org/wcmsp5/groups/public/---dgreports/---integration/documents/publication/wcms_229374.pdf</a> (second version, page 70).</p>
<h1>Ссылки</h1>
<ul>
<li
p>Достойная работа и Цели устойчивого развития: Руководство по показателям рынка труда (МОТ)
<a href="https://www.ilo.org/stat/Publications/WCMS_647109/lang--en/index.htm">
https://www.ilo.org/stat/Publications/WCMS_647109/lang--en/index.htm</a> </li>.
<li
p>
<p
>ILOSTAT (<a href="https://ilostat.ilo.org/">https://ilostat.ilo.org/</a>).</li>.
<li
p>
<p
>topic page on working poverty (<a href="https://ilostat.ilo.org/topics/working-poor/">https://ilostat.ilo.org/topics/working-poor/</a>)</li>.
<li
p>
<p
>Employment and economic class in the developing world (Kapsos and Bourmpoula, 2013)
<a href="http://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_216451.pdf">
http://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_216451.pdf</a></li>.
<li
p>
<p
>Decent Work Indicators Manual <a href="http://www.ilo.org/wcmsp5/groups/public/---dgreports/---integration/documents/publication/wcms_229374.pdf">http://www.ilo.org/wcmsp5/groups/public/---dgreports/---integration/documents/publication/wcms_229374.pdf</a> (вторая версия, стр. 70).</li>.
</ul
p>
5 hours ago
jenpark9

Translation changed

SDG Metadata / 1-1-1bRussian

<h1>Data availability</h1>
<h2>Description:</h2>
<h2>Time series:</h2>
<h2>Disaggregation:</h2>
<p>Work is underway at the World Bank for disaggregated poverty estimates.</p>
<h1> Наличие данных </h1>
<Hh2> Описание: </h2>
<h2> Временные ряды: </h2>
<Hh2> Дезагрегация: </h2>
<p> Всемирный банк проводит работу по дезагрегированным оценкам бедности. </p>
5 hours ago
jenpark9

Translation changed

SDG Metadata / 1-1-1bRussian

<h2>Methods and guidance available to countries for the compilation of the data at the national level:</h2>
## <h2>Методы и руководство, которые страны могут применять для компиляции данных на национальном уровне</h2>
5 hours ago
jenpark9

Translation changed

SDG Metadata / 1-1-1bRussian

<h2>Regional aggregates:</h2>
<p>The ILO produces global and regional estimates of employment by economic class (and thus, of working poverty rates) using the ILO&#x2019;s Employment by Class (EbyC) model. These estimates are part of the ILO Estimates and Projections series, analysed in the ILO&apos;s World Employment and Social Outlook reports. For more information, on the model used to derive these estimates, refer to the ILO paper &#x201C;Employment and economic class in the developing world&#x201D; (Kapsos and Bourmpoula, 2013), available at <a href="http://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_216451.pdf">http://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_216451.pdf</a></p>
<h2>Региональные агрегаты
</h2>
<p>
МОТ производит глобальные и региональные оценки занятости по экономическим классам (и, следовательно, уровней бедности среди работающих) с использованием модели занятости по классам (EbyC) Международной организации труда (МОТ). Эти оценки являются частью рядов данных по оценкам и прогнозам МОТ, рассматриваемым в докладах МОТ о мировом уровне занятости и социальных перспективах. Для получения дополнительной информации о модели, используемой для получения этих оценок, см. статью МОТ "Employment and economic class in the developing world" (Kapsos and Bourmpoula, 2013), доступную на «
<a href="
http://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_216451.pdf»>
http://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_216451.pdf</a></p>
5 hours ago
jenpark9

Translation changed

SDG Metadata / 1-1-1bRussian

<h1>Methodology</h1>
<h2>Computation method:</h2>
<p><img src="data:image/png;base64,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"></p>
<h1>Методология</h1>
<h2>Метод расчета:</h2>
<p><img src="data:image/png;base64,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"></p>
6 hours ago
jenpark9

Translation changed

SDG Metadata / 1-1-1bRussian

<h2>Comments and limitations:</h2>
<p>At the country level, comparisons over time may be affected by such factors as changes in survey types or data collection methods. The use of PPPs rather than market exchange rates ensures that differences in price levels across countries are taken into account. However, it cannot be categorically asserted that two people in two different countries, living below US$1.90 a day at PPP, face the same degree of deprivation or have the same degree of need.</p>
<p>Poverty in the context of this indicator is a concept that is applied to households, and not to individuals, based on the assumption that households pool their income. This assumption may not always be true.</p>
<p>Moreover, the poverty status of a household is a function of the wage and other employment-related income secured by those household members in employment, income derived from asset ownership, plus any other available income such as transfer payments and the number of household members. Whether a worker is counted as working poor therefore depends on his or her own income, the income of other household members and the number of household members who need to be supported. It is thus often valuable to study household structure in relation to working poverty. </p>
<h2>Комментарии и ограничения:</h2>
<p>На страновом уровне на сопоставления в динамике по времени могут влиять такие факторы, как изменения в типах обследований или методах сбора данных. Использование данных ППС, а не рыночных обменных курсов, обеспечивает уверенность, что учтены различия в уровнях цен в разных странах. Однако нельзя категорически утверждать, что два человека в двух разных странах, живущие ниже черты в 1,90 доллара США в день по ППС, сталкиваются с одинаковой степенью обездоленности или испытывают одинаковую степень нужды.</p>.
<p>Бедность в контексте этого показателя - это понятие, которое применяется к домашним хозяйствам, а не к отдельным лицам, основываясь на предположении о том, что в домашних хозяйствах доходы объединяются. Но это предположение не всегда может быть верным.</p>.
<p>Более того, статус бедности какого-либо домохозяйства зависит от заработной платы и других доходов, связанных с занятостью, которые обеспечиваются членами домохозяйства, работающими по найму, доходов, получаемых от владения активами, а также от любых других имеющихся доходов, таких как трансфертные платежи, а также от количества членов домохозяйства. Поэтому вопрос о том, считается ли работник работающим бедняком, зависит от его или ее собственного дохода, дохода других членов домохозяйства и числа членов домохозяйства, нуждающихся в поддержке. Таким образом, часто бывает полезно изучить структуру домохозяйств в отношении бедности среди занятых. </p>
6 hours ago
jenpark9

Translation changed

SDG Metadata / 1-1-1bRussian

<h2>Rationale:</h2>
<p>In order to eradicate poverty, we must understand the root causes of poverty. </p>
<p>The working poverty rate reveals the proportion of the employed population living in poverty despite being employed, implying that their employment-related incomes are not sufficient to lift them and their families out of poverty and ensure decent living conditions. The adequacy of earnings is a fundamental aspect of job quality, and these deficits in job quality could be keeping workers and their families in poverty.</p>
<p>The proportion of working poor in total employment (that is, the working poverty rate) combines data on household income or consumption with labour force framework variables measured at the individual level and sheds light on the relationship between employment and household poverty.</p>
<h2>Обоснование:</h2>
<p>Для того, чтобы искоренить нищету, мы должны понять причины, лежащие в ее основе. </p>
<p>Уровень бедности среди работающих показывает долю занятого населения, живущего в бедности, несмотря на занятость, что означает, что их доходов, получаемых в связи с занятостью, недостаточно для того, чтобы вытащить их и их семьи из бедности и обеспечить достойные условия жизни. Достаточность доходов является основополагающим аспектом качества работы, и этот недостаток в качестве работы может удерживать работников и их семьи в бедности".</p>.
<p>Доля бедных среди работающих в общей численности занятого населения (т.е. уровень бедности среди работающих) объединяет данные о доходе или потреблении домохозяйств с концептуальными переменными рабочей силы, оцениваемыми на уровне работника, и проливает свет на взаимосвязь между занятостью и бедностью домохозяйств."</p>.
6 hours ago
jenpark9

Translation changed

SDG Metadata / 1-1-1bRussian

<h1>Data providers</h1>
<p>Mainly National Statistical Offices.</p>
# <h1>Поставщики данных
</h1>
<p>
В основном национальные статистические управления.</p>
6 hours ago
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Last author Jennifer Park

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