Overview

Project website github.com/worldbank/sdg-metadata
Instructions for translators

This project is limited to Russian translation only, for now.

More detailed instructions to come.
Project maintainers User avatar brockfanning
Translation license MIT License
Translation process
  • Translations can be made directly.
  • Translation suggestions are turned off.
  • Translations are reviewed by dedicated reviewers.
  • Any authenticated user can contribute.
  • The translation uses monolingual files.
  • The translation base language can not be edited.
Source code repository https://github.com/worldbank/sdg-metadata
Repository branch master
Last remote commit Merge pull request #542 from weblate/weblate-sdg-metadata-1-1-1a 85d59a4a6e9
User avatar brockfanning authored 7 months ago
Last commit in Weblate Translated using Weblate (Portuguese) 5afc8b49daa
User avatar brockfanning authored a month ago
Weblate repository https://hosted.weblate.org/git/sdg-metadata/1-1-1a/
File mask translations-metadata/*/17-8-1.yml
Monolingual base language file translations-metadata/en/17-8-1.yml
Translation file Download translations-metadata/es/17-8-1.yml
Last change Aug. 19, 2023, 4:52 p.m.
Last change made by None
Language Spanish
Language code es
Text direction Left to right
Number of speakers 506,540,366
Number of plurals 3
Plural type One/many/other
Plurals One 1
Many 1000000, 2000000
Other 0, 2, 3, 4, 5, 6, 7, 8, 9, 10, …
Plural formula (n == 1) ? 0 : ((n != 0 && n % 1000000 == 0) ? 1 : 2)
an hour ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 32 1,596 11,900
Approved 0% 0 0% 0 0% 0
Waiting for review 9% 3 3% 56 3% 454
Translated 9% 3 3% 56 3% 454
Needs editing 56% 18 79% 1,275 78% 9,300
Read-only 0% 0 0% 0 0% 0
Failing checks 59% 19 81% 1,301 79% 9,468
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 34% 11 16% 265 18% 2,146
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Resource updated
The “translations-metadata/en/17-8-1.yml” file was changed. a year ago
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String updated in the repository
<p><strong>URL:</strong></p>
<p>http://www.itu.int/en/ITU-D/Statistics/Pages/default.aspx</p>
<p><strong>References:</strong></p>
<p>ITU Manual for Measuring ICT Access and Use by Households and Individuals 2020:</p>
<p><a href="https://www.itu.int/en/ITU-D/Statistics/Pages/publications/manual.aspx"><u>https://www.itu.int/en/ITU-D/Statistics/Pages/publications/manual.aspx</u></a> </p>
<h1>Referencias</h1>
<h2>URL:</h2>
<p><a href="http://www.itu.int/en/ITU-D/Statistics/Pages/default.aspx">http://www.itu.int/en/ITU-D/Statistics/Pages/default.aspx</a></p>
<h2>Referencias:</h2>
<p>Manual de la UIT para la medición del acceso y el uso de las TIC por los hogares y las personas 2014, ver: <a href="http://www.itu.int/en/ITU-D/Statistics/Pages/publications/manual2014.aspx">http://www.itu.int/en/ITU-D/Statistics/Pages/publications/manual2014.aspx</a></p>
a year ago
User avatar None

Source string changed
<p><strong>URL:</strong></p>
<p>http://www.itu.int/en/ITU-D/Statistics/Pages/default.aspx</p>
<p><strong>References:</strong></p>
<p>ITU Manual for Measuring ICT Access and Use by Households and Individuals 2020:</p>
<p><a href="https://www.itu.int/en/ITU-D/Statistics/Pages/publications/manual.aspx"><u>https://www.itu.int/en/ITU-D/Statistics/Pages/publications/manual.aspx</u></a> </p>
a year ago
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String updated in the repository
<p><strong>Sources of discrepancies:</strong></p>
<p>Differences between global and national figures may arise when countries use a different definition than the one agreed internationally and used by ITU. Discrepancies may also arise in cases where the age scope of the surveys differs, or when the country only provides data for a certain age group and not the total population.</p>
<h2>Fuentes de discrepancia:</h2>
<p>Las diferencias entre las cifras mundiales y las nacionales pueden surgir cuando los países utilizan una definición diferente a la acordada internacionalmente y utilizada por la UIT. También pueden surgir discrepancias cuando el alcance de edad de las encuestas difiere, o cuando el país solo proporciona datos para un determinado grupo de edad y no para la población total.</p>
a year ago
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String updated in the repository
<p><strong>Data availability:</strong></p>
<p>Overall, the indicator is available for more than 130 countries at least from one survey.</p>
<p>ITU makes the indicator available for each year for 200 economies by using survey data and estimates for almost all countries of the world.</p>
<p><strong>Time series:</strong></p>
<p>2000 onwards</p>
<p><strong>Disaggregation:</strong></p>
<p>For countries that collect this data on the proportion of individuals using the Internet through an official survey, and if data allow breakdown and disaggregation, the indicator can be broken down by region (geographic and/or urban/rural), by sex, by age group, by educational level, by labour force status, and by occupation. ITU collects data for all of these breakdowns from countries. Estimates of regional aggregates by sex are also calculated.</p>
<h1>Disponibilidad de datos</h1>
<p>En total, el indicador está disponible para 100 países al menos a partir de una encuesta en los años 2011-2014.</p>
<p>La UIT pone a disposición el indicador para cada año para 200 economías utilizando datos de encuestas y estimaciones para casi todos los países del mundo.</p>
<h2>Desagregación:</h2>
<p>Para los países que recopilan estos datos sobre la proporción de individuos que utilizan Internet a través de una encuesta oficial, y si los datos permiten el desglose y la desagregación, el indicador se puede desglosar por región (geográfica y/o urbana/rural), por sexo, por grupo de edad, por nivel educativo, por situación de la población activa y por ocupación. La UIT recoge datos de los países para todos estos desgloses.</p>
a year ago
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Source string changed
<p><strong>Data availability:</strong></p>
<p>Overall, the indicator is available for more than 130 countries at least from one survey.</p>
<p>ITU makes the indicator available for each year for 200 economies by using survey data and estimates for almost all countries of the world.</p>
<p><strong>Time series:</strong></p>
<p>2000 onwards</p>
<p><strong>Disaggregation:</strong></p>
<p>For countries that collect this data on the proportion of individuals using the Internet through an official survey, and if data allow breakdown and disaggregation, the indicator can be broken down by region (geographic and/or urban/rural), by sex, by age group, by educational level, by labour force status, and by occupation. ITU collects data for all of these breakdowns from countries. Estimates of regional aggregates by sex are also calculated.</p>
a year ago
User avatar None

String updated in the repository
<p>ITU Manual for Measuring ICT Access and Use by Households and Individuals 2020:</p>
<p><a href="https://www.itu.int/en/ITU-D/Statistics/Pages/publications/manual.aspx"><u>https://www.itu.int/en/ITU-D/Statistics/Pages/publications/manual.aspx</u></a> </p>
 
a year ago
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String updated in the repository
<p>Country-level data on the percentage of individuals using the Internet (Internet users as a percentage of total population) are first estimated using various techniques, such as hot-deck imputation, regression models and time series forecast. Hot-deck imputation uses data from countries with &#x201C;similar&#x201D; characteristics, such as GNI per capita and geographic location. In cases when it is not possible to find an adequate imputation based on similar cases, regression models based on a set of countries with relatively similar characteristics are applied.</p>
<p>Once the country-level percentages are available for all countries, the number of Internet users are calculated by multiplying the percentages to the population of the country. The regional and world total Internet users were calculated by summing the country-level data. The aggregate percentages were calculated by dividing the regional totals by the population of respective groups.</p>
<h2>Agregados regionales:</h2>
<p>Los datos a nivel de país sobre el porcentaje de individuos que utilizan Internet (usuarios de Internet como porcentaje de la población total) se estiman primero utilizando diversas técnicas, como la imputación hot-check, los modelos de regresión y la previsión de series temporales. La imputación hot-check utiliza datos de países con &#x201C;características similares&#x201D;, como el INB per cápita y la ubicación geográfica. Cuando no es posible encontrar una imputación adecuada basada en casos similares, se aplican modelos de regresión basados en un conjunto de países con características relativamente similares.</p>
<p>Una vez que se dispone de los porcentajes a nivel de país para todos los países, se calcula el número de usuarios de Internet multiplicando los porcentajes por la población del país. El total de usuarios de Internet a nivel regional y mundial se ha calculado sumando los datos a nivel de país. Los porcentajes agregados se calcularon dividiendo los totales regionales por la población de los respectivos grupos.</p>
a year ago
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String updated in the repository
<p><strong>&#x2022; At country level</strong></p>
<p>In the absence of official household surveys, International Telecommunication Union (ITU) estimates the percentage of individuals using the Internet (Internet users as a percentage of total population) using various techniques, such as hot-deck imputation, regression models and time series forecast, using data such as income, education and other ICT indicators.</p>
<p><strong>&#x2022; At regional and global levels</strong></p>
<p>In the absence of official household surveys, ITU estimates the percentage of individuals using the Internet (Internet users as a percentage of total population) using various techniques, such as hot-deck imputation, regression models and time series forecast, using data such as income, education and other ICT indicators.</p>
<h2>Tratamiento de valores faltantes:</h2>
<ul>
<li><strong><em>A nivel de país:</em></strong></li>
</ul>
<p>A falta de encuestas oficiales a los hogares, la UIT estima el porcentaje de personas que utilizan Internet (usuarios de Internet como porcentaje de la población total) mediante diversas técnicas, como la imputación hot-check, los modelos de regresión y la previsión de series temporales, utilizando datos como los ingresos, la educación y otros indicadores de las TIC.</p>
<ul>
<li><strong><em>A nivel regional y mundial:</em></strong></li>
</ul>
<p>A falta de encuestas oficiales de hogares, la UIT estima el porcentaje de personas que utilizan Internet (usuarios de Internet como porcentaje de la población total) utilizando diversas técnicas, como la imputación hot-check, los modelos de regresión y la previsión de series temporales, utilizando datos como los ingresos, la educación y otros indicadores de las TIC.</p>
a year ago
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Source string changed
<p><strong>&#x2022; At country level</strong></p>
<p>In the absence of official household surveys, International Telecommunication Union (ITU) estimates the percentage of individuals using the Internet (Internet users as a percentage of total population) using various techniques, such as hot-deck imputation, regression models and time series forecast, using data such as income, education and other ICT indicators.</p>
<p><strong>&#x2022; At regional and global levels</strong></p>
<p>In the absence of official household surveys, ITU estimates the percentage of individuals using the Internet (Internet users as a percentage of total population) using various techniques, such as hot-deck imputation, regression models and time series forecast, using data such as income, education and other ICT indicators.</p>
a year ago
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