Language Approved Translated Unfinished Unfinished words Unfinished characters Untranslated Checks Suggestions Comments
English MIT 0 0 0 0 3 0 0
Arabic MIT 0% 0% 32 1,484 12,133 32 0 0 0
French MIT 0% 34% 21 1,294 10,657 0 3 0 0
Portuguese MIT 0% 0% 32 1,484 12,133 32 0 0 0
Russian MIT 0% 0% 32 1,484 12,133 32 0 0 0
Spanish MIT 0% 0% 32 1,484 12,133 32 0 0 0
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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 3 months ago
Last commit in Weblate Translated using Weblate (French) 4e2543f0d65
User avatar deblsyl authored 2 years ago
Weblate repository https://hosted.weblate.org/git/sdg-metadata/1-1-1a/
File mask translations-metadata/*/5-b-1.yml
Monolingual base language file translations-metadata/en/5-b-1.yml
9 hours ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 192 8,904 72,798
Source 32 1,484 12,133
Approved 0% 0 0% 0 0% 0
Waiting for review 5% 11 2% 190 2% 1,476
Translated 22% 43 18% 1,674 18% 13,609
Needs editing 10% 21 14% 1,294 14% 10,657
Read-only 16% 32 16% 1,484 16% 12,133
Failing checks 3% 6 8% 743 10% 7,455
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 66% 128 66% 5,936 66% 48,532
Last 12 months Previous

Activity in last 12 months

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Quick numbers

8,904
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192
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22%
Translated
0
Contributors
and previous 30 days

Trends of last 30 days

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User avatar None

Resource updated

  1. SDG Metadata
  2. 5-b-1
  3. Russian
The “translations-metadata/en/5-b-1.yml” file was changed. 11 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 5-b-1
  3. Russian
<p><strong>URL:</strong></p>
<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>
<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">https://www.itu.int/en/ITU-D/Statistics/Pages/publications/manual.aspx</a> </p>
 
11 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 5-b-1
  3. Russian
<p><strong>Sources of discrepancies:</strong></p>
<p>None. The International Telecommunication Union (ITU) uses the data provided by countries, including the in-scope population that is used to calculate the percentages.</p>
 
11 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 5-b-1
  3. Russian
<p><strong>Data availability:</strong></p>
<p>Overall, the indicator is available for more than 80 countries at least from one survey.</p>
<p><strong>Time series:</strong></p>
<p>2015 onwards</p>
<p><strong>Disaggregation:</strong></p>
<p>For countries that collect this indicator through a national household survey, and if data allow breakdown and disaggregation, the indicator can be broken down not only by sex but also by region (urban/rural), age group, educational level, labour force status, and occupation. Estimates of regional aggregates by sex are also calculated.</p>
 
11 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 5-b-1
  3. Russian
<p>Data are checked and validated by the ICT Data and Analytics (IDA) Division of the International Telecommunication Union (ITU). Countries are contacted to clarify and correct their submissions.</p>
 
11 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 5-b-1
  3. Russian
<p>Country-level data on the percentage of individuals owning mobile phones (owners of mobile phones 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 are applied.</p>
<p>Once the country-level percentages are available for all countries, the number of mobile phone owners are calculated by multiplying the percentages to the population of the country. The regional and world total mobile phone owners 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>
 
11 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 5-b-1
  3. Russian
<p><strong>&#x2022; At country level</strong></p>
<p>Missing values are not estimated. </p>
<p><strong>&#x2022; At regional and global levels</strong></p>
<p>In the absence of official household surveys, International Telecommunication Union (ITU) estimates the percentage of individuals owning mobile phones (owners of mobile phones as a percentage of total population) using various techniques, such as hot-deck imputation, regression models and time series forecast, using data such as Internet use, income, education and other ICT indicators.</p>
 
11 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 5-b-1
  3. Russian
<p>Data are submitted by Member States to The International Telecommunication Union (ITU). ITU checks and validates the data, in consultation with the Member States. </p>
 
11 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 5-b-1
  3. Russian
<p>Countries can collect data on this indicator through national household surveys. This indicator is calculated by dividing the total number of in-scope individuals who own a mobile phone by the total number of in-scope individuals.</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>&amp;nbsp;</mi>
<mo>[</mo>
<mo>(</mo>
<mi>n</mi>
<mi>u</mi>
<mi>m</mi>
<mi>b</mi>
<mi>e</mi>
<mi>r</mi>
<mi>&amp;nbsp;</mi>
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<mi>i</mi>
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<mo>-</mo>
<mi>s</mi>
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<mi>&amp;nbsp;</mi>
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<mi>s</mi>
<mi>&amp;nbsp;</mi>
<mi>o</mi>
<mi>w</mi>
<mi>n</mi>
<mi>i</mi>
<mi>n</mi>
<mi>g</mi>
<mi>&amp;nbsp;</mi>
<mi>a</mi>
<mi>&amp;nbsp;</mi>
<mi>m</mi>
<mi>o</mi>
<mi>b</mi>
<mi>i</mi>
<mi>l</mi>
<mi>e</mi>
<mi>&amp;nbsp;</mi>
<mi>p</mi>
<mi>h</mi>
<mi>o</mi>
<mi>n</mi>
<mi>e</mi>
<mo>)</mo>
<mi>&amp;nbsp;</mi>
<mo>/</mo>
<mi>&amp;nbsp;</mi>
<mo>(</mo>
<mi>t</mi>
<mi>o</mi>
<mi>t</mi>
<mi>a</mi>
<mi>l</mi>
<mi>&amp;nbsp;</mi>
<mi>n</mi>
<mi>u</mi>
<mi>m</mi>
<mi>b</mi>
<mi>e</mi>
<mi>r</mi>
<mi>&amp;nbsp;</mi>
<mi>o</mi>
<mi>f</mi>
<mi>&amp;nbsp;</mi>
<mi>i</mi>
<mi>n</mi>
<mo>-</mo>
<mi>s</mi>
<mi>c</mi>
<mi>o</mi>
<mi>p</mi>
<mi>e</mi>
</math></p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML">
<mi>i</mi>
<mi>n</mi>
<mi>d</mi>
<mi>i</mi>
<mi>v</mi>
<mi>i</mi>
<mi>d</mi>
<mi>u</mi>
<mi>a</mi>
<mi>l</mi>
<mi>s</mi>
<mo>)</mo>
<mo>]</mo>
<mi>*</mi>
<mn>100</mn>
</math></p>
 
11 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 5-b-1
  3. Russian
<p>Mobile phone networks have spread rapidly over the last decade and the number of mobile-cellular subscriptions is quasi equal to the number of people living on earth. However, not every person uses or owns a mobile-cellular telephone. Mobile phone ownership, in particular, is important to track gender equality since the mobile phone is a personal device that, if owned and not just shared, provides women with a degree of independence and autonomy, including for professional purposes. Several studies have highlighted the link between mobile phone ownership and empowerment, and productivity growth.</p>
<p>Existing data on the proportion of women owning a mobile phone suggest that fewer women than men own a mobile phone. This indicator highlights the importance of mobile phone ownership to track and improve gender equality, and monitoring will help design targeted policies to overcome the gender divide. The collection of this indicator was proposed by the Task Group on Gender of the Partnership on Measuring ICT for Development.</p>
 
11 months ago
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