variables: 949045

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
949045 Proportion of youth and adults who have wrote a computer program using a specialised programming language, female (%), ICTSKILLPROGLANG.F %   2024-07-09 16:21:09 2024-07-09 16:21:09     2014-2021 6611   % 
{
    "unit": "%",
    "shortUnit": "%",
    "numDecimalPlaces": 1
}
 0     proportion_of_youth_and_adults_who_have_wrote_a_computer_program_using_a_specialised_programming_language__female__pct__ictskillproglang_f grapher/unesco/2024-06-25/education_sdgs/education_sdgs#proportion_of_youth_and_adults_who_have_wrote_a_computer_program_using_a_specialised_programming_language__female__pct__ictskillproglang_f   2               The proportion of youth and adults with information and communications technology (ICT) skills, by type of skill as defined as the percentage of individuals that have undertaken certain ICT-related activities in the last 3 months. The lack of ICT skills continues to be one of the key barriers keeping people from fully benefitting from the potential of ICT. These data may be used to inform targeted policies to improve ICT skills, and thus contribute to an inclusive information society. The data compiler for this indicator is the International Telecommunication Union (ITU). Eurostat collects data annually for 32 European countries, while the ITU is responsible for setting up the standards and collecting this information from the remaining countries. The figure is calculated as the percentage of people in a given population who have responded ‘yes’ to a selected number of variables e.g. the use of ICT skills in various subject areas or learning domains, the use of ICT skills inside or outside of school and/or workplace, the minimum amount of time spent using ICT skills inside and outside of school and/or workplace, availability of internet access inside or outside of school and/or workplace, etc. in the past 3 months, regardless of where that activity took place. The data are self-reported information on the use of ICT skills in household surveys. One of the main challenges of measurement for this indicator is that it is based only on the information people self-report. They provide information on the types of activities they have undertaken but not on their proficiency level. While self-reporting offers a cost efficient approach to data collection, it is important to consider that the results can vary between groups from different cultural and personal backgrounds. Women, for example, tend to under-report their abilities in using computers and the Internet, while men tend to overstate them. For more information, consult the UNESCO Institute for Statistics: http://uis.unesco.org/ 
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 ab4778cad8e8129663439349abd9416c 5c9080cb1c87db61ef96e97dea72d386

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