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The Generations & Gender Contextual Database
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IU_Internet users per 100 persons
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IU_Internet users per 100 persons
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Contact
Thibaud Ritzenthaler, Institut national d'études démographiques (INED)
9, cours des Humanités
CS 50004
93322 Aubervilliers Cedex
Phone : +33 (0)1 56 06 20 00
e-Mail:
thibaud.ritzenthaler@ined.fr
Unit
Per 100 persons
Basetime
Oldest data:1990. Most recent data:2023
Copyright
Yes
Matrix
CDB_IU
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Source(s) used:
The World Bank: World Development Indicators (WDI) dataset. Original source: World Bank national accounts data, and OECD National Accounts data files.
Data downloaded on 22/10/2024.
Citation Guidelines:
All data are free for scientific use only. For any other use, please contact the data producer directly to obtain authorization. Please cite the database as follows:
Generations and Gender Programme (Year). Generations and Gender Contextual Database. Netherlands Interdisciplinary Demographic Institute (distributor).
Retrieved from: https://www.ggp-i.org/data/ggp-contextual-database/ on Day/Month/Year
If the data downloaded from the GGP Contextual Database comes only from one source (e.g. Eurostat), you might cite it as follows:
Original Source [e.g. Eurostat, © European Union, 1995-2019] (Data obtained through the Generations and Gender Contextual Database. Netherlands Interdisciplinary Demographic Institute (distributor). Retrieved from: https://www.ggp-i.org/data/ggp-contextual-database/ on Day/Month/Year)
Please also check the original source for further information on the use of the data and proper citation.
Indicator (long name):Internet Users per 100 persons
Indicator (short name):IU
Definition:Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
Source of variable definition:
UN Population Division Glossary of Demographic Terms.
. Last accessed on 13/9/2022.
Reference areas:
Download the list of reference areas and the respective geographical codes.
Footnotes
Country
Argentina
Estimates are based on regression.
Cyprus
Data are for areas under the effective control of the Government of the Republic of Cyprus.
Georgia
Excludes Abkhazia and South Ossetia.
Kosovo
Estimates are based on regression.
Moldova
Excludes Transnistria.
Republic of Turkmenistan
Estimates are based on regression.
Republic of Uzbekistan
Estimates are based on regression.
Russian Federation
Based on national accounts data from official statistics of Ukraine and Russian Federation; by relying on these data, the World Bank does not intend to make any judgment on the legal or other status of the territories concerned or to prejudice the final determination of the parties' claims.
San Marino
Estimates are based on regression.
Ukraine
Based on national accounts data from official statistics of Ukraine and Russian Federation; by relying on these data, the World Bank does not intend to make any judgment on the legal or other status of the territories concerned or to prejudice the final determination of the parties' claims.
Country: Republic of Turkmenistan , Year: 2015
Based on official data. Official data is not aligned with IMF GDDS standards.
Country: Republic of Turkmenistan , Year: 2016
Based on official data. Official data is not aligned with IMF GDDS standards.
Country: Republic of Turkmenistan , Year: 2017
Based on official data. Official data is not aligned with IMF GDDS standards.
Country: Republic of Turkmenistan , Year: 2018
Based on official data. Official data is not aligned with IMF GDDS standards.
Country: Republic of Turkmenistan , Year: 2019
Based on official data. Official data is not aligned with IMF GDDS standards.