Zen

Translation

<p><strong>Data availability: </strong></p>
<p>There are 1612 countries with regional and World aggregates that have at least 1 data point after 20101 for this indicator:. </p>
<p><strong>Time series:</strong></p>
<p>Triennial (2011,2014, 2017 and 2021.)</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation are available by: Income, labour force; Age; Education level; Urban/rural; Gender (Adults in the poorest 40 percent of households vs. Adults in the richest 60 percent of households); Participation in labour force (In labor force vs. Out of labor force); Age (Ages 15-25 vs. Age 25+); Education level (Primary and below vs. Primary and above); Urbanicity of residence (Rural vs. Urban ); Gender (Female vs. Male)</p>
COVERAGE
English
<p><strong>Data availability: </strong></p>
<p>There are 162 countries with regional and World aggregates that have at least 1 data point after 2011 for this indicator. </p>
<p><strong>Time series:</strong></p>
<p>Triennial (2011,2014, 2017 and 2021)</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation are available by: Income (Adults in the poorest 40 percent of households vs. Adults in the richest 60 percent of households); Participation in labour force (In labor force vs. Out of labor force); Age (Ages 15-25 vs. Age 25+); Education level (Primary and below vs. Primary and above); Urbanicity of residence (Rural vs. Urban ); Gender (Female vs. Male)</p>
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Key English French Actions
IMPUTATION
<ul>
<li><strong>At country level </strong></li>
</ul>
<p> Data for &#x201C;don&#x2019;t know&#x201D; and &#x201C;refused to answer&#x201D; form 0-1% of the total responses and are counted as &#x201C;no&#x201D; instead of missing. Any estimates based on fewer than 10% of survey sample observations are considered economically insignificant and therefore suppressed.</p>
<ul>
<li><strong>At regional and global levels </strong></li>
</ul>
<p><strong> </strong>Not applicable </p>
<h2><strong><strong>Traitement des valeurs manquantes : </strong></strong></h2>
<h5><strong> Au niveau national : </strong></h5>
<p>s. o.</p>
<h5><strong>Aux niveaux régional et mondial : </strong></h5>
<p>s. o.</p>
REG_AGG
<p>Regional estimates are calculated by aggregating individual level surveys for each country in the developing regions. Appropriate regional population-based weights are applied. Information on developing regional classification(s) is taken from the World Bank and the population data is taken from the World Development Indicators (WDI). </p>
<h2><strong><strong>Agrégats régionaux : </strong></strong></h2>
<p>Au niveau national, le pourcentage d'adultes possédant un compte est multiplié par le nombre d'adultes dans le pays. Ensuite, pour les valeurs régionales, la somme de tous les pays de la région est prise et divisée par le nombre total d'adultes vivant dans la région. De façon similaire, pour les chiffres mondiaux, le même calcul est répété pour tous les pays.</p>
QUALITY_MGMNT
<p>The Findex team oversees the quality management of the Global Findex Database.</p>
 
QUALITY_ASSURE
<p>For quality assurance, the Findex team has additional processes in place after it receives the data from Gallup Inc. The Findex team compares the data against (the limited number of) demand-side survey data from external sources for countries whenever available such as from the Financial Inclusion Insights Survey, FinScope, or from Central Banks. The team also consults with key practitioners both within the World Bank and at other key organizations to confirm the credibility of headline numbers on account ownership. </p>
 
QUALITY_ASSMNT
<p>All the source code for the headline indicator is reviewed by an independent and external statistics department within the World Bank. </p>
 
COVERAGE
<p><strong>Data availability: </strong></p>
<p>There are 162 countries with regional and World aggregates that have at least 1 data point after 2011 for this indicator. </p>
<p><strong>Time series:</strong></p>
<p>Triennial (2011,2014, 2017 and 2021)</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation are available by: Income (Adults in the poorest 40 percent of households vs. Adults in the richest 60 percent of households); Participation in labour force (In labor force vs. Out of labor force); Age (Ages 15-25 vs. Age 25+); Education level (Primary and below vs. Primary and above); Urbanicity of residence (Rural vs. Urban ); Gender (Female vs. Male)</p>
<h1>Disponibilité des données</h1>
<h2> <strong> <strong> Description : </strong> </strong> </h2>
<p> Pays disposant d'au moins une observation après 2010 pour cet indicateur : </p>
<ul>
<li> Asie et Pacifique : 35 </li>
<li> Afrique : 38 </li>
<li> Amérique latine et Caraïbes : 21 </li>
<li> Europe, Amérique du Nord, Australie, Nouvelle-Zélande et Japon : 47 </li>
</ul>
<h2> <strong> <strong> Séries chronologiques : </strong> </strong> </h2>
<p> 2011 et 2014. Données recueillies tous les 3 ans. </p>
<h2> <strong> <strong> Désagrégation : </strong> </strong> </h2>
<p> Désagrégation par revenu; âge; niveau d'éducation; urbain / rural; et sexe. </p>
COMPARABILITY
<p><strong>Sources of discrepancies:</strong></p>
<p>Global Findex Database is an individual level survey, measuring an individual&#x2019;s perception of ownership of accounts. It assumes financial inclusion is an individual-level concept which may create two potential discrepancies. First, the data may deviate from supply side data which counts the number of accounts and may overstate the level of financial inclusion in a country if a significant number of adults have an account they do not use and did not formally close. Second, not all demand-side data is the same and that the data from different demand-side surveys cannot necessarily be compared if the survey method is different. In particular, surveys of individuals cannot be compared directly with surveys of household heads, since the use of financial services can differ considerably between different household members.</p>
<h2><strong><strong>Sources des divergences : </strong></strong></h2>
<p>Global Findex est une enquête au niveau individuel qui mesure le nombre d'individus possédant un compte. Comme l'inclusion financière est un concept individuel, il s'agit de la mesure appropriée. D'autres enquêtes réalisées au niveau des ménages peuvent mesurer l'accès au financement par un autre membre du ménage, ce qui peut surestimer l'inclusion financière.</p>
OTHER_DOC
<p><strong>URL:</strong> </p>
<p>https://www.worldbank.org/en/publication/globalfindex </p>
<p><strong>References:</strong> </p>
<p>Demirg&#xFC;&#xE7;-Kunt, Asli, Leora Klapper, Dorothe Singer, and Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank. </p>
<h1> Référence </h1>
<h2><strong><strong>URL : </strong></strong></h2>
<p><a href="www.banquemondiale.org">www.banquemondiale.org</a></p>
<h2><strong><strong>Références : </strong></strong></h2>
<p><a href="http://www.worldbank.org/globalfindex">http://www.worldbank.org/globalfindex</a></p>
Key English French Actions
CLASS_SYSTEM
<p>Data is also aggregated using the World Bank classifications for World, low- and middle-income economies, income groups (low-income, lower-middle-income, and upper-middle-income economies), and developing regions.</p>
 
COLL_METHOD
<p>In most developing economies, Global Findex data have traditionally been collected through face-to-face</p>
<p>interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, during 2021, due to ongoing COVID-19&#x2013;related mobility restrictions, face-to-face interviewing was not possible in some of these economies.</p>
<p>Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. </p>
<p>All samples are probability-based and nationally representative of the resident adult population. </p>
<h2><strong><strong>Processus de collecte :</strong></strong></h2>
<p>Les données sont comparables entre les pays.</p>
COMPARABILITY
<p><strong>Sources of discrepancies:</strong></p>
<p>Global Findex Database is an individual level survey, measuring an individual&#x2019;s perception of ownership of accounts. It assumes financial inclusion is an individual-level concept which may create two potential discrepancies. First, the data may deviate from supply side data which counts the number of accounts and may overstate the level of financial inclusion in a country if a significant number of adults have an account they do not use and did not formally close. Second, not all demand-side data is the same and that the data from different demand-side surveys cannot necessarily be compared if the survey method is different. In particular, surveys of individuals cannot be compared directly with surveys of household heads, since the use of financial services can differ considerably between different household members.</p>
<h2><strong><strong>Sources des divergences : </strong></strong></h2>
<p>Global Findex est une enquête au niveau individuel qui mesure le nombre d'individus possédant un compte. Comme l'inclusion financière est un concept individuel, il s'agit de la mesure appropriée. D'autres enquêtes réalisées au niveau des ménages peuvent mesurer l'accès au financement par un autre membre du ménage, ce qui peut surestimer l'inclusion financière.</p>
COMPILING_ORG
<p>World Bank </p>
<h1>Compilateur des données</h1>
<p>Banque mondiale</p>
CONTACT_ORGANISATION
<p>World Bank</p>
 
COVERAGE
<p><strong>Data availability: </strong></p>
<p>There are 162 countries with regional and World aggregates that have at least 1 data point after 2011 for this indicator. </p>
<p><strong>Time series:</strong></p>
<p>Triennial (2011,2014, 2017 and 2021)</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation are available by: Income (Adults in the poorest 40 percent of households vs. Adults in the richest 60 percent of households); Participation in labour force (In labor force vs. Out of labor force); Age (Ages 15-25 vs. Age 25+); Education level (Primary and below vs. Primary and above); Urbanicity of residence (Rural vs. Urban ); Gender (Female vs. Male)</p>
<h1>Disponibilité des données</h1>
<h2> <strong> <strong> Description : </strong> </strong> </h2>
<p> Pays disposant d'au moins une observation après 2010 pour cet indicateur : </p>
<ul>
<li> Asie et Pacifique : 35 </li>
<li> Afrique : 38 </li>
<li> Amérique latine et Caraïbes : 21 </li>
<li> Europe, Amérique du Nord, Australie, Nouvelle-Zélande et Japon : 47 </li>
</ul>
<h2> <strong> <strong> Séries chronologiques : </strong> </strong> </h2>
<p> 2011 et 2014. Données recueillies tous les 3 ans. </p>
<h2> <strong> <strong> Désagrégation : </strong> </strong> </h2>
<p> Désagrégation par revenu; âge; niveau d'éducation; urbain / rural; et sexe. </p>
DATA_COMP
<p>The indicator is based on data collected through individual level surveys in each country with representative samples. Data weighting is used to ensure a nationally representative sample for each economy. Final weights consist of the base sampling weight, which corrects for unequal probability of selection based on household size, and the poststratification weight, which corrects for sampling and nonresponse error. Poststratification weights use economy-level population statistics on gender and age and, where reliable data are available, education or socioeconomic status. Regional population weights are used to calculate regional aggregates. </p>
<p>Full report, including methodology and interview procedures, data preparation, margin of error and notes by country are all available under Methodology Table A.1 here: <a href="https://www.worldbank.org/en/publication/globalfindex/Report"></a><a href="https://www.worldbank.org/en/publication/globalfindex/Report">https://www.worldbank.org/en/publication/globalfindex/Report</a></p>
<h1>Méthodologie</h1>
<h2><strong><strong> Méthode de calcul : </strong></strong></h2>
<p>L'indicateur est basé sur des données recueillies par des enquêtes individuelles dans chaque pays ayant des échantillons représentatifs. Des poids d'échantillonnage appropriés sont utilisés pour calculer les agrégats au niveau des pays.</p>
DATA_SOURCE
<p>Collected by Gallup, Inc. through the Gallup World Poll and compiled by the World Bank</p>
<h1>Fournisseur de données</h1>
<p>s. o.</p>
DATA_VALIDATION
<p>There is a thorough review process of the Global Findex surveys to ensure its quality and integrity. Gallup, Inc, the survey vendor for the Global Findex database, follows the highest standards for sampling and collecting the data and thoroughly vets the data before sharing it with the Global Findex team. Once the data is received by the Findex team, the team vets the data by comparing headline indicators from the database against data from previous rounds of the database.</p>
 
FREQ_COLL
<p>Four rounds of data collection are completed, for years: 2011, 2014, 2017, and 2022. </p>
<p>Surveying for 2020 was delayed to 2021 due to COVID-19 restrictions.</p>
<h1>Calendrier</h1>
<h2><strong><strong>Collecte de données : </strong></strong></h2>
<p>Prochain cycle de collecte : 2017. Les données sont recueillies tous les trois ans.</p>

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String updated in the repository

  1. SDG Metadata
  2. 8-10-2
  3. French
<p><strong>Data availability: </strong></p>
<p>There are 162 countries with regional and World aggregates that have at least 1 data point after 2011 for this indicator. </p>
<p><strong>Time series:</strong></p>
<p>Triennial (2011,2014, 2017 and 2021)</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation are available by: Income (Adults in the poorest 40 percent of households vs. Adults in the richest 60 percent of households); Participation in labour force (In labor force vs. Out of labor force); Age (Ages 15-25 vs. Age 25+); Education level (Primary and below vs. Primary and above); Urbanicity of residence (Rural vs. Urban ); Gender (Female vs. Male)</p>
<h1>Disponibilité des données</h1>
<h2> <strong> <strong> Description : </strong> </strong> </h2>
<p> Pays disposant d'au moins une observation après 2010 pour cet indicateur : </p>
<ul>
<li> Asie et Pacifique : 35 </li>
<li> Afrique : 38 </li>
<li> Amérique latine et Caraïbes : 21 </li>
<li> Europe, Amérique du Nord, Australie, Nouvelle-Zélande et Japon : 47 </li>
</ul>
<h2> <strong> <strong> Séries chronologiques : </strong> </strong> </h2>
<p> 2011 et 2014. Données recueillies tous les 3 ans. </p>
<h2> <strong> <strong> Désagrégation : </strong> </strong> </h2>
<p> Désagrégation par revenu; âge; niveau d'éducation; urbain / rural; et sexe. </p>
9 months ago
User avatar None

Source string changed

  1. SDG Metadata
  2. 8-10-2
  3. French
<p><strong>Data availability: </strong></p>
<p>There are 1612 countries with regional and World aggregates that have at least 1 data point after 20101 for this indicator:. </p>
<p><strong>Time series:</strong></p>
<p>Triennial (2011,2014, 2017 and 2021.)</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation are available by: Income, labour force; Age; Education level; Urban/rural; Gender (Adults in the poorest 40 percent of households vs. Adults in the richest 60 percent of households); Participation in labour force (In labor force vs. Out of labor force); Age (Ages 15-25 vs. Age 25+); Education level (Primary and below vs. Primary and above); Urbanicity of residence (Rural vs. Urban ); Gender (Female vs. Male)</p>
9 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 8-10-2
  3. French
<p><strong>Data availability: </strong></p>
<p>There are 161 countries with regional and World aggregates that have at least 1 data point after 2010 for this indicator: </p>
<p><strong>Time series:</strong></p>
<p>2011,2014, 2017 and 2021.</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation by Income, labour force; Age; Education level; Urban/rural; Gender </p>
<h1>Disponibilité des données</h1>
<h2> <strong> <strong> Description : </strong> </strong> </h2>
<p> Pays disposant d'au moins une observation après 2010 pour cet indicateur : </p>
<ul>
<li> Asie et Pacifique : 35 </li>
<li> Afrique : 38 </li>
<li> Amérique latine et Caraïbes : 21 </li>
<li> Europe, Amérique du Nord, Australie, Nouvelle-Zélande et Japon : 47 </li>
</ul>
<h2> <strong> <strong> Séries chronologiques : </strong> </strong> </h2>
<p> 2011 et 2014. Données recueillies tous les 3 ans. </p>
<h2> <strong> <strong> Désagrégation : </strong> </strong> </h2>
<p> Désagrégation par revenu; âge; niveau d'éducation; urbain / rural; et sexe. </p>
a year ago
User avatar None

Source string changed

  1. SDG Metadata
  2. 8-10-2
  3. French
<p><strong>Data availability: </strong></p>
<p>CountriThere are 161 countries with regional and World aggregates that have at least 1 data point after 2010 for this indicator: </p>
<p> </p>
<p>Asia and Pacific: 35 </p>
<p>Africa: 38 </p>
<p>Latin America and the Caribbean: 21 </p>
<p>Europe, North America, Australia, New Zealand and Japan: 47 </p>
<p><strong>Time series:</strong></p>
<p>2011 and 2014. To be collected every 3 years. <strong>Time series:</strong></p>
<p>2011,2014, 2017 and 2021.</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation by Income, labour force; Age; Education level; Urban/rural; Gender </p>
a year ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 8-10-2
  3. French
<p><strong>Data availability: </strong></p>
<p>Countries that have at least 1 data point after 2010 for this indicator: </p>
<p> </p>
<p>Asia and Pacific: 35 </p>
<p>Africa: 38 </p>
<p>Latin America and the Caribbean: 21 </p>
<p>Europe, North America, Australia, New Zealand and Japan: 47 </p>
<p><strong>Time series:</strong></p>
<p>2011 and 2014. To be collected every 3 years. </p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation by Income; Age; Education level; Urban/rural; Gender </p>
<h1>Disponibilité des données</h1>
<h2> <strong> <strong> Description : </strong> </strong> </h2>
<p> Pays disposant d'au moins une observation après 2010 pour cet indicateur : </p>
<ul>
<li> Asie et Pacifique : 35 </li>
<li> Afrique : 38 </li>
<li> Amérique latine et Caraïbes : 21 </li>
<li> Europe, Amérique du Nord, Australie, Nouvelle-Zélande et Japon : 47 </li>
</ul>
<h2> <strong> <strong> Séries chronologiques : </strong> </strong> </h2>
<p> 2011 et 2014. Données recueillies tous les 3 ans. </p>
<h2> <strong> <strong> Désagrégation : </strong> </strong> </h2>
<p> Désagrégation par revenu; âge; niveau d'éducation; urbain / rural; et sexe. </p>
2 years ago
User avatar None

Source string changed

  1. SDG Metadata
  2. 8-10-2
  3. French
<h1p><strong>Data availability</h1>
<h2><strong><strong>Description:</strong></strong></h2: </strong></p>
<p>Countries that have at least 1 data point after 2010 for this indicator: </p>
<ul>
<lip> </p>
<p>Asia and Pacific: 35 </li>
<lip>
<p>Africa: 38 </li>
<lip>
<p>Latin America and the Caribbean: 21 </li>
<lip>
<p>Europe, North America, Australia, New Zealand and Japan: 47 </li>
</ul>
<h2p>
<p><strong><strong>Time series:</strong></strong></h2p>
<p>2011 and 2014. To be collected every 3 years. </p>
<h2p><strong><strong>Disaggregation:</strong></strong></h2p>
<p>Disaggregation by Income; Age; Education level; Urban/rural; Gender </p>
2 years ago
User avatar brockfanning

Bulk status changed

  1. SDG Metadata
  2. 8-10-2
  3. French
<p><strong>Data availability: </strong></p>
<p>There are 162 countries with regional and World aggregates that have at least 1 data point after 2011 for this indicator. </p>
<p><strong>Time series:</strong></p>
<p>Triennial (2011,2014, 2017 and 2021)</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation are available by: Income (Adults in the poorest 40 percent of households vs. Adults in the richest 60 percent of households); Participation in labour force (In labor force vs. Out of labor force); Age (Ages 15-25 vs. Age 25+); Education level (Primary and below vs. Primary and above); Urbanicity of residence (Rural vs. Urban ); Gender (Female vs. Male)</p>
<h1>Disponibilité des données</h1>
<h2> <strong> <strong> Description : </strong> </strong> </h2>
<p> Pays disposant d'au moins une observation après 2010 pour cet indicateur : </p>
<ul>
<li> Asie et Pacifique : 35 </li>
<li> Afrique : 38 </li>
<li> Amérique latine et Caraïbes : 21 </li>
<li> Europe, Amérique du Nord, Australie, Nouvelle-Zélande et Japon : 47 </li>
</ul>
<h2> <strong> <strong> Séries chronologiques : </strong> </strong> </h2>
<p> 2011 et 2014. Données recueillies tous les 3 ans. </p>
<h2> <strong> <strong> Désagrégation : </strong> </strong> </h2>
<p> Désagrégation par revenu; âge; niveau d'éducation; urbain / rural; et sexe. </p>
2 years ago
User avatar brockfanning

Bulk status changed

  1. SDG Metadata
  2. 8-10-2
  3. French
<p><strong>Data availability: </strong></p>
<p>There are 162 countries with regional and World aggregates that have at least 1 data point after 2011 for this indicator. </p>
<p><strong>Time series:</strong></p>
<p>Triennial (2011,2014, 2017 and 2021)</p>
<p><strong>Disaggregation:</strong></p>
<p>Disaggregation are available by: Income (Adults in the poorest 40 percent of households vs. Adults in the richest 60 percent of households); Participation in labour force (In labor force vs. Out of labor force); Age (Ages 15-25 vs. Age 25+); Education level (Primary and below vs. Primary and above); Urbanicity of residence (Rural vs. Urban ); Gender (Female vs. Male)</p>
<h1>Disponibilité des données</h1>
<h2> <strong> <strong> Description : </strong> </strong> </h2>
<p> Pays disposant d'au moins une observation après 2010 pour cet indicateur : </p>
<ul>
<li> Asie et Pacifique : 35 </li>
<li> Afrique : 38 </li>
<li> Amérique latine et Caraïbes : 21 </li>
<li> Europe, Amérique du Nord, Australie, Nouvelle-Zélande et Japon : 47 </li>
</ul>
<h2> <strong> <strong> Séries chronologiques : </strong> </strong> </h2>
<p> 2011 et 2014. Données recueillies tous les 3 ans. </p>
<h2> <strong> <strong> Désagrégation : </strong> </strong> </h2>
<p> Désagrégation par revenu; âge; niveau d'éducation; urbain / rural; et sexe. </p>
2 years ago
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Glossary

English French
Data availability Disponibilité des données SDG Metadata
Disaggregation Désagrégation SDG Metadata
Disaggregation Désagrégation SDG Metadata

To separate into components parts, to divide a total into subtotals
Time series Séries chronologiques SDG Metadata
Time Series Séries chronologiques SDG Metadata

String information

Key
COVERAGE
Flags
ignore-inconsistent
String age
3 years ago
Last updated
9 months ago
Source string age
3 years ago
Translation file
translations-metadata/fr/8-10-2.yml, string 29