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Téléchargements
Tous les documents de l'IIAG 2022, y compris le rapport, les messages clés et les outils de données et d'analyse, peuvent être téléchargés sur cette page.
Les profils de pays et les tableaux de bord peuvent être téléchargés individuellement sur les pages d'informations sur les pays respectifs.
Documents clé
- Rapport 2022 de l'IIAG (pdf)
- IIAG 2022 : Principales conclusions (pdf)
- Profils pays (pdf)
Données brutes et fichiers d’analyse
- Scores IIAG 2022 (xlsx)
- Portail de données – outil d’analyse complète (xlsb)
- Métadonnées IIAG 2022 - informations sur toutes les mesures et sources utilisées dans l'IIAG 2022 (xlsx)
Téléchargements par pays
Afrique du Sud
Algérie
Angola
Bénin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroun
Comores
Congo Republic
Côte d'Ivoire
Djibouti
Égypte
Érythrée
Eswatini
Éthiopie
Gabon
Gambie
Ghana
Guinée
Guinée équatoriale
Guinée-Bissau
Kenya
Lesotho
Libéria
Libye
Madagascar
Malawi
Mali
Maroc
Maurice
Mauritanie
Mozambique
Namibie
Niger
Nigéria
Ouganda
République centrafricaine
République démocratique du Congo
Rwanda
Sao Tomé-et-Principe
Sénégal
Seychelles
Sierra Leone
Somalie
Soudan
Soudan du Sud
Tanzanie
Tchad
Togo
Tunisie
Zambie
Zimbabwe
| {country} |
| {country} |
About {classification}
The 2018 IIAG focuses on assessing country trends in the last five years (2013-2017), within
the
context of the last decade (2008-2017). Whilst a country can either improve or deteriorate
over
the
decade, the trend displayed in recent years shows important and useful characteristics for
analysis.
Whilst registering improvement over the decade, a country can, over the last five
years:
Increase its rate of improvement;
Slow its rate of improvement;
Show recent decline.
Similarly, a country showing decline over the decade can, over the last five
years:
Increase its rate of decline;
Slow its rate of decline;
Show recent improvement.
In order to capture these ‘trends within trends’, countries are classified according to the
direction and size of their annual average trend in the most recent five years, compared to
the
direction and size of their annual average trend shown over a decade.
The time periods used for analysis are:
Ten-year period: 2008-2017
Five-year period: 2013-2017
| Classification | Characteristic |
| Improved | |
| Progress over the last ten years, with the rate of improvement increasing | |
| Progress over the last ten years, with the rate of improvement slowing | |
| Decline (or no change) over the last ten years, but showing recent progress * | |
| Deteriorated | |
| Progress (or no change) over the last ten years, but showing recent decline * | |
| Decline over the last ten years, but the rate of decline is slowing | |
| Decline over the last ten years, with the rate of decline increasing |
Where trends are static (show no change), the following classifications are applied: Static
(over
ten years) to decline (over five years): ‘Warning Signs’ | Improve (over ten years) to
static
(over five years): ‘Warning Signs’ | Decline (over ten years) to static (over five years):
‘Bouncing
Back’ | Static (over ten years) to improve (over five years): ‘Bouncing Back’
A 'No Change' classification is applied in three instances. 1. When the annual average trend
is
exactly the same in both periods (if annual average trend appears the same but a
classification
is
given, differences will exist beyond the second decimal place). 2. When a country/group
achieves
the
best possible score (100.0) in 2012 and in 2016. 3. When a country/group achieves the worst
possible
score (0.0) in 2012 and 2016. In these latter two, no classification can be applied as
scores
cannot
go higher or lower.
‘Not classified’ is applied when a country achieves the best possible score of 100.0 after
2013
and
maintains it until 2017, or the worst possible score of 0.0 after 2013 and maintains it
until
2017,
or country data is not available for 2008, 2013 or 2017. In these instances it is not deemed
that
the characteristics of the trends match any classifications.
|
{rank_2010} | {rank_2011} | {rank_2012} | {rank_2013} | {rank_2014} | {rank_2015} | {rank_2016} | {rank_2017} | {rank_2018} | {rank_2019} | {rank_change} | {score_2010} | {score_2011} | {score_2012} | {score_2013} | {score_2014} | {score_2015} | {score_2016} | {score_2017} | {score_2018} | {score_2019} | {score_range_1} | {score_range_2} | {score_change_1} | {score_change_2} | {score_classification} |
About {location}
Region: {region}
REC membership(s): {memberships}
2020 IIAG Summary
Overall governance
{governance_summary}
Comparison to average scores
{comparison_summary}
Highest & lowest scores
{highest_lowest_summary}
À propos de Voix des citoyens
Les citoyens étant les destinataires du leadership et de la gouvernance publiques, l'évaluation de la performance de la gouvernance doit être ancrée dans les résultats des citoyens et ne peut se contenter des données issues des bilans officiels et des évaluations d’experts.
La Fondation Mo Ibrahim soutient et travaille avec Afrobarometer, la principale institution de recherche panafricaine menant des enquêtes d'opinion publique sur le continent, et le cadre de l'IIAG 2022 leur accorde une plus grande importance. Auparavant éparpillées à différents niveaux de l’IIAG, les évaluations des citoyens sur les différentes composantes de la gouvernance sont désormais mises en avant dans une section Voix des Citoyens pour compléter les résultats de l’IIAG avec la réalité sur le terrain.
Cette section reflète les catégories de l'IIAG et fournit des données sur la perception des citoyens sur les variables proxys les plus proches des mesures de l'IIAG. Néanmoins, bien que ces mesures soient disponibles pour être comparées à celles de l’IIAG, il est important de préciser que leurs scores ne font pas partie du calcul de la Gouvernance globale.
Rename this view
About Quick Selection
Use these links to quickly select multiple measures at once.
Please note that this will not select any measures from the Citizens’ Voices section. To add those, simply scroll down to Public Perception of Overall Governance and use the quick select options there.
About this chart
Radar (or spider) charts are used to plot one or more groups of values over multiple common variables. Each variable has its own axis, and all axes are joined in the centre of the figure. Data from a single set of results are plotted along each axis and connected to form a polygon.
This radial chart compares the 16 IIAG sub-category scores in latest data year (2019) for the location of choice, alongside the African average scores.
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for
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{subject}
2018 Ibrahim Index of African Governance | iiag.online
{child}
Out of 100.0
{subject}
Out of 100.0
{ch_at}
{ch_aat}
{change_0} AAT since 2010{change_1} AAT since 2015 Absolute trend since 2010
About {subject}
{measure_description}