InfraCompass ranks countries across eight drivers: Governance, Regulatory Frameworks, Permits, Planning, Procurement, Activity, Funding Capacity, and Financial Markets. These eight drivers are underpinned by 41 individual metrics.
Select a driver to see the Top 10 performing countries for that driver.
Alternatively, select a flag to go to that country’s page to see details of their performance.
* While data is reported for the Pacific Island countries of Fiji, Papua New Guinea, Samoa, Solomon Islands and Vanuatu, they're not included in the rankings due to data coverage limitations.
InfraCompass helps governments identify strengths and areas for priority action by highlighting each country’s top three performing metrics as well as the three metrics with the greatest opportunities for improvement on a country’s overall performance. Links to best practice materials are also provided to guide users on practical next steps.
Slovak Republic
Top Performing Metrics
This is defined by the metrics with the highest unweighted score out of 100.
Metrics to Improve
This is defined by the metrics with the lowest weighted score out of 100, such that these metrics would have the greatest impact on the overall score.
For metrics that have binary outcomes (yes=100/no=0), no comparative income group average is reported.
Poland
Top Performing Metrics
This is defined by the metrics with the highest unweighted score out of 100.
Metrics to Improve
This is defined by the metrics with the lowest weighted score out of 100, such that these metrics would have the greatest impact on the overall score.
For metrics that have binary outcomes (yes=100/no=0), no comparative income group average is reported.
China
Top Performing Metrics
This is defined by the metrics with the highest unweighted score out of 100.
Metrics to Improve
This is defined by the metrics with the lowest weighted score out of 100, such that these metrics would have the greatest impact on the overall score.
For metrics that have binary outcomes (yes=100/no=0), no comparative income group average is reported.
Indonesia
Top Performing Metrics
This is defined by the metrics with the highest unweighted score out of 100.
Metrics to Improve
This is defined by the metrics with the lowest weighted score out of 100, such that these metrics would have the greatest impact on the overall score.
For metrics that have binary outcomes (yes=100/no=0), no comparative income group average is reported.
Select up to 6 countries, regions or income groups to compare their performance.
Governance
[
{
"legend": "High Income countries",
"axes": [
{
"axis": "Governance",
"value": 70.7812278742237
},
{
"axis": "Regulatory",
"value": 70.9162159220323
},
{
"axis": "Permits",
"value": 79.6718443835343
},
{
"axis": "Planning",
"value": 74.8944732448274
},
{
"axis": "Procurement",
"value": 82.0279865782126
},
{
"axis": "Activity",
"value": 28.3478920171195
},
{
"axis": "Funding",
"value": 64.2902157871403
},
{
"axis": "Financial",
"value": 53.2685692653259
}
]
},
{
"legend": "Low Income countries",
"axes": [
{
"axis": "Governance",
"value": 37.8511851834524
},
{
"axis": "Regulatory",
"value": 47.8668570930999
},
{
"axis": "Permits",
"value": 48.1297849368114
},
{
"axis": "Planning",
"value": 57.5416766989101
},
{
"axis": "Procurement",
"value": 53.2024573593041
},
{
"axis": "Activity",
"value": 52.1690691250386
},
{
"axis": "Funding",
"value": 21.4314107714011
},
{
"axis": "Financial",
"value": 22.4235256511951
}
]
},
{
"legend": "Upper-middle Income countries",
"axes": [
{
"axis": "Governance",
"value": 49.6381955296775
},
{
"axis": "Regulatory",
"value": 56.8059743367113
},
{
"axis": "Permits",
"value": 69.4218152063109
},
{
"axis": "Planning",
"value": 64.4739660591461
},
{
"axis": "Procurement",
"value": 72.5887594005427
},
{
"axis": "Activity",
"value": 40.4879509579961
},
{
"axis": "Funding",
"value": 32.7008615066403
},
{
"axis": "Financial",
"value": 38.1949852605857
}
]
},
{
"legend": "Lower-middle Income countries",
"axes": [
{
"axis": "Governance",
"value": 47.1002076098582
},
{
"axis": "Regulatory",
"value": 51.7389033596988
},
{
"axis": "Permits",
"value": 52.2419263612129
},
{
"axis": "Planning",
"value": 65.0544217195597
},
{
"axis": "Procurement",
"value": 63.9690448035781
},
{
"axis": "Activity",
"value": 42.3860582758039
},
{
"axis": "Funding",
"value": 25.3933211960735
},
{
"axis": "Financial",
"value": 30.9263949019573
}
]
}
]
This spider chart compares driver performance across all four income groups: High Income Countries, Upper Middle Income Countries, Lower Middle Income Countries, and Low Income Countries.
How do countries’ infrastructure enabling environment relate to other macroeconomic and infrastructure variables?
Here we present three interesting insights, and invite you explore and create your own charts.
When interpreting these charts, it should be noted that the relationships shown are correlation only and do not imply causation.
InfraCompass 2020 draws on data published by the World Bank, the Organisation for Economic Co-operation and Development (OECD), the World Economic Forum (WEF), the International Monetary fund (IMF), BIS Oxford Economics, United Nations Conference on Trade and Development, IJ Global, Bloomberg, S&P Global, Trading Economics, Centre d'Études Prospectives et d'Informations Internationales (CEPII) and in-country research conducted by Deloitte. While members of some of these organisations were consulted as part of the Expert Advisory Panel, these organisations were not involved in the development or production of the tool beyond the provision of data.
The development of InfraCompass 2020 has greatly benefited from the advice and contributions of our Expert Advisory Panel. This technical consultative body provided direction and insightful feedback on issues relating to data inputs, methodology and results.
The Expert Panel included, over the course of development of InfraCompass 2020, Sanjay Grover, Nancy Faraday-Smith, Kira Heymans, Cristiana Vitale, Alexis Durand, Lorenzo Casullo and Fernanda Ruiz Nunez.
The GI Hub is pleased to have partnered with Deloitte for InfraCompass 2020. The expertise, perspective and guidance of Deloitte contributed substantially to the InfraCompass framework refresh and helped enhance the InfraCompass tool for our users.
View full charts, graphs and data on the desktop version of the InfraCompass website.