Pillar 5 - Data Infrastructure - Score in Maldives
Maldives: Pillar 5 - Data Infrastructure - Score was 60 in 2023. ▲ Rising
Latest (2023)
60
Change on year
up 71.4%
World rank
95th
of 191 countries
All-time high
60
in 2023
All-time low
35
in 2016
Years of data
8
2016–2023
Pillar 5 - Data Infrastructure - Score in Maldives, 2016–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Maldives recorded 60 for pillar 5 - data infrastructure - score in 2023. That is the highest value across all 8 years on record.
Compared with earlier readings it is up 71.4% on the previous year and up 71.4% over ten years.
Maldives ranks 95th of 191 countries on this measure, in the middle of the range.
Pillar 5 - Data Infrastructure - Score in Maldives, year by year
| Year | Value | Change |
|---|---|---|
| 2016 | 35 | — |
| 2017 | 35 | +0.0% |
| 2018 | 40 | +14.3% |
| 2019 | 50 | +25.0% |
| 2020 | 45 | -10.0% |
| 2021 | 35 | -22.2% |
| 2022 | 35 | +0.0% |
| 2023 | 60 | +71.4% |
Maldives compared with similar countries
- Maldives's 60 is below the median for upper middle income countries, which is 65, 92% of the median. (58 countries reporting)
- Maldives's 60 is above the median for South Asia, which is 57.5, 1.0× the median. (6 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 40 | 35 | 50 | 4 |
| 2020s | 43.75 | 35 | 60 | 4 |
Countries ranked near Maldives
- 95 Botswana 60 compare
- 95 China 60 compare
- 95 Ecuador 60 compare
- 95 Eswatini 60 compare
- 95 Fiji 60 compare
- 95 Ghana 60 compare
- 95 Kuwait 60 compare
- 95 Lesotho 60 compare
- 95 Liberia 60 compare
- 95 Mauritania 60 compare
- 95 Mozambique 60 compare
- 95 Myanmar 60 compare
- 95 Namibia 60 compare
- 95 Pakistan 60 compare
- 95 Panama 60 compare
- 95 Samoa 60 compare
- 95 Sri Lanka 60 compare
- 95 Togo 60 compare
- 95 Tunisia 60 compare
- 95 Zimbabwe 60 compare
More reference data data for Maldives
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0011 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0011 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0044 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0044 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 1.16 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 0.012 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop 0.0004 (2050)
Frequently asked questions
- What is pillar 5 - data infrastructure - score in Maldives?
- Pillar 5 - data infrastructure - score in Maldives was 60 in 2023, according to Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
- What is the highest pillar 5 - data infrastructure - score recorded in Maldives?
- The highest recorded value was 60 in 2023.
- What is the lowest pillar 5 - data infrastructure - score recorded in Maldives?
- The lowest recorded value was 35 in 2016.
- How does Maldives rank for pillar 5 - data infrastructure - score?
- Maldives ranks 95th out of 191 countries with data for 2023.
- Is pillar 5 - data infrastructure - score rising or falling in Maldives?
- Over the last ten years it is up 71.4%. The long-run trend across the full record is rising.
- Where does this Maldives data come from?
- The figures come from Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as part of Pillar 5 - Data Infrastructure - Score. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 8 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Standards and methodology used in classification