Pillar 5 - Data Infrastructure - Score in Morocco
Morocco: Pillar 5 - Data Infrastructure - Score was 55 in 2023. ▲ Rising
Latest (2023)
55
Change on year
up 22.2%
World rank
116th
of 191 countries
All-time high
55
in 2023
All-time low
30
in 2016
Years of data
8
2016–2023
Pillar 5 - Data Infrastructure - Score in Morocco, 2016–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
The most recent figure for pillar 5 - data infrastructure - score in Morocco is 55, measured in 2023. That is the highest value across all 8 years on record.
That represents a change of up 22.2% on the previous year and up 83.3% over ten years.
That places Morocco 116th out of 191 countries with data for 2023, putting it in the middle of the range.
Pillar 5 - Data Infrastructure - Score in Morocco, year by year
| Year | Value | Change |
|---|---|---|
| 2016 | 30 | — |
| 2017 | 50 | +66.7% |
| 2018 | 45 | -10.0% |
| 2019 | 50 | +11.1% |
| 2020 | 50 | +0.0% |
| 2021 | 45 | -10.0% |
| 2022 | 45 | +0.0% |
| 2023 | 55 | +22.2% |
Morocco compared with similar countries
- Morocco's 55 is above the median for lower middle income countries, which is 55, 1.0× the median. (47 countries reporting)
- Morocco's 55 is above the median for Middle East, North Africa, Afghanistan & Pakistan, which is 55, 1.0× the median. (23 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 43.75 | 30 | 50 | 4 |
| 2020s | 48.75 | 45 | 55 | 4 |
Countries ranked near Morocco
- 116 Afghanistan 55 compare
- 116 Belize 55 compare
- 116 Bolivia 55 compare
- 116 Cape Verde 55 compare
- 116 Cambodia 55 compare
- 116 Cameroon 55 compare
- 116 Djibouti 55 compare
- 116 Gambia 55 compare
- 116 Guinea 55 compare
- 116 Nepal 55 compare
- 116 Nicaragua 55 compare
- 116 Peru 55 compare
- 116 San Marino 55 compare
- 116 Saint Lucia 55 compare
- 116 Suriname 55 compare
- 116 Tanzania 55 compare
More reference data data for Morocco
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.34 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.89 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 8.9 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.4441 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 8.9 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.14 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.4159 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 21.09 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 38.3 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 2.42 (2050)
Frequently asked questions
- What is pillar 5 - data infrastructure - score in Morocco?
- Pillar 5 - data infrastructure - score in Morocco was 55 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 Morocco?
- The highest recorded value was 55 in 2023.
- What is the lowest pillar 5 - data infrastructure - score recorded in Morocco?
- The lowest recorded value was 30 in 2016.
- How does Morocco rank for pillar 5 - data infrastructure - score?
- Morocco ranks 116th out of 191 countries with data for 2023.
- Is pillar 5 - data infrastructure - score rising or falling in Morocco?
- Over the last ten years it is up 83.3%. The long-run trend across the full record is rising.
- Where does this Morocco 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