Statistical performance indicators (SPI): Pillar 4 data sources score in Marshall Islands
Marshall Islands: Statistical performance indicators (SPI): Pillar 4 data sources score was 36.1 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Marshall Islands, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 4 data sources score in Marshall Islands stood at 36.1 scale 0-100. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 6.4% on the previous year and up 110.7% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Marshall Islands peaked at 36.1 scale 0-100 in 2024 and was at its lowest, 13.13 scale 0-100, in 2018.
That places Marshall Islands 154th out of 181 countries with data for 2024, putting it in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 15.42 scale 0-100 | 13.13 scale 0-100 | 17.13 scale 0-100 | 5 |
| 2020s | 31.48 scale 0-100 | 18.38 scale 0-100 | 36.1 scale 0-100 | 5 |
Countries ranked near Marshall Islands
More public sector data for Marshall Islands
- Tax revenue 17.2% (2020)
- Taxes on income, profits and capital gains 9.7% (2020)
- Taxes on goods and services 8.4% (2020)
- Net investment in nonfinancial assets 8.8% (2020)
- Net lending (+) / net borrowing (-) 5.0% (2020)
- Interest payments 0.4% (2020)
- Grants and other revenue 75.8% (2020)
- Interest payments 0.5% (2020)
- Other taxes 0.8% (2020)
- Compensation of employees 35.3% (2020)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Marshall Islands?
- Statistical performance indicators (spi): pillar 4 data sources score in Marshall Islands was 36.1 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in Marshall Islands?
- The highest recorded value was 36.1 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Marshall Islands?
- The lowest recorded value was 13.13 scale 0-100 in 2018.
- How does Marshall Islands rank for statistical performance indicators (spi): pillar 4 data sources score?
- Marshall Islands ranks 154th out of 181 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Marshall Islands?
- Over the last ten years it is up 110.7%. The long-run trend across the full record is rising.
- Where does this Marshall Islands data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.