Statistical performance indicators (SPI): Pillar 1 data use score in Marshall Islands

Marshall Islands: Statistical performance indicators (SPI): Pillar 1 data use score was 30 scale 0-100 in 2024. ▲ Rising

Latest (2024)
30 scale 0-100
Change on year
unchanged
World rank
207th
of 217 countries
All-time high
30 scale 0-100
in 2010
All-time low
0 scale 0-100
in 2005
Years of data
21
2004–2024

Statistical performance indicators (SPI): Pillar 1 data use score in Marshall Islands, 2004–2024

01020302004201420242004: 20 scale 0-1002005: 0 scale 0-1002006: 0 scale 0-1002007: 20 scale 0-1002008: 20 scale 0-1002009: 20 scale 0-1002010: 30 scale 0-1002011: 30 scale 0-1002012: 30 scale 0-1002013: 10 scale 0-1002014: 10 scale 0-1002015: 20 scale 0-1002016: 20 scale 0-1002017: 20 scale 0-1002018: 20 scale 0-1002019: 20 scale 0-1002020: 30 scale 0-1002021: 30 scale 0-1002022: 30 scale 0-1002023: 30 scale 0-1002024: 30 scale 0-100

Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.

Analysis

In 2024, statistical performance indicators (spi): pillar 1 data use score in Marshall Islands stood at 30 scale 0-100. That is the highest value across all 21 years on record.

The figure is up 200.0% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Marshall Islands peaked at 30 scale 0-100 in 2010 and was at its lowest, 0 scale 0-100, in 2005.

Marshall Islands ranks 207th of 217 countries on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 21 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 13.33 scale 0-100 0 scale 0-100 20 scale 0-100 6
2010s 21 scale 0-100 10 scale 0-100 30 scale 0-100 10
2020s 30 scale 0-100 30 scale 0-100 30 scale 0-100 5

Countries ranked near Marshall Islands

  1. 207 Cayman Islands 30 scale 0-100 compare
  2. 207 Congo 30 scale 0-100 compare
  3. 207 Sint Maarten (Dutch part) 30 scale 0-100 compare

See the full ranking of 221 places →

More public sector data for Marshall Islands

All data for Marshall Islands →

Frequently asked questions

What is statistical performance indicators (spi): pillar 1 data use score in Marshall Islands?
Statistical performance indicators (spi): pillar 1 data use score in Marshall Islands was 30 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in Marshall Islands?
The highest recorded value was 30 scale 0-100 in 2010.
What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Marshall Islands?
The lowest recorded value was 0 scale 0-100 in 2005.
How does Marshall Islands rank for statistical performance indicators (spi): pillar 1 data use score?
Marshall Islands ranks 207th out of 217 countries with data for 2024.
Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Marshall Islands?
Over the last ten years it is up 200.0%. 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 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.

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About this data

Indicator
Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)
Unit
scale 0-100
Source
Statistical Performance Indicators, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
221 places, 4,593 data points, 2004–2024
Last refreshed

The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.