Statistical performance indicators (SPI): Pillar 4 data sources score in Jamaica

Jamaica: Statistical performance indicators (SPI): Pillar 4 data sources score was 59.21 scale 0-100 in 2024. ▬ Flat

Latest (2024)
59.21 scale 0-100
Change on year
down 2.8%
World rank
94th
of 182 countries
All-time high
64.93 scale 0-100
in 2021
All-time low
56.6 scale 0-100
in 2019
Years of data
10
2015–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Jamaica, 2015–2024

02040602015201920242015: 62.1 scale 0-1002016: 61.8 scale 0-1002017: 60.8 scale 0-1002018: 58.2 scale 0-1002019: 56.6 scale 0-1002020: 58.3 scale 0-1002021: 64.9 scale 0-1002022: 59.2 scale 0-1002023: 60.9 scale 0-1002024: 59.2 scale 0-100

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

Analysis

The most recent figure for statistical performance indicators (spi): pillar 4 data sources score in Jamaica is 59.21 scale 0-100, measured in 2024.

That represents a change of down 2.8% on the previous year and down 4.6% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Jamaica peaked at 64.93 scale 0-100 in 2021 and was at its lowest, 56.6 scale 0-100, in 2019.

Jamaica ranks 94th of 182 countries on this measure, in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 59.92 scale 0-100 56.6 scale 0-100 62.09 scale 0-100 5
2020s 60.51 scale 0-100 58.3 scale 0-100 64.93 scale 0-100 5

Countries ranked near Jamaica

  1. 91 Bolivia 60.19 scale 0-100 compare
  2. 92 Ecuador 60.02 scale 0-100 compare
  3. 93 Tajikistan 59.86 scale 0-100 compare
  4. 95 Indonesia 58.73 scale 0-100 compare
  5. 96 Ukraine 58.28 scale 0-100 compare
  6. 97 Suriname 58.02 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Jamaica

All data for Jamaica →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Jamaica?
Statistical performance indicators (spi): pillar 4 data sources score in Jamaica was 59.21 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 Jamaica?
The highest recorded value was 64.93 scale 0-100 in 2021.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Jamaica?
The lowest recorded value was 56.6 scale 0-100 in 2019.
How does Jamaica rank for statistical performance indicators (spi): pillar 4 data sources score?
Jamaica ranks 94th out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Jamaica?
Over the last ten years it is down 4.6%. The long-run trend across the full record is flat.
Where does this Jamaica 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

Indicator
Statistical performance indicators (SPI): Pillar 4 data sources 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
186 places, 1,766 data points, 2015–2024
Last refreshed

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.