Health system composite index in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD)
Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD): Health system composite index was -0.2291 standard deviations from the yearly mean in 2024. ▲ Rising
Health system composite index in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD), 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) recorded -0.2291 standard deviations from the yearly mean for health system composite index in 2024.
The figure is down 7.7% on the previous year and up 51.2% over ten years.
Over the whole period, health system composite index in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) peaked at -0.1892 standard deviations from the yearly mean in 1988 and was at its lowest, -0.6475 standard deviations from the yearly mean, in 2012.
That places Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) 30th out of 45 groups with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 45 years of available data.
Health system composite index in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD), year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -0.5834 standard deviations from the yearly mean | — |
| 1981 | -0.6007 standard deviations from the yearly mean | +3.0% |
| 1982 | -0.5461 standard deviations from the yearly mean | -9.1% |
| 1983 | -0.5604 standard deviations from the yearly mean | +2.6% |
| 1984 | -0.4636 standard deviations from the yearly mean | -17.3% |
| 1985 | -0.2309 standard deviations from the yearly mean | -50.2% |
| 1986 | -0.2542 standard deviations from the yearly mean | +10.1% |
| 1987 | -0.2843 standard deviations from the yearly mean | +11.9% |
| 1988 | -0.1892 standard deviations from the yearly mean | -33.5% |
| 1989 | -0.2882 standard deviations from the yearly mean | +52.4% |
| 1990 | -0.3418 standard deviations from the yearly mean | +18.6% |
| 1991 | -0.2805 standard deviations from the yearly mean | -17.9% |
| 1992 | -0.2261 standard deviations from the yearly mean | -19.4% |
| 1993 | -0.2562 standard deviations from the yearly mean | +13.3% |
| 1994 | -0.2963 standard deviations from the yearly mean | +15.6% |
| 1995 | -0.402 standard deviations from the yearly mean | +35.7% |
| 1996 | -0.3514 standard deviations from the yearly mean | -12.6% |
| 1997 | -0.3449 standard deviations from the yearly mean | -1.9% |
| 1998 | -0.2722 standard deviations from the yearly mean | -21.1% |
| 1999 | -0.2588 standard deviations from the yearly mean | -4.9% |
| 2000 | -0.275 standard deviations from the yearly mean | +6.3% |
| 2001 | -0.2894 standard deviations from the yearly mean | +5.2% |
| 2002 | -0.3178 standard deviations from the yearly mean | +9.8% |
| 2003 | -0.346 standard deviations from the yearly mean | +8.9% |
| 2004 | -0.3299 standard deviations from the yearly mean | -4.6% |
| 2005 | -0.416 standard deviations from the yearly mean | +26.1% |
| 2006 | -0.473 standard deviations from the yearly mean | +13.7% |
| 2007 | -0.5192 standard deviations from the yearly mean | +9.8% |
| 2008 | -0.5667 standard deviations from the yearly mean | +9.2% |
| 2009 | -0.5753 standard deviations from the yearly mean | +1.5% |
| 2010 | -0.5787 standard deviations from the yearly mean | +0.6% |
| 2011 | -0.5931 standard deviations from the yearly mean | +2.5% |
| 2012 | -0.6475 standard deviations from the yearly mean | +9.2% |
| 2013 | -0.5338 standard deviations from the yearly mean | -17.6% |
| 2014 | -0.4691 standard deviations from the yearly mean | -12.1% |
| 2015 | -0.4099 standard deviations from the yearly mean | -12.6% |
| 2016 | -0.3366 standard deviations from the yearly mean | -17.9% |
| 2017 | -0.3521 standard deviations from the yearly mean | +4.6% |
| 2018 | -0.3533 standard deviations from the yearly mean | +0.3% |
| 2019 | -0.3468 standard deviations from the yearly mean | -1.8% |
| 2020 | -0.3009 standard deviations from the yearly mean | -13.2% |
| 2021 | -0.2642 standard deviations from the yearly mean | -12.2% |
| 2022 | -0.2122 standard deviations from the yearly mean | -19.7% |
| 2023 | -0.2127 standard deviations from the yearly mean | +0.2% |
| 2024 | -0.2291 standard deviations from the yearly mean | +7.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -0.4001 standard deviations from the yearly mean | -0.6007 standard deviations from the yearly mean | -0.1892 standard deviations from the yearly mean | 10 |
| 1990s | -0.303 standard deviations from the yearly mean | -0.402 standard deviations from the yearly mean | -0.2261 standard deviations from the yearly mean | 10 |
| 2000s | -0.4108 standard deviations from the yearly mean | -0.5753 standard deviations from the yearly mean | -0.275 standard deviations from the yearly mean | 10 |
| 2010s | -0.4621 standard deviations from the yearly mean | -0.6475 standard deviations from the yearly mean | -0.3366 standard deviations from the yearly mean | 10 |
| 2020s | -0.2438 standard deviations from the yearly mean | -0.3009 standard deviations from the yearly mean | -0.2122 standard deviations from the yearly mean | 5 |
Countries ranked near Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD)
- 27 Germany 0.9088 standard deviations from the yearly mean compare
- 28 Australia 0.8853 standard deviations from the yearly mean compare
- 29 San Marino 0.8611 standard deviations from the yearly mean compare
- 30 Canada 0.8544 standard deviations from the yearly mean compare
- 31 Ireland 0.8449 standard deviations from the yearly mean compare
- 32 Cuba 0.8379 standard deviations from the yearly mean compare
- 33 Chile 0.8376 standard deviations from the yearly mean compare
More health data for Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD)
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 10-14, female, per capita 0.0525 units per person (2025)
- Population ages 50-54, female, annual growth rate 2.77 % change on previous year (2025)
- Population ages 45-49, male, per capita 0.0257 units per person (2025)
- Population ages 45-49, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 10-14, male, annual growth rate 1.26 % change on previous year (2025)
- Population ages 45-49, male, annual growth rate 3.55 % change on previous year (2025)
- Population ages 45-49, female, per capita 0.0252 units per person (2025)
- Population ages 40-44, male, annual growth rate 3.1 % change on previous year (2025)
- Population ages 10-14, male, per capita 0.0551 units per person (2025)
All data for Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) →
Frequently asked questions
- What is health system composite index in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD)?
- Health system composite index in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) was -0.2291 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD)?
- The highest recorded value was -0.1892 standard deviations from the yearly mean in 1988.
- What is the lowest health system composite index recorded in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD)?
- The lowest recorded value was -0.6475 standard deviations from the yearly mean in 2012.
- How does Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) rank for health system composite index?
- Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) ranks 30th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD)?
- Over the last ten years it is up 51.2%. The long-run trend across the full record is rising.
- Where does this Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) data come from?
- The figures come from Statizoid (derived), published as part of Health system composite index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 45 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
An equal-weighted index of 4 indicators: Life expectancy at birth, total; Physicians per 1000 people; Hospital beds per 1000 people; Immunization, measles. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.
Equal-weighted mean of the standardised inputs below.
Computed from
- Life expectancy at birth, total World Population Prospects, United Nations (UN)
- Medical doctors per 1,000 people World Health Organization (Global Health Workforce Statistics), OECD, and country data, via World Bank (2026) – processed by Our World in Data
- Hospital beds per 1,000 people World Health Organization (WHO) data, via World Bank (2026) – processed by Our World in Data
- Immunization, measles World Health Organization (WHO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
An equal-weighted index of 4 indicators: Life expectancy at birth, total; Physicians per 1000 people; Hospital beds per 1000 people; Immunization, measles. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.