Health system composite index in Middle East, North Africa, Afghanistan & Pakistan
Middle East, North Africa, Afghanistan & Pakistan: Health system composite index was -0.1401 standard deviations from the yearly mean in 2024. ▲ Rising
Health system composite index in Middle East, North Africa, Afghanistan & Pakistan, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in Middle East, North Africa, Afghanistan & Pakistan is -0.1401 standard deviations from the yearly mean, measured in 2024.
The figure is down 12.0% on the previous year and up 62.0% over ten years.
Over the whole period, health system composite index in Middle East, North Africa, Afghanistan & Pakistan peaked at -0.1251 standard deviations from the yearly mean in 2023 and was at its lowest, -0.5577 standard deviations from the yearly mean, in 1981.
Middle East, North Africa, Afghanistan & Pakistan ranks 26th of 45 groups on this measure, 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, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -0.5433 standard deviations from the yearly mean | — |
| 1981 | -0.5577 standard deviations from the yearly mean | +2.7% |
| 1982 | -0.4845 standard deviations from the yearly mean | -13.1% |
| 1983 | -0.4962 standard deviations from the yearly mean | +2.4% |
| 1984 | -0.4 standard deviations from the yearly mean | -19.4% |
| 1985 | -0.1761 standard deviations from the yearly mean | -56.0% |
| 1986 | -0.1992 standard deviations from the yearly mean | +13.1% |
| 1987 | -0.2288 standard deviations from the yearly mean | +14.9% |
| 1988 | -0.1394 standard deviations from the yearly mean | -39.1% |
| 1989 | -0.2276 standard deviations from the yearly mean | +63.3% |
| 1990 | -0.2842 standard deviations from the yearly mean | +24.9% |
| 1991 | -0.2187 standard deviations from the yearly mean | -23.0% |
| 1992 | -0.1711 standard deviations from the yearly mean | -21.8% |
| 1993 | -0.1923 standard deviations from the yearly mean | +12.4% |
| 1994 | -0.2263 standard deviations from the yearly mean | +17.7% |
| 1995 | -0.3306 standard deviations from the yearly mean | +46.1% |
| 1996 | -0.2797 standard deviations from the yearly mean | -15.4% |
| 1997 | -0.2728 standard deviations from the yearly mean | -2.4% |
| 1998 | -0.2053 standard deviations from the yearly mean | -24.7% |
| 1999 | -0.1918 standard deviations from the yearly mean | -6.6% |
| 2000 | -0.2052 standard deviations from the yearly mean | +7.0% |
| 2001 | -0.2181 standard deviations from the yearly mean | +6.2% |
| 2002 | -0.2416 standard deviations from the yearly mean | +10.8% |
| 2003 | -0.2666 standard deviations from the yearly mean | +10.4% |
| 2004 | -0.2513 standard deviations from the yearly mean | -5.8% |
| 2005 | -0.3311 standard deviations from the yearly mean | +31.8% |
| 2006 | -0.3857 standard deviations from the yearly mean | +16.5% |
| 2007 | -0.4267 standard deviations from the yearly mean | +10.7% |
| 2008 | -0.4693 standard deviations from the yearly mean | +10.0% |
| 2009 | -0.4768 standard deviations from the yearly mean | +1.6% |
| 2010 | -0.4793 standard deviations from the yearly mean | +0.5% |
| 2011 | -0.4909 standard deviations from the yearly mean | +2.4% |
| 2012 | -0.5394 standard deviations from the yearly mean | +9.9% |
| 2013 | -0.4301 standard deviations from the yearly mean | -20.3% |
| 2014 | -0.3689 standard deviations from the yearly mean | -14.2% |
| 2015 | -0.3087 standard deviations from the yearly mean | -16.3% |
| 2016 | -0.237 standard deviations from the yearly mean | -23.2% |
| 2017 | -0.2516 standard deviations from the yearly mean | +6.2% |
| 2018 | -0.2509 standard deviations from the yearly mean | -0.3% |
| 2019 | -0.2518 standard deviations from the yearly mean | +0.4% |
| 2020 | -0.2018 standard deviations from the yearly mean | -19.9% |
| 2021 | -0.1698 standard deviations from the yearly mean | -15.9% |
| 2022 | -0.1272 standard deviations from the yearly mean | -25.1% |
| 2023 | -0.1251 standard deviations from the yearly mean | -1.6% |
| 2024 | -0.1401 standard deviations from the yearly mean | +12.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -0.3453 standard deviations from the yearly mean | -0.5577 standard deviations from the yearly mean | -0.1394 standard deviations from the yearly mean | 10 |
| 1990s | -0.2373 standard deviations from the yearly mean | -0.3306 standard deviations from the yearly mean | -0.1711 standard deviations from the yearly mean | 10 |
| 2000s | -0.3272 standard deviations from the yearly mean | -0.4768 standard deviations from the yearly mean | -0.2052 standard deviations from the yearly mean | 10 |
| 2010s | -0.3609 standard deviations from the yearly mean | -0.5394 standard deviations from the yearly mean | -0.237 standard deviations from the yearly mean | 10 |
| 2020s | -0.1528 standard deviations from the yearly mean | -0.2018 standard deviations from the yearly mean | -0.1251 standard deviations from the yearly mean | 5 |
Countries ranked near Middle East, North Africa, Afghanistan & Pakistan
- 23 Oman 0.9814 standard deviations from the yearly mean compare
- 24 Slovenia 0.9794 standard deviations from the yearly mean compare
- 25 Finland 0.9458 standard deviations from the yearly mean compare
- 26 Denmark 0.9398 standard deviations from the yearly mean compare
- 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
More health data for Middle East, North Africa, Afghanistan & Pakistan
- Population ages 40-44, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, male, annual growth rate 1.93 % change on previous year (2025)
- Population ages 35-39, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, male, per capita 0.0387 units per person (2025)
- Population ages 40-44, female, annual growth rate 3.33 % change on previous year (2025)
- Population ages 40-44, male, annual growth rate 3.14 % change on previous year (2025)
- Population ages 40-44, male, per capita 0.0337 units per person (2025)
- Population ages 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, female, per capita 0.0344 units per person (2025)
- Population ages 40-44, female, per capita 0.0305 units per person (2025)
All data for Middle East, North Africa, Afghanistan & Pakistan →
Frequently asked questions
- What is health system composite index in Middle East, North Africa, Afghanistan & Pakistan?
- Health system composite index in Middle East, North Africa, Afghanistan & Pakistan was -0.1401 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?
- The highest recorded value was -0.1251 standard deviations from the yearly mean in 2023.
- What is the lowest health system composite index recorded in Middle East, North Africa, Afghanistan & Pakistan?
- The lowest recorded value was -0.5577 standard deviations from the yearly mean in 1981.
- How does Middle East, North Africa, Afghanistan & Pakistan rank for health system composite index?
- Middle East, North Africa, Afghanistan & Pakistan ranks 26th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Middle East, North Africa, Afghanistan & Pakistan?
- Over the last ten years it is up 62.0%. The long-run trend across the full record is rising.
- Where does this Middle East, North Africa, Afghanistan & Pakistan 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.