Health system composite index in Moldova
Moldova: Health system composite index was -0.2249 standard deviations from the yearly mean in 2024. ▼ Falling
Health system composite index in Moldova, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Moldova recorded -0.2249 standard deviations from the yearly mean for health system composite index in 2024. That is the lowest value across all 45 years on record.
Compared with earlier readings it is down 144.6% on the previous year and down 156.3% over ten years.
Over the whole period, health system composite index in Moldova peaked at 1.51 standard deviations from the yearly mean in 1981 and was at its lowest, -0.2249 standard deviations from the yearly mean, in 2024.
Moldova ranks 128th of 196 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 45 years of available data.
Health system composite index in Moldova, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | 1.16 standard deviations from the yearly mean | — |
| 1981 | 1.51 standard deviations from the yearly mean | +30.3% |
| 1982 | 1.06 standard deviations from the yearly mean | -29.6% |
| 1983 | 0.8748 standard deviations from the yearly mean | -17.6% |
| 1984 | 1.27 standard deviations from the yearly mean | +45.4% |
| 1985 | 1.01 standard deviations from the yearly mean | -20.9% |
| 1986 | 0.9905 standard deviations from the yearly mean | -1.6% |
| 1987 | 0.9425 standard deviations from the yearly mean | -4.8% |
| 1988 | 0.8961 standard deviations from the yearly mean | -4.9% |
| 1989 | 0.9603 standard deviations from the yearly mean | +7.2% |
| 1990 | 1.37 standard deviations from the yearly mean | +42.8% |
| 1991 | 0.9207 standard deviations from the yearly mean | -32.9% |
| 1992 | 0.6367 standard deviations from the yearly mean | -30.9% |
| 1993 | 0.651 standard deviations from the yearly mean | +2.3% |
| 1994 | 0.7818 standard deviations from the yearly mean | +20.1% |
| 1995 | 0.9079 standard deviations from the yearly mean | +16.1% |
| 1996 | 1.04 standard deviations from the yearly mean | +14.1% |
| 1997 | 1.03 standard deviations from the yearly mean | -0.2% |
| 1998 | 0.9511 standard deviations from the yearly mean | -8.0% |
| 1999 | 0.5477 standard deviations from the yearly mean | -42.4% |
| 2000 | 0.4008 standard deviations from the yearly mean | -26.8% |
| 2001 | 0.4045 standard deviations from the yearly mean | +0.9% |
| 2002 | 0.3904 standard deviations from the yearly mean | -3.5% |
| 2003 | 0.4386 standard deviations from the yearly mean | +12.4% |
| 2004 | 0.4886 standard deviations from the yearly mean | +11.4% |
| 2005 | 0.5029 standard deviations from the yearly mean | +2.9% |
| 2006 | 0.4444 standard deviations from the yearly mean | -11.6% |
| 2007 | 0.4574 standard deviations from the yearly mean | +2.9% |
| 2008 | 0.487 standard deviations from the yearly mean | +6.5% |
| 2009 | 0.4349 standard deviations from the yearly mean | -10.7% |
| 2010 | 0.5946 standard deviations from the yearly mean | +36.7% |
| 2011 | 0.4477 standard deviations from the yearly mean | -24.7% |
| 2012 | 0.4476 standard deviations from the yearly mean | -0.0% |
| 2013 | 0.416 standard deviations from the yearly mean | -7.1% |
| 2014 | 0.3998 standard deviations from the yearly mean | -3.9% |
| 2015 | 0.4379 standard deviations from the yearly mean | +9.5% |
| 2016 | 0.4286 standard deviations from the yearly mean | -2.1% |
| 2017 | 0.5234 standard deviations from the yearly mean | +22.1% |
| 2018 | 0.492 standard deviations from the yearly mean | -6.0% |
| 2019 | 0.6383 standard deviations from the yearly mean | +29.7% |
| 2020 | 0.4151 standard deviations from the yearly mean | -35.0% |
| 2021 | 0.4016 standard deviations from the yearly mean | -3.3% |
| 2022 | 0.462 standard deviations from the yearly mean | +15.1% |
| 2023 | 0.5043 standard deviations from the yearly mean | +9.1% |
| 2024 | -0.2249 standard deviations from the yearly mean | -144.6% |
Moldova compared with similar countries
- Moldova's -0.2249 standard deviations from the yearly mean is below the median for upper middle income countries, which is 0.1594 standard deviations from the yearly mean. (58 countries reporting)
- Moldova's -0.2249 standard deviations from the yearly mean is below the median for Europe & Central Asia, which is 0.6632 standard deviations from the yearly mean. (52 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Moldova changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2024 | -144.6% | 0.5043 standard deviations from the yearly mean | -0.2249 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 1.07 standard deviations from the yearly mean | 0.8748 standard deviations from the yearly mean | 1.51 standard deviations from the yearly mean | 10 |
| 1990s | 0.8838 standard deviations from the yearly mean | 0.5477 standard deviations from the yearly mean | 1.37 standard deviations from the yearly mean | 10 |
| 2000s | 0.445 standard deviations from the yearly mean | 0.3904 standard deviations from the yearly mean | 0.5029 standard deviations from the yearly mean | 10 |
| 2010s | 0.4826 standard deviations from the yearly mean | 0.3998 standard deviations from the yearly mean | 0.6383 standard deviations from the yearly mean | 10 |
| 2020s | 0.3116 standard deviations from the yearly mean | -0.2249 standard deviations from the yearly mean | 0.5043 standard deviations from the yearly mean | 5 |
Countries ranked near Moldova
- 125 Palestine -0.1913 standard deviations from the yearly mean compare
- 126 Uganda -0.2065 standard deviations from the yearly mean compare
- 127 Sao Tome and Principe -0.2161 standard deviations from the yearly mean compare
- 129 Fiji -0.2432 standard deviations from the yearly mean compare
- 130 Syria -0.2482 standard deviations from the yearly mean compare
- 131 North Macedonia -0.2538 standard deviations from the yearly mean compare
More health data for Moldova
- Un projection of annual infant deaths, annual growth rate 0 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.2486 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,492 deaths per 1,000 people (2090)
- Number of infants who die before age 1 29 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate -5.71 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.026 units per person (2025)
- Population ages 00-04, male, annual growth rate -5.57 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is health system composite index in Moldova?
- Health system composite index in Moldova was -0.2249 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Moldova?
- The highest recorded value was 1.51 standard deviations from the yearly mean in 1981.
- What is the lowest health system composite index recorded in Moldova?
- The lowest recorded value was -0.2249 standard deviations from the yearly mean in 2024.
- How does Moldova rank for health system composite index?
- Moldova ranks 128th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Moldova?
- Over the last ten years it is down 156.3%. The long-run trend across the full record is falling.
- Where does this Moldova 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.