Lower middle income: UHC service coverage sub-index on infectious diseases

Key figures

What the numbers say

In 2023, Lower middle income's UHC service coverage sub-index on infectious diseases did not change 0 on 2022 (from 67 to 67).

Across the 22 yearly changes before that (2001 to 2022), the average change was +0.09 and a typical year strayed about 3.64 from that (the standard deviation). This year's change was 0.0 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

On record, the biggest yearly rise was 3 in 2002 and the biggest yearly fall was 11 in 2007. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2014 to 2023 the straight-line trend is upward, about 1.37 a year. A straight line explains 94% of the movement over 10 observed years.

Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.

How it compares

See how every economy compares in the full ranking.

What this measures

UHC service coverage sub-index on infectious diseases is based on four tracer indicators: (i) Tuberculosis, (ii) HIV/AIDS (iii) Malaria (iv) Water, sanitation and hygiene. It is presented on a scale of 0 to 100 index points and is one of the four sub-indexes underlying the overall UHC service coverage index.

Regional and income-group figures are computed by the World Bank as a weighted average.

All 24 values

UHC service coverage sub-index on infectious diseases in nearby economies

• Afghanistan — 53 (2023)
• Algeria — 86 (2023)
• Bahrain — 100 (2023)
• Djibouti — 42 (2023)
• Egypt, Arab Rep. — 97 (2023)
• Iran, Islamic Rep. — 90 (2023)
• Iraq — 98 (2023)
• Israel — 100 (2023)
• Jordan — 97 (2023)
• Kuwait

More health data for Lower middle income

• Population ages 00-04, female (% of female population) — 9.84% (2025)
• Population ages 00-04, male (% of male population) — 10.01% (2025)
• Population ages 0-14, female — 422.4 million (2025)
• Population ages 0-14, female (% of female population) — 29.14% (2025)
• Population ages 0-14, male — 446.49 million (2025)
• Population ages 0-14, male (% of male population) — 29.85% (2025)
• Population ages 0-14, total — 868.89 million (2025)
• Population ages 0-14 (% of total population) — 29.5% (2025)
• Population ages 05-09, female (% of female population)

Reading data like this

• Where to find free public data, and how to check it before you trust it — 2 min read
• Data analysis examples: 6 worked from one dataset — 3 min read
• Real change or random noise? A plain guide to reading your numbers — 2 min read

Questions people ask

What is Lower middle income's UHC service coverage sub-index on infectious diseases?

67 in 2023, according to the World Bank (World Development Indicators).

How has it changed since 2000?

It is up 3.08% from 65 in 2000 (0.13% a year on average, compounded). The highest value was 68 in 2002 and the lowest 46 in 2010.

Is the latest change in UHC service coverage sub-index on infectious diseases unusual for Lower middle income?

In 2023, Lower middle income's UHC service coverage sub-index on infectious diseases did not change 0 on 2022 (from 67 to 67). Across the 22 yearly changes before that (2001 to 2022), the average change was +0.09 and a typical year strayed about 3.64 from that (the standard deviation). This year's change was 0.0 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

Source

World Bank, World Development Indicators, indicator SH_UHC_SCI_ID, licensed CC BY 4.0. Original source: Universal Health Coverage Dataset, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/uhc-index-of-service-coverage Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.

Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.