Lithuania: Prevalence of anemia among children (% of children ages 6-59 months)

Key figures

What the numbers say

In 2019, Lithuania's prevalence of anemia among children (% of children ages 6-59 months) rose 0.2 percentage points on 2018 (from 17.6% to 17.8%).

Across the 18 yearly changes before that (2001 to 2018), the average change was −0.34 percentage points and a typical year strayed about 0.36 percentage points from that (the standard deviation). This year's change was 1.5 standard deviations above that average, so it was larger than a typical year, though not out of the range seen before.

On record, the biggest yearly rise was 0.2 percentage points in 2014 and the biggest yearly fall was 0.8 percentage points in 2005. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2010 to 2019 the straight-line trend is upward, about 0.06 percentage points a year. A straight line explains 55% 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

In 2019, Lithuania had the 152nd highest value of the 190 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.

Closest to Lithuania in the 2019 ranking

• Estonia — 150th of 190: 18%
• Bahamas, The — 151st of 190: 17.9%
• Belarus — 152nd of 190: 17.8%
• Belgium — 154th of 190: 17.4%
• Malta — 155th of 190: 17.4%
• Antigua and Barbuda — 156th of 190: 17.2%

What this measures

Prevalence of anemia, children ages 6-59 months, is the percentage of children ages 6-59 months whose hemoglobin level is less than 110 grams per liter, adjusted for altitude.

Limitations: Data for blood haemoglobin concentrations are still limited, compared to other nutritional indicators such as child anthropometry. As a result, the estimates may not capture the full variation across countries and regions.

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

All 20 values

Prevalence of anemia among children (% of children ages 6-59 months) in nearby economies

• Albania — 30.9% (2019)
• Andorra — 14.1% (2019)
• Armenia — 19.6% (2019)
• Austria — 14.6% (2019)
• Azerbaijan — 24.8% (2019)
• Belarus — 17.8% (2019)
• Belgium — 17.4% (2019)
• Bosnia and Herzegovina — 24.3% (2019)
• Bulgaria

More health data for Lithuania

• Population ages 00-04, female (% of female population) — 3.76% (2025)
• Population ages 00-04, male (% of male population) — 4.43% (2025)
• Population ages 0-14, female — 203,983 (2025)
• Population ages 0-14, female (% of female population) — 13.38% (2025)
• Population ages 0-14, male — 215,040 (2025)
• Population ages 0-14, male (% of male population) — 15.76% (2025)
• Population ages 0-14, total — 419,023 (2025)
• Population ages 0-14 (% of total population) — 14.51% (2025)
• Population ages 05-09, female (% of female population) — 4.8% (2025)

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 Lithuania's prevalence of anemia among children (% of children ages 6-59 months)?

17.8% in 2019, according to the World Bank (World Development Indicators).

How has it changed since 2000?

It is down 6 percentage points from 23.8% in 2000. The highest value was 23.8% in 2000 and the lowest 17% in 2012.

How does Lithuania rank?

152nd highest of 190 economies with data for 2019.

Is the latest change in prevalence of anemia among children (% of children ages 6-59 months) unusual for Lithuania?

In 2019, Lithuania's prevalence of anemia among children (% of children ages 6-59 months) rose 0.2 percentage points on 2018 (from 17.6% to 17.8%). Across the 18 yearly changes before that (2001 to 2018), the average change was −0.34 percentage points and a typical year strayed about 0.36 percentage points from that (the standard deviation). This year's change was 1.5 standard deviations above that average, so it was larger than a typical year, though not out of the range seen before.

Source

World Bank, World Development Indicators, indicator SH.ANM.CHLD.ZS, licensed CC BY 4.0. Original source: Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO) 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.