Number of women of reproductive age (15-49 years) affected by anemia in South America

South America: Number of women of reproductive age (15-49 years) affected by anemia was 24.7 million No in 2023. ▼ Falling

Latest (2023)
24.7 million No
Change on year
up 3.3%
Rank
21st
of 37 groups
All-time high
26 million No
in 2000
All-time low
21.3 million No
in 2012
Years of data
24
2000–2023

Number of women of reproductive age (15-49 years) affected by anemia in South America, 2000–2023

01020302000201120232000: 26 million No2001: 25.7 million No2002: 25.5 million No2003: 25.2 million No2004: 24.9 million No2005: 24.5 million No2006: 24 million No2007: 23.5 million No2008: 23 million No2009: 22.4 million No2010: 21.9 million No2011: 21.5 million No2012: 21.3 million No2013: 21.3 million No2014: 21.4 million No2015: 21.6 million No2016: 21.8 million No2017: 22.1 million No2018: 22.4 million No2019: 22.6 million No2020: 23 million No2021: 23.4 million No2022: 23.9 million No2023: 24.7 million No

Source: Food and Agriculture Organization of the United Nations. Measured in million No.

Analysis

The most recent figure for number of women of reproductive age (15-49 years) affected by anemia in South America is 24.7 million No, measured in 2023.

That represents a change of up 3.3% on the previous year and up 16.0% over ten years.

Over the whole period, number of women of reproductive age (15-49 years) affected by anemia in South America peaked at 26 million No in 2000 and was at its lowest, 21.3 million No, in 2012.

South America ranks 21st of 37 groups on this measure, in the middle of the range.

The long-run direction has been consistently falling across the 24 years of available data.

Number of women of reproductive age (15-49 years) affected by anemia in South America, year by year

Annual values for Number of women of reproductive age (15-49 years) affected by anemia (million) — Value in South America, 2000 to 2023.
Year million No Change
2000 26 million No
2001 25.7 million No -1.2%
2002 25.5 million No -0.8%
2003 25.2 million No -1.2%
2004 24.9 million No -1.2%
2005 24.5 million No -1.6%
2006 24 million No -2.0%
2007 23.5 million No -2.1%
2008 23 million No -2.1%
2009 22.4 million No -2.6%
2010 21.9 million No -2.2%
2011 21.5 million No -1.8%
2012 21.3 million No -0.9%
2013 21.3 million No +0.0%
2014 21.4 million No +0.5%
2015 21.6 million No +0.9%
2016 21.8 million No +0.9%
2017 22.1 million No +1.4%
2018 22.4 million No +1.4%
2019 22.6 million No +0.9%
2020 23 million No +1.8%
2021 23.4 million No +1.7%
2022 23.9 million No +2.1%
2023 24.7 million No +3.3%

Averages by decade

DecadeAverage LowestHighest Years
2000s 24.47 million No 22.4 million No 26 million No 10
2010s 21.79 million No 21.3 million No 22.6 million No 10
2020s 23.75 million No 23 million No 24.7 million No 4

Countries ranked near South America

  1. 18 Mozambique 3.8 million No compare
  2. 19 Angola 3.7 million No compare
  3. 19 Philippines 3.7 million No compare
  4. 21 Thailand 3.6 million No compare
  5. 22 Algeria 3.5 million No compare
  6. 22 Yemen 3.5 million No compare
  7. 24 Colombia 3.2 million No compare
  8. 24 Uganda 3.2 million No compare

See the full ranking of 201 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is number of women of reproductive age (15-49 years) affected by anemia in South America?
Number of women of reproductive age (15-49 years) affected by anemia in South America was 24.7 million No in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest number of women of reproductive age (15-49 years) affected by anemia recorded in South America?
The highest recorded value was 26 million No in 2000.
What is the lowest number of women of reproductive age (15-49 years) affected by anemia recorded in South America?
The lowest recorded value was 21.3 million No in 2012.
How does South America rank for number of women of reproductive age (15-49 years) affected by anemia?
South America ranks 21st out of 37 groups with data for 2023.
Is number of women of reproductive age (15-49 years) affected by anemia rising or falling in South America?
Over the last ten years it is up 16.0%. The long-run trend across the full record is falling.
Where does this South America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Number of women of reproductive age (15-49 years) affected by anemia (million) — Value. Statizoid updates them automatically from the source API.

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Number of women of reproductive age (15-49 years) affected by anemia in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/stat/number-of-women-of-reproductive-age-15-49-years-affected-by-anemia-million-value/south-america/

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About this data

Indicator
Number of women of reproductive age (15-49 years) affected by anemia (million) — Value
Unit
million No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
201 places, 4,770 data points, 2000–2023
Last refreshed

The Suite of Food Security Indicators presents the core set of food security indicators. Following the recommendation of experts gathered in the Committee on World Food Security (CFS) Round Table on hunger measurement, hosted at FAO headquarters in September 2011, an initial set of indicators aiming to capture various aspects of food insecurity is presented here. The choice of the indicators has been informed by expert judgement and the availability of data with sufficient coverage to enable comparisons across regions and over time. Many of these indicators are produced and published elsewhere by FAO and other international organizations. They are reported here in a single database with the aim of building a wide food security information system. More indicators will be added to this set as more data will become available. Indicators are classified along the four dimensions of food security -- availability, access, utilization and stability.