Number of women of reproductive age (15-49 years) affected by anemia in Southern Asia
Southern Asia: Number of women of reproductive age (15-49 years) affected by anemia was 264.9 million No in 2023. ▲ Rising
Number of women of reproductive age (15-49 years) affected by anemia in Southern Asia, 2000–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million No.
Analysis
In 2023, number of women of reproductive age (15-49 years) affected by anemia in Southern Asia stood at 264.9 million No. That is the highest value across all 24 years on record.
The figure is up 2.2% on the previous year and up 22.3% over ten years.
Over the whole period, number of women of reproductive age (15-49 years) affected by anemia in Southern Asia peaked at 264.9 million No in 2023 and was at its lowest, 164.7 million No, in 2000.
That places Southern Asia 4th out of 37 groups with data for 2023, putting it in the top 10%.
The long-run direction has been consistently rising across the 24 years of available data.
Number of women of reproductive age (15-49 years) affected by anemia in Southern Asia, year by year
| Year | million No | Change |
|---|---|---|
| 2000 | 164.7 million No | — |
| 2001 | 168.4 million No | +2.2% |
| 2002 | 172.3 million No | +2.3% |
| 2003 | 176.2 million No | +2.3% |
| 2004 | 180.3 million No | +2.3% |
| 2005 | 184.4 million No | +2.3% |
| 2006 | 188.4 million No | +2.2% |
| 2007 | 192.3 million No | +2.1% |
| 2008 | 196.1 million No | +2.0% |
| 2009 | 199.8 million No | +1.9% |
| 2010 | 203.8 million No | +2.0% |
| 2011 | 208 million No | +2.1% |
| 2012 | 212.2 million No | +2.0% |
| 2013 | 216.6 million No | +2.1% |
| 2014 | 221.1 million No | +2.1% |
| 2015 | 225.6 million No | +2.0% |
| 2016 | 230.3 million No | +2.1% |
| 2017 | 235 million No | +2.0% |
| 2018 | 239.6 million No | +2.0% |
| 2019 | 244.2 million No | +1.9% |
| 2020 | 249 million No | +2.0% |
| 2021 | 253.9 million No | +2.0% |
| 2022 | 259.1 million No | +2.0% |
| 2023 | 264.9 million No | +2.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 182.29 million No | 164.7 million No | 199.8 million No | 10 |
| 2010s | 223.64 million No | 203.8 million No | 244.2 million No | 10 |
| 2020s | 256.73 million No | 249 million No | 264.9 million No | 4 |
Countries ranked near Southern Asia
- 1 India 203.5 million No compare
- 2 China 49.9 million No compare
- 3 Pakistan 28.2 million No compare
- 4 Democratic Republic of the Congo 9.4 million No compare
- 4 Nigeria 20.6 million No compare
- 5 Indonesia 19.4 million No compare
- 5 Türkiye 6.6 million No compare
- 6 Bangladesh 18.3 million No compare
- 6 United Republic of Tanzania 6.3 million No compare
- 7 Brazil 11.9 million No compare
- 7 Iran (Islamic Republic of) 6.2 million No compare
More agriculture & rural data for Southern Asia
- Raw hides and skins of cattle — Producing Animals/Slaughtered, annual 4.02 % change on previous year (2024)
- Other vegetables, fresh n.e.c. — Yield, annual growth rate -0.5799 % change on previous year (2024)
- Other vegetables, fresh n.e.c. — Production, annual growth rate -1.72 % change on previous year (2024)
- Potatoes — Area harvested, annual growth rate 0.5088 % change on previous year (2024)
- Potatoes — Yield, annual growth rate -3.02 % change on previous year (2024)
- Potatoes — Production, annual growth rate -2.53 % change on previous year (2024)
- Raw hides and skins of cattle — Yield/Carcass Weight, annual growth 6.25 % change on previous year (2024)
- Raw hides and skins of cattle — Production, annual growth rate 10.72 % change on previous year (2024)
- Raw hides and skins of sheep or lambs — Production, annual growth rate 7.69 % change on previous year (2024)
- Raw hides and skins of sheep or lambs — Yield/Carcass Weight, annual 0 % change on previous year (2024)
Frequently asked questions
- What is number of women of reproductive age (15-49 years) affected by anemia in Southern Asia?
- Number of women of reproductive age (15-49 years) affected by anemia in Southern Asia was 264.9 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 Southern Asia?
- The highest recorded value was 264.9 million No in 2023.
- What is the lowest number of women of reproductive age (15-49 years) affected by anemia recorded in Southern Asia?
- The lowest recorded value was 164.7 million No in 2000.
- How does Southern Asia rank for number of women of reproductive age (15-49 years) affected by anemia?
- Southern Asia ranks 4th 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 Southern Asia?
- Over the last ten years it is up 22.3%. The long-run trend across the full record is rising.
- Where does this Southern Asia 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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About this data
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.