6.4.2 Level of water stress (Agriculture (ISIC4 A01 A0210 A0322)) in Southern Asia
Southern Asia: 6.4.2 Level of water stress (Agriculture (ISIC4 A01 A0210 A0322)) was 68.12 % in 2023. ▲ Rising
6.4.2 Level of water stress (Agriculture (ISIC4 A01 A0210 A0322)) in Southern Asia, 2000–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
Southern Asia recorded 68.12 % for 6.4.2 level of water stress (agriculture (isic4 a01 a0210 a0322)) in 2023.
The figure is down 2.0% on the previous year and down 4.1% over ten years.
Over the whole period, 6.4.2 level of water stress (agriculture (isic4 a01 a0210 a0322)) in Southern Asia peaked at 71.66 % in 2014 and was at its lowest, 65.33 %, in 2000.
Southern Asia ranks 2nd of 28 groups on this measure, in the top 10%.
The long-run direction has been consistently rising across the 24 years of available data.
6.4.2 Level of water stress (Agriculture (ISIC4 A01 A0210 A0322)) in Southern Asia, year by year
| Year | % | Change |
|---|---|---|
| 2000 | 65.33 % | — |
| 2001 | 66.47 % | +1.7% |
| 2002 | 66.54 % | +0.1% |
| 2003 | 69.04 % | +3.8% |
| 2004 | 67.44 % | -2.3% |
| 2005 | 66.3 % | -1.7% |
| 2006 | 68.28 % | +3.0% |
| 2007 | 68.45 % | +0.2% |
| 2008 | 70.53 % | +3.0% |
| 2009 | 70.88 % | +0.5% |
| 2010 | 71.41 % | +0.7% |
| 2011 | 71.13 % | -0.4% |
| 2012 | 71.53 % | +0.6% |
| 2013 | 71.04 % | -0.7% |
| 2014 | 71.66 % | +0.9% |
| 2015 | 71.62 % | -0.1% |
| 2016 | 71.64 % | +0.0% |
| 2017 | 71.47 % | -0.2% |
| 2018 | 70.78 % | -1.0% |
| 2019 | 69.51 % | -1.8% |
| 2020 | 70.2 % | +1.0% |
| 2021 | 69.82 % | -0.5% |
| 2022 | 69.48 % | -0.5% |
| 2023 | 68.12 % | -2.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 67.93 % | 65.33 % | 70.88 % | 10 |
| 2010s | 71.18 % | 69.51 % | 71.66 % | 10 |
| 2020s | 69.41 % | 68.12 % | 70.2 % | 4 |
Countries ranked near Southern Asia
- 1 Kuwait 2,398 % compare
- 1 Syrian Arab Republic 108.85 % compare
- 2 Iran (Islamic Republic of) 74.14 % compare
- 2 Saudi Arabia 794.56 % compare
- 3 Libya 679.78 % compare
- 3 Türkiye 41.63 % compare
- 4 Timor-Leste 25.83 % compare
- 4 United Arab Emirates 619.11 % compare
- 5 Democratic People's Republic of Korea 21.18 % compare
- 5 Yemen 255.42 % compare
More environment data for Southern Asia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly 0.4009 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 6.69 Percentage change (2025)
- Standard Deviation 0.274 °C (2025)
- Temperature change 1.44 °C (2025)
- Total fibre furnish — Production 15.39 million t (2024)
- Recovered paper — Production 8.45 million t (2024)
- Nutrient phosphate P2O5 (total) — Use per area of cropland 44.63 kg/ha (2024)
- Nutrient nitrogen N (total) — Use per capita 13.9 kg/cap (2024)
- Nutrient nitrogen N (total) — Use per value of agricultural production 38.89 g/Int$ (2024)
Frequently asked questions
- What is 6.4.2 level of water stress (agriculture (isic4 a01 a0210 a0322)) in Southern Asia?
- 6.4.2 level of water stress (agriculture (isic4 a01 a0210 a0322)) in Southern Asia was 68.12 % in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest 6.4.2 level of water stress (agriculture (isic4 a01 a0210 a0322)) recorded in Southern Asia?
- The highest recorded value was 71.66 % in 2014.
- What is the lowest 6.4.2 level of water stress (agriculture (isic4 a01 a0210 a0322)) recorded in Southern Asia?
- The lowest recorded value was 65.33 % in 2000.
- How does Southern Asia rank for 6.4.2 level of water stress (agriculture (isic4 a01 a0210 a0322))?
- Southern Asia ranks 2nd out of 28 groups with data for 2023.
- Is 6.4.2 level of water stress (agriculture (isic4 a01 a0210 a0322)) rising or falling in Southern Asia?
- Over the last ten years it is down 4.1%. 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 6.4.2 Level of water stress (Agriculture (ISIC4 A01 A0210 A0322)) — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
As the custodian agency of 22 SDG indicators, the Food and Agriculture Organization of the United Nations (FAO) is responsible for curating and refining the methodologies of these indicators, collecting data from national sources, ensuring their quality and compatibility with applicable standards and classifications, and disseminating data at global level. This FAOSTAT domain complements the global SDG database administered by the United Nations Statistical Division (UNSD), as well as FAO’s SDG indicators portal, by providing access to the available data for all SDG Indicators under FAO custodianship. While this metadata page provides summary information on all SDG indicators data disseminated through FAOSTAT, indicator-specific metadata can be accessed from the link on the right hand navigation column. This additional metadata file provides details on the methodology used to compile each indicators, their data sources and the contact information of the relevant FAO focal point. It includes the links to the official SDG Indicator metadata documents accessible from the UNSD global SDG database.SDG Indicators under FAO custodianship, consisting of 22 indicators and 66 series that fall under six goals: • Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture.• Goal 5: Achieve gender equality and empower all women and girls.• Goal 6: Clean water and sanitation: Ensure availability and sustainable management of water and sanitation for all.• Goal 12: Responsible consumption and production.• Goal 14: Life below water: Conserve and sustainably use the oceans, seas and marine resources.• Goal 15: Life on land: Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss.