Middle East and North Africa vs Singapore: Historical exposure to drought — Land soil moisture anomaly
Historical exposure to drought — Land soil moisture anomaly over time
- Middle East and North Africa
- Singapore
How they compare
Singapore currently reports -1.71 Percentage change against -31.05 Percentage change in Middle East and North Africa, a difference of 29.34 Percentage change.
The two have swapped places 41 times across 76 shared years of data; in 1950 it was Middle East and North Africa ahead.
Middle East and North Africa ranks 72nd and Singapore ranks 73rd of 72 groups.
Across the 8 decades both report, Middle East and North Africa averaged higher in 3 and Singapore in 5.
Head to head by decade
| Decade | Middle East and North Africa | Singapore | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 6.05 Percentage change | 12.12 Percentage change | 6.07 Percentage change | Singapore |
| 1960s | 0.1839 Percentage change | 9.61 Percentage change | 9.42 Percentage change | Singapore |
| 1970s | 7.76 Percentage change | 9.06 Percentage change | 1.3 Percentage change | Singapore |
| 1980s | 2.93 Percentage change | 0.1097 Percentage change | 2.82 Percentage change | Middle East and North Africa |
| 1990s | 3.54 Percentage change | 0.0173 Percentage change | 3.52 Percentage change | Middle East and North Africa |
| 2000s | -4.49 Percentage change | 0.3426 Percentage change | 4.83 Percentage change | Singapore |
| 2010s | 2.01 Percentage change | -0.1415 Percentage change | 2.15 Percentage change | Middle East and North Africa |
| 2020s | -16.13 Percentage change | -1.49 Percentage change | 14.64 Percentage change | Singapore |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher historical exposure to drought — land soil moisture anomaly, Middle East and North Africa or Singapore?
- Singapore, at -1.71 Percentage change against -31.05 Percentage change in Middle East and North Africa as of 2025.
- What is the difference in historical exposure to drought — land soil moisture anomaly between Middle East and North Africa and Singapore?
- 29.34 Percentage change, with Singapore ahead.
- How many years of comparable data are there for Middle East and North Africa and Singapore?
- 76 years are reported by both, from 1950 to 2025.
- How do Middle East and North Africa and Singapore rank globally for historical exposure to drought — land soil moisture anomaly?
- Middle East and North Africa ranks 72nd and Singapore ranks 73rd of 72 groups.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Historical exposure to drought — Land soil moisture anomaly. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer (0 to 7 cm) compared to the reference period 1981-2010. Exposure indicators to drought have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the working paper for a more complete description of the methods. The datasets span the period 1981-2024 and is the result of the use of a variety of geospatial data sources, including the ERA5-Land averaged monthly data of volumetric soil moisture and ESA CCI land cover data. Average anomalies have been calculated for both land and cropland exposure to drought. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. Data source(s): Copernicus Climate Change Initiative land cover data and Copernicus Climate Data Store monthly soil moisture data based on the ERA5-Land reanalysis dataset. Contact: ENV.Stat@oecd.org