Coffs Harbour - Grafton vs Mongolia: Historical exposure to drought — Land soil moisture anomaly
Historical exposure to drought — Land soil moisture anomaly over time
- Coffs Harbour - Grafton
- Mongolia
How they compare
Coffs Harbour - Grafton currently reports 5.84 Percentage change against -5.5 Percentage change in Mongolia, a difference of 11.34 Percentage change.
That makes Coffs Harbour - Grafton's figure about 1.1 times Mongolia's.
The two have swapped places 16 times across 76 shared years of data; in 1950 it was Coffs Harbour - Grafton ahead.
Coffs Harbour - Grafton ranks 127th and Mongolia ranks 127th of 3112 regions.
Across the 8 decades both report, Coffs Harbour - Grafton averaged higher in 3 and Mongolia in 5.
Head to head by decade
| Decade | Coffs Harbour - Grafton | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | -10.06 Percentage change | 2.57 Percentage change | 12.63 Percentage change | Mongolia |
| 1960s | -9.93 Percentage change | 3.59 Percentage change | 13.53 Percentage change | Mongolia |
| 1970s | -5.59 Percentage change | 5.5 Percentage change | 11.09 Percentage change | Mongolia |
| 1980s | 0.2029 Percentage change | 4.8 Percentage change | 4.6 Percentage change | Mongolia |
| 1990s | -0.4732 Percentage change | 4.77 Percentage change | 5.24 Percentage change | Mongolia |
| 2000s | -2.55 Percentage change | -8.42 Percentage change | 5.88 Percentage change | Coffs Harbour - Grafton |
| 2010s | -0.7879 Percentage change | -8.22 Percentage change | 7.44 Percentage change | Coffs Harbour - Grafton |
| 2020s | 3.67 Percentage change | -3.98 Percentage change | 7.65 Percentage change | Coffs Harbour - Grafton |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher historical exposure to drought — land soil moisture anomaly, Coffs Harbour - Grafton or Mongolia?
- Coffs Harbour - Grafton, at 5.84 Percentage change against -5.5 Percentage change in Mongolia as of 2025.
- What is the difference in historical exposure to drought — land soil moisture anomaly between Coffs Harbour - Grafton and Mongolia?
- 11.34 Percentage change, with Coffs Harbour - Grafton ahead.
- How many years of comparable data are there for Coffs Harbour - Grafton and Mongolia?
- 76 years are reported by both, from 1950 to 2025.
- How do Coffs Harbour - Grafton and Mongolia rank globally for historical exposure to drought — land soil moisture anomaly?
- Coffs Harbour - Grafton ranks 127th and Mongolia ranks 127th of 3112 regions.
- 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