Madhya Pradesh vs Zimbabwe: Historical exposure to drought — Cropland soil moisture anomaly

Madhya Pradesh
14.93 Percentage change
in 2025
Zimbabwe
3.29 Percentage change
in 2025
Madhya Pradesh rank
13th
Zimbabwe rank
16th

Historical exposure to drought — Cropland soil moisture anomaly over time

  • Madhya Pradesh
  • Zimbabwe
-20020195019872025

How they compare

Madhya Pradesh currently reports 14.93 Percentage change against 3.29 Percentage change in Zimbabwe, a difference of 11.64 Percentage change.

That makes Madhya Pradesh's figure about 4.5 times Zimbabwe's.

The two have swapped places 41 times across 76 shared years of data; in 1950 it was Zimbabwe ahead.

Madhya Pradesh ranks 13th and Zimbabwe ranks 16th of 2960 regions.

Across the 8 decades both report, Madhya Pradesh averaged higher in 5 and Zimbabwe in 3.

Head to head by decade

Decade Madhya Pradesh Zimbabwe Difference Ahead
1950s 9.06 Percentage change -5.74 Percentage change 14.8 Percentage change Madhya Pradesh
1960s -2.38 Percentage change -9.65 Percentage change 7.27 Percentage change Madhya Pradesh
1970s 2.77 Percentage change 3 Percentage change 0.2331 Percentage change Zimbabwe
1980s -1.07 Percentage change -0.5899 Percentage change 0.4797 Percentage change Zimbabwe
1990s 1.92 Percentage change -1.17 Percentage change 3.09 Percentage change Madhya Pradesh
2000s -1.33 Percentage change 1.07 Percentage change 2.4 Percentage change Zimbabwe
2010s 1.46 Percentage change -1.41 Percentage change 2.87 Percentage change Madhya Pradesh
2020s 7.01 Percentage change -4.42 Percentage change 11.43 Percentage change Madhya Pradesh

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — cropland soil moisture anomaly, Madhya Pradesh or Zimbabwe?
Madhya Pradesh, at 14.93 Percentage change against 3.29 Percentage change in Zimbabwe as of 2025.
What is the difference in historical exposure to drought — cropland soil moisture anomaly between Madhya Pradesh and Zimbabwe?
11.64 Percentage change, with Madhya Pradesh ahead.
How many years of comparable data are there for Madhya Pradesh and Zimbabwe?
76 years are reported by both, from 1950 to 2025.
How do Madhya Pradesh and Zimbabwe rank globally for historical exposure to drought — cropland soil moisture anomaly?
Madhya Pradesh ranks 13th and Zimbabwe ranks 16th of 2960 regions.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Historical exposure to drought — Cropland soil moisture anomaly. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Madhya Pradesh vs Zimbabwe: Historical exposure to drought — Cropland soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 25 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-cropland-soil-moisture-anomaly/madhya-pradesh/zimbabwe/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://environment.statizoid.com/compare/historical-exposure-to-drought-cropland-soil-moisture-anomaly/madhya-pradesh/zimbabwe/">Madhya Pradesh vs Zimbabwe: Historical exposure to drought — Cropland soil moisture anomaly</a> — Statizoid

About this data

Indicator
Historical exposure to drought — Cropland soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
3,200 places, 243,200 data points, 1950–2025
Last refreshed

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