Niger vs Punjab: Historical exposure to drought — Cropland soil moisture anomaly

Niger
1.65 Percentage change
in 2025
Punjab
12.18 Percentage change
in 2025
Niger rank
29th
Punjab rank
31st

Historical exposure to drought — Cropland soil moisture anomaly over time

  • Niger
  • Punjab
-20-1001020195019872025

How they compare

Punjab currently reports 12.18 Percentage change against 1.65 Percentage change in Niger, a difference of 10.53 Percentage change.

That makes Punjab's figure about 7.4 times Niger's.

The two have swapped places 34 times across 76 shared years of data; in 1950 it was Punjab ahead.

Niger ranks 29th and Punjab ranks 31st of 168 countries.

Across the 8 decades both report, Niger averaged higher in 4 and Punjab in 4.

Head to head by decade

Decade Niger Punjab Difference Ahead
1950s 9.4 Percentage change 1.73 Percentage change 7.67 Percentage change Niger
1960s 8.24 Percentage change -4.21 Percentage change 12.44 Percentage change Niger
1970s 4.93 Percentage change 1.18 Percentage change 3.75 Percentage change Niger
1980s 0.7059 Percentage change 0.8534 Percentage change 0.1475 Percentage change Punjab
1990s 1.12 Percentage change 4.76 Percentage change 3.64 Percentage change Punjab
2000s -1.22 Percentage change -4.68 Percentage change 3.46 Percentage change Niger
2010s -1.29 Percentage change -0.2166 Percentage change 1.07 Percentage change Punjab
2020s -3.88 Percentage change 7.09 Percentage change 10.97 Percentage change Punjab

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — cropland soil moisture anomaly, Niger or Punjab?
Punjab, at 12.18 Percentage change against 1.65 Percentage change in Niger as of 2025.
What is the difference in historical exposure to drought — cropland soil moisture anomaly between Niger and Punjab?
10.53 Percentage change, with Punjab ahead.
How many years of comparable data are there for Niger and Punjab?
76 years are reported by both, from 1950 to 2025.
How do Niger and Punjab rank globally for historical exposure to drought — cropland soil moisture anomaly?
Niger ranks 29th and Punjab ranks 31st of 168 countries.
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.

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Niger vs Punjab: Historical exposure to drought — Cropland soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 24 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-cropland-soil-moisture-anomaly/niger/punjab/

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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