Armenia vs Saint-Denis: Drought - Cities and FUAs — Land soil moisture anomaly

Armenia
-1 Percentage change
in 2025
Saint-Denis
36.1 Percentage change
in 2025
Armenia rank
2nd
Saint-Denis rank
1st

Drought - Cities and FUAs — Land soil moisture anomaly over time

  • Armenia
  • Saint-Denis
-40-200204060195019872025

How they compare

Saint-Denis currently reports 36.1 Percentage change against -1 Percentage change in Armenia, a difference of 37.1 Percentage change.

That makes Saint-Denis's figure about 36.1 times Armenia's.

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

Armenia ranks 2nd and Saint-Denis ranks 1st of 2 countries.

Across the 8 decades both report, Armenia averaged higher in 2 and Saint-Denis in 6.

Head to head by decade

Decade Armenia Saint-Denis Difference Ahead
1950s 0.56 Percentage change 8.45 Percentage change 7.89 Percentage change Saint-Denis
1960s -0.16 Percentage change 23.17 Percentage change 23.33 Percentage change Saint-Denis
1970s -0.13 Percentage change 6.39 Percentage change 6.52 Percentage change Saint-Denis
1980s -0.13 Percentage change 9.7 Percentage change 9.83 Percentage change Saint-Denis
1990s 0.37 Percentage change -6.21 Percentage change 6.58 Percentage change Armenia
2000s -0.34 Percentage change -1.35 Percentage change 1.01 Percentage change Armenia
2010s -0.6 Percentage change 7.74 Percentage change 8.34 Percentage change Saint-Denis
2020s -1.52 Percentage change 12.3 Percentage change 13.82 Percentage change Saint-Denis

Averages of every year both report within each decade.

Frequently asked questions

Which has higher drought - cities and fuas — land soil moisture anomaly, Armenia or Saint-Denis?
Saint-Denis, at 36.1 Percentage change against -1 Percentage change in Armenia as of 2025.
What is the difference in drought - cities and fuas — land soil moisture anomaly between Armenia and Saint-Denis?
37.1 Percentage change, with Saint-Denis ahead.
How many years of comparable data are there for Armenia and Saint-Denis?
76 years are reported by both, from 1950 to 2025.
How do Armenia and Saint-Denis rank globally for drought - cities and fuas — land soil moisture anomaly?
Armenia ranks 2nd and Saint-Denis ranks 1st of 2 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Drought - Cities and FUAs — Land 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

Armenia vs Saint-Denis: Drought - Cities and FUAs — Land soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 23 August 2026, from https://environment.statizoid.com/compare/drought-cities-and-fuas-land-soil-moisture-anomaly/armenia/saint-denis/

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/drought-cities-and-fuas-land-soil-moisture-anomaly/armenia/saint-denis/">Armenia vs Saint-Denis: Drought - Cities and FUAs — Land soil moisture anomaly</a> — Statizoid

About this data

Indicator
Drought - Cities and FUAs — Land soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
1,325 places, 100,700 data points, 1950–2025
Last refreshed

This dataset provides regional statistics on estimate of soil moisture anomaly, in Functional Urban Areas (FUAs) and Cities. Data sources and methodology Drought is defined by the soil moisture change compared to the reference period 1981-2010. The soil moisture refers to the volume of water in the first soil layer (0 to 7 cm). This indicator is based on Copernicus ERA5-Land. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The correspondence table between SAUs and FUAs/cities is available in parquet and csv format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Drought - Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org