Land cover and land cover change — Gain of artificial surfaces in Jujuy
Jujuy: Land cover and land cover change — Gain of artificial surfaces was 55.59 Square kilometres in 2022. ◆ Volatile
Land cover and land cover change — Gain of artificial surfaces in Jujuy, 2005–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
Jujuy recorded 55.59 Square kilometres for land cover and land cover change — gain of artificial surfaces in 2022. That is the highest value across all 5 years on record.
That represents a change of up 14.3% on the previous year and up 408.4% over ten years.
Over the whole period, land cover and land cover change — gain of artificial surfaces in Jujuy peaked at 55.59 Square kilometres in 2022 and was at its lowest, 0.9547 Square kilometres, in 2005.
That places Jujuy 562nd out of 758 regions with data for 2022, putting it in the middle of the range.
Land cover and land cover change — Gain of artificial surfaces in Jujuy, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 0.9547 Square kilometres | — |
| 2010 | 10.93 Square kilometres | +1045.4% |
| 2015 | 36.36 Square kilometres | +232.6% |
| 2020 | 48.64 Square kilometres | +33.8% |
| 2022 | 55.59 Square kilometres | +14.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.9547 Square kilometres | 0.9547 Square kilometres | 0.9547 Square kilometres | 1 |
| 2010s | 23.65 Square kilometres | 10.93 Square kilometres | 36.36 Square kilometres | 2 |
| 2020s | 52.12 Square kilometres | 48.64 Square kilometres | 55.59 Square kilometres | 2 |
More environment data for Jujuy
- Historical exposure to drought — Cropland soil moisture anomaly -13.04 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -12.94 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -17.5 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly -6.89 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 14.49 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 2,451 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 104.56 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — gain of artificial surfaces in Jujuy?
- Land cover and land cover change — gain of artificial surfaces in Jujuy was 55.59 Square kilometres in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest land cover and land cover change — gain of artificial surfaces recorded in Jujuy?
- The highest recorded value was 55.59 Square kilometres in 2022.
- What is the lowest land cover and land cover change — gain of artificial surfaces recorded in Jujuy?
- The lowest recorded value was 0.9547 Square kilometres in 2005.
- How does Jujuy rank for land cover and land cover change — gain of artificial surfaces?
- Jujuy ranks 562nd out of 758 regions with data for 2022.
- Is land cover and land cover change — gain of artificial surfaces rising or falling in Jujuy?
- Over the last ten years it is up 408.4%. The long-run trend across the full record is volatile.
- Where does this Jujuy data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Land cover and land cover change — Gain of artificial surfaces. Statizoid updates them automatically from the source API.
Download this data
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About this data
The land cover dataset provides a global assessment of land cover and land cover change to monitor pressures on ecosystems and biodiversity. By using geospatial data with high spatio-temporal resolution, it develops a set of internationally comparable indicators with a long time series and a five-year interval from 2000 to 2022 for the Climate Change Initiative Land Cover dataset, and from 1975 to 2030 for the Global Human Settlement Layer dataset. Please see the working paper for a more complete description of the methods. The dataset has a global coverage on the national level, while 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. The following country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas, the LAC region and the World. Data source(s): Climate Change Initiative land cover data and Global Human Settlement Layer built-up area data. Contact: ENV.Stat@oecd.org Database documentation