Direct economic loss in the housing sector attributed to disasters in Russian Federation
Russian Federation: Direct economic loss in the housing sector attributed to disasters was 584.59 million current US$ in 2024. ◆ Volatile
Direct economic loss in the housing sector attributed to disasters in Russian Federation, 2009–2024
Source: United Nations Statistics Division, SDG Global Database. Measured in current US$.
Analysis
In 2024, direct economic loss in the housing sector attributed to disasters in Russian Federation stood at 584.59 million current US$. That is the highest value across all 13 years on record.
Compared with earlier readings it is up 2,842.5% on the previous year and up 16,671.3% over five years.
Over the whole period, direct economic loss in the housing sector attributed to disasters in Russian Federation peaked at 584.59 million current US$ in 2024 and was at its lowest, 0 current US$, in 2009.
That places Russian Federation 16th out of 130 countries with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Direct economic loss in the housing sector attributed to disasters in Russian Federation, year by year
| Year | current US$ | Change |
|---|---|---|
| 2009 | 0 current US$ | — |
| 2010 | 0 current US$ | — |
| 2014 | 0 current US$ | — |
| 2015 | 97.25 million current US$ | — |
| 2016 | 37.62 million current US$ | -61.3% |
| 2017 | 124.49 million current US$ | +230.9% |
| 2018 | 5,184 current US$ | -100.0% |
| 2019 | 3.49 million current US$ | +67138.6% |
| 2020 | 12.53 million current US$ | +259.4% |
| 2021 | 0 current US$ | -100.0% |
| 2022 | 83.55 million current US$ | — |
| 2023 | 19.87 million current US$ | -76.2% |
| 2024 | 584.59 million current US$ | +2842.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0 current US$ | 0 current US$ | 0 current US$ | 1 |
| 2010s | 37.55 million current US$ | 0 current US$ | 124.49 million current US$ | 7 |
| 2020s | 140.11 million current US$ | 0 current US$ | 584.59 million current US$ | 5 |
Countries ranked near Russian Federation
More climate change data for Russian Federation
- Nutrient nitrogen N (total) — Synthetic fertilizers (Agricultural) 1.60 billion kg (2050)
- Emissions from livestock — Emissions (CO2eq) 84,904 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 18,247 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 66,658 kt (2050)
- Emissions from livestock — Emissions 68.86 kt (2050)
- Emissions from livestock — Emissions 2,381 kt (2050)
- Emissions from crops — Emissions (CO2eq) 18,764 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 16,121 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 2,643 kt (2050)
- Emissions from crops — Emissions 60.84 kt (2050)
Frequently asked questions
- What is direct economic loss in the housing sector attributed to disasters in Russian Federation?
- Direct economic loss in the housing sector attributed to disasters in Russian Federation was 584.59 million current US$ in 2024, according to United Nations Statistics Division, SDG Global Database.
- What is the highest direct economic loss in the housing sector attributed to disasters recorded in Russian Federation?
- The highest recorded value was 584.59 million current US$ in 2024.
- What is the lowest direct economic loss in the housing sector attributed to disasters recorded in Russian Federation?
- The lowest recorded value was 0 current US$ in 2009.
- How does Russian Federation rank for direct economic loss in the housing sector attributed to disasters?
- Russian Federation ranks 16th out of 130 countries with data for 2024.
- Where does this Russian Federation data come from?
- The figures come from United Nations Statistics Division, SDG Global Database, published as part of Direct economic loss in the housing sector attributed to disasters (current United States dollars). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 13 observations, free to reuse under UN SDG Global Database (open, attribution requested).