River flooding exposure — Cropland share exposed to river flooding in South Carolina
South Carolina: River flooding exposure — Cropland share exposed to river flooding was 0.8503 Percentage of agricultural land area in 2022. ▲ Rising
River flooding exposure — Cropland share exposed to river flooding in South Carolina, 2000–2022
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of agricultural land area.
Analysis
South Carolina recorded 0.8503 Percentage of agricultural land area for river flooding exposure — cropland share exposed to river flooding in 2022.
That represents a change of up 0.2% on the previous year and up 21.6% over ten years.
Over the whole period, river flooding exposure — cropland share exposed to river flooding in South Carolina peaked at 0.8541 Percentage of agricultural land area in 2020 and was at its lowest, 0.678 Percentage of agricultural land area, in 2007.
South Carolina ranks 2059th of 3147 regions on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 23 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.6839 Percentage of agricultural land area | 0.678 Percentage of agricultural land area | 0.7004 Percentage of agricultural land area | 10 |
| 2010s | 0.7173 Percentage of agricultural land area | 0.695 Percentage of agricultural land area | 0.8516 Percentage of agricultural land area | 10 |
| 2020s | 0.851 Percentage of agricultural land area | 0.8484 Percentage of agricultural land area | 0.8541 Percentage of agricultural land area | 3 |
More environment data for South Carolina
- Historical exposure to drought — Cropland soil moisture anomaly -5.19 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -2.05 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -3.61 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly -2.07 Percentage change (2024)
- Land cover and land cover change — Grassland 11,693 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 585.07 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 805.85 Square kilometres (2022)
Frequently asked questions
- What is river flooding exposure — cropland share exposed to river flooding in South Carolina?
- River flooding exposure — cropland share exposed to river flooding in South Carolina was 0.8503 Percentage of agricultural land area in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest river flooding exposure — cropland share exposed to river flooding recorded in South Carolina?
- The highest recorded value was 0.8541 Percentage of agricultural land area in 2020.
- What is the lowest river flooding exposure — cropland share exposed to river flooding recorded in South Carolina?
- The lowest recorded value was 0.678 Percentage of agricultural land area in 2007.
- How does South Carolina rank for river flooding exposure — cropland share exposed to river flooding?
- South Carolina ranks 2059th out of 3147 regions with data for 2022.
- Is river flooding exposure — cropland share exposed to river flooding rising or falling in South Carolina?
- Over the last ten years it is up 21.6%. The long-run trend across the full record is rising.
- Where does this South Carolina data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of River flooding exposure — Cropland share exposed to river flooding. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 23 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
The dataset provides a global assessment of land, population, built-up area and cropland exposure to river flooding for different return periods. Exposure indicators to river flooding 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 2000-2020 depending on data availability and is based on river flood hazard maps with a 10-, 20-, 50- and 100-year return period. A return period is the average or estimated time that a specific hazard is likely to recur. 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): JRC River flood hazard map data, Copernicus Climate Change Initiative land cover data and Global Human Settlement Layer population grid data. Contact: ENV.Stat@oecd.org