High-resolution estimates of the US population in fluvial or coastal flood hazard areas
Abstract Flooding is the most common and damaging natural disaster in the United States (US), and understanding the number of people at risk of flooding is critical information for planning. The dataset presented here uses publicly available census and building footprint data to improve upon previou...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05717-y |
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| author | Adam C. Gold Ivy Steinberg-McElroy |
| author_facet | Adam C. Gold Ivy Steinberg-McElroy |
| author_sort | Adam C. Gold |
| collection | DOAJ |
| description | Abstract Flooding is the most common and damaging natural disaster in the United States (US), and understanding the number of people at risk of flooding is critical information for planning. The dataset presented here uses publicly available census and building footprint data to improve upon previous estimates of the number of people and housing units in fluvial or coastal flood hazard areas in the contiguous US. To calculate the population and housing unit estimates, the ratio of total residential building footprint area that intersects high flood hazard areas is multiplied by 2020 Decennial Census block counts. This flexible framework will allow the dataset to be updated over time and with additional flood risk datasets such as those that incorporate pluvial flooding. These high-resolution estimates of people and housing in fluvial or coastal flood hazard areas will provide valuable information to flood resilience planning efforts. |
| format | Article |
| id | doaj-art-a41dab24690249ff8c1133aacdbc9b85 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-a41dab24690249ff8c1133aacdbc9b852025-08-20T04:01:47ZengNature PortfolioScientific Data2052-44632025-08-011211910.1038/s41597-025-05717-yHigh-resolution estimates of the US population in fluvial or coastal flood hazard areasAdam C. Gold0Ivy Steinberg-McElroy1Environmental Defense FundEnvironmental Defense FundAbstract Flooding is the most common and damaging natural disaster in the United States (US), and understanding the number of people at risk of flooding is critical information for planning. The dataset presented here uses publicly available census and building footprint data to improve upon previous estimates of the number of people and housing units in fluvial or coastal flood hazard areas in the contiguous US. To calculate the population and housing unit estimates, the ratio of total residential building footprint area that intersects high flood hazard areas is multiplied by 2020 Decennial Census block counts. This flexible framework will allow the dataset to be updated over time and with additional flood risk datasets such as those that incorporate pluvial flooding. These high-resolution estimates of people and housing in fluvial or coastal flood hazard areas will provide valuable information to flood resilience planning efforts.https://doi.org/10.1038/s41597-025-05717-y |
| spellingShingle | Adam C. Gold Ivy Steinberg-McElroy High-resolution estimates of the US population in fluvial or coastal flood hazard areas Scientific Data |
| title | High-resolution estimates of the US population in fluvial or coastal flood hazard areas |
| title_full | High-resolution estimates of the US population in fluvial or coastal flood hazard areas |
| title_fullStr | High-resolution estimates of the US population in fluvial or coastal flood hazard areas |
| title_full_unstemmed | High-resolution estimates of the US population in fluvial or coastal flood hazard areas |
| title_short | High-resolution estimates of the US population in fluvial or coastal flood hazard areas |
| title_sort | high resolution estimates of the us population in fluvial or coastal flood hazard areas |
| url | https://doi.org/10.1038/s41597-025-05717-y |
| work_keys_str_mv | AT adamcgold highresolutionestimatesoftheuspopulationinfluvialorcoastalfloodhazardareas AT ivysteinbergmcelroy highresolutionestimatesoftheuspopulationinfluvialorcoastalfloodhazardareas |