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| Type: | Resource | |
| Storage: | The size of this resource is 7.7 MB | |
| Created: | Jan 08, 2025 at 2:06 p.m. | |
| Last updated: | Jun 09, 2025 at 7:35 p.m. | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Public |
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Abstract
This resource includes city-level aggregated residential water consumption data from single-family households and analysis code accompanying the manuscript "Patterns and Predictors of Residential Indoor Water Use Across Major US Cities". The dataset comprises daily water consumption patterns aggregated from 26,441 single-family households across 39 major US metropolitan statistical areas in the conterminous US. While the original data was collected at 5-second intervals using Flume's smart water monitoring sensors at individual households, this public dataset provides city-level daily aggregations to protect privacy. The data captures both total indoor water use and specific end uses (e.g., shower and toilet), along with aggregated household characteristics (e.g., house size and value), appliance presence (e.g., humidifiers and reverse osmosis systems), and daily climate variables (temperature, precipitation), the latter obtained from the Parameter-elevation Regression on Independent Slopes Model (PRISM). Two Jupyter Notebooks are included: one implementing functional data analysis to identify distinct usage patterns across city clusters, and another executing mixed-effects random forest analysis to investigate the influence of household features, appliances, and weather on water consumption patterns.
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Global Change Center (GCC) at Virginia Tech | ||
| US National Science Foundation | CAREER: Advancing Water Sustainability and Economic Resilience through Research and Education: An Integrated Systems Approach | CBET-2144169 |
| Institute for Society, Culture and Environment (ISCE) at Virginia Tech | ||
| Edna Bailey Sussman Foundation | ||
| John Wesley Powell Center for Analysis and Synthesis, U.S. Geological Survey (USGS) | Reanalyzing and predicting U.S. water use by economic history and forecast data; an experiment in short-range national hydroeconomic data synthesis | G20AP00002 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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