Where Need Meets Nothing: finding Florida's aid deserts with Snowflake
This is a submission for Weekend Challenge: Generosity Edition What I Built Generosity has a targeting problem. Money follows attention, attention follows disasters, and disasters get covered where the cameras already are. The places that quietly need the most are often the places nobody is looking. So I went looking for them. Two Florida counties: County FEMA disasters (10yr) Poverty rate…
A new tool aims to highlight the areas in Florida that urgently require assistance but are not receiving any. The "Where Need Meets Nothing" project, developed by Aid Desert Finder, joins three sources of federal data to rank counties based on the need for services compared to their availability. The project utilizes data from FEMA, the Census, and NPPES, all of which are accessible through Snowflake's Public Data Marketplace.
The project identifies the nine counties in Florida that have the most significant disparity between the need for aid and the availability of resources. These counties have an average of 22 disaster declarations in the past decade, a poverty rate above one in five residents, and a doctor density that is less than half of the state median.
The tool's interactive map and table allow users to explore each county's statistics and quickly identify the areas that require the most attention. The project's code, which combines the data from the three sources, is available on GitHub. The project was built for the DEV Weekend Challenge: Generosity Edition and has been recognized as the Best Use of Snowflake.
By highlighting the areas where need meets nothing, the "Where Need Meets Nothing" project hopes to bring attention to the counties that are often overlooked in disaster relief efforts. With its innovative approach to data visualization, the tool has the potential to make a significant difference in the lives of those who need it most.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.