Census data is used to:
This visualization is intended for funders, advocates, elected officials, and non-profit organizations who want to get out the count for at-risk populations.
The census bureau has done research over the years to determine which populations are missed at higher rates in the census. Their research shows that children, homeless, lower income, lower education, English language learners, undocumented immigrations, and racial/ethnic minorities are least likely to be enumerated properly.
Since the 2020 census will be conducted mostly online, households with poor internet access will likely also be undercounted.
The metrics that we visualize are proxies for whether a community might be harder to count. In our visualization, darker green indicates harder to count.
We included percentage households of different ethnic backgrounds (percentage Latinx, percentage Asian, and percentage Black)
We included percentage of households with renters as a proxy for income
We included failure to return rates from the 2010 census as a proxy for overall failure to return rate for the 2020 census
We included percentage of households with poor internet connectivity to show communities most likely to be affected by the census moving online
We included the percentage of households with children under 5, since young children are most likely to be missed
We are a team of UC Berkeley Master of Information and Data Science (MIDS) students who think the 2020 US census is a big deal and this is our W209 final project!