Housing cost burden has remained relatively flat since 2010, showing an overburden on those who rent versus those who own their homes.
A case study from Data-Smart City Solutions at Harvard's ASH Center offered insight into how cities can use housing data to predict COVID-19 hotspots.
Locally, the City of San Antonio's emergency housing assistance is designed to mitigate displacement during COVID-19.
Decrease total occupied housing units with costs more than 30% of income by 15% (30% by 2020)
Year | Value | Margin of Error |
---|---|---|
2010 | 35% | ±1.3% |
2011 | 37% | ±1.2% |
2012 | 35% | ±1.2% |
2013 | 35% | ±1.2% |
2014 | 36% | ±1.3% |
2015 | 34% | ±1.2% |
2016 | 34% | ±1.1% |
2017 | 35% | ±1.3% |
2018 | 34% | ±1.3% |
2019 | 43% | ±1.5% |