A significantly lower percentage of people living along the U.S.-Mexico border are living with zero risk factors than those in the nation as a whole, according to the U.S. Census Bureau’s Community Resilience Estimates (CRE).
The CRE looks at various risk factors, from income to age and health insurance coverage, to measure how resilient and how at-risk communities are to the impacts of disasters.
In this story, we use the Department of Health and Human Services’ U.S. Mexico Border Health Commission (USMBHC)’s definition of border.
Established by a binational executive agreement in 2000, the USMBHC was created “to identify and evaluate current and future health problems affecting the population in the United States-Mexico Border Area, and to encourage and facilitate actions to address those problems.” (Examples of this work can be found in the 2020 Healthy Border report [PDF].)
A quarter of people living in border counties are considered high-risk and the rate is higher in Texas than in two other border states – California, Arizona.
The Census Bureau launched the CRE in summer 2020 in response to the COVID-19 pandemic to provide a snapshot measurement of the risk and resilience of every neighborhood in the United States.
A quarter of people living in border counties are considered high-risk and the rate is higher in Texas than in two other border states – California, Arizona. (The rate between Texas and New Mexico was not statistically different.)
The national discussion of areas along the U.S.-Mexico border often treats these communities as monolithic. However, each area is unique with different strengths and weaknesses – variability in socio-economic profiles that can help shape health services and other policy decisions.
The CRE shows there is great variation both in the selected 44 border counties and within the four states that make up the U.S. side of the region.
Using microdata from the American Community Survey (ACS), the CRE measures the presence of high-risk individuals within a given community using a score based on 10 pre-selected risk factors:
CRE groups individuals within risk categories by the number of associated risk factors: low-risk (0), medium-risk (1-2) and high-risk (3+).
The risk estimates enable us to look at characteristics for communities down to the tract level, including those along the southern border.
The CRE provides a unique new tool for measuring this dynamic region and identifying the health concerns of all border residents.
Based on the CRE, approximately one out of four (25.3%) people living in border counties in 2019 were considered high-risk with three or more risk factors (Figure 1).
However, this was not significantly different than the 21.6% considered to be at high-risk in the other counties in the four border states or the 21.5% share of the national population considered high-risk.
Border and non-border populations within border states shared similar estimated proportions for medium risk (48.5% vs. 48.6%), and low risk (26.1% vs. 29.8%). However, compared to all inner U.S. counties, the proportion of low-risk border residents was statistically lower (26.1%) than for the non-border residents (34.8%).
The estimated percentage of Texas border residents at high risk (34.7%) was higher than for border populations reported by Arizona (24.0%) and California (18.3%). (The difference between Texas and New Mexico’s 26.9% share of high-risk residents was not statistically significant.)
The high-risk rate for people who live in border counties in Texas was:
The estimated medium-risk border population rates were comparable in Arizona (47.6%), California (50.7%), New Mexico (47.8%), and Texas (46.4%).
However, Texas had fewer people in border counties with zero risk factors: 19.0% compared to 28.4% in Arizona and 31.0% in California. (The 25.3% share in New Mexico was not statistically significant from Texas).
Using ACS microdata, the CRE presents risk factor profiles in an easily understood metric that can be used to make informed, data-driven decisions. The most recent version of the CRE is based on the 2019 ACS with data available at the nation, state, county, and census tract levels.
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