Louisiana has the most internationally famous environmental health geography in the United States: the industrial corridor along the Mississippi River between Baton Rouge and New Orleans. If you asked a room of public health people to point at the Louisiana parishes where health risks pile on top of each other, most fingers would land there. The parish-level data points somewhere else.
23 of Louisiana’s 64 parishes currently show two or more major health-risk areas running worse than most of the country at the same time. That is 35.9% of the state’s parishes, the ninth-highest share in the nation and well above the national rate of 22.9%. And the list is dominated not by the river corridor but by the rural northeast: the Louisiana side of the Mississippi Delta, plus the north-central uplands and a band of Acadiana and Florida-parishes communities. Together the 23 flagged parishes hold about 508,000 people, roughly 11% of the state.
For anyone preparing a community health needs assessment in Louisiana, the gap between the famous story and the data story is the finding. Both stories are real. They are just different problems, in different places, needing different responses, and the corridor’s fame should not be allowed to set the agenda for the Delta’s CHNA.
What the flag measures, applied to Louisiana
Banana Analytics scores every U.S. county and parish from 0 to 100 on four health-risk areas: environmental risk, disease burden, provider access, and social and economic conditions. Each score is a national standing, so a 70 means the parish sits worse than at least 70% of U.S. counties on that dimension. When two or more areas cross that line at once, the parish carries a converging-risk flag. Nationally, 738 of 3,222 counties (22.9%) currently do.
Louisiana has 23 of 64, ranking 9th among states by share and 11th by raw count. Two parishes are in the stronger tier with three areas above the line at once: Tensas and East Carroll, both in the Delta, both flagging disease burden, provider access, and social and economic conditions together. The other 21 all share a single signature: disease burden plus social and economic conditions. Not one of the 23 crosses the line on environmental risk.
In the platform’s methodology this pattern is called Multi-Pillar Convergence: two or more of the four pillar scores at or above the 70th national percentile, with tiers at 2 of 4 (Moderate), 3 of 4 (Strong), and 4 of 4 (Extreme). Full scoring documentation is at banana-analytics.com/methodology.
That last sentence deserves a hard look before anyone concludes Louisiana does not have an environmental health problem, so we will start there.
The corridor everyone knows, read honestly
The river parishes absolutely register in our data, just not through the four-area convergence flag. The platform’s Industrial Burden signal, which blends industrial emissions exposure with the size of the surrounding population, puts the corridor at the very top of the national distribution: St. Charles (99.5), Iberville (99.1), St. James (98.8), Ascension (98.3), and St. John the Baptist (96.4) all score worse than roughly 96% of U.S. counties on industrial emissions exposure. Two honesty notes: the platform currently marks this signal low confidence for these parishes, and the score measures emissions landing near people, not proven health outcomes.
But when you ask the broader question, “how many major health-risk areas are running high at once here,” the corridor mostly does not flag. Ascension Parish is the clearest example: one of the highest industrial exposure scores in America, and a disease burden score of 24.7 with social and economic conditions at 28.2, both far better than the national average. It is a prosperous suburban parish with heavy industry in it. St. James flags zero of the four areas. Iberville flags zero. St. John the Baptist flags one.
Part of that is real: several river parishes have relatively strong incomes and insurance coverage. Part of it is the honest limit of parish-grain data: fence-line exposure in Louisiana is a neighborhood phenomenon, and a parish average that blends a fence-line community with prosperous subdivisions can wash the neighborhood out of the number. A CHNA for the corridor should treat the parish score as the starting point and work at the census-tract level, which is exactly where the national reporting on these communities has always pointed.
What the parish-grain data does establish is this: if the convergence flag is the question, the corridor is not the answer. The answer is 200 miles north.
Where Louisiana’s risks actually converge: the Delta
The Louisiana side of the Mississippi Delta carries the state’s two stronger-tier parishes and the sharpest individual profiles in the dataset.
Tensas Parish (St. Joseph, population 3,764) posts the highest overall need score in Louisiana at 72.0, with disease burden, provider access, and social and economic conditions all above the line at once. Its adult diabetes prevalence is 25.1%. Read that again: one in four adults. Median household income is about $35,700, 47% of children live in poverty, adult obesity is 48.4%, and one in five households is food insecure.
East Carroll Parish (Lake Providence, population 6,829) is the other strong-tier parish: diabetes at 22.0%, obesity at 51.2%, median household income about $34,600, and a child poverty rate of 53%, one of the highest in the United States. Madison Parish (Tallulah) next door runs the same profile: 22.6% diabetes and 48% child poverty.
These three parishes, along with Concordia, Morehouse, Franklin, Richland, West Carroll, Catahoula, and Caldwell, form a contiguous Delta band where the flag is driven by chronic disease stacked on severe social and economic strain. The parishes are majority or near-majority Black (East Carroll 64%, Madison 63%, Tensas 53%), and the pattern is the direct continuation of the one we documented across the river in our Mississippi analysis: the Delta’s health geography does not respect the state line. Across Louisiana’s 23 flagged parishes, average adult diabetes prevalence is 19.3%, against a national county average of 13.7%, and 16 of the 23 have social and economic conditions scores of 90 or worse.
The uplands, Acadiana, and the Florida parishes
The remaining flagged parishes spread across three smaller clusters. The north-central uplands (Claiborne, Webster, Bienville, Red River, De Soto, Sabine, Union) run the same disease-plus-social-conditions signature at slightly lower intensity; these are timber and old oil-patch parishes in the orbit of Shreveport and Ruston. In Acadiana and central Louisiana, St. Landry (Opelousas, population 81,464) is the largest flagged parish in the state, joined by Avoyelles, Pointe Coupee, and St. Mary. In the Florida parishes east of Baton Rouge, Washington and St. Helena carry the flag.
The practical point for CHNA work: 23 parishes sounds like a scattered list, but it is really four coherent regions, and three of them sit in the referral shadows of Monroe, Shreveport, Alexandria, and Lafayette rather than Baton Rouge or New Orleans. The hospitals with the analytical staff are mostly not the hospitals whose service areas carry the flags.
All 23 are heat-vulnerable, and it is July
Every one of the 23 flagged parishes also triggers our Heat Vulnerability signal at high confidence, with scores from 88 to 93. The mechanism is the same one we documented nationally in our heat and cardiology analysis: extreme heat lands hardest on populations with high cardiovascular and metabolic disease and thin specialty care, and a Delta parish where one in four or five adults has diabetes is close to the definitional worst case. Gulf South humidity makes the physiological load worse than the dry-bulb temperature suggests. For these parishes, heat is not a climate footnote in a CHNA. It is a chronic disease multiplier arriving on schedule every summer.
Heat Vulnerability (extreme heat exposure × heat-vulnerable population) and Industrial Burden (industrial emissions exposure × surrounding population) are two of the eight named Compound Signals in the platform. Signal scores and confidence levels appear on each parish page and in the platform’s Compound Signals tab.
What about New Orleans and Baton Rouge?
The metros tell a one-dimension story worth naming. Orleans Parish posts a social and economic conditions score of 98.7, worse than virtually every county in America, and East Baton Rouge (89.9) and Jefferson (87.9) are not far behind. None of the three carries the convergence flag, because their parish-level disease burden and provider access scores sit below the threshold; the hospitals and specialists are physically there. As with the corridor, the parish average conceals the split that a tract-level CHNA would surface. A flag is a screen, not a verdict, and a 98.7 on one dimension is not something a New Orleans CHNA should read as reassurance.
What mortality confirms
The within-Louisiana comparison is direct. Across 2024 crude mortality rates from CDC WONDER, the 23 flagged parishes run 32% higher all-cause mortality than the 41 unflagged parishes (1,549 versus 1,171 deaths per 100,000), 42% higher heart disease mortality, 40% higher chronic lower respiratory disease mortality, 27% higher cancer mortality, and 24% higher stroke mortality.
These are crude rates, not age-adjusted, and the flagged parishes skew somewhat older, so part of the gap is age structure. But unlike some states we have profiled, the direction here is uniform: the excess holds across every major cause of death, and it is largest in exactly the cardiometabolic and respiratory causes the disease-burden scores predict. For a CHNA disparities section, the honest framing is parish-versus-parish within Louisiana, and the numbers above are citable as they stand.
For practitioners
If you write CHNAs for Louisiana hospital facilities, the two-story structure of this article is a usable organizing frame. The corridor story is an environmental justice and tract-level exposure story; the Delta story is a chronic disease and social conditions story with heat as a multiplier. A needs assessment that imports the corridor framing into a Delta service area, or vice versa, will misallocate its implementation strategies.
If you serve a critical access hospital, rural health clinic, or FQHC in the flagged parishes, the numbers in this article (diabetes prevalence, child poverty, food insecurity, heat vulnerability, and the mortality gaps) are intended to be directly citable, and every parish page linked here is free to view with source attribution intact.
If you work in community benefit or population health at one of the systems in Baton Rouge, New Orleans, Shreveport, or Monroe, your facility’s referral catchment almost certainly reaches into flagged parishes even if your home parish carries no flag. The platform can score any service area you define, whether that is a parish list, a ZIP list, or a drive-time boundary around a facility.
The numbers in this article come from the production dataset behind every parish page on this site, pulled July 13, 2026, and include CDC PLACES disease prevalence, Census ACS five-year social and economic measures, CDC WONDER 2024 mortality, and CMS NPPES provider data. Disease prevalence figures are model-based small-area estimates. Scores refresh with each pipeline release, so live pages may drift slightly from the figures here; where they do, the parish page is the current number.