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Where the Audience Lives: The 2019 Regional Data, in Full

This is the geographic layer of the 2019 audience research, published at full resolution: every US census division's audience pools, and the complete behavioral index table that explains why the biggest population and the best market are not the same place. It is 2019 planning data, kept because we have found no comparable public source — and read today as a worked example, not a live forecast.

The 2019 audience research mapped its audiences by US census division — not by state — and then layered drinking-behavior indices on top. This page carries the whole layer: the map, the division-by-division pools, and the full index table the summary pages only excerpt.

The Map

The 2019 filtered health target, by U.S. census division

Stylized U.S. map of the nine census divisions, shaded by 2019 filtered health targetA stylized map of the United States divided into the nine census divisions. Copper shading shows the relative size of the 2019 filtered health target in each division; a blue outline marks the five divisions the study flagged as best-fit. South Atlantic holds the largest pool at 3.0 million but is not a focus division; Mountain, at 1.0 million, is.Pacific1.9Mof 39M adultsMountain1.0Mof 18M adultsWest NorthCentral0.6Mof 17M adultsWest SouthCentral1.3Mof 29M adultsEast NorthCentral1.1Mof 36M adultsEast SouthCentral0.6Mof 15M adultsSouth Atlantic3.0Mof 49M adultsMid-Atlantic1.6Mof 33M adultsNew England0.5Mof 12M adultsDeeper copper = larger 2019 filtered health targetBlue outline = one of the study's five focus divisions

Divisions are drawn schematically, not to cartographic boundaries. Shading is the relative size of the 2019 "health target" — adults 21+ across the Food-Allergy/Gluten-Free, Gluten-Sensitive, and Wellness pools, adjusted for overlap. It is not millennial-filtered; the sizing funnel applies that filter later, which is why the funnel's numbers are much smaller than these. The blue outline marks the five divisions the study flagged as best-fit. Alaska and Hawaii belong to the Pacific division by definition; the study's maps drew the contiguous states.

The tension the map exists to show: the biggest pool is not a focus pick. The South Atlantic holds the largest filtered health target (~3.0M) but indexes low on premium-beer and cider behavior; Mountain holds a third of that (~1.0M) and indexes highest in the country on gluten-free need. Size and fit are different questions — the whole argument of Market Sizing Without Lying to Yourself.

Every Division, Every Pool

The audience pools per division, as the study measured them (millions of adults 21+; pools overlap and are not additive):

Census divisionAdults 21+GF / food-allergyGluten-sensitiveWellnessCraft-beerHealth targetFocus
South Atlantic49M0.3M1.1M2.6M2.3M3.0M(scenario B)
Pacific39M0.3M0.6M1.7M2.3M1.9M
Mid-Atlantic33M0.2M0.5M1.4M2.1M1.6M
West South Central29M0.2M0.3M1.2M1.2M1.3M
East North Central36M0.3M0.4M0.9M1.5M1.1M
Mountain18M0.3M0.3M0.9M0.9M1.0M
West North Central17M0.2M0.2M0.5M0.9M0.6M
East South Central15M0.08M0.3M0.5M0.5M0.6M
New England12M0.08M0.09M0.5M0.9M0.5M

The Full Index Table

This is the dataset the focus list actually came from, published here in full — the behavioral index of each division (100 = national average; above 100 means the behavior over-indexes there). The summary pages quote the highlights; this is all of it. Bold marks values of 105 and above — our emphasis, applied uniformly:

Index (100 = US avg)New EnglandMid-AtlanticSouth AtlanticE South CentralW South CentralE North CentralW North CentralMountainPacific
Gluten-free / food allergy848479688497135198111
Gluten-sensitive5294144117688367106108
Wellness98103126801006274125106
Craft-beer enthusiasm1551269269838110093117
Drinks alcohol1121109678901019987102
Drinks beer11410796769310010585102
Drinks super-premium beer1631228973789010691115
Drinks hard cider12811887677598111114119
Super-premium or cider14211889738093104101116

Read down the Mountain column for the sharpest single story in the dataset: the country's highest gluten-free index (198 — nearly double the national average) sitting beside beer drinking slightly below average (85). Dietary need concentrated where beer behavior runs soft — a pool that beer-market data alone would underweight, which is exactly why the study layered health indices over drinking indices instead of reading either one alone.

How the Focus List Was Built

The study's stated logic, reported in full:

  1. A progressive population filter — 21+, millennial, in a target segment (adjusted for segment overlap) — to size each division's real pool.
  2. Health characteristics of each division's population.
  3. Alcohol behavior — especially super-premium beer consumption, the closest proxy for craft-priced gluten-free beer.
  4. Soft criteria — lifestyle, health orientation, and the location of the brewing facility.

That produced the five focus divisions — New England, Mid-Atlantic, West North Central, Mountain, Pacific — and the two sizing scenarios on the evidence page, which differ only by whether the fifth slot goes to Mountain or to the South Atlantic's raw size.

How to Read This Page

  • Illustrative, not current. 2019 planning data: populations have shifted, and the divisions' indices with them. The value is the method — pools × behavior × fit — and the honest picture of how uneven this market is geographically.
  • Divisions, not states. Nothing here ranks any single state.
  • Pools overlap. One person can sit in three pools; nothing on this page is additive.
  • Reported findings, not a dataset. The figures are reported findings of a commissioned study built on licensed MRI (Mediamark) syndicated consumer data. They are published here as the study's findings, with attribution — there is deliberately no CSV or download, and these third-party-derived figures are excluded from this site's CC BY reuse grant. Cite this page, not a dataset.
Source and Method Notes

All figures transcribed from the Independent Target-Audience Research — MRI Summary (delivered March 12, 2019), census-division map slides and index table. The commissioning details — scoped and approved January 2019, built on MRI (Mediamark Research & Intelligence) syndicated consumer data using MRI's weighted-index method (for each audience segment: the expected number of adults or households, the percentage, and an index against the general population for each measured variable) — come from the signed commissioning scope retained in the Bard's archive, a separate document from the summary itself. The map graphic above is this site's own visualization; division shapes are schematic. The study's own regional slides flagged Pacific, Mountain, West North Central, New England, and Mid-Atlantic as indexing high for super-premium beer consumption, predisposition to drink alcohol, hard-cider drinking, and dietary health needs.