The other ledger for Minnesota: 97,506 homes short for the poorest renters, 19 rural hospitals at risk and only 48 of 98 still delivering babies, a $16.9 billion water bill, and a grid asked to find 2,300 megawatts of new data-centre load — set against bridges and dams that are honestly among the nation's better-kept. Every figure is sourced, dated, and labeled — counted, modeled, or assessed.
How to read this page: the class chip on every measure is the honesty label. Counted = an inspection or enumeration record. Modeled = a study's projection or risk score — printed with the modeler's name. Assessed = a structured survey of required investment — needs as documented, not measurements of decay. Figures keep the form their source gave them; years are printed on every measure.
Click any category to expand it — every measure with its figure, what it means in plain language, and its source.
Nine categories, 19 measures. Minnesota's needs ledger is two-sided: a 97,506-home deficit for its poorest renters, 19 rural hospitals at financial risk and a $16.9B water bill, set against genuinely decent bridges (4% poor) and one of the smallest high-hazard dam fleets in the country — and a power system asked to find about 2,300 MW of new data-centre load within seven years.
Where sources disagree or measure differently, both are printed and neither is averaged away. The hospitals category runs on CHQPR's financial screen (19 at risk, 6 at immediate risk); Chartis's national vulnerability model weighs different indicators and no Minnesota-specific Chartis count was published in the sources reviewed, so none is blended in — while the service-loss record (only 48 of 98 rural hospitals still delivering babies) is on the page in the notes. Food runs on two different instruments — Feeding America's hunger estimate and Hunger Solutions' shelf-visit count — printed as the different things they are. The dams category prints the hazard inventory and the DNR's own repair-need estimate rather than a poor-condition count no source published.
Metro and utility figures are labelled as what they are: the traffic numbers are TTI's for the Minneapolis–St. Paul MN-WI urban area — no statewide congestion total exists, and none is printed — and the power numbers are Xcel Energy's and Great River Energy's own planning anticipations for data-centre load, forecasts labelled as forecasts, covering service territories that in Xcel's case extend into the Dakotas. The food category prints no USDA low-access tract resident count, because no verified statewide figure was published in the sources reviewed.