Drug poisoning mortality by county

What this dataset is

Estimated age-adjusted drug-poisoning death rates (banded ranges, to preserve small-area confidentiality) for every U.S. county over time, with population. The standard federal small-area measure of fatal overdose burden, useful anywhere mortality is a proxy for need, risk or demand for treatment and support services. It is published by National Center for Health Statistics (CDC) and can be queried at county and state level, refreshed annual. Each row is an aggregate statistic for a geography, so results describe a market as a whole rather than a single account.

Why it is useful

• Separates markets with real clinical demand from markets that only have supply.
• Grounds a territory case in published prevalence and utilisation instead of assumption.
• Highlights where need outruns available capacity — usually the fastest conversations.

Questions it helps answer

• Where is the underlying clinical need highest relative to available capacity?
• How does utilisation here compare with the state and national picture?
• Which measures are suppressed or unreported for this geography?

How different verticals use it

RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.

How RepVector uses it

1. You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at county runs without you knowing any codes.
2. The planner selects Drug poisoning mortality by county only when your question matches what it actually reports. It is never included to pad a result.
3. Returned rows are normalised into the shared metric layer, so figures from National Center for Health Statistics (CDC) line up with every other source in the same dashboard instead of sitting in an isolated table.
4. Quality checks score coverage and recency. If National Center for Health Statistics (CDC) suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
5. The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.

What it does not tell you

• Aggregated and often suppressed at small geographies to protect privacy; gaps are reported rather than filled in.

How it fits with the rest of the catalog

Need data explains why a territory matters; provider and facility data explains who you visit once you get there. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to Drug poisoning mortality by county:

Common questions