Methodology
How OpiEye collects, processes, and presents drug overdose data.
What This Data Covers
Why Our Numbers May Differ from Other Sources
If you look up overdose statistics and find different numbers, common reasons include:
- Provisional versus finalized data. Our recent data (2024 onward) is provisional — death certificates are still being processed. Final counts are typically 5–15% higher.
- 12-month rolling versus calendar year. The CDC publishes 12-month rolling counts ending each month. We convert these to quarterly estimates by dividing by four, which smooths seasonal variation.
- Different base years. Per capita rates depend on which population estimate is used. We use year-specific Census Bureau estimates.
United States Data Sources
2020 onward: CDC Vital Statistics Rapid Release (VSRR) Provisional County-Level Drug Overdose Death Counts (dataset gb4e-yj24). These are 12-month rolling counts converted to quarterly estimates. Counties with fewer than 10 deaths are suppressed by the CDC for privacy.
2003–2019: National Center for Health Statistics model-based estimates (dataset rpvx-m2md). These use a Bayesian spatial-temporal model that smooths rates across neighboring counties. Individual county figures are approximate — the model pulls small counties toward their neighbors' averages.
1999–2002: NCHS Drug Poisoning Mortality by County, categorical edition (dataset p56q-jrxg). Same Bayesian methodology as rpvx-m2md, but covering the pre-2003 period. Rates are published in 16 categorical ranges rather than as exact values. OpiEye maps each range to its midpoint. Individual county figures are approximate to within about ±1 death per 100,000.
Population: Census Bureau Population Estimates Program, Vintage 2025 county estimates (co-est2025-alldata.csv). Each quarter uses the population estimate for its corresponding year.
Emergency department visits: Estimated at 3–6 times the death count based on published epidemiological ratios. Primary source: Casillas et al., Injury Prevention 2024;30(2):114–124 (PMC10958315). For synthetic opioids (fentanyl), the ratio inverts — fatal overdoses exceed nonfatal ED visits. The 3–6x estimate should not be cited as measured data.
CDC VSRR: data.cdc.gov/NCHS/.../gb4e-yj24
NCHS Mortality 2003–2021 (exact rates): data.cdc.gov/NCHS/.../rpvx-m2md
NCHS Mortality 1999–2016 (categorical): data.cdc.gov/NCHS/.../p56q-jrxg
Opioid and Fentanyl Breakdown
While the map shows all drug overdose deaths, opioids are the primary driver of the crisis. According to 2024 CDC data:
- 79,384 total drug overdose deaths
- 54,045 (68%) involved an opioid (ICD-10 codes T40.0–T40.4, T40.6)
- 47,735 (60%) involved fentanyl or other synthetic opioids (T40.4)
Opioid-involved deaths include heroin (T40.1), fentanyl and synthetic opioids (T40.4), prescription opioids like oxycodone and hydrocodone (T40.2), methadone (T40.3), opium (T40.0), and other unspecified opioids (T40.6).
Source: NCHS Data Brief 549, "Drug Overdose Deaths in the United States, 2023–2024"
International Comparisons
International data comes from each country's national health authority. These comparisons are approximate because countries define and count opioid deaths differently:
| Factor | How It Varies |
|---|---|
| What counts as an opioid | Some countries count only heroin; others include methadone, prescription opioids, and fentanyl analogues |
| Cause of death attribution | Some require opioids as the underlying cause; others count any mention on the death certificate |
| Intent | Some include suicides involving opioids; others count only accidental poisonings |
| Reporting system | Medical examiner or coroner (United States, Canada, Australia), police records (Germany, Italy), national drug monitoring (France), or statistical estimates (European Union) |
| Completeness | Some systems are acknowledged as non-exhaustive. Some use minimum counts (Italy police-sourced) |
European opioid counts are derived from the European Union Drugs Agency (EUDA) by multiplying total drug-induced deaths by the opioid involvement percentage. This introduces rounding and assumes the percentage is consistent across regions within each country.
When you click a country on the map, OpiEye shows the specific definition used for that country so you can judge the comparison yourself.
Data Quality Tiers
| Label | Time Period | What It Means |
|---|---|---|
| CDC Provisional | 2024 onward | Death certificates still being processed. Counts will increase as investigations complete. Expect 5–15% undercount. |
| CDC Estimated | 2020–2023 | Derived from 12-month rolling counts divided by four. Seasonal variation is smoothed out. |
| NCHS Modeled | 2003–2019 | Statistical estimates that smooth rates across neighboring counties. Good for geographic patterns; less reliable for individual small counties. |
| NCHS Categorical | 1999–2002 | Same NCHS modeling, but rates published in 16 categorical ranges instead of exact values. Precise to within about ±1 death per 100,000. |
Suppressed counties (fewer than 10 deaths reported to the CDC) are filled with the most recent available modeled estimate. Approximately 462 counties are affected.
Known Limitations
- Seasonal patterns are hidden. Drug overdose deaths peak in winter months, but our quarterly conversion distributes deaths evenly.
- Small counties are less reliable. Modeled estimates smooth toward regional averages.
- Emergency visits are synthetic. The 3–6x multiplier is based on Casillas et al. 2024. The ratio has been declining over time and inverts for fentanyl.
- Population estimates. Per capita rates use Census Bureau year-specific estimates, which are themselves estimates with margins of error.
- International definitions are not equivalent. Cross-country comparisons show the general scale of the crisis but should not be treated as precise rankings.
How to Cite This Data
OpiEye aggregates and visualizes public data. When citing specific numbers, reference the original source:
- United States county data: CDC VSRR Provisional County-Level Drug Overdose Death Counts
- United States 2003–2019: NCHS Drug Poisoning Mortality by County, Model-Based Estimates (rpvx-m2md)
- United States 1999–2002: NCHS Drug Poisoning Mortality by County, Categorical Rates (p56q-jrxg)
- International data: See each country's source listed in the country detail popup
OpiEye is a public health tool, not a primary data source. Our methodology is transparent so you can evaluate the data yourself.
