US drug-overdose mortality intelligence (monthly)
Monthly drug-overdose mortality intelligence from the CDC's keyless VSRR Provisional Drug Overdose Death Counts endpoint (U.S. public domain): 53 jurisdictions (50 states + DC + New York City + Puerto Rico) x 136 trailing 12-month-ending months (2015-01 -> latest) as a state-month panel. Agent-side intelligence: reported vs model-predicted 12-month-ending deaths, completeness and pending-investigation shares, overdose share of all-cause deaths, six drug-category counts (opioids, synthetic opioids excl. methadone, psychostimulants, cocaine, heroin, methadone) with non-additive mix shares, year-over-year change of the 12-month window, state share of the national total, provisional/declining/surging/record flags, and a documented 0-100 within-month overdose-burden score (50% log-volume + 50% winsorized YoY) with ranks and quartile tiers b1..b4. National 'United States' row kept as month-level context. Cadence: monthly; as_of is the Socrata view's updatedAt date, so identical input yields an identical content hash. Caveats: provisional counts subject to revision; 12-month-ending smoothing lags turning points; drug shares are non-additive; NYC reports separately from NY State; Louisiana has no drug-mix breakdown (honest nulls); the burden score is a within-month gauge, not a per-capita rate. Sample use: filter surging_flag for accelerating states, or order by burden_rank for the heaviest current burden.
- Rows
- 7,208
- Columns
- 37
- Source cadence
- Monthly
- Last refreshed
- Sep 28, 2026
- Theme
- health
| Column | Type | Description |
|---|---|---|
| month | string | 12-month-ending month as ISO YYYY-MM (the window's end month). |
| year | integer | Calendar year of the 12-month-ending window's end. |
| state_name | string | Jurisdiction (50 states + District of Columbia + New York City + Puerto Rico). |
| state_code | string | Jurisdiction code (USPS for states/DC/PR; NYC for New York City, remapped from the feed's 'YC', which reports separately from New York State). |
| country_code | string | ISO 3166-1 alpha-3 (USA for all jurisdictions). |
| od_deaths_reported | float | Reported 12-month-ending drug-overdose deaths (VSRR data_value). (unit: deaths) |
| od_deaths_predicted | float | CDC model-predicted 12-month-ending overdose deaths, adjusted for under-reporting (VSRR predicted_value). (unit: deaths) |
| pct_complete | float | Completeness of the 12-month window's death-certificate flow (VSRR percent_complete). (unit: percent) |
| pct_pending_investigation | float | Share of deaths still pending investigation. (unit: percent) |
| all_cause_deaths | float | Reported 12-month-ending all-cause deaths (VSRR 'Number of Deaths'). (unit: deaths) |
| od_share_all_cause_pct | float | Overdose deaths as a share of all-cause deaths. (unit: percent) |
| opioid_deaths | float | 12-month-ending deaths involving opioids (T40.0-T40.4, T40.6). (unit: deaths) |
| synth_opioid_deaths | float | Deaths involving synthetic opioids excl. methadone (T40.4, the fentanyl proxy). (unit: deaths) |
| psychostim_deaths | float | Deaths involving psychostimulants with abuse potential (T43.6). (unit: deaths) |
| cocaine_deaths | float | Deaths involving cocaine (T40.5). (unit: deaths) |
| heroin_deaths | float | Deaths involving heroin (T40.1). (unit: deaths) |
| methadone_deaths | float | Deaths involving methadone (T40.3). (unit: deaths) |
| opioid_share_pct | float | Opioid deaths as a share of overdose deaths (non-additive across categories). (unit: percent) |
| synth_opioid_share_pct | float | Synthetic-opioid deaths as a share of overdose deaths. (unit: percent) |
| psychostim_share_pct | float | Psychostimulant deaths as a share of overdose deaths. (unit: percent) |
| cocaine_share_pct | float | Cocaine deaths as a share of overdose deaths. (unit: percent) |
| heroin_share_pct | float | Heroin deaths as a share of overdose deaths. (unit: percent) |
| methadone_share_pct | float | Methadone deaths as a share of overdose deaths. (unit: percent) |
| od_yoy_pct | float | Year-over-year percent change of the reported 12-month-ending count (window shifted 12 months). (unit: percent) |
| us_od_deaths_reported | float | National reported 12-month-ending overdose deaths (the feed's 'United States' row). (unit: deaths) |
| us_od_deaths_predicted | float | National predicted 12-month-ending overdose deaths. (unit: deaths) |
| state_share_us_pct | float | Jurisdiction share of the national 12-month overdose total. (unit: percent) |
| provisional_flag | boolean | True when percent_complete < 90 (low-completeness window). |
| declining_flag | boolean | True when od_yoy_pct <= -5%. |
| surging_flag | boolean | True when od_yoy_pct >= +10%. |
| record_12m_flag | boolean | True when the month is the jurisdiction's trailing-36-month maximum (requires >= 12 months of history). |
| burden_score | float | Documented 0-100 within-month burden score: 100*(0.50*mm(log1p(reported deaths)) + 0.50*mm(winsorized YoY in [-50, +50])). |
| burden_rank | integer | Rank of the burden score within the month (1 = heaviest). |
| burden_tier | string | Quartile tier of the burden score: b1 (heaviest) .. b4. |
| source_url | string | Canonical VSRR Socrata API query for this (jurisdiction, year) cell (per-row provenance). |
| as_of | string | Socrata view updatedAt date. Identical feed state yields an identical snapshot hash. (unit: date) |
| row_hash | string | Deterministic content hash over the row's content fields. |
First 10 sample rows — a preview, not the complete dataset.
| month | year | state_name | state_code | country_code | od_deaths_reported | od_deaths_predicted | pct_complete | pct_pending_investigation | all_cause_deaths | od_share_all_cause_pct | opioid_deaths | synth_opioid_deaths | psychostim_deaths | cocaine_deaths | heroin_deaths | methadone_deaths | opioid_share_pct | synth_opioid_share_pct | psychostim_share_pct | cocaine_share_pct | heroin_share_pct | methadone_share_pct | od_yoy_pct | us_od_deaths_reported | us_od_deaths_predicted | state_share_us_pct | provisional_flag | declining_flag | surging_flag | record_12m_flag | burden_score | burden_rank | burden_tier | source_url | as_of | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-01 | 2,015 | California | CA | USA | 4,603 | 4,687 | 100 | 0.238 | 248,191 | 1.855 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47,523 | 47,856 | 9.686 | false | false | false | false | 50 | 1 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27California%27%20AND%20year%3D%272015%27 | 2026-09-16 | 581dccbfef21b541 |
| 2015-01 | 2,015 | Ohio | OH | USA | 2,829 | 2,829 | 100 | 0.006 | 115,935 | 2.44 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47,523 | 47,856 | 5.953 | false | false | false | false | 44.53 | 2 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27Ohio%27%20AND%20year%3D%272015%27 | 2026-09-16 | 09e750c64e3cc91f |
| 2015-01 | 2,015 | Pennsylvania | PA | USA | 2,788 | 2,847 | 100 | 0.263 | 131,628 | 2.118 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47,523 | 47,856 | 5.867 | false | false | false | false | 44.36 | 3 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27Pennsylvania%27%20AND%20year%3D%272015%27 | 2026-09-16 | 04e0ec2b6ca81455 |
| 2015-01 | 2,015 | Florida | FL | USA | 2,755 | 2,755 | 100 | 0.035 | 189,170 | 1.456 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47,523 | 47,856 | 5.797 | false | false | false | false | 44.23 | 4 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27Florida%27%20AND%20year%3D%272015%27 | 2026-09-16 | 72f12f95ddad0b3f |
| 2015-01 | 2,015 | Texas | TX | USA | 2,577 | 2,608 | 100 | 0.184 | 187,532 | 1.374 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47,523 | 47,856 | 5.423 | false | false | false | false | 43.48 | 5 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27Texas%27%20AND%20year%3D%272015%27 | 2026-09-16 | 9bbc1da373c2632c |
| 2015-01 | 2,015 | Michigan | MI | USA | 1,796 | 1,796 | 100 | 0.045 | 93,274 | 1.926 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47,523 | 47,856 | 3.779 | false | false | false | false | 39.42 | 6 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27Michigan%27%20AND%20year%3D%272015%27 | 2026-09-16 | fb938bad4528f03c |
| 2015-01 | 2,015 | Illinois | IL | USA | 1,652 | 1,652 | 100 | 0.025 | 103,054 | 1.603 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47,523 | 47,856 | 3.476 | false | false | false | false | 38.48 | 7 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27Illinois%27%20AND%20year%3D%272015%27 | 2026-09-16 | 4c26da200bd75f89 |
| 2015-01 | 2,015 | New York | NY | USA | 1,510 | 1,545 | 100 | 0.279 | 96,525 | 1.564 | 1,172 | 248 | 41 | 277 | 544 | 126 | 77.616 | 16.424 | 2.715 | 18.344 | 36.026 | 8.344 | — | 47,523 | 47,856 | 3.177 | false | false | false | false | 37.47 | 8 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27New%20York%27%20AND%20year%3D%272015%27 | 2026-09-16 | 1034bc260ca4a0d5 |
| 2015-01 | 2,015 | North Carolina | NC | USA | 1,359 | 1,401 | 100 | 0.344 | 87,132 | 1.56 | 979 | 209 | 31 | 220 | 270 | 127 | 72.038 | 15.379 | 2.281 | 16.188 | 19.868 | 9.345 | — | 47,523 | 47,856 | 2.86 | false | false | false | false | 36.29 | 9 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27North%20Carolina%27%20AND%20year%3D%272015%27 | 2026-09-16 | a94a83d3b986a826 |
| 2015-01 | 2,015 | Massachusetts | MA | USA | 1,296 | 1,505 | 100 | 1.299 | 57,044 | 2.272 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47,523 | 47,856 | 2.727 | false | false | false | false | 35.75 | 10 | b1 | https://data.cdc.gov/resource/xkb8-kh2a.json?$where=state_name%3D%27Massachusetts%27%20AND%20year%3D%272015%27 | 2026-09-16 | 9ce83ef47f8c48ef |
- Current
20260928T224102Z-7ff6282daa28 · sha256 7ff6282daa28…
7,208 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/cdc_overdose_signals/us_drug_overdose_mortality_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/cdc_overdose_signals/us_drug_overdose_mortality_monthly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/cdc_overdose_signals/us_drug_overdose_mortality_monthly
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260928T224102Z-7ff6282daa28 and its content hash, so readers get exactly the data you used.
CDC National Vital Statistics System — Vital Statistics Rapid Release (VSRR). (2026). US drug-overdose mortality intelligence (monthly) [Data set, snapshot 20260928T224102Z-7ff6282daa28, sha256 7ff6282daa28]. Datazimuts. Retrieved 2026-09-29, from https://datazimuts.com/en/datasets/cdc_overdose_signals/us_drug_overdose_mortality_monthly?snapshot=20260928T224102Z-7ff6282daa28
@misc{dz_cdc_overdose_signals_us_drug_overdose_mo_7ff6282d,
title = {{US drug-overdose mortality intelligence (monthly)}},
author = {{CDC National Vital Statistics System — Vital Statistics Rapid Release (VSRR)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/cdc_overdose_signals/us_drug_overdose_mortality_monthly?snapshot=20260928T224102Z-7ff6282daa28}},
note = {Snapshot 20260928T224102Z-7ff6282daa28, sha256 7ff6282daa28422e12578ded521ef7c147bc53e575de65b138ec42489f957aa3; accessed 2026-09-29}
}Embed a table or a chart
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<iframe src="https://datazimuts.com/embed/chart?dataset=cdc_overdose_signals%2Fus_drug_overdose_mortality_monthly&lang=en&theme=auto&snapshot=20260928T224102Z-7ff6282daa28&x=year&y=year&agg=avg" title="US drug-overdose mortality intelligence (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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