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Stroke statistics — quick reference

Last curated: 2026-08-30

Use note. Each row specifies estimate year/follow-up, population and method. Counts, rates, proportions, odds ratios and modelled attributable fractions are not interchangeable. Uncertainty intervals (UI) accompany Global Burden of Disease (GBD) model estimates; confidence intervals (CI) accompany sampled studies. Conflicting estimates are retained side by side rather than averaged. Every PMID was retrieved through live PubMed E-utilities on 2026-08-30.


1. Global burden in 2019

Source for all rows in this section: GBD 2019 Stroke Collaborators, a standardized model integrating available data for 204 countries and territories and estimating ischemic stroke, ICH, SAH and all stroke by age, sex and World Bank income group (GBD 2019 Stroke Collaborators 2021, PMID 34487721).

Measure Estimate (95% UI) Estimate year Population Method / denominator
Incident strokes 12.2 million (11.0–13.6) 2019 Global, all ages GBD modeled annual first and recurrent events
People living with stroke 101 million (93.2–111) 2019 Global, all ages GBD modeled prevalence
Stroke deaths 6.55 million (6.00–7.02) 2019 Global, all ages GBD cause-of-death model
Stroke DALYs 143 million (133–153) 2019 Global, all ages years of life lost + years lived with disability
Share of all deaths 11.6% (10.8–12.2) 2019 Global deaths stroke deaths / deaths from all causes
Share of all DALYs 5.7% (5.1–6.2) 2019 Global DALYs stroke DALYs / DALYs from all causes
Global cause rank 2nd for death; 3rd for death/disability combined 2019 Global GBD cause ranking

GBD estimates are modeled, not a census of events. Data density, death certification and surveillance quality vary by country; UI reflects modeled uncertainty but cannot capture every structural data defect.

2. Pathological types

Stroke type Incident events (95% UI) Share of incident stroke Estimate year Population / method Source
Ischemic stroke 7.63 million (6.57–8.96) 62.4% 2019 Global GBD model PMID 34487721
Intracerebral hemorrhage 3.41 million (2.97–3.91) 27.9% 2019 Global GBD model PMID 34487721
Subarachnoid hemorrhage 1.18 million (1.01–1.39) 9.7% 2019 Global GBD model PMID 34487721

These are global proportions. Hospital series in high-income settings commonly show a larger ischemic share; case ascertainment, population age and competing mortality change the mix. Do not use the global 62.4/27.9/9.7 split as a local diagnostic prior without local surveillance.

3. Change from 1990 to 2019: counts versus rates

Measure Change in absolute number (95% UI) Change in age-standardized rate (95% UI) Population / method Source
Incident stroke +70.0% (67.0–73.0) −17.0% (−18.0 to −15.0) Global GBD model, 1990→2019 PMID 34487721
Prevalent stroke +85.0% (83.0–88.0) −6.0% (−7.0 to −5.0) Global GBD model, 1990→2019 PMID 34487721
Stroke deaths +43.0% (31.0–55.0) −36.0% (−42.0 to −31.0) Global GBD model, 1990→2019 PMID 34487721
Stroke DALYs +32.0% (22.0–42.0) −36.0% (−42.0 to −31.0) Global GBD model, 1990→2019 PMID 34487721
Prevalence rate in people <70 +22.0% (21.0–24.0) Global GBD model, 1990→2019 PMID 34487721
Incidence rate in people <70 +15.0% (12.0–18.0) Global GBD model, 1990→2019 PMID 34487721

Population growth and aging can increase absolute events while age-standardized rates fall. Both statements are true; reporting only the rate trend understates service demand, while reporting only counts understates prevention progress.

4. Income inequality

Comparison Ratio (95% UI) Estimate year Population / method Source
Age-standardized stroke mortality, low- vs high-income country group 3.6× (3.5–3.8) 2019 World Bank income groups in GBD model PMID 34487721
Age-standardized stroke DALY rate, low- vs high-income country group 3.7× (3.5–3.9) 2019 World Bank income groups in GBD model PMID 34487721

Country-income groups are ecological categories. These ratios do not measure within-country inequality or attribute causality to national income alone.

5. Risk-attributable burden

GBD population-attributable fractions estimate the fraction of stroke DALYs theoretically preventable if exposure were reduced to the theoretical minimum-risk level, assuming modeled causal effects. Fractions overlap because risk factors co-occur and therefore must not be summed (GBD 2019 Stroke Collaborators 2021, PMID 34487721).

Risk factor Stroke DALYs attributable (95% UI) Fraction of stroke DALYs (95% UI) Estimate year Population / method
High systolic blood pressure 79.6 million (67.7–90.8) 55.5% (48.2–62.0) 2019 Global GBD comparative-risk model
High body-mass index 34.9 million (22.3–48.6) 24.3% (15.7–33.2) 2019 Global GBD comparative-risk model
High fasting plasma glucose 28.9 million (19.8–41.5) 20.2% (13.8–29.1) 2019 Global GBD comparative-risk model
Ambient particulate-matter pollution 28.7 million (23.4–33.4) 20.1% (16.6–23.0) 2019 Global GBD comparative-risk model
Smoking 25.3 million (22.6–28.2) 17.6% (16.4–19.0) 2019 Global GBD comparative-risk model

6. Regional population surveillance: Latin America and Caribbean

Measure Estimate (95% CI) Study years Population Method Source
First-ever stroke incidence 119.0 (95.9–142.1) per 100,000 person-years studies 1997–2021 Latin America/Caribbean random-effects synthesis of 7 incidence studies; I²=98.1% Delfino 2023, PMID 36428236
Stroke prevalence 3,060 per 100,000 studies 1997–2021 Latin America/Caribbean random-effects synthesis of 5 prevalence studies; I²=98.8%; published abstract reports an internally inconsistent CI and it is not reproduced here PMID 36428236
One-month case fatality after first stroke 21.1% (18.6–23.7) studies 1997–2021 Latin America/Caribbean random-effects synthesis of 6 studies; I²=49.4% PMID 36428236

The incidence and prevalence heterogeneity is extreme. These pooled estimates describe the retrieved study set, not a stable region-wide rate.

7. Recurrence

Follow-up after first-ever stroke Pooled cumulative recurrence (95% CI) Population / study era Method Source
30 days 3.1% (1.7–4.4) 13 studies; 9,115 survivors systematic review and Weibull-model meta-analysis Mohan 2011, PMID 21454819
1 year 11.1% (9.0–13.3) same same PMID 21454819
5 years 26.4% (20.1–32.8) same same PMID 21454819
10 years 39.2% (27.2–51.2) same same PMID 21454819
5-year risk, temporal comparison declined across studies from 32.0% to 16.2% heterogeneous cohorts over calendar time meta-regression / study comparison PMID 21454819

Substantial heterogeneity occurred at every time point. The estimates predate much contemporary secondary prevention and should be used as historical pooled baselines, not a current individual prognosis.

8. Organized-care effect sizes

Outcome Effect (95% CI) Follow-up / population Method Source
Poor outcome: organized inpatient care vs alternative OR 0.77 (0.69–0.87) median 1 year; 29 trials, 5,902 participants Cochrane network meta-analysis Langhorne 2020, PMID 32324916
Death OR 0.76 (0.66–0.88) same same PMID 32324916
Death or dependency OR 0.75 (0.66–0.85) same same PMID 32324916
Additional survivors per 100 treated 2 same absolute-risk translation of pooled trial effect PMID 32324916
Additional people living independently per 100 6 same absolute-risk translation PMID 32324916
Additional people living at home per 100 6 same absolute-risk translation PMID 32324916

9. Acute-system performance and mobile stroke units

Metric Estimate Population / period Method Source
Target: Stroke median door-to-needle 77→67 min 71,169 alteplase-treated patients; US, pre-2010 vs 2010–2013 before–after national quality initiative Fonarow 2014, PMID 24756513
Treated within 60 min 26.5%→41.3% same before–after PMID 24756513
Adjusted in-hospital mortality OR 0.89 (95% CI 0.83–0.94) same risk-adjusted before–after PMID 24756513
Symptomatic ICH 5.68%→4.68%; adjusted OR 0.83 (0.76–0.91) same risk-adjusted before–after PMID 24756513
MSU onset-to-IV thrombolysis median −31 min (95% CI −39 to −23) 13 studies, 3,322 patients random-effects meta-analysis Turc 2022, PMID 35129584
MSU excellent 90-day outcome adjusted OR 1.64 (1.27–2.13) 5 studies, 3,228 patients random-effects meta-analysis PMID 35129584
MSU IVT within 60 min of onset OR 7.71 (4.17–14.25) 8 studies, 3,351 patients meta-analysis PMID 35129584
BEST-MSU onset-to-tPA 72 vs 108 min 1,047 tPA-eligible patients; US multicenter prospective alternating-week controlled trial Grotta 2021, PMID 34496173
BEST-MSU mRS 0–1 at 90 days 55.0% vs 44.4% same controlled comparison PMID 34496173
Direct-to-angiography door-to-groin −29.0 min (95% CI −43.6 to −14.3) 8 studies, 1,938 patients systematic review/meta-analysis Brehm 2022, PMID 35251309
Direct-to-angiography good outcome OR 1.38 (0.97–1.95) same meta-analysis; not statistically conclusive PMID 35251309

Before–after and workflow studies can be confounded by secular improvement and patient selection. The randomized/controlled and pooled designs are therefore identified rather than merged into one effect.

10. Common long-term consequences

Outcome Estimate (95% CI or range) Population / timing Method Source
Depression after stroke 31% (28–35) 61 studies, 25,488 adults; varied follow-up updated systematic review/meta-analysis Hackett 2014, PMID 25117911
Depression 1–5 years after stroke 25% (16–33) subset of same review pooled observational estimate PMID 25117911
Depression at 5 years 23% (14–31) subset of same review pooled observational estimate PMID 25117911
Fatigue after stroke 50% (43–57) 22 studies, 3,491 participants using Fatigue Severity Scale cutoff ≥4 random-effects meta-analysis; I²=94% Cumming 2016, PMID 27703065
Fatigue prevalence range 25%–85% same review observed study range PMID 27703065
Dysphagia, acute stroke 42% 42 studies, 26,366 participants random-effects meta-analysis Banda 2022, PMID 35562660
Pneumonia with vs without dysphagia OR 4.08 (2.13–7.79) acute stroke studies pooled association PMID 35562660
Mortality with vs without dysphagia OR 4.07 (2.17–7.63) acute stroke studies pooled association PMID 35562660
Dysphagia in Asian stroke cohorts 36.3% (33.3–39.3) 40 studies / 43 observations meta-analysis Meng 2020, PMID 32912517
Dementia before first stroke approximately 10% review of stroke-related dementia literature narrative synthesis Pendlebury 2009, PMID 19818568
New dementia soon after first stroke approximately 10% same narrative synthesis PMID 19818568
Dementia after recurrent stroke >33% same narrative synthesis PMID 19818568
MCI or dementia after lacunar stroke 24% 24 studies, 7,575 patients (2,860 lacunar) systematic review Makin 2013, PMID 23457225
Dementia prevalence after lacunar stroke 20% (9–33) 6 studies, 1,421 patients pooled proportion PMID 23457225
Early seizure after ischemic stroke 3.3% (2.8–3.9) 35 incidence studies systematic review/meta-analysis; I²=92.8% Wang 2017, PMID 28835405
Late seizure/epilepsy incidence 18 per 1,000 person-years (reported 95% CI 15–22 per 1,000) ischemic stroke cohorts systematic review/meta-analysis; I²=94.1% PMID 28835405

The estimates conflict where instruments, timing and populations differ. For dysphagia, 36.3% in Asian cohorts and 42% across a broader acute-stroke synthesis should remain separate; they are not competing measurements of one fixed prevalence.

11. Unmet need and caregiver burden

Measure Estimate Population / timing Method Source
Survivors with unmet needs median 67.20%; study range 15.08%–97.59% 32 quantitative studies; community-dwelling survivors systematic review Lin 2021, PMID 33879490
Unmet needs at 6 months 62.14% included survey studies pooled/reported review estimate PMID 33879490
Unmet needs at 2 years 81.37% included survey studies pooled/reported review estimate PMID 33879490
Number of unmet needs/person median across studies 2–8; observed scale range 0–31 community-dwelling survivors systematic review PMID 33879490
At least one long-term unmet need mean 73.8%; range 19.8%–91.7% 19 survey studies after hospital discharge systematic review Chen 2019, PMID 31110106
Unmet information need 3.1%–65.0% same range across heterogeneous surveys PMID 31110106
Unmet transport need 5.4%–53.0% same range across surveys PMID 31110106
Unmet home help/personal care 4.7%–39.3% same range across surveys PMID 31110106
Unmet therapy need 2.0%–35.7% same range across surveys PMID 31110106
Depressive symptoms in caregivers 40.2% (30.1–51.1) 12 studies, 1,756 caregivers random-effects meta-analysis Loh 2017, PMID 27742585
Anxiety symptoms in caregivers 21.4% (11.6–35.9) same random-effects meta-analysis PMID 27742585

Unmet-need instruments are not standardized; a broader questionnaire will usually yield a higher “any unmet need” estimate. These figures quantify survey responses, not service eligibility.

12. Conflicts and caveats to preserve

Conflict / caveat Correct interpretation
Absolute stroke counts rose while age-standardized rates fell demographic growth increased total service demand while age-specific risk improved globally (PMID 34487721)
Global subtype shares differ from many hospital series GBD is population-modeled; hospital cohorts reflect access, admission and local age structure
Recurrence estimates are high and old Mohan pooled heterogeneous historical cohorts; contemporary mechanism-specific prevention can alter risk (PMID 21454819)
Dysphagia prevalence is 36.3% or 42% different geographic scope, eligibility and assessment explain distinct pooled estimates (PMIDs: 32912517, 35562660)
Fatigue prevalence is 50% but ranges 25%–85% pooled value has I²=94%; instrument and sampling dominate precision (PMID 27703065)
Depression is “about one-third” 31% is a pooled observational frequency across varying timing and definitions, not an individual prediction (PMID 25117911)
Unmet need ranges approach 100% tools and breadth of domains vary; retain the range and instrument context (PMIDs: 33879490, 31110106)
Workflow improvement accompanies better outcome before–after designs cannot isolate the intervention from secular change (PMID 24756513)
OR is not risk ratio or absolute risk reduction translate only when baseline risk and model permit; do not subtract ORs from 1 as an absolute benefit
DALY attributable fractions overlap co-occurring risks mean fractions cannot be summed (PMID 34487721)

13. Source index

  1. GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990–2019. Lancet Neurol. 2021;20:795–820. PMID 34487721
  2. Palaniappan LP, et al. 2026 Heart Disease and Stroke Statistics: a report of US and global data from the American Heart Association. Circulation. 2026;153:e275–e906. PMID 41562125 — current compendium located; no numeric row was transcribed without checking its underlying chapter/table.
  3. Delfino C, et al. Stroke in Latin America: systematic review of incidence, prevalence, and case-fatality in 1997–2021. Int J Stroke. 2023;18:645–656. PMID 36428236
  4. Mohan KM, et al. Risk and cumulative risk of stroke recurrence: a systematic review and meta-analysis. Stroke. 2011;42:1489–1494. PMID 21454819
  5. Langhorne P, Ramachandra S; Stroke Unit Trialists' Collaboration. Organised inpatient (stroke unit) care for stroke: network meta-analysis. Cochrane Database Syst Rev. 2020;4:CD000197. PMID 32324916
  6. Fonarow GC, et al. Door-to-needle times for tPA administration and clinical outcomes before and after a quality improvement initiative. JAMA. 2014;311:1632–1640. PMID 24756513
  7. Turc G, et al. Comparison of mobile stroke unit with usual care: systematic review and meta-analysis. JAMA Neurol. 2022;79:281–290. PMID 35129584
  8. Grotta JC, et al. Prospective, multicenter, controlled trial of mobile stroke units. N Engl J Med. 2021;385:971–981. PMID 34496173
  9. Brehm A, et al. Direct to angiography suite approaches: systematic review and meta-analysis. Ther Adv Neurol Disord. 2022;15:17562864221078177. PMID 35251309
  10. Hackett ML, Pickles K. Part I: frequency of depression after stroke. Int J Stroke. 2014;9:1017–1025. PMID 25117911
  11. Cumming TB, et al. The prevalence of fatigue after stroke: systematic review and meta-analysis. Int J Stroke. 2016;11:968–977. PMID 27703065
  12. Banda KJ, et al. Prevalence of dysphagia and risk of pneumonia and mortality in acute stroke patients: a meta-analysis. BMC Geriatr. 2022;22:420. PMID 35562660
  13. Meng PP, et al. Occurrence rate of swallowing disorders after stroke in Asia: systematic review and meta-analysis. J Stroke Cerebrovasc Dis. 2020;29:105113. PMID 32912517
  14. Pendlebury ST. Stroke-related dementia: rates, risk factors and implications. Maturitas. 2009;64:165–171. PMID 19818568
  15. Makin SDJ, et al. Cognitive impairment after lacunar stroke: systematic review and meta-analysis. J Neurol Neurosurg Psychiatry. 2013;84:893–900. PMID 23457225
  16. Wang JZ, et al. Incidence and management of seizures after ischemic stroke: systematic review and meta-analysis. Neurology. 2017;89:1220–1228. PMID 28835405
  17. Lin BL, et al. Unmet care needs of community-dwelling stroke survivors: systematic review. BMJ Open. 2021;11:e045560. PMID 33879490
  18. Chen T, et al. Long-term unmet needs after stroke: systematic review of survey studies. BMJ Open. 2019;9:e028137. PMID 31110106
  19. Loh AZ, et al. Global prevalence of anxiety and depressive symptoms among caregivers of stroke survivors. J Am Med Dir Assoc. 2017;18:111–116. PMID 27742585