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Complete History of Global COVID-19 Reporting

CSPaC Global COVID-19 Historical data and current charts and graphs.

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2025-04-30 / 13:49:10Z
Global COVID-19 CasesDeathsCFR%RecoveriesActive
807,265,10125,967,1263.38740,246,28859,752,979

For a full listing of daily archives submit a request to the publishing partner.

255 Locales report 804,045,971 COVID-19 cases and 25,956,041 fatalities.

GMT 2025-04-30 13:49

Data reported should be in accordance with the applied case definitions and testing strategies in each locale as their governments report daily or from time to time. All data researched and published by The RINJ Foundation and partners in CSPaD.

©The RINJ Foundation 2020-2025-04-30 / 13:49:10Z Singapore-SK-HUK-77
RINJ is with Civil Society Solidarity Partners against COVID-19.

SARS2 Update 2025-04-30 13:49 GMT

Beta Technology Global Estimates
  • 1.58% Global estimated inferred average Infection Fatality Rate (IFR)
    (influenza is .1% or 6 per 100k (2019))
  • 70,054,056 Total deaths (cspad.org estimated actual) including errors, unexpected deaths with pneumonia indications with no history, and unreported likely-cause excess deaths such as people who never went to a hospital but had COVID-19 indications but never tested.

    • See The Lancet estimate of excess mortality from COVID-19 (Download PDF) in 191 countries/territories and 252 subnational units of select countries, from 1 January 2 0 2 0, to 31 December 2 0 2 1.

    USA (111,820,082)

    See The Lancet estimate of excess mortality from COVID-19 (Download PDF) in 191 countries/territories and 252 subnational units of select countries, from 1 January 2 0 2 0, to 31 December 2 0 2 1.

    The American Epicenter has 0.55 % of global 'active' cases (786,167 USA / 143,021,861 Global), people infected with COVID-19 now.

    Below: CSPAD estimated 2024-09-20 12:33 GMT COVID-19 data for India.

    EPICENTER-2: India (45,035,393)

    Reported*Cases*Deaths*CFR*Recovered
    India45,035,393533,5701.2%0
    *Reported by India but understated.

    Note: India's reported death sum and cured data are widely seen among epidemiologists and biostatisticians as unreliable. For example, 3,094,653 is CSPAD estimated sum of deaths while India reports 533,570, creating the largest discepency in the world. India might only report hospital tested cases. Sources among hundreds of nurses and other medical practitioners provide a picture that in summary concludes most cases never present in a hospital especially in northern provinces where health care is less available and utilization is low anyway because of poverty, hence most people die at home in India. This theory could explain discrepancies between reported data and algorithmic estimates.

    LocaleCasesDeathsActive
    India reported:45,035,393533,57044,501,823
    India estimates:249,045,7233,094,653245,951,070

    Data collected and reported by: Civil Society Solidarity Partners against Disease

    SARS-CoV-2 Variants

    SARS2 Variants of Concern (VOC)

    WHOPangoGISAIDNextstrain1st SampleDesignation
    AlphaB.1.1.7GRY (formerly GR/501Y.V1)20I/S:501Y.V1United Kingdom, Sep 202018 Dec 2020
    BetaB.1.351GH/501Y.V220H/S:501Y.V2South Africa, May 202018 Dec 2020
    GammaP.1GR/501Y.V320J/S:501Y.V3Brazil, Nov 202011 Jan 2021
    DeltaB.1.617.2G/452R.V321A/S:478KIndia, Oct 2020VOI: 4 Apr 2021VOC: 11 May 2021
    OmicronB.1.1.529GR/484A21KMultiple Nov-2021VUM: 24-Nov-2021
    VOC: 26-Nov-2021

    Notes on Omicron

    2025-04-30T18:07:27Z Currently circulating variants of concern (VOCs):

    WHO label Pango
    lineage    		 GISAID clade Nextstrain clade  Additional amino acid changes monitored Earliest documented
    samples    		 Date of designation
    Omicron*B.1.1.529GR/484A21K, 21L, 21M, 22A, 22B, 22C, 22D

    +S:R346K

    +S:L452X

    +S:F486V

    		Multiple countries, Nov-2021 VUM: 24-Nov-2021 VOC: 26-Nov-2021

    * Includes BA.1, BA.2, BA.3, BA.4, BA.5 and descendent lineages. It also includes BA.1/BA.2 circulating recombinant forms such as XE. WHO emphasizes that these descendant lineages should be monitored as distinct lineages by public health authorities and comparative assessments of their virus characteristics should be undertaken.

    Background

    biorxiv ABSTRACT on BQ.1.1 Study Shows BQ.1.1 demonstrated substantial neutralization escape

    "Omicron BA.5 has been the globally dominant SARS-CoV-2 variant and has demonstrated substantial neutralization escape compared with prior variants. Additional Omicron variants have recently emerged, including BA.4.6, BF.7, BA.2.75.2, and BQ.1.1, all of which have the Spike R346T mutation. In particular, BQ.1.1 has rapidly increased in frequency, and BA.5 has recently declined to less than half of viruses in the United States. Our data demonstrate that BA.2.75.2 and BQ.1.1 escape NAbs induced by infection and vaccination more effectively than BA.5. BQ.1.1 NAb titers were lower than BA.5 NAb titers by a factor of 7 in two cohorts of individuals who received the monovalent or bivalent mRNA vaccine boosters. These findings provide the immunologic context for the rapid increase in BQ.1.1 prevalence in regions where BA.5 is dominant and have implications for both vaccine immunity and natural immunity."

    A 4 November 2022 review by By Neha Mathur (Reviewed by Aimee Molin) in Medical Life Sciences looked at the report.

    "Omicron BQ.1.1 cases increased rapidly in the US, and Omicron BA.5 cases declined to less than half of what they were not long ago, when Omicron BA.5 was the dominant SARS-CoV-2 variant. Therefore, it is crucial to determine how BQ.1.1 is able to evade neutralizing antibodies (nAbs) induced by Coronavirus disease 2019 (COVID-19) vaccination and SARS-CoV-2 infection."

    About the study

    "In the present study, researchers assessed nAb titers in 16 individuals who were vaccinated and boosted with the monovalent mRNA BNT162b2 vaccine in 2021. Next, they evaluated nAb titers in 15 individuals who received the monovalent mRNA boosters in 2022. Additionally, 18 bivalent mRNA booster recipients, most of whom received three vaccine doses, although some had also received two or four COVID-19 vaccine doses."

    Study findings

    "Following the monovalent BNT162b2 boost, median nAb titers to WA1/2020, BA.5, BF.7, BA.2.75.2, and BQ.1.1 were 45, 695, 887, 595, 387, and 261, respectively. The authors noted that the median nAb titers against BQ.1.1 were much diminished than the median nAb titers against WA1/2020 and BA.5 by factors of 175 and 3, respectively."

    "Compared to the uninfected 2021 cohort, most were likely infected in these cohorts, although the documented rates for SARS-CoV-2 Omicron infections were as low as 33%. Also, WA1/2020 and Omicron nAb titers were higher in the two 2022 cohorts even before boosting. After boosting, their median NAb titers to WA1/2020, BA.5, BF.7, BA.2.75.2, and BQ.1.1 were 40,515, 3693, 2399, 883, and 508, respectively."

    Conclusions

    "The study results showed that compared to BA.5, both BA.2.75.2 and BQ.1.1 escaped nAbs-elicited by prior infection and vaccination more effectively. However, the effect was most pronounced for BQ.1.1, whose nAb titers were lower than BA.5 by a factor of seven across study cohorts."

    "These findings present an immunological explanation for the prompt surge in BQ.1.1 prevalence in regions where BA.5 was dominant in the US, which has implications for both vaccine and natural immunity. Also, it puts into perspective how the presence of the R346T mutation in multiple new Omicron subvariants is likely a consequence of convergent evolution."

    source: Medical Life Sciences review. of biorxiv BQ.1.1 Study

    The Omicron variant comprises several lineages including B.1.1.529, BA.2.12.1, BA.1, BA.2, BA.3, BA.4, BA.5 and BQ.1.1

    According to the World Health Organization, "Based on the currently available evidence, the overall risk related to Omicron remains very high. Omicron has a significant growth advantage over Delta, leading to rapid spread in the community with higher levels of incidence than previously seen in this pandemic. Despite a lower risk of severe disease and death following infection than previous SARS-CoV-2 variants, the very high levels of transmission nevertheless have resulted in significant increases in hospitalization, continue to pose overwhelming demands on health care systems in most countries, and may lead to significant morbidity, particularly in vulnerable populations.

    WHO Briefs:

    Enhancing response to Omicron SARS-CoV-2 variant

    Subvariants of Omicron, some with significantly different characteristics.

    Note: 15 June 2022- WHO warns of now spiking COVID-19 regional outbreaks of Omicron Subvariants

    Omicron BA.2.12.1, BA.4 and BA.5 favour infection of the lungs similar to Delta variant and may cause more severe illness.

    WHO label

    Lineage + additional mutations

    Country first detected (community)

    Spike mutations of interest

    Year and month first detected

    Impact on transmissibility

    Impact on immunity

    Impact on severity

    Transmission in EU/EEA
    Omicron BA.1 South Africa and Botswana (x) November 2021 Increased (v) (1, 2) Increased (v) (3-5) Reduced (v) (6-8) Community
    Omicron BA.2 South Africa (y) November 2021 Increased (v) (1, 9) Increased (v) (3) Reduced (v) (10, 11) Dominant
    Omicron BA.4 South Africa L452R, F486V, R493Q January 2022 Increased risk Increased (12, 13) Increased Community
    Omicron BA.5 South Africa L452R, F486V, R493Q February 2022 Increased Increased (12, 13) Increased Community

     

    Key

    x: A67V, △69-70, T95I, G142D, △143-145, N211I, △212, ins215EPE, G339D, S371L, S373P, S375F, K417N, N440K, G446S, S477N, T478K, E484A, Q493R, G496S, Q498R, N501Y, Y505H, T547K, D614G, H655Y, N679K, P681H, N764K, D796Y, N856K, Q954H, N969K, L981F

    y: G142D, N211I, ?212, V213G, G339D, S371F, S373P, S375F, T376A, D405N, R408S, K417N, N440K, S477N, T478K, E484A, Q493R, Q498R, N501Y, Y505H, D614G, H655Y, N679K, P681H, N764K, D796Y, Q954H, N969K

    SARS2 History: Variants of Interest (VOI)

    WHOPangoGISAIDNextstrain1st SampleDesignation
    EpsilonB.1.427/B.1.429GH/452R.V120C/S.452RUnited States of America, Mar 20205 Mar 2021
    ZetaP.2GR20B/S.484KBrazil, Apr 202017 Mar 2021
    ThetaP.3GR20B/S:265CPhilippines, Jan 202124 Mar 2021
    EtaB.1.525G/484K.V320A/S484Knumerous locales, Dec 202017 Mar 2021
    IotaB.1.526GH20C/S:484KUnited States of America, Nov 202024 Mar 2021
    KappaB.1.617.1G/452R.V321A/S:154KIndia Oct 20204 Apr 2021
    LambdaC.37GR/452Q.V121GPeru, Dec-202014-Jun-202
    MuB.1.621GH21HColombia, Jan-202130-Aug-2021
    AY. 4.2India, United Kingdom(VUI-21OCT-01)20 October 2021

    Designated Alerts for Monitoring:

    Pango lineagesGISAID cladeNextstrain cladeEarliest documented samplesDate of designation
    B.1.427 / B.1.429* (Epsilon)GH/452R.V121CUSA, Mar-2020VOI: 5-Mar-2021 Alert: 6-Jul-2021
    R.1GR-numerous locales, Jan-2021
    		07-Apr-2021
    B.1.466.2GH-Indonesia, Nov-202028-Apr-2021
    B.1.621 / B.1.621.1GH21HColombia, Jan-202126-May-2021
    B.1.1.318GR-numerous locales, Jan-202102-Jun-2021
    B.1.1.519GR20B/S.732Anumerous locales, Nov-202002-Jun-2021
    C.36.3 / C.36.3.1GR-numerous locales, Jan-202116-Jun-2021
    B.1.214.2G-numerous locales, Nov-202030-Jun-2021
    B.1.1.523GR-numerous locales, May-202014-July-2021
    B.1.619 / B.1.619.1G20A/S.126Anumerous locales, May-202014-July-2021
    B.1.620G-numerous locales, Nov 202014-July-2021

    *Former VOI Epsilon (B.1.427 / B.1.429)

    Variants are causing trouble.

    Once given a prolonged opportunity to occupy massive numbers of humans, the virus will discover vulnerabilities and mutate its quasi-offsprings to make SARSCoV-2 more fit for its own survival. The more fit it is for its own survival in the new species it is learning, humans, the more humans it infects and kills.

    Giving this virus access to more and more humans allows it to change.

    Only a few variations of SARSCoV-2 continue as viable. Millions of changes the virus makes will fail as errors and will cause invalidation of that variant. Most fail. The ones that don't can be more transmissable and more deadly. That's why it is important to deny it new hosts by getting vaccinated and following public health mitigation guidelines. There's nothing mysterious about this coronavirus. It has likely been around for over a million years. It is doing what it is expected to do and what otehrs have done. Humans are not.

    Studies say the (VOC) are indeed more transmissable and some are noticeably more deadly.

    "The 28-day risk of death for the B117 COVID-19 variant was 64% higher than for previously circulating strains in people older than 30 years, a UK study finds."

    "The study, led by University of Exeter researchers and published 10 March 20212, in BMJ, involved community-based testing and death data from 54,906 matched pairs of participants who tested positive for COVID-19 from Oct 1, 2020, to Jan 29, 2021."

    "Of the 109,812 total participants, 367 (0.3%) died. Of the 54,906 participants infected with B117, 227 (0.4%) died, compared with 141 (0.3%) infected with other strains."

    "The hazard ratio (HR) for death by 28 days after diagnosis was 1.64 (95% confidence interval [CI], 1.32 to 2.04) for patients infected with the B117 variant, compared with previously circulating SARS-CoV-2 strains."

    (Citing University of Minesota.)

    Avoiding any variant of the SARS-CoV-2 virus is done the same way.

    Wear an FFP N95 respirator mask all the time you are away from home. Wear it at home if you have an infected or quarantined person at home. Wash hands regularly before and after touching anything; keep frequently touched items cleaned (door knobs, rails, handles, etc.); keep the water closet clean; and maintain two or more meters distance from persons outside your household family.

    If you cannot obtain a supply of American N95 masks, here are the equivalent standards from other countries.

    FFP NIOSH N95 Alternative Respirator Certification Standards

    Source: OSHA (USA Occupational Safety and Health Administration)

    “Wear a respirator mask when going out, says nurse practitioner Deslauriers. “Essential workers should already know this but if not, it has been said, ‘wear a respirator mask’. In many parts of Asia, frontline workers are wearing a KN-95 with a procedure mask over top of that respirator and a full face-shield with the top end sealed to the forehead by a foam strip. That is a medical face shield. Anything else becomes a wind tunnel to direct all the ambient air past the wearer’s eyes,” she added, explaining that there is a lot of bogus PPE offered for sale.

    Summarizing the takeaway points from this interview:

    1. Regardless of what mutations of the virus there may be, avoiding infection of any variant is the goal and that is achieved by following good public health guidelines.
    2. Anything less than a respirator mask will not protect the wearer sufficiently.
    3. The video below is a short course on how to use and re-use FFP N-95 respirator masks.
    4. It is especially important to wear a respirator mask at home if a family member is ill with COVID-19 disease.

    A quick VIDEO COURSE: How to don and doff a re-used FFP respirator mask.

    “It is equally important to maintain nearly obsessive hand-hygiene; personal habits that exclude touching any part of the face; and safe practice for area hygiene. It is important for families that have a COVID-19 patient at home to learn proper isolation and sterilization,” says Deslauriers.

    "The United Kingdom (UK) has faced a rapid increase in COVID-19 case rates in the South-East, the East and the London area, which is associated with the emergence of a new SARS-CoV-2 variant, VOC 202012/01. As of 26 December 2020, more than 3 000 cases of this new variant, confirmed by genome sequencing, have been reported from the UK. An increasing proportion of cases in the South East, the East and the London area are due to this variant, but cases have also been identified in other parts of the UK. Although it was first reported in early December, the initial cases were retrospectively identified as having emerged in late September. Preliminary analyses indicate that the new variant has increased transmissibility compared to previously circulating variants, but no increase in infection severity has so far been identified. Since 26 December, a few VOC 202012/01 cases have also been reported in other EU/EEA countries (Belgium, Denmark, Finland, France, Germany, Iceland, Ireland, Italy, the Netherlands, Norway, Portugal, Spain and Sweden) and globally (Australia, Canada, Hong Kong SAR, India, Israel, Japan, Jordan, Lebanon, South Korea, Switzerland, Singapore)."

    "In addition to VOC 202012/01, South Africa has reported another SARS-CoV-2 variant, designated as 501.V2, which is also of potential concern. This variant was first observed in samples from October, and since then more than 300 cases with the 501.V2 variant have been confirmed by whole genome sequencing (WGS) in South Africa, where it is now the dominant form of the virus. Preliminary results indicate that this variant may have an increased transmissibility. However, like the VOC 202012/01, at this stage there is no evidence that 501.V2 is associated with higher severity of infection. On 22 December 2020, two geographically separate cases of this new variant 501.V2 were detected in the UK. Both are contacts of symptomatic individuals returning from travel to South Africa. On 28 December 2020, one additional case of this new variant was detected in Finland in a returning traveller from South Africa."

    Citing: EU Document: COVID-19 risk related to spread of new SARS CoV-2 variants

    “COVID-19 is very real. It is a pathogenic single-stranded RNA virus (+ssRNA) and it kills patients at an infection fatality rate some four to ten times greater than influenza. That varies by a community’s typical vulnerabilities (for example, in the USA the prevalent comorbidities are obesity and diabetes) may increase as re-infections become more common in 2021 and the year after.

    Don’t give SARS-CoV-2 another host.

    Canada

    Population: 41,572,044 adjusted for estimated real COVID-19 deaths

    CanadaCases DeathsCuredActive
    Reported:4,964,63060,362 1.2% CFR4,878,11226,156
    Estimate:27,454,40478,470 *0.29% IFR26,975,959144,643

    *Inferred IFR is an estimate only. The actual COVID-19 IFR may not be accurately calculated for the entire human race until long after the pandemic has ended.

    Below: Extensive Estimates using data from multiple sources.

    Beta experimental estimates for Canada. Reported + unreported mild + asymptomatic COVID-19 infections.

    The total actual number of infections in Canada including all the untested, unreported, asymptomatic infections is likely greater than 27,454,404 (66.04% of the population) including mild and asymptomatic cases. That would mean the estimated inferred average Infection Fatality Rate: (IFR) is likely around 0.29%

    Canadian COVID-19 deaths to 2024-09-20 are estimated to be 79,618 Using estimated IFR of 0.29%. Global average 1.58% Global estimated inferred average Infection Fatality Rate (IFR

    79,618 (0.29% IFR) is the CSPaC estimated number of Canadian COVID-19 deaths (based on the inferred IFR) including those deaths unreported as COVID-19). The IHME estimates excess deaths in Canada to reach much higher than CSPaC estimates.

    See The Lancet estimate of excess mortality from COVID-19 (Download PDF) in 191 countries/territories and 252 subnational units of select countries, from 1 January 2 0 2 0, to 31 December 2 0 2 1.

    78470 Is the CSPaC estimated number of Canadian COVID-19 deaths based on a modified universal algorithm which factors more sophisticated public health infrastructure and also fewer available urgent care beds and facilities which is a problem in much of Canada in an emergency measures context.

    The closeness of the two numbers derived from unique data and methods suggests their high probability. The blended data of three projections from three different biostatistician labs also confirms the estimates +/- .01%.

    It is safe to say that Canadians have endured the grief of losing 78470 family members. Every number has a face. May their memory be forever a blessing to their families and friends.

    Canada's advanced public health standards.

    Canada and the USA have Infection Fatality Rates close to global averages but since vaccine booster-rates have dropped, CFR in both countrioes is climbing slightly above global averages. (influenza has an IFR of .1% or 6 per 100k (2019)).

    Ontario, Canada Reports no longer updated. See Archives to 5 March 2023

    Philippines

    Philippines

    Here are the reported and estimated Philippines data.

    PhilippinesCasesDeathsActive
    Philippines reported:4,140,38366,8646,138
    Philippines estimates:22,896,318152,12233,943

    Read:Human right to claim your free vaccination in the Philippines

    Philippines COVID-19 Incipient Danger Zone

    Also: Philippines 50M COVID-dead is case for Vaccination

    See The Lancet estimate of excess mortality from COVID-19 (Download PDF) in 191 countries/territories and 252 subnational units of select countries, from 1 January 2 0 2 0, to 31 December 2 0 2 1.

    Data collected and reported by: Civil Society Solidarity Partners against Disease

    United States of America

    United States COVID-19 Cumulative and Active Cases

    Current Reported USA Data

    U.S.A. (pop. 335,486,244)

    • CoV19 Reported Cases: 111,820,082
    • Current Reported Deaths:(CFR: 1.11%): 1,212,123 cspad.org estimated actual: 1,516,369
    • Cured: 109,814,428
    • Beta experimental: All time reported + unreported asymptomatic people maybe not sick, not immune, but possibly infectious and including the many people who have had several mild or asymptomatic infections: 606,547,714.43
    • 180.80% of the USA may have been infected or even reinfected including reported + estimated unreported mild and estimated asymptomatic (606,547,714.43) human infections, some of which may not have been ill in their first course of the disease, but could have spread the disease.
    • 1.11% is USA current Case Fatality Rate (CFR) &
    • 0.25% is estimated inferred average Infection Fatality Rate (IFR)
    • 1,516,369 estimated total COVID-19 deaths including unreported likely-cause excess deaths. According to projections of IHME, IHME calculation of excess deaths is slightly higher than what CSPaD is estimating.
    Rest of the world excluding USA.
    • CoV19 Cases: 692,225,889
    • Deaths: 24,743,918 | 3.38%
    • Cured: 525,253,641
    • Reported + estimated all unreported 4,446,374,219

    Note: Total statistics for the United States do not include these offshore territories. The US Military is included as if it is an offshore territory, not reported as continental USA data but as USA overall totals and included in world totals. FPMag evaluates these separately for many reasons.

    TerritoryCasesDeathsRecovered
    Continental US109,683,1311,212,123 | 1.11%107,745,468
    +US Military740,942690 | 0.1%733,533
    +Guam61,139420 | 0.7%60,681
    +Puerto Rico 1,286,5286,081 | 0.47%1,002,205
    +US Virgin Islands25,389132 | 0.5%25,114
    +Northern Mariana Islands14,59441 | 0.3%0
    +American Samoa8,35934 | 0.4%0
    Totals111,820,0821,219,487109,814,428

    The American Epicenter including ALL Territories has 0.55 % of global 'active' cases (786,167 USA (incl territories) / 143,021,861 Global), people infected with COVID-19 now.

    Abundant proof that vaccines are working, an observation derived from unrelated data analysis.

    As the epicenter we look at continental USA together with US territories and without. The significant decline in Case Fatality Rate (CFR) in the continental United States particularly, during 2 0 2 1, since vaccines became available, is believed to be due to vaccination rates and is abundant proof that the vaccines are working.

    In order to avoid letting countries that refuse to report the sum of case recoveries, thus skewing global calculations, Burundi, Belarus, Belgium, Bosnia and Herzegovina, Britain, most provinces of Canada, Ecuador, FaeroeIslands, Falklands, Finland, France, French Polynesia, Hong Kong, Iceland, Mongolia, Laos, Netherlands, Norway, Peru, Portugal, Puerto Rico, Ukraine, South Korea, Tunisia, Sierra Leone, Sudan, Spain and Sweden 'recoveries' are estimated based on the current reported global recoveries as a percentage of all cases. (([reported recoveries]) divide (804,045,971 [Global Reported Sum of All Cases] less 39,056,381 [France Sum of Cases] less 1,076,087 [Ecuador Sum of Cases] less 13,980,340 [Spain Sum of Cases] less 8,635,896 [Netherlands Sum of Cases] less 2,754,129 [Sweden Sum of Cases] less 4,572,667 [Peru Sum of Cases])) = 77.9% a coefficient which is then adjusted according to the number of cases in the past 30 days and the new coefficient is applied to the sum of each of these nation's cumulative cases to estimate the missing recoveries data. In the case of France some additional hospital-sourced recovery data is factored.

    Reported:
    All USASum of CasesDeathsRecoveredActive
    Continental USA109,683,1311,212,123107,745,468725,540
    USA+territories111,820,0821,219,487109,814,428786,167

    See The Lancet estimate of excess mortality from COVID-19 (Download PDF) in 191 countries/territories and 252 subnational units of select countries, from 1 January 2 0 2 0, to 31 December 2 0 2 1.

    See also IHME Estimates for America.

    Global Summary Statistics

    Index ~ Current ~ Green List ~ YellowList ~ WatchList ~ Ships ~ History ~ Children

    All Regions Cumulative Cases | Deaths | Recoveries | Active | CoV Home

    Nations / Regions / TerritoryCumulativeFatalitiesRecoveredActive Cases
    United States109,683,1311,212,1231.11%107,745,468786,167
    China99,354,727188,7600.2%98,290,850875,117
    India45,035,393533,5701.2%35,082,5719,419,252
    France39,056,381163,9210.4%33,187,4075,705,053
    Germany38,828,995183,0270.5%38,240,600405,368
    Brazil38,743,918711,3801.8%36,249,1611,783,377
    South Korea34,571,87335,9340.1%27,203,5247,332,415
    Japan33,803,57274,6940.2%26,332,9837,395,895
    Italy26,723,249196,4870.7%26,361,218165,544
    United Kingdom24,917,163232,1120.9%19,410,4705,274,581
    Russia24,124,215402,7561.7%23,545,818175,641
    Turkey17,232,066102,1740.6%13,423,7793,706,113
    Spain13,980,340121,8520.9%10,782,8563,075,632
    Australia11,861,16125,2360.2%11,820,01415,911
    Vietnam11,625,19543,2060.4%10,640,971941,018
    Taiwan10,241,52319,0050.2%10,222,5180
    Argentina10,131,586130,8571.3%9,997,2583,471
    Netherlands8,635,89622,9920.3%6,727,3631,885,541
    Mexico7,709,747335,0114.3%6,899,865474,871
    Iran7,627,186146,8111.9%5,941,5781,538,797
    Indonesia6,829,221162,0632.4%6,647,10420,054
    Poland6,662,019120,7061.8%5,189,7131,351,600
    Colombia6,400,173143,2002.2%6,212,15244,821
    Greece6,101,37937,8690.6%4,752,9741,310,536
    Austria6,082,44422,5420.4%6,054,9344,968
    Portugal5,643,11928,1280.5%4,395,9901,219,001
    Ukraine5,557,995112,4182.0%4,329,6781,115,899
    Chile5,399,99264,4971.2%5,252,45083,045
    Malaysia5,278,40637,3480.7%5,233,2687,790
    Canada4,964,63060,3621.2%4,878,11226,156
    Belgium4,872,82934,3760.7%3,795,9341,042,519
    Israel4,841,77212,7070.3%4,798,47330,592
    DPRK4,772,813740.0%4,772,7390
    Thailand4,770,14934,5860.7%4,692,63642,927
    Czech Republic4,759,28843,5170.9%4,715,206565
    Peru4,572,667222,1614.9%3,526,839823,667
    Switzerland4,453,19114,4520.3%4,438,309430
    Philippines4,140,38366,8641.6%4,067,3816,138
    South Africa4,076,463102,5952.5%3,912,50661,362
    Romania3,529,73568,9292.0%3,460,149657
    Denmark3,435,0189,6670.3%3,404,04221,309
    Singapore3,006,1552,0240.1%3,004,1310
    Hong Kong2,937,60914,9240.5%2,288,397634,288
    Sweden2,754,12927,4071.0%2,145,466581,256
    New Zealand2,621,1115,6970.2%2,613,7911,623
    Serbia2,615,05418,0570.7%2,596,608389
    Iraq2,465,54525,3751.0%2,439,497673
    Hungary2,230,31249,0492.2%2,152,15529,108
    Bangladesh2,051,34829,4991.4%1,598,000423,849
    Slovakia1,877,68721,2251.1%1,856,38181
    Georgia1,862,66917,1320.9%1,451,019394,518
    Jordan1,746,99714,1220.8%1,731,0071,868
    Ireland1,735,1499,5720.6%1,724,921656
    Pakistan1,581,93630,6641.9%1,538,68912,583
    Finland1,516,11711,9580.8%1,181,055323,104
    Norway1,507,1966,6380.4%1,174,106326,452
    Kazakhstan1,503,68719,0721.3%1,383,020101,595
    Lithuania1,397,8069,8970.7%1,387,478431
    Slovenia1,356,5467,1000.5%1,349,42422
    Bulgaria1,339,85138,7482.9%1,292,9448,159
    Croatia1,316,95818,752,0001,423.9%1,258,4320
    Guatemala1,291,29320,2891.6%1,269,8911,113
    Puerto Rico1,286,5286,0810.5%1,002,205278,242
    Morocco1,279,02416,3041.3%996,360266,360
    Lebanon1,243,83810,9520.9%1,087,587145,299
    Costa Rica1,238,8839,4280.8%965,090264,365
    Bolivia1,212,14722,4071.8%1,177,14512,595
    Tunisia1,153,36129,4232.6%898,468225,470
    Cuba1,115,2518,5300.8%1,106,66061
    Ecuador1,076,08736,0483.3%838,272201,767
    United Arab Emirates1,067,0302,3490.2%831,216233,465
    Panama1,059,8938,7270.8%1,051,10264
    Uruguay1,041,1117,6640.7%1,030,9442,503
    Mongolia1,011,5172,2840.2%787,972221,261
    Nepal1,003,45012,0311.2%991,32297
    Belarus994,0377,1180.7%774,355212,564
    Latvia982,5056,7150.7%971,4064,384
    Saudi Arabia841,4699,6461.1%655,504176,319
    Paraguay837,60220,1552.4%652,492164,955
    Azerbaijan835,75710,4001.2%824,0891,268
    Bahrain729,5491,5740.2%727,91560
    Palestine703,2285,7080.8%615,44582,075
    Republic of Cyprus690,5471,3670.2%679,7459,435
    Dominican Republic675,8904,3840.6%671,316190
    Sri Lanka672,75416,8972.5%655,8525
    Kuwait667,1932,5700.4%519,743144,880
    Myanmar641,95119,4953.0%620,1592,297
    Moldova635,45912,2331.9%495,023128,203
    Estonia628,0703,0010.5%489,267135,802
    Venezuela552,6955,8561.1%546,537302
    Egypt516,02324,6134.8%442,18249,228
    Qatar514,5246900.1%513,687147
    Libya507,2746,4371.3%500,8352
    Ethiopia501,1677,5741.5%488,1715,422
    Réunion494,5959210.2%385,290108,384
    Honduras474,59011,1652.4%369,70693,719
    Armenia452,2738,7771.9%352,32191,175
    Bosnia/Herzegovina403,66616,3924.1%312,89174,383
    Oman399,4494,6281.2%311,17183,650
    Luxembourg391,2811,2320.3%304,80885,241
    North Macedonia350,5799,9772.8%337,0683,534
    Zambia349,5894,0691.2%342,4163,104
    Kenya344,1305,6891.7%337,3091,132
    Brunei344,0202250.1%243,601100,194
    Albania335,0473,6051.1%332,2330
    Botswana330,6962,8010.8%329,0490
    Montenegro296,5422,8461.0%291,7941,902
    Kosovo274,2793,2121.2%213,66357,404
    Algeria272,1396,8812.5%270,0610
    Nigeria267,1883,1551.2%259,9534,080
    Zimbabwe266,3595,7402.2%258,8881,731
    Uzbekistan253,6621,6370.6%241,48610,539
    Afghanistan235,2147,9983.4%221,0806,136
    Mozambique233,7722,2501.0%228,8052,717
    Martinique230,3541,1020.5%179,44649,806
    Laos218,9707580.3%172,30145,911
    Iceland209,9152290.1%163,52446,162
    Kyrgyzstan206,8972,9911.4%196,4067,500
    Guadeloupe203,2351,0210.5%158,32043,894
    El Salvador201,8654,2302.1%179,41018,225
    Trinidad and Tobago191,4964,3902.3%187,07828
    Maldives186,6943160.2%163,68722,691
    Namibia172,3994,1062.4%167,0991,194
    Uganda172,1493,6322.1%100,43168,086
    Ghana171,9071,4620.9%170,42520
    Donetsk PR171,51910,1865.9%161,29538
    Jamaica156,8693,7562.4%122,20130,912
    Cambodia139,1173,0562.2%136,04417
    Transnistria138,9542,3471.7%136,58324
    Rwanda133,5181,4681.1%132,03911
    Cameroon125,3791,9741.6%123,280125
    Malta121,4208850.7%120,149386
    Barbados110,6156480.6%108,6471,320
    Angola107,4811,9371.8%106,3190
    Northern Cyprus103,0342410.2%100,2932,500
    Channel Islands101,7172280.2%101,321168
    Congo DR100,5661,4701.5%84,48914,607
    French Guiana98,0414200.4%11,25486,367
    Malawi89,5352,6863.0%69,74817,101
    Senegal89,0531,9712.2%87,02458
    Ivory Coast88,4088350.9%87,49776
    Suriname82,5881,4081.7%64,33616,844
    New Caledonia80,0643140.4%62,37017,380
    French Polynesia79,3016500.8%61,77516,876
    Eswatini75,1911,4271.9%73,116648
    Guyana74,1371,3001.8%72,013824
    Belize71,4146881.0%55,63215,094
    Fiji69,1178851.3%67,2261,006
    Madagascar68,4931,4262.1%66,862205
    Jersey66,3911610.2%66,17060
    Cabo Verde64,4774170.6%63,755305
    Sudan63,9935,0467.9%49,8519,096
    Mauritania63,9729971.6%62,471504
    Bhutan62,697210.0%61,5641,112
    Guam61,1394200.7%60,68138
    Canada60,362%4,878,112
    Syria57,7433,1655.5%54,5780
    Burundi54,721380.1%42,62812,055
    Abkhazia53,6116831.3%52,9235
    Seychelles51,8311720.3%51,048611
    Gabon49,0513070.6%48,67470
    Andorra48,0151650.3%37,40410,446
    Papua New Guinea46,8646701.4%46,16826
    Curaçao45,9862950.6%44,720971
    Aruba44,2242920.7%42,4381,494
    Tanzania43,2238462.0%33,6718,706
    Mauritius43,0251,0512.4%41,278696
    Mayotte42,0271880.4%32,7399,100
    North Ossetia-Alania40,1861,9284.8%35,4602,798
    Togo39,5722900.7%39,2811
    Bahamas39,1278492.2%38,3660
    Guinea WA38,5724681.2%37,757347
    Isle of Man38,0081160.3%29,6088,284
    Lesotho36,1387232.0%25,9809,435
    Guernsey35,326670.2%34,991268
    Haiti34,6678602.5%33,73473
    Faeroe Islands34,658280.1%26,9997,631
    Mali33,1647432.2%32,33289
    Luhansk PR32,6013,48310.7%29,10117
    Cayman Islands31,472370.1%8,55322,882
    Saint Lucia30,2154101.4%29,8050
    Benin28,0361630.6%27,84726
    Somalia27,3341,3615.0%13,18212,791
    Micronesia FS26,547650.2%20,6805,802
    San Marino26,1851280.5%26,01146
    Solomon Islands25,9541990.8%20,2185,537
    US Virgin Islands25,3891320.5%25,114143
    Congo Brazzaville25,3753861.5%24,006983
    Timor-Leste23,4601380.6%23,102220
    Burkina Faso22,1224001.8%21,596126
    Liechtenstein21,575940.4%16,8074,674
    Gibraltar20,5501130.5%16,0084,429
    Grenada19,6932381.2%19,35897
    Bermuda18,8601650.9%18,68510
    South Sudan18,8201470.8%18,115558
    Nicaragua18,4912251.2%4,22514,041
    Tajikistan17,7861250.7%17,264397
    Equatorial Guinea17,2291831.1%16,907139
    Monaco17,181670.4%13,3843,730
    Samoa17,057310.2%1,69515,331
    Tonga16,958130.1%15,6381,307
    Marshall Islands16,178170.1%16,12140
    Dominica16,047740.5%15,9649
    Djibouti15,6901891.2%15,42774
    Central African Republic15,4661130.7%15,200153
    Northern Mariana Islands14,594410.3%11,3693,184
    South Ossetia14,2571531.1%14,09014
    Gambia12,6263722.9%12,18965
    Saint Martin12,324630.5%9,6002,661
    Vanuatu12,019140.1%11,97629
    Greenland11,971210.2%2,7619,189
    Yemen11,9452,15918.1%9,124662
    Caribbean Netherlands11,922410.3%10,4761,405
    Sint Maarten11,051920.8%10,90554
    Eritrea10,1891031.0%10,0860
    Niger9,9313123.1%8,890729
    St Vincent & The Grenadines9,6741241.3%9,49357
    Guinea-Bissau9,6141771.8%8,929508
    Comoros9,1091611.8%8,9399
    Antigua and Barbuda9,1061461.6%8,9546
    Bonaire8,810300.3%8,71961
    Somaliland8,3815887.0%7,086707
    American Samoa8,359340.4%6,5121,813
    Liberia8,0902953.6%7,78312
    Sierra Leone7,7941261.6%6,0721,596
    Chad7,7021942.5%4,8742,634
    British Virgin Islands7,420640.9%6,739617
    Cook Islands7,32620.0%7,30222
    Sao Tome and Principe6,778801.2%6,68513
    Turks and Caicos6,754400.6%6,7095
    Saint Kitts and Nevis6,607480.7%6,5590
    Palau6,290100.2%6,2764
    Nauru5,39310.0%5,34745
    Kiribati5,085240.5%2,7032,358
    Anguilla3,904120.3%3,041851
    Wallis and Futuna3,76090.2%3,438313
    Macao3,5141233.5%3,4870
    Saint Pierre Miquelon3,45220.1%2,4491,001
    Artsakh3,008311.0%2,645332
    Tuvalu2,94310.0%2,293649
    Falkland Islands1,9300_1,489441
    Sahrawi Arab DR1,907794.1%1,365463
    St. Barth1,60360.4%1,52869
    Montserrat1,40380.6%1,37619
    Macedonia1,386614.4%500825
    Niue1,0590_1,0563
    Summer Olympics 208650_8650
    Tokelau800_6218
    Antarctica580_580
    Vatican City290_290
    Saba110_110
    St Helena Ascension & Tristan110_110
    British Indian Ocean Terrritory50_23
    Pitcairn Islands40_31
    Guantanamo Bay20_20
    Sint Eustatius20_20

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