Sex Age Death

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Provisional COVID-19 Deaths by Sex and Age
NCHS
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Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by sex, age group, and jurisdiction of occurrence.
Data Provided by National Center for Health Statistics
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Data Provided by
National Center for Health Statistics
National Center for Health Statistics
National Center for Health Statistics
Department of Health and Human Services (009:00)
Number of deaths reported in this table are the total number of deaths received and coded as of the date of analysis, and do not represent all deaths that occurred in that period. Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more. This data file includes the following age groups in addition to the age groups that are routinely included: 0-17, 18-29, 30-49, and 50-64. The new age groups are consistent with categories used across CDC COVID-19 surveillance pages. When analyzing the file, the user should make sure to select only the desired age groups. Summing across all age categories provided will result in double counting deaths from certain age groups.
Indicator of whether data measured by Month, by Year, or Total
Deaths involving COVID-19 (ICD-code U07.1)
Pneumonia Deaths (ICD-10 codes J12.0-J18.9)
Deaths with Pneumonia and COVID-19 (ICD-10 codes J12.0-J18.9 and U07.1)
API Field Name
pneumonia_and_covid_19_deaths
Influenza Deaths (ICD-10 codes J09-J11)
Pneumonia, Influenza, or COVID-19 Deaths
Deaths with Pneumonia, Influenza, or COVID-19 (ICD-10 codes U07.1 or J09-J18.9)
API Field Name
pneumonia_influenza_or_covid
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Subject: 1 selected item: 18544745 - PubMed
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Affiliation
1 The Veterans Affairs Outcomes Group (111B), Department of Veterans Affairs Medical Center, White River Junction, VT 05009, USA. lisa.schwartz@dartmouth.edu
Steven Woloshin et al. J Natl Cancer Inst. 2008.
Affiliation
1 The Veterans Affairs Outcomes Group (111B), Department of Veterans Affairs Medical Center, White River Junction, VT 05009, USA. lisa.schwartz@dartmouth.edu
Erratum in
J Natl Cancer Inst. 2008 Aug 20;100(16):1133
Background: To make sense of the disease risks they face, people need basic facts about the magnitude of a particular risk and how one risk compares with other risks. Unfortunately, this fundamental information is not readily available to patients or physicians. We created simple one-page charts that present the 10-year chance of dying from various causes according to age, sex, and smoking status.
Methods: We used the National Center for Health Statistics Multiple Cause of Death Public Use File for 2004 and data from the 2004 US Census to calculate age- and sex-specific death rates for various causes of death. We then combined data on smoking prevalence (from the National Health Interview Survey) and the relative risks of death from various causes for smokers vs never smokers (from the American Cancer Society's Cancer Prevention Study-II) to determine age-, sex-, and smoking-specific death rates. Finally, we accumulated these risks for various starting ages in a series of 10-year life tables. The charts present the 10-year risks of dying from heart disease; stroke; lung, colon, breast, cervical, ovarian, and prostate cancer; pneumonia; influenza; AIDS; chronic obstructive pulmonary disease; accidents; and all causes.
Results: At all ages, the 10-year risk of death from all causes combined is higher for men than women. The effect of smoking on the chance of dying is similar to the effect of adding 5 to 10 years of age: for example, a 55-year-old man who smokes has about the same 10-year risk of death from all causes as a 65-year-old man who never smoked (ie, 178 vs 176 of 1000 men, respectively). For men who never smoked, heart disease death represents the single largest cause of death from age 50 on and the chance of dying from heart disease exceeds the chances of dying from lung, colon, and prostate cancers combined at every age. For men who currently smoke, the chance of dying from lung cancer is of the same order of magnitude as the chance dying from heart disease and after age 50 it is about 10 times greater than the chance of dying from prostate or colon cancer. For women who have never smoked, the magnitudes of the 10-year risks of death from breast cancer and heart disease are similar until age 60; from this age on, heart disease represents the single largest cause of death. For women who currently smoke, the chance of dying from heart disease or lung cancer exceeds the chance of dying from breast cancer from age 40 on (and does so by at least a factor of 5 after age 55).
Conclusion: The availability of simple charts with consistent data presentations of important causes of death may facilitate discussion about disease risk between physicians and their patients and help highlight the dangers of smoking.
Data sources and steps used to create the risk charts.
Data sources and steps used to create the risk charts.
Risk chart for men who currently or have never smoked. The chart indicates…
Risk chart for men who currently or have never smoked. The chart indicates the number of men—current smokers (bold type) and never smokers—per 1000 who will die from various diseases and from all causes combined during the next 10 years, beginning at the indicated age. Shaded area indicates age group and disease combinations with less than 1 death per 1000. COPD = chronic obstructive pulmonary disease.
Risk chart for men who used to smoke. The chart indicates the number…
Risk chart for men who used to smoke. The chart indicates the number of male former smokers per 1000 who will die from various diseases and from all causes combined during the next 10 years, beginning at the indicated age. Shaded area indicates age group and disease combinations with less than 1 death per 1000. COPD = chronic obstructive pulmonary disease.
Risk chart for women who currently or have never smoked. The chart indicates…
Risk chart for women who currently or have never smoked. The chart indicates the number of women—current smokers (bold type) and never smokers—per 1000 who will die from various diseases and from all causes combined during the next 10 years, beginning at the indicated age. Shaded area indicates age group and disease combinations with less than 1 death per 1000. COPD = chronic obstructive pulmonary disease.
Risk chart for women who used to smoke. The chart indicates the number…
Risk chart for women who used to smoke. The chart indicates the number of female former smokers per 1000 who will die from various diseases and from all causes combined during the next 10 years, beginning at the indicated age. Shaded area indicates age group and disease combinations with less than 1 death per 1000. COPD = chronic obstructive pulmonary disease.
Thun MJ, Hannan LM, Stefanek M. Thun MJ, et al. J Natl Cancer Inst. 2008 Jun 18;100(12):830-1. doi: 10.1093/jnci/djn179. Epub 2008 Jun 10. J Natl Cancer Inst. 2008. PMID: 18544738 No abstract available.
Thun MJ, Carter BD, Feskanich D, Freedman ND, Prentice R, Lopez AD, Hartge P, Gapstur SM. Thun MJ, et al. N Engl J Med. 2013 Jan 24;368(4):351-64. doi: 10.1056/NEJMsa1211127. N Engl J Med. 2013. PMID: 23343064 Free PMC article.
Singh RB, Singh S, Chattopadhya P, Singh K, Singhz V, Kulshrestha SK, Tomar RS, Kumar R, Singh G, Mechirova V, Pella D. Singh RB, et al. Int J Chron Obstruct Pulmon Dis. 2007;2(2):177-85. Int J Chron Obstruct Pulmon Dis. 2007. PMID: 18044690 Free PMC article.
Kenfield SA, Wei EK, Rosner BA, Glynn RJ, Stampfer MJ, Colditz GA. Kenfield SA, et al. Tob Control. 2010 Jun;19(3):248-54. doi: 10.1136/tc.2009.032839. Tob Control. 2010. PMID: 20501499 Free PMC article.
Steenland K. Steenland K. JAMA. 1992 Jan 1;267(1):94-9. JAMA. 1992. PMID: 1727204 Review.
Boyle P. Boyle P. Lung Cancer. 1997 May;17(1):1-60. doi: 10.1016/s0169-5002(97)00648-x. Lung Cancer. 1997. PMID: 9194026 Review.
Zhang JJ, Rothberg MB, Misra-Hebert AD, Gupta NM, Taksler GB. Zhang JJ, et al. JAMA Netw Open. 2020 Jul 1;3(7):e2011677. doi: 10.1001/jamanetworkopen.2020.11677. JAMA Netw Open. 2020. PMID: 32716515 Free PMC article.
Young KA, Regan EA, Han MK, Lutz SM, Ragland M, Castaldi PJ, Washko GR, Cho MH, Strand M, Curran-Everett D, Beaty TH, Bowler RP, Wan ES, Lynch DA, Make BJ, Silverman EK, Crapo JD, Hokanson JE, Kinney GL; COPDGene® Investigators. Young KA, et al. Chronic Obstr Pulm Dis. 2019 Nov;6(5):400-413. doi: 10.15326/jcopdf.6.5.2019.0150. Chronic Obstr Pulm Dis. 2019. PMID: 31710795 Free PMC article.
Kostev K, Jacob L. Kostev K, et al. Eur J Clin Pharmacol. 2019 May;75(5):717-722. doi: 10.1007/s00228-019-02627-y. Epub 2019 Jan 21. Eur J Clin Pharmacol. 2019. PMID: 30666350
Johnson L, Ma Y, Fisher SL, Ramsey AT, Chen LS, Hartz SM, Culverhouse RC, Grucza RA, Saccone NL, Baker TB, Bierut LJ. Johnson L, et al. Nicotine Tob Res. 2019 Sep 19;21(10):1331-1338. doi: 10.1093/ntr/nty211. Nicotine Tob Res. 2019. PMID: 30304476 Free PMC article.
Bruder C, Bulliard JL, Germann S, Konzelmann I, Bochud M, Leyvraz M, Chiolero A. Bruder C, et al. Prev Med Rep. 2018 Jun 18;11:125-130. doi: 10.1016/j.pmedr.2018.06.010. eCollection 2018 Sep. Prev Med Rep. 2018. PMID: 29942733 Free PMC article.

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