{"id":541208,"name":"p_proj_all_ages","unit":"%","description":"The reported number of weekly deaths from all causes for all ages in 2023.","createdAt":"2023-01-30T22:11:33.000Z","updatedAt":"2026-05-11T19:04:06.000Z","coverage":"","timespan":"","datasetId":5874,"shortUnit":"%","columnOrder":0,"shortName":"p_proj_all_ages","catalogPath":"grapher/excess_mortality/latest/excess_mortality/excess_mortality#p_proj_all_ages","descriptionShort":"P-scores using projected baseline for all ages","type":"float","grapherConfigIdETL":"0191c16a-9168-72bc-a90e-e0fed6ba1da7","dataChecksum":"7193240192919732326","metadataChecksum":"2820511709017304876","datasetName":"Excess Mortality (various sources)","datasetVersion":"latest","nonRedistributable":false,"display":{"name":"Excess mortality P-scores, projected baseline, all ages.","unit":"%","zeroDay":"2020-01-05","shortUnit":"%","tolerance":30,"yearIsDay":true,"includeInTable":true,"numDecimalPlaces":0},"schemaVersion":2,"presentation":{},"descriptionKey":["Excess deaths is estimated as _Excess deaths = Number of reported deaths - Number of expected deaths_. Excess mortality goes beyond confirmed COVID-19 fatalities by capturing all deaths above a projected baseline, including indirect deaths from pandemic-related disruptions.","All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.","We use the baseline estimates by [Ariel Karlinsky and Dmitry Kobak (2021)](https://elifesciences.org/articles/69336) as part of their World Mortality Dataset (WMD).","We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in [this spreadsheet](https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing)."],"dimensions":{"years":{"values":[{"id":26},{"id":55},{"id":86},{"id":116},{"id":147},{"id":177},{"id":208},{"id":239},{"id":269},{"id":300},{"id":330},{"id":361},{"id":392},{"id":420},{"id":451},{"id":481},{"id":512},{"id":542},{"id":573},{"id":604},{"id":634},{"id":665},{"id":695},{"id":726},{"id":757},{"id":785},{"id":816},{"id":846},{"id":877},{"id":907},{"id":938},{"id":969},{"id":999},{"id":1030},{"id":1060},{"id":1091},{"id":1122},{"id":1150},{"id":1181},{"id":1211},{"id":1242},{"id":1272},{"id":1303},{"id":1334},{"id":1364},{"id":1395},{"id":1425},{"id":1456},{"id":0},{"id":7},{"id":14},{"id":21},{"id":28},{"id":35},{"id":42},{"id":49},{"id":56},{"id":63},{"id":70},{"id":77},{"id":84},{"id":91},{"id":98},{"id":105},{"id":112},{"id":119},{"id":126},{"id":133},{"id":140},{"id":154},{"id":161},{"id":168},{"id":175},{"id":182},{"id":189},{"id":196},{"id":203},{"id":210},{"id":217},{"id":224},{"id":231},{"id":238},{"id":245},{"id":252},{"id":259},{"id":266},{"id":273},{"id":280},{"id":287},{"id":294},{"id":301},{"id":308},{"id":315},{"id":322},{"id":329},{"id":336},{"id":343},{"id":350},{"id":357},{"id":364},{"id":371},{"id":378},{"id":385},{"id":399},{"id":406},{"id":413},{"id":427},{"id":434},{"id":441},{"id":448},{"id":455},{"id":462},{"id":469},{"id":476},{"id":483},{"id":490},{"id":497},{"id":504},{"id":511},{"id":518},{"id":525},{"id":532},{"id":539},{"id":546},{"id":553},{"id":560},{"id":567},{"id":574},{"id":581},{"id":588},{"id":595},{"id":602},{"id":609},{"id":616},{"id":623},{"id":630},{"id":637},{"id":644},{"id":651},{"id":658},{"id":672},{"id":679},{"id":686},{"id":693},{"id":700},{"id":707},{"id":714},{"id":721},{"id":728},{"id":735},{"id":742},{"id":749},{"id":756},{"id":763},{"id":770},{"id":777},{"id":784},{"id":791},{"id":798},{"id":805},{"id":812},{"id":819},{"id":826},{"id":833},{"id":840},{"id":847},{"id":854},{"id":861},{"id":868},{"id":875},{"id":882},{"id":889},{"id":896},{"id":903},{"id":910},{"id":917},{"id":924},{"id":931},{"id":945},{"id":952},{"id":959},{"id":966},{"id":973},{"id":980},{"id":987},{"id":994},{"id":1001},{"id":1008},{"id":1015},{"id":1022},{"id":1029},{"id":1036},{"id":1043},{"id":1050},{"id":1057},{"id":1064},{"id":1071},{"id":1078},{"id":1085},{"id":1092},{"id":1099},{"id":1106},{"id":1113},{"id":1120},{"id":1127},{"id":1134},{"id":1141},{"id":1148},{"id":1155},{"id":1162},{"id":1169},{"id":1176},{"id":1183},{"id":1190},{"id":1197},{"id":1204},{"id":1218},{"id":1225},{"id":1232},{"id":1239},{"id":1246},{"id":1253},{"id":1260},{"id":1267},{"id":1274},{"id":1281},{"id":1288},{"id":1295},{"id":1302},{"id":1309},{"id":1316},{"id":1323},{"id":1330},{"id":1337},{"id":1344},{"id":1351},{"id":1358},{"id":1365},{"id":1372},{"id":1379},{"id":1386},{"id":1393},{"id":1400},{"id":1407},{"id":1414},{"id":1421},{"id":1428},{"id":1435},{"id":1442},{"id":1449}]},"entities":{"values":[{"id":16,"name":"Albania","code":"ALB"},{"id":17,"name":"Algeria","code":"DZA"},{"id":18,"name":"Andorra","code":"AND"},{"id":20,"name":"Antigua 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Marino","code":"SMR"},{"id":88,"name":"Serbia","code":"SRB"},{"id":233,"name":"Seychelles","code":"SYC"},{"id":86,"name":"Singapore","code":"SGP"},{"id":85,"name":"Slovakia","code":"SVK"},{"id":83,"name":"Slovenia","code":"SVN"},{"id":81,"name":"South Africa","code":"ZAF"},{"id":127,"name":"South Korea","code":"KOR"},{"id":9,"name":"Spain","code":"ESP"},{"id":234,"name":"Suriname","code":"SUR"},{"id":10,"name":"Sweden","code":"SWE"},{"id":7,"name":"Switzerland","code":"CHE"},{"id":198,"name":"Taiwan","code":"TWN"},{"id":76,"name":"Tajikistan","code":"TJK"},{"id":75,"name":"Thailand","code":"THA"},{"id":395,"name":"Transnistria","code":"OWID_TRS"},{"id":71,"name":"Tunisia","code":"TUN"},{"id":70,"name":"Turkey","code":"TUR"},{"id":67,"name":"Ukraine","code":"UKR"},{"id":72,"name":"United Arab Emirates","code":"ARE"},{"id":1,"name":"United Kingdom","code":"GBR"},{"id":13,"name":"United States","code":"USA"},{"id":63,"name":"Uruguay","code":"URY"},{"id":62,"name":"Uzbekistan","code":"UZB"}]}},"origins":[{"id":14724,"title":"Short-term Mortality Fluctuations","description":"In response to the COVID-19 pandemic, the HMD team decided to establish a new data resource: Short-term Mortality Fluctuations (STMF) data series. Objective and internationally comparable data are crucial to determine the effectiveness of different strategies used to address epidemics. Weekly death counts provide the most objective and comparable way of assessing the scale of short-term mortality elevations across countries and time. More details about this data project can be found in the recently published paper (https://www.nature.com/articles/s41597-021-01019-1).\n\nBefore using the data, please consult the STMF Methodological Note (https://www.mortality.org/File/GetDocument/Public/STMF_DOC/STMFNote.pdf), which provides a more comprehensive description of this data project, including important aspects related to data collection and data processing. We also recommend that you read the STMF Metadata (https://www.mortality.org/File/GetDocument/Public/STMF_DOC/STMFmetadata.pdf). This document includes country-specific information about data availability, completeness, data sources, as well as specific features of included data.\n\nData will be frequently updated and new countries will be added. Data are published under CC BY 4.0 license.\n\nFor citing STMF data, please follow the HMD data citation guidelines (https://www.mortality.org/Research/CitationGuidelines).\n\nHMD provides an online STMF visualization toolkit (https://mpidr.shinyapps.io/stmortality).","producer":"Human Mortality Database","citationFull":"HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.","attributionShort":"HMD","urlMain":"https://www.mortality.org/Data/STMF","urlDownload":"https://www.mortality.org/File/GetDocument/Public/STMF/Outputs/stmf.csv","dateAccessed":"2026-05-11","datePublished":"2026-04-30","license":{"url":"https://www.mortality.org/Data/UserAgreement","name":"Creative Commons BY 4.0"}},{"id":14725,"title":"World Mortality Dataset","description":"World Mortality Dataset: international data on all-cause mortality.\n\nThis dataset contains country-level data on all-cause mortality in 2015–2024 collected from various sources. They are currently providing data for 122 countries and territories.\n\nFor a complete and up-to-date list of notes on the dataset, please refer to their GitHub page at https://github.com/akarlinsky/world_mortality/.\n\nFor the list of sources that they use, please go to https://github.com/akarlinsky/world_mortality/#sources.\n\nPublished paper available at https://elifesciences.org/articles/69336.","producer":"Karlinsky and Kobak","citationFull":"Karlinsky, A. and Kobak, D. (2021). Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset. eLife. https://doi.org/10.7554/eLife.69336.","urlMain":"https://github.com/akarlinsky/world_mortality/","urlDownload":"https://raw.githubusercontent.com/akarlinsky/world_mortality/main/world_mortality.csv","dateAccessed":"2026-05-11","datePublished":"2021-06-30","license":{"url":"https://github.com/akarlinsky/world_mortality/blob/main/LICENSE","name":"MIT License"}},{"id":14723,"title":"Excess mortality during the COVID-19 pandemic","description":"The data are sourced from the World Mortality Dataset (https://github.com/akarlinsky/world_mortality). Excess mortality is computed relative to the baseline obtained using linear extrapolation of the 2015–19 trend (different baselines for 2020, 2021, and 2022). In each subplot in the figure below, gray lines are 2015–19, black line is baseline for 2020, red line is 2020, blue line is 2021, orange line is 2022. Countries are sorted by the total excess mortality as % of the 2020 baseline.\n\nFor more details, refer to https://github.com/dkobak/excess-mortality#excess-mortality-during-the-covid-19-pandemic.","producer":"Karlinsky and Kobak","citationFull":"Karlinsky, A. and Kobak, D. (2021). Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset. eLife, 10:e69336. https://elifesciences.org/articles/69336.","urlMain":"https://github.com/dkobak/excess-mortality","urlDownload":"https://raw.githubusercontent.com/dkobak/excess-mortality/main/baselines-per-year.csv","dateAccessed":"2026-05-11","datePublished":"2021-06-30","license":{"url":"https://github.com/dkobak/excess-mortality/blob/main/LICENSE","name":"GPL-3.0"}}]}