19 datasets found
  1. World: annual birth rate, death rate, and rate of natural population change...

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 2025
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    Statista (2025). World: annual birth rate, death rate, and rate of natural population change 1950-2100 [Dataset]. https://www.statista.com/statistics/805069/death-rate-worldwide/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The COVID-19 pandemic increased the global death rate, reaching *** in 2021, but had little to no significant impact on birth rates, causing population growth to dip slightly. On a global level, population growth is determined by the difference between the birth and death rates, known as the rate of natural change. On a national or regional level, migration also affects population change. Ongoing trends Since the middle of the 20th century, the global birth rate has been well above the global death rate; however, the gap between these figures has grown closer in recent years. The death rate is projected to overtake the birth rate in the 2080s, which means that the world's population will then go into decline. In the future, death rates will increase due to ageing populations across the world and a plateau in life expectancy. Why does this change? There are many reasons for the decline in death and birth rates in recent decades. Falling death rates have been driven by a reduction in infant and child mortality, as well as increased life expectancy. Falling birth rates were also driven by the reduction in child mortality, whereby mothers would have fewer children as survival rates rose - other factors include the drop in child marriage, improved contraception access and efficacy, and women choosing to have children later in life.

  2. Vital statistics in the UK: births, deaths and marriages

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 24, 2023
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    Office for National Statistics (2023). Vital statistics in the UK: births, deaths and marriages [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/vitalstatisticspopulationandhealthreferencetables
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    xlsxAvailable download formats
    Dataset updated
    Feb 24, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Annual UK and constituent country figures for births, deaths, marriages, divorces, civil partnerships and civil partnership dissolutions.

  3. M

    India Birth Rate (1950-2025)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). India Birth Rate (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/countries/ind/india/birth-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India
    Description
    India birth rate for 2025 is 16.55, a 1.19% decline from 2024.
    <ul style='margin-top:20px;'>
    
    <li>India birth rate for 2024 was <strong>16.75</strong>, a <strong>3.74% increase</strong> from 2023.</li>
    <li>India birth rate for 2023 was <strong>16.15</strong>, a <strong>1.16% decline</strong> from 2022.</li>
    <li>India birth rate for 2022 was <strong>16.34</strong>, a <strong>0.94% decline</strong> from 2021.</li>
    </ul>Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
    
  4. M

    India Death Rate 1950-2025

    • macrotrends.net
    csv
    Updated Apr 30, 2025
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    MACROTRENDS (2025). India Death Rate 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/ind/india/death-rate
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    csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1950 - May 30, 2025
    Area covered
    India
    Description
    India death rate for 2025 is 7.53, a 0.76% increase from 2024.
    <ul style='margin-top:20px;'>
    
    <li>India death rate for 2024 was <strong>7.47</strong>, a <strong>0.77% increase</strong> from 2023.</li>
    <li>India death rate for 2023 was <strong>7.42</strong>, a <strong>0.49% increase</strong> from 2022.</li>
    <li>India death rate for 2022 was <strong>7.38</strong>, a <strong>0.49% increase</strong> from 2021.</li>
    </ul>Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
    
  5. Data from: Total-evidence dating under the fossilized birth-death process

    • zenodo.org
    • data.niaid.nih.gov
    • +3more
    pdf
    Updated Jul 19, 2024
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    Chi Zhang; Tanja Stadler; Seraina Klopfstein; Tracy A. Heath; Fredrik Ronquist; Chi Zhang; Tanja Stadler; Seraina Klopfstein; Tracy A. Heath; Fredrik Ronquist (2024). Data from: Total-evidence dating under the fossilized birth-death process [Dataset]. http://doi.org/10.5061/dryad.26820
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    pdfAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Chi Zhang; Tanja Stadler; Seraina Klopfstein; Tracy A. Heath; Fredrik Ronquist; Chi Zhang; Tanja Stadler; Seraina Klopfstein; Tracy A. Heath; Fredrik Ronquist
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Bayesian total-evidence dating involves the simultaneous analysis of morphological data from the fossil record and morphological and sequence data from recent organisms, and it accommodates the uncertainty in the placement of fossils while dating the phylogenetic tree. Due to the flexibility of the Bayesian approach, total-evidence dating can also incorporate additional sources of information. Here, we take advantage of this and expand the analysis to include information about fossilization and sampling processes. Our work is based on the recently described fossilized birth-death (FBD) process, which has been used to model speciation, extinction and fossilization rates that can vary over time in a piecewise manner. So far, sampling of extant and fossil taxa has been assumed to be either complete or uniformly at random, an assumption which is only valid for a minority of datasets. We therefore extend the FBD process to accommodate diversified sampling of extant taxa, which is standard practice in studies of higher-level taxa. We verify the implementation using simulations and apply it to the early radiation of Hymenoptera (wasps, ants and bees). Previous total-evidence dating analyses of this dataset were based on a simple uniform tree prior and dated the initial radiation of extant Hymenoptera to the late Carboniferous (309 Ma). The analyses using the FBD prior under diversified sampling, however, date the radiation to the Triassic and Permian (252 Ma), slightly older than the age of the oldest hymenopteran fossils. By exploring a variety of FBD model assumptions, we show that it is mainly the accommodation of diversified sampling that causes the push towards more recent divergence times. Accounting for diversified sampling thus has the potential to close the long-discussed gap between rocks and clocks. We conclude that the explicit modeling of fossilization and sampling processes can improve divergence time estimates, but only if all important model aspects, including sampling biases, are adequately addressed.

  6. d

    Infant Mortality

    • catalog.data.gov
    • nycopendata.socrata.com
    • +4more
    Updated Nov 15, 2024
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    data.cityofnewyork.us (2024). Infant Mortality [Dataset]. https://catalog.data.gov/dataset/infant-mortality
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    Dataset updated
    Nov 15, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    Infant Mortality Rate by Maternal Race/Ethnicity for New York City, 2007-2016 Counts of infant deaths (age <1 year) are based on NYC death certificates. The rate is calculated using the counts of infant deaths as the numerator and the count of live births from NYC birth certificates as the denominator.

  7. f

    Additional file 3: of Divergence times in demosponges (Porifera): first...

    • springernature.figshare.com
    xml
    Updated Jun 2, 2023
    + more versions
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    Additional file 3: of Divergence times in demosponges (Porifera): first insights from new mitogenomes and the inclusion of fossils in a birth-death clock model [Dataset]. https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Divergence_times_in_demosponges_Porifera_first_insights_from_new_mitogenomes_and_the_inclusion_of_fossils_in_a_birth-death_clock_model/6838937
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    xmlAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    figshare
    Authors
    Astrid Schuster; Sergio Vargas; Ingrid Knapp; Shirley Pomponi; Robert Toonen; Dirk Erpenbeck; Gert Wรถrheide
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    XML BEAST file including data matrix and parameter setup as described in Materials and Methods. (XML 291 kb)

  8. w

    Dataset of artists who created Clock

    • workwithdata.com
    Updated May 8, 2025
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    Work With Data (2025). Dataset of artists who created Clock [Dataset]. https://www.workwithdata.com/datasets/artists?f=1&fcol0=j0-artwork&fop0=%3D&fval0=Clock&j=1&j0=artworks
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    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about artists. It has 6 rows and is filtered where the artworks is Clock. It features 9 columns including birth date, death date, country, and gender.

  9. Death rate in India 2023

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Death rate in India 2023 [Dataset]. https://www.statista.com/statistics/580178/death-rate-in-india/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2023, the death rate in India remained nearly unchanged at around **** deaths per 1,000 inhabitants. The crude death rate is the annual number of deaths in a given population, expressed per 1,000 people. When looked at in unison with the crude birth rate, the rate of natural increase can be determined.Find more statistics on other topics about India with key insights such as life expectancy of women at birth, total fertility rate, and crude birth rate.

  10. Death rates by main cause in Russia 2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 19, 2025
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    Statista (2025). Death rates by main cause in Russia 2023 [Dataset]. https://www.statista.com/statistics/892363/main-causes-of-death-in-russia/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Russia
    Description

    The most common cause of death in Russia in 2023 was diseases of the circulatory system, with approximately *** deaths per 100,000 of the country's population. Furthermore, *** deaths per 100,000 population occurred due to neoplasms, which were the second leading cause of mortality in the country. The third-most common cause was diseases of the nervous system, accounting for nearly ** deaths per 100,000 residents. Are there more births or deaths in Russia per year? In recent years, the annual number of deaths was higher than the count of births in Russia. The natural decrease in the population, calculated as the difference between deaths and births, was around one million in 2021. The number of deaths per one thousand population, also known as the mortality rate, increased from **** in 2021 to **** in 2022. How long do Russians live on average? Russian residents born in 2022 were expected to live an average of ** years. The country had one of the largest gender gaps in life expectancy in the OECD, according to the World Bank's World Development Indicators in 2021. Women were expected to live for approximately ** years longer than men.

  11. f

    Data_Sheet_1_Rates and Rocks: Strengths and Weaknesses of Molecular Dating...

    • frontiersin.figshare.com
    pdf
    Updated May 31, 2023
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    Stéphane Guindon (2023). Data_Sheet_1_Rates and Rocks: Strengths and Weaknesses of Molecular Dating Methods.PDF [Dataset]. http://doi.org/10.3389/fgene.2020.00526.s001
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Stéphane Guindon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    I present here an in-depth, although non-exhaustive, review of two topics in molecular dating. Clock models, which describe the evolution of the rate of evolution, are considered first. Some of the shortcomings of popular approaches—uncorrelated clock models in particular—are presented and discussed. Autocorrelated models are shown to be more reasonable from a biological perspective. Some of the most recent autocorrelated models also rely on a coherent treatment of instantaneous and average substitution rates while previous models are based on implicit approximations. Second, I provide a brief overview of the processes involved in collecting and preparing fossil data. I then review the main techniques that use this data for calibrating the molecular clock. I argue that, in its current form, the fossilized birth-death process relies on assumptions about the mechanisms underlying fossilization and the data collection process that may negatively impact the date estimates. Node-dating approaches make better use of the data available, even though they rest on paleontologists' intervention to prepare raw fossil data. Altogether, this study provides indications that may help practitioners in selecting appropriate methods for molecular dating. It will also hopefully participate in defining the contour of future methodological developments in the field.

  12. a

    Preterm and Very Preterm Live Births by County 2010 - 2018

    • usc-geohealth-hub-uscssi.hub.arcgis.com
    Updated Oct 20, 2022
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    Spatial Sciences Institute (2022). Preterm and Very Preterm Live Births by County 2010 - 2018 [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/datasets/USCSSI::preterm-and-very-preterm-live-births-by-county-2010-2018
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    Dataset updated
    Oct 20, 2022
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    Very preterm births are all live births less than 32 weeks of gestation. Important growth and development occur throughout pregnancy, especially in the final months and weeks. There is a higher risk of serious disability or death the earlier a baby is born.Data Dictionary: Column NameFormatDefinitionYearStringYear in which events occurredCountyStringMaternal County of residence (this is not necessarily the same County as where the birth occurred)Birth TypeStringEither Preterm or Very Preterm Births. Preterm births are all live births <37 weeks of gestation. Very preterm births are all live births <32 weeks of gestation. Gestational age is based on obstetric estimate at delivery. Data includes births with gestational age of 17-47 weeks. Total BirthsNumericTotal count of live births within yearEventsNumericCount of preterm or very preterm live births within year. Count is not shown when less than 10.PercentNumericCalculated by dividing the Count by Total Births, then multiplying by 100. Percents are not shown when the Count is less than 10.Lower 95% CINumericLower limit of 95% confidence interval. The 95% confidence limits depict the range within which the percentage would probably occur in 95 of 100 sets of data (if data similar to the present set were independently acquired on 100 separate occasions). In five of those 100 data sets, the percentage would fall outside the limits.Upper 95% CINumericUpper limit of 95% confidence interval. The 95% confidence limits depict the range within which the percentage would probably occur in 95 of 100 sets of data (if data similar to the present set were independently acquired on 100 separate occasions). In five of those 100 data sets, the percentage would fall outside the limits.

  13. d

    Data from: Clock model makes a large difference to age estimates of...

    • datadryad.org
    zip
    Updated Dec 24, 2014
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    Michael D. Crisp; Nate B. Hardy; Lyn G. Cook (2014). Clock model makes a large difference to age estimates of long-stemmed clades with no internal calibration: a test using Australian grasstrees [Dataset]. http://doi.org/10.5061/dryad.d1nb6
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    zipAvailable download formats
    Dataset updated
    Dec 24, 2014
    Dataset provided by
    Dryad
    Authors
    Michael D. Crisp; Nate B. Hardy; Lyn G. Cook
    Time period covered
    2014
    Area covered
    Australia
    Description

    Monocots_cpDNAData files for phylogenetic analyses of monocots in RAxML and BEAST using cpDNA alignment with varying combinations of DNA partitioning and clock models.Xanthorrhoeaceae_cpDNAxml files for dating analyses of Xanthorrhoeaceae in BEAST using cpDNA alignment with varying combinations of tree growth models (Yule and birth-death) and clock models (RLC and UCLN).Xanthorrhoeaceae_rpb2xml files for dating analyses of Xanthorrhoeaceae in BEAST using rpb2 alignment with varying combinations of DNA partitioning, clock and tree growth models.Appendix 1 simulationsZip file containing (1) files used for simulations including scripts for simulating broom-and-bush trees, (2) a tree file containing the 10 trees selected for further analysis, (3) xml files used for analysis of simulated alignments in BEAST under combinations of tree growth (Yule and BD) and clock (RLC and UCLN) models, and (4) annotated MCC trees resulting from the BEAST analyses.Appendix 2 cpDNA accessionsTable of taxa seq...

  14. m

    Data for: The timing of Malvales evolution: incorporating its extensive...

    • data.mendeley.com
    Updated Aug 30, 2019
    + more versions
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    Rebeca Hernández-Gutiérrez (2019). Data for: The timing of Malvales evolution: incorporating its extensive fossil record to inform about lineage diversification [Dataset]. http://doi.org/10.17632/2ftkfv8gdd.1
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    Dataset updated
    Aug 30, 2019
    Authors
    Rebeca Hernández-Gutiérrez
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    DNA sequence alingment from eight molecular markers. Includes extant and fossil taxa. Absolute age of fossils for Fossilized Birth-Death process dating.

  15. Number of births in China 2014-2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of births in China 2014-2024 [Dataset]. https://www.statista.com/statistics/250650/number-of-births-in-china/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, around **** million babies were born in China. The number of births has increased slightly from **** million in the previous year, but is much lower than the ***** million births recorded in 2016. Demographic development in China In 2022, the Chinese population decreased for the first time in decades, and population decline is expected to accelerate in the upcoming years. To curb the negative effects of an aging population, the Chinese government decided in 2013 to gradually relax the so called one-child-policy, which had been in effect since 1979. From 2016 onwards, parents in China were allowed to have two children in general. However, as the recent figures of births per year reveal, this policy change had only short-term effects on the general birth rate: the number of births slightly increased from 2014 onwards, but then started to fell again in 2018. In 2024, China was the second most populous country in the world, overtaken by India that year. China’s aging population The Chinese society is aging rapidly and facing a serious demographic shift towards older age groups. The median age of China’s population has increased massively from about ** years in 1970 to **** years in 2020 and is projected to rise continuously until 2080. In 2020, approximately **** percent of the Chinese were 60 years and older, a figure that is forecast to rise as high as ** percent by 2060. This shift in demographic development will increase social and elderly support expenditure of the society as a whole. One measure for this social imbalance is the old-age dependency ratio, measuring the relationship between economic dependent older age groups and the working-age population. The old-age dependency ratio in China is expected to soar to ** percent in 2060, implying that by then three working-age persons will have to support two elderly persons.

  16. Number of births in the United States 1990-2023

    • statista.com
    Updated Jul 2, 2025
    + more versions
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    Statista (2025). Number of births in the United States 1990-2023 [Dataset]. https://www.statista.com/statistics/195908/number-of-births-in-the-united-states-since-1990/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    While the standard image of the nuclear family with two parents and 2.5 children has persisted in the American imagination, the number of births in the U.S. has steadily been decreasing since 1990, with about 3.6 million babies born in 2023. In 1990, this figure was 4.16 million. Birth and replacement rates A country’s birth rate is defined as the number of live births per 1,000 inhabitants, and it is this particularly important number that has been decreasing over the past few decades. The declining birth rate is not solely an American problem, with EU member states showing comparable rates to the U.S. Additionally, each country has what is called a “replacement rate.” The replacement rate is the rate of fertility needed to keep a population stable when compared with the death rate. In the U.S., the fertility rate needed to keep the population stable is around 2.1 children per woman, but this figure was at 1.67 in 2022. Falling birth rates Currently, there is much discussion as to what exactly is causing the birth rate to decrease in the United States. There seem to be several factors in play, including longer life expectancies, financial concerns (such as the economic crisis of 2008), and an increased focus on careers, all of which are causing people to wait longer to start a family. How international governments will handle falling populations remains to be seen, but what is clear is that the declining birth rate is a multifaceted problem without an easy solution.

  17. Age distribution in the United States 2024

    • statista.com
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    Statista, Age distribution in the United States 2024 [Dataset]. https://www.statista.com/statistics/270000/age-distribution-in-the-united-states/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic depicts the age distribution in the United States from 2014 to 2024. In 2024, about 17.32 percent of the U.S. population fell into the 0-14 year category, 64.75 percent into the 15-64 age group and 17.93 percent of the population were over 65 years of age. The increasing population of the United States The United States of America is one of the most populated countries in the world, trailing just behind China and India. A total population count of around 320 million inhabitants and a more-or-less steady population growth over the past decade indicate that the country has steadily improved its living conditions and standards for the population. Leading healthier lifestyles and improved living conditions have resulted in a steady increase of the life expectancy at birth in the United States. Life expectancies of men and women at birth in the United States were at a record high in 2012. Furthermore, a constant fertility rate in recent years and a decrease in the death rate and infant mortality, all due to the improved standard of living and health care conditions, have helped not only the American population to increase but as a result, the share of the population younger than 15 and older than 65 years has also increased in recent years, as can be seen above.

  18. Weekly number of deaths in England and Wales 2020-2025

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Weekly number of deaths in England and Wales 2020-2025 [Dataset]. https://www.statista.com/statistics/1111804/weekly-deaths-in-england-and-wales/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Jun 2025
    Area covered
    Wales, England
    Description

    There were 10,075 deaths registered in England and Wales for the week ending June 27, 2025, compared with 10,411 in the previous week. During this time period, the two weeks with the highest number of weekly deaths were in April 2020, with the week ending April 17, 2020, having 22,351 deaths, and the following week 21,997 deaths, a direct result of the COVID-19 pandemic in the UK. Death and life expectancy As of 2022, the life expectancy for women in the UK was just over 82.5 years, and almost 78.6 years for men. Compared with 1765, when average life expectancy was under 39 years, this is a huge improvement in historical terms. Even in the more recent past, life expectancy was less than 47 years at the start of the 20th Century, and was under 70 as recently as the 1950s. Despite these significant developments in the long-term, improvements in life expectancy stalled between 2009/11 and 2015/17, and have even gone into decline since 2020. Between 2020 and 2022, for example, life expectancy at birth fell by 23 weeks for females, and 37 weeks for males. COVID-19 in the UK The first cases of COVID-19 in the United Kingdom were recorded on January 31, 2020, but it was not until a month later that cases began to rise exponentially. By March 5 of this year there were more than 100 cases, rising to 1,000 days later and passing 10,000 cumulative cases by March 26. At the height of the pandemic in late April and early May, there were around six thousand new cases being recorded daily. As of January 2023, there were more than 24.2 million confirmed cumulative cases of COVID-19 recorded in the United Kingdom, resulting in 202,156 deaths.

  19. Population of Japan 1800-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Population of Japan 1800-2020 [Dataset]. https://www.statista.com/statistics/1066956/population-japan-historical/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 1800, the population of Japan was just over 30 million, a figure which would grow by just two million in the first half of the 19th century. However, with the fall of the Tokugawa shogunate and the restoration of the emperor in the Meiji Restoration of 1868, Japan would begin transforming from an isolated feudal island, to a modernized empire built on Western models. The Meiji period would see a rapid rise in the population of Japan, as industrialization and advancements in healthcare lead to a significant reduction in child mortality rates, while the creation overseas colonies would lead to a strong economic boom. However, this growth would slow beginning in 1937, as Japan entered a prolonged war with the Republic of China, which later grew into a major theater of the Second World War. The war was eventually brought to Japan's home front, with the escalation of Allied air raids on Japanese urban centers from 1944 onwards (Tokyo was the most-bombed city of the Second World War). By the war's end in 1945 and the subsequent occupation of the island by the Allied military, Japan had suffered over two and a half million military fatalities, and over one million civilian deaths.

    The population figures of Japan were quick to recover, as the post-war “economic miracle” would see an unprecedented expansion of the Japanese economy, and would lead to the country becoming one of the first fully industrialized nations in East Asia. As living standards rose, the population of Japan would increase from 77 million in 1945, to over 127 million by the end of the century. However, growth would begin to slow in the late 1980s, as birth rates and migration rates fell, and Japan eventually grew to have one of the oldest populations in the world. The population would peak in 2008 at just over 128 million, but has consistently fallen each year since then, as the fertility rate of the country remains below replacement level (despite government initiatives to counter this) and the country's immigrant population remains relatively stable. The population of Japan is expected to continue its decline in the coming years, and in 2020, it is estimated that approximately 126 million people inhabit the island country.

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Statista (2025). World: annual birth rate, death rate, and rate of natural population change 1950-2100 [Dataset]. https://www.statista.com/statistics/805069/death-rate-worldwide/
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World: annual birth rate, death rate, and rate of natural population change 1950-2100

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Dataset updated
Jun 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
World
Description

The COVID-19 pandemic increased the global death rate, reaching *** in 2021, but had little to no significant impact on birth rates, causing population growth to dip slightly. On a global level, population growth is determined by the difference between the birth and death rates, known as the rate of natural change. On a national or regional level, migration also affects population change. Ongoing trends Since the middle of the 20th century, the global birth rate has been well above the global death rate; however, the gap between these figures has grown closer in recent years. The death rate is projected to overtake the birth rate in the 2080s, which means that the world's population will then go into decline. In the future, death rates will increase due to ageing populations across the world and a plateau in life expectancy. Why does this change? There are many reasons for the decline in death and birth rates in recent decades. Falling death rates have been driven by a reduction in infant and child mortality, as well as increased life expectancy. Falling birth rates were also driven by the reduction in child mortality, whereby mothers would have fewer children as survival rates rose - other factors include the drop in child marriage, improved contraception access and efficacy, and women choosing to have children later in life.

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