Until the 1800s, population growth was incredibly slow on a global level. The global population was estimated to have been around 188 million people in the year 1CE, and did not reach one billion until around 1803. However, since the 1800s, a phenomenon known as the demographic transition has seen population growth skyrocket, reaching eight billion people in 2023, and this is expected to peak at over 10 billion in the 2080s.

The earliest point where scientists can make reasonable estimates for the population of global regions is around 10,000 years before the Common Era (or 12,000 years ago). Estimates suggest that Asia has consistently been the most populated continent, and the least populated continent has generally been Oceania (although it was more heavily populated than areas such as North America in very early years). Population growth was very slow, but an increase can be observed between most of the given time periods. There were, however, dips in population due to pandemics, the most notable of these being the impact of plague in Eurasia in the 14th century, and the impact of European contact with the indigenous populations of the Americas after 1492, where it took almost four centuries for the population of Latin America to return to its pre-1500 level. The world's population first reached one billion people in 1803, which also coincided with a spike in population growth, due to the onset of the demographic transition. This wave of growth first spread across the most industrially developed countries in the 19th century, and the correlation between demographic development and industrial or economic maturity continued until today, with Africa being the final major region to begin its transition in the late-1900s.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Total current population for China in 2025 is 1,424,381,924, a 0.06% decline from 2024.

<ul style='margin-top:20px;'>

<li>Total population for China in 2024 was <strong>1,425,178,782</strong>, a <strong>1.03% increase</strong> from 2023.</li>
<li>Total population for China in 2023 was <strong>1,410,710,000</strong>, a <strong>0.1% decline</strong> from 2022.</li>
<li>Total population for China in 2022 was <strong>1,412,175,000</strong>, a <strong>0.01% decline</strong> from 2021.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

In 1800, the population of the region of present-day India was approximately 169 million. The population would grow gradually throughout the 19th century, rising to over 240 million by 1900. Population growth would begin to increase in the 1920s, as a result of falling mortality rates, due to improvements in health, sanitation and infrastructure. However, the population of India would see it’s largest rate of growth in the years following the country’s independence from the British Empire in 1948, where the population would rise from 358 million to over one billion by the turn of the century, making India the second country to pass the billion person milestone. While the rate of growth has slowed somewhat as India begins a demographics shift, the country’s population has continued to grow dramatically throughout the 21st century, and in 2020, India is estimated to have a population of just under 1.4 billion, well over a billion more people than one century previously. Today, approximately 18% of the Earth’s population lives in India, and it is estimated that India will overtake China to become the most populous country in the world within the next five years.

The Population Exposure Estimates in Proximity to Nuclear Power Plants, Country-Level Aggregates data set consists of country-level estimates of total, urban, and rural populations and land area, country-wide, that are in proximity to a nuclear power plant. This data set was created using a global data set of point locations of nuclear power plants, with buffer zones at 30km, 75km, 150km, 300km, 600km, and 1200km, and the Global Population Count Grid Time Series Estimates, Version 1 to estimate the population within each buffer zone for the years 1990, 2000, and 2010. Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) Land and Geographic Unit Area Grids were used to estimate land area within each buffer zone. The GRUMPv1 Urban Extents Grid was used to further delineate population and land area estimates within urban and rural areas. All grids used for population, land area, and urban mask were of 1 km (30 arc-second) resolution.

This data set contains the documentation of the BALTIC data set analysis as a part of the manuscript 'Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale' by Kissling, W. D., et al. (2018), Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biol Rev, 93: 600-625. doi:10.1111/brv.12359 The data set contains input and output files, geographic locations, and R scripts. This data set contains the documentation of the BALTIC data set analysis as a part of the manuscript 'Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale' by Kissling, W. D., et al. (2018), Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biol Rev, 93: 600-625. doi:10.1111/brv.12359 The data set contains input and output files, geographic locations, and R scripts. Innehåller data för BALTIS-analysen som genomfördes för "Building essential biodiversity variables (EBVs) of species distribution and abundance on a global scale" som ingår i: Kissling, W. D., et al. (2018), Bygga väsentliga biodiversitetsvariabler (EBV) av artdistribution och överflöd på global nivå. Biol Rev, 93: 600-625. doi: 10,1111 / brv.12359 Datasetet består av inmatnings- och utdatafiler, geografiska platser och R-skript. This data set contains the documentation of the BALTIC data set analysis as a part of the manuscript 'Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale' by Kissling, W. D., et al. (2018), Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biol Rev, 93: 600-625. doi:10.1111/brv.12359 The data set contains input and output files, geographic locations, and R scripts.

The Coho Salmon data is part of Ranson Myers Stock Recruitment Database site. The site consists of maps, plots, and numerical data relating to over 600 fish populations (over 100 species) from all over the world. Approximately 100 new populations are added per year. The purpose of this site is to compile all population dynamics data on fish in the world, so that synthetic analyses will lead to enhanced conservation and improved fisheries management.

This data set contains the documentation of the BALTIC data set analysis as a part of the manuscript 'Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale' by Kissling, W. D., et al. (2018), Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biol Rev, 93: 600-625. doi:10.1111/brv.12359 The data set contains input and output files, geographic locations, and R scripts. This data set contains the documentation of the BALTIC data set analysis as a part of the manuscript 'Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale' by Kissling, W. D., et al. (2018), Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biol Rev, 93: 600-625. doi:10.1111/brv.12359 The data set contains input and output files, geographic locations, and R scripts.

The number of people without access to electricity worldwide has dropped by more than half between 2000 and 2024, amounting to 737 million in the latter year. The biggest decline was recorded in the developing Asian region, where the population without access to electricity declined by nearly 90 percent in the period. Meanwhile, this value increased in Sub-Saharan Africa, which accounted for 80 percent of the global total in 2024.

The Census of Antarctic Marine Life (CAML) Project Archive is a collection of scanned documents, maps, videos, and other related material that comprise the organisation and management documentation associated with a major research project of international significance. CAML measured the distribution and abundance of life in the Southern Ocean around Antarctica so that future impacts of climate change and human activities can be better understood. CAML coordinated the largest-ever survey of the Southern Ocean with 18 voyages in Antarctic waters, and inventoried over 16,000 marine species with hundreds new to science, provided DNA barcodes for 1,500 species, and has so far produced more than 600 scientific publications. CAML is a key activity of the Scientific Committee on Antarctic Research (SCAR); a subproject of the Census of Marine Life (CoML); and was a major initiative of the 2007-2009 International Polar Year (IPY).

The last tab shows the sequences extracted from the S. stercoralis whole genome sequencing read data from [20]. (XLSX)

In 1844, Romania had a population of just 3.6 million people. During the early entries in this data, Romania's borders were very different and much smaller than today, and control of this area often switched hands between the Austrian, Ottoman and Russian empires. The populations during this time are based on estimates made for incomplete census data, and they show that the population grows from 3.6 million in 1844, doubling to 7.2 million in 1912, part of this growth is due to a high natural birth rate during this period, but also partly due to the changing of Romania's borders and annexation of new lands. During this time Romania gained its independence from the Ottoman Empire as a result of the Russo-Turkish War in 1878, and experienced a period of increased stability and progress.

Between 1912 and 1930 the population of Romania grew by over 10 million people. The main reason for this is the huge territories gained by Romania in the aftermath of the First World War. During the war Romania remained neutral for the first two years, after which it joined the allies; however, it was very quickly defeated and overrun by the Central Powers, and in total it lost over 600 thousand people as a direct result of the war. With the collapse of the Austro-Hungarian and Russian empires after the war, Romania gained almost double it's territory, which caused the population to soar to 18.1 million in 1930. The population then decreases by 1941 and again by 1948, as Romania seceded territory to neighboring countries and lost approximately half a million people during the Second World War. From 1948 onwards the population begins to grow again, reaching it's peak at 23.5 million people in 1990.

Like many other Eastern European countries, there was very limited freedom of movement from Romania during the Cold War, and communist rule was difficult for the Romanian people. The Romanian Revolution in 1989 ended communist rule in the country, Romania transitioned to a free-market society and movement from the country was allowed. Since then the population has fallen each year as more and more Romanians move abroad in search of work and opportunities. The population is expected to fall to 19.2 million in 2020, which is over 4 million fewer people than it had in 1990.

Chart and table of population level and growth rate for the Vancouver, Canada metro area from 1950 to 2025.

The Census of Antarctic Marine Life (CAML) Project Archive is a collection of scanned documents, maps, videos, and other related material that comprise the organisation and management documentation associated with a major research project of international significance. CAML measured the distribution and abundance of life in the Southern Ocean around Antarctica so that future impacts of climate change and human activities can be better understood. CAML coordinated the largest-ever survey of the Southern Ocean with 18 voyages in Antarctic waters, and inventoried over 16,000 marine species with hundreds new to science, provided DNA barcodes for 1,500 species, and has so far produced more than 600 scientific publications. CAML is a key activity of the Scientific Committee on Antarctic Research (SCAR); a subproject of the Census of Marine Life (CoML); and was a major initiative of the 2007-2009 International Polar Year (IPY).

The Vatican City, often called the Holy See, has the smallest population worldwide, with only *** inhabitants. It is also the smallest country in the world by size. The islands Niue, Tuvalu, and Nauru followed in the next three positions. On the other hand, India is the most populous country in the world, with over *** billion inhabitants.

There are currently over 1.5 billion active users on TikTok worldwide.

TikTok has 136 million monthly active users in the US alone.

Minecraft is a truly global game with players from all over the world. But the United States has the most players with 21.21% of daily usage recorded coming from the US alone.

FASTA file of the S. fuelleborni whole mitochondrial sequences used in Fig 3.