100+ datasets found
  1. Countries with the highest population growth rate 2024

    • statista.com
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    Statista, Countries with the highest population growth rate 2024 [Dataset]. https://www.statista.com/statistics/264687/countries-with-the-highest-population-growth-rate/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    This statistic shows the 20 countries with the highest population growth rate in 2024. In SouthSudan, the population grew by about 4.65 percent compared to the previous year, making it the country with the highest population growth rate in 2024. The global population Today, the global population amounts to around 7 billion people, i.e. the total number of living humans on Earth. More than half of the global population is living in Asia, while one quarter of the global population resides in Africa. High fertility rates in Africa and Asia, a decline in the mortality rates and an increase in the median age of the world population all contribute to the global population growth. Statistics show that the global population is subject to increase by almost 4 billion people by 2100. The global population growth is a direct result of people living longer because of better living conditions and a healthier nutrition. Three out of five of the most populous countries in the world are located in Asia. Ultimately the highest population growth rate is also found there, the country with the highest population growth rate is Syria. This could be due to a low infant mortality rate in Syria or the ever -expanding tourism sector.

  2. Global population 1800-2100, by continent

    • statista.com
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    Statista, Global population 1800-2100, by continent [Dataset]. https://www.statista.com/statistics/997040/world-population-by-continent-1950-2020/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The world's population first reached one billion people in 1805, and reached eight billion in 2022, and will peak at almost 10.2 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two-thirds of the world's population lives in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a few years later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

  3. World Population Growth

    • kaggle.com
    zip
    Updated Dec 18, 2023
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    Rafsun Ahmad (2023). World Population Growth [Dataset]. https://www.kaggle.com/datasets/rafsunahmad/world-population-growth
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    zip(14910 bytes)Available download formats
    Dataset updated
    Dec 18, 2023
    Authors
    Rafsun Ahmad
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Area covered
    World
    Description

    Population is increasing regularly. We need to identify the growth of population of each city of each country. If the population is not controlled then it can create a huge problem. It will directly effect the resources of nature elements. This dataset contain population growth of each city of each country. Here we have columns: 1. Population in 2022 2. Population in 2023 3. City 4. Country 5. Population growth rate 6. Type

  4. N

    Economy, PA Population Growth and Demographic Trends Dataset: Annual...

    • neilsberg.com
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Economy, PA Population Growth and Demographic Trends Dataset: Annual Editions Collection // Editions 2000-2024 [Dataset]. https://www.neilsberg.com/research/datasets/bc28c60f-55e4-11ee-9c55-3860777c1fe6/
    Explore at:
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Economy, Pennsylvania
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Economy population by year. The dataset can be utilized to understand the population trend of Economy.

    Content

    The dataset constitues the following datasets

    • Economy, PA Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  5. s

    Countries with the highest population decline rate 2024

    • statista.com
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    Statista, Countries with the highest population decline rate 2024 [Dataset]. https://www.statista.com/statistics/264689/countries-with-the-highest-population-decline-rate/
    Explore at:
    Dataset authored and provided by
    Statista
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In the Cook Islands in 2024, the population decreased by about 2.24 percent compared to the previous year, making it the country with the highest population decline rate in 2024. Of the 20 countries with the highest rate of population decline, the majority are island nations, where emigration rates are high (especially to Australia, New Zealand, and the United States), or they are located in Eastern Europe, which suffers from a combination of high emigration rates and low birth rates.

  6. Population dynamics and Population Migration

    • zenodo.org
    Updated Apr 8, 2025
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    Rutuja Sonar Riya Patil; Rutuja Sonar Riya Patil (2025). Population dynamics and Population Migration [Dataset]. http://doi.org/10.5281/zenodo.15175736
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    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Rutuja Sonar Riya Patil; Rutuja Sonar Riya Patil
    Description

    Population dynamics, its types. Population migration (external, internal), factors determining it, main trends. Impact of migration on population health.

    Under the guidance of Moldoev M.I. Sir By Riya Patil and Rutuja Sonar

    Abstract

    Population dynamics influence development and vice versa, at various scale levels: global, continental/world-regional, national, regional, and local. Debates on how population growth affects development and how development affects population growth have already been subject of intensive debate and controversy since the late 18th century, and this debate is still ongoing. While these two debates initially focused mainly on natural population growth, the impact of migration on both population dynamics and development is also increasingly recognized. While world population will continue growing throughout the 21st century, there are substantial and growing contrasts between and within world-regions in the pace and nature of that growth, including some countries where population is stagnating or even shrinking. Because of these growing contrasts, population dynamics and their interrelationships with development have quite different governance implications in different parts of the world.

    1. Population Dynamics

    Population dynamics refers to the changes in population size, structure, and distribution over time. These changes are influenced by four main processes:

    Birth rate (natality)

    Death rate (mortality)

    Immigration (inflow of people)

    Emigration (outflow of people)

    Types of Population Dynamics

    Natural population change: Based on birth and death rates.

    Migration-based change: Caused by people moving in or out of a region.

    Demographic transition: A model that explains changes in population growth as societies industrialize.

    Population distribution: Changes in where people live (urban vs rural).

    2. Population Migration

    Migration refers to the movement of people from one location to another, often across political or geographical boundaries.

    Types of Migration

    External migration (international):

    Movement between countries.

    Examples: Refugee relocation, labor migration, education.

    Internal migration:

    Movement within the same country or region.

    Examples: Rural-to-urban migration, inter-state migration.

    3. Factors Determining Migration

    Migration is influenced by push and pull factors:

    Push factors (reasons to leave a place):

    Unemployment

    Conflict or war

    Natural disasters

    Poverty

    Lack of services or opportunities

    Pull factors (reasons to move to a place):

    Better job prospects

    Safety and security

    Higher standard of living

    Education and healthcare access

    Family reunification

    4. Main Trends in Migration

    Urbanization: Mass movement to cities for work and better services.

    Global labor migration: Movement from developing to developed countries.

    Refugee and asylum seeker flows: Due to conflict or persecution.

    Circular migration: Repeated movement between two or more locations.

    Brain drain/gain: Movement of skilled labor away from (or toward) a country.

    5. Impact of Migration on Population Health

    Positive Impacts:

    Access to better healthcare (for migrants moving to better systems).

    Skills and knowledge exchange among health professionals.

    Remittances improving healthcare affordability in home countries.

    Negative Impacts:

    Migrants’ health risks: Increased exposure to stress, poor living conditions, and occupational hazards.

    Spread of infectious diseases: Especially when health screening is lacking.

    Strain on health services: In receiving areas, especially with sudden or large influxes.

    Mental health challenges: Due to cultural dislocation, discrimination, or trauma.

    Population dynamics is one of the fundamental areas of ecology, forming both the basis for the study of more complex communities and of many applied questions. Understanding population dynamics is the key to understanding the relative importance of competition for resources and predation in structuring ecological communities, which is a central question in ecology.

    Population dynamics plays a central role in many approaches to preserving biodiversity, which until now have been primarily focused on a single species approach. The calculation of the intrinsic growth rate of a species from a life table is often the central piece of conservation plans. Similarly, management of natural resources, such as fisheries, depends on population dynamics as a way to determine appropriate management actions.

    Population dynamics can be characterized by a nonlinear system of difference or differential equations between the birth sizes of consecutive periods. In such a nonlinear system, when the feedback elasticity of previous events on current birth size is larger, the more likely the dynamics will be volatile. Depending on the classification criteria of the population, the revealed cyclical behavior has various interpretations. Under different contextual scenarios, Malthusian cycles, Easterlin cycles, predator–prey cycles, dynastic cycles, and capitalist–laborer cycles have been introduced and analyzed

    Generally, population dynamics is a nonlinear stochastic process. Nonlinearities tend to be complicated to deal with, both when we want to do analytic stochastic modelling and when analysing data. The way around the problem is to approximate the nonlinear model with a linear one, for which the mathematical and statistical theories are more developed and tractable. Let us assume that the population process is described as:

    (1)Nt=f(Nt−1,εt)

    where Nt is population density at time t and εt is a series of random variables with identical distributions (mean and variance). Function f specifies how the population density one time step back, plus the stochastic environment εt, is mapped into the current time step. Let us assume that the (deterministic) stationary (equilibrium) value of the population is N* and that ε has mean ε*. The linear approximation of Eq. (1) close to N* is then:

    (2)xt=axt−1+bϕt

    where xt=Nt−N*, a=f

    f(N*,ε*)/f

    N, b=ff(N*,ε*)/fε, and ϕt=εt−ε*

    The term population refers to the members of a single species that can interact with each other. Thus, the fish in a lake, or the moose on an island, are clear examples of a population. In other cases, such as trees in a forest, it may not be nearly so clear what a population is, but the concept of population is still very useful.

    Population dynamics is essentially the study of the changes in the numbers through time of a single species. This is clearly a case where a quantitative description is essential, since the numbers of individuals in the population will be counted. One could begin by looking at a series of measurements of the numbers of particular species through time. However, it would still be necessary to decide which changes in numbers through time are significant, and how to determine what causes the changes in numbers. Thus, it is more sensible to begin with models that relate changes in population numbers through time to underlying assumptions. The models will provide indications of what features of changes in numbers are important and what measurements are critical to make, and they will help determine what the cause of changes in population levels might be.

    To understand the dynamics of biological populations, the study starts with the simplest possibility and determines what the dynamics of the population would be in that case. Then, deviations in observed populations from the predictions of that simplest case would provide information about the kinds of forces shaping the dynamics of populations. Therefore, in describing the dynamics in this simplest case it is essential to be explicit and clear about the assumptions made. It would not be argued that the idealized population described here would ever be found, but that focusing on the idealized population would provide insight into real populations, just as the study of Newtonian mechanics provides understanding of more realistic situations in physics.

    Population migration

    The vast majority of people continue to live in the countries where they were born —only one in 30 are migrants.

    In most discussions on migration, the starting point is usually numbers. Understanding changes in scale, emerging trends, and shifting demographics related to global social and economic transformations, such as migration, help us make sense of the changing world we live in and plan for the future. The current global estimate is that there were around 281 million international migrants in the world in 2020, which equates to 3.6 percent of the global population.

    Overall, the estimated number of international migrants has increased over the past five decades. The total estimated 281 million people living in a country other than their countries of birth in 2020 was 128 million more than in 1990 and over three times the estimated number in 1970.

    There is currently a larger number of male than female international migrants worldwide and the growing gender gap has increased over the past 20 years. In 2000, the male to female split was 50.6 to 49.4 per cent (or 88 million male migrants and 86 million female migrants). In 2020 the split was 51.9 to 48.1 per cent, with 146 million male migrants and 135 million female migrants. The share of

  7. N

    United States Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). United States Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in United States from 2000 to 2024 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/united-states-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    United States
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2024, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2024. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2024. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the United States population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of United States across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2024, the population of United States was 340.11 million, a 0.98% increase year-by-year from 2023. Previously, in 2023, United States population was 336.81 million, an increase of 0.83% compared to a population of 334.02 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of United States increased by 57.95 million. In this period, the peak population was 340.11 million in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2024

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2024)
    • Population: The population for the specific year for the United States is shown in this column.
    • Year on Year Change: This column displays the change in United States population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for United States Population by Year. You can refer the same here

  8. Total population of India 2030

    • statista.com
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    Statista, Total population of India 2030 [Dataset]. https://www.statista.com/statistics/263766/total-population-of-india/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The statistic shows the total population of India from 2020 to 2030. In 2024, the estimated total population in India amounted to approximately 1.44 billion people. Total population in India India currently has the second-largest population in the world and is projected to overtake top-ranking China within forty years. Its residents comprise more than one-seventh of the entire world’s population, and despite a slowly decreasing fertility rate (which still exceeds the replacement rate and keeps the median age of the population relatively low), an increasing life expectancy adds to an expanding population. In comparison with other countries whose populations are decreasing, such as Japan, India has a relatively small share of aged population, which indicates the probability of lower death rates and higher retention of the existing population. With a land mass of less than half that of the United States and a population almost four times greater, India has recognized potential problems of its growing population. Government attempts to implement family planning programs have achieved varying degrees of success. Initiatives such as sterilization programs in the 1970s have been blamed for creating general antipathy to family planning, but the combined efforts of various family planning and contraception programs have helped halve fertility rates since the 1960s. The population growth rate has correspondingly shrunk as well, but has not yet reached less than one percent growth per year. As home to thousands of ethnic groups, hundreds of languages, and numerous religions, a cohesive and broadly-supported effort to reduce population growth is difficult to create. Despite that, India is one country to watch in coming years. It is also a growing economic power; among other measures, its GDP per capita was expected to triple between 2003 and 2013 and was listed as the third-ranked country for its share of the global gross domestic product.

  9. Forecast: world population, by continent 2100

    • statista.com
    • botflix.ru
    Updated Nov 28, 2025
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    Statista (2025). Forecast: world population, by continent 2100 [Dataset]. https://www.statista.com/statistics/272789/world-population-by-continent/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Whereas the population is expected to decrease somewhat until 2100 in Asia, Europe, and South America, it is predicted to grow significantly in Africa. While there were 1.55 billion inhabitants on the continent at the beginning of 2025, the number of inhabitants is expected to reach 3.81 billion by 2100. In total, the global population is expected to reach nearly 10.18 billion by 2100. Worldwide population In the United States, the total population is expected to steadily increase over the next couple of years. In 2024, Asia held over half of the global population and is expected to have the highest number of people living in urban areas in 2050. Asia is home to the two most populous countries, India and China, both with a population of over one billion people. However, the small country of Monaco had the highest population density worldwide in 2024. Effects of overpopulation Alongside the growing worldwide population, there are negative effects of overpopulation. The increasing population puts a higher pressure on existing resources and contributes to pollution. As the population grows, the demand for food grows, which requires more water, which in turn takes away from the freshwater available. Concurrently, food needs to be transported through different mechanisms, which contributes to air pollution. Not every resource is renewable, meaning the world is using up limited resources that will eventually run out. Furthermore, more species will become extinct which harms the ecosystem and food chain. Overpopulation was considered to be one of the most important environmental issues worldwide in 2020.

  10. U

    U.S. Commission on Population Growth and the American Future (KAP survey...

    • dataverse-staging.rdmc.unc.edu
    pdf, txt
    Updated Nov 30, 2007
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    Sushil Kumar; Sushil Kumar (2007). U.S. Commission on Population Growth and the American Future (KAP survey no.8607) [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/D-627
    Explore at:
    txt(276696), pdf(931684)Available download formats
    Dataset updated
    Nov 30, 2007
    Dataset provided by
    UNC Dataverse
    Authors
    Sushil Kumar; Sushil Kumar
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/D-627https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/D-627

    Area covered
    United States
    Description

    "This study deals primarily with the individual's preferences and opinions on population growth and family planning. Questions asked can be broken down into three categories: 1) family planning, including the ideal number of children, adoption of children, birth control information, abortion and sterilization; 2) social problems that stem from population size such as growth of cities and pollution problems; and 3) perception of population size in U.S. and other countries, including satisfacti on with present community and its size, and the part the government should play in population control."

  11. f

    Appendix A. Population growth rate bias and mean-square error in the...

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    • +1more
    Updated Aug 4, 2016
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    Duchamp, Christophe; Marescot, Lucile; Gimenez, Olivier; Miquel, Christian; Cubaynes, Sarah; Choquet, Rémi; Pradel, Roger; Marboutin, Eric (2016). Appendix A. Population growth rate bias and mean-square error in the heterogeneous model and the homogeneous model fitted to simulated data. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001519923
    Explore at:
    Dataset updated
    Aug 4, 2016
    Authors
    Duchamp, Christophe; Marescot, Lucile; Gimenez, Olivier; Miquel, Christian; Cubaynes, Sarah; Choquet, Rémi; Pradel, Roger; Marboutin, Eric
    Description

    Population growth rate bias and mean-square error in the heterogeneous model and the homogeneous model fitted to simulated data.

  12. N

    Utah Annual Population and Growth Analysis Dataset: A Comprehensive Overview...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Utah Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Utah from 2000 to 2024 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/utah-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Utah
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2024, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2024. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2024. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Utah population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Utah across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2024, the population of Utah was 3.5 million, a 1.75% increase year-by-year from 2023. Previously, in 2023, Utah population was 3.44 million, an increase of 1.54% compared to a population of 3.39 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of Utah increased by 1.26 million. In this period, the peak population was 3.5 million in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2024

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2024)
    • Population: The population for the specific year for the Utah is shown in this column.
    • Year on Year Change: This column displays the change in Utah population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Utah Population by Year. You can refer the same here

  13. Total population of China 1980-2030

    • statista.com
    Updated Oct 28, 2025
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    Statista (2025). Total population of China 1980-2030 [Dataset]. https://www.statista.com/statistics/263765/total-population-of-china/
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    Dataset updated
    Oct 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to latest figures, the Chinese population decreased by 1.39 million to around 1.408 billion people in 2024. After decades of rapid growth, China arrived at the turning point of its demographic development in 2022, which was earlier than expected. The annual population decrease is estimated to remain at moderate levels until around 2030 but to accelerate thereafter. Population development in China China had for a long time been the country with the largest population worldwide, but according to UN estimates, it has been overtaken by India in 2023. As the population in India is still growing, the country is very likely to remain being home of the largest population on earth in the near future. Due to several mechanisms put into place by the Chinese government as well as changing circumstances in the working and social environment of the Chinese people, population growth has subsided over the past decades, displaying an annual population growth rate of -0.1 percent in 2024. Nevertheless, compared to the world population in total, China held a share of about 17 percent of the overall global population in 2024. China's aging population In terms of demographic developments, the birth control efforts of the Chinese government had considerable effects on the demographic pyramid in China. Upon closer examination of the age distribution, a clear trend of an aging population becomes visible. In order to curb the negative effects of an aging population, the Chinese government abolished the one-child policy in 2015, which had been in effect since 1979, and introduced a three-child policy in May 2021. However, many Chinese parents nowadays are reluctant to have a second or third child, as is the case in most of the developed countries in the world. The number of births in China varied in the years following the abolishment of the one-child policy, but did not increase considerably. Among the reasons most prominent for parents not having more children are the rising living costs and costs for child care, growing work pressure, a growing trend towards self-realization and individualism, and changing social behaviors.

  14. Predicting population age structures of China, India, and Vietnam by 2030...

    • plos.figshare.com
    png
    Updated May 31, 2023
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    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang (2023). Predicting population age structures of China, India, and Vietnam by 2030 based on compositional data [Dataset]. http://doi.org/10.1371/journal.pone.0212772
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    pngAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang
    License

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

    Area covered
    Vietnam, India, China
    Description

    The changing population age structure has a significant influence on the economy, society, and numerous other aspects of a country. This paper has innovatively applied the method of compositional data forecasting for the prediction of population age changes of the young (aged 0–14), the middle-aged (aged 15–64), and the elderly (aged older than 65) in China, India, and Vietnam by 2030 based on data from 1960 to 2016. To select the best-suited forecasting model, an array of data transformation approaches and forecasting models have been extensively employed, and a large number of comparisons have been made between the aforementioned methods. The best-suited model for each country is identified considering the root mean squared error and mean absolute percent error values from the compositional data. As noted in this study, first and foremost, it is predicted that by the year 2030, China will witness the disappearance of population dividend and get mired in an aging problem far more severe than that of India or Vietnam. Second, Vietnam’s trend of change in population age structure resembles that of China, but the country will sustain its good health as a whole. Finally, the working population of India demonstrates a strong rising trend, indicating that the age structure of the Indian population still remains relatively “young”. Meanwhile, the continuous rise in the proportion of elderly population and the gradual leveling off growth of the young population have nevertheless become serious problems in the world. The present paper attempts to offer crucial insights into the Asian population size, labor market and urbanization, and, moreover, provides suggestions for a sustainable global demographic development.

  15. N

    Chesterfield County, VA Population Growth and Demographic Trends Dataset:...

    • neilsberg.com
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Chesterfield County, VA Population Growth and Demographic Trends Dataset: Annual Editions Collection // Editions 2000-2024 [Dataset]. https://www.neilsberg.com/research/datasets/bc21f4a1-55e4-11ee-9c55-3860777c1fe6/
    Explore at:
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Chesterfield County, Virginia
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Chesterfield County population by year. The dataset can be utilized to understand the population trend of Chesterfield County.

    Content

    The dataset constitues the following datasets

    • Chesterfield County, VA Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  16. Annual population growth in India 1961-2023

    • statista.com
    Updated Apr 25, 2014
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    Statista (2014). Annual population growth in India 1961-2023 [Dataset]. https://www.statista.com/statistics/271308/population-growth-in-india/
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    Dataset updated
    Apr 25, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2023, the annual population growth in India was 0.88 percent. Between 1961 and 2023, the figure dropped by 1.52 percentage points, though the decline followed an uneven course rather than a steady trajectory.

  17. Distribution of the global population by continent 2024

    • statista.com
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    Statista, Distribution of the global population by continent 2024 [Dataset]. https://www.statista.com/statistics/237584/distribution-of-the-world-population-by-continent/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

  18. Annual population growth in the Philippines 1961-2023

    • statista.com
    Updated Apr 15, 2025
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    Statista (2025). Annual population growth in the Philippines 1961-2023 [Dataset]. https://www.statista.com/statistics/268716/population-growth-of-the-philippines-from-1990-to-2008/
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    In 2023, the annual population growth in the Philippines was 0.81 percent. Between 1961 and 2023, the figure dropped by 2.37 percentage points, though the decline followed an uneven course rather than a steady trajectory.

  19. N

    Minnesota Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Minnesota Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Minnesota from 2000 to 2024 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/minnesota-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2024, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2024. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2024. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Minnesota population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Minnesota across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2024, the population of Minnesota was 5.79 million, a 0.70% increase year-by-year from 2023. Previously, in 2023, Minnesota population was 5.75 million, an increase of 0.55% compared to a population of 5.72 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of Minnesota increased by 859,412. In this period, the peak population was 5.79 million in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2024

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2024)
    • Population: The population for the specific year for the Minnesota is shown in this column.
    • Year on Year Change: This column displays the change in Minnesota population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Minnesota Population by Year. You can refer the same here

  20. Population growth rate in Africa 2000-2030

    • statista.com
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    Statista, Population growth rate in Africa 2000-2030 [Dataset]. https://www.statista.com/statistics/1224179/population-growth-in-africa/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    In 2024, the population of Africa was projected to grow by 2.27 percent compared to the previous year. The population growth rate on the continent has been constantly over 2.5 percent from 2000 onwards, and it peaked at 2.63 percent in 2013. Despite a slowdown in the growth rate after that, the continent's population will continue to increase significantly in the coming years. The second-largest population worldwide In 2023, the total population of Africa amounted to almost 1.5 billion. The number of inhabitants had grown steadily in the previous decades, rising from approximately 831 million in 2000. Driven by a decreasing mortality rate and a higher life expectancy at birth, the African population was forecast to increase to about 2.5 billion individuals by 2050. Africa is currently the second most populous continent worldwide after Asia. However, forecasts showed that Africa could gradually close the gap and almost reach the size of the Asian population in 2100. By that year, Africa might count 3.8 billion people, compared to 4.6 billion in Asia. The world's youngest continent The median age in Africa corresponded to 19.2 years in 2024. Although the median age has increased in recent years, the continent remains the youngest worldwide. In 2023, roughly 40 percent of the African population was aged 15 years and younger, compared to a global average of 25 percent. Africa recorded not only the highest share of youth but also the smallest elderly population worldwide. As of the same year, only three percent of Africa's population was aged 65 years and older. Africa and Latin America were the only regions below the global average of ten percent. On the continent, Niger, Uganda, and Angola were the countries with the youngest population in 2023.

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Statista, Countries with the highest population growth rate 2024 [Dataset]. https://www.statista.com/statistics/264687/countries-with-the-highest-population-growth-rate/
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Countries with the highest population growth rate 2024

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11 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
Worldwide
Description

This statistic shows the 20 countries with the highest population growth rate in 2024. In SouthSudan, the population grew by about 4.65 percent compared to the previous year, making it the country with the highest population growth rate in 2024. The global population Today, the global population amounts to around 7 billion people, i.e. the total number of living humans on Earth. More than half of the global population is living in Asia, while one quarter of the global population resides in Africa. High fertility rates in Africa and Asia, a decline in the mortality rates and an increase in the median age of the world population all contribute to the global population growth. Statistics show that the global population is subject to increase by almost 4 billion people by 2100. The global population growth is a direct result of people living longer because of better living conditions and a healthier nutrition. Three out of five of the most populous countries in the world are located in Asia. Ultimately the highest population growth rate is also found there, the country with the highest population growth rate is Syria. This could be due to a low infant mortality rate in Syria or the ever -expanding tourism sector.

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