This statistic shows the 20 countries with the highest population growth rate in 2025. In South Sudan, the population grew by about 4.52 percent compared to the previous year, making it the country with the highest population growth rate in 2025. The global population Today, the global population amounts to around 8 billion people, i.e., the total number of living humans on Earth. More than half of the global population lives 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 expected 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 healthier nutrition. Finally, three out of five of the most populous countries in the world are located in Asia.

The average for 2024 based on 196 countries was 1.19 percent. The highest value was in Qatar: 7.32 percent and the lowest value was in Moldova: -2.28 percent. The indicator is available from 1961 to 2024. Below is a chart for all countries where data are available.

The European countries which saw the greatest population growth in 2025 were Gibraltar, Kosovo and Iceland. Overall, Europe's population declined by 3.3 percent in 2025, with this varying by region from a 0.19 percent decline in northern Europe to 4.6 percent in southern Europe. All the countries which saw the largest declines in their population in 2025 were central and eastern European countries.

In 2023, Chad ranked first by annual population growth among the 54 countries presented in the ranking. Chad's population growth amounted to **** percent, while South Sudan and Niger, the second and third countries, had records amounting to **** percent and **** percent, respectively.

Lithuania had the fastest-growing population in Central and Eastern Europe (CEE), at an annual rate of 1.14 percent in 2022. Estonia ranked second, with the population growth of 1.03 percent year-on-year. In most CEE countries, the population marked a decrease from the previous year. Ukraine reported the most dramatic population decline, at nearly 14.2 percent.

From now until 2100, India and China will remain the most populous countries in the world, however China's population decline has already started, and it is on course to fall by around 50 percent in the 2090s; while India's population decline is projected to begin in the 2060s. Of the 10 most populous countries in the world in 2100, five will be located in Asia, four in Africa, as well as the United States. Rapid growth in Africa Rapid population growth across Africa will see the continent's population grow from around 1.5 billion people in 2024 to 3.8 billion in 2100. Additionally, unlike China or India, population growth in many of these countries is not expected to go into decline, and instead is expected to continue well into the 2100s. Previous estimates had projected these countries' populations would be much higher by 2100 (the 2019 report estimated Nigeria's population would exceed 650 million), yet the increased threat of the climate crisis and persistent instability is delaying demographic development and extending population growth. The U.S. as an outlier Compared to the nine other largest populations in 2100, the United States stands out as it is more demographically advanced, politically stable, and economically stronger. However, while most other so-called "advanced countries" are projected to see their population decline drastically in the coming decades, the U.S. population is projected to continue growing into the 2100s. This will largely be driven by high rates of immigration into the U.S., which will drive growth despite fertility rates being around 1.6 births per woman (below the replacement level of 2.1 births per woman), and the slowing rate of life expectancy. Current projections estimate the U.S. will have a net migration rate over 1.2 million people per year for the remainder of the century.

The increased world population is among the fierce problems the world is facing right now and it will get uncontrolled in the coming future if proper steps for its betterment were not taken immediately. This world has observed the fastest growth during the 20th century. In the 1950s world population was 2.7 billion, By the end of this year it will cross 8 billion. This dataset is uploaded with the assumption to use your Data Science, Machine learning, and Predictive analytics skills and answer the following questions. 1. Which countries have the highest growth rate. 2. What are the densely populated countries in the world. 3. Keeping in view all the variables in mind which countries should take serious steps to control their population.

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.

Kaggle Dataset Description

Title: Population Growth (Annual %)
Subtitle: Exploring global trends in population dynamics and growth.

Detailed Description:
This dataset contains data on annual population growth rate, calculated as the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage. It is based on the de facto definition of population, which includes all residents regardless of legal status or citizenship.

Key Highlights: - Metric: Annual population growth rate (%).
- Source: Derived from total population data provided by the World Bank and other reputable sources like the United Nations and Eurostat.
- Periodicity: Annual.
- Use Cases: Analyze trends, compare regions, and explore relationships with other demographic or economic factors.
- License: CC BY-4.0 (License URL).

4. Exploratory Data Analysis (EDA)

Notebook Ideas

1. Data Cleaning:

   • Handle missing or inconsistent data points.
   • Normalize data for regional comparisons.
   • Aggregate data by region or income levels for better analysis.

2. Visualizations:

   • Line Graph: Trends in population growth rates over time for selected countries.
   • Heatmap: Regional disparities in population growth by year.
   • Scatterplot: Correlation between population growth and GDP, literacy, or health indicators.
   • Bar Chart: Top and bottom countries by population growth for a given year.

3. Descriptive Analysis:

   • Identify regions with the highest and lowest growth rates.
   • Highlight countries with the fastest-changing trends.
   • Compare population growth rates in developed vs. developing countries.

5. Predictive Analysis (Optional)

• Use time-series forecasting (e.g., ARIMA or Prophet) to predict future population growth rates for specific regions.
• Apply clustering algorithms to group countries with similar growth trends.

6. Kaggle Notebook

Create a Kaggle notebook with:
1. Data Cleaning: Show how missing or inconsistent values are handled.
2. EDA: Include compelling visualizations like heatmaps, scatterplots, and line charts.
3. Insights: Highlight findings, such as regions with the highest growth rates or surprising trends.
4. Optional Predictive Modeling: Use regression or time-series models to forecast future population trends.

7. Call to Action

For GitHub:

• Share the GitHub repository link on LinkedIn, Twitter, and forums like Reddit (e.g., r/datascience).
• Invite collaboration:
  • "Fork this repository to add your analyses or insights!"

GitHub Link: https://github.com/AmsalAli/Population_Growth_Trends

For Kaggle:

• Encourage upvotes:
  • "If you find this dataset helpful, please upvote it to help others discover it!"
• Engage users with questions:
  • "Which countries are experiencing the fastest population growth?"
  • "What factors contribute to population growth in different regions?"

Kaggle Link: https://www.kaggle.com/datasets/yourusername/population-growth-annual

8. LinkedIn Post

Post Title:
🌍 Global Trends in Population Growth 📈

Post Body:
I’m excited to share my latest dataset on annual population growth rates, sourced from the World Bank. This dataset provides valuable insights into global demographic trends and population dynamics across decades.

📂 Explore the Dataset:
- GitHub Repository: https://github.com/AmsalAli/Population_Growth_Trends
- Kaggle Dataset: https://www.kaggle.com/datasets/yourusername/population-growth-annual

Why It Matters:

Population growth is a key indicator of demographic change and socio-economic development. This dataset is ideal for:
- Trend Analysis: Track changes in population growth rates globally.
- Regional Comparisons: Explore disparities in growth rates across regions.
- Correlations: Study relationships between population growth and GDP, health, or literacy.

📈 Get Involved:
- Use this dataset for your analyses and visualizations.
- Share your findings and insights.
- Upvote the Kaggle dataset to help others discover it!

❓ What trends or correlations can you uncover from this data?
- Which regions are growing the fastest?
- How does population growth correlate with economic development?

Let me know your thoughts, and ...

Uzbekistan had the highest annual population growth rate among the countries of the Commonwealth of Independent States (CIS), at 2.12 percent in 2023. Tajikistan followed with almost two percent year-over-year. While most countries in the region reported positive population growth rates, in some, the number of residents declined, such as by approximately a quarter of a percent in both Russia and Azerbaijan.

A compact collection of 7 CSV files containing country-level population data, organized by continent and region: Asia, Africa, Europe, North America, South America, Oceania, and the Caribbean. The dataset is structured for clarity and ease of use, making it well-suited for beginner to intermediate exploratory data analysis (EDA). Each file enables region-specific analysis while also supporting cross-continent comparisons.

Ideal use cases include: - Population ranking and comparison across countries and regions - Growth rate analysis and demographic trend exploration - Data visualization (bar charts, maps, dashboards) - Academic projects, data science practice, and portfolio building - Feature engineering and preprocessing exercises The dataset is provided in clean CSV format, allowing seamless integration with Python, R, Excel, Power BI, Tableau, and other analytics tools.

The West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050 data set is based on an unreleased working version of the Gridded Population of the World (GPW), Version 4, year 2010 population count raster but at a coarser 5 arc-minute resolution. Bryan Jones of Baruch College produced country-level projections based on the Shared Socioeconomic Pathway 4 (SSP4). SSP4 reflects a divided world where cities that have relatively high standards of living, are attractive to internal and international migrants. In low income countries, rapidly growing rural populations live on shrinking areas of arable land due to both high population pressure and expansion of large-scale mechanized farming by international agricultural firms. This pressure induces large migration flow to the cities, contributing to fast urbanization, although urban areas do not provide many opportUnities for the poor and there is a massive expansion of slums and squatter settlements. This scenario may not be the most likely for the West Africa region, but it has internal coherence and is at least plausible.

The world population surpassed eight billion people in 2022, having doubled from its figure less than 50 years previously. Looking forward, it is projected that the world population will reach nine billion in 2038, and 10 billion in 2060, but it will peak around 10.3 billion in the 2080s before it then goes into decline. Regional variations The global population has seen rapid growth since the early 1800s, due to advances in areas such as food production, healthcare, water safety, education, and infrastructure, however, these changes did not occur at a uniform time or pace across the world. Broadly speaking, the first regions to undergo their demographic transitions were Europe, North America, and Oceania, followed by Latin America and Asia (although Asia's development saw the greatest variation due to its size), while Africa was the last continent to undergo this transformation. Because of these differences, many so-called "advanced" countries are now experiencing population decline, particularly in Europe and East Asia, while the fastest population growth rates are found in Sub-Saharan Africa. In fact, the roughly two billion difference in population between now and the 2080s' peak will be found in Sub-Saharan Africa, which will rise from 1.2 billion to 3.2 billion in this time (although populations in other continents will also fluctuate). Changing projections The United Nations releases their World Population Prospects report every 1-2 years, and this is widely considered the foremost demographic dataset in the world. However, recent years have seen a notable decline in projections when the global population will peak, and at what number. Previous reports in the 2010s had suggested a peak of over 11 billion people, and that population growth would continue into the 2100s, however a sooner and shorter peak is now projected. Reasons for this include a more rapid population decline in East Asia and Europe, particularly China, as well as a prolonged development arc in Sub-Saharan Africa.

The burden of animal disease is widespread globally and is especially severe for developing countries dependent on livestock production. Ethiopia has the largest livestock population in Africa and the second-largest human population on the continent. Ethiopia is one of the fastest-growing economies in Africa; however, much of the population still lives in extreme poverty, and most households depend on agriculture. Animal disease negatively affects domestic livestock production and limits growth potential across the domestic agricultural supply chain. This research investigates the economic effects of livestock disease burden in Ethiopia by employing a computable general equilibrium model in tandem with animal health loss estimates from a compartmental livestock population model. Two scenarios for disease burden are simulated to understand the effects of improved animal health on domestic production, prices, trade, gross domestic product (GDP), and economic welfare in Ethiopia. Results show that improved animal health may increase Ethiopian GDP by up to 3.6%, which improves national welfare by approximately $US 2.5 billion. This research illustrates the economic effects of improved livestock health, which is critical for Ethiopian households and the national economy.

Название: Population ages 0-14, total Тема: Health: Population: Structure Периодичность: Annual Единица измерения: Unit Описание: Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. Источник: Staff estimates, World Bank (WB), note: Staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects., publisher: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's data.; World Population Prospects, United Nations (UN), publisher: UN Population Division Методология: Methodology: Estimates are calculated using the World Bank's total population and age/sex distributions of the population in United Nations Population Division's World Population Prospects. Statistical concept(s): Estimates of population by age and/or sex describe the size of the population in the category. Population estimates are dependent on the demographic components of change that are fertility, mortality and migration. As the size of population continues to change throughout the time even within a year, a reference time in the year that the estimate refers to is needed, such as mid-year, end-year or beginning of year. The values shown are midyear estimates. Значимость: Patterns of development in a country are partly determined by the age composition of its population. Different age groups have different impacts on both the environment and on infrastructure needs. Therefore the age structure of a population is useful for analyzing resource use and formulating future policy and planning goals with regards infrastructure and development. This indicator is used for calculating age dependency ratio (percent of working-age population). The age dependency ratio is the ratio of the sum of the population aged 0-14 and the population aged 65 and above to the population aged 15-64. In many developing countries, the once rapidly growing population group of the under-15 population is shrinking. As a result, high fertility rates, together with declining mortality rates, are now reflected in the larger share of the 65 and older population. Период данных: 1960-2024 Метод агрегации: Sum Лицензия: CC BY-4.0 (https://datacatalog.worldbank.org/public-licenses#cc-by) Код индикатора: SP.POP.0014.TO Датасет содержит следующие поля: Код индикатора (indicator_id) — Уникальный идентификатор индикатора Всемирного банка Название индикатора (indicator_name) — Полное название индикатора на английском языке Код страны (country_id) — Уникальный идентификатор страны (код Всемирного банка) Название страны (country_name) — Полное название страны или региона на английском языке ISO3 код страны (countryiso3code) — Трехбуквенный код страны по стандарту ISO 3166-1 alpha-3 Дата (date) — Год или дата наблюдения (в формате строки, обычно YYYY) Значение (value) — Численное значение показателя (может быть пустым для отсутствующих данных) (единица измерения: Unit) Единица измерения (unit) — Единица измерения значения показателя (например, проценты, доллары США) Статус наблюдения (obs_status) — Статус данных наблюдения (может быть пустым для валидных данных) Количество знаков после запятой (decimal) — Количество десятичных знаков для отображения значения Страны и регионы: Afghanistan, Africa Eastern and Southern, Africa Western and Central, Albania, Algeria, American Samoa, Andorra, Angola, Antigua and Barbuda, Arab World, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, The, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bermuda, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, British Virgin Islands, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Caribbean small states, Cayman Islands, Central African Republic, Central Europe and the Baltics, Chad, Channel Islands, Chile, China, Colombia, Comoros, Congo, Dem. Rep., Congo, Rep., Costa Rica, Cote d'Ivoire, Croatia, Cuba, Curacao, Cyprus, Czechia, Denmark, Djibouti, Dominica, Dominican Republic, Early-demographic dividend, East Asia & Pacific, East Asia & Pacific (IDA & IBRD countries), East Asia & Pacific (excluding high income), Ecuador, Egypt, Arab Rep., El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Euro area, Europe & Central Asia, Europe & Central Asia (IDA & IBRD countries), Europe & Central Asia (excluding high income), European Union, Faroe Islands, Fiji, Finland, Fragile and conflict affected situations, France, French Polynesia, Gabon, Gambia, The, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Grenada, Guam, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Heavily indebted poor countries (HIPC), High income, Honduras, Hong Kong SAR, China, Hungary, IBRD only, IDA & IBRD total, IDA blend, IDA only, IDA total, Iceland, India, Indonesia, Iran, Islamic Rep., Iraq, Ireland, Isle of Man, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Korea, Dem. People's Rep., Korea, Rep., Kosovo, Kuwait, Kyrgyz Republic, Lao PDR, Late-demographic dividend, Latin America & Caribbean, Latin America & Caribbean (excluding high income), Latin America & the Caribbean (IDA & IBRD countries), Latvia, Least developed countries: UN classification, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Low & middle income, Low income, Lower middle income, Luxembourg, Macao SAR, China, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Fed. Sts., Middle East & North Africa, Middle East & North Africa (IDA & IBRD countries), Middle East & North Africa (excluding high income), Middle income, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Caledonia, New Zealand, Nicaragua, Niger, Nigeria, North America, North Macedonia, Northern Mariana Islands, Norway, Not classified, OECD members, Oman, Other small states, Pacific island small states, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Post-demographic dividend, Pre-demographic dividend, Puerto Rico, Qatar, Romania, Russian Federation, Rwanda, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Sint Maarten (Dutch part), Slovak Republic, Slovenia, Small states, Solomon Islands, Somalia, South Africa, South Asia, South Asia (IDA & IBRD), South Sudan, Spain, Sri Lanka, St. Kitts and Nevis, St. Lucia, St. Martin (French part), St. Vincent and the Grenadines, Sub-Saharan Africa, Sub-Saharan Africa (IDA & IBRD countries), Sub-Saharan Africa (excluding high income), Sudan, Suriname, Sweden, Switzerland, Syrian Arab Republic, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkiye, Turkmenistan, Turks and Caicos Islands, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Upper middle income, Uruguay, Uzbekistan, Vanuatu, Venezuela, RB, Viet Nam, Virgin Islands (U.S.), West Bank and Gaza, World, Yemen, Rep., Zambia, Zimbabwe Название: Population ages 0-14, total Тема: Health: Population: Structure Периодичность: Annual Единица измерения: Unit Описание: Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. Источник: Staff estimates, World Bank (WB), note: Staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects., publisher: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's data.; World Population Prospects, United Nations (UN), publisher: UN Population Division Методология: Methodology: Estimates are calculated using the World Bank's total population and age/sex distributions of the population in United Nations Population Division's World Population Prospects. Statistical concept(s): Estimates of population by age and/or sex describe the size of the population in the category. Population estimates are dependent on the demographic components of change that are fertility, mortality and migration. As the size of population continues to change throughout the time even within a year, a reference time in the year that the estimate refers to is needed, such as mid-year, end-year or beginning of year. The values shown are midyear estimates. Значимость: Patterns of development in a country are partly determined by the age composition of its population. Different age groups have different impacts on both the environment and on infrastructure needs. Therefore the age structure of a population is useful for analyzing resource use and formulating future policy and planning goals with regards infrastructure and development. This indicator

Название: Population ages 0-14, male (% of male population) Тема: Health: Population: Structure Периодичность: Annual Единица измерения: Percentage Описание: Male population between the ages 0 to 14 as a percentage of the total male population. Population is based on the de facto definition of population. Источник: World Population Prospects, United Nations (UN), publisher: UN Population Division Методология: Methodology: Population structure by age and sex in the World Bank's estimates is based on age/sex distributions of the population in United Nations Population Division's World Population Prospects. Statistical concept(s): Proportion of population by age and/or sex describes the proportion of the population in the category out of total (or male total or female total). Population estimates are dependent on the demographic components of change that are fertility, mortality and migration. As the age/sex distribution of population continues to change throughout the time even within a year, a reference time in the year that the estimate refers to is needed, such as mid-year, end-year or beginning of year. The values shown are midyear estimates. Значимость: Patterns of development in a country are partly determined by the age composition of its population. Different age groups have different impacts on both the environment and on infrastructure needs. Therefore the age structure of a population is useful for analyzing resource use and formulating future policy and planning goals with regards infrastructure and development. This indicator is used for calculating age dependency ratio (percent of working-age population). The age dependency ratio is the ratio of the sum of the population aged 0-14 and the population aged 65 and above to the population aged 15-64. In many developing countries, the once rapidly growing population group of the under-15 population is shrinking. As a result, high fertility rates, together with declining mortality rates, are now reflected in the larger share of the 65 and older population. Период данных: 1960-2024 Метод агрегации: Weighted average Лицензия: CC BY-4.0 (https://datacatalog.worldbank.org/public-licenses#cc-by) Код индикатора: SP.POP.0014.MA.ZS Датасет содержит следующие поля: Код индикатора (indicator_id) — Уникальный идентификатор индикатора Всемирного банка Название индикатора (indicator_name) — Полное название индикатора на английском языке Код страны (country_id) — Уникальный идентификатор страны (код Всемирного банка) Название страны (country_name) — Полное название страны или региона на английском языке ISO3 код страны (countryiso3code) — Трехбуквенный код страны по стандарту ISO 3166-1 alpha-3 Дата (date) — Год или дата наблюдения (в формате строки, обычно YYYY) Значение (value) — Численное значение показателя (может быть пустым для отсутствующих данных) (единица измерения: Percentage) Единица измерения (unit) — Единица измерения значения показателя (например, проценты, доллары США) Статус наблюдения (obs_status) — Статус данных наблюдения (может быть пустым для валидных данных) Количество знаков после запятой (decimal) — Количество десятичных знаков для отображения значения Название: Population ages 0-14, male (% of male population) Тема: Health: Population: Structure Периодичность: Annual Единица измерения: Percentage Описание: Male population between the ages 0 to 14 as a percentage of the total male population. Population is based on the de facto definition of population. Источник: World Population Prospects, United Nations (UN), publisher: UN Population Division Методология: Methodology: Population structure by age and sex in the World Bank's estimates is based on age/sex distributions of the population in United Nations Population Division's World Population Prospects. Statistical concept(s): Proportion of population by age and/or sex describes the proportion of the population in the category out of total (or male total or female total). Population estimates are dependent on the demographic components of change that are fertility, mortality and migration. As the age/sex distribution of population continues to change throughout the time even within a year, a reference time in the year that the estimate refers to is needed, such as mid-year, end-year or beginning of year. The values shown are midyear estimates. Значимость: Patterns of development in a country are partly determined by the age composition of its population. Different age groups have different impacts on both the environment and on infrastructure needs. Therefore the age structure of a population is useful for analyzing resource use and formulating future policy and planning goals with regards infrastructure and development. This indicator is used for calculating age dependency ratio (percent of working-age population). The age dependency ratio is the ratio of the sum of the population aged 0-14 and the population aged 65 and above to the population aged 15-64. In many developing countries, the once rapidly growing population group of the under-15 population is shrinking. As a result, high fertility rates, together with declining mortality rates, are now reflected in the larger share of the 65 and older population. Период данных: 1960-2024 Метод агрегации: Weighted average Лицензия: CC BY-4.0 (https://datacatalog.worldbank.org/public-licenses#cc-by) Код индикатора: SP.POP.0014.MA.ZS

Spain Demographic Trends

Population, Migration, and Age Trends from 1955 to 2050

By [source]

About this dataset

This dataset provides an in-depth look into the demographic information for Spain. It includes trends in population, migration, and age from 1955 to 2050. This dataset can provide understanding into the growth of Spain which has been marked as one of the fastest-growth developing countries. It reveals important statistics such as population numbers, yearly change percentages, fertility rate figures, density of people per square kilometer and more across all ages over a considerable period of time. Furthermore, it also outlines aspects such World Population Total and Country’s Share of World Pop with each country’s global rank among other nations. It will be useful for those wanting to gain insight into specific populations numbers that shape the Spanish culture today

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides comprehensive information about the demographic trends in Spain from 1955 to 2050, including population, migration, urbanization, age and fertility rates. This data can be utilized to gain a better understanding of population structure changes of Spain over time and helps answer some important questions such as: What is the overall trend in population growth? How has migration affected population change? How is the median age changing?

To make the most effective use of this dataset you should begin by exploring each column one by one. You can see an overview of each year's data using summary statistics like mean, median or mode which can help you identify any interesting trends that might exist among these metrics. Next investigate how each statistic has changed over time by creating a line graph for each of them. These visualizations will help you compare different variables side-by-side and better understand their relationships with one another. Finally, analyze all observations together to form your conclusions about demographic patterns in Spain from 1955 to 2050 and how they have impacted its overall population makeup

Research Ideas

• To calculate the rate of population growth over the years and predict future population levels in Spain.
• To analyze migration trends of people from abroad moving to Spain and compare it to those of Spanish citizens leaving or entering the country.
• To study age trends in Spain, including median age for both general population and specific regions within the country, as well as fertility rates/birth rates for each demographic group/region

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Population_of_Spain_Historical.csv | Column name | Description | |:---------------------------------|:------------------------------------------------------------------------------| | Year | Year of the data point. (Integer) | | Population | Total population of Spain in a given year. (Integer) | | Yearly% Change | Percentage change in population from the previous year. (Float) | | Yearly Change | Change in population from the previous year. (Integer) | | Migrants (net) | Net migration rate of Spain in a given year. (Integer) | | Median Age | Median age of the population in a given year. (Float) | | Fertiliy Rate | Fertility rate of citizens in a given year. (Float) | | Density(/km2) | Population density of Spain in a given year. (Float) | | Urban Pop | Percentage of population living in urban areas in a given year. (Float) | | Urban Population | Population living in urban areas in a given year. (Integer) | | Country's Share of World Pop | Percentage ...

🧾 About Dataset

🌍 Global GDP by Country — 2024 Edition

📖 Overview

The Global GDP by Country (2024) dataset provides an up-to-date snapshot of worldwide economic performance, summarizing each country’s nominal GDP, growth rate, population, and global economic contribution.

This dataset is ideal for economic analysis, data visualization, policy modeling, and machine learning applications related to global development and financial forecasting.

📊 Dataset Information

• Total Records: 181 countries
• Time Period: 2024 (latest available global data)
• Geographic Coverage: Worldwide
• File Format: CSV
• File Size: ~10 KB
• Missing Values: None (100% complete dataset)

🎯 Target Use-Cases:
- Economic growth trend analysis
- GDP-based country clustering
- Per capita wealth comparison
- Share of world economy visualization

🧩 Key Features

📈 Statistical Summary

Population Overview

• Mean Population: 43.6 million
• Standard Deviation: 155.5 million
• Minimum Population: 9,816 (small island nations)
• Median Population: 9.1 million
• Maximum Population: 1.43 billion (China)

🌟 Highlights

💰 Top Economies (Nominal GDP):
United States, China, Japan, Germany, India

📈 Fastest Growing Economies:
India, Bangladesh, Vietnam, and Rwanda

🌐 Global Insights:
- The dataset covers 181 countries representing 100% of global GDP.
- Suitable for data visualization dashboards, AI-driven economic forecasting, and educational research.

💡 Example Use-Cases

• Build a choropleth map showing GDP distribution across continents.
• Train a regression model to predict GDP per capita based on population and growth.
• Compare economic inequality using population vs GDP share.

📚 Dataset Citation

Source: Worldometers — GDP by Country (2024)
Dataset compiled and cleaned by: Asadullah Shehbaz
For open research and data analysis.

this graph was created in OurDataWorld:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F5ba70e2a6c4926d6d6cf25183d04d768%2Fgraph1.png?generation=1721857623801679&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F37881b8889c3e253207b67f0115b704e%2Fgraph2.png?generation=1721857629220811&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F6391ebd97d7f80974d7acd60a10b914d%2Fgraph3.png?generation=1721857634439762&alt=media" alt="">

Population growth is one of the most important topics we cover at Our World in Data.

For most of human history, the global population was a tiny fraction of what it is today. Over the last few centuries, the human population has gone through an extraordinary change. In 1800, there were one billion people. Today there are more than 8 billion of us.

But after a period of very fast population growth, demographers expect the world population to peak by the end of this century.

On this page, you will find all of our data, charts, and writing on changes in population growth. This includes how populations are distributed worldwide, how this has changed, and what demographers expect for the future. Geographical maps show us where the world's landmasses are; not where people are. That means they don't always give us an accurate picture of how global living standards are changing.

One way to understand the distribution of people worldwide is to redraw the world map – not based on the area but according to population.

This is shown here as a population cartogram: a geographical presentation of the world where the size of countries is not drawn according to the distribution of land but by the distribution of people. It’s shown for the year 2018.

As the population size rather than the territory is shown in this map, you can see some significant differences when you compare it to the standard geographical map we’re most familiar with.

Small countries with a high population density increase in size in this cartogram relative to the world maps we are used to – look at Bangladesh, Taiwan, or the Netherlands. Large countries with a small population shrink in size – look for Canada, Mongolia, Australia, or Russia.

Название: Population ages 0-14 (% of total population) Тема: Health: Population: Structure Периодичность: Annual Единица измерения: Percentage Описание: Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population. Источник: United Nations Population Division. World Population Prospects., United Nations Population Division, uri: https://population.un.org/wpp/, publisher: United Nations Population Division Методология: Methodology: Population structure by age and sex in the World Bank's estimates is based on age/sex distributions of the population in United Nations Population Division's World Population Prospects. Statistical concept(s): Proportion of population by age and/or sex describes the proportion of the population in the category out of total (or male total or female total). Population estimates are dependent on the demographic components of change that are fertility, mortality and migration. As the age/sex distribution of population continues to change throughout the time even within a year, a reference time in the year that the estimate refers to is needed, such as mid-year, end-year or beginning of year. The values shown are midyear estimates. Значимость: Patterns of development in a country are partly determined by the age composition of its population. Different age groups have different impacts on both the environment and on infrastructure needs. Therefore the age structure of a population is useful for analyzing resource use and formulating future policy and planning goals with regards infrastructure and development. This indicator is used for calculating age dependency ratio (percent of working-age population). The age dependency ratio is the ratio of the sum of the population aged 0-14 and the population aged 65 and above to the population aged 15-64. In many developing countries, the once rapidly growing population group of the under-15 population is shrinking. As a result, high fertility rates, together with declining mortality rates, are now reflected in the larger share of the 65 and older population. Ограничения: Because the five-year age group is the cohort unit and five-year period data are used in the United Nations Population Division's World Population Prospects, interpolations to obtain annual data or single age structure may not reflect actual events or age composition. For more information, see the original source. Период данных: 1960-2024 Метод агрегации: Weighted average Лицензия: CC BY-4.0 (https://datacatalog.worldbank.org/public-licenses#cc-by) Код индикатора: SP.POP.0014.TO.ZS Датасет содержит следующие поля: Код индикатора (indicator_id) — Уникальный идентификатор индикатора Всемирного банка Название индикатора (indicator_name) — Полное название индикатора на английском языке Код страны (country_id) — Уникальный идентификатор страны (код Всемирного банка) Название страны (country_name) — Полное название страны или региона на английском языке ISO3 код страны (countryiso3code) — Трехбуквенный код страны по стандарту ISO 3166-1 alpha-3 Дата (date) — Год или дата наблюдения (в формате строки, обычно YYYY) Значение (value) — Численное значение показателя (может быть пустым для отсутствующих данных) (единица измерения: Percentage) Единица измерения (unit) — Единица измерения значения показателя (например, проценты, доллары США) Статус наблюдения (obs_status) — Статус данных наблюдения (может быть пустым для валидных данных) Количество знаков после запятой (decimal) — Количество десятичных знаков для отображения значения Название: Population ages 0-14 (% of total population) Тема: Health: Population: Structure Периодичность: Annual Единица измерения: Percentage Описание: Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population. Источник: United Nations Population Division. World Population Prospects., United Nations Population Division, uri: https://population.un.org/wpp/, publisher: United Nations Population Division Методология: Methodology: Population structure by age and sex in the World Bank's estimates is based on age/sex distributions of the population in United Nations Population Division's World Population Prospects. Statistical concept(s): Proportion of population by age and/or sex describes the proportion of the population in the category out of total (or male total or female total). Population estimates are dependent on the demographic components of change that are fertility, mortality and migration. As the age/sex distribution of population continues to change throughout the time even within a year, a reference time in the year that the estimate refers to is needed, such as mid-year, end-year or beginning of year. The values shown are midyear estimates. Значимость: Patterns of development in a country are partly determined by the age composition of its population. Different age groups have different impacts on both the environment and on infrastructure needs. Therefore the age structure of a population is useful for analyzing resource use and formulating future policy and planning goals with regards infrastructure and development. This indicator is used for calculating age dependency ratio (percent of working-age population). The age dependency ratio is the ratio of the sum of the population aged 0-14 and the population aged 65 and above to the population aged 15-64. In many developing countries, the once rapidly growing population group of the under-15 population is shrinking. As a result, high fertility rates, together with declining mortality rates, are now reflected in the larger share of the 65 and older population. Ограничения: Because the five-year age group is the cohort unit and five-year period data are used in the United Nations Population Division's World Population Prospects, interpolations to obtain annual data or single age structure may not reflect actual events or age composition. For more information, see the original source. Период данных: 1960-2024 Метод агрегации: Weighted average Лицензия: CC BY-4.0 (https://datacatalog.worldbank.org/public-licenses#cc-by) Код индикатора: SP.POP.0014.TO.ZS