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.

European countries are experiencing population decline and the tacit assumption in most analyses is that the decline may have detrimental welfare effects. In this paper we use a survey among the population in the Netherlands to discover whether population decline is always met with fear. A number of results stand out: population size preferences differ by geographic proximity: at a global level the majority of respondents favors a (global) population decline, but closer to home one supports a stationary population. Population decline is clearly not always met with fear: 31 percent would like the population to decline at the national level and they generally perceive decline to be accompanied by immaterial welfare gains (improvement environment) as well as material welfare losses (tax increases, economic stagnation). In addition to these driving forces it appears that the attitude towards immigrants is a very strong determinant at all geographical levels: immigrants seem to be a stronger fear factor than population decline. The data was collected from a Dutch household panel.

This statistic shows the ten countries with the largest decline in the size of the rural population between 2018 and 2015. Based on forecasted population figures, the rural population of China is projected to be around *** million less in 2050 than it was in 2018.

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.

The United States had the largest population of the G7 countries between 2000 and 2023, increasing from 282 million to 335 million. It is also the country with the third highest number of inhabitants in the world. Interestingly, Japan's population has been in decline since 2010, falling from 128 million to 124.5 million. Also Italy's population has been decreasing in recent years. Aging population Both Italy, Germany, and Japan are characterized by an increasingly aging population. In 2023, Japan had the third highest median age worldwide, while Italy and Germany had the fourth and eighth highest, respectively. Despite Germany's high median age and aging population, the number of inhabitants continue to increase because of migration. Falling fertility rates Another reason for the declining populations in Japan and Italy are falling fertility rates. Both countries were among the 20 with the lowest fertility rates in the world in 2024, meaning that women in child-bearing age have fewer children.

The population rating shows how many people currently live in a particular country. This rating helps not only to compare countries by the number of inhabitants and population density, but also to predict the further dynamics of growth, stagnation and population decline.

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.

Graph and download economic data for Population Growth for Japan (SPPOPGROWJPN) from 1961 to 2024 about Japan, population, and rate.

About this dataset

Context

The dataset tabulates the Country Life Acres 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 Country Life Acres 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 2023, the population of Country Life Acres was 71, a 1.39% decrease year-by-year from 2022. Previously, in 2022, Country Life Acres population was 72, a decline of 0% compared to a population of 72 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Country Life Acres decreased by 10. In this period, the peak population was 84 in the year 2001. The numbers suggest that the population has already reached its peak and is showing a trend of decline. 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 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Country Life Acres is shown in this column.
• Year on Year Change: This column displays the change in Country Life Acres 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 Country Life Acres Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Town And Country 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 Town And Country 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 2023, the population of Town And Country was 11,553, a 0.28% decrease year-by-year from 2022. Previously, in 2022, Town And Country population was 11,585, a decline of 0.46% compared to a population of 11,638 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Town And Country increased by 600. In this period, the peak population was 11,644 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. 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 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Town And Country is shown in this column.
• Year on Year Change: This column displays the change in Town And Country 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 Town And Country Population by Year. You can refer the same here

Of the G7 countries, Canada, the United Kingdom, and the United States were forecast to have a constant population ******** until 2050. In Japan, Germany, and Italy, the population is forecast to constantly ******* due to aging populations and falling fertility rates. In France, the population was first expected to decline by 2048.

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.

About this dataset

Context

The dataset tabulates the Country Club Hills 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 Country Club Hills 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 2023, the population of Country Club Hills was 994, a 0.40% decrease year-by-year from 2022. Previously, in 2022, Country Club Hills population was 998, a decline of 1.09% compared to a population of 1,009 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Country Club Hills decreased by 367. In this period, the peak population was 1,361 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. 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 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Country Club Hills is shown in this column.
• Year on Year Change: This column displays the change in Country Club Hills 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 Country Club Hills Population by Year. You can refer the same here

The paper projects aggregate populations of six Pacific Island countries both in the pre and post-COVID19 scenarios using Cohort Component Method for the period 2020-2060. It uses baseline indicators resembling China and Italy’s experiences and finds that Pacific countries could experience about 5% fatality which could reach up to 20%. It also finds that most countries would experience higher fatalities in the older age groups, consistent with what is being witnessed in other countries around the world. The analysis also shows that while the risk escalates for people over 50 years onward in all the countries, in Fiji, those in the age range of 70 years or more are at higher risk. The finding also indicates that for all countries, the fatality rate for 80 years and over is about 50%. The population projections show that Fiji will be most impacted, while others will experience around 2% initial population decline. The convergence to baseline is found to be slow (except for Tonga) in most Pacific countries. Consequently, the paper suggests a cautious approach in dealing with the crisis.

The average for 2022 based on 195 countries was 18.38 births per 1000 people. The highest value was in Niger: 45.03 births per 1000 people and the lowest value was in Hong Kong: 4.4 births per 1000 people. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

Summary of GLMMs fixed effects of socio-economic factors and species traits on the probability of mammal decline in PAs.

Description of the terms under methods extracted from the reviewed papers reported in Fig 2.

Bird populations are declining globally with losses recorded in many European breeding birds. Habitat management measures have not resulted in a widespread reversal of these declines. We analysed national bird population trends from ten European countries (France, Hungary, Ireland, the Netherlands, Poland, Portugal, Spain, Sweden, Switzerland, and the UK) in relation to the species’ nesting strategy (‘ground-nesting' or ‘other’), Annex I designation (‘designated’ or ‘not designated’) and association with agricultural habitats for breeding (‘associated’ or ‘not associated’). For each country in our dataset, we also defined the following factors: farming intensity; predator community complexity; and predator control effort. Our results showed additive effects of nesting strategy, designation, and breeding habitats on the likelihood of population decline. Ground-nesting birds were 86% more likely to decline than birds with other nesting strategies. Annex I designated species of the Birds Directive were 50% less likely to decline than non-designated birds. Birds breeding primarily in agricultural habitats were more likely to decline than birds breeding in other habitats, interactively with farming intensity. Homogenous trends across Europe (i.e., trends in two or more countries that were either not declining in all countries or declining in all countries) indicate that the probability of population decline was related to nesting strategy and breeding habitat, with ground-nesting birds being 15.6 times more likely than other birds to have a declining trend across Europe, and birds nesting in agricultural habitat being 17.8 times more likely than birds nesting in other habitats to have a declining trend across Europe. Our results highlight a widespread challenge, therefore widespread instruments (e.g. legislation, economic policies, agri-environment schemes) will be required to reserve these declines. Ground-nesting species requirements can be complex and multiple strategies will be needed to restore populations including the development of predation management tools. Methods Many countries provide data to the Pan-European Common Bird Monitoring Scheme (PECBMS). We explored the PECBMS web page and the links included therein for each country, to identify if national data on population trends for each species could be obtained. Finally, we obtained national trends data for 10 countries, namely France (FR), Hungary (HU), Ireland (IE), the Netherlands (NL), Poland (PL), Portugal (PT), Spain (ES), Sweden (SE), Switzerland (CH) and the UK (UK). Specifically, common bird species trends in France were obtained from the monitoring programs coordinated by the Natural History Museum (http://www.vigienature.fr/fr/resultats-especes-3367). These data provided a 20-year trend (1998-2018) for each species. Hungary data from the Monitoring Centre of the Hungarian Ornithological and Nature Conservation Association were available at https://mmm.mme.hu/charts/trends and provided species trends for the period 1999-2021. Data from Ireland were available at https://www.npws.ie/sites/default/files/publications/pdf/IWM115.pdf and provided trends for 1998-2016 for each species. Netherlands data were obtained from the monitoring programs carried out by SOVON, the Dutch Centre for Field Ornithology (https://www.vogelwarte.ch/assets/files/publications/upload2019/Zustand%20der%20Vogelwelt%20in%20der%20Schweiz_Bericht%202019_E_low.pdf). These data provided species trends from 1990 to 2016. Polish data were obtained from https://monitoringptakow.gios.gov.pl/database.html, and provided trends for each species for the period 2000-2019. Portuguese data (based on the program organised by the Sociedade Portuguesa para o Estudo das Aves, SPEA) were obtained from https://www.spea.pt/wp-content/uploads/2021/06/relatorio_cac_2021_vf3.pdf, as long-term (2004-2020) trends for each species. Data from Spain were obtained from the monitoring programs conducted by SEO/Birdlife (https://seo.org/boletin/seguimiento/boletin/2018/html5forpc.html?page=0), consisting of long-term trends (1998-2018) for each species. Data from Sweden, showing 1998-2022 trends for each species, were obtained from http://www.fageltaxering.lu.se/resultat/trender. Swiss data were obtained from the monitoring programs carried out by Vogelwarte, the Swiss Ornithological Institute (https://www.vogelwarte.ch/assets/files/projekte/entwicklung/zustandsbericht%202019/Zustandsbericht%202019_e_low.pdf) and consisted of 1990-2018 trends for each species. The UK data were obtained through monitoring programs at the British Trust of Ornithology (https://www.bto.org/our-science/publications/birdtrends/2020/species), providing long-term (1994-2020) trends for each species. In all cases, trends for each species were categorised according to European Bird Census Council (EBCC) definitions (see https://pecbms.info/methods/pecbms-methods/1-national-species-indices-and-trends/1-2-production-of-national-indices-and-trends/trend-interpretation-and-classification) as ‘important decline’, ‘moderate decline’, ‘stable’, ‘moderate increase’, ‘marked increase’ or ‘uncertain. We regrouped the categories as ‘decline’ (either important or moderate) or ‘no decline’, (stability, moderate or important increase, or uncertain trends) to obtain a binomial variable describing the decline probability of a given species in each country.

Background and Aims: Declining fertility is a key driver behind the rapid aging of populations worldwide. Finland has experienced a 25% decline in fertility from 2010 to date and ranks low even on the European and Nordic scales. This study aimed to address the association between sociodemographic indicators and birth rate (i.e., live births relative to total population) in Finland.Methods: Open data on 310 Finnish municipalities were retrieved from the public database of Statistics Finland. Several sociodemographic subdimensions (population structure, education and income, location and living, divorces, car ownership rate, and crime rate), each converted to standard deviation units, were modeled against birth rate at the municipality level using generalized estimating equations.Results: In this dataset, average annual birth rate was 8.8 per 1,000 individuals. Birth rate was positively associated with change in population size (rate ratio 1.06, 95% confidence interval 1.04−1.08), percentage of

About this dataset

Context

The dataset tabulates the Hill Country Village 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 Hill Country Village 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 2022, the population of Hill Country Village was 946, a 0.21% increase year-by-year from 2021. Previously, in 2021, Hill Country Village population was 944, a decline of 0.11% compared to a population of 945 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Hill Country Village decreased by 78. In this period, the peak population was 1,130 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Hill Country Village is shown in this column.
• Year on Year Change: This column displays the change in Hill Country Village 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 Hill Country Village Population by Year. You can refer the same here