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.

Published in The Anthropocene Review. Abstract: Enormous growth of the world population during the last two centuries and its present slowing down pose questions about precedents in history and broader forces shaping the population size. Population estimates collected in an extensive survey of literature (873 estimates from 25 studies covering 1,000,000 BCE to 2100 CE) show that world population growth has proceeded in two distinct phases of acceleration followed by stoppage—from at least 25,000 BCE to 100 BCE, and from 400 CE to the present, interrupted by centuries of standstill and 10% decrease. Both phases can be fitted with a mathematical function that projects to a peak at 11.2 ± 1.5 billion around 2100 CE. An interaction model can account for this acceleration-stoppage pattern in quantitative detail: Technology grows exponentially, with rate boosted by population. Population grows exponentially, capped by Earth’s carrying capacity. Technology raises this cap, but only until it approaches Earth’s ultimate carrying capacity.

Author: K Swanson, educator, Minnesota Alliance for Geographic EducationGrade/Audience: high schoolResource type: lessonSubject topic(s): populationRegion: worldStandards: Minnesota Social Studies Standards

Standard 5. The characteristics, distribution and migration of human populations on the earth’s surface influence human systems (cultural, economic and political systems).Objectives: Students will be able to:

1. Identify the major demographic indicators that indicate a high or low population growth rate.
2. Compare/contrast the regions of the world using demographic indicators such as growth rate, natural increase, fertility rate, crude birth rates, and crude death rates
3. Identify the regions of the world with the highest and lowest birth rates.
4. Analyze the three means to control population growth: increase death rate, decrease birth rate and government laws.Summary: Students will analyze demographic data from the Population Reference Bureau and determine which areas of the world contain the fastest and slowest population growth rates. Students will determine that the fastest growth rates are in Northern and Eastern Africa and the slowest growth rates are found in Eastern Europe. Students will write an editorial on the best means to control population.

The annual population growth in Venezuela increased by 0.06 percentage points in 2024. While the growth is slowing down, with 0.37 percent, the population growth is at its peak in the observed period. Nevertheless, the last two years recorded a significantly lower population growth than the preceding years.Population growth deals with the annual change in total population, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Suriname and Colombia.

While the French population continues to increase, growth is slowing down, and situations are very contrasted from one territory to another, especially in Overseas France. Indeed, the regions in which the population grew the most, but also decreased the most between 2014 and 2020 are all overseas. Thus, during this period, French Guiana saw its population increase by more than *** percent, while Martinique's population decreased by *** percent, and Guadeloupe's by *** percent. More data on Overseas France can be found here.

About this dataset

Context

The dataset tabulates the Port St. Lucie 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 Port St. Lucie 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 Port St. Lucie was 245,021, a 5.68% increase year-by-year from 2022. Previously, in 2022, Port St. Lucie population was 231,852, an increase of 6.42% compared to a population of 217,864 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Port St. Lucie increased by 155,866. In this period, the peak population was 245,021 in the year 2023. 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 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 Port St. Lucie is shown in this column.
• Year on Year Change: This column displays the change in Port St. Lucie 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 Port St. Lucie Population by Year. You can refer the same here

The annual population growth in Chile increased by 0.04 percentage points (+8 percent) in 2023. While the population growth increased significantly in the first phase of the observed period, the increase slowed down in the last years. Annual population growth refers to the change in the population over time, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Argentina and Paraguay.

The annual population growth in Colombia increased by 0.1 percentage points (+9.35 percent) compared to the previous year. While the population growth increased significantly in the first phase of the observed period, the increase slowed down in the last years. Population growth refers to the annual change in population, and is based on the balance between birth and death rates, as well as migration.Find more key insights for the annual population growth in countries like Suriname and Venezuela.

The annual population growth in Lebanon increased by 0.04 percentage points (+8.7 percent) in 2023 in comparison to the previous year. While the growth is slowing down, with 0.5 percent, the population growth is at its peak in the observed period. Nevertheless, the last two years recorded a significantly lower population growth than the preceding years.Population growth deals with the annual change in total population, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Yemen and Qatar.

The annual population growth in Peru increased by 0.1 percentage points (+10.42 percent) compared to the previous year. While the population growth increased significantly in the first phase of the observed period, the increase slowed down in the last years. Population growth deals with the annual change in total population, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Ecuador and Bolivia.

During the decline to extinction, animal populations may present dynamical phenomena not exhibited by robust populations. Some of these phenomena, such as the scaling of demographic variance, are related to small size, whereas others result from density-dependent nonlinearities. Although understanding the causes of population extinction has been a central problem in theoretical biology for decades, the ability to anticipate extinction has remained elusive. Here we argue that the causes of a population’s decline are central to the predictability of its extinction. Specifically, environmental degradation may cause a tipping point in population dynamics, corresponding to a bifurcation in the underlying population growth equations, beyond which decline to extinction is almost certain. In such cases, imminent extinction will be signalled by critical slowing down (CSD). We conducted an experiment with replicate laboratory populations of Daphnia magna to test this hypothesis. We show that populations crossing a transcritical bifurcation, experimentally induced by the controlled decline in environmental conditions, show statistical signatures of CSD after the onset of environmental deterioration and before the critical transition. Populations in constant environments did not have these patterns. Four statistical indicators all showed evidence of the approaching bifurcation as early as 110 days (~8 generations) before the transition occurred. Two composite indices improved predictability, and comparative analysis showed that early warning signals based solely on observations in deteriorating environments without reference populations for standardization were hampered by the presence of transient dynamics before the onset of deterioration, pointing to the importance of reliable baseline data before environmental deterioration begins. The universality of bifurcations in models of population dynamics suggests that this phenomenon should be general.

Chad faces complex and often interlinked challenges that have contributed to its economic fragility while slowing down or undermining inclusive growth. This Country Economic Memorandum (CEM) identifies several key factors including insecurity; overreliance on oil revenue and the failure to use those revenues to bolster broad-based growth; climate change and variability; weak public financial management and business environment; and limited physical and human capital as the country’s main growth constraints. Insecurity within Chad and in neighboring countries has recently increased, making it a significant driver of short-run growth volatility. The CEM elaborates on several policy options to enhance economic inclusion and strengthen natural resource governance, which could contribute towards addressing some of the drivers of insecurity and promote inter-communal reconciliation. The prospect of a significant decline in oil production, solid population growth, and growing climate change challenges imply that even a successful implementation of proposed structural reforms would only lead Chad to achieve low-middle-income status by 2045.

The ability of a population to recover from disturbances is fundamental for its persistence. Impaired population recovery might be associated with a demographic Allee effect. Immigration from adjacent populations could accelerate the recovery not only by promoting population growth beyond the Allee effect threshold but also by bringing in advantageous genotypes. We explore the nature and role of ecological and evolutionary rescue in an Atlantic cod (Gadus morhua) population fished below its Allee effect threshold. We utilize an eco-evolutionary model and simulate scenarios, where the target population evolves in response to selective fishing and sample immigrants from i) a source population similarly adapted to fishing (post-fishing genotypes) or ii) an unexploited source population with natural genetic and phenotypic diversity (pre-fishing genotypes). Immigration of pre-fishing genotypes enhances the recovery due to the larger body sizes and the flow of associated genes. Post-fishing immigrants can promote the population abundance recovery, but they slow down evolutionary recovery from fishing-induced selection and increase uncertainty about recovery times. Our results stress the importance of maintaining genetic and phenotypic diversity and suggest that marine protected areas can serve as an important source of immigrants to promote both the demographic and evolutionary recovery of exploited populations.

Herbivores shape plant invasions through impacts on demography and dispersal, yet only demographic mechanisms are well understood. Although herbivores negatively impact demography by definition, they can affect dispersal either negatively (e.g. seed consumption), or positively (e.g. caching). Exploring the nuances of how herbivores influence spatial spread will improve forecasting of plant movement on the landscape. Here, we aim to understand how herbivores impact how fast plant populations spread through varying impacts on plant demography and dispersal. We strive to determine if, and under what conditions, we see net positive effects of herbivores, in order to find scenarios where herbivores can help promote spread. We draw on classic invasion theory to develop a stage-structured integrodifference equation model that incorporates herbivore impacts on plant demography and dispersal. We simulate seven herbivore `syndromes' (combinations of demographic and/or dispersal effects) drawn from the literature to understand how increasing herbivore pressure alters plant spreading speed. We find that herbivores with solely negative effects on plant demography or dispersal always slow plant spreading speed, and that the speed slows monotonically as herbivore pressure increases. However, we also find that plant spreading speed can be hump-shaped with respect to herbivore pressure: plants spread faster in the presence of herbivores (for low herbivore pressure) and then slower (for high herbivore pressure). This result is robust, occurring across all syndromes where herbivores have a positive effect on plant dispersal, and is a sign that the positive effects of herbivores on dispersal can outweigh their negative effects on demography. For all syndromes we find that sufficiently high herbivore pressure results in population collapse. Thus, our findings show that herbivores can speed up or slow down plant spread. These insights allow for greater understanding of how to slow invasions, facilitate native species recolonization, and shape range shifts with global change.

About this dataset

Context

The dataset tabulates the Chicopee 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 Chicopee 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 Chicopee was 54,838, a 0.18% decrease year-by-year from 2022. Previously, in 2022, Chicopee population was 54,939, a decline of 0.51% compared to a population of 55,222 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Chicopee increased by 147. In this period, the peak population was 56,285 in the year 2014. 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 Chicopee is shown in this column.
• Year on Year Change: This column displays the change in Chicopee 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 Chicopee Population by Year. You can refer the same here

India population growth rate for 2023 was 0.88%, a 0.09% increase from 2022.

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

<li>India population growth rate for 2022 was <strong>0.79%</strong>, a <strong>0.03% decline</strong> from 2021.</li>
<li>India population growth rate for 2021 was <strong>0.82%</strong>, a <strong>0.15% decline</strong> from 2020.</li>
<li>India population growth rate for 2020 was <strong>0.97%</strong>, a <strong>0.07% decline</strong> from 2019.</li>
</ul>Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Habitat fragmentation is a pervasive threat to biodiversity. Linearly arranged habitats such as stream networks are particularly vulnerable to fragmentation. As the landscape becomes increasingly human-dominated, conservation values of fragmented habitat patches cannot be overlooked. It is critical to understand the demographic mechanisms of population persistence or extirpation in fragmented patches.

We studied the dynamics of spatially structured populations of two Japanese landlocked salmonids persisting for > 30 years in a headwater stream network that is highly fragmented due to low-head dams in the mainstem. We parameterised and analysed spatial matrix population models using 9-year mark-recapture data.

Tributaries supported higher survival rates in some life stages, and movement was asymmetrical from the tributaries to the mainstem. Accordingly, population growth rates were higher in the tributary patches than the mainstem in both species despite the tributaries occupying only 12 or 18% of the study stream network by surface area. The tributaries harboured more physically and hydraulically complex instream habitats (i.e., higher wood density and flow refugia), indicating that habitat patch quality was more important than habitat patch size in determining the dynamics of these spatially structured populations.

Tributary locations in the stream network were important in the trajectory of these populations. The upstream-dwelling charr persisted in the highly fragmented mainstem patch (i.e., six impassable infrastructures in a < 500 m patch) due to immigration of fish from upstream including the tributary. However, the downstream-dwelling salmon have been gradually extirpated from the uppermost section of the fragmented mainstem patch because they could not maintain a positive population growth rate after the loss of emigrants was accounted for and immigration was prevented due to fragmentation.

Synthesis and applications: We conclude that small tributaries have rescued the spatially structured populations from extirpation (charr) or at least slowed down extirpation (salmon). Legal protection of headwaters as aquatic habitats is weak globally. Our results suggest that stream management plans underestimating the demographic value of small tributaries will likely fail to conserve populations of headwater inhabitants and therefore endanger aquatic biodiversity. We discuss conservation implications of this study related to habitat connectivity and fisheries management.

DOCTORATE DISSERTATION: The population dynamics and behavior of a populationof beavers, Castor canadensis, at Sagehen Creek, Nevada County, CA, were investigated from June 1977 through October 1979. A total of 29 beavers from four colonies were live-trapped, assigned to age classes, sexed, marked with color coded ear tags for individual identification, fitted with radio transmitters if older than kits, and released. The primary objective of the research was to examine the similarities and differences in behavior among members of the various age-sex classes. Resting associations and locations for all radio-tagged animals were also ascertained. The population size increased by 6 individuals, and increases in population density, average length of stream occupied per colony, total length of stream occupied by all colonies, and intercolonial movement occurred during the research. The sex ratio increased from 1 male:1 female in 1977 to 1.5 males: 1 female in 1979, which resulted from the presence of four new young adult males living at the borders of the existing colonies during the summer of 1979. The age class composition also changed, with more adults and two-year olds and fewer kits present in 1979 than in previous years. Three of the four colonies were typical family groups, consisting of the mated adult pair, several yearlings and the young of the year. Reproduction occurred all three years, but not in every colony, and the average litter size was 2.33 kits. Only one known mortality occurred and this was a male kit, although several subadults of both sexes disappeared from the population. Dispersal of the subadults is thought to regulate population size, although four two-year old individuals remained with their parent colonies at the termination of the research. The observed population changes suggest that the carrying capacity of the habitat for beavers has been reached and that the growth of the population should slow down or cease during the next few years. Seventeen types of behavior, which were grouped into three categories based on biological function, were recorded. Younger animals had a higher rate of occurrence of personal maintenance and social behaviors, while older animals had a higher rate for colony maintenance behaviors. Adult males had the highest rate of colony maintenance during both the summer and fall, and males of all age classes (excluding kits) had higher rates of colony maintenance in the fall than females. Adult males are considered to invest in the family group primarily through the performance of colony maintenance behaviors. Kits had the highest rate of social behaviors and initiated the most encounters with other beavers. The adult females were involved in the most interactions and had the lowest frequency of submissive interactions. The adult males had the highest frequency of dominant interactions. An age class dominance hierarchy was present within the families, with older age classes always dominant to younger age classes. No evidence for a sexual hierarchy was found, and the adults within a colony were considered to be codominant. Beavers in all colonies used a number of rest sites, both lodges and bank burrows. Most colonies had one preferred rest site that was used by all members, while some colonies had two preferred rest sites. Use of rst sites and resting associations were affected by season of the year, number of young in the family, and specific age of the adults in the mated pair.

The largest city in Finland is Helsinki with 684,018 inhabitants. Helsinki is the capital of Finland, and it is located in the south within the Uusimaa region. In 2024, the second largest city was Espoo, a city located in the Greater Helsinki metropolitan area, which had approximately 320,900 inhabitants. After the cities of Helsinki and Espoo, the third largest and most populous city outside the capital region was Tampere, with roughly 280,200 inhabitants. The Finnish population is highly concentrated in southern Finland The total population of Finland is roughly 5.64 million. Finland is one of the most sparsely populated countries in Europe, and the population is highly concentrated in the southern and southwestern parts of the country. Since 1915 the population of Finland grew steadily from 3.1 million to more than 5.64 million inhabitants. But the upwards trend slowed down in recent years. The median age of the Finnish population is rising While the population growth slowed down the Finnish population also got older. The media age increased from 38.4 years in 2000 to 43 years in 2024. The estimated median age for the Finnish population in 2035 was 45.3 years.

Context

This is a dataset of the most highly populated city (if applicable) in a form easy to join with the COVID19 Global Forecasting (Week 1) dataset. You can see how to use it in this kernel

Content

There are four columns. The first two correspond to the columns from the original COVID19 Global Forecasting (Week 1) dataset. The other two is the highest population density, at city level, for the given country/state. Note that some countries are very small and in those cases the population density reflects the entire country. Since the original dataset has a few cruise ships as well, I've added them there.

Acknowledgements

Thanks a lot to Kaggle for this competition that gave me the opportunity to look closely at some data and understand this problem better.

Inspiration

Summary: I believe that the square root of the population density should relate to the logistic growth factor of the SIR model. I think the SEIR model isn't applicable due to any intervention being too late for a fast-spreading virus like this, especially in places with dense populations.

After playing with the data provided in COVID19 Global Forecasting (Week 1) (and everything else online or media) a bit, one thing becomes clear. They have nothing to do with epidemiology. They reflect sociopolitical characteristics of a country/state and, more specifically, the reactivity and attitude towards testing.

The testing method used (PCR tests) means that what we measure could potentially be a proxy for the number of people infected during the last 3 weeks, i.e the growth (with lag). It's not how many people have been infected and recovered. Antibody or serology tests would measure that, and by using them, we could go back to normality faster... but those will arrive too late. Way earlier, China will have experimentally shown that it's safe to go back to normal as soon as your number of newly infected per day is close to zero.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F197482%2F429e0fdd7f1ce86eba882857ac7a735e%2Fcovid-summary.png?generation=1585072438685236&alt=media" alt="">

My view, as a person living in NYC, about this virus, is that by the time governments react to media pressure, to lockdown or even test, it's too late. In dense areas, everyone susceptible has already amble opportunities to be infected. Especially for a virus with 5-14 days lag between infections and symptoms, a period during which hosts spread it all over on subway, the conditions are hopeless. Active populations have already been exposed, mostly asymptomatic and recovered. Sensitive/older populations are more self-isolated/careful in affluent societies (maybe this isn't the case in North Italy). As the virus finishes exploring the active population, it starts penetrating the more isolated ones. At this point in time, the first fatalities happen. Then testing starts. Then the media and the lockdown. Lockdown seems overly effective because it coincides with the tail of the disease spread. It helps slow down the virus exploring the long-tail of sensitive population, and we should all contribute by doing it, but it doesn't cause the end of the disease. If it did, then as soon as people were back in the streets (see China), there would be repeated outbreaks.

Smart politicians will test a lot because it will make their condition look worse. It helps them demand more resources. At the same time, they will have a low rate of fatalities due to large denominator. They can take credit for managing well a disproportionally major crisis - in contrast to people who didn't test.

We were lucky this time. We, Westerners, have woken up to the potential of a pandemic. I'm sure we will give further resources for prevention. Additionally, we will be more open-minded, helping politicians to have more direct responses. We will also require them to be more responsible in their messages and reactions.