About this dataset

Context

The dataset tabulates the Anguilla population by age. The dataset can be utilized to understand the age distribution and demographics of Anguilla.

Content

The dataset constitues the following three datasets

• Anguilla, MS Age Group Population Dataset: A complete breakdown of Anguilla age demographics from 0 to 85 years, distributed across 18 age groups
• Anguilla, MS Age Cohorts Dataset: Children, Working Adults, and Seniors in Anguilla - Population and Percentage Analysis
• Anguilla, MS Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.

Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)

-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method.

Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

About this dataset

Context

The dataset tabulates the population of Anguilla by race. It includes the population of Anguilla across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Anguilla across relevant racial categories.

Key observations

The percent distribution of Anguilla population by race (across all racial categories recognized by the U.S. Census Bureau): 10.42% are white, 88.09% are Black or African American and 1.49% are multiracial.

https://i.neilsberg.com/ch/anguilla-ms-population-by-race.jpeg" alt="Anguilla population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Anguilla
• Population: The population of the racial category (excluding ethnicity) in the Anguilla is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Anguilla total population. 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 Anguilla Population by Race & Ethnicity. You can refer the same here

Anguilla administrative level 0 sex and age disaggregated 2022 projected population statistics

About this dataset

Context

The dataset tabulates the population of Anguilla by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Anguilla across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 61.24% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Anguilla is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Anguilla total population. 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 Anguilla Population by Race & Ethnicity. You can refer the same here

Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.

"People Displaced" refers to the number of people living in displacement as of the end of each year.

"New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.

Contains data from IDMC's data portal.

Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).

This dataset was managed for the aims of the project ECOSISTER (Ecosystem for Sustainable Transition in Emilia-Romagna), WP3 of Spoke 5 and provides the long-term records (from 1781 to 2013) of European eel (Anguilla anguilla L.) production in the Comacchio Lagoon (Italy).

he European eel spends most of its life as a yellow eel in freshwater, brackish, and coastal environments. Upon reaching sexual maturity, it undergoes metamorphosis into a silver eel and migrates back to the Sargasso Sea to spawn and die. The silver eels of Comacchio Lagoon were always caught in the lavorieri with approximately 100% efficiency and official estimates of the total biomass were being made every year for more than 200 years. The Regional Park of the Po Delta and the Management Agency for the Parks and Biodiversity of Delta del Po were founded in 1988 and took over the infrastructures, official documents and records of the previous company managing the fishery. These fishery historical records were organized and combined with new data to provide 1) Annual records of total weight of silver eels captured and 2) Annual records that present the variation of fishing area coverage, from 1781 to 2013.

The dataset is provided in two formats:

- Microsoft Excel XLSX file, including 3 sheets (Dataset, Fields and units, Taxonomy)

- CSV files (UTF-8), 3 files corresponding to the 3 sheets of the Excel file

The dataset includes 233 records with total weight of silver eels captured in the Comacchio lagoon, their annual density, and the fishing area coverage. The fields are described in Table 1.

All the dataset fields are described in the Excel sheet/CSV file “Fields and units”, while the taxonomic related information for Anguilla anguilla is provided in the Excel sheet/CSV file “Taxonomy”. Information extracted from the World Register of Marine Species (WoRMS; https://marinespecies.org/) is provided here (see details in Table 2).

Table 1. Fields in the dataset (NA=not available).

Table 2. Provided taxonomic information.

This dataset permitted the analysis of local and global factors responsible for the collapse of the European eel through the publication of Aschonitis, V., Castaldelli, G., Lanzoni, M., Rossi, R., Kennedy, C., and Fano, E. A. (2017) Long-term records (1781–2013) of European eel (Anguilla anguilla L.) production in the Comacchio Lagoon (Italy): evaluation of local and global factors as causes of the population collapse. Aquatic Conserv: Mar. Freshw. Ecosyst., 27: 502–520. doi: 10.1002/aqc.2701.

The data were used to illustrate the population decline of eel in the most important eel fishery in the Mediterranean area, the Valli di Comacchio, followed by a detailed discussion of the potential role of major local factors (habitat loss, changes in local environmental conditions) and global factors (aquaculture and fisheries, climate change, habitat loss, pollution and parasitism) that may be responsible for the population decline of this important eel species.

The Valli di Comacchio which is also one of the most important areas for conservation. In fact, the Comacchio lagoon is included in the 2000 Nature network as IT4060002 “Valli di Comacchio” site and also in the Ramsar convention as important wetlands.

Furthermore, the Anguilla anguilla species is a critically endangered species, according to the IUCN, and is included in the 92/43/EEC Directive, therefore, information on its current population status and dynamics are necessary and can support the development of future conservation plans for eel species. It should also be pointed out that there is no long and detailed historical series on eel fishery, such as the one presented here, which is of quantitative value in describing the evolution of the eel population and due to the constant environmental condition of the area, also provides information on the amount of eel recruitment.

Open and free data for assessing the human presence on the planet.

The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.

The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

There were 6 600 Facebook users in Anguilla in February 2025, which accounted for 38.8% of its entire population. The majority of them were women - 53%. People aged 25 to 34 were the largest user group (3 600). The highest difference between men and women occurs within people aged 35 to 44, where women lead by 1 400.

Anguilla administrative level 0 and 1 population statistics

We performed population genetic analyses on the American eel (Anguilla rostrata) with three main objectives. First, we conducted the most comprehensive analysis of neutral genetic population structure to date in order to revisit the null hypothesis of panmixia in this species. Second, we used this data to provide the first estimates of contemporary effective population size (Ne) and to document temporal variation in effective number of breeders (Nb) in American eel. Third, we tested for statistical associations between temporal variation in the North Atlantic Oscillation (NAO) index, the effective number of breeders and two indices of recruit abundance. A total of 2142 eels from 32 sampling locations were genotyped with 18 microsatellite loci. All measures of differentiation were essentially zero, and no evidence for significant spatial or temporal genetic differentiation was found. The panmixia hypothesis should thus be accepted for this species. Nb estimates varied by a factor of 23 a...

Japanese eel (Anguilla japonica) is an important food source in East Asia whose population has dramatically declined since the 1970s. Despite past analysis with DNA sequencing, microsatellite and isozyme methods, management decisions remain hampered by contradictory findings. For example, it remains unresolved whether Japanese eels are a single panmictic population or whether they harbor significant substructure. Accurate assessment of population genetic substructure, both spatial and temporal, is essential for determining the relevant number of distinct management units appropriate for this species. In the present study, we assayed genetic variation genome-wide using Restriction Site Associated DNA Sequencing (RAD-seq) technology to analyze the population genetic structure of Japanese eels. For analysis of temporal isolation, five "cohort" samples were collected yearly from 2005 to 2009 in the Yangtze River Estuary. For analysis of spatial structure, five "arrival wave" samples were collected in China in 2009, and two arrival wave samples were collected in Japan in 2001. In each cohort of each arrival wave, five individuals were collected for a total of 55 eels sampled. In total, 214,210 loci were identified from these individuals, 106,652 of which satisfied quality checks and were retained for further analysis. There was relatively little population differentiation between arrival waves and cohorts collected either at different locations during the same year (Fst = 0.077) or at the same location collected over subsequent years (Fst = 0.082), and locations displayed no consistent isolation-by-distance.

In the marine environment, differential gene exchange between partially reproductively isolated taxa can result in introgression that extends over long distances due to high larval dispersal potential. However, the degree to which this process contributes to inter-locus variance of genetic differentiation within introgressed populations remains unclear. Using a genome-scan approach in the Indo-Pacific eel Anguilla marmorata, we investigated the degree of interpopulation genetic differentiation, the rate of introgression, and within-population genetic patterns at 858 AFLP markers genotyped in 1117 individuals. Three divergent populations were identified based on clustering analysis. Genetic assignments of individuals revealed the existence of different types of hybrids that tended to co-occur with parental genotypes in three population contact zones. Highly variable levels of genetic differentiation were found between populations across the AFLP markers, and reduced rates of introgression were shown at some highly differentiated loci. Gene flow across semipermeable genetic barriers was shown to generate spatial introgression patterns at some loci which define within-population structure over long distances. These results suggest that differential introgression in subdivided populations may be relevant when interpreting spatial variation patterns displayed by outlying loci in other marine fish populations.

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.

A description of the modelling methods used for age and sex structures can be found in "https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank"> Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here.
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.
Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Anguilla by race. It includes the distribution of the Non-Hispanic population of Anguilla across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Anguilla across relevant racial categories.

Key observations

With a zero Hispanic population, Anguilla is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is Black or African American alone with a population of 651 (88.09% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/anguilla-ms-population-by-race-and-ethnicity.jpeg" alt="Anguilla Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Anguilla
• Population: The population of the racial category (for Non-Hispanic) in the Anguilla is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Anguilla total Non-Hispanic population. 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 Anguilla Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Anguilla population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Anguilla. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 415 (58.70% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Anguilla population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Anguilla is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Anguilla is shown in the following column.

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 Anguilla Population by Age. You can refer the same here

There were 2 600 Instagram users in Anguilla in February 2025, which accounted for 15.3% of its entire population. The majority of them were women - 53.8%. People aged 25 to 34 were the largest user group (2 600). The highest difference between men and women occurs within people aged 25 to 34, where women lead by 1 200.

There were 5 000 Messenger users in Anguilla in November 2024, which accounted for 29.4% of its entire population. The majority of them were women - 52%. People aged 35 to 44 were the largest user group (2 500). The highest difference between men and women occurs within people aged 35 to 44, where women lead by 1 200.

Current understanding of animal population responses to rising temperatures is based on the assumption that biological rates such as metabolism, which governs fundamental ecological processes, scale independently with body size and temperature, despite empirical evidence for interactive effects. Here we investigate the consequences of interactive temperature- and size-scaling of vital rates for the dynamics of populations experiencing warming using a stage-structured consumer-resource model. We show that interactive scaling alters population and stage-specific responses to rising temperatures, such that warming can induce shifts in population regulation and stage-structure, influence community structure and govern population responses to mortality. Analyzing experimental data for 20 fish species, we found size-temperature interactions in intraspecific scaling of metabolic rate to be common. Given the evidence for size-temperature interactions and the ubiquity of size structure in animal populations, we argue that accounting for size-specific temperature effects is pivotal for understanding how warming affects animal populations and communities.