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Context
The dataset tabulates the South Mansfield 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 South Mansfield. 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 239 (47.80% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Mansfield Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of South Mansfield by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for South Mansfield. The dataset can be utilized to understand the population distribution of South Mansfield by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in South Mansfield. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for South Mansfield.
Key observations
Largest age group (population): Male # 15-19 years (84) | Female # 35-39 years (66). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Mansfield Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of South Mansfield by race. It includes the population of South Mansfield across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of South Mansfield across relevant racial categories.
Key observations
The percent distribution of South Mansfield population by race (across all racial categories recognized by the U.S. Census Bureau): 15% are white, 81% are Black or African American and 4% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Mansfield Population by Race & Ethnicity. You can refer the same here
In 2022, around 48.59 percent of New Mexico's population was of Hispanic origin, compared to the national percentage of 19.45. California, Texas, and Arizona also registered shares over 30 percent. The distribution of the U.S. population by ethnicity can be accessed here.
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Dispersal ability can enhance the probability of an organism surviving and reproducing, and affects the geographic structure of its genetic variability. Allocosa senex is a nocturnal sand-dwelling wolf spider strictly associated with oceanic, estuarine and freshwater sandy coast habitats of southern South America, including Uruguay, Brazil, and Argentina. Recent research has revealed the presence of diverse dispersal strategies, both aerial and aquatic. Here we investigated the genetic structure and demographic history of A. senex using sequences of the mitochondrial genome and genomic scanning using amplified fragment length polymorphisms (AFLPs). We hypothesized the presence of a weak population genetic structure in space because of high levels of gene flow. We analysed individuals from 21 localities from Uruguay, Argentina, and Brazil. We obtained 60 sequences for the cox1 (17 haplotypes) and 445 AFLP polymorphic loci of 90 individuals. The results were in agreement with our hypothesis. They revealed an absence of spatially structured genetic diversity, neither among localities nor among basins, suggesting little isolation by distance in the group. The mitochondrial gene tree was dated and age estimates revealed a recent origin of A. senex, which was traced back to the Middle Pleistocene. Both the mitochondrial star-like topology and the departures from neutrality, further supported by the lack of AFLP population structure and isolation by distance, are in agreement with a recent population expansion. Demographic changes could be related to climatic oscillations and geological changes undergone by the study area during the Pleistocene.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Populations of North American river otters (Lontra canadensis) declined throughout large portions of the continent during the early 1900s due to habitat degradation and unregulated trapping. River otters had been extirpated in North Dakota (ND), but the Red River Valley has since been recolonized, with potential source populations including the neighboring states of Minnesota or South Dakota, or the Canadian province of Manitoba (MB). We genotyped 9 microsatellite loci in 121 samples to determine the source population of river otters in the Red River Valley of ND, as well as to assess population structure and diversity of river otters in central North America. Overall, genetic diversity was high, with an average observed heterozygosity of 0.58. Genetic differentiation was low (F ST < 0.05) between river otters in ND and those of Minnesota, suggesting that eastern ND was recolonized by river otters from Minnesota. River otters from MB were genetically distinct from all other sampled populations. Low genetic differentiation (F ST = 0.044) between South Dakota and Louisiana (LA) suggested that reintroductions using LA stock were successful. The genetic distinctiveness of river otters from different geographic regions should be considered when deciding on source populations for future translocations.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset presents the median household income across different racial categories in South Mansfield. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of South Mansfield population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 81.21% of the total residents in South Mansfield. Notably, the median household income for Black or African American households is $18,916. Interestingly, despite the Black or African American population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $21,078. This reveals that, while Black or African Americans may be the most numerous in South Mansfield, Two or More Races households experience greater economic prosperity in terms of median household income.
https://i.neilsberg.com/ch/south-mansfield-la-median-household-income-by-race.jpeg" alt="South Mansfield median household income diversity across racial categories">
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Mansfield median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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La population totale en Corée du Sud était estimée à 51,8 millions de personnes en 2024, selon les dernières données du recensement et les projections de Trading Economics. Les valeurs actuelles, des données historiques, des prévisions, des statistiques, des tableaux et le calendrier économique - Corée du Sud - Population.
Demographic performance (recruitment, growth, and survival) are quantified annually for multiple individual colonies of the three most common genera (Acropora, Pocillopora, Porites) at both backreef and forereef sites. Each coral was tagged in 2011 and subsequently sampled again in 2012 to track colony growth and mortality dynamics. However, since 2013, investigators have transitioned to identifying coral through detailed mapping methodology and will continue to identify corals using this method in the subsequent years. The mapping system developed in 2013 provides data appropriate for detailed demographic study of coral on varying spatial scales around the island. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2022). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
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A spreadsheet detailing the analysis of humpback whale biopsy samples including the field: Sample ID Duplicate (notes field) Location sample was taken Collection date (UTC) Collection latitude and longitude Sex Haplotype DLOOP sequence Microsatellite sequence Single nucleotide polymorphism (SNP) markers By utilising both mitochondrial and nuclear genetic markers, the population structure and distribution of humpback whales that migrate to separate winter breeding grounds along the north-western and north-eastern coasts of Australia, and their interaction with the endangered populations of the South Pacific can be examined. Specifically, this dataset was used to look at population structure among putative breeding populations, the mixing of breeding populations on high latitude Antarctic feeding grounds and evidence for sex-specific migration along the eastern Australian migratory corridor. Australian Antarctic Data Centre Note, 2018-07-10:
Original datasheet was reformatted to fit IPT Biodiversity.AQ standard. The new datasheet "humpbackWhales.csv" provides the dataset ID, decimal latitude and longitude, location, sex, occurrence, and date of event. The taxonomical organisation is provided to the lowest taxonomical rank that could be determined, after matched in WoRMS (World Register of Marine Species).
This dataset contains the percentage cover of the stony corals (Scleractinia) and other major groups analyzed from 0.5 x 0.5 m photographic quadrats in several reef habitats at the Moorea Coral Reef LTER, French Polynesia. This survey has been repeated annually in April since 2005. There are two tables available, providing different views of the same data: a long table having all values in one column and a wide table having a separate column for each dependent variable. Functional groups (i.e., dependent variables) counted are: Scleractinian Corals (by genus where appropriate, see methods), Macroalgae, Crustose Coralline Algae / Bare Space, Soft Corals, Hydrocorals (Millepora), Algal Turf and Sand. The coral community was sampled photographically in all habitats surrounding the island: Fringing Reef, Lagoon (Backreef), and Outer Reef (Forereef.) The sampling regime consists of a repeated-measures protocol in each habitat, and is structured by habitat to allow a statistical contrast of sites, shores, times, and in the case of the outer reef, depths. Detailed methods are available in the protocols section. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2022). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
La moyenne pour 2023 était de 49.48 pour cent. La valeur la plus élevée était au Thaïlande: 51.26 pour cent et la valeur la plus basse était au Brunéi Darussalam: 46.86 pour cent. Vous trouverez ci-dessous un graphique pour tous les pays où les données sont disponibles.
National
Sample survey data [ssd]
The total number of households initially planned to be interviewed in the survey sample was 3,360. This number was selected based on the resources available, the length of the questionnaire, and the desire to complete the interview process within one calendar year. Due to non response, however, the number of households actually interviewed was 3,323. The sample is representative of the national population distribution between urban and rural areas, but is geographically stratified at the regional level rather than self-weighted, meaning that an equal number of households were chosen from each of seven economic regions (South, Tensift, Center, Center-South, Center-North, East and North-West). Thus the sample itself does not reflect the actual population distribution in Morocco nationwide. However, a system of weights assigned at the household level (calculated by the Moroccan Direction de la Statistique) yields results which are representative at the regional and national levels.
Sample Design: The sample for the 1990-91 MLSS was based on a master sample frame drawn in 1984 by the National Household Survey Unit of the Moroccan Direction de la Statistique (Dispositif National d'Enquêtes auprès des Ménages, Direction de la Statistique). The sample frame was in turn based on the 1982 Moroccan Population Census (Recensement Général de la Population et de l'Habitat de 1982). This master sample frame contains a total of 968 primary sampling units (Unités Primaires, UP). After stratification into 7 economic regions, 140 of the 968 primary sampling units (Ups) were selected at random for the survey, 20 from each economic region.
At this stage the maps for each selected UP were updated, and three secondary sampling units (Unité Secondaire, US) were then selected from each UP according to a 'simple, random, equal probabilities' method of sampling.
Each selected US was enumerated, providing a listing of all households located within its boundaries. Eight households (24 per UP) were then chosen from each US according to random, equal probabilities. The end result is a stratified sample with 20 UPs in each of 7 economic regions. The total number of households in the sample frame is 3,360 (7 regions x 20 UPs x 3 USs x 8 households = 3,360 households). The total number of UPs is 140 (7 x 20), and the total number of USs is 420 (7 x 20 x 3).
Rural vs. Urban Classification: Of the total 420 USs in the sample, about half were rural. Within each secondary sampling units, there are usually several douars (villages). Douars are classified as either 'grouped' or 'dispersed' (see question 2 in section I of douar questionnaire). Households within the same grouped douar are very close to each other, but households within the same dispersed douar may be very far (as much as 3-5 kilometers) apart. Urban secondary sampling units, and even primary sampling units, are classified as belonging to either a "centre" (town) or a "quartier" (a section of a large city).
The definition of urban and rural areas is drawn from the official Moroccan classification system (according to the 1982 census). The largest cities are 'municipalities', after which come 'centres autonomes' and finally the smallest urban entities, 'centres délimités'. The quartier questionnaire was administered only in municipalities, while the centre questionnaire was administered in both the centres autonomes and centres délimités. Finally, areas which fall outside of all three of these official urban classifications were reclassified as urban if there was a centralized electricity or piped water system. Such reclassified areas are known as 'petite centres', and the centre questionnaire (as opposed to the douar questionnaire) was administered to them.
Face-to-face [f2f]
Household Questionnaire: The household questionnaire contains two parts divided into a total of 24 sections. Parts I and II were administered to each household in two separate visits, with approximately two weeks in between the first and second visit. The survey covers all household members, defined to include all those individuals for whom the household is their primary residence, and who are economically dependent on the household. Household members also include: individuals who are not physically present but whose absence has been for less than one month (or in the case of those hospitalized, less than six months), lodgers who share at least one meal with the household, and servants who reside at and share meals with the household. The head of household is defined as that individual recognized as the head by the other household members, and is usually the individual with the greatest responsibility for income generation and the management of household expenditures. The household head was asked to respond to questions on general household information, or to indicate which household member should most appropriately respond to a particular question. If the household head was not available, another member able to provide information on household affairs was asked to answer the questions. In most sections of the questionnaire each individual was asked to respond for himself or herself except that parents were allowed to respond for young children.
Household Literacy Module The literacy module was administered to two-thirds of all households surveyed (i.e. in every 2 of the 3 secondary sampling units within each primary sampling unit), and thus covered about 2,240 households. The survey was administered to all persons in the household aged 9 to 69, with the exception of those who had passed the baccalauréat (French high school equivalency test) or with higher education. In the questionnaire, individuals are first asked to rate themselves according to their writing skills in Arabic and French.
Community Questionnaires: Community questionnaires were administered in all 140 primary sampling units (Unités Primaires, UPs). These questionnaires are designed to capture information on the characteristics of the community which influence the living standards of all households in the area. These surveys were conducted by the supervisors (contrôleurs). Depending on whether or not the community was located within a large urban area (quartier), a small urban area (centre), or a rural area (douar), three slightly different community questionnaires were administered. These questionnaires provide information on general housing characteristics, transportation, health, sanitation and education services as well as other general services which might be available such as police, red cross, sports facilities, library, etc. A list of informants from whom the information was obtained is also provided.
Price Questionnaire: The price questionnaire was administered by the supervisor (contrôleur) in each of the secondary sampling units covered by the survey. This module provides information on regional price levels so that nominal price values collected in the household survey can be appropriately deflated according to actual prices prevailing in the area. Prices were collected for each of 74 consumption items (57 food and 17 non - food items).
Dispensary (Health) Questionnaire: In theory this questionnaire was supposed to be administered to all dispensaries (health centers) located in each primary sampling unit. But in practice, only the dispensaries closest to the households surveyed were chosen to be interviewed. The dispensary data are not representative at a regional or national level, and thus the overall characteristics of health care facilities cannot be assessed. Again, this survey was administered by the supervisors (contrôleurs).
The questionnaire provides information on the health services offered by each dispensary and associated costs; type of trained personnel, equipment and medicines which are on-hand; and, the types of vaccinations offered.
Population monitoring is essential to assess, manage and protect threatened species. Although the South Pacific loggerhead turtle subpopulation is classified as critically endangered by the IUCN, monitoring data are scarce. This study reports the results of the first long-term monitoring of the nesting population of loggerhead turtles held by Bwärä Tortues Marines on La Roche Percée beach, New Caledonia. From 2006 to 2020, Capture Mark Recapture was used to identify nesting individuals. Time and nesting success were recorded on site. A total of 452 different females were observed and tagged over 14 years. The number of different nesting individuals observed each year showed a significant increase along the timeframe of the study. A remigration interval of 3.34 years was observed and the overall nesting success was 59.02%. This study also reports the inter-nesting intervals, monthly and hourly variabilities in the visits at the nesting site. The conservation actions led by Bwärä Tortues...
This dataset contains the percentage cover of all stony corals (Scleractinia, pooled among genera) and other major groups analyzed from 0.5 x 0.5 m photographic quadrats at the Backreef habitat at the Moorea Coral Reef LTER, French Polynesia. This survey time series began in 2005 and is repeated each year in April. Functional groups counted are: Scleractinian corals, Macroalgae, Crustose Coralline Algae / Bare Space, Soft Corals, Hydrocorals ( Millepora ), Algal Turf and Sand. The coral community was sampled photographically in all represented habitats surrounding the island: Fringing Reef, Lagoon, and Outer Reef. This dataset contains only Lagoon (Backreef) data (see knb-lter-mcr.4 for the other habitats) and is structured in a repeated-measures protocol to allow a statistical contrast of sites, shores and times. Community structure was determined through a coarse analysis of the benthic community, initially completed in situ (2005), but using photoquadrats from 2006. There are quadrats analyzed at each of five areas within each site, and the areas are revisited (but not the quadrats) each year to support the repeated measures design. There are two tables available, providing different views of the same data: a long table having all values in one column and a wide table having a separate column for each observed object. Detailed methods are available in the protocols section. This material uses data collected by the U.S. National Science Foundation's (NSF) Moorea Coral Reef Long Term Ecological Research (MCR LTER) site under Grant No. OCE 2224354 (and earlier awards). Additional financial support to the MCR LTER site was provided through a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2024).
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-mcr/4/38. The abstract below was extracted from the Level 0 data package and is included for context: This dataset contains the percentage cover of the stony corals (Scleractinia) and other major groups analyzed from 0.5 x 0.5 m photographic quadrats in several reef habitats at the Moorea Coral Reef LTER, French Polynesia. This survey has been repeated annually in April since 2005. There are two tables available, providing different views of the same data: a long table having all values in one column and a wide table having a separate column for each dependent variable. Functional groups (i.e., dependent variables) counted are: Scleractinian Corals (by genus where appropriate, see methods), Macroalgae, Crustose Coralline Algae / Bare Space, Soft Corals, Hydrocorals (Millepora), Algal Turf and Sand. The coral community was sampled photographically in all habitats surrounding the island: Fringing Reef, Lagoon (Backreef), and Outer Reef (Forereef.) The sampling regime consists of a repeated-measures protocol in each habitat, and is structured by habitat to allow a statistical contrast of sites, shores, times, and in the case of the outer reef, depths. Detailed methods are available in the protocols section. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2020). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
As of 2023, the largest segment of the population in Latin America falls within the age group of 19 to 30 years, which consists of the youth population. This age range comprises approximately 127.9 million individuals across the countries encompassing the region.
The highest city in the world with a population of more than one million is La Paz. The Capital of Bolivia sits 3,869 meters above sea level, and is more than 1,000 meters higher than the second ranked city - Quito. La Paz is also higher than Mt. Fuji in Japan, which has a height of 3,776 meters. Many of the world's highest cities are located in South America. The only city in North America that makes the top 20 list is Denver, Colorado, which has an altitude of 1,673 meters.
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-mcr/1038/10. The abstract below was extracted from the Level 0 data package and is included for context: This dataset contains the percentage cover of all stony corals (Scleractinia, pooled among genera) and other major groups analyzed from 0.5 x 0.5 m photographic quadrats at the Backreef habitat at the Moorea Coral Reef LTER, French Polynesia. This survey time series began in 2005 and is repeated each year in April. Functional groups counted are: Scleractinian corals, Macroalgae, Crustose Coralline Algae / Bare Space, Soft Corals, Hydrocorals (Millepora), Algal Turf and Sand. The coral community was sampled photographically in all represented habitats surrounding the island: Fringing Reef, Lagoon, and Outer Reef. This dataset contains only Lagoon (Backreef) data (see knb-lter-mcr.4 for the other habitats) and is structured in a repeated-measures protocol to allow a statistical contrast of sites, shores and times. Community structure was determined through a coarse analysis of the benthic community, initially completed in situ (2005), but using photoquadrats from 2006. There are quadrats analyzed at each of five areas within each site, and the areas are revisited (but not the quadrats) each year to support the repeated measures design. There are two tables available, providing different views of the same data: a long table having all values in one column and a wide table having a separate column for each observed object. Detailed methods are available in the protocols section. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
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License information was derived automatically
Context
The dataset tabulates the South Mansfield Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of South Mansfield, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of South Mansfield.
Key observations
Among the Hispanic population in South Mansfield, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 3 (100% of the total Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Origin for Hispanic or Latino population include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Mansfield Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the South Mansfield 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 South Mansfield. 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 239 (47.80% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Mansfield Population by Age. You can refer the same here