About this dataset

Context

The dataset tabulates the Melville 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 Melville 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 Melville was 749, a 0.27% decrease year-by-year from 2022. Previously, in 2022, Melville population was 751, a decline of 0.66% compared to a population of 756 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Melville decreased by 639. In this period, the peak population was 1,413 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 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 Melville is shown in this column.
• Year on Year Change: This column displays the change in Melville 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 Melville Population by Year. You can refer the same here

Comprehensive demographic dataset for Melville, MT, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the Melville population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Melville. The dataset can be utilized to understand the population distribution of Melville by age. For example, using this dataset, we can identify the largest age group in Melville.

Key observations

The largest age group in Melville, LA was for the group of age 10-14 years with a population of 58 (10.32%), according to the 2021 American Community Survey. At the same time, the smallest age group in Melville, LA was the 20-24 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Melville is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Melville 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 Melville Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Melville, LA population pyramid, which represents the Melville population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Melville, LA, is 50.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Melville, LA, is 52.4.
• Total dependency ratio for Melville, LA is 102.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Melville, LA is 1.9.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Melville population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Melville for the selected age group is shown in the following column.
• Population (Female): The female population in the Melville for the selected age group is shown in the following column.
• Total Population: The total population of the Melville for the selected age group 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 Melville Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Melville by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Melville. The dataset can be utilized to understand the population distribution of Melville by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Melville. 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 Melville.

Key observations

Largest age group (population): Male # 10-14 years (58) | Female # 40-44 years (37). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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

• Age Group: This column displays the age group for the Melville population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Melville is shown in the following column.
• Population (Female): The female population in the Melville is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Melville for each age group.

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 Melville Population by Gender. You can refer the same here

Parameter estimates for the between-year population dynamics are from [27] for the generic population, and from [30] for the Viscount Melville population; estimates for the within-year mating dynamics are from [15].These probabilities did not differ significantly between males and females in the study population [30]; the sex-specific estimates of [30] were therefore averaged between males and females.& Calculated from the mean litter sizes (LS) reported in the source studies, using c1+2c2 = LS and c1+c2 = 1 (i.e., assuming triplet litters do not occur).sL0, sL1 and f were calculated from sC, sY, c1, and c2 using the formulae in Appendix B of [28].Habitat area corresponding to the total marine area within the population boundaries; three scenarios were considered, with mating bears concentrating in 15.5%, 50% or 100% of this habitat area, respectively (cf. text for details).

Demographics, population, housing, income, education, schools, and geography for ZIP Code 11747 (Melville, NY). Interactive charts load automatically as you scroll for improved performance.

This data set brings together data acquired with a Digital Camera, ISEA Chemistry Probe, and Temperature Probe during Melville expedition MGLN07MV conducted in 2006 (Chief Scientist: Dr. Charles Fisher; Investigator(s): Elizabeth Podowski, Dr. Charles Fisher, and Dr. George Luther). These data files are of Shapefile format and include Electrochemistry, Species Distribution, and Temperature data. Data were acquired as part of the project(s): Collaborative Research: Site evaluations and background studies of interactions among fluid chemistry, physiology, and community ecology for Ridge 2000 Lau Basin Integrated Studies and Bacterial population structure: evaluating gene flow in the symbionts of deep-sea mussels, and funding was provided by NSF grant(s): OCE02-40896, OCE02-40982, OCE02-40985, OCE02-41250, and OCE04-53901. This data was cited by Podowski et al., 2010.

Allee effects are an important component in the population dynamics of numerous species. Accounting for these Allee effects in population viability analyses generally requires estimates of low-density population growth rates, but such data are unavailable for most species and particularly difficult to obtain for large mammals. Here, we present a mechanistic modeling framework that allows estimating the expected low-density growth rates under a mate-finding Allee effect before the Allee effect occurs or can be observed. The approach relies on representing the mechanisms causing the Allee effect in a process-based model, which can be parameterized and validated from data on the mechanisms rather than data on population growth. We illustrate the approach using polar bears (Ursus maritimus), and estimate their expected low-density growth by linking a mating dynamics model to a matrix projection model. The Allee threshold, defined as the population density below which growth becomes negative, is shown to depend on age-structure, sex ratio, and the life history parameters determining reproduction and survival. The Allee threshold is thus both density- and frequency-dependent. Sensitivity analyses of the Allee threshold show that different combinations of the parameters determining reproduction and survival can lead to differing Allee thresholds, even if these differing combinations imply the same stable-stage population growth rate. The approach further shows how mate-limitation can induce long transient dynamics, even in populations that eventually grow to carrying capacity. Applying the models to the overharvested low-density polar bear population of Viscount Melville Sound, Canada, shows that a mate-finding Allee effect is a plausible mechanism for slow recovery of this population. Our approach is generalizable to any mating system and life cycle, and could aid proactive management and conservation strategies, for example, by providing a priori estimates of minimum conservation targets for rare species or minimum eradication targets for pests and invasive species.

Twenty-one narwhals tagged in 2003 and 2004 in Admiralty Inlet showed a different summer distributional pattern than previous narwhal-tracking studies from Somerset Island, Eclipse Sound and Melville Bay. The migration of the narwhals tracked from Admiralty Inlet moved out through Lancaster Sound 15 days earlier (P <0.0001) than the narwhals summering around Eclipse Sound, whereas the Admiralty Inlet narwhals reached the mouths of Eclipse Sound 18 days later (P <0.0001) than the Eclipse Sound summering population. The winter range of the Admiralty Inlet narwhals overlapped with the winter range of narwhals from Melville Bay and Eclipse Sound in central southern Baffin Bay and Northern Davis Strait, but not with the winter range of narwhals from Somerset Island that wintered further north. Distribution size of range, and population size did not appear to be related. An example of considerable year to year variation between area of summer and winter distribution in the 2 years was believed to be related to the sample size and number of pods of whales tagged, rather than to differences in sex or age classes.

Genomic diversity is a fundamental component of Earth's total biodiversity and requires explicit consideration in efforts to conserve biodiversity. To conserve genomic diversity, it is necessary to measure its spatial distribution and quantify the contribution that any intraspecific evolutionary lineages make to overall genomic diversity. Here, we describe the range-wide population genomic structure of a threatened Australian rodent, the black-footed tree-rat (Mesembriomys gouldii), aiming to provide insight into the timing and extent of population declines across a large region with a dearth of long-term monitoring data. By estimating recent trajectories in effective population sizes at four localities, we confirm widespread population decline across the species' range, but find that the population in the peri-urban area of the Darwin region has been more stable. Based on current sampling, the Melville Island population made the greatest contribution to overall allelic richness of the species, and the prioritisation analysis suggested that conservation of the Darwin and Cobourg Peninsula populations would be the most cost-effective scenario to retain more than 90% of all alleles. Our results broadly confirm current sub-specific taxonomy and provide crucial data on the spatial distribution of genomic diversity to help prioritise limited conservation resources. Along with additional sampling and genomic analysis from the far eastern and western edges of the black-footed tree-rat distribution, we suggest a range of conservation and research priorities that could help improve black-footed tree-rat population trajectories at large and fine spatial scales, including the retention and expansion of structurally complex habitat patches.

About this dataset

Context

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

Key observations

The percent distribution of Melville population by race (across all racial categories recognized by the U.S. Census Bureau): 38.16% are white, 56.73% are Black or African American and 5.12% are multiracial.

Content

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:

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

Demographics, population, housing, income, education, schools, and geography for ZIP Code 59055 (Melville, MT). Interactive charts load automatically as you scroll for improved performance.

Aerial surveys of narwhals (Monodon monoceros) were conducted in the Canadian High Arctic during the month of August from 2002 to 2004. The surveys covered the waters of Barrow Strait, Prince Regent Inlet, the Gulf of Boothia, Admiralty Inlet, Eclipse Sound, and the eastern coast of Baffin Island, using systematic sampling methods. Fiords were flown along a single transect down the middle. Near-surface population estimates increased by 1.9%-8.7% when corrected for perception bias. The estimates were further increased by a factor of approximately 3, to account for individuals not seen because they were diving when the survey plane flew over (availability bias). These corrections resulted in estimates of 27 656 (SE = 14 939) for the Prince Regent and Gulf of Boothia area, 20 225 (SE = 7285) for the Eclipse Sound area, and 10 073 (SE = 3123) for the East Baffin Island fiord area. The estimate for the Admiralty Inlet area was 5362 (SE = 2681) but is thought to be biased. Surveys could not be done in other known areas of occupation, such as the waters of the Cumberland Peninsula of East Baffin, and channels farther west of the areas surveyed (Peel Sound, Viscount Melville Sound, Smith Sound and Jones Sound, and other channels of the Canadian Arctic archipelago). Despite these probable biases and the incomplete coverage, results of these surveys show that the summering range of narwhals in the Canadian High Arctic is vast. If narwhals are philopatric to their summering areas, as they appear to be, the total population of that range could number more than 60 000 animals. The largest numbers are in the western portion of their summer range, around Somerset Island, and also in the Eclipse Sound area. However, these survey estimates have large variances due to narwhal aggregation in some parts of the surveyed areas.

Table 3: Population estimates for Black-backed jackals (Lupulella mesomelas) in the grassland habitat on Telperion Nature Reserve, from April to June 2017, based on home range estimates, using the minimum convex polygon method, from a previous study in asimilar habitat

These photomosaics are derived from Digital Photos acquired with a forward-looking camera on the ROV Jason II during Melville expedition MGLN07MV conducted in 2006 (Chief Scientist: Dr. Charles Fisher; Investigator(s): Dr. Charles Fisher and Erin Becker). These photomosaics are of JPEG Image format and were processed after data collection. Data were acquired as part of the project(s): Collaborative Research: Site evaluations and background studies of interactions among fluid chemistry, physiology, and community ecology for Ridge 2000 Lau Basin Integrated Studies and Bacterial population structure: evaluating gene flow in the symbionts of deep-sea mussels, and funding was provided by NSF grant(s): OCE02-40896, OCE02-40982, OCE02-40985, OCE02-41250, and OCE04-53901.

Migratory species can travel tens of thousands of kilometers each year, spending different parts of their annual cycle in geographically distinct locations. Understanding the drivers of population change is vital for conserving migratory species, yet the challenge of collecting data over entire geographic ranges has hindered attempts to identify the processes leading to observed population changes. Here, we use remotely sensed environmental data and count data to investigate the factors driving variability in abundance in two subspecies of a long-distance migratory shorebird, the bar-tailed godwit (Limosa lapponica). We compiled a spatially and temporally explicit dataset of three environmental variables to identify the conditions experienced by each subspecies in each stage of their annual cycle (breeding, non-breeding and staging). We used a Bayesian N-mixture model to analyze 18 years of monthly count data from 21 sites across Australia and New Zealand in relation to the remote sensing datasets. We found that the abundance of one subspecies (L. l. menzbieri) in their non-breeding range was related to climate conditions in breeding grounds, and detected sustained population declines between 1995 and 2012 in both subspecies (L. l. menzbieri, -6.7% and L. l. baueri, -2.1% year-1). To investigate the possible causes of the declines, we quantified changes in habitat extent at 22 migratory staging sites in the Yellow Sea, East Asia, over a 25-year period and found -1.7% and -1.2% year-1 loss of habitat at staging sites used by L. l. menzbieri and L. l baueri, respectively. Our results highlight the need to identify environmental and anthropogenic drivers of population change across all stages of migration to allow the formulation of effective conservation strategies across entire migratory ranges.

This data set was acquired with a Navigation system on the ROV Jason II during Melville expedition MGLN07MV conducted in 2006 (Chief Scientist: Dr. Charles Fisher; Investigator(s): Dr. Vicki Ferrini). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection. Data were acquired as part of the project(s): Collaborative Research: Site evaluations and background studies of interactions among fluid chemistry, physiology, and community ecology for Ridge 2000 Lau Basin Integrated Studies and Bacterial population structure: evaluating gene flow in the symbionts of deep-sea mussels, and funding was provided by NSF grant(s): OCE02-40896, OCE02-40982, OCE02-40985, OCE02-41250, and OCE04-53901.

Table 1: Velocity of Black-backed jackal (Lupulella mesomelas) movements on Telperion Nature Reserve from April to June 2017.

This data set was acquired with a Video Camera on the ROV Jason II during Melville expedition MGLN07MV conducted in 2006 (Chief Scientist: Dr. Charles Fisher). These data files are of Google Earth (KML/KMZ) format include photos and vehicle navigation information. Data were acquired as part of the project(s): Collaborative Research: Site evaluations and background studies of interactions among fluid chemistry, physiology, and community ecology for Ridge 2000 Lau Basin Integrated Studies and Bacterial population structure: evaluating gene flow in the symbionts of deep-sea mussels, and funding was provided by NSF grant(s): OCE02-40896, OCE02-40982, OCE02-40985, OCE02-41250, and OCE04-53901.