About this dataset

Context

The dataset tabulates the Bean Station 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 Bean Station 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 Bean Station was 3,071, a 1.45% increase year-by-year from 2022. Previously, in 2022, Bean Station population was 3,027, an increase of 1.65% compared to a population of 2,978 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Bean Station decreased by 374. In this period, the peak population was 3,776 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 Bean Station is shown in this column.
• Year on Year Change: This column displays the change in Bean Station 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 Bean Station Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Moore Station 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 Moore Station. The dataset can be utilized to understand the population distribution of Moore Station by age. For example, using this dataset, we can identify the largest age group in Moore Station.

Key observations

The largest age group in Moore Station, TX was for the group of age 55 to 59 years years with a population of 52 (22.32%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Moore Station, TX was the 80 to 84 years years with a population of 0 (0%). 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 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 Moore Station is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Moore Station 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 Moore Station Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Campbell Station 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 Campbell Station 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 Campbell Station was 227, a 0% decrease year-by-year from 2022. Previously, in 2022, Campbell Station population was 227, a decline of 0.87% compared to a population of 229 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Campbell Station decreased by 2. In this period, the peak population was 255 in the year 2010. 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 Campbell Station is shown in this column.
• Year on Year Change: This column displays the change in Campbell Station 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 Campbell Station Population by Year. You can refer the same here

Dataset Abstract Human populations by county for the counties surrounding KBS. These numbers are extracted from US census data. original data source http://lter.kbs.msu.edu/datasets/56

About this dataset

Context

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

Key observations

There is a slight majority of male population, with 52.36% 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 Moore Station is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Moore Station 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 Moore Station Population by Race & Ethnicity. You can refer the same here

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

1. Mechanisms for maintaining biodiversity are still unclear despite considerable research. The classic theory predicts that stable co‐occurrence of competitive species requires niche differentiation. In fact, the co‐occurring species are often differentiated from each other. However, the neutral theory assuming equivalence of the reproductive rate of all individuals regardless of the species in a biological community has successfully recreated the observed patterns of species abundance distribution. This success is based on the unrealistic assumption suggesting that some mechanisms eliminate interspecific differences in the reproductive rates.
2. Here, I present sexual selection as a candidate of the mechanisms by constructing analytical and simulation models. Sexual selection affects the traits that increase mating success even at the expense of fecundity when the species is abundant. By contrast, when the species is at a relatively low density, this negative effect on fecundity is mitigated because less competition for mating occurs in the rare species.
3. The analytical model of this effect on fecundity predicted that sexual organisms stop population growth before exhausting resources due to the effect. This prediction was confirmed by simulation models. The simulations also showed that hundreds of competitive species with interspecific differences in reproductive potential can coexist over 10,000 generations. Moreover, species abundance distributions obtained from the simulations were similar to the patterns observed in field data. Given the generality of sexual reproduction in nature, sexual selection is likely to play a significant role in sustaining biodiversity over a broad range of environments.
4. Synthesis. Evolution does not always maximize population growth rate. This study shows that evolution of sexual selection controls the population growth rate according to density and stabilizes the population size. This stabilizing effect has a potential to rescue endangered species from extinction, prevent overgrowth of common species, promote coexistence of competitive species, and successfully recreate the observed patterns of species abundance distribution.

MDS07 - Average Distance of Population to Nearest Public Transport Stop. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Average Distance of Population to Nearest Public Transport Stop...

About this dataset

Context

The dataset tabulates the College Station 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 College Station. The dataset can be utilized to understand the population distribution of College Station by age. For example, using this dataset, we can identify the largest age group in College Station.

Key observations

The largest age group in College Station, TX was for the group of age 20 to 24 years years with a population of 32,962 (26.96%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in College Station, TX was the 85 years and over years with a population of 764 (0.62%). 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 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 College Station is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of College Station 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 College Station Population by Age. You can refer the same here

Analysis of ‘MDS07 - Average Distance of Population to Nearest Public Transport Stop’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/5a9e6b8d-9bc1-4c83-8d74-26993a6a65b2 on 12 January 2022.

--- Dataset description provided by original source is as follows ---

Average Distance of Population to Nearest Public Transport Stop

--- Original source retains full ownership of the source dataset ---

The urban region of the Indian state of Gujarat had over 288 thousand people per police station as of January 2022. By contrast, rural Arunachal Pradesh had almost nine thousand people per police station.

This dataset is about: Picoplankton population estimates at station TT054_2-7.

The rural region of the Indian state of Assam had over 321 thousand people per police station as of January 2022. By contrast, rural Sikkim had over 20 thousand people per police station during the same time period.

DOI retrieved: 2003

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains human population (total) measurements in number units and were aggregated to a yearly timescale.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Robertson County, TX (B03002003E048395) from 2009 to 2023 about Robertson County, TX; College Station; white; TX; non-hispanic; estimate; persons; 5-year; population; and USA.

Disability, Independence and Dependency Situations Survey: Population with disabiltiies that has stopped working, according to the reason why they stopped working, by age and sex. National.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

The following dataset from Konza Prairie (KNZ) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

About this dataset

Context

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

Key observations

There is a slight majority of male population, with 50.54% 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 Pilot Station is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Pilot Station 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 Pilot Station Population by Race & Ethnicity. You can refer the same here

The COVID-19 pandemic forced the French government to implement certain restrictions in 2020. The main option to stop the spread of the virus was the lockdown that year. The implementation of a second lockdown was generally well accepted by the French population, as with the first containment. However, nearly one-third of the French population was opposed to the introduction of such a measure for the second time in 2020.