The red deer stock in Hungary increased over the considered period. In 2024, there were ******* red deer in the country compared to ****** in 2010.

About this dataset

Context

The dataset tabulates the Deer Trail 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 Deer Trail 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 Deer Trail was 1,513, a 9.08% increase year-by-year from 2022. Previously, in 2022, Deer Trail population was 1,387, an increase of 12.76% compared to a population of 1,230 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Deer Trail increased by 912. In this period, the peak population was 1,513 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

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

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Deer Trail is shown in this column.
• Year on Year Change: This column displays the change in Deer Trail 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 Deer Trail Population by Year. You can refer the same here

This data breaks down estimated hunters as well as antlered, antlerless and total harvest numbers by: * wildlife management unit (WMU) * calendar year Harvest and active hunter numbers are estimates based on replies received from a sample of resident hunters and are therefore subject to statistical error. Additional technical and statistical notes can be found in the data dictionary.

About this dataset

Context

The dataset tabulates the White Deer 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 White Deer 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 White Deer was 995, a 9.10% increase year-by-year from 2022. Previously, in 2022, White Deer population was 912, an increase of 1.45% compared to a population of 899 in 2021. Over the last 20 plus years, between 2000 and 2023, population of White Deer decreased by 67. In this period, the peak population was 1,062 in the year 2000. 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 White Deer is shown in this column.
• Year on Year Change: This column displays the change in White Deer 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 White Deer Population by Year. You can refer the same here

As of June 2024, there were approximately **** million deer livestock in New Zealand, a decrease from the previous year, when there were around **** million deer livestock in the country. The number of deer livestock has decreased significantly compared to the number recorded in the beginning of the measured period, 2014.

About this dataset

Context

The dataset tabulates the Deer Park 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 Deer Park 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 Deer Park was 302, a 0.66% decrease year-by-year from 2022. Previously, in 2022, Deer Park population was 304, a decline of 0% compared to a population of 304 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Deer Park decreased by 70. In this period, the peak population was 384 in the year 2011. 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 Deer Park is shown in this column.
• Year on Year Change: This column displays the change in Deer Park 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 Deer Park Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the White Deer township population by year. The dataset can be utilized to understand the population trend of White Deer township.

Content

The dataset constitues the following datasets

• White Deer Township, Pennsylvania Population Dataset: Yearly Figures, Population Change, and Percent Change 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/.

About this dataset

Context

The dataset tabulates the Brown Deer 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 Brown Deer 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 Brown Deer was 12,553, a 0.39% decrease year-by-year from 2022. Previously, in 2022, Brown Deer population was 12,602, a decline of 0.99% compared to a population of 12,728 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Brown Deer increased by 650. In this period, the peak population was 12,728 in the year 2021. 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 Brown Deer is shown in this column.
• Year on Year Change: This column displays the change in Brown Deer 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 Brown Deer Population by Year. You can refer the same here

Studies during the past six decades convincingly demonstrate that persistent browsing by native white-tailed deer (Odocoileus virginianus) eliminates the ability of eastern hemlock (Tsuga canadensis), white cedar (Thuja occidentalis), yellow birch (Betula alleghaniensis), and several other long-lived tree species to regenerate in forests of the upper Midwest and northeastern United States. The data shared here were used for three publications to date (see the Related Works section, below): The first is Alverson et al. 2019, which critically examined the relative contributions of deer versus snowshoe hare in reducing the growth and survival of eastern hemlock. The second is Alverson et al. 2024, a more detailed examination of growth and mortality rates of eastern hemlock, and the relationship of those two variables. The third is Waller et al. 2024, which explores the Regeneration Ratio, a new metric that integrates growth ("transit time" through the zone of vulnerability to browsing by deer and other herbivores) and mortality (half-life), and can be used to assess regeneration potential in populations of other tree species. (We are interested in collaborations to further test this metric for additional temperate and tropical species.) This is a rich data set from extensive fieldwork in northern Wisconsin and the western Upper Peninsula of Michigan, USA, from 1991 to 2011. It will be useful to others who wish to check our results, or examine specific subsets of data, e.g., the growth and mortality of specific size classes of hemlocks, behaviour of cohorts during a specific decade relative to regional changes in deer or hare abundance, or the characteristics of cohorts growing in specific ownerships. Although we examined the relationship of diameter and height, we did not consider allometry in detail in these publications. We encourage others to explore the allometry of these indigenous, juvenile hemlocks and would be happy to share the limited additional data that we have, upon request. Methods Site selection, study plot location, assignment of individual hemlocks to plots and exclosure treatment, and protocols for growth and mortality data, and for pellet counts, are fully described in W.S. Alverson and D.M. Waller, 1997. Deer populations and the failure of hemlock regeneration in northern forests. Pp. 280-297 in W.J. McShea et al., eds. The science of overabundance: Deer ecology and population management. Smithsonian Institution Press, Washington, DC. A description of the analyses, and a summary of protocols, are provided in W.S. Alverson, D.A. Riege, and D.M. Waller. 2024. Losing the slow race: How deer hinder growth, survival, and regeneration of juvenile hemlocks (Tsuga canadensis). Forest Ecology and Management. [https://doi.org/10.1016/j.foreco.2023.121466]

About this dataset

Context

The dataset tabulates the Deer Isle town 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 Deer Isle town 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 Deer Isle town was 2,135, a 0.42% decrease year-by-year from 2022. Previously, in 2022, Deer Isle town population was 2,144, a decline of 2.68% compared to a population of 2,203 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Deer Isle town increased by 256. In this period, the peak population was 2,203 in the year 2021. 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 Deer Isle town is shown in this column.
• Year on Year Change: This column displays the change in Deer Isle town 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 Deer Isle town Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Brown Deer population by year. The dataset can be utilized to understand the population trend of Brown Deer.

Content

The dataset constitues the following datasets

• Brown Deer, WI Population Dataset: Yearly Figures, Population Change, and Percent Change 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/.

About this dataset

Context

The dataset tabulates the Deer Lodge County 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 Deer Lodge County 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 Deer Lodge County was 9,673, a 1.35% increase year-by-year from 2022. Previously, in 2022, Deer Lodge County population was 9,544, an increase of 0.27% compared to a population of 9,518 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Deer Lodge County increased by 279. In this period, the peak population was 9,673 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

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

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Deer Lodge County is shown in this column.
• Year on Year Change: This column displays the change in Deer Lodge County 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 Deer Lodge County Population by Year. You can refer the same here

Game Feed Market Outlook

The global game feed market size is expected to witness substantial growth over the forecast period, with an anticipated CAGR of 6.5% from 2024 to 2032. In 2023, the market size was estimated at approximately USD 3.2 billion and is forecasted to reach around USD 5.5 billion by 2032. The growth of this market is primarily driven by the increasing awareness about the health and nutritional needs of game animals, coupled with the rising popularity of game hunting and wildlife conservation activities.

A significant growth factor in the game feed market is the increased focus on wildlife conservation and management. Governments and non-profit organizations worldwide are investing heavily in wildlife preservation efforts, which include ensuring that game animals receive adequate nutrition. These initiatives often involve the use of specialized game feeds to maintain healthy populations of deer, pheasants, ducks, turkeys, and other game animals. The growing emphasis on sustainable hunting practices has also played a critical role in boosting the demand for high-quality game feed products.

Another major factor propelling the growth of the game feed market is the rising popularity of recreational hunting and wildlife tourism. As more individuals engage in hunting as a leisure activity, there is a corresponding increase in the demand for game feed to support game populations. This trend is particularly prominent in North America and Europe, where hunting is a deeply ingrained part of the cultural fabric. Additionally, the expansion of wildlife tourism in regions such as Africa and Asia Pacific has further fueled the demand for game feed, as maintaining healthy game populations is essential for attracting tourists.

The advancement in feed formulation technologies has also contributed significantly to the market's growth. Manufacturers are increasingly focusing on developing specialized feed products that cater to the unique nutritional requirements of different game animals. These advanced formulations often include a balanced mix of proteins, vitamins, minerals, and other essential nutrients, which enhance the overall health and growth of game animals. The availability of such high-quality feed products has made it easier for wildlife managers and hunters to ensure the well-being of game populations, thereby driving market demand.

Regionally, North America holds the largest share in the game feed market, owing to the robust hunting culture and well-established wildlife management practices in the region. The United States, in particular, is a major contributor to the market's growth, with a significant number of hunters and wildlife enthusiasts driving the demand for game feed. Europe also represents a substantial market, with countries like the United Kingdom, Germany, and France actively involved in wildlife conservation efforts. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by increasing wildlife tourism and conservation initiatives in countries such as India, China, and Australia.

Product Type Analysis

The game feed market can be segmented by product type into pellets, powders, blocks, and liquids. Each of these product types offers unique benefits and caters to different needs of game animals and their keepers. Pellets, for example, are one of the most popular forms of game feed due to their ease of use and balanced nutritional content. They are typically designed to provide a comprehensive diet that meets the various nutritional requirements of game animals, making them a preferred choice among hunters and wildlife managers.

Powders are another significant segment within the game feed market. These products are often used to supplement the diets of game animals with specific nutrients that may be lacking in their natural forage. Powdered game feeds are typically easy to mix with other feed types or scatter over feeding areas, making them a versatile option for wildlife managers. Additionally, powders can be formulated to address specific health issues or growth requirements, providing targeted nutritional support to game populations.

Blocks represent a convenient and long-lasting option for game feed. These compressed feed products are designed to be placed in feeding areas where game animals can access them over an extended period. Blocks are particularly useful in remote or hard-to-reach locations where regular feeding is not feasible. They provide a steady source of nutrition and can help maintain healthy game populatio

About this dataset

Context

The dataset tabulates the data for the White Deer, TX population pyramid, which represents the White Deer population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 White Deer, TX, is 33.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for White Deer, TX, is 22.6.
• Total dependency ratio for White Deer, TX is 56.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for White Deer, TX is 4.4.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 White Deer population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the White Deer for the selected age group is shown in the following column.
• Population (Female): The female population in the White Deer for the selected age group is shown in the following column.
• Total Population: The total population of the White Deer 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 White Deer Population by Age. You can refer the same here

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• White Deer, TX Age Group Population Dataset: A complete breakdown of White Deer age demographics from 0 to 85 years, distributed across 18 age groups
• White Deer, TX Age Cohorts Dataset: Children, Working Adults, and Seniors in White Deer - Population and Percentage Analysis
• White Deer, TX 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/.

About this dataset

Context

The dataset tabulates the Deer Creek township 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 Deer Creek township 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 Deer Creek township was 399, a 0.25% decrease year-by-year from 2022. Previously, in 2022, Deer Creek township population was 400, an increase of 0.50% compared to a population of 398 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Deer Creek township increased by 52. In this period, the peak population was 400 in the year 2022. 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 Deer Creek township is shown in this column.
• Year on Year Change: This column displays the change in Deer Creek township 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 Deer Creek township Population by Year. You can refer the same here

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• Brown Deer, WI Age Group Population Dataset: A complete breakdown of Brown Deer age demographics from 0 to 85 years, distributed across 18 age groups
• Brown Deer, WI Age Cohorts Dataset: Children, Working Adults, and Seniors in Brown Deer - Population and Percentage Analysis
• Brown Deer, WI 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/.

About this dataset

Context

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

Key observations

The largest age group in Deer Trail, CO was for the group of age Under 5 years years with a population of 138 (15.27%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Deer Trail, CO was the 80 to 84 years years with a population of 6 (0.66%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Deer Trail is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Deer Trail 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 Deer Trail Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Brown Deer, WI population pyramid, which represents the Brown Deer population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Brown Deer, WI, is 25.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Brown Deer, WI, is 30.8.
• Total dependency ratio for Brown Deer, WI is 56.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Brown Deer, WI is 3.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Brown Deer population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Brown Deer for the selected age group is shown in the following column.
• Population (Female): The female population in the Brown Deer for the selected age group is shown in the following column.
• Total Population: The total population of the Brown Deer 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 Brown Deer Population by Age. You can refer the same here