About this dataset

Context

The dataset tabulates the Florida 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 Florida 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 2024, the population of Florida was 23.37 million, a 2.04% increase year-by-year from 2023. Previously, in 2023, Florida population was 22.9 million, an increase of 2.35% compared to a population of 22.38 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of Florida increased by 7.33 million. In this period, the peak population was 23.37 million in the year 2024. 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 2024

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2024)
• Population: The population for the specific year for the Florida is shown in this column.
• Year on Year Change: This column displays the change in Florida 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 Florida Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the South Miami 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 South Miami 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 South Miami was 12,073, a 2.85% increase year-by-year from 2022. Previously, in 2022, South Miami population was 11,739, a decline of 0.56% compared to a population of 11,805 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South Miami increased by 1,458. In this period, the peak population was 12,092 in the year 2017. 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 South Miami is shown in this column.
• Year on Year Change: This column displays the change in South Miami 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 South Miami Population by Year. You can refer the same here

Graph and download economic data for Resident Population in Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (MIMPOP) from 2000 to 2024 about Miami, FL, residents, population, and USA.

About this dataset

Context

The dataset tabulates the South Bay 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 South Bay 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 South Bay was 4,861, a 0.08% increase year-by-year from 2022. Previously, in 2022, South Bay population was 4,857, a decline of 0.16% compared to a population of 4,865 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South Bay increased by 1,021. In this period, the peak population was 5,200 in the year 2019. 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 South Bay is shown in this column.
• Year on Year Change: This column displays the change in South Bay 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 South Bay Population by Year. You can refer the same here

In this time period, the Hispanic population of North Dakota increased by 414 percent, while the Hispanic population of South Dakota increased by 360 percent, the two highest growths in the United States. In 2023, California, Texas, and Florida registered the largest Hispanic or Latino population in the U.S.

About this dataset

Context

The dataset tabulates the data for the South Palm Beach, FL population pyramid, which represents the South Palm Beach 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 South Palm Beach, FL, is 8.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for South Palm Beach, FL, is 164.5.
• Total dependency ratio for South Palm Beach, FL is 172.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for South Palm Beach, FL is 0.6.

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

Model selection for survival probabilities (Φ) of American crocodiles (Crocodylus acutus) in South Florida.

Model selection table for growth analysis of American crocodiles (Crocodylus acutus) in South Florida.

About this dataset

Context

The dataset tabulates the South Daytona 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 South Daytona 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 South Daytona was 13,781, a 0.90% increase year-by-year from 2022. Previously, in 2022, South Daytona population was 13,658, an increase of 2.51% compared to a population of 13,323 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South Daytona increased by 202. In this period, the peak population was 13,797 in the year 2007. 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 South Daytona is shown in this column.
• Year on Year Change: This column displays the change in South Daytona 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 South Daytona Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the South Palm Beach 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 South Palm Beach 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 South Palm Beach was 1,458, a 0% decrease year-by-year from 2022. Previously, in 2022, South Palm Beach population was 1,458, a decline of 0.21% compared to a population of 1,461 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South Palm Beach increased by 3. In this period, the peak population was 1,503 in the year 2019. 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 South Palm Beach is shown in this column.
• Year on Year Change: This column displays the change in South Palm Beach 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 South Palm Beach Population by Year. You can refer the same here

Multivariate linear regression analysis of body condition of American crocodiles (Crocodylus acutus) captured in South Florida from 1978–2015.

About this dataset

Context

The dataset tabulates the data for the South Miami, FL population pyramid, which represents the South Miami population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 South Miami, FL, is 23.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for South Miami, FL, is 23.5.
• Total dependency ratio for South Miami, FL is 46.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for South Miami, FL is 4.3.

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

IMMAGE will develop a coupled GIS-enabled web-based decision support (DS) framework to provide interactive model-based scenarios to evaluate the potential impact of sea level rise on water supply, inland flooding, storm surge, and habitat management in South Florida. The DS framework will be developed to allow scientists, local planners and resource managers to evaluate the impact of sea level rise on: 1. salt water intrusion into coastal water well fields, 2. the optimal use of canals to impede the inland movement of saline groundwater, 3. urban flooding, 4. the risk to populated areas and natural habitat from catastrophic storm surge, 5. wetland inundation periods and depths, 6. habitat suitability, 7. magnitude and distribution of future population growth, and 8. the impact of forecasted population growth on water demand and protected areas. The IMMAGE project will address the need to run the model with changing input parameters by developing a framework of online GIS-based interfaces to four selected models, thereby enhancing their usability and making them available to a broader user community.

An interdisciplinary and multiagency study was completed to understand harmful algal bloom dynamics by describing the spatial and temporal patterns and drivers of phytoplankton community structure and cyanotoxin and cyanotoxin-gene concentrations in Lake Okeechobee and Okeechobee Waterways in South Florida. The Waterway includes the Caloosahatchee and St. Lucie Rivers which drain the lake westward to the Gulf of Mexico and eastward to the Atlantic Ocean, respectively. Algae and cyanobacteria play crucial roles in aquatic ecosystems, but under favorable environmental conditions certain taxa experience population growth booms resulting in harmful algal blooms. Cyanobacteria are considered the most common bloom-formers in freshwaters and can be particularly devastating due to the diversity and potency of the cyanotoxins they can produce. A dataset was compiled that contains phytoplankton community composition and abundance data for 21 sites sampled monthly from March 2019 through Oct ...

About this dataset

Context

The dataset tabulates the South Pasadena population by year. The dataset can be utilized to understand the population trend of South Pasadena.

Content

The dataset constitues the following datasets

• South Pasadena, FL 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 data for the South Bay, FL population pyramid, which represents the South Bay population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 South Bay, FL, is 12.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for South Bay, FL, is 12.5.
• Total dependency ratio for South Bay, FL is 24.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for South Bay, FL is 8.0.

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

This feature class represents the 2022 wetlands and waterbodies of Orange County, Florida that were digitized using Aerial Photo Interpretation (API) from existing georeferenced aerial imagery obtained from the Government of Orange County, FL for 2022 and previously developed Land Use/Land Cover (LULC) layers that utilized the Florida’s Land Cover Classification System (FLUCCS) for 2014-2016 obtained from the St. Johns River Water Management District (SJRWMD) and for 2017-2019 obtained South Florida Water Management District (SFWMD). In 2022, Applied Ecology Inc. (AEI) began the process of creating and updating wetland and waterbody feature classes to reflect historical and current land cover conditions for the years 1990, 2000, 2010 and 2022 in order to analyze change over time and the impacts that population growth has had on the wetlands of Orange County, Florida for Orange Counties Board of County Commissioners (BCC) and the State of the Wetlands report. The feature classes that were created for this project consolidated the FLUCCS data down to eight land cover classifications that include wet prairies, fresh water marshes, mixed scrub-shrub wetlands, hydric pine flatwoods, mixed wetland forests, Cypress wetlands, other wetlands and water. During the API process wetlands that were not initially in the previously existing land cover data from 2014 through 2019 were digitized, wetlands included in the land cover layers that were not present in the aerial imagery were removed, and the boundaries of existing wetlands were modified, if required, to reflect the data provided in the aerial imagery. In addition, any wetlands that were determined to be a different land cover type during the API process were revised to reflect the change in land cover classification.

About this dataset

Context

The dataset tabulates the data for the South Daytona, FL population pyramid, which represents the South Daytona 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 South Daytona, FL, is 21.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for South Daytona, FL, is 35.2.
• Total dependency ratio for South Daytona, FL is 56.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for South Daytona, FL is 2.8.

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

About this dataset

Context

The dataset tabulates the data for the South Pasadena, FL population pyramid, which represents the South Pasadena 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 South Pasadena, FL, is 8.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for South Pasadena, FL, is 173.4.
• Total dependency ratio for South Pasadena, FL is 182.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for South Pasadena, FL is 0.6.

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

About this dataset

Context

The dataset tabulates the South Pasadena 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 South Pasadena 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 South Pasadena was 5,288, a 0.56% decrease year-by-year from 2022. Previously, in 2022, South Pasadena population was 5,318, a decline of 0.26% compared to a population of 5,332 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South Pasadena decreased by 75. In this period, the peak population was 5,363 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 South Pasadena is shown in this column.
• Year on Year Change: This column displays the change in South Pasadena 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 South Pasadena Population by Year. You can refer the same here