About this dataset

Context

The dataset tabulates the Orlando 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 Orlando 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 Orlando was 320,742, a 1.55% increase year-by-year from 2022. Previously, in 2022, Orlando population was 315,859, an increase of 1.93% compared to a population of 309,885 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Orlando increased by 125,332. In this period, the peak population was 320,742 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 Orlando is shown in this column.
• Year on Year Change: This column displays the change in Orlando 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 Orlando Population by Year. You can refer the same here

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

Chart and table of population level and growth rate for the Orlando metro area from 1950 to 2025.

The central Florida area is experiencing significant population growth and this growth is projected to continue through the current 2025 water supply planning horizon. Associated with this projected population growth are projected significant increases in public water supply needs. The Floridan aquifer has historically supplied almost all of the water for use by public supply systems in the central Florida area. Three water management districts; the South Florida Water Management District (SFWMD), the St. Johns River Water Management District (SJRWMD), and the Southwest Florida Water Management District (SWFWMD) have jurisdiction in the area. These three water management districts have concluded that the Floridan aquifer, currently the primary source of water supply, cannot sustain the quantities of projected total water use through 2025 without unacceptable impacts to water resources and related natural systems, including unacceptable impacts to lakes, wetlands, springs, and groundwater quality.

Graph and download economic data for Total Gross Domestic Product for Orlando-Kissimmee-Sanford, FL (MSA) (NGMP36740) from 2001 to 2023 about Orlando, FL, industry, GDP, and USA.

Financial overview and grant giving statistics of Central Florida Development Council Inc

In 2023, the population of the Orlando-Kissimmee-Sanford metropolitan area in the United States was about 2.81 million people. This is a slight increase from the previous year, when the population was about 2.76 million people.

This dataset tracks annual total students amount from 2009 to 2023 for The Florida Center For Child And Family Development

These data summarize survival and plant size (height, basal diameter) for south Florida slash pine (Pinus elliottii var. densa) in four seasonal ponds at Archbold Biological Station from 1992-2001. Plants were seedlings, saplings, or small trees. The seasonal ponds were favorable for growth (0.1-0.6 m in height per year) and annual survival (usually over 80%) in the absence of fire or major flooding events. Flooding episodes during most of the study ranged from 3-11 months each year. Mortality increased with flooding intensity and decreased with plant size. Growth rates were not affected by flooding. Near the end of the study, two fires killed 72% of these pines (low intensity, prescribed) and 100% of these pines (intense wildfire). The study suggests that most seasonal ponds do not support large south Florida slash pine individuals despite generally favorable conditions, because of periodic flooding and fire.

This dataset tracks annual asian student percentage from 2004 to 2023 for Melbourne Center For Personal Growth vs. Florida and Brevard School District

We measured responses in 46 species of resprouting plants of Florida scrub and related habitats at Archbold Biological Station following 15 single fires from 2006-2012. Resprouting species were grouped into seven species groups and four habitat types. Burns occurred during either the wet, dry or fire season as defined by Platt et al. 2015. Fire temperatures and residence times were recorded using HOBO data loggers at the base of each marked plant. Survival and growth measures were recorded pre- and for up to eight years post-fire. Fires had variable intensities with maximum temperatures ranging from 47-890 degrees C (mean 549 degrees C) and residence times ranging from 0-83 minutes (mean ten). Consumed plants experienced higher fire intensity than scorched plants, and residence times were higher during the fire season and with drier conditions. Across all species affected by fire, 86% of plants survived and resprouted post-fire. First year survival was unrelated to fire variables with high survival across all maximum temperatures and residence times. Burn season, habitat, and species group did not significantly affect survival. On average across all species, post-fire growth recovered to pre-fire heights within four years. RGR was significantly affected by species group and burn season. Herbs and palmettos recovered relatively rapidly. Recovery was slowest during the fire season, and fastest after burns conducted in the fire season. Resprouting perennial plants that dominate Florida scrub and surrounding habitats appear resilient to a wide range of fire intensities, as measured by maximum temperatures and residence times. Post-fire growth was rapid, with recovery of pre-fire heights in four years. Species groups varied in post-fire recovery rates. In these habitats, fire is critical to maintain the habitat structure for many animals and plants, including many rare species. The slower recovery of biomass for some species like oaks, results in the longer availability of gaps for these rare species. In addition, variability in post-fire survival and growth among species groups likely contributes to the persistence of species diversity and complexity across habitats. However, variation in fire intensity will have little effect on species composition and habitat structure. A range of fire regimes can be used in management without having major impacts on resprouting plants in Florida scrub and related vegetation.

This dataset tracks annual diversity score from 1999 to 2023 for Melbourne Center For Personal Growth vs. Florida and Brevard School District

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 2023, the population of Florida was 213, a 0% decrease year-by-year from 2022. Previously, in 2022, Florida population was 213, a decline of 1.39% compared to a population of 216 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Florida decreased by 35. In this period, the peak population was 250 in the year 2004. 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 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

This dataset tracks annual two or more races student percentage from 2012 to 2020 for Melbourne Center For Personal Growth vs. Florida and Brevard School District

Central Florida Tourism Oversight District formerly known as, Reedy Creek Improvement District (the “District”) is a local government entity, created in 1967 by a special Act of the Florida Legislature, the purpose of which is to support and administer certain aspects of the economic development and tourism within District boundaries.

This dataset tracks annual free lunch eligibility from 1997 to 2023 for Melbourne Center For Personal Growth vs. Florida and Brevard School District

GEMM is a 5 year project to understand and quantify ground water exchange effects relatating to Florida Bay and contributing fresh water inputs. The Groundwater Exchange Modeling and Monitoring (GEMM) Plan was created to provide a framework to address the uncertainties associated with landscape-scale flow patterns and impediments, SW-GW interactions, impacts of seepage eastward on GW movements south to Florida Bay, and the influence of water management on Florida Bay salinity, especially in the central Florida Bay region. A conceptual model of the drivers and interactions associated with central Florida Bay salinity (see attached work plan document) will guide the assessment of existing knowledge on GW influence in central Florida Bay, the development of a surface and porewater salinity emulator tool for coastal Florida Bay, and the collection of critical information where data gaps currently exist.

The overarching goal of GEMM is to understand how increases in water to Shark River Slough (SRS) and Taylor Slough (TS) decrease salinities in Florida Bay. There are two broad objectives of GEMM: 1) Determine how changes in upstream water management in SRS and/or TS decrease salinities in Central Florida Bay. 1a- Create a salinity emulator model by linking a density-dependent hydrodynamic model (BISECT) with the output of the District’s water management model (RSMGL) to evaluate SW/GW interactions.
1b- Conduct ecological monitoring to validate and provide accurate model inputs.
2) Use information from Objective 1 to evaluate both naturally occurring conditions and water management scenarios on salinity in Florida Bay to predict occurrences of hypersalinity.

We studied scrub buckwheat (Eriogonum longifolium var. gnaphalifolium) from 1990 - 2013 at Archbold Biological Station and from 2001 - 2010 at the Lake Wales Ridge National Wildlife Refuge Carter Creek. This dataset contains annual demographic data on survival, recruitment, growth and reproductive effort. The plant is long-lived and exhibits plant dormancy. It resprouts following fire and also recruits many seedlings following post-fire stimulated flowering. Modeling based on demographic data has shown that frequent fires (a minimum of every five years or every 20 years depending on assumptions) are necessary for viable populations of scrub buckwheat. This fire regime is usually met in sandhill but not always in oak-hickory scrub, another habitat for this endemic plant.

About this dataset

Context

The dataset tabulates the Center Hill 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 Center Hill 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 Center Hill was 1,002, a 5.25% increase year-by-year from 2022. Previously, in 2022, Center Hill population was 952, an increase of 7.21% compared to a population of 888 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Center Hill decreased by 12. In this period, the peak population was 1,473 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 Center Hill is shown in this column.
• Year on Year Change: This column displays the change in Center Hill 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 Center Hill Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Orlando, FL population pyramid, which represents the Orlando 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 Orlando, FL, is 25.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Orlando, FL, is 15.6.
• Total dependency ratio for Orlando, FL is 40.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Orlando, FL is 6.4.

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