In 2023, about **** percent of the population in Florida was between 25 and 34 years old. In that same year, a further **** percent of Floridians were between the ages of 65 and 74 years old.

The demographic data displayed in this theme of Florida’s Roadmap to Living Healthy are quantitative measures that exhibit the socioeconomic state of Florida’s communities. The data sets comprising this themed map include topics such as population, race, income level, age, education, housing, and lifestyle data for all of Florida’s 67 counties, and other basic demographic characteristics. The Florida Department of Agriculture and Consumer Services has utilized the most current demographic statistical data from trusted sources such as the U.S. Census Bureau, U.S. Department of Housing and Urban Development, U.S. Department of Labor Bureau of Labor Statistics, Florida Department of Children and Families, and Esri to craft this custom visualization. Demographics provide profound perspective to your data analytics and will help you recognize the distinctive characteristics of a population based on its location. This demographic-themed mapping tool will simplify your ability to identify the specific socioeconomic needs of every community in Florida.

Graph and download economic data for Employed Involuntary Part-Time for Florida (INVOLPTEMPFL) from Q4 2003 to Q3 2024 about part-time, labor underutilization, labor force, 16 years +, FL, labor, household survey, employment, and USA.

In 2023, about **** percent of the population in Florida aged 25 years and over held a Bachelor's degree. In that same year, about *** percent of Floridians had less than a 9th grade education, and about **** percent were high school graduates.

This data set contains annual quantities and value for all seafood products that are landed and sold by established seafood dealers and brokers in Florida. These data are available on computer since the early 1960's. The quantities and values that are reported in this data set include the annual landings for the period 1976 through 1996. Monthly general canvass data are available for this period; however, the monthly data do not include information on the gear used and the fishing area. The gear and fishing area information is only available for annual summaries of the general canvass data for the landings that occurred in Florida and this information is in the Florida Annual General Canvass. See the sections on Links for the reference to the monthly general canvass landings.

Financial overview and grant giving statistics of Florida Association Of Educational Data Systems Inc

About this dataset

Context

The dataset tabulates the Florida 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 Florida 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 2022, the population of Florida town was 2,698, a 0.48% increase year-by-year from 2021. Previously, in 2021, Florida town population was 2,685, an increase of 0.86% compared to a population of 2,662 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Florida town decreased by 22. In this period, the peak population was 2,795 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Florida town is shown in this column.
• Year on Year Change: This column displays the change in Florida 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 Florida town Population by Year. You can refer the same here

Graph and download economic data for Unemployment Rate in Florida (FLUR) from Jan 1976 to Jul 2025 about FL, unemployment, rate, and USA.

This is a summary of the programs and services provided by VA in Florida in fiscal year 2014.

Graph and download economic data for Resident Population in Florida (FLPOP) from 1900 to 2024 about FL, residents, population, and USA.

Graph and download economic data for Not in Labor Force: Discouraged Workers for Florida (DISCWORKFL) from Q4 2003 to Q3 2024 about labor underutilization, workers, labor force, 16 years +, FL, labor, household survey, and USA.

Graph and download economic data for Civilian Labor Force in Wakulla County, FL (LAUCN121290000000006A) from 1990 to 2024 about Wakulla County, FL; Tallahassee; civilian; labor force; FL; labor; household survey; and USA.

Graph and download economic data for Employed Persons in Tampa-St. Petersburg-Clearwater, FL (MSA) (LAUMT124530000000005A) from 1990 to 2020 about Tampa, FL, persons, household survey, employment, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in Miami-Fort Lauderdale-West Palm Beach, FL (CBSA) (CUUSA320SEHA) from H1 1984 to H1 2025 about Miami, primary, rent, FL, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Financial overview and grant giving statistics of Florida Public Interest Research Group Inc

Graph and download economic data for Unemployment Rate in Orlando-Kissimmee-Sanford, FL (MSA) (LAUMT123674000000003A) from 1990 to 2024 about Orlando, FL, household survey, unemployment, rate, and USA.

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. Geospatial data provided in an ArcGIS shapefile are described herein. The shapefile contains polygons of climate regions including their acreages. As part of this project, best models from each downscaled climate dataset are determined for climate regions in South Florida and South-Central Florida based on how well they reproduce historical climate extreme indices. Table 1 of Datasets_station_information.xlsx lists the NOAA Atlas 14 stations located within each climate region. See Best_model_lists.xlsx for a list of best models for each climate region in each downscaled climate dataset and when all downscaled climate datasets are considered together.

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 50.42% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Pinellas Park is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Pinellas Park 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 Pinellas Park Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of South Palm Beach by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for South Palm Beach. The dataset can be utilized to understand the population distribution of South Palm Beach by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in South Palm Beach. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for South Palm Beach.

Key observations

Largest age group (population): Male # 70-74 years (141) | Female # 65-69 years (201). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the 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 is shown in the following column.
• Population (Female): The female population in the South Palm Beach is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in South Palm Beach for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for South Palm Beach Population by Gender. You can refer the same here

Graph and download economic data for All Employees: Government in Florida (FLGOVT) from Jan 1990 to Jul 2025 about FL, government, employment, and USA.