About this dataset

Context

The dataset tabulates the data for the Florida City, FL population pyramid, which represents the Florida City 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 Florida City, FL, is 40.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Florida City, FL, is 20.2.
• Total dependency ratio for Florida City, FL is 61.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Florida City, FL is 5.0.

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

Data in this release include oviposition, pipping, body size, and environmental temperature observations for three wild adult female Burmese pythons (Python molurus bivittatus). Data are from two individuals that were free-ranging (Pythons # 1 and 2) in Big Cypress National Preserve, Collier County, Florida, USA and one wild-caught individual (Python #3) placed in an outdoor enclosure on the campus of the University of Florida Fort Lauderdale Research and Education Center, Broward County, FL, USA.

This study sought to understand perceived barriers to help-seeking for female victims of domestic abuse age 50 years and older (by a spouse, partner, adult child, grandchild, other relative or close friend) relative to the perceived barriers for women in the same age group who are not victims of such abuse. Additionally, the study explored the impact of key demographic variables of race and ethnicity, relationship to the presumed abuser, and age at the time of the survey on perceived barriers of victims. To address these research questions this study tested an empirical model that described relevant factors regarding perceived barriers to help-seeking and explored if and how this model changed based on the identified variables. Study participants represented a community sample of females age 50 years and older interested in participating in research regarding conflict in close personal relationships experienced by women in this target age range. Specific aims for the project were intended to lead to increased knowledge regarding perceived barriers to help-seeking among older women and, in particular, to develop a basis for describing (a) if and how these perceived barriers were unique to domestic abuse victims relative to non-victims in this age group and (b) how they varied based on selected variables.

The primary goal of this study was to develop an understanding of the role of violence in the lives of homeless women and men. The objectives were to determine how many women and men have experienced some form of violence in their lives either as children or adults, the factors associated with experiences of violence, the consequences of violence, and the types of interactions with the justice system. The survey sample was comprised of about 200 face-to-face interviews with homeless women in each of four Florida cities (Jacksonville, Miami, Orlando, and Tampa). In all, 737 women were interviewed. In addition, 91 face-to-face interviews with homeless men were also conducted only in Orlando. For Part 1 (Female Interviews), the data include information related to the respondent's living conditions in the past month, as well as experiences with homelessness, childhood violence, adult violence, forced sexual situations, and stalking. Additional variables include basic demographic information, a self-report of criminal history, information related to how the respondent spent her days and evenings, and the physical environment surrounding the respondent during the day and evening. For Part 2 (Male Interviews), the data include much of the same information as was collected in Part 1. Information from Part 1 not included in Part 2 primarily includes questions pertaining to experience with forced sexual situations, and questions related to pregnancy and children.

About this dataset

Context

The dataset tabulates the data for the Florida City, FL population pyramid, which represents the Florida City 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 Florida City, FL, is 53.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Florida City, FL, is 17.9.
• Total dependency ratio for Florida City, FL is 71.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Florida City, FL is 5.6.

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

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Gainesville. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Gainesville, the median income for all workers aged 15 years and older, regardless of work hours, was $28,653 for males and $23,738 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 17% between the median incomes of males and females in Gainesville. With women, regardless of work hours, earning 83 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Gainesville.

- Full-time workers, aged 15 years and older: In Gainesville, among full-time, year-round workers aged 15 years and older, males earned a median income of $50,778, while females earned $43,642, resulting in a 14% gender pay gap among full-time workers. This illustrates that women earn 86 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Gainesville.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Gainesville.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Gainesville median household income by race. You can refer the same here

README

Contact: Dr. Natalie Ebner (natalie.ebner@ufl.edu)
Please see the following a preprint for the Data in Brief manuscript associated with this dataset: https://osf.io/wn7sj/

Overview

Single Dose Intranasal Oxytocin Administration: Data from Healthy Younger and Older Adults This study examined the effects of a single-dose (24 international units) intranasal OT vs. PL administration on brain and behavioral outcomes in younger (n = 44; aged 18-31 years; 48% female) and older (n = 43; aged 63-81 years; 56% female) adults. The study followed a 2 (age: Younger, Older) X 2 (sex: Male, Female) X 2 (treatment: OT, PL) design. Data was collected between August 2013 and October 2014. Potential participants were first prescreened for study eligibility over the phone (~30 min), during which they completed the Telephone Interview for Cognitive Status (Brandt, Specter, & Folstein, 1988) and self-reported demographic information. Eligible participants then came to the University of Florida for an in-person screening session (~45 min) during which they completed cognitive tests (Digit Symbol Substitution Test, Weschler, 1981; Rey Auditory Verbal Learning Test, Rey, 1964) as well as provided blood and saliva samples. Participants then returned for an in-person full session (~3 hrs) during which they self-administered the intranasal spray (OT or PL; randomized, double-blind procedure) and underwent a T1-weighted (T1w) structural scan along with a resting-state fMRI scan. Neuroimaging data were collected on a 3T Philips Achieva MRI Scanner at the UF McKnight Brain Institute.

Subjects

Generally healthy younger (n = 44; aged 18-31 years; 48% female) and older (n = 43; aged 63-81 years; 56% female) adults were recruited from the Gainesville, FL area. No participant had neurological or psychiatric disorders, and all participants were able to understand and give informed written consent for this study. All older participants scored ≥ 30 on the Telephone Interview For Cognitive Status (Brandt, Specter, & Folstein, 1988). Only white, English-speaking adults were included in this study. All older women included in the study were postmenopausal whereas all younger women were premenopausal. Individuals with contraindications for MRI or intranasal OT spray self-administration were excluded for safety. Individuals with certain metal implants or pacemakers; who were pregnant or breastfeeding; excessively smoked or drank alcohol; and/or had severe or progressive medical illness(es) were not eligible for this study. Participants were debriefed and compensated at the end of the study.

Apparatus

A 3T Philips Achieva MRI Scanner with a 32-channel head coil was used to acquire brain images. Participants were placed in the MRI scanner with their heads comfortably positioned and stabilized with cushions to reduce head motion.

Task details

Following recommendations for the standardized administration of intranasal OT (Guastella et al., 2013), participants self-administered 24 IU (i.e., one puff per nostril) of OT or PL, which contained the same ingredients as the OT spray except for the synthetic OT (IND 100,860). Compounding, dispensing, and randomization were overseen by the dispensing pharmacy. Before MRI scanning, participants received instructions about the MRI procedure as well as an overview of the experimental tasks they would complete inside the scanner. Participants were settled into the 3T MRI scanner ~45 minutes after self-administration of OT or PL. Participants underwent anatomical image acquisition followed by functional image acquisition across four tasks (not included in this dataset), including an eyes-open resting-state scan. Anatomical data was collected in the first 10 minutes of the MRI scanning for anatomical details. These anatomical scans included a high-resolution three-dimensional T1w scan using an MP-RAGE sequence (sagittal plane, TR/TE/TI = 7/3.2/2750 ms, flip angle = 8°; in-plane FOV = 240 mm x 240 mm; imaging matrix 240 x 240; 170 contiguous sagittal slices with 1 mm slice thickness, 1x1x1 mm3 isotropic voxels). For functional scans, a single-shot gradient echo, echo-planar imaging sequence sensitized to blood oxygenation level-dependent (BOLD) contrast (TR = 2000 ms, TE = 30 ms, flip angle = 90°, in-plane FOV = 240 mm x 240 mm, 80x80 matrix size, 3x3x3 mm3 isotropic voxels, 38 interleaved axial slices (ascending 1, 3, 5, etc.), zero inter-slice gap) was used for whole-brain fMRI coverage. Every functional run started with 4 dummy scans (each lasting 1 TR (2000ms) which is 8 seconds); each run ended with a “fade out” period of 4 dummy scans (each lasting 1 TR (2000ms) which is 8 seconds). The resting-state scan took place between 70–90 minutes after spray administration and lasted about 8 minutes with 240 time points acquired. Participants lay supine and were instructed to relax and look at a white fixation cross on a black screen.

Additional data acquired

This study comprised 1) an initial phone prescreening call to determine study eligibility (~30 min), 2) an in-person screening session (~45 min), and 3) an in-person full MRI session (~3 hrs; see task details above). Only the acquisition of measures provided in this dataset is described here. 1. Prescreening call During an initial phone prescreening, older participants underwent the Telephone Interview for Cognitive Status to screen for cognitive decline (Brandt, Spencer, & Fosltein, 1988). All participants completed an MRI Eligibility Form and a study-specific Health Screening and Demographics Form to assess demographic information, present health conditions, and health history. Based on these measures, eligibility for the study was determined. Eligible participants were then scheduled for an in-person screening session and full session on campus. All participants provided informed written consent before enrollment . All in-person sessions took place at ~8:00 AM. Participants were also instructed to stay hydrated and abstain from substance use and caffeine for 24 hours and from food, exercise, and sexual activity for at least two hours before the sessions. 2. In-person screening session During the in-person screening session, participants completed an intake interview and cognitive measures that included the Rey Auditory Verbal Learning task (RAVLT; Rey, 1964), which measures short-term verbal memory, and the Digit Symbol Substitution Test (DSST; Wechsler, 1981), which measures sensorimotor processing speed, among other questionnaires. For female participants, menstrual cycle phase data was also obtained via self-report. Saliva (i.e., ApoE status) and blood sampling (i.e., plasma OT and AVP levels) were conducted along with a health review by a clinician. Saliva samples were collected using the OraGene DNA Self Collection Kit OG-500 (http://www.dnagenotek.com/ROW/products/OG500.html); participants salivated approximately 2mL into a collection tube that is part of the kit. Saliva samples were assayed by the Translational Genomics Research Institute (PI: Huentelman) between February and April 2022. Blood plasma was frozen to –70 °C directly after collection and only thawed immediately before assay. OT (unextracted) and AVP were measured via Enzyme Immunoassay (EIA), purchased from Enzo Life Sciences, Inc. (Farmingdale, New York); plasma samples were run at the same time with inter- and intra-assay coefficients of variation less than 8%. 3. In-person full MRI session Participants eligible for full study participation returned to campus at a later date for the in-person full session. During this session, participants underwent further MRI safety determination and completed another intake interview. See task details above for more information.

Experimental location

Participants were recruited around the Gainesville area in Florida, USA (GPS coordinates: 29.6446° N, 82.3535° W) and attended study sessions at the University of Florida. Sessions were conducted in the Department of Psychology, the Institute on Aging, and the McKnight Brain Institute at the University of Florida between August 2013 to October 2014.

Missing data

Some data was not included in this repository due to technical issues (resulting in missing or corrupted files) as well as study attrition. Several participants did not complete the resting-state functional scan, which was the last scan in the imaging sequence, due to time restrictions (e.g., technical difficulties earlier on in the session, late arrival of participant) and thus are not included in this dataset. Any missing phenotype data are designated with “n/a” (i.e., not applicable) in the dataset.

Notes

Two subjects (sub-11001 and sub-12000) had slightly different resting state scan parameters from the rest of the participants. Participant specific JSON resting state files are in the /func directories for these participants, while the JSON files at the root directory apply to all other participants.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Florida City. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Florida City, the median income for all workers aged 15 years and older, regardless of work hours, was $27,991 for males and $21,574 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 23% between the median incomes of males and females in Florida City. With women, regardless of work hours, earning 77 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Florida City.

- Full-time workers, aged 15 years and older: In Florida City, among full-time, year-round workers aged 15 years and older, males earned a median income of $37,139, while females earned $33,994, resulting in a 8% gender pay gap among full-time workers. This illustrates that women earn 92 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Florida City.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Florida City.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 City median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Florida, NY population pyramid, which represents the Florida 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 Florida, NY, is 24.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Florida, NY, is 22.2.
• Total dependency ratio for Florida, NY is 46.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Florida, NY is 4.5.

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

About this dataset

Context

The dataset tabulates the data for the Collier County, FL population pyramid, which represents the Collier County 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 Collier County, FL, is 25.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Collier County, FL, is 63.2.
• Total dependency ratio for Collier County, FL is 88.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Collier County, FL is 1.6.

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

About this dataset

Context

The dataset tabulates the data for the Florida, OH population pyramid, which represents the Florida 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 Florida, OH, is 16.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Florida, OH, is 15.3.
• Total dependency ratio for Florida, OH is 31.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Florida, OH is 6.5.

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

About this dataset

Context

The dataset tabulates the data for the Tamarac, FL population pyramid, which represents the Tamarac 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 Tamarac, FL, is 24.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Tamarac, FL, is 43.9.
• Total dependency ratio for Tamarac, FL is 68.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Tamarac, FL is 2.3.

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

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Florida township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Florida township, the median income for all workers aged 15 years and older, regardless of work hours, was $36,250 for males and $28,750 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Florida township. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetownship of Florida township.

- Full-time workers, aged 15 years and older: In Florida township, among full-time, year-round workers aged 15 years and older, males earned a median income of $73,750, while females earned $48,750, leading to a 34% gender pay gap among full-time workers. This illustrates that women earn 66 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a lower gender pay gap percentage. This indicates that Florida township offers better opportunities for women in non-full-time positions.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 township median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Venice, FL population pyramid, which represents the Venice 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 Venice, FL, is 14.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Venice, FL, is 170.8.
• Total dependency ratio for Venice, FL is 185.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Venice, 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 Venice population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Venice for the selected age group is shown in the following column.
• Population (Female): The female population in the Venice for the selected age group is shown in the following column.
• Total Population: The total population of the Venice 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 Venice Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Riviera Beach, FL population pyramid, which represents the Riviera 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 Riviera Beach, FL, is 28.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Riviera Beach, FL, is 28.0.
• Total dependency ratio for Riviera Beach, FL is 56.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Riviera Beach, FL is 3.6.

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

About this dataset

Context

The dataset tabulates the data for the Coral Springs, FL population pyramid, which represents the Coral Springs 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 Coral Springs, FL, is 31.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Coral Springs, FL, is 19.1.
• Total dependency ratio for Coral Springs, FL is 50.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Coral Springs, FL is 5.2.

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

About this dataset

Context

The dataset tabulates the data for the Lee County, FL population pyramid, which represents the Lee County 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 Lee County, FL, is 24.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Lee County, FL, is 50.7.
• Total dependency ratio for Lee County, FL is 75.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Lee County, FL is 2.0.

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

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Miami Shores. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Miami Shores, the median income for all workers aged 15 years and older, regardless of work hours, was $79,770 for males and $45,313 for females.

These income figures highlight a substantial gender-based income gap in Miami Shores. Women, regardless of work hours, earn 57 cents for each dollar earned by men. This significant gender pay gap, approximately 43%, underscores concerning gender-based income inequality in the village of Miami Shores.

- Full-time workers, aged 15 years and older: In Miami Shores, among full-time, year-round workers aged 15 years and older, males earned a median income of $109,239, while females earned $82,199, leading to a 25% gender pay gap among full-time workers. This illustrates that women earn 75 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Miami Shores.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Miami Shores median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Live Oak, FL population pyramid, which represents the Live Oak 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 Live Oak, FL, is 24.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Live Oak, FL, is 27.5.
• Total dependency ratio for Live Oak, FL is 52.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Live Oak, FL is 3.6.

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

About this dataset

Context

The dataset tabulates the data for the Brooksville, FL population pyramid, which represents the Brooksville 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 Brooksville, FL, is 22.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Brooksville, FL, is 56.8.
• Total dependency ratio for Brooksville, FL is 78.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Brooksville, FL is 1.8.

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