Eggs US rose to 3.09 USD/Dozen on July 18, 2025, up 2.94% from the previous day. Over the past month, Eggs US's price has risen 13.23%, and is up 32.45% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs US.

Large white, Grade A chicken eggs, sold in a carton of a dozen. Includes organic, non-organic, cage free, free range, and traditional."

Monthly average retail prices for selected products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

This dataset comprises the following components:

1. SHdataset: It contains 12,051 microscopic images taken from 103 urine samples, along with their corresponding segmentation masks manually annotated for Schistosoma haematobium eggs. The dataset is randomly partitioned into 80-20 train-test splits.

2. diagnosis_test_dataset: This dataset includes 65 clinical urine samples. Each sample consists of 117 Field-of-View (FoV) images required to capture the entire filter membrane. Additionally, the dataset includes the diagnosis results provided by an expert microscopist.

Samples were obtained from school-age children who had observed the presence of blood in their urine. These clinical urine samples were collected in 20 mL sterile universal containers as part of a field study conducted in the Federal Capital Territory (FCT), Abuja, Nigeria, in collaboration with the University of Lagos, Nigeria. The study received ethical approval from the Federal Capital Territory Health Research Ethics Committee (FCT-HREC) Nigeria (Reference No. FHREC/2019/01/73/18-07-19).

The standard urine filtration procedure was used to process the clinical urine samples. Specifically, 10 mL of urine was passed through a 13 mm diameter filter membrane with a pore size of 0.2 μm. After filtration, the membrane was placed on a microscopy glass slide and covered with a coverslip to enhance the flatness of the membrane for image capture. The images were acquired using a digital microscope called the Schistoscope and were saved in PNG format with a resolution of 2028 X 1520 pixels and a size of approximately 2 MB.

The annotation and microscopy analysis were performed by a team of two experts from the ANDI Centre of Excellence for Malaria Diagnosis, College of Medicine, University of Lagos, and Centre de Recherches Medicales des Lambaréné, CERMEL, Lambarene. The experts used the coco annotation tool to annotate the 12,051 images, creating polygons around the Schistosoma haematobium eggs. The output of the annotation process was a JSON file containing specific details about the image storage location, size, filename, and coordinates of all annotated regions.

The segmentation mask images were generated from the JSON file using a Python program. The SHdataset was used to develop an automated diagnosis framework for urogenital schistosomiasis, while the diagnosis_test_dataset was used to compare the performance of the developed framework with the results from the expert microscopist.

For further details about the dataset, more information can be found in the following articles:

1. Oyibo, P., Jujjavarapu, S., Meulah, B., Agbana, T., Braakman, I., van Diepen, A., Bengtson, M., van Lieshout, L., Oyibo, W., Vdovine, G., and Diehl, J.C. (2022). "Schistoscope: an automated microscope with artificial intelligence for detection of Schistosoma haematobium eggs in resource-limited settings." Micromachines, 13(5), p.643.

2. Oyibo, P., Meulah, B., Bengtson, M., van Lieshout, L., Oyibo, W., Diehl, J.C., Vdovine, G., and Agbana, T. (2023). "Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings." Journal of Medical Imaging. [Accepted Manuscript]

Production and disposition of eggs, Canada and provinces (layers unless otherwise noted). Data are available on a monthly basis.

About this dataset

Context

The dataset illustrates the median household income in Egg Harbor City, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Egg Harbor City decreased by $6,708 (9.03%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 5 years and declined for 8 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Egg Harbor City median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the Egg Harbor township population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Egg Harbor township across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Egg Harbor township was 47,861, a 0.07% decrease year-by-year from 2022. Previously, in 2022, Egg Harbor township population was 47,894, an increase of 0.23% compared to a population of 47,785 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Egg Harbor township increased by 17,000. In this period, the peak population was 47,894 in the year 2022. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

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

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Egg Harbor township is shown in this column.
• Year on Year Change: This column displays the change in Egg Harbor township population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for Egg Harbor township Population by Year. You can refer the same here

This dataset includes fertilization success rates from gamete age assays using eggs and sperm from Porites lobata corals in April-May 2023. Porites lobata colonies were collected from study sites in the Rock Islands Southern Lagoon in the Republic of Palau. Colonies were isolated in individual plastic containers at the Palau International Coral Reef Center. Sperm from selected male colonies were pooled in a single container, and eggs were gently poured into this pool, allowing fertilization to commence. Fertilization success was evaluated visually 2-3 hours after fertilization began by observing a sub-sample of the eggs from each cross under a dissecting microscope and counting whole (undivided) eggs and dividing embryos.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Egg Harbor. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Egg Harbor. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Egg Harbor, the median household income stands at $90,000 for householders within the 65 years and over age group, followed by $86,429 for the 25 to 44 years age group. Notably, householders within the 45 to 64 years age group, had the lowest median household income at $54,375.

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.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 Egg Harbor median household income by age. You can refer the same here

Egg shapes

A collection of egg-shaped objects and their boundaries.

Creators

• Vincent Pelletier
• Jiří Hladůvka

Introduction

Egg shapes are generalized ellipses with positively weighted foci [1]. They can describe a wide range of natural and artificial objects that deviate from the standard ellipse model, such as eggs, avocados, leaves, and rackets.

Fitting egg shapes to these objects is a challenging task that may find many applications in computer vision, image analysis, and pattern recognition. However, there is a lack of publicly available collections of real egg-shaped objects that can be used for developing and testing egg shape-fitting algorithms.

This collection aims to fill this gap by providing a diverse set of images, segmentation masks, and boundaries of real egg-shaped objects.

Context and methodology

The purpose of this collection is to:

• demonstrate the existence of objects that are better described by egg shapes rather than by ellipses, and
• serve as a test collection for the development of egg shape-fitting algorithms.

Diversity and quality

This collection consists of seven datasets:

• eggs_whole: 1,100 whole-egg photographs and segmentation masks from the Egg-segmentation Dataset [2]. We augmented them with 1,100 boundary-coordinates text files.
• eggs_boiled: Images of longitudinally halved, hard-boiled eggs found on the internet were manually segmented, yielding 12 boundaries each for the egg whites and yolks.
• avocados: Images of longitudinally halved avocados were found on the internet. The shells of these avocados were manually segmented, resulting in 6 boundaries. Some of them are slightly deformed.
• leaves: Leaves from trees and plants were deliberately selected and photographed by authors. The selection criteria included being longitudinally symmetrical, egg-shaped, elongated, and possibly pointed. Manual segmentation excluded the stems and produced 23 boundaries.
• cells: Palisade cells of Arabidopsis thaliana in a micro-CT cross-section slice from Water's Gateway to Heaven project were manually segmented, resulting in 159, mostly elliptic boundaries.
• household: 11 spoon heads and 2 toilet seats were photographed and segmented by the authors.
• rackets: Images of tennis, badminton, and squash racket heads sourced from the internet were segmented, resulting in 12 boundaries. The outer shell of the squash head is noted to be pointed. One of the tennis heads is elliptic.

The collection contains a total of 1,129 image+mask pairs and 1,337 boundaries. The images vary in size, resolution, quality, and background. The shapes vary in aspect ratio, eccentricity, curvature, and smoothness.

While the collection covers a range of natural and artificial domains, it is by no means complete. It can be expected that the set of real-world egg shapes is much broader.

The collection may have some biases and limitations, such as the subjective selection of objects and the manual segmentation of masks.

Organization of files

This collection contains files of three types:

1. jpg: photographs,
2. png: segmentation masks, and
3. txt: boundary coordinates.

Each of the seven datasets has photos and segmentation masks stored in:

• images/{dataset}/{photo}.jpg - photo
• images/{dataset}/{photo}.png - segmentation mask

Several objects may be segmented from one image. This means one or several boundaries are associated with one image. These boundaries are stored in:

• boundaries/{dataset}/{photo}_{bID}.txt

where {bID} is a 3-digit boundary identifier.

Acknowledgments

• Water's Gateway to Heaven project for providing the leaf scan,
• Táňa Hladůvková for help with collecting the leaves.

Access

• The collection can be retrieved as a zip file via the following DOI: 10.48436/de66n-2pj41.

License

Creative Commons Attribution-ShareAlike 4.0 International.

References

[1] Gabdulkhakova, A., Kropatsch, W.G.: Generalized conics with the sharp corners. In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. pp. 419–429, (2021), DOI:10.1007/978-3-030-93420-0_39.

[2] Nho, T.: Egg-segmentation Dataset. In: Roboflow Universe, (2023). https://universe.roboflow.com/the-nho/egg-segmentation.

[3] Hladůvka, J. and Kropatsch, W. G. Fitting egg-shapes to discretized object boundaries. In: Discrete geometry and mathematical morphology, pp. 107–119, (2024), DOI:10.1007/978-3-031-57793-2_9.

Evaluation of a Low-Cost Staining Method for Improved Visualization of Sweet Potato Whitefly (Bemisia tabaci) Eggs on Multiple Crop Plant Species Dryad DOI: https://doi.org/10.5061/dryad.vmcvdnd1m Article DOI: https://doi.org/10.1186%2Fs13007-024-01209-z This data was collected to analyze the ease of counting whitefly (Bemisia tabaci MEAM1) eggs on cassava, cowpea, melon, tomato, and sweet potato before and after a selective egg staining process. Five female whiteflies were confined in clip cages to a small section of the underside of each leaf for four days to allow them to oviposit. Then the leaf was removed from the plant, whiteflies were removed from the clip cage, and the area of leaf where the clip cage was attached was cut out using a round cookie cutter. The whitefly eggs on the leaf disc were then counted by two individuals using a stereo microscope, these are the "unstained counts". Whitefly eggs were then stained by submerging the leaf discs in McBryde’s stain (acetic acid, ethanol, 0.2% aqueous acid Fuchsin, water; 20:19:2:1) for three days, and then clearing under heat and pressure for 15 min in clearing solution (LGW; lactic acid, glycerol, water; 17:20:23). The whitefly eggs on the stained and cleared leaf disc were then counted by the same two individuals using a stereo microscope, these are the "stained counts". Counting time for each leaf disc was also recorded to help analyze the labor requirements of this process. Datasets contain stained and unstained egg counts for "counter one" (BVR) and "counter two" (RL). The counting time in minutes and seconds is also included. For some datasets where surfactants were tested, the number of bubbles on the leaf disc after staining was also recorded. The data here includes egg counts both before and after staining for each crop species and each counting individual. An R script and R Markdown document are also included. This data and code together allow for replication of all analyses performed for the associated publication in Plant Methods. Whitefly survival data ("whitefly_checks") is also included here and can be used to determine oviposition rates for these crops. ## Description of the data and file structure ### RMarkdown file The final RMarkdown (.Rmd) file used for analysis while writing the manuscript is included for reference (generated on 12 December, 2023). ### Egg count data The included datasets are labeled as: egg_counts_stain_unstain_"crop"_"replicate number".csv. The replicate number is an internal identifier based on how many total experiments have been conducted on that crop, and are not relevant to this analysis. These datasets contain the following headings:\ leaf_num = the ID number assigned to each leaf species = crop species stained = "yes" or "no" for if this count is taking place before ("no") or after ("yes") staining surfactant = optional descriptor included if a surfactant was tested on the stained leaves counter = counter one is Ben van Raalte (BVR), counter two is Ricky Le (RL) count_date = date that the egg counting took place egg_count = counted number of whitefly eggs time_m = minutes of counting (sum with time_s to get the total counting time) time_s = seconds of counting bubbles = number of bubbles counted on the leaf disc. This was only included for some of the experiments where surfactants were tested. Number of bubbles also only applies for stained leaf discs; for unstained leaf discs, "NA" is included to represent "not applicable". For stained leaf discs where the number of bubbles was not counted, "NR" is included to represent "not recorded". notes = other relevant information collected. If there are no notes for a counted leaf disc, "NA" is included in under the notes ### Whitefly survival data Whitefly survival information is not required for analysis of the egg staining method. These datasets are included because they allow calculation of oviposition rate in terms of whitefly eggs per female whitefly per day. This information could be useful for anyone replicating this method for whitefly resistance phenotyping application, as these experiments can provide a baseline oviposition rate for each of the crops used in these experiments. These datasets are labeled as: wf_checks_"crop"_"replicate number".csv. If there are no notes, "NA" is included. ## Sharing/Access information The manuscript associated with this data is available in the journal Plant Methods. ## Code/Software The file "combining_crops_stainunstain_analysis.R" is used to source and format all the data sets used in this analysis. All analyses were performed in R using an RMarkdown file for data handling, analysis, and figure creation. This code was run on 19 May 2024 and confirmed to function using "R version 4.4.0 (2024-04-24)" for Apple "aarch64-apple-darwin20" platform. An Apple MacBook Air (M1, 2020) with 16 GB of memory running macOS Monterey...

This dataset contains data identifying fish eggs obtained from oceanographic cruises using the continuous underway fish egg sampler (CUFES) in west Florida from 2013-09-13 to 2014-09-27 with sequences of the mitochondrial gene. Fish eggs were identified using DNA barcoding. This dataset will help in the identification of spawning sites.

Dataset associated with publication: Breitbart M, Kerr M, Schram MJ, Williams I, Koziol G, Peebles E, Stallings CD. 2023. Evaluation of DNA metabarcoding for identifying fish eggs: a case study on the West Florida Shelf. PeerJ 11:e15016 https://doi.org/10.7717/peerj.15016.

This dataset consists of 300 ovitrap sticks pictures that contain at least one Aedes aegypty egg. The pictures were taken with an iPhone 7 mobile phone and were used to assess the performance of a mosquito egg counter algorithm and application (https://ovitrap-monitor.netlify.app/). The ovitraps are part of a weekly surveillance program carried out in the city of Córdoba (Argentina) by the Health Ministry authorities. This dataset is a smaple obtained between December 2021 and March 2022. We also include a text file with the code of the ovitraps and the number of eggs counted by a technician under magnifying glasses (i.e., observed counts).

About this dataset

Context

The dataset tabulates the Egg Harbor 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 Egg Harbor town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Egg Harbor town was 1,519, a 0.40% increase year-by-year from 2022. Previously, in 2022, Egg Harbor town population was 1,513, an increase of 1.48% compared to a population of 1,491 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Egg Harbor town increased by 317. In this period, the peak population was 1,519 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 Egg Harbor town is shown in this column.
• Year on Year Change: This column displays the change in Egg Harbor 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 Egg Harbor town Population by Year. You can refer the same here

This dataset tracks annual reduced-price lunch eligibility from 2002 to 2023 for Egg Harbor Township High School vs. New Jersey and Egg Harbor Township School District

About this dataset

Context

The dataset illustrates the median household income in Egg Harbor town, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Egg Harbor town increased by $8,036 (11.35%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 5 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Egg Harbor town median household income. 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 Egg Harbor 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 Egg Harbor City, the median income for all workers aged 15 years and older, regardless of work hours, was $48,857 for males and $31,880 for females.

These income figures highlight a substantial gender-based income gap in Egg Harbor City. Women, regardless of work hours, earn 65 cents for each dollar earned by men. This significant gender pay gap, approximately 35%, underscores concerning gender-based income inequality in the city of Egg Harbor City.

- Full-time workers, aged 15 years and older: In Egg Harbor City, among full-time, year-round workers aged 15 years and older, males earned a median income of $52,059, while females earned $51,793, resulting in a 1% gender pay gap among full-time workers. This illustrates that women earn 99 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 Egg Harbor 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 Egg Harbor 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 Egg Harbor City median household income by race. You can refer the same here

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Little Egg Harbor Township School District vs. New Jersey

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 Egg Harbor. 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 Egg Harbor, the median income for all workers aged 15 years and older, regardless of work hours, was $57,083 for males and $26,364 for females.

These income figures highlight a substantial gender-based income gap in Egg Harbor. Women, regardless of work hours, earn 46 cents for each dollar earned by men. This significant gender pay gap, approximately 54%, underscores concerning gender-based income inequality in the village of Egg Harbor.

- Full-time workers, aged 15 years and older: In Egg Harbor, among full-time, year-round workers aged 15 years and older, males earned a median income of $64,583, while females earned $61,250, resulting in a 5% gender pay gap among full-time workers. This illustrates that women earn 95 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 village of Egg Harbor.

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 Egg Harbor.

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

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Little Egg Harbor township. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Little Egg Harbor township. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Little Egg Harbor township, the median household income stands at $117,836 for householders within the 25 to 44 years age group, followed by $108,366 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $64,970.

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.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 Little Egg Harbor township median household income by age. You can refer the same here