About this dataset

Context

The dataset presents median household incomes for various household sizes in Washington, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Washington. Across the different household sizes in Washington the mean income is $114,131, and the standard deviation is $30,971. The coefficient of variation (CV) is 27.14%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $48,857. It then further increased to $135,472 for 7-person households, the largest household size for which the bureau reported a median household income.

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

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 Washington median household income. You can refer the same here

This challenge will be hosted soon in Grand Challenge. Currently under construction.

Clinical Problem

In medical imaging, DL models are often tasked with delineating structures or abnormalities within complex anatomical structures, such as tumors, blood vessels, or organs. Uncertainty arises from the inherent complexity and variability of these structures, leading to challenges in precisely defining their boundaries. This uncertainty is further compounded by interrater variability, as different medical experts may have varying opinions on where the true boundaries lie. DL models must grapple with these discrepancies, leading to inconsistencies in segmentation results across different annotators and potentially impacting diagnosis and treatment decisions. Addressing interrater variability in DL for medical segmentation involves the development of robust algorithms capable of capturing and quantifying uncertainty, as well as standardizing annotation practices and promoting collaboration among medical experts to reduce variability and improve the reliability of DL-based medical image analysis. Interrater variability poses significant challenges in the field of DL for medical image segmentation.

This challenge is designed to promote awareness of the impact uncertainty has on clinical applications of medical image analysis. In our last-year edition, we proposed a competition based on modeling the uncertainty of segmenting three abdominal organs, namely kidney, liver and pancreas, focusing on organ volume as a clinical quantity of interest. This year, we go one step further and propose to segment pancreatic pathological structures, namely Pancreatic Ductal Adenocarcinoma (PDAC), with the clinical goal of understanding vascular involvement, a key measure of tumor resectability. In this above context, uncertainty quantification is a much more challenging task, given the wildly varying contours that different PDAC instances show.

This year, we will provide a richer dataset, in which we start from an already existing dataset of clinically verified contrast-enhanced abdominal CT scans with a single set of manual annotations (provided by the PANORAMA organization), and make an effort to construct four extra manual annotations per PDAC case. In this way, we will assemble a unique dataset that creates a notable opportunity to analyze the impact of multi-rater annotations in several dimensions, e.g. different annotation protocols or different annotator experiences, to name a few.

CURVAS Challenge Goal

This challenge aims to advance deep learning methods for medical image segmentation by focusing on the critical issue of interrater variability, particularly in the context of pancreatic cancer. Building on last year's focus on organ segmentation uncertainty, this edition shifts to the more complex task of segmenting Pancreatic Ductal Adenocarcinoma (PDAC) to assess vascular involvement—a key indicator of tumor resectability. By providing a unique, richly annotated dataset with multiple expert annotations per case, the challenge encourages participants to develop robust models that can quantify and manage uncertainty arising from differing expert opinions, ultimately improving the clinical reliability of AI-based image analysis.

For more information about the challenge, visit our website to join CURVAS-PDACVI (Calibration and Uncertainty for multiRater Volume Assessment in multistructure Segmentation - Pancreatic Ductal AdenoCarcinoma Vascular Invasion). This challenge will be held in MICCAI 2025.

Dataset Cohort

The challenge cohort comprises upper-abdominal axial, portal-venous CECT 125 CT scans selected from a subset of the PANORAMA challenge dataset. The selection process will prioritize CT scans with manually generated labels, excluding those with automatically derived annotations. Additionally, only cases with a conclusive diagnostic test (e.g., pathology, cytology, histopathology) are included, while patients with radiology-based diagnoses have been excluded.

To ensure the subset is representative of common real-world scenarios, lesion sizes have been analyzed, and a diverse range of cases have been selected. Furthermore, patient demographics, including sex and age, have been considered to enhance the cohort's representativeness.

Finally, a preliminary visual analysis have been conducted before sending the image to radiologists for segmentation. This ensures the tumor's location, size, and relevance, helping maintain the dataset's representativeness for the challenge.

The previously indicated cohort of 125 CT scans is splitted in the following way:

• Training Phase cohort:

40 CT scans with the respective annotations is given. It is encouraged to leverage publicly available external data annotated by multiple raters. The idea of giving a small amount of data for the training set and giving the opportunity of using a public dataset for training is to make the challenge more inclusive, giving the option to develop a method by using data that is in anyone's hands. Furthermore, by using this data to train and using other data to evaluate, it makes it more robust to shifts and other sources of variability between datasets.

• Validation Phase cohort:
  

5 CT scans will be used for this phase.

• Test Phase cohort:
  

85 CT scans will be used for evaluation.

Both validation and testing CT scans cohorts will not be published until the end of the challenge. Furthermore, to which group each CT scan belongs will not be revealed until after the challenge.

Each folder containing a study is named with a unique ID (CURVASPDAC_XXXX) so it cannot be directy related to the PANORAMA ID and has the following structure:

• annotation_X.nii.gz: contains the Pancreatic Ductal Adenocarcinoma (PDAC) segmentations (X=1 being the PANORAMA segmentation, X=2,..,5 being the other experts segmentations)
• image.nii.gz: CT volume

The four additional annotations are done from radiologists at Universitätsklinikum Erlangen, Hospital de Sant Pau, and Hospital de Mataró. Hence, four new annotations plus the PANORAMA annotation are provied. Another clinician, focused on modifying the annotations from the vascular structures of the PANORAMA dataset and separated veins and arteries in single strcutures segmentations. This structures are the ones considered highly relevant for the study of Vascular Invasion (VI): Porta, Superior Mesenteric Vein (SMV), Superior Mesenteric Artery (SMA), Hepatic Artery and Celiac Trunk. The vascular annotations will be made public later in the challenge, so the participants can try out the evaluation code.

A balance to ensure representiveness within the subsets have been performed as well. Factors such as devices, sex, and patient age have been considered to improve the cohort's representativeness. Efforts have been made to balance bias as evenly as possible across these variables. For age distribution, the target percentages are as follows: below 50 years (5%), 50–59 years (15%), 60–69 years (20%), 70–79 years (30%), and 80–89 years (30%) [1,2,3,4]. While these percentages are approximate and have been rounded for simplicity, the balance aims to be as close to these proportions as feasible. For the sex, 40-50% for females and 50-60% for males [5]. For location of the PDAC, 60-70% head, 15-25% body and 10-15% tail [6]. The size of the lesions has been analyzed and a subset will be selected and this values will be published in the future with the entire dataset.

Data from PANORAMA Batch 1 (https://zenodo.org/records/13715870), Batch 2 (https://zenodo.org/records/13742336), and Batch 3 (https://zenodo.org/records/11034011)), are not allowed for training the models. Batch 4 (https://zenodo.org/records/10999754) can be used.

For more technical information about the dataset visit the platform: https://panorama.grand-challenge.org/datasets-imaging-labels/

Ethical Approval and Data Usage Agreement

No other information that is not already public about the patient will be released since the CT images and their corresponding information are already publicly available.

References

[1] Lee, K.S.; Sekhar, A.; Rofsky, N.M.; Pedrosa, I. Prevalence of Incidental Pancreatic Cysts in the Adult Population on MR Imaging. Am J Gastroenterol 2010, 105, 2079–2084, doi:10.1038/ajg.2010.122.

[2] Canakis, A.; Lee, L.S. State-of-the-Art Update of Pancreatic Cysts. Dig Dis Sci 2021.

[3] De Oliveira, P.B.; Puchnick, A.; Szejnfeld, J.; Goldman, S.M. Prevalence of Incidental Pancreatic Cysts on 3 Tesla Magnetic Resonance. PLoS One 2015, 10, doi:10.1371/JOURNAL.PONE.0121317.

[4] Kimura, W.; Nagai, H.; Kuroda, A.; Muto, T.; Esaki, Y. Analysis of Small Cystic Lesions of the Pancreas. Int J Pancreatol 1995, 18, 197–206, doi:10.1007/BF02784942.

[5] Natalie Moshayedi et al. Race, sex, age, and geographic disparities in pancreatic cancer incidence. JCO 40, 520-520(2022). DOI:10.1200/JCO.2022.40.4_suppl.520

[6] Avo Artinyan, Perry A. Soriano, Christina Prendergast, Tracey Low, Joshua D.I. Ellenhorn, Joseph Kim, The anatomic location of pancreatic cancer is a prognostic

The Kilodegree Extremely Little Telescope (KELT) has been surveying more than 70% of the celestial sphere for nearly a decade. While the primary science goal of the survey is the discovery of transiting, large-radii planets around bright host stars, the survey has collected more than 10^6^ images, with a typical cadence between 10-30 minutes, for more than four million sources with apparent visual magnitudes in the approximate range 7<V~2000 days. We provide variability upper limits for all other ~4000000 sources. These upper limits are principally a function of stellar brightness, but we achieve typical 1{sigma} sensitivity on 30 min timescales down to ~5 mmag at V~8, and down to ~43 mmag at V~13. We have matched our catalog to the TESS Input catalog and the AAVSO Variable Star Index to precipitate the follow-up and classification of each source. The catalog is maintained as a living database on the Filtergraph visualization portal at the URL https://filtergraph.com/kelt_vars.

To date, the CoRoT space mission has produced more than 124471 light curves. Classifying these curves in terms of unambiguous variability behavior is mandatory for obtaining an unbiased statistical view on their controlling root-causes. The present study provides an overview of semi-sinusoidal light curves observed by the CoRoT exo-field CCDs. We selected a sample of 4206 light curves presenting well-defined semi-sinusoidal signatures. The variability periods were computed based on Lomb-Scargle periodograms, harmonic fits, and visual inspection.

Context

A dataset of recyclables and non-recyclables with more variability than TrashNet.

Content

Crawled from Google Images.

Within the 'recyclable' and 'non-recyclable' folder,

• Files not in any subfolders are raw, original files
• Folder 'unprocessed' contains files that could not be processed (i.e. corrupted)
• Folder 'subimages' contains subimages larger than 200 x 200
• Folder 'small_subimages' contains subimages with either side / both sides smaller than 200
• Folder 'processed' means the object recognition results matches the original search term (i.e. filename)
• Folder 'final_dataset' is processed from subimages, basically the subimages were put through Google Cloud Vision's Object Recognition API again and only those whose filename matches with the recognition results are saved into the final_dataset folder

Inspiration

Creating models that are able to determine whether a object is recyclable or not (based on material, presence of contamination, etc).

The three datasets contain the spectral data acquired on waste wood samples using a handheld spectrophotometer (MicroNIR™ OnSite instrument). The waste wood samples have been collected in a panel board company located in the Northern part of Italy during two days of sampling (February 18-19, 2020). In detail, 24 randomly distributed increments have been collected from 16 static lots, resulting in a total of 384 samples (we note these DT-Sam_Tot). All the samples have been analyzed by Near-Infrared (NIR) spectrophotometer directly on site. In addition, four of the 24 increments for each lot - resulting in a total of 64 samples - have been sent to the lab for further analysis (DT-Lab). Additionally, another dataset has been created based on a reduced DT-Sam_Tot dataset, where we only consider the four of 24 increments for each lot that were sent to the lab (DT-Sam_Red). It is important for having more accurate indications about the differences in variability between DT-Lab and DT-Sam_Tot samples.

We provide three CSV files:

• DT-Sam_Tot_270521_v01.csv: spectral data and information of DT-Sam_Tot.;
• DT-Sam_Red_270521_v01.csv: spectral data and information of DT-Sam_Red.
• DT-Lab_270521_v01.csv: spectral data and information of DT-Lab.

The three CSV files contain similar information in the columns:

• Sample code: it is reporting the sample code where S1 is the number of lot, the successive number is the number of sample (from 1 to 24) and the last number the NIR replicate. E.g. S4-13-1.sam: lot number 4, sample number 13, NIR replicate number 1. Please note that for DT-Lab dataset we have a different coding where labA and labB are the two sample replicates for the moisture content analysis.
• Rep: number indicating the NIR replicates for each sample. Please note that for DT-Lab dataset we have also rep2 column reporting the sample replicates for the moisture content analysis.
• Lot: number of lot to which the sample belongs (from 1 to 16).
• Day: day in which the sample has been collected (1 = 18/02/2020; 2 = 19/02/2020).
• Mois: moisture content of the sample (%).
• PCN: net calorific value of the sample (J/g).
• Spectral data: absorbance values for each sample from 908.1 nm to 1676.2 nm.

The aim behind this dataset is to investigate the variability of the waste wood (WP1 of WoodSpec project) and this information is essential for increasing the reuse of the material and guarantee an accurate and successful use of a NIR sensor into real industrial applications. A second aim is the development of regression models for predicting the moisture content and net calorific value of the samples (WP3 of WoodSpec project). First indications about the variability and the chemical-physical characteristics of the material are essential for determining the suitability in energy applications.

If you would like know more about the data, or to use these data, please refer to our article in Renewable Energy, doi: https://doi.org/10.1016/j.renene.2021.05.137

Funding: The project leading to this application has received funding from theEuropean Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 838560.

Terms of use: These data are provided "as is", without any warranties of any kind. The data are provided under the Creative Commons Attribution 4.0 International license.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Willow Springs, Wisconsin, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Willow Springs town did not include 4, 6, or 7-person households. Across the different household sizes in Willow Springs town the mean income is $80,957, and the standard deviation is $52,736. The coefficient of variation (CV) is 65.14%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $23,645. It then further increased to $149,977 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/willow-springs-wi-median-household-income-by-household-size.jpeg" alt="Willow Springs, Wisconsin median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Willow Springs town median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in York County, SC, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in York County. Across the different household sizes in York County the mean income is $102,086, and the standard deviation is $33,277. The coefficient of variation (CV) is 32.60%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $35,995. It then further increased to $118,471 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/york-county-sc-median-household-income-by-household-size.jpeg" alt="York County, SC median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 York County median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Woodson County, KS, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Woodson County did not include 7-person households. Across the different household sizes in Woodson County the mean income is $71,807, and the standard deviation is $20,830. The coefficient of variation (CV) is 29.01%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $36,481. It then further increased to $84,671 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/woodson-county-ks-median-household-income-by-household-size.jpeg" alt="Woodson County, KS median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Woodson County median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in West Fork, AR, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, West Fork did not include 6, or 7-person households. Across the different household sizes in West Fork the mean income is $76,672, and the standard deviation is $28,846. The coefficient of variation (CV) is 37.62%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $33,840. It then further increased to $91,781 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/west-fork-ar-median-household-income-by-household-size.jpeg" alt="West Fork, AR median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 West Fork median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Willoughby Hills, OH, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Willoughby Hills did not include 6, or 7-person households. Across the different household sizes in Willoughby Hills the mean income is $111,503, and the standard deviation is $62,454. The coefficient of variation (CV) is 56.01%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $47,610. It then further increased to $193,382 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/willoughby-hills-oh-median-household-income-by-household-size.jpeg" alt="Willoughby Hills, OH median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Willoughby Hills median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Wilson County, TN, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Wilson County. Across the different household sizes in Wilson County the mean income is $102,320, and the standard deviation is $28,265. The coefficient of variation (CV) is 27.62%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $47,828. It then further increased to $122,947 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/wilson-county-tn-median-household-income-by-household-size.jpeg" alt="Wilson County, TN median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Wilson County median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Wilkinson County, GA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Wilkinson County did not include 7-person households. Across the different household sizes in Wilkinson County the mean income is $52,636, and the standard deviation is $21,066. The coefficient of variation (CV) is 40.02%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $23,476. It then further increased to $31,076 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/wilkinson-county-ga-median-household-income-by-household-size.jpeg" alt="Wilkinson County, GA median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Wilkinson County median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Winneshiek County, IA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Winneshiek County. Across the different household sizes in Winneshiek County the mean income is $92,674, and the standard deviation is $25,724. The coefficient of variation (CV) is 27.76%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $39,976. It then further increased to $101,875 for 7-person households, the largest household size for which the bureau reported a median household income.

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

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 Winneshiek County median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Winnebago County, WI, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Winnebago County. Across the different household sizes in Winnebago County the mean income is $85,039, and the standard deviation is $27,956. The coefficient of variation (CV) is 32.87%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $37,692. It then further increased to $68,782 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/winnebago-county-wi-median-household-income-by-household-size.jpeg" alt="Winnebago County, WI median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Winnebago County median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Vance County, NC, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Vance County. Across the different household sizes in Vance County the mean income is $63,153, and the standard deviation is $20,316. The coefficient of variation (CV) is 32.17%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $27,015. It then further increased to $92,253 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/vance-county-nc-median-household-income-by-household-size.jpeg" alt="Vance County, NC median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Vance County median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Woodford County, KY, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Woodford County. Across the different household sizes in Woodford County the mean income is $103,666, and the standard deviation is $34,728. The coefficient of variation (CV) is 33.50%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $36,291. It then further increased to $114,674 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/woodford-county-ky-median-household-income-by-household-size.jpeg" alt="Woodford County, KY median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Woodford County median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Westmoreland, TN, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Westmoreland did not include 5, 6, or 7-person households. Across the different household sizes in Westmoreland the mean income is $55,592, and the standard deviation is $23,771. The coefficient of variation (CV) is 42.76%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $22,088. It then further increased to $70,869 for 4-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/westmoreland-tn-median-household-income-by-household-size.jpeg" alt="Westmoreland, TN median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Westmoreland median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Virginia, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Virginia. Across the different household sizes in Virginia the mean income is $107,800, and the standard deviation is $30,631. The coefficient of variation (CV) is 28.41%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $44,720. It then further increased to $130,268 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/virginia-median-household-income-by-household-size.jpeg" alt="Virginia median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Virginia median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in West Union, New York, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, West Union town did not include 5, or 7-person households. Across the different household sizes in West Union town the mean income is $64,972, and the standard deviation is $40,754. The coefficient of variation (CV) is 62.73%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $26,482. It then further increased to $54,721 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/west-union-ny-median-household-income-by-household-size.jpeg" alt="West Union, New York median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 West Union town median household income. You can refer the same here