About this dataset

Context

This list ranks the 10 cities in the Ford County, IL by Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Other Race Population: This column displays the rank of cities in the Ford County, IL by their Some Other Race (SOR) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Other Race Population: The Other Race population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Ford County Other Race Population: This tells us how much of the entire Ford County, IL Other Race population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 17 cities in the Lorain County, OH by Non-Hispanic Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Non-Hispanic Other Race Population: This column displays the rank of cities in the Lorain County, OH by their Non-Hispanic Some Other Race (SOR) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Non-Hispanic Other Race Population: The Non-Hispanic Other Race population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Non-Hispanic Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Lorain County Non-Hispanic Other Race Population: This tells us how much of the entire Lorain County, OH Non-Hispanic Other Race population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

This map is designed to work in the new ArcGIS Online Map Viewer. Open in Map Viewer to view map. What does this map show?This map shows the population in the US by race. The map shows this pattern nationwide for states, counties, and tracts. Open the map in the new ArcGIS Online Map Viewer Beta to see the dot density pattern. What is dot density?The density is visualized by randomly placing one dot per a given value for the desired attribute. Unlike choropleth visualizations, dot density can be mapped using total counts since the size of the polygon plays a significant role in the perceived density of the attribute.Where is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.What questions does this map answer?Where do people of different races live?Do people of a similar race live close to people of their own race?Which cities have a diverse range of different races? Less diverse?

One the most obvious difficulties in comparing the influence of landscape on crop production across studies is the choice of landscape metric. There exist countless metrics of landscape composition—the categories of land cover found on a landscape—and landscape configuration—the spatial organization of these categories. Common landscape composition metrics include measures of diversity—such as the Shannon Diversity Index or the Simpson Diversity Index—and measures of land cover composition—such as the percent of the landscape classified as natural cover. Common landscape configuration metrics include measures of patch size (contiguous areas of the same land cover) and mixing as well as edge length (linear length of patch boundaries/perimeter) and fragmentation. Even just considering diversity metrics, numerous options to select from can be found in the literature. Each one of these metrics has its own particularities in terms of sensitivity to scale, rare categories, and boundaries that can significantly alter the conclusions of studies examining the relationship between landscape characteristics and crop production. To address this challenge, we assess the sensitivity of our model results to a number of indicators of landscape composition and configuration using the USDA NASS Cropland Data Layer (CDL) as our indicator of land cover. This dataset classifies land cover at a 30-meter resolution nationwide from 2008 to present using satellite imagery and extensive ground truth data. While the 30-meter spatial resolution of this land cover data cannot accurately represent very small or narrow patches of land cover including shelterbelts and wildflower strips, given its relatively high resolution, full coverage, and historical availability, it is the best data for understanding land cover across agricultural landscapes in the U.S. We extract landscape indices from the CDL data using the landscapemetrics package in R, which considers all land cover in each county’s bounding box with the exception of open water and null categories. We measure compositional complexity using a set of six common landscape metrics associated with the number or the predominance of land cover categories across a landscape. Five of these metrics—Shannon Diversity Index, Simpson Diversity Index, Richness, Shannon Evenness Index, and Simpson Evenness Index—can be considered measures of land cover diversity. The sixth metric–Percent Natural Cover–is a simple measure of the predominance of undeveloped and uncultivated land cover classes (such as wetlands, grasslands, and forests) on a landscape. All of the compositional complexity metrics are aspatial, in that their calculation is not contingent on how land cover categories are arranged within the landscape. Configurational complexity is measured using four landscape metrics associated with the size of land cover patches (continuous areas of a single land cover category), shape of land cover patches, or mixing of land cover categories across the landscape. The metrics Mean Patch Area and Largest Patch Index are most strongly associated with patch size, the Contagion metric is a measure of land cover category mixing and strongly related to patch size, and the Edge Density metric is related to patch size and shape. Unlike the landscape composition metrics, the four landscape configuration metrics are spatially explicit and depend on the arrangement of land cover categories across the landscape. All code used to build data can be found here: https://github.com/katesnelson/aglandscapes-what-or-how Resources in this dataset:

Resource Title: County-level Estimates of Landscape Complexity and Configuration in the Coterminous US File Name: landscape_panel.txt Resource Description: GEOID: State and county FIPS codes in format SSCCC YEAR: Year in which CDL data was collected VALUE: Index value INDEX_NAME: Indices with _AG were computed for the subset of agricultural lands in a county. Indices with _ALL were computed for the entire landscape (agricultural and nonagricultural lands) in a county. LSM_AREA_MN_AG/ALL: Mean patch area, a measure of patch structure. Approaches 0 if all patches are small. Increases, without limit, as the patch areas increase. Higher values generally indicate lower complexity. LSM_CONTAG_AG/ALL: Contagion, a measure of dispersion and interspersion of land cover classes where a high proportion of like adjacencies and an uneven distribution of pairwise adjacencies produces a high contagion value. Range of 0 to 100. Higher values generally indicate lower complexity. LSM_ED_AG/ALL: Edge density, a measure of the patchiness of the landscape. Equals 0 if only one land cover is present and increased without limit as more land cover patches are added. Higher values generally indicate higher complexity. LSM_LPI_AG/ALL: Largest patch index, a measure of patch dominance representing the percentage of the landscape covered by the single largest patch. Approaches 0 when the largest patch is becoming small and equals 100 when only one patch is present. Higher values generally indicate lower complexity. LSM_RICH_AG/ALL: Richness, a measure of the abundance of categories. Higher values generally indicate higher complexity. LSM_SHDI_AG/ALL: Shannon Diversity Index, a measure of the abundance and evenness of land cover categories. This index is sensitive to rare land cover categories. Typical values are between 1.5 and 3. Higher values indicate higher complexity. LSM_SHEI_ALL: Simpson Evenness Index, a measure of diversity or dominance calculated as the ratio between the Shannon Diversity Index and the theoretical maximum of the Shannon Diversity Index. Shannon Evenness Index = 0 when there is only one land cover on the landscape and equals 1 when all land cover classes are equally distributed. Higher values generally indicate higher complexity. LSM_SIDI_ALL: Simpson Diversity Index, a diversity measure that considers the abundance and evenness of land cover categories. This index is not sensitive to rare land cover categories. Values range from 0 to 1. Higher values generally indicate higher complexity MODE_AG : Most dominant agricultural land use type found in the data (mode of agricultural CDL categories) MODE_ALL : Most dominant land use type found in the data (mode of all land use categories) PNC : Percent natural cover

Resource Title: Technical Validation File Name: technical_validation.txt

About this dataset

Context

This list ranks the 23 cities in the Cheboygan County, MI by Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Black Population: This column displays the rank of cities in the Cheboygan County, MI by their Black or African American population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Black Population: The Black population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Cheboygan County Black Population: This tells us how much of the entire Cheboygan County, MI Black population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Gwinnett 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, all of the household sizes were found in Gwinnett County. Across the different household sizes in Gwinnett County the mean income is $95,497, and the standard deviation is $27,015. The coefficient of variation (CV) is 28.29%. 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 $40,365. It then further increased to $99,505 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/gwinnett-county-ga-median-household-income-by-household-size.jpeg" alt="Gwinnett 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 Gwinnett 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 Montgomery County, AL, 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 Montgomery County. Across the different household sizes in Montgomery County the mean income is $70,642, and the standard deviation is $22,655. The coefficient of variation (CV) is 32.07%. 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 $36,506. It then further increased to $104,533 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/montgomery-county-al-median-household-income-by-household-size.jpeg" alt="Montgomery County, AL 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 Montgomery 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 Monroe County, NY, 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 Monroe County. Across the different household sizes in Monroe County the mean income is $97,644, and the standard deviation is $30,493. The coefficient of variation (CV) is 31.23%. 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 $36,808. It then further increased to $120,111 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/monroe-county-ny-median-household-income-by-household-size.jpeg" alt="Monroe County, NY 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 Monroe 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 Pontotoc County, MS, 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, Pontotoc County did not include 7-person households. Across the different household sizes in Pontotoc County the mean income is $77,725, and the standard deviation is $33,212. The coefficient of variation (CV) is 42.73%. 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 $28,022. It then further increased to $122,035 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/pontotoc-county-ms-median-household-income-by-household-size.jpeg" alt="Pontotoc County, MS 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 Pontotoc 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 Jackson County, OR, 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 Jackson County. Across the different household sizes in Jackson County the mean income is $94,234, and the standard deviation is $35,857. The coefficient of variation (CV) is 38.05%. 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 $37,481. It then further increased to $155,925 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/jackson-county-or-median-household-income-by-household-size.jpeg" alt="Jackson County, OR 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 Jackson 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 Philadelphia County, PA, 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 Philadelphia County. Across the different household sizes in Philadelphia County the mean income is $72,400, and the standard deviation is $20,004. The coefficient of variation (CV) is 27.63%. 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 $33,085. It then further increased to $98,483 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/philadelphia-county-pa-median-household-income-by-household-size.jpeg" alt="Philadelphia County, PA 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 Philadelphia 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 Hot Spring County, 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, all of the household sizes were found in Hot Spring County. Across the different household sizes in Hot Spring County the mean income is $69,900, and the standard deviation is $27,542. The coefficient of variation (CV) is 39.40%. 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 $27,669. It then further increased to $63,813 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/hot-spring-county-ar-median-household-income-by-household-size.jpeg" alt="Hot Spring County, 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 Hot Spring County median household income. You can refer the same here