Thailand Household Current Income: Per Capita: NR: Quintile 2 data was reported at 4,017.000 THB in 2017. This records a decrease from the previous number of 4,112.100 THB for 2015. Thailand Household Current Income: Per Capita: NR: Quintile 2 data is updated yearly, averaging 3,827.000 THB from Dec 2011 (Median) to 2017, with 4 observations. The data reached an all-time high of 4,112.100 THB in 2015 and a record low of 3,153.000 THB in 2011. Thailand Household Current Income: Per Capita: NR: Quintile 2 data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.G041: Household Income & Assets Statistics.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Two Rivers Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 17,983, while the mean income for the highest quintile (20% of households with the highest income) is 230,047. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 379,359, which is 164.90% higher compared to the highest quintile, and 2109.54% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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 Two Rivers township median household income. You can refer the same here

Thailand Household Current Income: % Share: GB: Quintile 2 data was reported at 12.600 % in 2015. This records an increase from the previous number of 12.326 % for 2013. Thailand Household Current Income: % Share: GB: Quintile 2 data is updated yearly, averaging 12.326 % from Dec 2011 (Median) to 2015, with 3 observations. The data reached an all-time high of 12.600 % in 2015 and a record low of 10.300 % in 2011. Thailand Household Current Income: % Share: GB: Quintile 2 data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.G042: Household Income & Assets Statistics.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Two Creeks, Wisconsin, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 26,769, while the mean income for the highest quintile (20% of households with the highest income) is 217,922. This indicates that the top earners earn 8 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 439,465, which is 201.66% higher compared to the highest quintile, and 1641.69% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Two Creeks town median household income. You can refer the same here

Thailand Household Current Income: % Share: CR: Quintile 2 data was reported at 13.700 % in 2017. This stayed constant from the previous number of 13.700 % for 2015. Thailand Household Current Income: % Share: CR: Quintile 2 data is updated yearly, averaging 13.650 % from Dec 2011 (Median) to 2017, with 4 observations. The data reached an all-time high of 13.700 % in 2017 and a record low of 13.471 % in 2013. Thailand Household Current Income: % Share: CR: Quintile 2 data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.G041: Household Income & Assets Statistics.

Values expressed as hazard ratio (95% confidence interval) (HR [95% CI]) and odds ratio (OR [95% CI]).Adjusted for age, gender, diabetes mellitus, cardiovascular disease, current smoker, body mass index, mean arterial pressure, estimated glomerular filtration rate, log-transformed urine protein, albumin, hemoglobin, log-transformed C-reactive protein, glycated hemoglobin, uric acid, phosphate, statin and fibrate.*P

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in University Park, MD, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 65,515, while the mean income for the highest quintile (20% of households with the highest income) is 484,420. This indicates that the top earners earn 7 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 711,090, which is 146.79% higher compared to the highest quintile, and 1085.39% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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 University Park median household income. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in West Palm Beach, FL, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 15,733, while the mean income for the highest quintile (20% of households with the highest income) is 343,762. This indicates that the top earners earn 22 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 755,644, which is 219.82% higher compared to the highest quintile, and 4802.92% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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 Palm Beach median household income. You can refer the same here

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

Vietnam HSS: HS: Quintile 2: South East data was reported at 4.030 Person in 2014. This records a decrease from the previous number of 4.200 Person for 2012. Vietnam HSS: HS: Quintile 2: South East data is updated yearly, averaging 4.155 Person from Dec 2008 (Median) to 2014, with 4 observations. The data reached an all-time high of 4.660 Person in 2008 and a record low of 4.030 Person in 2014. Vietnam HSS: HS: Quintile 2: South East data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.H021: Household Living Standard Survey (HSS): Household Size .

This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, _location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.University of Vermont Spatial Analysis LaboratoryThe dataset covers the following tree canopy categories:Environmental Justice Priority AreasCensus tracts composite / quintileExisting tree canopy percentage & environmental justice priority levelExisting tree canopyPossible tree canopyRelative percentage changeFor more information, please see the 2021 Tree Canopy Assessment.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Waldo, AR, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 7,012, while the mean income for the highest quintile (20% of households with the highest income) is 106,051. This indicates that the top earners earn 15 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 138,906, which is 130.98% higher compared to the highest quintile, and 1980.98% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Waldo median household income. You can refer the same here

South Korea HS: OU: 2 Quintile: AME: Consumption (CS) data was reported at 1,403,396.000 KRW in 2017. South Korea HS: OU: 2 Quintile: AME: Consumption (CS) data is updated yearly, averaging 1,403,396.000 KRW from Dec 2017 (Median) to 2017, with 1 observations. South Korea HS: OU: 2 Quintile: AME: Consumption (CS) data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H065: Household Income and Expenditure Survey (HS): by Income Quintile: Other Urban Household.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in West City, IL, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 11,972, while the mean income for the highest quintile (20% of households with the highest income) is 116,152. This indicates that the top earners earn 10 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 155,392, which is 133.78% higher compared to the highest quintile, and 1297.96% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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 City median household income. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Webster County, IA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 15,086, while the mean income for the highest quintile (20% of households with the highest income) is 196,252. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 337,779, which is 172.11% higher compared to the highest quintile, and 2239.02% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in West College Corner, IN, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 22,759, while the mean income for the highest quintile (20% of households with the highest income) is 116,758. This indicates that the top earners earn 5 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 157,361, which is 134.78% higher compared to the highest quintile, and 691.42% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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 College Corner median household income. You can refer the same here

Vietnam HSS: MHE: Per Capita: Quintile 2: Income data was reported at 91.100 VND th in 2016. This records an increase from the previous number of 78.700 VND th for 2014. Vietnam HSS: MHE: Per Capita: Quintile 2: Income data is updated yearly, averaging 45.200 VND th from Dec 2004 (Median) to 2016, with 7 observations. The data reached an all-time high of 91.100 VND th in 2016 and a record low of 16.300 VND th in 2004. Vietnam HSS: MHE: Per Capita: Quintile 2: Income data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.H025: Household Living Standard Survey (HSS): Monthly Health Expenditure Per Capita.

South Korea HS: UW: 2 Quintile: Distribution of Household data was reported at 20.020 % in 2017. South Korea HS: UW: 2 Quintile: Distribution of Household data is updated yearly, averaging 20.020 % from Dec 2017 (Median) to 2017, with 1 observations. South Korea HS: UW: 2 Quintile: Distribution of Household data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H063: Household Income and Expenditure Survey (HS): by Income Quintile: Urban Salary and Wage Earner.

Korea HS: OU: 2 Quintile: Exp: Non Consumption (NC) data was reported at 447,754.000 KRW in Sep 2018. This records an increase from the previous number of 378,284.000 KRW for Jun 2018. Korea HS: OU: 2 Quintile: Exp: Non Consumption (NC) data is updated quarterly, averaging 267,638.000 KRW from Mar 1990 (Median) to Sep 2018, with 115 observations. The data reached an all-time high of 487,090.000 KRW in Sep 2015 and a record low of 66,512.000 KRW in Mar 1990. Korea HS: OU: 2 Quintile: Exp: Non Consumption (NC) data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H065: Household Income and Expenditure Survey (HS): by Income Quintile: Other Urban Household.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Polo, MO, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 9,229, while the mean income for the highest quintile (20% of households with the highest income) is 234,652. This indicates that the top earners earn 25 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 582,791, which is 248.36% higher compared to the highest quintile, and 6314.78% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Polo median household income. You can refer the same here