Dataset Card for 100 Richest People In World

  Dataset Summary

This dataset contains the list of Top 100 Richest People in the World Column Information:-

Name - Person Name NetWorth - His/Her Networth Age - Person Age Country - The country person belongs to Source - Information Source Industry - Expertise Domain

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[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/100-richest-people-in-world.

Why do the rich and poor support different parties in some places? We argue that voting along class lines is more likely to occur where states can tax the income and assets of the wealthy. In low bureaucratic capacity states, the rich are less likely to participate in electoral politics because they have less to fear from redistributive policy. When wealthy citizens abstain from voting, politicians face a more impoverished electorate. Because politicians cannot credibly campaign on anti-tax platforms, they are less likely to emphasize redistribution and partisan preferences are less likely to diverge across income groups. Using cross-national survey data, we show there is more class voting in countries with greater bureaucratic capacity. We also show that class voting and fiscal capacity were correlated in the United States in the mid-1930s when state-level revenue collection and party systems were less dependent on national economic policy.

United States US: Account: Income: Richest 60%: % Aged 15+ data was reported at 97.904 % in 2014. This records an increase from the previous number of 92.810 % for 2011. United States US: Account: Income: Richest 60%: % Aged 15+ data is updated yearly, averaging 95.357 % from Dec 2011 (Median) to 2014, with 2 observations. The data reached an all-time high of 97.904 % in 2014 and a record low of 92.810 % in 2011. United States US: Account: Income: Richest 60%: % Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Banking Indicators. Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (income, richest 60%, % age 15+). [ts: data are available for multiple waves].; ; Demirguc-Kunt et al., 2015, Global Financial Inclusion Database, World Bank.; Weighted average;

In 2023, the real median household income in the state of Alabama was 60,660 U.S. dollars. The state with the highest median household income was Massachusetts, which was 106,500 U.S. dollars in 2023. The average median household income in the United States was at 80,610 U.S. dollars.

A dataset listing the richest zip codes in United States Virgin Islands per the most current US Census data, including information on rank and average income.

This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Rich County, Utah.

The scope and purpose of NWIS is defined on the web site:

http://water.usgs.gov/public/pubs/FS/FS-027-98/

The Images were collected and shot in Jinan Metro, China from May 2022 to August 2023, and then obtained by video frame processing. After various image processing such as LBP changes, a rich data set is constructed. The wind valve state is divided into three states: full open, full closed, half open and half closed. The data set consists of multiple folders, consisting of the original images and data after the image processing process.

The dataset contains year-, state-, region- and fractile-class-wise data on distribution (per thousand) of households with different percentage level of calorie intaken everyday to the standard consumer unit of 2700 kilocalories per day. The dataset presents the data by division of households by the level of their income (mpce fractile-class) and by percentage of calorie intaken such as 70 percent, 80 percent, etc., to the actual standard requirement of 2700 kilocalories every day.

Note: For the years 2023 and 2024, the NSS published separate data with adjusted and unadjusted values for intake of calories and other things. However, the report categorically stated unadjusted values are best used for comparison purpose. Hence, only the unadjusted data is captured in the dataset for 2023 and 2024

We present simultaneous observations of several rotational lines of ^28^SiO in the v=1, 2, 3, and 4 vibrationally excited states toward O-rich evolved stars. All the data were taken in a relatively short period of 65 days, which allows a comparative study of the ^28^SiO maser lines intensities and profiles. The observed differences concerning intensity and line shape among the different maser lines suggest that infrared overlaps deeply affect the pumping of some SiO masers. We qualitatively discuss this effect with consideration to the IR overlaps at 8 {mu}m between the various SiO isotopomers and between ^28^SiO and water vapor

Context

The dataset is from the U.S. Small Business Administration (SBA)

The U.S. SBA was founded in 1953 on the principle of promoting and assisting small enterprises in the U.S. credit market (SBA Overview and History, US Small Business Administration (2015)). Small businesses have been a primary source of job creation in the United States; therefore, fostering small business formation and growth has social benefits by creating job opportunities and reducing unemployment.

There have been many success stories of start-ups receiving SBA loan guarantees such as FedEx and Apple Computer. However, there have also been stories of small businesses and/or start-ups that have defaulted on their SBA-guaranteed loans.

Content

Shape of the data: 899164 rows and 27 columns

Data Dictionary

Description of the first two digits of NAICS.

Acknowledgements

Original data set id from “Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines. by: Min Li, Amy Mickel & Stanley Taylor

To link to this article: https://doi.org/10.1080/10691898.2018.1434342

Inspiration

Good luck with predictions!

While most Americans appear to acknowledge the large gap between the rich and the poor in the U.S., it is not clear if the public is aware of recent changes in income inequality. Even though economic inequality has grown substantially in recent decades, studies have shown that the public's perception of growing income disparities has remained mostly unchanged since the 1980s. This research offers an alternative approach to evaluating how public perceptions of inequality are developed. Centrally, it conceptualizes the public's response to growing economic disparities by applying theories of macro-political behavior and place-based contextual effects to the formation of aggregate perceptions about income inequality. It is argued that most of the public relies on basic information about the economy to form attitudes about inequality and that geographic context---in this case, the American states---plays a role in how views of income disparities are produced. A new measure of state perceptions of growing economic inequality over a 25-year period is used to examine whether the public is responsive to objective changes in economic inequality. Time-series cross-sectional analyses suggest that the public's perceptions of growing inequality are largely influenced by objective state economic indicators and state political ideology. This research has implications for how knowledgeable the public is of disparities between the rich and the poor, whether state context influences attitudes about inequality, and what role the public will have in determining how expanding income differences are addressed through government policy.

Recent studies of representation at the national and state levels have provided evidence that elected officials’ votes, political parties’ platforms, and enacted policy choices are more responsive to the preferences of the affluent, while those with average incomes and the poor have little or no impact in the political process. Yet, this research on the dominance of the affluent has overlooked key partisan differences in the electorate. In this era of hyper-partisanship, we argue that representation occurs through the party system, and we test whether taking this reality into account changes the story of policy dominance by the rich. We combine data on public preferences and state party positions to test for income bias in parties’ representation of their own co-partisans. The results show an interesting pattern in which under-representation of the poor is driven by Democratic parties pushing the more liberal social policy stances of rich Democrats and Republican parties reflecting the particularly conservative economic policy preferences of Rich Republicans. Thus, we have ample evidence that the wealthy, more often than not, do call the shots, but that the degree to which this disproportionate party responsiveness produces less representative policies depends on the party in power and the policy dimension being considered. We conclude by linking this pattern of influence and “coincidental representation” to familiar changes which define the transformation of the New Deal party system.[insert article abstract]

A dataset listing the 20 richest cities in Ohio for 2024, including information on rank, city, county, population, average income, and median income.

A dataset listing New York counties by population for 2024.

A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.

A dataset listing the 20 richest counties in Illinois for 2024, including information on rank, county, population, average income, and median income.

A dataset listing the 20 richest counties in Washington for 2024, including information on rank, county, population, average income, and median income.

A dataset listing the 20 richest cities in Michigan for 2024, including information on rank, city, county, population, average income, and median income.

A dataset listing Ohio counties by population for 2024.

A dataset listing the 20 richest counties in Georgia for 2024, including information on rank, county, population, average income, and median income.