https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/
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
Join our Community
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/100-richest-people-in-world.
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.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in West Virginia per the most current US Census data, including information on rank and average income.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States US: Account at a Financial Institution: 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 at a Financial Institution: 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 at a Financial Institution: 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. Account at a financial institution denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution.; ; Demirguc-Kunt et al., 2015, Global Financial Inclusion Database, World Bank.; Weighted average;
https://www.newyork-demographics.com/terms_and_conditionshttps://www.newyork-demographics.com/terms_and_conditions
A dataset listing New York counties by population for 2024.
https://www.washington-demographics.com/terms_and_conditionshttps://www.washington-demographics.com/terms_and_conditions
A dataset listing Washington counties by population for 2024.
https://www.florida-demographics.com/terms_and_conditionshttps://www.florida-demographics.com/terms_and_conditions
A dataset listing the 20 richest counties in Florida for 2024, including information on rank, county, population, average income, and median income.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in New Jersey per the most current US Census data, including information on rank and average income.
https://www.connecticut-demographics.com/terms_and_conditionshttps://www.connecticut-demographics.com/terms_and_conditions
A dataset listing the 20 richest cities in Connecticut for 2024, including information on rank, city, county, population, average income, and median income.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
https://www.missouri-demographics.com/terms_and_conditionshttps://www.missouri-demographics.com/terms_and_conditions
A dataset listing the 20 richest cities in Missouri for 2024, including information on rank, city, county, population, average income, and median income.
https://www.virginia-demographics.com/terms_and_conditionshttps://www.virginia-demographics.com/terms_and_conditions
A dataset listing the 20 richest cities in Virginia for 2024, including information on rank, city, county, population, average income, and median income.
https://www.michigan-demographics.com/terms_and_conditionshttps://www.michigan-demographics.com/terms_and_conditions
A dataset listing the 20 richest cities in Michigan for 2024, including information on rank, city, county, population, average income, and median income.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in Missouri per the most current US Census data, including information on rank and average income.
https://www.virginia-demographics.com/terms_and_conditionshttps://www.virginia-demographics.com/terms_and_conditions
A dataset listing the 20 richest counties in Virginia for 2024, including information on rank, county, population, average income, and median income.
Patterns of educational attainment vary greatly across countries, and across population groups within countries. In some countries, virtually all children complete basic education whereas in others large groups fall short. The primary purpose of this database, and the associated research program, is to document and analyze these differences using a compilation of a variety of household-based data sets: Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS); Living Standards Measurement Study Surveys (LSMS); as well as country-specific Integrated Household Surveys (IHS) such as Socio-Economic Surveys.As shown at the website associated with this database, there are dramatic differences in attainment by wealth. When households are ranked according to their wealth status (or more precisely, a proxy based on the assets owned by members of the household) there are striking differences in the attainment patterns of children from the richest 20 percent compared to the poorest 20 percent.In Mali in 2012 only 34 percent of 15 to 19 year olds in the poorest quintile have completed grade 1 whereas 80 percent of the richest quintile have done so. In many countries, for example Pakistan, Peru and Indonesia, almost all the children from the wealthiest households have completed at least one year of schooling. In some countries, like Mali and Pakistan, wealth gaps are evident from grade 1 on, in other countries, like Peru and Indonesia, wealth gaps emerge later in the school system.The EdAttain website allows a visual exploration of gaps in attainment and enrollment within and across countries, based on the international database which spans multiple years from over 120 countries and includes indicators disaggregated by wealth, gender and urban/rural location. The database underlying that site can be downloaded from here.
https://www.oregon-demographics.com/terms_and_conditionshttps://www.oregon-demographics.com/terms_and_conditions
A dataset listing the 20 richest counties in Oregon for 2024, including information on rank, county, population, average income, and median income.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains the digitized treatments in Plazi based on the original journal article Kubentayev, Serik A., Baasanmunkh, Shukherdorj, Alibekov, Daniyar T., Tojibaev, Komiljon Sh., Nyamgerel, Nudkhuu, Ivashchenko, Anna A., Tsegmed, Zagarjav, Epiktetov, Vladimir G., Sitpayeva, Gulnara T., Izbastina, Klara S., Idrissova, Zhansaya T., Mukhtubayeva, Saule K., Abubakirova, Nurganym B., Gil, Hee-Young, Choi, Hyeok Jae (2024): Revisiting the genus Tulipa (Liliaceae) in Kazakhstan, the country with the richest tulip diversity worldwide. PhytoKeys 250: 95-163, DOI: 10.3897/phytokeys.250.136736
https://www.georgia-demographics.com/terms_and_conditionshttps://www.georgia-demographics.com/terms_and_conditions
A dataset listing Georgia counties by population for 2024.
https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/
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
Join our Community
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/100-richest-people-in-world.