The massive wealth inequality in the world is underpinned by this chart: while just above *** percent of the world's population had fortunes of more than one million U.S. dollars in 2022, more than **** of the global population had a total wealth of less than 10,000 U.S. dollars.
This time-series dataset includes data on countries worldwide and information on indicators pertaining to health and population by wealth quintile by each country from 1990 to 2020.
This statistic illustrates the distribution of adult population in Hong Kong in 2022 by wealth range group. That year, approximately ** percent of adults in Hong Kong had wealth of 100,000 to *********** U.S. dollars. In comparison, around ** percent of adult population in Taiwan were in this wealth range group.
This statistic illustrates the distribution of adult population in Qatar in 2019 by wealth range group. That year, approximately **** percent of adults in Qatar had wealth of 10,000 to 100,000 U.S. dollars.
This database presents HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).
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Norway NO: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 3.851 % in 2010. This records a decrease from the previous number of 3.862 % for 2000. Norway NO: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 3.862 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 3.883 % in 1990 and a record low of 3.851 % in 2010. Norway NO: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank: Land Use, Protected Areas and National Wealth. Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;
This statistic illustrates the distribution of adult population in Taiwan in 2022 by wealth range group. That year, approximately **** percent of adults in Taiwan had wealth of 100,000 to *********** U.S. dollars.
This data package contains data on key health, education, nutrition, and population statistics gathered from different international sources.
“Identified wealth” is the wealth represented by estates passing on death each year and requiring a grant of representation, grossed up to reflect the living population using mortality rates. Not all estates require a grant of representation, and hence the figures given in this table do not represent the entire population. The “identified wealth” population for 2011 to 2013 was 30% (15.153 million) of the average UK adult population, and 27% (14.072 million) for 2014 to 2016.
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Qatar QA: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 12.829 % in 2010. This records a decrease from the previous number of 13.191 % for 2000. Qatar QA: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 13.191 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 14.506 % in 1990 and a record low of 12.829 % in 2010. Qatar QA: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Qatar – Table QA.World Bank: Land Use, Protected Areas and National Wealth. Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;
In 2022, about 40 percent of adults in Mexico held a net worth under 10,000 U.S. dollars. In contrast, merely 393,000 Mexicans (that is, 0.4 percent of the total) had a net worth of over one million U.S. dollars. Mexico is one of the most unequal countries in Latin America regarding wealth distribution, with 78.7 percent of the national wealth held by the richest ten percent of the population.
The minimum salaryThe minimum wage per day guaranteed by law in Mexico was decreed to increase by 22 percent between 2021 and 2022, reaching 172.87 Mexican pesos in 2022. In the Free Zone located near the northern border the minimum daily wage was raised to 260.34 Mexican pesos.This represented the fourth consecutive incrase since 2019, but could prove to be insufficient to maintain the wellbeing of Mexican workers after the soaring inflation rate registered in 2022 and the economic impact of the COVID-19 in Mexican households. The legal minimum salary has a long history in the North American country, it was first implemented with the approval of the Political Constitution of the United Mexican States in 1917. Income inequality in Latin AmericaLatin America, as other developing regions in the world, generally records high rates of inequality, with a Gini coefficient ranging between 38 and 54 among the region’s countries. Moreover, many of the countries with the biggest inequality in income distribution worldwide are found in Latin America. According to the Human Development Report 2019, wealth redistribution by means of tax transfers improves Latin America's Gini coefficient to a lesser degree than it does in advanced economies. Wider access to education and health services, on the other hand, have been proven to have a greater direct effect in improving Gini coefficient measurements in the region.
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The dataset provides information on exposure to natural hazards for 37 European countries and territories from 1870 to 2020, regridded to EURO-CORDEX 0.11 degree rotated-pole grid and geographical 5 arc minute grid (WGS84). The database was constructed using high-resolution maps of present land use and population, a large compilation of historical statistics, and relatively simple and explicit models and disaggregation techniques. It can be utilized to study changes in exposure, vulnerability and risk to various natural hazards.
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CO: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 0.561 % in 2015. This records a decrease from the previous number of 0.571 % for 2000. CO: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 0.571 % from Dec 1990 (Median) to 2015, with 3 observations. The data reached an all-time high of 0.579 % in 1990 and a record low of 0.561 % in 2015. CO: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Environmental: Land Use, Protected Areas and National Wealth. Rural population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.;Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.;Weighted average;
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Context
The dataset tabulates the Money Creek township population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Money Creek township. The dataset can be utilized to understand the population distribution of Money Creek township by age. For example, using this dataset, we can identify the largest age group in Money Creek township.
Key observations
The largest age group in Money Creek Township, Minnesota was for the group of age 60-64 years with a population of 87 (14.70%), according to the 2021 American Community Survey. At the same time, the smallest age group in Money Creek Township, Minnesota was the 25-29 years with a population of 5 (0.84%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for Money Creek township Population by Age. You can refer the same here
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Taiwan Employment: Service: Human Wealth & Social Work data was reported at 384.019 Person th in 2010. Taiwan Employment: Service: Human Wealth & Social Work data is updated yearly, averaging 384.019 Person th from Dec 2010 (Median) to 2010, with 1 observations. Taiwan Employment: Service: Human Wealth & Social Work data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G029: Working Age Population and Employment: Population and Housing Census.
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Sweden SE: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 3.737 % in 2010. This records an increase from the previous number of 3.734 % for 2000. Sweden SE: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 3.734 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 3.737 % in 2010 and a record low of 3.638 % in 1990. Sweden SE: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank: Land Use, Protected Areas and National Wealth. Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;
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Graph and download economic data for Share of Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01134) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.
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Wealth inequality has been sharply rising in the United States and across many other high-income countries. Due to a lack of data, we know little about how this trend has unfolded across locations within countries. Investigating this subnational geography of wealth is crucial, as from one generation to the next, wealth powerfully shapes opportunity and disadvantage across individuals and communities. Using machine-learning-based imputation to link newly assembled national historical surveys conducted by the U.S. Federal Reserve to population survey microdata, the data presented in this paper addresses this gap. The Geographic Wealth Inequality Database ("GEOWEALTH-US") provides the first estimates of the level and distribution of wealth at various geographical scales within the United States from 1960 to 2020. The GEOWEALTH-US database enables new lines investigation into the contribution of inter-regional wealth patterns to major societal challenges including wealth concentration, spatial income inequality, equality of opportunity, housing unaffordability, and political polarization.
Mined from Kenya Demographic and Health Survey, this dataset explores the percent distribution of currently married women age 15-49 who received cash earnings for employment in the 12 months preceding the survey by whether she earned more or less than her husband, according to wealth quintile
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Jordan JO: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 0.003 % in 2010. This records a decrease from the previous number of 0.003 % for 2000. Jordan JO: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 0.003 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 0.003 % in 2000 and a record low of 0.002 % in 1990. Jordan JO: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jordan – Table JO.World Bank: Land Use, Protected Areas and National Wealth. Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;
The massive wealth inequality in the world is underpinned by this chart: while just above *** percent of the world's population had fortunes of more than one million U.S. dollars in 2022, more than **** of the global population had a total wealth of less than 10,000 U.S. dollars.