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Context
The dataset tabulates the Argentine township population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Argentine township.
The dataset will have the following datasets when applicable
Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)
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/.
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Argentina Ethnic Wear market to add USD 330 million by 2030, supported by handmade textiles and traditional pattern revival.
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Context
The dataset tabulates the Non-Hispanic population of Argentine township by race. It includes the distribution of the Non-Hispanic population of Argentine township across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Argentine township across relevant racial categories.
Key observations
Of the Non-Hispanic population in Argentine township, the largest racial group is White alone with a population of 6,551 (96.39% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Argentine township Population by Race & Ethnicity. You can refer the same here
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Abstract The aim of this work was to describe the phenotypic and genotypic variability related to iris color for the population of Buenos Aires province (Argentina), and to assess the usefulness of current methods of analysis for this country. We studied five Single Nucleotide Polymorphisms (SNPs) included in the IrisPlex kit, in 118 individuals, and we quantified eye color with Digital Iris Analysis Tool. The markers fit Hardy-Weinberg equilibrium for the whole sample, but not for rs12913832 within the group of brown eyes (LR=8.429; p=0.004). We found a remarkable association of HERC2 rs12913832 GG with blue color (p < 0.01) but the other markers did not show any association with iris color. The results for the Buenos Aires population differ from those of other populations of the world for these polymorphisms (p < 0,01). The differences we found might respond to the admixed ethnic composition of Argentina; therefore, methods of analysis used in European populations should be carefully applied when studying the population of Argentina. These findings reaffirm the importance of this investigation in the Argentinian population for people identification based on iris color.
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Context
The dataset tabulates the population of Argentine township by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Argentine township across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 51.61% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
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 Argentine township Population by Race & Ethnicity. You can refer the same here
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Context
The dataset presents the median household income across different racial categories in Argentine township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of Argentine township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 95.46% of the total residents in Argentine township. Notably, the median household income for White households is $91,190. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $91,190.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Argentine township median household income by race. You can refer the same here
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TwitterОпределение: Процент людей в возрасте от 20 до 24 лет, получивших среднее образование. [Переведено с en: английского языка] Тематическая область: Демография (CELADE) [Переведено с en: английского языка] Область применения: Социальные и экономические [Переведено с en: английского языка] Единица измерения: Процент [Переведено с en: английского языка] Источник данных: Демографический центр Латинской Америки и Карибского бассейна (CELADE) - Отдел народонаселения ЭКЛАК, на основе наборов микроданных национальных переписей населения [Переведено с es: испанского языка] Комментарии: Для обеспечения сопоставимости структур образования между странами региона показатель рассчитывается на основе Международной стандартной классификации образования (ISCED-1997). ISCED - это методологическая основа, которая классифицирует образовательные программы на шесть уровней, эквивалентных по содержанию: Дошкольное образование (уровень 0), начальное образование (уровень 1), Первый цикл среднего образования или второй цикл базового образования (уровень 2), Второй цикл среднего образования (уровень 3), последипломное образование.среднее образование, не относящееся к высшему образованию (уровень 4), Первый цикл высшего образования (уровень 5), Второй цикл высшего образования (уровень 6). Уровни определяются с учетом возраста поступления и продолжительности каждого уровня. Показатель рассчитывается с учетом среднего образования в утвержденные годы обучения в соответствии с критериями, установленными Международной стандартной классификацией образования (ISCED 97, ЮНЕСКО). Что касается обработки данных переписи, то необходимо учитывать следующие соображения: Аргентина (2010), Боливия (многонациональное государство) (2001), Бразилия (2000), Чили (2017), Колумбия (2005 и 2018), Эквадор (2001), Мексика (2000), Парагвай (2002), Уругвай (2011) и Венесуэла (Боливарианская Республика) (2011): Показатель не включает население с неизвестными годами обучения. Аргентина (2010), Панама (2010), Уругвай (2011) и Мексика (2020): Этническая и расовая идентификация проводится комбинированным образом (коренные жители и лица африканского происхождения). В этих странах относительные показатели рассчитываются путем отнесения этих людей к этнической или расовой категории с наименьшим количеством случаев. Панама (2000): Не учитываются лица, проживающие за границей, которые находились в этой стране на момент переписи (характеристики образования этих людей не учитываются). [Переведено с es: испанского языка] Последнее обновление: Aug 8 2023 3:34PM Организация-источник: Экономическая комиссия для Латинской Америки и Карибского бассейна [Переведено с en: английского языка] Definition: Percentage of people from 20 to 24 years who completed secondary education. Thematic Area: Demographics (CELADE) Application Area: Social and economic Unit of Measurement: Percentage Data Source: CELADE (Latin American & Caribbean Demographic Center)- Population Division of ECLAC, on the basis of national population censuses microdata sets Comments: To ensure the comparability of educational structures among the countries of the region, the indicator is calculated based on the International Standard Classification of Education (ISCED-1997). ISCED is a methodological framework that classifies educational programs into six levels equivalent in content: Pre-primary education (Level 0), Primary education (Level 1), First cycle of secondary education or second cycle of basic education (Level 2), Second cycle of secondary education (Level 3), Post-secondary non-tertiary education (Level 4), First cycle of tertiary education (Level 5), Second cycle of tertiary education (Level 6). The levels are specified considering the entry age and the duration of each level. The indicator is calculated considering secondary schooling in approved years of study, according to the criteria established by the International Standard Classification of Education (ISCED 97, UNESCO). Regarding the processing of census data, the following considerations must be made: Argentina (2010), Bolivia (Plurinational State of) (2001), Brazil (2000), Chile (2017), Colombia (2005 and 2018), Ecuador (2001), Mexico (2000), Paraguay (2002), Uruguay (2011) and Venezuela (Bolivarian Republic of) (2011): The indicator does not include population with unknown years of study. Argentina (2010), Panama (2010), Uruguay (2011) and Mexico (2020): Ethnic-racial identification is carried out in a combined manner (indigenous and Afro-descendant). In these countries, the relative measures are calculated by assigning these people to the ethnic-racial category with the fewest cases. Panama (2000): Does not include people residing abroad who were in this country at the time of the census (educational characteristics are not captured for these people). Last Update: Aug 8 2023 3:34PM Source Organization: Economic Commission for Latin America and the Caribbean
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Argentine township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Argentine township median household income by race. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Argentine township population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Argentine township.
The dataset will have the following datasets when applicable
Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)
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/.