About this dataset

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).

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Argentine township
• Population: The population of the racial category (for Non-Hispanic) in the Argentine township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Argentine township total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Argentine township Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Argentine township by race. It includes the population of Argentine township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Argentine township across relevant racial categories.

Key observations

The percent distribution of Argentine township population by race (across all racial categories recognized by the U.S. Census Bureau): 95.46% are white, 0.44% are Black or African American, 0.58% are Asian, 0.10% are Native Hawaiian and other Pacific Islander, 0.84% are some other race and 2.57% are multiracial.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Argentine township
• Population: The population of the racial category (excluding ethnicity) in the Argentine township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Argentine township total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Argentine township Population by Race & Ethnicity. You can refer the same here

Much of Argentina's modern society and culture is rooted in the Spanish Empire's colonization of the region in the 16th century, along with the influx of European migration to the country around the turn of the twentieth century. There are records of human presence in the region dating back to the paleolithic period (3.3 million to 9,650 BCE) and the Incan Empire is known to have extended into the region before Columbus' arrival in the Americas in 1492; however most of this culture and civilization was wiped out by Europeans in the 1500s. During Spanish colonization, the majority of Argentina was a part of the Viceroyalty of the Río de la Plata (which also included territories in modern-day Chile, Bolivia, Paraguay and Uruguay) and was still economically bound to the Spanish crown. With a population of just 0.5 million in 1800, a combination of mass migration (particularly from Southern Europe) and high birth rates have helped Argentina's population grow above 45 million over the past two centuries.

Independence, Immigration and the Gold rush The age of enlightenment and revolutions in Europe inspired a longing in the region for independence, and Napoleon's invasion of Spain in 1808 was the catalyst for the Spanish Empire's downfall in the Americas, with Argentinian independence declared in 1816. The Spanish military was then defeated in mid 1800s, but for the majority of the next century there was little political or economic stability in the region, with several small-scale civil wars between the different Argentinian states. Starting with the government of Julio Argentino Roca in 1880, ten consecutive federal governments actively pursued a liberal economic policy which led to a massive wave of state-promoted European immigration; so much so that the number of migrants received by Argentina in that period was second only to the United States worldwide. This immigration led to the rejuvenation and reinvention of Argentinian society and economy to such an extent, that by 1908 the country had the seventh largest economy in the world. This in turn led to further immigration and higher standards of living. It is also worth noting that the Tierra del Fuego gold rush that started around 1883 and lasted to around 1906 also contributed greatly to immigration. Unfortunately, Argentina was unable to retain it's acquired economic might; it failed to develop industrially at the same speed as the rest of the world, and the Great Depression of 1929 set in motion an economic decline that contributed to much civil and political unrest.

The impact of Perón, and modern Argentina
The election of Juan Perón in 1946 proved to be a defining point in Argentina's history; Perón was a demagogue who imprisoned (and reportedly tortured) his rivals and critics, and whose isolationist policies and radical spending contributed to severe inflation. With the death of Perón's extremely popular wife, Eva Duarte, in 1952, his popularity declined and he was eventually exiled following a coup in 1955. Despite this exile, Perón returned in 1973 and re-assumed the presidency, until his death in 1974, where he was the succeeded by his third wife. Peron's political philosophy, known as "Peronism", is a mixture of right wing nationalist and left wing populist theories; although Peronism has developed greatly over time, its core belief system is the foundation of Argentina's largest party, the Justicialist Party (although they have become increasingly left wing since the Kirchner administrations).

With the expulsion of Perón in 1955, Argentina's trend of military coups and failed governments continued, and the country faced further economic instability. Despite all of this, medical advancements and improvements to quality of life across the globe helped Argentina's mortality rate to decline, and the population grew at a faster rate than ever before. In April 1982, Argentine forces invaded the British territory of the Falkland Islands, leading to a ten week war between the nations, that ended with Argentina's surrender in June. The war had a relatively small death toll, but contributed to riots in Buenos Aires, which helped to topple the military dictatorship and established the current democratic system. Following a severe recession that began in 2001, President Néstor Kirchner assumed office in 2003, and his wife took over from 2007 to 2015; during the Kirchner administrations, more than eleven million people were lifted out of poverty, and Argentina's economy grew in stature to become one of the Group of Twenty.

About this dataset

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.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Argentine township.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Argentine township median household income by race. You can refer the same here

As of June 2023, polls on the Argentine Elections prospects indicate a favorable preference among the population for the political parties of Frente de Todos, La Libertad Avanza, and Juntos por el Cambio. For female voters being Juntos the party with the highest voting intention, while their male counterparts had La Libertad Avanza in front of the race.

Historical Dataset of Argentine Middle School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),American Indian Student Percentage Comparison Over Years (1990-2010),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2003-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)

argentine race courses. name, image, type, Area, Capacity, date Opened, sport, city, administrative división, continent, Country, Website, lap record pilot, lap record, latitude, Length, longitude, number of Turns, Operator/Owner

This document provides information about how and where primary sources (newspapers, comics magazines, zines, graphic novels, etc.) were consulted and collected for the AHRC-funded project, Comics and Race in Latin America (CORALA). It lists the libraries and archives that were used, namely in Argentina, Peru and Colombia, the three countries focused on by the project, as well as libraries in the UK, Spain and Germany. It also refers to the private collections that were consulted and the bookshops in Latin America where additional materials were obtained.This document notes that due to copyright restrictions the project is unable to provide open access to the repository of images but that researchers can contact the project’s principal investigator, Dr. James Scorer for guidance relating to any material gathered by members of CORALA.

This dataset tracks annual two or more races student percentage from 2011 to 2023 for Argentine Middle School vs. Kansas and Kansas City School District

About this dataset

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

• White: In Argentine township, the median household income for the households where the householder is White increased by $9,270(11.32%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $81,920 in 2013 and $91,190 in 2023.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Argentine township.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 Argentine township median household income by race. You can refer the same here

Cultures of Anti-Racism in Latin America (CARLA) was a three-year project (January 2020 to May 2023) funded by the Arts and Humanities Research Council (UK) to explore how artists in Argentina, Brazil and Colombia address racial diversity in their work and how they use their art to challenge racism. The project was based in the University of Manchester and research teams focused on each country brought together senior and junior, UK-based and Latin American researchers in the social sciences and arts to work with a range of artists and performers to explore diverse practices, including Indigenous visual and performance arts in Brazil (including Indigenous hip-hop), Afro-Colombian visual art, poetry and dance, and Mapuche and Afro-Argentine theatre companies as well as an Argentine art collective that uses performance and visual arts as pedagogical and decolonial tools. Project researchers worked closely with artists and performers and collaborated with them in various public-facing activities.

The collaborations led to the production of items for an online exhibition (https://www.digitalexhibitions.manchester.ac.uk/s/carla-en/page/home; https://figshare.com/s/acbe67be51ceca9b4b86).

The data uploaded here consists of transcripts of: 1. six anonymised online interviews with Colombian people interested in Afro-Colombian music and dance; they talk about their personal trajectories and their relationship with Blackness and Black music and dance. 2. transcripts of four anonymised focus groups held online with Colombian participants interested in Afro-Colombian music and dance; in two groups, they talk about their feelings and thoughts about Afro-Colombian contemporary dance and, in two other groups, about champeta (an Afro-Colombian popular music style). 3. an anonymised transcript of an interview with an Indigenous Brazilian youth leader and journalist (EE) from the Guajajara people in Maranhão, Brazil. 4. a transcript of a recording made by Indigenous Brazilian artist Jaider Esbell about his work, especially recorded for the CARLA project. 5. an anonymised transcript of interviews with key participants in the exhibition Véxoa: Nós Sabemos, shown at the Pinacoteca de São Paulo, October 2020 to March 2021. 6. five anonymised transcripts of interviews with: an Indigenous Argentinian hip-hop group; four members of an Argentinian anti-racist art collective.

The data files are zipped into folders by country. An Excel spreadsheet and a read-me file are included with details of each file.

In a global context of persistent racism and racial inequality, alongside the growing "post-racial" denial of their importance, this project explored the role of the arts in challenging racism. The project aimed to investigate the sociality, practices and discourses of contemporary cultural producers working in literature and visual and performing arts who focus on issues of racial difference, racism and anti-racism in three Latin American contexts: Brazil, Colombia and Argentina.

Why the arts? We work on the basis that the arts have always played a crucial role in anti-racist movements, serving as important tools with which to protest against and educate about racism. The arts have the ability to mobilise emotions through narrative and performance, and this makes them well suited to deal with racism's dependence on an emotive logic. By combining expertise from the arts and the social sciences in a cultural studies approach, we sought to locate artistic practices that address racial inequality and racism in their social and cultural context; we aimed to map how the producers, their practices and their products circulate in the social world and produce effects there that contribute to the struggle against racism. While rationally devised social policy addressing socio-economic conditions is vital to correcting racial inequalities, it can simply by-pass, be undermined by and even exacerbate the visceral emotions that racial difference produces in a racially hierarchical society. It is these emotions we sought to approach and address through the medium of art and performance.

Why Latin America? Because the region has a long history in which "post-raciality" - by which we mean the tendency to deny or minimise the significance of racism and racial inequality, invoking a colour-blind universalism - has co-existed with marked racial inequality and with often veiled but still powerful racist attitudes. This paradoxical co-existence is becoming characteristic of other areas of the world, in the wake of post-World War II trends that made "race" politically toxic and made the denial of racism commonplace, while racial inequalities remain and even grow. We contend that the way struggles against racism in Latin America address this long-standing co-existence can hold lessons for anti-racism more widely. For example, the post-racial claim that increased inter-racial mixture indicates decreasing racism is belied by the fact that Latin...

As of January 2025, about 59 million people lived in Italy. Around 29 million individuals were males and 30 million people were females. The most populated area of the country was the north-west, where 15.9 million people lived. Furthermore, the southern regions counted 13.4 million inhabitants, representing the second most populous area of the country. Regional census The northern region of Lombardy is the most populous region of Italy. One-sixth of all the Italian population is concentrated in this area. Lazio and Campania follow with approximately 5.7 million and 5.6 million individuals, respectively. On the other hand, Aosta Valley, a northern region bordering to France and Switzerland, counted 123,000 inhabitants, representing the smallest region of Italy in terms of residents as well as area. More and more Italians are moving abroad In recent years, the number of Italians reported living abroad increased. In 2022, 5.8 million people lived outside Italy, almost three million more than in 2006. The country hosting the largest Italian population is Argentina, while other large Italian communities reside in Germany, Switzerland, and Brazil.

About this dataset

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.

Content

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Argentine township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Argentine township total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Argentine township Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Argentine township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Argentine township, the median income for all workers aged 15 years and older, regardless of work hours, was $50,625 for males and $34,844 for females.

These income figures highlight a substantial gender-based income gap in Argentine township. Women, regardless of work hours, earn 69 cents for each dollar earned by men. This significant gender pay gap, approximately 31%, underscores concerning gender-based income inequality in the township of Argentine township.

- Full-time workers, aged 15 years and older: In Argentine township, among full-time, year-round workers aged 15 years and older, males earned a median income of $78,750, while females earned $62,415, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Argentine township.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Argentine township median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Argentine township. The dataset can be utilized to gain insights into gender-based income distribution within the Argentine township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Argentine township, among individuals aged 15 years and older with income, there were 2,814 men and 2,627 women in the workforce. Among them, 1,371 men were engaged in full-time, year-round employment, while 1,020 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.20% fell within the income range of under $24,999, while 12.35% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 33.99% of men in full-time roles earned incomes exceeding $100,000, while 20.20% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Argentine township median household income by race. You can refer the same here