This dataset was created by GIACOMO CAPITANI
Vision-based cognitive services (CogS) have become crucial in a wide range of applications, from real-time security and social networks to smartphone applications. Many services focus on analyzing people images. When it comes to facial analysis, these services can be misleading or even inaccurate, raising ethical concerns such as the amplification of social stereotypes. We analyzed popular Image Tagging CogS that infer emotion from a person’s face, considering whether they perpetuate racial and gender stereotypes concerning emotion. By comparing both CogS and Human-generated descriptions on a set of controlled images, we highlight the need for transparency and fairness in CogS. In particular, we document evidence that CogS may actually be more likely than crowdworkers to perpetuate the stereotype of the “angry black man" and often attribute black race individuals with “emotions of hostility". This dataset consists of the raw data collected for this work, both from Emotion Analysis Services (EAS) and Crowdsourcing (Crowdworkers from the Appen (formerly known as FigureEight) Platform targeting US and India participants. We’ve used the Chicago Face Database (CFD) as our primary dataset for testing the behavior of the target EAS.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 New Chicago. 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 New Chicago, the median income for all workers aged 15 years and older, regardless of work hours, was $36,250 for males and $26,793 for females.
These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 26% between the median incomes of males and females in New Chicago. With women, regardless of work hours, earning 74 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of New Chicago.
- Full-time workers, aged 15 years and older: In New Chicago, among full-time, year-round workers aged 15 years and older, males earned a median income of $58,333, while females earned $36,216, leading to a 38% gender pay gap among full-time workers. This illustrates that women earn 62 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.Remarkably, across all roles, including non-full-time employment, women displayed a lower gender pay gap percentage. This indicates that New Chicago offers better opportunities for women in non-full-time positions.
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:
Employment type classifications 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 New Chicago median household income by race. You can refer the same here
https://www.icpsr.umich.edu/web/ICPSR/studies/37970/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37970/terms
The 2017 Chicago Council Survey continues the Chicago Council on Global Affairs' series of investigations into American public opinion on United States foreign policy. These studies were conducted quadrennially from 1974 to 2002, biennially from 2002 to 2014, and are now conducted annually. They are designed to investigate the opinions and attitudes of the general public on matters related to foreign policy, and to define the parameters of public opinion within which decision-makers must operate. This public opinion study of the United States focused on respondents' opinions of the United States' leadership role in the world and the challenges the country faces domestically and internationally. Data were collected on a wide range of international topics, including: United States' relations with other countries, role in foreign affairs, possible threats to vital interests in the next ten years, foreign policy goals, international trade, the United States' participation in potential treaties, the United States' commitment to NATO, the basing of American troops abroad, policy towards the conflict in Syria, and the United States' relations with other countries. Respondents were also asked their opinion on US institutions, the US president, and federal government programs. Demographic information collected includes age, gender, race/ethnicity, marital status, left-right political self-placement, political affiliation, employment status, highest level of education, religious preference, household income, state of residence, and living quarters ownership status.
https://www.icpsr.umich.edu/web/ICPSR/studies/36437/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36437/terms
The Chicago Council Surveys are part of a long-running series of public opinion surveys conducted by The Chicago Council on Global Affairs beginning in 1974. They were conducted quadrennially from 1974 to 2002, biennially from 2002 to 2014, and are now conducted annually. The surveys are designed to investigate the opinions and attitudes of the general public on matters related to foreign policy, and to define the parameters of public opinion within which decision-makers must operate. This public opinion study of the United States focused on respondents' opinions of the United States' leadership role in the world and the challenges the country faces domestically and internationally. Data were collected on a wide range of international topics, including: United States' relations with other countries, role in foreign affairs, possible threats to vital interests in the next ten years, foreign policy goals, situations that might justify the use of United States troops in other parts of the world, international trade, United States' participation in potential treaties, U.S. policy towards Russia in Ukraine, the embargo on Cuba and the effects of renewed diplomatic relations with Havana, views of the nuclear deal with Iran and what effects that deal is likely to have, and United States' relations with allies in Asia. Respondents were also asked their opinion on domestic issues including climate change, measures to improve the United States' economic competitiveness, and their views on US immigration policy. Demographic information collected includes age, gender, race/ethnicity, marital status, left-right political self-placement, political affiliation, employment status, highest level of education, and religious preference, household income, state of residence, and living quarters ownership status.
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This dataset was created by GIACOMO CAPITANI