The COVID Racial Data Tracker advocated for, collected, published, and analyzed racial data on the COVID-19 pandemic across the United States. It was a collaboration between the COVID Tracking Project and the Boston University Center for Antiracist Research. This project began when Dr. Ibram X. Kendi, director of the BU Center for Antiracist Research, wrote a series of essays in The Atlantic about the urgent need to gather racial and ethnic demographic data to understand the outbreak and protect vulnerable communities. On April 12, 2020, we started collecting race and ethnicity data from every state that reported it. On April 15, we launched that dataset as the first iteration of the COVID Racial Data Tracker. We updated this data twice per week.
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Users can obtain descriptions, maps, profiles, and ranks of U.S. metropolitan areas pertaining to quality of life, diversity, and opportunities for racial and ethnic groups in the U.S. BackgroundThe Diversity Data project operates a website for users to explore how U.S. metropolitan areas perform on evidence-based social measures affecting quality of life, diversity and opportunity for racial and ethnic groups in the United States. These indicators capture a broad definition of quality of life and health, including opportunities for good schools, housing, jobs, wages, health and social services, and safe neighborhoods. This is a useful resource for people inter ested in advocating for policy and social change regarding neighborhood integration, residential mobility, anti-discrimination in housing, urban renewal, school quality and economic opportunities. The Diversity Data project is an ongoing project of the Harvard School of Public Health (Department of Society, Human Development and Health). User FunctionalityUsers can obtain a description, profile and rank of U.S. metropolitan areas and compare ranks across metropolitan areas. Users can also generate maps which demonstrate the distribution of these measures across the United States. Demographic information is available by race/ethnicity. Data NotesData are derived from multiple sources including: the U.S. Census Bureau; National Center for Health Statistics' Vital Statistics Natality Birth Data; Natio nal Center for Education Statistics; Union CPS Utilities Data CD; National Low Income Housing Coalition; Freddie Mac Conventional Mortgage Home Price Index; Neighborhood Change Database; Joint Center for Housing Studies of Harvard University; Federal Financial Institutions Examination Council Home Mortgage Disclosure Act (HMD); Dr. Russ Lopez, Boston University School of Public Health, Department of Environmental Health; HUD State of the Cities Data Systems; Agency for Healthcare Research and Quality; and Texas Transportation Institute. Years in which the data were collected are indicated with the measure. Information is available for metropolitan areas. The website does not indicate when the data are updated.
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This dataset tracks annual two or more races student percentage from 2011 to 2023 for Brighton High School vs. Massachusetts and Boston School District
https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
Background. Safety-net hospitals provide care for racially/ethnically diverse and disadvantaged urban populations. Their hospitalized patients with cirrhosis are relatively understudied and may be vulnerable to poor outcomes and racial/ethnic disparities. Aims. To examine the outcomes of patients with cirrhosis hospitalized at regionally diverse safety-net hospitals and the impact of race/ethnicity. Methods. A study of patients with cirrhosis hospitalized at 4 safety-net hospitals in 2012 was conducted. Demographic, clinical factors, and outcomes were compared between centers and racial/ethnic groups. Study endpoints included mortality and 30-day readmission. Results. In 2012, 733 of 1,212 patients with cirrhosis were hospitalized for liver-related indications (median age 55 years, 65% male). The cohort was racially diverse (43% White, 25% black, 22% Hispanic, 3% Asian) with cirrhosis related to alcohol and viral hepatitis in 635 (87%) patients. Patients were hospitalized mainly for ascites (35%), hepatic encephalopathy (20%) and gastrointestinal bleeding (GIB) (17%). Fifty-four (7%) patients died during hospitalization and 145 (21%) survivors were readmitted within 30 days. Mortality rates ranged from 4 to 15% by center (p=.007 ) and from 3 to 10% by race/ethnicity (p=.03), but 30-day readmission rates were similar. Mortality was associated with Model for End-stage Liver Disease (MELD), acute-on-chronic liver failure, hepatocellular carcinoma, sodium and white blood cell count. Thirty-day readmission was associated with MELD and Charlson Comorbidity Index >4, with lower risk for GIB. We did not observe geographic or racial/ethnic differences in hospital outcomes in the risk-adjusted analysis. Conclusions. Hospital mortality and 30-day readmission in patients with cirrhosis at safety-net hospitals are associated with disease severity and comorbidities, with lower readmissions in patients admitted for GIB. Despite geographic and racial/ethnic differences in hospital mortality, these factors were not independently associated with mortality.
https://www.icpsr.umich.edu/web/ICPSR/studies/2535/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2535/terms
The Multi-City Study of Urban Inequality was designed to broaden the understanding of how changing labor market dynamics, racial attitudes and stereotypes, and racial residential segregation act singly and in concert to foster contemporary urban inequality. This data collection comprises data for two surveys: a survey of households and a survey of employers. Multistage area probability sampling of adult residents took place in four metropolitan areas: Atlanta (April 1992-September 1992), Boston (May 1993-November 1994), Detroit (April-September 1992), and Los Angeles (September 1993-August 1994). The combined four-city data file in Part 1 contains data on survey questions that were asked in households in at least two of the four survey cities. Questions on labor market dynamics included industry, hours worked per week, length of time on job, earnings before taxes, size of employer, benefits provided, instances of harassment and discrimination, and searching for work within particular areas of the metropolis in which the respondent resided. Questions covering racial attitudes and attitudes about inequality centered on the attitudes and beliefs that whites, Blacks, Latinos, and Asians hold about one another, including amount of discrimination, perceptions about wealth and intelligence, ability to be self-supporting, ability to speak English, involvement with drugs and gangs, the fairness of job training and educational assistance policies, and the fairness of hiring and promotion preferences. Residential segregation issues were studied through measures of neighborhood quality and satisfaction, and preferences regarding the racial/ethnic mix of neighborhoods. Other topics included residence and housing, neighborhood characteristics, family income structure, networks and social functioning, and interviewer observations. Demographic information on household respondents was also elicited, including length of residence, education, housing status, monthly rent or mortgage payment, marital status, gender, age, race, household composition, citizenship status, language spoken in the home, ability to read and speak English, political affiliation, and religion. The data in Part 2 represent a telephone survey of current business establishments in Atlanta, Boston, Detroit, and Los Angeles carried out between spring 1992 and spring 1995 to learn about hiring and vacancies, particularly for jobs requiring just a high school education. An employer size-weighted, stratified, probability sample (approximately two-thirds of the cases) was drawn from regional employment directories, and a probability sample (the other third of the cases) was drawn from the current or most recent employer reported by respondents to the household survey in Part 1. Employers were queried about characteristics of their firms, including composition of the firm's labor force, vacant positions, the person most recently hired and his or her salary, hours worked per week, educational qualifications, promotions, the firm's recruiting and hiring methods, and demographic information for the respondent, job applicants, the firm's customers, and the firm's labor force, including age, education, race, and gender.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual two or more races student percentage from 2009 to 2023 for Quincy Elementary School vs. Massachusetts and Boston School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual two or more races student percentage from 2011 to 2023 for Winship Elementary School vs. Massachusetts and Boston School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual two or more races student percentage from 2014 to 2023 for Huron High School vs. Michigan and Huron School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual two or more races student percentage from 2012 to 2018 for Dorchester Academy vs. Massachusetts and Boston School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical Dataset of Huron High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),American Indian Student Percentage Comparison Over Years (1997-2022),Asian Student Percentage Comparison Over Years (1990-2023),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1995-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2014-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2003-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023),Graduation Rate Comparison Over Years (2013-2023)
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The COVID Racial Data Tracker advocated for, collected, published, and analyzed racial data on the COVID-19 pandemic across the United States. It was a collaboration between the COVID Tracking Project and the Boston University Center for Antiracist Research. This project began when Dr. Ibram X. Kendi, director of the BU Center for Antiracist Research, wrote a series of essays in The Atlantic about the urgent need to gather racial and ethnic demographic data to understand the outbreak and protect vulnerable communities. On April 12, 2020, we started collecting race and ethnicity data from every state that reported it. On April 15, we launched that dataset as the first iteration of the COVID Racial Data Tracker. We updated this data twice per week.