About this dataset

Context

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

Key observations

The percent distribution of Harvard town population by race (across all racial categories recognized by the U.S. Census Bureau): 80.99% are white, 6.10% are Black or African American, 0.36% are American Indian and Alaska Native, 5.17% are Asian and 7.37% 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 Harvard town
• Population: The population of the racial category (excluding ethnicity) in the Harvard town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Harvard town 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 Harvard town Population by Race & Ethnicity. You can refer the same here

This dataset tracks annual asian student percentage from 1990 to 2010 for Central Elementary School vs. Illinois and Harvard Community Unit School District 50

This dataset tracks annual asian student percentage from 1991 to 2023 for Harvard School District vs. Massachusetts

This dataset tracks annual asian student percentage from 1989 to 2004 for Harvard High School vs. Nebraska and Harvard School District

By sequencing 727 ancient individuals from the Southern Arc (Anatolia and its neighbors in Southeastern Europe and West Asia) over 10,000 years, we contextualize its Chalcolithic period and Bronze Age (about 5000 to 1000 BCE), when extensive gene flow entangled it with the Eurasian steppe. Two streams of migration transmitted Caucasus and Anatolian/Levantine ancestry northward, and the Yamnaya pastoralists, formed on the steppe, then spread southward into the Balkans and across the Caucasus into Armenia, where they left numerous patrilineal descendants. Anatolia was transformed by intra–West Asian gene flow, with negligible impact of the later Yamnaya migrations. This contrasts with all other regions where Indo-European languages were spoken, suggesting that the homeland of the Indo-Anatolian language family was in West Asia, with only secondary dispersals of non-Anatolian Indo-Europeans from the steppe.

The 2018 edition of Woods and Poole Complete U.S. Database provides annual historical data from 1970 (some variables begin in 1990) and annual projections to 2050 of population by race, sex, and age, employment by industry, earnings of employees by industry, personal income by source, households by income bracket and retail sales by kind of business. The Complete U.S. Database contains annual data for all economic and demographic variables for all geographic areas in the Woods & Poole database (the U.S. total, and all regions, states, counties, and CBSAs). The Complete U.S. Database has following components: Demographic & Economic Desktop Data Files: There are 122 files covering demographic and economic data. The first 31 files (WP001.csv – WP031.csv) cover demographic data. The remaining files (WP032.csv – WP122.csv) cover economic data. Demographic DDFs: Provide population data for the U.S., regions, states, Combined Statistical Areas (CSAs), Metropolitan Statistical Areas (MSAs), Micropolitan Statistical Areas (MICROs), Metropolitan Divisions (MDIVs), and counties. Each variable is in a separate .csv file. Variables: Total Population Population Age (breakdown: 0-4, 5-9, 10-15 etc. all the way to 85 & over) Median Age of Population White Population Population Native American Population Asian & Pacific Islander Population Hispanic Population, any Race Total Population Age (breakdown: 0-17, 15-17, 18-24, 65 & over) Male Population Female Population Economic DDFs: The other files (WP032.csv – WP122.csv) provide employment and income data on: Total Employment (by industry) Total Earnings of Employees (by industry) Total Personal Income (by source) Household income (by brackets) Total Retail & Food Services Sales ( by industry) Net Earnings Gross Regional Product Retail Sales per Household Economic & Demographic Flat File: A single file for total number of people by single year of age (from 0 to 85 and over), race, and gender. It covers all U.S., regions, states, CSAs, MSAs and counties. Years of coverage: 1990 - 2050 Single Year of Age by Race and Gender: Separate files for number of people by single year of age (from 0 years to 85 years and over), race (White, Black, Native American, Asian American & Pacific Islander and Hispanic) and gender. Years of coverage: 1990 through 2050. DATA AVAILABLE FOR 1970-2019; FORECASTS THROUGH 2050

This dataset tracks annual asian student percentage from 2007 to 2023 for P.s. 34 John Harvard vs. New York and New York City Geographic District #29 School District

This dataset tracks annual asian student percentage from 2006 to 2022 for Harvard Elementary School vs. California and Los Angeles Unified School District

This dataset tracks annual asian student percentage from 1991 to 2023 for Harvard Elementary School vs. Washington and Franklin Pierce School District

The Relation between Perceived Racial Discrimination and Civic Engagement among People of Asian Descent

The COVID-19 pandemic and consequent social and economic impacts have instilled a sense of fear and anxiety around the globe, potentially leading to short- and long-term psychosocial and mental health implications for the broader population. Although the threat of the virus and pandemic effects are real for all Americans, Asian Americans bear the additional burden of elevated anti-Asian sentiments and attacks. Such experiences of racial discrimination may act as a chronic social stressor that exacerbates adverse mental health among Asian Americans. Asian American adolescents and youth may be especially vulnerable to mental health consequences due to their exposure to multiple stressors associated with the COVID-19 pandemic, such as increased social isolation, family financial strain, and increased social media use, as well as fear for their own safety as they become direct targets of anti-Asian hate crimes. Out of the 2,499 self-reported hate incidents to Stop AAPI Hate in the first 18 weeks of the pandemic, 16% of cases involved youth. Within these reports, 81% of youth described experiencing some kind of bullying or verbal harassment from their peers, 24% experienced social rejection, and 8% were physically assaulted. While studies have shown that sharing experiences of discrimination with others and receiving emotional support from peers can be effective coping strategies, Asian Americans adolescents and youth may currently lack opportunities to seek and benefit from social support due to the isolating nature of the pandemic and enduring mental health stigma within the Asian American community. This study is designed to: 1. Understand the mental well-being of Asian American adolescents and youth (aged 15–24 years) given the increase in anti-Asian racism and violence in the United States. 2. Determine the relationship between the state of Asian American adolescents and youth mental health and exposures to anti-Asian violent incident(s) (e.g., vandalism, physical and verbal attacks) or online content and reports of anti-Asian violence (e.g. news, videos, etc.) 3. Understand the present coping mechanisms utilized by Asian American adolescents and youth under the current climate. We hypothesize that Asian American adolescents and youth are experiencing increased levels of mental illness symptoms correlated with the surge in anti-Asian hate crimes and violence over the past year. The overall goal is to illuminate how the swelling of anti-Asian violence is affecting the next generation of Asian Americans. We believe our results could be useful to arm policymakers, health professionals, and the Asian American community with the right data and evidence so that they can design culturally- and age-appropriate policies and interventions to support adolescents and youth during this crisis.

Gridded, spatial datasets for Asia providing population estimates per ~1km for males and females, for each 5-year age bracket from age 0 to over 65. Age group proportions are based on subnational demographic data. Population counts when totaled nationally are adjusted to match UN population division estimates, 2015 revision (http://esa.un.org/wpp/).

Purpose: This study aimed to assess the clinical outcomes of prostatic urethral lift in Korean patients with bothersome lower urinary tract symptoms due to benign prostatic hyperplasia (BPH). Materials and Methods: Thirty-two men with symptomatic BPH were consecutively treated in a tertiary care center in Korea. To be included in the present analysis, patients had to meet the following criteria: age ≥50 years, International Prostatic Symptom Score (IPSS) >12, and prostate volume between 30 mL and 80 mL. Patients were evaluated up to a median followup period of 1 year post-procedure. The primary outcomes included symptom relief, improvement of quality of life (QOL), and preservation of sexual function. Results: All procedures were finished with a mean of 2.2 implants without any serious complication. The numbers of patients diagnosed with diabetes mellitus, hypertension, and ischemic heart disease were 16 (50.0%), 24 (75.0%), and 9 (28.1%), respectively. Patients experienced symptom relief by 1 week that was sustained for 12 months. The mean IPSS, QOL, and maximum flow rate improved to 43%, 70%, and 25% by 1 week, and to 41%, 60%, and 32% by 12 months (p<0.001), respectively. There were no occurrences of early urge incontinence, retrograde ejaculation, or erectile dysfunction. Patient-reported adverse events were mild and transient. Conclusions: Prostatic urethral lift is a safe and effective treatment for BPH in the Asian population. This treatment is minimally invasive, can be performed under local anesthesia, and may be an appropriate method for fragile patients.

This dataset tracks annual asian student percentage from 1993 to 2011 for Delmar Harvard Elementary School vs. Missouri and University City School District

This dataset tracks annual asian student percentage from 1999 to 2016 for Harvard Park Elementary School vs. Illinois and Springfield SD 186 School District

This dataset tracks annual asian student percentage from 1993 to 2023 for Harvard Elementary School vs. Ohio and Toledo City School District

By generating genome-wide data for 181 ancient individuals throughout the North Eurasian forest and forest-steppe zones, we show the Early to Mid-Holocene hunter-gatherers harbored a continuous gradient of ancestry from fully European-related in the Baltic to fully East Asian- related in the Transbaikal. Contemporaneous groups in Northeast Siberia were off-gradient, and descended from a population that was the primary source for Native Americans, which then mixed with populations of Inland East Asia and the Amur River Basin to produce two populations whose expansion coincided with the collapse of pre-Bronze Age population structure. Ancestry from the first, Cis-Baikal Late Neolithic–Bronze Age (Cisbaikal_LNBA), is associated with Yeniseian- speaking groups and those that admixed with them, and ancestry from the second, Yakutia Late Neolithic–Bronze Age (Yakutia_LNBA), is associated with migrations of prehistoric Uralic speakers. We show that Yakutia_LNBA first dispersed westwards from the Lena River Basin around 4000 years ago into the Altai-Sayan region and into West Siberian communities associated with Seima-Turbino metallurgy—a suite of advanced bronze casting techniques that expanded explosively from the Altai. The 16 Seima-Turbino-period individuals were diverse in their ancestry, also harboring DNA from Indo-Iranian-associated pastoralists and from a range of hunter-gatherer groups. Thus, both cultural transmission and migration were key to the Seima-Turbino phenomenon, which was involved in the initial spread of early Uralic-speaking communities.

Economic, demographic and corruption data (info from research about Latin America and Asian countries)

This dataset tracks annual asian student percentage from 1991 to 2023 for Bromfield vs. Massachusetts and Harvard School District

This dataset tracks annual asian student percentage from 2003 to 2023 for Harvard Elementary School vs. Texas and Houston Independent School District