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BackgroundOur current understanding of Asian American mortality patterns has been distorted by the historical aggregation of diverse Asian subgroups on death certificates, masking important differences in the leading causes of death across subgroups. In this analysis, we aim to fill an important knowledge gap in Asian American health by reporting leading causes of mortality by disaggregated Asian American subgroups.Methods and FindingsWe examined national mortality records for the six largest Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese) and non-Hispanic Whites (NHWs) from 2003-2011, and ranked the leading causes of death. We calculated all-cause and cause-specific age-adjusted rates, temporal trends with annual percent changes, and rate ratios by race/ethnicity and sex. Rankings revealed that as an aggregated group, cancer was the leading cause of death for Asian Americans. When disaggregated, there was notable heterogeneity. Among women, cancer was the leading cause of death for every group except Asian Indians. In men, cancer was the leading cause of death among Chinese, Korean, and Vietnamese men, while heart disease was the leading cause of death among Asian Indians, Filipino and Japanese men. The proportion of death due to heart disease for Asian Indian males was nearly double that of cancer (31% vs. 18%). Temporal trends showed increased mortality of cancer and diabetes in Asian Indians and Vietnamese; increased stroke mortality in Asian Indians; increased suicide mortality in Koreans; and increased mortality from Alzheimer’s disease for all racial/ethnic groups from 2003-2011. All-cause rate ratios revealed that overall mortality is lower in Asian Americans compared to NHWs.ConclusionsOur findings show heterogeneity in the leading causes of death among Asian American subgroups. Additional research should focus on culturally competent and cost-effective approaches to prevent and treat specific diseases among these growing diverse populations.
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This list ranks the 3 cities in the East Feliciana Parish, LA by Indian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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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.
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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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The dataset tabulates the population of Los Altos by race. It includes the population of Los Altos across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Los Altos across relevant racial categories.
Key observations
The percent distribution of Los Altos population by race (across all racial categories recognized by the U.S. Census Bureau): 51.77% are white, 0.97% are Black or African American, 0.07% are American Indian and Alaska Native, 37.51% are Asian, 1.94% are some other race and 7.74% are multiracial.
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 Los Altos Population by Race & Ethnicity. You can refer the same here
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in East Carroll Parish, LA (B03002015E022035) from 2009 to 2023 about East Carroll Parish, LA; American Indian; AK; LA; latino; hispanic; estimate; 5-year; persons; population; and USA.
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The following data set is information obtained about counties in the United States from 2010 through 2019 through the United States Census Bureau. Information described in the data includes the age distributions, the education levels, employment statistics, ethnicity percents, houseold information, income, and other miscellneous statistics. (Values are denoted as -1, if the data is not available)
| Key | List of... | Comment | Example Value |
|---|---|---|---|
| County | String | County name | "Abbeville County" |
| State | String | State name | "SC" |
| Age.Percent 65 and Older | Float | Estimated percentage of population whose ages are equal or greater than 65 years old are produced for the United States states and counties as well as for the Commonwealth of Puerto Rico and its municipios (county-equivalents for Puerto Rico). | 22.4 |
| Age.Percent Under 18 Years | Float | Estimated percentage of population whose ages are under 18 years old are produced for the United States states and counties as well as for the Commonwealth of Puerto Rico and its municipios (county-equivalents for Puerto Rico). | 19.8 |
| Age.Percent Under 5 Years | Float | Estimated percentage of population whose ages are under 5 years old are produced for the United States states and counties as well as for the Commonwealth of Puerto Rico and its municipios (county-equivalents for Puerto Rico). | 4.7 |
| Education.Bachelor's Degree or Higher | Float | Percentage for the people who attended college but did not receive a degree and people who received an associate's bachelor's master's or professional or doctorate degree. These data include only persons 25 years old and over. The percentages are obtained by dividing the counts of graduates by the total number of persons 25 years old and over. Tha data is collected from 2015 to 2019. | 15.6 |
| Education.High School or Higher | Float | Percentage of people whose highest degree was a high school diploma or its equivalent people who attended college but did not receive a degree and people who received an associate's bachelor's master's or professional or doctorate degree. These data include only persons 25 years old and over. The percentages are obtained by dividing the counts of graduates by the total number of persons 25 years old and over. Tha data is collected from 2015 to 2019 | 81.7 |
| Employment.Nonemployer Establishments | Integer | An establishment is a single physical location at which business is conducted or where services or industrial operations are performed. It is not necessarily identical with a company or enterprise which may consist of one establishment or more. The data was collected from 2018. | 1416 |
| Ethnicities.American Indian and Alaska Native Alone | Float | Estimated percentage of population having origins in any of the original peoples of North and South America (including Central America) and who maintains tribal affiliation or community attachment. This category includes people who indicate their race as "American Indian or Alaska Native" or report entries such as Navajo Blackfeet Inupiat Yup'ik or Central American Indian groups or South American Indian groups. | 0.3 |
| Ethnicities.Asian Alone | Float | Estimated percentage of population having origins in any of the original peoples of the Far East Southeast Asia or the Indian subcontinent including for example Cambodia China India Japan Korea Malaysia Pakistan the Philippine Islands Thailand and Vietnam. This includes people who reported detailed Asian responses such as: "Asian Indian " "Chinese " "Filipino " "Korean " "Japanese " "Vietnamese " and "Other Asian" or provide other detailed Asian responses. | 0.4 |
| Ethnicities.Black Alone | Float | Estimated percentage of population having origins in any of the Black racial groups of Africa. It includes people who indicate their race as "Black or African American " or report entries such as African American Kenyan Nigerian or Haitian. | 27.6 |
| Ethnicities.Hispanic or Latino | Float |
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The dataset tabulates the population of New York by race. It includes the population of New York across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of New York across relevant racial categories.
Key observations
The percent distribution of New York population by race (across all racial categories recognized by the U.S. Census Bureau): 60.73% are white, 15.21% are Black or African American, 0.42% are American Indian and Alaska Native, 8.65% are Asian, 0.05% are Native Hawaiian and other Pacific Islander, 8.99% are some other race and 5.97% are multiracial.
https://i.neilsberg.com/ch/new-york-population-by-race.jpeg" alt="New York population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 New York Population by Race & Ethnicity. You can refer the same here
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This dataset tracks annual american indian student percentage from 2007 to 2023 for Yellow Medicine East Secondary vs. Minnesota and Yellow Medicine East School District
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TwitterThe Community Health Resources and Needs Assessment (CHRNA) project is a large-scale health needs assessment in diverse, low-income Asian American communities in New York City. The project uses a community-engaged and community venue-based approach to assess existing health issues, available resources, and best approaches to meet community health needs. Questions asked in the CHRNAs assess various determinants of health, including length of residence in the United States, English language proficiency, educational attainment, employment and income, perceived health, health insurance and access to care, nutrition and physical activity, mental health, screening for cancer and other chronic diseases, sleep deprivation, and connections to social and religious environments.
The second round of CHRNAs, conducted in 2013-2016, examined population changes, population health improvements, and changes in risk and protective factors in the last decade. Approximately 100 individuals were surveyed from each of the following Asian subgroups: Arab, Asian Indian, Bangladeshi, Cambodian, Chinese, Filipino, Himalayan, Indo-Caribbean, Japanese, Korean, Pakistani, Ski Lankan, and Vietnamese (n=1,803).
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Striking racial/ethnic disparities exist in pregnancy outcomes among various racial/ethnic To determine the incidence and risk factors associated with stillbirth in Asian-American women. We conducted this retrospective cohort study using the United States Birth and Fetal Death data files 2014–2017. We used the fetuses‐at‐risk approach to generate stillbirth trends by gestational age among Non-Hispanic (NH)-White and Asian-American births during the study period. We calculated the adjusted risk of stillbirth for Asian-Americans, overall, and for each Asian-American subgroup: Asian Indians, Koreans, Chinese, Vietnamese, Japanese and Filipinos, with NH-Whites as the referent category. Of the 715,297 births that occurred among Asian-Americans during the study period, stillbirth incidence rate was 3.86 per 1000 births. From the gestational age of 20 weeks through 41 weeks, the stillbirth rates were consistently lower among Asian-Americans compared to NH-Whites. Stillbirth incidence ranged from a low rate of 2.6 per 1000 births in Koreans to as high as 5.3 per 1000 births in Filipinos. After adjusting for potentially confounding characteristics, Asian-Americans were about half as likely to experience stillbirth compared to NH-White mothers [adjusted hazards ratio (AHR) = 0.57, 95% confidence interval (CI) = 0.51–0.64]. This intrauterine survival advantage was evident in all Asian-American subgroups. The risk of stillbirth is twofold lower in Asian-Americans than in NH-Whites. It will be an important research agenda to determine reasons for the improved intrauterine survival among Asian-Americans in order to uncover clues for reducing the burden of stillbirth among other racial/ethnic minority women in the United States.
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In an increasingly diverse United States (US) population, racial disparities in preterm birth outcomes continue to widen. In this study, we examined temporal trends and risk of preterm birth among Asian American women over a quarter century (1992–2018). This is a retrospective cohort study using the 1992–2018 Natality data files. We conducted joinpoint regression analyses to examine trends in preterm birth among Asian Americans and non-Hispanic (NH) Whites. Bivariate and multivariable analyses were used to identify risk factors associated with preterm birth among Asian Americans and their ethnic sub-groups as compared to NH-Whites. There were a total of 251,278 preterm births among Asian American women, corresponding to a rate of 10.0%, which was relatively stable over time. The incidence of extremely, very and moderate-to-late preterm birth among Asian Americans was 0.4%, 0.9% and 8.7% respectively. Overall, Asian American women exhibited lower adjusted odds (OR = 0.92; 95% CI: 0.88–0.97) of preterm birth than their NH-White counterparts. Comparing Asian American subgroups to NH-Whites, Filipinas and Vietnamese mothers had increased adjusted odds, whereas Chinese, Korean, Japanese and Asian Indian women showed decreased adjusted odds for preterm birth. The risk of preterm birth varied among the ethnic subgroups of Asian Americans in the United States. Future studies should explore the socio-cultural and environmental nuances that might explain these differences.
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The dataset tabulates the population of Ontario by race. It includes the population of Ontario across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Ontario across relevant racial categories.
Key observations
The percent distribution of Ontario population by race (across all racial categories recognized by the U.S. Census Bureau): 69.39% are white, 0.67% are Black or African American, 3.18% are American Indian and Alaska Native, 2.19% are Asian, 6.40% are some other race and 18.17% are multiracial.
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 Ontario Population by Race & Ethnicity. You can refer the same here
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This dataset tracks annual american indian student percentage from 2019 to 2022 for East Side Elementary School vs. Wyoming and Washakie County School District #1
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The dataset tabulates the population of Celina by race. It includes the population of Celina across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Celina across relevant racial categories.
Key observations
The percent distribution of Celina population by race (across all racial categories recognized by the U.S. Census Bureau): 86.87% are white, 4.04% are Black or African American, 3.59% are Asian and 5.50% are multiracial.
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 Celina Population by Race & Ethnicity. You can refer the same here
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The dataset tabulates the population of Ingham County by race. It includes the population of Ingham County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Ingham County across relevant racial categories.
Key observations
The percent distribution of Ingham County population by race (across all racial categories recognized by the U.S. Census Bureau): 70.38% are white, 11.80% are Black or African American, 0.44% are American Indian and Alaska Native, 6.27% are Asian, 0.02% are Native Hawaiian and other Pacific Islander, 2.04% are some other race and 9.06% are multiracial.
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 Ingham County Population by Race & Ethnicity. You can refer the same here
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This layer contains information on technology access by Household. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer represents the underlying data for several data visualizations on the Tempe Equity Map.Data visualized as a percent of total population in households in given census tract.Values shown of -999 represent no data for those cells.Layer includes:Key demographicsTotal Population in Households % Broadband Internet Subscription: American Indian and Alaska Native alone% Broadband Internet Subscription: Asian Alone% Broadband Internet Subscription: Black or African American alone% Broadband Internet Subscription: Native Hawaiian and Other Pacific Islander alone% Broadband Internet Subscription: White Alone% Broadband Internet Subscription: Hispanic or Latino origin% Without an internet Subscription: American Indian and Alaska Native alone% Without an internet Subscription: Asian alone% Without an internet Subscription: Native Hawaiian and Other Pacific Islander alone% Without an internet Subscription: Black or African American Alone% Without an internet Subscription: White Alone% Without an internet Subscription: Hispanic or Latino origin% No computer in household: American Indian and Alaska native alone% No computer in household: Asian alone% No computer in household: Black or African American alone% No computer in household: Native Hawaiian or Pacific Islander% No computer in household: White Alone% No computer in household: Hispanic or Latino origin Current Vintage: 2017-2021ACS Table(s): S2802 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of Census update: Dec 8, 2022Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryNational Figures: data.census.gov
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Selected US averages informing assumed differences in thriving, suffering, and life expectancy by race/ethnicity: Black; Hispanic; Asian; White; American Indian, Alaska Native.
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The dataset tabulates the population of Indian Head Park by race. It includes the population of Indian Head Park across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Indian Head Park across relevant racial categories.
Key observations
The percent distribution of Indian Head Park population by race (across all racial categories recognized by the U.S. Census Bureau): 91.67% are white, 0.94% are Black or African American, 1.85% are American Indian and Alaska Native, 1.31% are Asian, 3.03% are some other race and 1.21% are multiracial.
https://i.neilsberg.com/ch/indian-head-park-il-population-by-race.jpeg" alt="Indian Head Park population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Indian Head Park Population by Race & Ethnicity. You can refer the same here
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This dataset tracks annual american indian student percentage from 1994 to 2022 for East Valley Institute Of Technology (4516) School District vs. Arizona
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The dataset tabulates the population of Indian Lake town by race. It includes the population of Indian Lake town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Indian Lake town across relevant racial categories.
Key observations
The percent distribution of Indian Lake town population by race (across all racial categories recognized by the U.S. Census Bureau): 91.19% are white, 0.08% are Black or African American, 0.08% are Asian, 2.12% are some other race and 6.53% are multiracial.
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 Indian Lake town Population by Race & Ethnicity. You can refer the same here
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TwitterThis dataset includes the race of eligible individuals who selected and enrolled in a Covered California Qualified Health Plan (QHP) and identified their race as American Indian and/or Alaska Native, Asian Indian, Black or African American, Chinese, Filipino, Guamanian or Chamorro, Japanese, Korean, Mixed Race, Native Hawaiian, Other, Other Asian, Other Pacific Islander, Samoan, Vietnamese, or White, by reporting period. Covered California reported data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes those who selected and enrolled in a QHP, and paid their first premium. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.
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BackgroundOur current understanding of Asian American mortality patterns has been distorted by the historical aggregation of diverse Asian subgroups on death certificates, masking important differences in the leading causes of death across subgroups. In this analysis, we aim to fill an important knowledge gap in Asian American health by reporting leading causes of mortality by disaggregated Asian American subgroups.Methods and FindingsWe examined national mortality records for the six largest Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese) and non-Hispanic Whites (NHWs) from 2003-2011, and ranked the leading causes of death. We calculated all-cause and cause-specific age-adjusted rates, temporal trends with annual percent changes, and rate ratios by race/ethnicity and sex. Rankings revealed that as an aggregated group, cancer was the leading cause of death for Asian Americans. When disaggregated, there was notable heterogeneity. Among women, cancer was the leading cause of death for every group except Asian Indians. In men, cancer was the leading cause of death among Chinese, Korean, and Vietnamese men, while heart disease was the leading cause of death among Asian Indians, Filipino and Japanese men. The proportion of death due to heart disease for Asian Indian males was nearly double that of cancer (31% vs. 18%). Temporal trends showed increased mortality of cancer and diabetes in Asian Indians and Vietnamese; increased stroke mortality in Asian Indians; increased suicide mortality in Koreans; and increased mortality from Alzheimer’s disease for all racial/ethnic groups from 2003-2011. All-cause rate ratios revealed that overall mortality is lower in Asian Americans compared to NHWs.ConclusionsOur findings show heterogeneity in the leading causes of death among Asian American subgroups. Additional research should focus on culturally competent and cost-effective approaches to prevent and treat specific diseases among these growing diverse populations.