In 2022, there were *** cases of assault related to anti-Semitism in the United States. In that year, harassment was the most common form of anti-Semitic incident in the United States, with ***** cases of harassment.

Anti-Black or African American attacks were the most common form of racist hate crime in the United States in 2023, with ***** cases. Anti-White hate crimes were the next most common form of race-based hate crime in that year, with *** incidents.

In 2022, there were ** cases of vandalism related to anti-Semitism on college campuses in the United States. There were two reported assaults related to anti-Semitism on college campuses in that year.

About this dataset

Context

The dataset presents the median household income across different racial categories in Accident. 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 Accident population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 97.37% of the total residents in Accident. Notably, the median household income for White households is $62,491. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $62,491.

https://i.neilsberg.com/ch/accident-md-median-household-income-by-race.jpeg" alt="Accident median household income diversity across racial categories">

Content

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:

• 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 Accident.
• Median household income: Median household income, adjusting for inflation, presented in 2022-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 Accident median household income by race. You can refer the same here

Police-reported hate crime, number of incidents and rate per 100,000 population, Census Metropolitan Areas and Canadian Forces Military Police, 2014 to 2024.

Police-reported hate crime, by type of motivation (race or ethnicity, religion, sexual orientation, language, disability, sex, age), selected regions and Canada (selected police services), 2014 to 2024.

About this dataset

Context

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

Key observations

The percent distribution of Accident population by race (across all racial categories recognized by the U.S. Census Bureau): 97.19% are white, 0.26% are Black or African American, 0.26% are American Indian and Alaska Native, 0.26% are Asian and 2.05% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Accident
• Population: The population of the racial category (excluding ethnicity) in the Accident is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Accident 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 Accident Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Accident median household income by race. The dataset can be utilized to understand the racial distribution of Accident income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Accident, MD median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Accident, MD (2021, in 2022 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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Accident median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Accident by race. It includes the distribution of the Non-Hispanic population of Accident across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Accident across relevant racial categories.

Key observations

Of the Non-Hispanic population in Accident, the largest racial group is White alone with a population of 366 (97.34% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Accident
• Population: The population of the racial category (for Non-Hispanic) in the Accident is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Accident 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 Accident Population by Race & Ethnicity. You can refer the same here

In 2022, more than half of the identified hate crimes were motivated by xenophobia and racism, ** percent of these were Afrophobic. Out of the hate crimes, ** percent were directed towards different religious groups, with Islamophobia representing ***** percent of these incidents. Hate crimes against LGBTQIA+ individuals accounted for ** percent of the reported incidents.

Hate crimes continue to be a significant issue in Spain, with racism and xenophobia accounting for the majority of reported incidents in 2023. Out of 2,150 total hate crimes reported that year, *** cases were attributed to racism or xenophobia, representing over ** percent of all incidents. This was followed by crimes related to sexual orientation or identity, which accounted for *** cases, or ** percent of the total. Trends in hate crime reporting While racism and xenophobia remain the most prevalent motivators for hate crimes in Spain, the number of reported cases has fluctuated in recent years. Between 2017 and 2022, reported cases of racism nearly doubled, from *** to ***. However, 2023 saw a decrease to *** cases. Similarly, religion-related hate crimes peaked in 2017 with *** cases, dropping to ** in 2023. Addressing hate crimes Spanish authorities have shown varying degrees of success in solving hate crimes. In 2023, ***** percent of all reported hate crimes were solved. Notably, 100 percent of cases involving generational discrimination were resolved, while ** percent of religion-related crimes were solved. Despite these efforts, discrimination remains a widespread concern, particularly among young people. A 2023 survey revealed that the majority of young Spaniards had experienced discrimination at least once in their lives, with physical appearance and age being the most common reasons cited.

The religious landscape of the United States has changed dramatically in the past few decades as the country has become more demographically diverse, more Americans than ever have disaffiliated with organized religion, and religious leaders have faced a cultural milieu increasingly polarized along racial and political lines. Churches are also transitioning back to in-person services following the COVID-19 pandemic and dealing with ongoing ripple effects from other major events, including national protests for racial justice, a divisive 2020 presidential election that resulted in a deadly insurrection at the U.S. Capitol, and renewed state legislative battles over reproductive and LGBTQ rights.

The PRRI Health of Congregations survey examines the religious behaviors of Americans amid this uncertain cultural and political landscape. In addition to highlighting religious affiliation trends, it considers the importance of religion to Americans while looking at how often they attend church and engage in religious activities like prayer. It also studies trends in religious 'switching' - leaving one religion for another - and considers the reasons Americans do so.

The Health of Congregations Survey analyzes the political context that congregations face today. It asks regular churchgoers how often they discuss political and cultural issues in their churches, how well their churches address those issues, and the extent to which partisan divides are apparent in their congregations.

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 Accident. 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 2011 and 2021, 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 Accident, the median household income for the households where the householder is White increased by $7,464(13.56%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $55,027 in 2011 and $62,491 in 2021.
• 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 2011 and 2021.
• 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

https://i.neilsberg.com/ch/accident-md-median-household-income-by-race-trends.jpeg" alt="Accident, MD median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

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:

• 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 Accident.
• 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
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-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 Accident median household income by race. You can refer the same here

STOP Incident Details is an overview of STOP Incidents from 7/1/2018 to Present, which can include 1 or more persons per incident. This dataset contains data fields mandated by AB 953, The Racial and Identity Profiling Act (RIPA) and other data fields that are collected during a STOP. A "STOP" is any detention by a peace officer of a person or any peace officer interaction with a person. Click below for more info on AB 953: The Racial and Identity Profiling Act- https://oag.ca.gov/ab953#:~:text=AB%20953%20mandates%20the%20creation%20of%20the%20Racial,and%20racial%20and%20identity%20sensitivity%20in%20law%20enforcement.

In 2022, there were *** incidents related to anti-Semitism in the state of New York, the most out of any state. California, New Jersey, Florida, and Texas rounded out the top five states for anti-Semitic incidents in that year.

A. SUMMARY This dataset includes unintentional drug overdose death rates by race/ethnicity by year. This dataset is created using data from the California Electronic Death Registration System (CA-EDRS) via the Vital Records Business Intelligence System (VRBIS). Substance-related deaths are identified by reviewing the cause of death. Deaths caused by opioids, methamphetamine, and cocaine are included. Homicides and suicides are excluded. Ethnic and racial groups with fewer than 10 events are not tallied separately for privacy reasons but are included in the “all races” total.

Unintentional drug overdose death rates are calculated by dividing the total number of overdose deaths by race/ethnicity by the total population size for that demographic group and year and then multiplying by 100,000. The total population size is based on estimates from the US Census Bureau County Population Characteristics for San Francisco, 2022 Vintage by age, sex, race, and Hispanic origin.

These data differ from the data shared in the Preliminary Unintentional Drug Overdose Death by Year dataset since this dataset uses finalized counts of overdose deaths associated with cocaine, methamphetamine, and opioids only.

B. HOW THE DATASET IS CREATED This dataset is created by copying data from the Annual Substance Use Trends in San Francisco report from the San Francisco Department of Public Health Center on Substance Use and Health.

C. UPDATE PROCESS This dataset will be updated annually, typically at the end of the year.

D. HOW TO USE THIS DATASET N/A

E. RELATED DATASETS Overdose-Related 911 Responses by Emergency Medical Services Preliminary Unintentional Drug Overdose Deaths San Francisco Department of Public Health Substance Use Services

F. CHANGE LOG

• 12/16/2024 - Updated with 2023 data. Asian/Pacific Islander race/ethnicity group was changed to Asian.
• 12/16/2024 - Past year totals by race/ethnicity were revised after obtaining accurate race/ethnicity for some decedents that were previously marked as “unknown” race/ethnicity.

In the 2023/24 reporting year there were 140,561 hate crime incidents reported by the police in England and Wales compared with 147,645 in the previous year.

In 2023, there were ***** anti-Semitic incidents recorded in the United States. This is a significant increase from the previous year, when there were about ***** anti-Semitic incidents recorded across the country. This rise in anti-Semitic incidents can largely be attributed to the recent Israeli-Palestinian conflict.

In Portugal, the number of complaints of discrimination presented to the Commission for Equality and Against Racial Discrimination (CICDR) increased over the years. In 2014, ** complaints were presented, while, in 2020, a peak was recorded, at ***, due to sensitive media events. By 2022, the second highest number of complaints was registered, at ***, which corresponded to a ** percent decrease compared to 2020.

There were 48 religious hate crimes reported by the police in Northern Ireland in 2022/23, compared with 33 in the previous reporting year.