About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Phoenix, the largest racial group is White alone with a population of 3,360 (88.44% of the total Non-Hispanic population).

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 (for Non-Hispanic) for the Phoenix
• Population: The population of the racial category (for Non-Hispanic) in the Phoenix is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Phoenix 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 Phoenix Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Some Other Race Alone (5-year estimate) in Maricopa County, AZ (B03002008E004013) from 2009 to 2023 about Maricopa County, AZ; Phoenix; AZ; non-hispanic; estimate; persons; 5-year; population; and USA.

Phoenix demographic data from the American Community Survey (ACS) 1-year estimates

About this dataset

Context

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

Key observations

The percent distribution of Phoenix population by race (across all racial categories recognized by the U.S. Census Bureau): 79.08% are white, 0.05% are Black or African American, 0.43% are American Indian and Alaska Native, 0.32% are Asian, 1.03% are Native Hawaiian and other Pacific Islander, 13.80% are some other race and 5.29% 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 Phoenix
• Population: The population of the racial category (excluding ethnicity) in the Phoenix is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Phoenix 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 Phoenix Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races (5-year estimate) in Pinal County, AZ (B03002019E004021) from 2009 to 2023 about Pinal County, AZ; Phoenix; AZ; latino; hispanic; estimate; persons; 5-year; population; and USA.

Block-level census coverage of early Central Phoenix for 1920, 1930, and 1940, including population, race/ethnicity, household ownership and rentership, and temporary residency. This dataset was designed for use in combination with parcel-level land-use data derived from Sanborn Fire Insurance Maps to assess environmental justice issues in Phoenix’s early 20th Century development.

This dataset contains Phoenix Police Department officer demographics as of January 1st of each year starting in 2018. All ranks of sworn employees are included.

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Historical population data by race and Hispanic origin in Arizona, compiled from U.S. Census records between 1860 and 1990.

About this dataset

Context

The dataset tabulates the Phoenix population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Phoenix.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Phoenix, OR Population Breakdown by Race
• Phoenix, OR Non-Hispanic Population Breakdown by Race
• Phoenix, OR Hispanic or Latino Population Distribution by Their Ancestries

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/.

Historical Dataset of Phoenix High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1993-2023),Total Classroom Teachers Trends Over Years (1993-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1993-2023),Asian Student Percentage Comparison Over Years (1996-2023),Hispanic Student Percentage Comparison Over Years (1996-2023),Black Student Percentage Comparison Over Years (1996-2023),White Student Percentage Comparison Over Years (1996-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (1996-2023),Free Lunch Eligibility Comparison Over Years (2003-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2005-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

The average TV audience of the February 2023 NASCAR Cup race at Phoenix Raceway amounted to around 3.39 million, representing a slight decrease on the previous year. In 2019, the race was watched by an average TV audience of nearly five million.

This dataset tracks annual two or more races student percentage from 2011 to 2023 for Phoenix High School vs. Georgia and Gwinnett County School District

Wildlife communities are structured by numerous ecological filters in cities that influence their populations, and some species even manage to thrive in urban landscapes. CAP researchers were the first to observe “the luxury effect”, the hypothesis that biodiversity is positively related to income of residents. The luxury effect is still being tested worldwide twenty years later and has led to important new research on other socio-demographic factors that shape biodiversity but are vastly understudied, such as race and ethnicity, as well as the interaction of these factors with urban structural inequalities that may be hidden by income. This research aims to unpack the luxury effect by considering other landscape and socio-demographic factors that may influence wildlife communities across neighborhoods of metro Phoenix. Specifically, we are investigating if neighborhood income and ethnicity independently influence mammal occupancy in neighborhoods across the CAP ecosystem. To answer this question, we leveraged a wildlife camera array across CAP within community parks, in which cameras are placed across a gradient of average median household income and percent Latinx of residents. Incorporating socioeconomic data into urban mammal research will allow for the advancement in the understanding of socio-ecological patterns.

This dataset tracks annual two or more races student percentage from 2013 to 2023 for South Mountain High School vs. Arizona and Phoenix Union High School District (4286)

Graph and download economic data for White to Non-White Racial Dissimilarity (5-year estimate) Index for Pinal County, AZ (RACEDISPARITY004021) from 2009 to 2023 about Pinal County, AZ; Phoenix; racial dissimilarity; non-white; AZ; white; 5-year; and USA.

Financial overview and grant giving statistics of Phoenix Greyhound Racing Foundation Inc

This study sought to assess changes in the volume and types of homicide committed in Philadelphia, Phoenix, and St. Louis from 1980 to 1994 and to document the nature of those changes. Three of the eight cities originally studied by Margaret Zahn and Marc Riedel (NATURE AND PATTERNS OF HOMICIDE IN EIGHT AMERICAN CITIES, 1978 [ICPSR 8936]) were revisited for this data collection. In each city, police records were coded for each case of homicide occurring in the city each year from 1980 to 1994. Homicide data for St. Louis were provided by the St. Louis Homicide Project with Scott Decker and Richard Rosenfeld as the principal investigators. Variables describing the event cover study site, year of the case, date and time of assault, location of fatal injury, method used to kill the victim, and circumstances surrounding the death. Variables pertaining to offenders include total number of homicide and assault victims, number of offenders arrested, number of offenders identified, and disposition of event for offenders. Variables on victims focus on whether the victim was killed at work, if the victim was using drugs or alcohol, the victim's blood alcohol level, and the relationship of the victim to the offender. Demographic variables include age, sex, race, and marital status of victims and offenders.

The Drug Testing Technology/Focused Offender Disposition (FOD) program was designed to examine two issues regarding drug users in the criminal justice system: (1) the utility of need assessment instruments in appropriately determining the level of treatment and/or supervision needed by criminal offenders with a history of drug use, and (2) the use of urinalysis monitoring as a deterrent to subsequent drug use. This data collection consists of four datasets from three sites. The FOD program was first established in Birmingham, Alabama, and Phoenix, Arizona, in December 1988 and ran through August 1990. The Chicago, Illinois, program began in October 1990 and ended in March 1992. These first three programs studied probationers with a history of recent drug use who were not incarcerated while awaiting sentencing. The subjects were assessed with one of two different treatment instruments. Half of all clients were assessed with the objective Offender Profile Index (OPI) created by the National Association of State Alcohol and Drug Abuse Directors (NASADAD). The other half were assessed with the local instrument administered in each site by Treatment Alternatives to Street Crime (TASC), Inc. Regardless of which assessment procedure was used, offenders were then randomly assigned to one of two groups. Half of all offenders assessed by the OPI and half of the offenders assessed by the local instrument were assigned to a control group that received only random urinalysis monitoring regardless of the drug treatment intervention strategy prescribed by the assessment instrument. The other half of offenders in each assessment group were assigned to a treatment group that received appropriate drug intervention treatment. The Phoenix pilot study (Part 4), which ran from March 1991 to May 1992, was designed like the first Phoenix study, except that the sample for the pilot study was drawn from convicted felons who were jailed prior to sentencing and who were expected to be sentenced to probation. These data contain administrative information, such as current offense, number of arrests, number of convictions, and prior charges. The need assessment instruments were used to gather data on clients' living arrangements, educational and vocational backgrounds, friendships, history of mental problems, drug use history, and scores measuring stakes in conformity. In addition, the study specifically collected information on the monitoring of the clients while in the FOD program, including the number of urinalyses administered and their results, as well as the placement of clients in treatment programs. The files also contain demographic information, such as age, race, sex, and education.

This dataset tracks annual two or more races student percentage from 2019 to 2023 for Robertson County Phoenix Academy vs. Tennessee and Robertson County School District

About this dataset

Context

The dataset presents the median household income across different racial categories in Phoenix. 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 Phoenix population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.36% of the total residents in Phoenix. Notably, the median household income for White households is $66,250. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $66,250.

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 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 Phoenix.
• Median household income: Median household income, adjusting for inflation, presented in 2023-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 Phoenix median household income by race. You can refer the same here