On November 5, 2024, Senate elections will be held in the state of Pennsylvania. As of November polling, Democratic incumbent Bob Casey Jr. was leading Republican businessman David McCormick by almost two percentage points. This race is one of the 15 Democratic-held U.S. Senate seats up for election in 2024, and is crucial for Democrats to remain the Senate majority in 2024.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Lead Hill, the largest racial group is White alone with a population of 296 (92.50% 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 Lead Hill
• Population: The population of the racial category (for Non-Hispanic) in the Lead Hill is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Lead Hill 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 Lead Hill Population by Race & Ethnicity. You can refer the same here

In the second and third weeks of September 2024, the presidential campaign of U.S. vice president Kamala Harris spent 41.3 million U.S. dollars on broadcast TV advertising, while her main sponsor, the FF PAC in coordination with LCV Victory Fund, spent almost 17 million. The campaign of Harris' competitor, former president Donald Trump, spent 1.9 million, while his main sponsor, Make America Great Again Inc., allotted 10.3 million.

As of January 1, 2009, Connecticut law mandates that medical providers must conduct annual lead screening (i.e., blood lead testing) for each child 9 to 35 months of age. Furthermore, the law requires that any child between 36-72 months of age who has not been previously tested must also be tested by the child’s medical provider, regardless of risk. This dataset shows the incidence of childhood lead poisoning by race/ethnicity. Incidence = Number of new cases Incidence % = Number of new cases / Population screened with no history of elevated level

2016 Michigan: Trump vs. Clinton | RealClearPolling

About this dataset

Context

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

Key observations

With a zero Hispanic population, South Lead Hill is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 37 (94.87% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/south-lead-hill-ar-population-by-race-and-ethnicity.jpeg" alt="South Lead Hill Non-Hispanic population by race">

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

2024 Missouri Senate - Hawley vs. Kunce | RealClearPolling

The present study intended to determine the nationality of the fastest 100-mile ultra-marathoners and the country/events where the fastest 100-mile races are held. A machine learning model based on the XG Boost algorithm was built to predict the running speed from the athlete’s age (Age group), gender (Gender), country of origin (Athlete country) and where the race occurred (Event country). Model explainability tools were then used to investigate how each independent variable influenced the predicted running speed. A total of 172,110 race records from 65,392 unique runners from 68 different countries participating in races held in 44 different countries were used for analyses. The model rates Event country (0.53) as the most important predictor (based on data entropy reduction), followed by Athlete country (0.21), Age group (0.14), and Gender (0.13). In terms of participation, the United States leads by far, followed by Great Britain, Canada, South Africa, and Japan, in both athlete and event counts. The fastest 100-mile races are held in Romania, Israel, Switzerland, Finland, Russia, the Netherlands, France, Denmark, Czechia, and Taiwan. The fastest athletes come mostly from Eastern European countries (Lithuania, Latvia, Ukraine, Finland, Russia, Hungary, Slovakia) and also Israel. In contrast, the slowest athletes come from Asian countries like China, Thailand, Vietnam, Indonesia, Malaysia, and Brunei. The difference among male and female predictions is relatively small at about 0.25 km/h. The fastest age group is 25–29 years, but the average speeds of groups 20–24 and 30–34 years are close. Participation, however, peaks for the age group 40–44 years. The model predicts the event location (country of event) as the most important predictor for a fast 100-mile race time. The fastest race courses were occurred in Romania, Israel, Switzerland, Finland, Russia, the Netherlands, France, Denmark, Czechia, and Taiwan. Athletes and coaches can use these findings for their race preparation to find the most appropriate racecourse for a fast 100-mile race time.

2016 Florida: Trump vs. Clinton | RealClearPolling

About this dataset

Context

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

Key observations

The percent distribution of Lead population by race (across all racial categories recognized by the U.S. Census Bureau): 96.05% are white, 0.80% are American Indian and Alaska Native, 0.47% are Asian, 0.50% are Native Hawaiian and other Pacific Islander, 0.40% are some other race and 1.77% are multiracial.

https://i.neilsberg.com/ch/lead-sd-population-by-race.jpeg" alt="Lead population by race">

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

This statistic shows U.S. business leaders' perceptions of the leading countries in the race for artificial intelligence (AI) as of March 2019. Around ** percent of U.S.-based CEOs and business leaders stated that they believed the United States was currently leading the race for AI.

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Round Top Elementary School vs. South Carolina and Richland 02 School District

About this dataset

Context

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

Key observations

The percent distribution of Lead Hill population by race (across all racial categories recognized by the U.S. Census Bureau): 91.87% are white, 0.71% are Black or African American, 1.77% are some other race and 5.65% 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 Lead Hill
• Population: The population of the racial category (excluding ethnicity) in the Lead Hill is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Lead Hill 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 Lead Hill Population by Race & Ethnicity. You can refer the same here

As of 2025, Ferrari had more Grand Prix wins than any other team, with an all-time total of over 240. McLaren and Mercedes ranked in second and third place respectively.

The global touring car rally race market is a dynamic and expanding sector, projected to experience significant growth over the next decade. While precise market sizing figures are unavailable, a reasonable estimate based on related motorsport markets (e.g., Formula 1, NASCAR) suggests a current market value (2025) in the range of $2-3 billion. This valuation incorporates revenue streams from broadcasting rights, sponsorships, ticket sales, merchandise, and associated commercial activities. The Compound Annual Growth Rate (CAGR) is estimated to be between 5-7%, driven by factors such as increasing global interest in motorsport, technological advancements in vehicle performance and safety, and the expansion of professional racing leagues and events. Key trends include the rising popularity of electric and hybrid touring car racing, the increasing engagement of digital platforms and streaming services for broadcasting events, and the evolution of fan experiences, incorporating immersive technologies and interactive elements. While challenges exist, such as securing sustainable funding for teams and events, the market's growth trajectory remains positive. The segment breakdown shows significant contributions from the sports industry, television broadcasting, and public welfare initiatives, with production-modified car races leading the type segment. Geographic distribution demonstrates strong participation from North America and Europe, but substantial growth potential exists in Asia-Pacific and other developing regions. The competitive landscape is characterized by a mix of established international federations (FIA, etc.) and regional racing organizations. These organizations play a vital role in regulating the sport, defining safety standards, and promoting fair competition. The success of major players relies on their ability to secure high-profile sponsorships, effectively manage their racing events, and engage a diverse audience. Looking ahead, further innovation in technology and enhanced fan engagement will be critical for sustaining the market’s growth and establishing touring car racing as a leading global motorsport spectacle. This will involve addressing potential restraints such as environmental concerns related to fuel consumption and the need for cost-effective participation to broaden access to aspiring racers.

For current version see: https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_health_statistics/CHSU_Mortality.html#leading

Leading Causes of Death in San Diego County, by Gender, Race/Ethnicity, HHSA Region and Supervisorial District. Gender and race/ethnicity are at the county geographic level.

Notes: 1. Rank is based on total number of deaths in each of the National Center for Health Statistics (NCHS) "rankable" categories. The top 15 leading causes of death presented here are based on the San Diego County residents for each year.
2. Cause of death is based on the underlying cause of death reported on death certificates as classified by ICD-10 codes.
3. Deaths for specific demographics or geographic area may not equal the total deaths for San Diego County due to missing data.
§ Not shown for fewer than 5 deaths.

Source: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System.
Prepared by County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2018.

Ranking of top 25 countries by number of records of IM finishers, accounting for over 94% of the full sample.

Comprehensive dataset of 22 Race car dealers in Colorado, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Lead, the largest racial group is White alone with a population of 2,871 (97.32% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/lead-sd-population-by-race-and-ethnicity.jpeg" alt="Lead Non-Hispanic population by race">

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

2024 Michigan Senate - Rogers vs. Slotkin | RealClearPolling