About this dataset

Context

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

Key observations

The percent distribution of Little Canada population by race (across all racial categories recognized by the U.S. Census Bureau): 62.74% are white, 8.35% are Black or African American, 0.32% are American Indian and Alaska Native, 13.62% are Asian, 5.59% are some other race and 9.38% 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 Little Canada
• Population: The population of the racial category (excluding ethnicity) in the Little Canada is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Little Canada 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 Little Canada Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Little Canada, the largest racial group is White alone with a population of 6,571 (70.74% 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 Little Canada
• Population: The population of the racial category (for Non-Hispanic) in the Little Canada is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Little Canada 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 Little Canada Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of New Canada town population by race (across all racial categories recognized by the U.S. Census Bureau): 75.17% are white, 0.46% are Asian, 19.95% are some other race and 4.41% 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 New Canada town
• Population: The population of the racial category (excluding ethnicity) in the New Canada town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New Canada 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 New Canada town Population by Race & Ethnicity. You can refer the same here

The December 2021 Mandate Letter tasked the Minister of Justice and Attorney General of Canada with the development of Canada’s Black Justice Strategy (the Strategy) to address the overrepresentation of Black people in the criminal justice system, including as victims of crime. An external Steering Group composed of nine experts and leaders from Black communities across Canada was established in February 2023 to provide advice to the Minister of Justice on the development of the Strategy. From March 2023 to February 2024, Steering Group discussions centered around five key issues, or pillars, that inform Black people’s experiences with the criminal justice system: Pillar 1 - Social Determinants of Justice (Employment and Income; Housing; Education; Health and Mental Health; Child Welfare; and Immigration and Settlement); Pillar 2 - Policing; Pillar 3 - Courts and Legislation ; Pillar 4 - Corrections; and Pillar 5 - Parole, Re-entry and Reintegration. In Fall 2023, 12 Black-led community-based organizations (CBOs) used the Framework developed by the Steering Group to guide community consultations, to lead engagements and consultations with Black communities in nine provinces and territories. The CBOs provided reports to the Steering Group detailing the outcomes of the consultations and engagement. Justice Canada also provided the Steering Group with the outcome of the online survey, which was developed to gather insight from community members who were unable to participate in CBO-led consultations and engagement. The report of the external Steering Group (the Report) builds on the Framework and is informed by the Steering Group discussions as well as the outcomes of community engagements and consultations. The Report identifies five principles to guide practical actions and policies in achieving justice for Black communities in Canada: Sankofa, Africentrism, the Principle of Restraint, Evidence-based Decision Making, and Reparative Justice. Five priority areas that inform the recommendations are as follows: Decarceration, Legislative Change, Targeted Resourcing, Structural Change, and Collaboration with Provinces, Territories and Municipalities. In relation to decarceration, the Report recommends reducing the incarceration rate of Black and Indigenous people by 50% of the current rate by 2034. The Report identifies eight overarching structural and accountability recommendations, described as actions that do not fit within only one specific pillar but that are intended to drive systemic change. In addition to the overarching recommendations, there are 106 recommendations under the five pillars, organized as short, medium, or long-term.

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 New Canada town. 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 2013 and 2023, 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 New Canada town, the median household income for the households where the householder is White increased by $25,925(47.13%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $55,013 in 2013 and $80,938 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in New Canada town, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• 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

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 New Canada town.
• 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
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are 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 New Canada town median household income by race. You can refer the same here

Black carbon is a short-lived, small aerosol (or airborne) particle linked to both climate warming and adverse health effects. It is emitted from incomplete combustion of carbon-based fuels (i.e., fossil fuels, biofuels, wood) in the form of very fine particulate matter. Black carbon is not emitted on its own, but as a component of particulate matter less than or equal to 2.5 micrometres in diameter (PM2.5). As a member of the Arctic Council, Canada has committed to producing an annual inventory of black carbon emissions. This data will serve to inform Canadians about black carbon emissions and provide valuable information for the development of air quality management strategies. The data used to compile the report originate from sections of the Air Pollutant Emission Inventory (APEI) specifically fine particulate matter (PM2.5) emissions from combustion-related sources. Supplemental Information For more information on Canada's Black Carbon Inventory, please visit: https://Canada.ca/black-carbon For Canada's emissions of other air pollutants, please reference the Air Pollutant Emission Inventory: https://Canada.ca/APEI APEI and Black Carbon Interactive Query Tool: https://pollution-waste.canada.ca/air-emission-inventory Supporting Projects: Canada's Black Carbon Inventory for 2013-2023

This dataset tracks annual black student percentage from 1990 to 2023 for La Canada High School vs. California and La Canada Unified School District

The following snapshot aims to highlight how Anti-Black racism and systemic discrimination are key drivers of health inequalities faced by diverse Black Canadian communities.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.

This program is used to track Black Oystercatcher (Haematopus bachmani) population trend, local abundance, and annual survivorship. Bird banding, re-sighting visits and nesting population counts occur annually in the spring, with banding occurring in May to July since 2007, and nesting population counts occurring in late May or early June since 2008. The measurement for this species represents a complete annual census of birds nesting at key nesting locations across the park and is standardized across the three National Parks in the Coastal British Columbia bioregion with links to monitoring programs taking place in Alaska and Washington State. Completely dependent on marine shorelines for its food and nesting, these monogamous and long-lived birds establish well-defined breeding pairs and occupy composite feeding and nesting territories year after year, often along low-sloping gravel or rocky shorelines where intertidal prey are abundant. Black oystercatchers are generally considered to be good measures of quality of the rocky intertidal habitat in the North and North-West Pacific Region of North America.

This data breaks down estimated hunter and harvest numbers by:

• wildlife management unit (WMU)
• calendar year

Harvest and active hunter numbers are estimates based on replies received from a sample of hunters and are therefore subject to statistical error.

Additional technical and statistical notes can be found in the data dictionary.

A database of geospatial coordinates that represent points of reference for photos that are held in the Archives' of Ontario's collection. The photos themselves are not part of the dataset.

About this dataset

Context

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

Key observations

The percent distribution of Canadian population by race (across all racial categories recognized by the U.S. Census Bureau): 87.26% are white, 3.30% are American Indian and Alaska Native and 9.43% 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 Canadian
• Population: The population of the racial category (excluding ethnicity) in the Canadian is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Canadian 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 Canadian Population by Race & Ethnicity. You can refer the same here

About the Dataset:

Amazon is one of the biggest online retailers in the UK. With this dataset, you can get an in-depth idea of what products sell best, which SEO titles generate the most sales, the best price range for a product in a given category, and much more.

It took a lot of time and energy to prepare this original dataset, so don't forget to hit the upvote button! 😊💝

Similar Datasets:

Amazon Canada Products

Amazon India Products

Amazon USA Products

Interesting Task Ideas:

1. Uncover trending product categories and their sales performance.
2. Analyze customer ratings to find top-rated products.
3. Train a product title generator that can generate sales-worthy product titles based on products with the most sales.
4. Gain insight into the best price for any given product based on sales data and competition.
5. Identify which niches are the easiest to make sales in.
6. Gain insights into the general spending habits of online shoppers.
7. Use as a seed dataset for practicing database management and performance optimization.
8. Train (or learn to train) an AI-based search model to recommend Amazon products.

Checkout my other datasets

USA Unemployment Rates by Demographics & Race

USA Hispanic-White Wage Gap Dataset

Median and Avg Hourly Wages in the USA

Health Insurance Coverage in the USA

Black-White Wage Gap in the USA Dataset

Photo by Canonicalized

About the Dataset:

Amazon is one of the biggest online retailers in the USA that sells over 12 million products. With this dataset, you can get an in-depth idea of what products sell best, which SEO titles generate the most sales, the best price range for a product in a given category, and much more.

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

Similar datasets:

Amazon UK Products

Amazon Canada Products

Amazon India Products

Interesting Task Ideas:

1. Uncover trending product categories and their sales performance.
2. Analyze customer ratings to find top-rated products.
3. Train a product title generator that can generate sales-worthy product titles based on products with the most sales.
4. Gain insight into the best price for any given product based on sales data and competition.
5. Identify which niches are the easiest to make sales in.
6. Gain insights into the general spending habits of online shoppers.
7. Use as a seed dataset for practicing database management and performance optimization.
8. Train (or learn to train) an AI-based search model to recommend Amazon products.

Checkout my other datasets

USA Unemployment Rates by Demographics & Race

USA Hispanic-White Wage Gap Dataset

Median and Avg Hourly Wages in the USA

Health Insurance Coverage in the USA

Black-White Wage Gap in the USA Dataset

This program is used to track Black Oystercatcher (Haematopus bachmani) population trend, local abundance, and annual survivorship. Bird banding, re-sighting visits and nesting population counts occur annually in the spring, with banding occurring in May to July since 2007, and nesting population counts occurring in late May or early June since 2008. The measurement for this species represents a complete annual census of birds nesting at key nesting locations across the park and is standardized across the three National Parks in the Coastal British Columbia bioregion with links to monitoring programs taking place in Alaska and Washington State. Completely dependent on marine shorelines for its food and nesting, these monogamous and long-lived birds establish well-defined breeding pairs and occupy composite feeding and nesting territories year after year, often along low-sloping gravel or rocky shorelines where intertidal prey are abundant. Black oystercatchers are generally considered to be good measures of quality of the rocky intertidal habitat in the North and North-West Pacific Region of North America.

This project aims to capture population trends by estimating absolute abundance of American Black Bears (Ursus americanus) every 2-3 years and relative abundance of three forest mammals (American Black Bear, Grey Wolf (Canis lupus) and Black-tailed Deer (Odocoileus hemionus ssp.)) annually. Forty two 6.8 km2 grid cell units on the landscape are surveyed for animal presence three times per season between May and September using remote wildlife cameras. Cameras are cycled through the 42 sites over the course of the sampling season with each survey lasting ca. 2 weeks within a 6 week period. At present 2 methods of abundance estimation are being considered and compared: (1) A DNA-based spatially explicit capture-recapture method that will allow for unbiased estimation of absolute abundance and (2) A wildlife camera trapping method that allows to estimate site occupancy on the landscape as a measure of relative abundance. Forest carnivores provide an excellent resource for long term ecological integrity monitoring and the analysis of population changes over time. Ecosystems with top carnivores are thought to have high biodiversity and be functioning well in terms of nutrient and energy cycling.

This data provides the integrated cadastral framework for the specified Canada Land. The cadastral framework consists of active and superseded cadastral parcel, roads, easements, administrative areas, active lines, points and annotations. The cadastral lines form the boundaries of the parcels. COGO attributes are associated to the lines and depict the adjusted framework of the cadastral fabric. The cadastral annotations consist of lot numbers, block numbers, township numbers, etc. The cadastral framework is compiled from Canada Lands Survey Records (CLSR), Registration Plans (RS) and Location Sketches (LS) archived in the Canada Lands Survey Records.

Background: Data on COVID-19 suggests that Black Canadians are disproportionately affected by the disease, with higher percentages of cases and severe outcomes than the general population. Aims of the original study: The study aimed to assess the immune responses to COVID-19 vaccines among Black Canadians and to monitor the duration of immunity. They also aimed to identify any differences in the safety and effectiveness of COVID-19 vaccines between Black and non-Black Canadians. Methods: This cohort study recruited Black Canadians and non-Black Canadians across Canada who had received a COVID-19 vaccine. Blood tests were conducted at four time points over the course of 12 months before and after vaccination, to follow up on their immune response to the vaccine. Participants were also surveyed to find out if they experienced any adverse events after vaccination. Summary of the contributed data: the datasets include 1490 participants from Toronto who completed baseline survey between July 2020 and April 2024. 495 participants (33%) continued follow-up surveys, and 1 new participant was recruited during follow-up stage (contributed one or more times of follow-up visit). All participants gave one or more serology samples between July 2021 and April 2024. For London area, the datasets include 102 participants who completed survey, and all participants gave one serology sample between December 2021 and February 2023. Variables include data in the following areas of information: demographics (age, gender, race-ethnicity, occupation), general health (lung disease, heart disease, immunosuppression, height and weight, flu vaccine), longitudinal follow up for COVID infection (test date and result, hospitalization), SARS-CoV-2 vaccination and serology.

The Ontario Ministry of Natural Resources samples black bear (Ursus americanus) DNA at baited barbed wire hair corrals on multiple independent study areas in Ontario, Canada, annually since 2017 (except in 2020 and 2021). Spatially explicit capture-recapture data from surveys conducted since 2017 are archived here. This data set will be cited in manuscripts presenting analyses of the entire data set or subsets thereof.