Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a map that shows the index of concentration for Census Divisions and index of entropy (ethnic heterogeneity) for all 25 Census Metropolitan Areas (CMAs). The graphs show the breakdown of ethnic population in each CMA, and for Canada.

Data on military service status by mother tongue, knowledge of official languages, immigrant status and period of immigration, visible minority and gender for the population aged 17 years and over in private households in Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.

Two datasets that were used to review the research on equality, diversity, and inclusion (EDI) in international business research. Data includes: Summaries from articles addressing EDI in each of the nine journals ranked 3 or higher for international business on the 2021 Chartered Association of Business Schools journal list (ABS list, or Academic Journal Guide AJG). Assessment published material that resulted from a search for full text, academic peer-reviewed, English language articles with both terms "diversity" AND "inclus*" using Business Source Complete,for the period 1928-2022.

This dataset contains aggregate data tables (formerly known as Topic-based Tabulations) for immigration and ethnocultural diversity variables.

Percentage of enterprises that have a corporate diversity strategy, by North American Industry Classification System (NAICS) and enterprise size.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within New Canada town. The dataset can be utilized to gain insights into gender-based income distribution within the New Canada town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within New Canada town, among individuals aged 15 years and older with income, there were 152 men and 118 women in the workforce. Among them, 76 men were engaged in full-time, year-round employment, while 41 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 4.88% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 13.16% of men in full-time roles earned incomes exceeding $100,000, while 7.32% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

About this dataset

Context

The dataset presents the median household income across different racial categories in Canadian County. 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 Canadian County population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 77.89% of the total residents in Canadian County. Notably, the median household income for White households is $82,305. Interestingly, despite the White population being the most populous, it is worth noting that Some Other Race households actually reports the highest median household income, with a median income of $93,253. This reveals that, while Whites may be the most numerous in Canadian County, Some Other Race households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/canadian-county-ok-median-household-income-by-race.jpeg" alt="Canadian County 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) 2022 1-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 Canadian County.
• 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 Canadian County median household income by race. You can refer the same here

The Data Tables are a series of cross-tabulations presents a portrait of Canada based on the various census topics. They range in complexity and are available for various levels of geography. The topic of this dataset is Ethnocultural and Religious Diversity.

Introduction

Welcome to the Canadian English General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of English speech technologies. This dataset is designed to train and fine-tune ASR systems, spoken language understanding models, and generative voice AI tailored to real-world Canadian English communication.

Curated by FutureBeeAI, this 30 hours dataset offers unscripted, spontaneous two-speaker conversations across a wide array of real-life topics. It enables researchers, AI developers, and voice-first product teams to build robust, production-grade English speech models that understand and respond to authentic Canadian accents and dialects.

Speech Data

The dataset comprises 30 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of Canadian English. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.

Topic Diversity

The dataset spans a wide variety of everyday and domain-relevant themes. This topic diversity ensures the resulting models are adaptable to broad speech contexts.

Transcription

Each audio file is paired with a human-verified, verbatim transcription available in JSON format.

These transcriptions are production-ready, enabling seamless integration into ASR model pipelines or conversational AI workflows.

Metadata

The dataset comes with granular metadata for both speakers and recordings:

Such metadata helps developers fine-tune model training and supports use-case-specific filtering or demographic analysis.

Usage and Applications

This dataset is a versatile resource for multiple English speech and language AI applications:

The Diversity and Inclusion survey was commissioned by the Privy Council Office in 2017 with the aim of examining the attitudes of Canadians aged 18 and over with respect to diversity and social inclusion. Canadian Heritage, including the Policy Research Group, participated in the Diversity and Inclusion survey design (with the Privy Council Office, Statistics Canada and in consultation with the research company RIWI), and the Policy Research Group produced a report that analyzes the survey data by looking at responses by socio-demographic groups. The results were presented at the conference Statistics Canada: 100 Years and Counting in Ottawa on December 6, 2018.

This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.

The Biodiversity Science Database is a compilation of fish community data from DFO Science Surveys. Data includes: sampling site, date, fish counts, fish species, and associated habitat information. This database was established to support fish species at risk research through the DFO Species at Risk Program and is used primarily for updating the current status of fish species at risk populations across Southern Ontario. The dataset has been constrained to sampling site characteristics for placement on Great Lakes DataStream; the original is available via the Government of Canada Open Data portal, see Data Source URL.

Proportion of the school age population, by selected characteristics, in and out of census metropolitan areas (CMAs). This table is included in Section A: A portrait of the school-age population: Cultural diversity of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

This data set presents data from the 2021 population census shared by Statistics Canada to the City of Montreal as part of a data order carried out by the Department of Diversity and Social Inclusion. The Social Business Intelligence and Optimization Division of the Diversity and Social Inclusion Department also produced a series of thematic portraits, designed to provide a detailed and comprehensive view of various social dimensions within our community. Based on data from the 2021 census from Statistics Canada, they provide in-depth information at the level of the agglomeration, the city and each district. The themes addressed are: - Poverty - Immigration - Children (0 to 11 years old) - Young people (12 to 24 years old) - Children (0 to 11 years old) - Children (0 to 11 years old) - Children (0 to 11 years old) -youth-2021) - Seniors (65 years and over) - Activity limitations Important The data is available under the open license from Statistics Canada. For the terms of use, please consult the license available on the Statistics Canada site. When reusing data, it is important to cite the source (Statistics Canada 2021 Census) and to mention that the product is the result of a personalized order made by the City of Montreal.

The Ethnocultural and Religious Diversity profile information for Dissemination Area was extracted from the Statistics Canada 2021 Beyond 20/20 browser software. It contains the information gathered during the 2021Census with respect to the population within a Dissemination Area and the breakdown of this population by Ethnocultural and Religious Diversity .This data covers the Dissemination Area in York Region only. Statistics Canada has suppressed the profiles for certain areas due to very low population count. Suppressed areas will appear as NULL values in the attribute table.Please exercise caution if using dissemination areas to roll up (aggregate) to other levels of census geographies, due to greater suppression applied by Statistics Canada at dissemination area. Interested in viewing and interacting with this data even more? Visit the York Region Census Explorer Dashboard to gain high level insights from this data at the municipal and regional level for York Region.For more information on the 2021Census, please go to the Statistics Canada website at :https://www12.statcan.gc.ca/census-recensement/index-eng.cfm

The goal of MIDI is to provide information about marine invertebrates (animals without backbones). We hope to engage scientists, educators and students, resource users, environmental managers, naturalists, fishermen and the general public in learning, discovering and respecting the biodiversity of our oceans. This dataset contains the marine invertebrate species that can be found in the waters of the MIDI study area. This includes the Scotian Shelf, Bay of Fundy, Bras D'or Lakes and the Gulf of Maine. Use the MIDI Database link to access more information about marine invertebrate species, marine habitats, locations or references. OBIS Schema concepts implemented in this data set are:DateLastModified, InstitutionCode, CollectionCode, CatalogNumber, ScientificName, BasisOfRecord, Phylum, Class, Order, Family, Genus, Species, ScientificNameAuthor, YearCollected, MonthCollected, DayCollected, ContinentOcean, Country, StateProvince, County, Locality, Longitude, Latitude, IndividualCount. For OBIS Schema concept details see http://www.iobis.org/tech/provider/

Percentage of enterprises that have a corporate diversity strategy, by North American Industry Classification System (NAICS) and enterprise size.

This dataset tracks annual diversity score from 1991 to 2023 for La Canada Elementary School vs. California and Lompoc Unified School District

Ecoregions vary in their make up and complexity. Some are relatively uniform in their composition, structure and processes. Others contain extreme variations in relief, soils, climate, vegetation, and species. This map shows the number of land cover types (up to 29 types are possible) per ecoregion and gives an indication of the level of diversity within a particular ecosystem.