About this dataset

Context

The dataset tabulates the population of Montreal by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Montreal across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.75% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Montreal is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Montreal 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 Montreal Population by Race & Ethnicity. You can refer the same here

Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.

About this dataset

Context

The dataset tabulates the Montreal population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Montreal. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 466 (58.25% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Montreal population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Montreal is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Montreal is shown in the following column.

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 Montreal Population by Age. You can refer the same here

Historical dataset of population level and growth rate for the Montreal, Canada metro area from 1950 to 2025.

About this dataset

Context

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

Key observations

The percent distribution of Montreal population by race (across all racial categories recognized by the U.S. Census Bureau): 89.84% are white, 3.78% are American Indian and Alaska Native, 0.13% are Asian, 3.13% are some other race and 3.13% 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 Montreal
• Population: The population of the racial category (excluding ethnicity) in the Montreal is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Montreal 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 Montreal Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Montreal, WI population pyramid, which represents the Montreal population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Montreal, WI, is 31.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Montreal, WI, is 28.3.
• Total dependency ratio for Montreal, WI is 59.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Montreal, WI is 3.5.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Montreal population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Montreal for the selected age group is shown in the following column.
• Population (Female): The female population in the Montreal for the selected age group is shown in the following column.
• Total Population: The total population of the Montreal for the selected age group is shown in the following column.

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 Montreal Population by Age. You can refer the same here

Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate consisting of four condensed maps that show urban populations of the people living in Canada. The two maps at the top of this plate show the night-time distribution of population, circa 1956 for Metropolitan Toronto and part of Montreal Island. These two maps actually show the distribution of persons in their permanent homes, without adjustments for such persons that may be absent from their homes at night. Persons in short term, transient residence, such as those in hotels and hospitals are not represented. Another map shows the distribution of urban population across Canada, circa 1951. The definition of urban includes all persons residing in cities, towns and villages of 1000 population or more, whether incorporated or unincorporated, as well as the population of all parts of the census metropolitan areas. A smaller scale map of Canada shows urban areas. These are areas in which urban communities of 1000 or more population are 15 or fewer miles apart.

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 City of Montreal offers a multitude of programs for the Montreal population and organizations established in the area. This data set allows you to consult the list of programs as published on the City of Montreal's website.

The City of Montreal offers a multitude of programs for the Montreal population and organizations established in the area. This data set allows you to consult the list of programs as published on the City of Montreal's website.

About this dataset

Context

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

Key observations

The percent distribution of Montreal population by race (across all racial categories recognized by the U.S. Census Bureau): 90.88% are white, 1.50% are American Indian and Alaska Native, 0.13% are Asian, 1.63% are some other race and 5.88% 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 Montreal
• Population: The population of the racial category (excluding ethnicity) in the Montreal is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Montreal 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 Montreal Population by Race & Ethnicity. You can refer the same here

Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.

This presentation, offered by the Montreal Data Service Center, will provide a brief overview of the new features related to the concepts and variables of the 2021 Census as well as the various products available such as data tables, profiles, visualization tools, analyses, guides, etc. A demonstration on the census program webpage will also be included to teach participants how to effectively find and use census data. Presented by: Thérèse Nguyen (Statistics Canada) Samuel Dupéré (Statistics Canada)

This ZIP file contains an IVT file.

Consultation conducted by the City of Montreal with the population and its employees. The 2020-2030 Dream Montreal online survey obtained 12,500 responses, including 4,000 people working in the City of Montreal. To find out more about the Montréal 2030 strategic plan.

25% sample data.

A geographic layer dividing Montreal into historical and analytical entities, meeting housing analysis needs. In addition, these neighborhoods are relatively homogeneous socio-economically living environments.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows the distribution of the Canadian population, circa 1951. Population sizes are indicated on the map by representative units of 50 or 1000. In southern Canada, the population of the 15 metropolitan areas and urban centres of 25 000 inhabitants and over is shown by a disc, the area of which is proportional to its population. The scale ranges from metropolitan Montreal (1 395 400 inhabitants) to Glace Bay (25 586 inhabitants). There are still very small populations in northern Canada, but there are clusters within Capital cities, and a even larger concentration south, near the U.S. border, in particular along ocean or inland coastlines. The congregation near or on the coastline of water indicate the influence of industry, natural resources and trade. Two graphs accompany this map. The first graph shows the numerical distribution of population for 1951 by Canada, the provinces and the territories. The second graph shows the percentage distribution of population for 1951 by province and territory.

This ZIP file contains an IVT file.

Historical Hourly Weather Data

Who amongst us doesn't small talk about the weather every once in a while?
The goal of this dataset is to elevate this small talk to medium talk.

Just kidding, I actually originally decided to collect this dataset in order to demonstrate basic signal processing concepts, such as filtering, Fourier transform, auto-correlation, cross-correlation, etc..., (for a data analysis course I'm currently preparing).
I wanted to demonstrate these concepts on signals that we all have intimate familiarity with and hope that this way these concepts will be better understood than with just made up signals.

The weather is excellent for demonstrating these kinds of concepts as it contains periodic temporal structure with two very different periods (daily and yearly).

http://www.sciencehub4kids.com/wp-content/uploads/2015/08/The-four-seasons.jpg" alt="a nice 4 seasons image">

Content

The dataset contains ~5 years of high temporal resolution (hourly measurements) data of various weather attributes, such as temperature, humidity, air pressure, etc.
This data is available for 30 US and Canadian Cities, as well as 6 Israeli cities.
I've organized the data according to a common time axis for easy use.
Each attribute has it's own file and is organized such that the rows are the time axis (it's the same time axis for all files), and the columns are the different cities (it's the same city ordering for all files as well).
Additionally, for each city we also have the country, latitude and longitude information in a separate file.

Acknowledgements

The dataset was aquired using Weather API on the OpenWeatherMap website, and is available under the ODbL License.

Inspiration

Weather data is both intrinsically interesting, and also potentially useful when correlated with other types of data.
For example, Wildfire spread is potentially related to weather conditions, demand for cabs is famously known to be correlated with weather conditions (here, here and here you can find NYC cab ride data), and use of city bikes is probably also correlated with weather in interesting ways (check out this Austin dataset, this SF dataset, this Montreal dataset, and this NYC dataset).
Traffic is also probably related to weather.
Another potentially interesting source of correlation is between weather and crime. Here are a few crime datasets on kaggle of cities present in this weather dataset: Chicago, Philadelphia, Los Angeles, Vancouver, Austin, NYC

There are many other potentially interesting connections between everyday life and the weather that we can explore together with the help of this dataset. Have fun!