Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 Scarborough town. The dataset can be utilized to gain insights into gender-based income distribution within the Scarborough town population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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.
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/.
This dataset is a part of the main dataset for Scarborough town median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Scarborough town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Scarborough town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Scarborough town was 23,656, a 1.88% increase year-by-year from 2022. Previously, in 2022, Scarborough town population was 23,219, an increase of 2.23% compared to a population of 22,712 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Scarborough town increased by 6,495. In this period, the peak population was 23,656 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Scarborough town Population by Year. You can refer the same here
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The information comes from our general ledger system and is grouped by an invoices payment date, rather than when it is first recorded on our ledger system. The report includes all payments generated through Accounts Payable, with the following exceptions:
Invoice payments where the total invoice (including VAT) is less than £500 Refunds made to individuals Salary payments (including severance, NI and pension payments) Investment transactions by the Council Provisions and promises to pay not yet realised VAT
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
A day grab 90.1m2 ) was used to collect the samples of soft sediment. Samples were washed through a 1mm sieve. Four replicate samples were taken at each station and results were presented as an average number of individuals from 4 replicate samples (each 0.1m2) for each species at each station.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Scarborough town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.
Key observations: Insights from 2023
Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Scarborough town, the median income for all workers aged 15 years and older, regardless of work hours, was $69,918 for males and $41,966 for females.
These income figures highlight a substantial gender-based income gap in Scarborough town. Women, regardless of work hours, earn 60 cents for each dollar earned by men. This significant gender pay gap, approximately 40%, underscores concerning gender-based income inequality in the town of Scarborough town.
- Full-time workers, aged 15 years and older: In Scarborough town, among full-time, year-round workers aged 15 years and older, males earned a median income of $95,245, while females earned $74,891, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Scarborough town.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.
Gender classifications include:
Employment type classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Scarborough town median household income by race. You can refer the same here
The dataset titled "Toronto Former Municipal Zoning By-laws" falls under the domain of Housing and is tagged with keywords such as By-laws, Housing Potential, Land Use, Municipal Zoning, Toronto, and Zoning. It is available in HTML format and covers the geospatial area of Toronto. The dataset is open for access and its location is provided. The City of Toronto is the owner, publisher, and the organization that holds the dataset. The dataset was accessed on March 1, 2025, and is available in English. Although a link to the dataset description and its source is provided, it does not have a persistent identifier or a globally unique identifier. The dataset does not contain data about individuals, identifiable individuals, or Indigenous communities. The geospatial resolution of the dataset is at the municipal level. The dataset does not specify a license for access. It includes resources such as zoning by-laws for various regions within Toronto like East York, Leaside, Etobicoke, Long Branch, Mimico, New Toronto, North York, the former City of Toronto, Scarborough, and York. The metadata for this dataset was created and last modified on March 19, 2025.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
(:unav)...........................................
This dataset includes information about applications submitted to the Committee of Adjustment for minor variances to zoning by-laws, and consents. Toronto City Council has appointed a Committee of Adjustment consisting of citizen members. The Committee of Adjustment operates as four panels: Etobicoke York, North York, Toronto & East York and Scarborough. They regularly hold public hearings to consider applications for minor variances and consents. For final decision details contact the local Committee of Adjustment. For more information, visit the Application Information Centre.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This dataset contains the estimated percentage of customers who waited less than 20 minutes at publicly and privately operated ServiceOntario centres, reported by month. Low volume centres and those that did not collect or report samples are excluded.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 Scarborough town. The dataset can be utilized to gain insights into gender-based income distribution within the Scarborough town population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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.
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/.
This dataset is a part of the main dataset for Scarborough town median household income by race. You can refer the same here