9 datasets found
  1. N

    Scarborough, Maine annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Scarborough, Maine annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/scarborough-me-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Scarborough, Maine
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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 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

    • Employment patterns: Within Scarborough town, among individuals aged 15 years and older with income, there were 9,088 men and 9,568 women in the workforce. Among them, 4,879 men were engaged in full-time, year-round employment, while 3,753 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 2.19% fell within the income range of under $24,999, while 7.33% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 47.80% of men in full-time roles earned incomes exceeding $100,000, while 32.48% 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 Scarborough town median household income by race. You can refer the same here

  2. N

    Scarborough, Maine Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Scarborough, Maine Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Scarborough town from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/scarborough-me-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Scarborough, Maine
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Scarborough town is shown in this column.
    • Year on Year Change: This column displays the change in Scarborough town population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. 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 Scarborough town Population by Year. You can refer the same here

  3. w

    Scarborough Borough Council Spend Over £500

    • data.wu.ac.at
    csv, pdf, xls
    Updated Oct 8, 2018
    + more versions
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    Scarborough Borough Council (2018). Scarborough Borough Council Spend Over £500 [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/NWIxNzQyZjktMzE5Mi00NzJhLWJiYzItYzc0ODAyMjU0ZTU5
    Explore at:
    csv, xls, pdfAvailable download formats
    Dataset updated
    Oct 8, 2018
    Dataset provided by
    Scarborough Borough Council
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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

  4. e

    Species point records from 1990 Wimpey Environmental Scarborough sublittoral...

    • data.europa.eu
    • data.wu.ac.at
    csv
    Updated Oct 11, 2021
    + more versions
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    Joint Nature Conservation Committee (2021). Species point records from 1990 Wimpey Environmental Scarborough sublittoral sediment survey [Dataset]. https://data.europa.eu/data/datasets/species-point-records-from-1990-wimpey-environmental-scarborough-sublittoral-sediment-survey
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 11, 2021
    Dataset authored and provided by
    Joint Nature Conservation Committee
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    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.

  5. N

    Scarborough, Maine annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Scarborough, Maine annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/scarborough-me-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Scarborough, Maine
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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.

    Content

    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:

    • Male
    • Female

    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.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    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 Scarborough town median household income by race. You can refer the same here

  6. u

    Toronto Former Municipal Zoning By-laws - Catalogue - Canadian Urban Data...

    • data.urbandatacentre.ca
    Updated Mar 18, 2025
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    (2025). Toronto Former Municipal Zoning By-laws - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/toronto-former-municipal-zoning-by-laws
    Explore at:
    Dataset updated
    Mar 18, 2025
    Area covered
    Toronto
    Description

    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.

  7. o

    A full and exact relation of the horrid murder committed upon the body of...

    • llds.ling-phil.ox.ac.uk
    Updated Jun 15, 2024
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    (2024). A full and exact relation of the horrid murder committed upon the body of col. Rainsborough, the person that did it, and the cause thereof. Also the killing of Capt. Layton, and divers others: and a fight neere Pontefract; with the relieving of Scarborough, and a Pinnace taken there. Likewise the list of the names of some members of both Houses of Parliament, and chiefe officers of the army, against whom there is a designe to take away their lives. Certified by letters to both houses of Parliament. Viz. His Excellency the Lord Generall. The Lord Say and Seal. The Lord Wharton. Lieut. Gen. Cromwell. Mr. Challenor. Mr. Pury. Mr. Corbet. Major-Generall Skippon. Serjeant Wild. Colonell Hammond. Colonell Rich. Colonell Pride. Colonell Hewson, &c. [Dataset]. https://llds.ling-phil.ox.ac.uk/llds/xmlui/handle/20.500.14106/A84952
    Explore at:
    Dataset updated
    Jun 15, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    (:unav)...........................................

  8. p

    Committee of Adjustment Applications - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Aug 31, 2021
    + more versions
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    (2021). Committee of Adjustment Applications - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/committee-of-adjustment-applications
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    Dataset updated
    Aug 31, 2021
    Description

    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.

  9. ServiceOntario wait times (in-person)

    • open.canada.ca
    html, xlsx
    Updated Jul 2, 2025
    + more versions
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    Government of Ontario (2025). ServiceOntario wait times (in-person) [Dataset]. https://open.canada.ca/data/en/dataset/809e4442-983a-4943-a2a0-382ba39c227a
    Explore at:
    xlsx, htmlAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 1, 2018 - May 31, 2022
    Description

    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.

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Neilsberg Research (2025). Scarborough, Maine annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/scarborough-me-income-by-gender/

Scarborough, Maine annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition

Explore at:
json, csvAvailable download formats
Dataset updated
Feb 27, 2025
Dataset authored and provided by
Neilsberg Research
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Scarborough, Maine
Variables measured
Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
Measurement technique
The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
Dataset funded by
Neilsberg Research
Description
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 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

  • Employment patterns: Within Scarborough town, among individuals aged 15 years and older with income, there were 9,088 men and 9,568 women in the workforce. Among them, 4,879 men were engaged in full-time, year-round employment, while 3,753 women were in full-time, year-round roles.
  • Annual income under $24,999: Of the male population working full-time, 2.19% fell within the income range of under $24,999, while 7.33% of the female population working full-time was represented in the same income bracket.
  • Annual income above $100,000: 47.80% of men in full-time roles earned incomes exceeding $100,000, while 32.48% 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 Scarborough town median household income by race. You can refer the same here

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