100+ datasets found
  1. N

    Orange County, VT Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
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    Neilsberg Research (2025). Orange County, VT Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/orange-county-vt-population-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 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
    Vermont, Orange County
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    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 measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. 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 population of Orange County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Orange County. The dataset can be utilized to understand the population distribution of Orange County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Orange County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Orange County.

    Key observations

    Largest age group (population): Male # 60-64 years (1,235) | Female # 55-59 years (1,301). 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 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

    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.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Orange County population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Orange County is shown in the following column.
    • Population (Female): The female population in the Orange County is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Orange County for each age group.

    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 Orange County Population by Gender. You can refer the same here

  2. Global orange production 2012/13-2023/24

    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Global orange production 2012/13-2023/24 [Dataset]. https://www.statista.com/statistics/577398/world-orange-production/
    Explore at:
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic depicts orange production worldwide from 2012/2013 to 2023/2024. During the marketing year 2021/2022, global orange production amounted to about 50.32 million metric tons, and is estimated to decrease to just over 47 million metric tons in 2023/2024.

  3. N

    Orange, Connecticut Population Breakdown by Gender and Age

    • neilsberg.com
    csv, json
    Updated Sep 14, 2023
    + more versions
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    Neilsberg Research (2023). Orange, Connecticut Population Breakdown by Gender and Age [Dataset]. https://www.neilsberg.com/research/datasets/674c6096-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 14, 2023
    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
    Connecticut, Orange
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. 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 population of Orange town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Orange town. The dataset can be utilized to understand the population distribution of Orange town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Orange town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Orange town.

    Key observations

    Largest age group (population): Male # 15-19 years (587) | Female # 5-9 years (606). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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

    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.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Orange town population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Orange town is shown in the following column.
    • Population (Female): The female population in the Orange town is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Orange town for each age group.

    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 Orange town Population by Gender. You can refer the same here

  4. p

    Data from: Orange High School

    • publicschoolreview.com
    json, xml
    Updated Feb 9, 2025
    + more versions
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    Public School Review (2025). Orange High School [Dataset]. https://www.publicschoolreview.com/orange-high-school-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 1987 - Dec 31, 2025
    Description

    Historical Dataset of Orange High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),American Indian Student Percentage Comparison Over Years (2003-2014),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2011-2013),Two or More Races Student Percentage Comparison Over Years (2009-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

  5. Global orange juice production 2014/2015-2022/2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 9, 2025
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    Statista (2025). Global orange juice production 2014/2015-2022/2023 [Dataset]. https://www.statista.com/statistics/1044906/world-orange-juice-production/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    During the marketing year 2022/2023, global orange juice production amounted to about **** million metric tons at ** degrees brix. The previous year, production reached **** million metric tons.

  6. N

    Orange, OH Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Orange, OH Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b249f05c-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 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
    Ohio, Orange
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    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 measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. 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 population of Orange by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Orange across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a slight majority of male population, with 50.41% 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 Orange is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Orange 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 Orange Population by Race & Ethnicity. You can refer the same here

  7. Germany: Oranges 2019-2025

    • app.indexbox.io
    Updated Jun 20, 2025
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    IndexBox AI Platform (2025). Germany: Oranges 2019-2025 [Dataset]. https://app.indexbox.io/table/080510/276/monthly/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    Germany
    Description

    Statistics illustrates consumption, production, prices, and trade of Oranges in Germany from Jan 2019 to Jun 2025.

  8. i

    orange Moving Statistics

    • imoving.com
    Updated Jul 14, 2025
    + more versions
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    (2025). orange Moving Statistics [Dataset]. https://www.imoving.com/texas-movers/orange/
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    Dataset updated
    Jul 14, 2025
    Variables measured
    People Moving In, Average Move Size, People Moving Out, Average Local Move Cost, Moving Quotes Requested, Average Long-Distance Move Cost, Discount and Flexibility Savings
    Description

    Statistics for moving services in orange including costs, move sizes, and other relevant data as of July 2025.

  9. i

    Austria: Orange Juice 2007-2024

    • app.indexbox.io
    Updated Jan 1, 2010
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    IndexBox AI Platform (2010). Austria: Orange Juice 2007-2024 [Dataset]. https://app.indexbox.io/table/200912/40/
    Explore at:
    Dataset updated
    Jan 1, 2010
    Dataset authored and provided by
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2024
    Area covered
    Austria
    Description

    Statistics illustrates consumption, production, prices, and trade of Orange Juice in Austria from 2007 to 2024.

  10. p

    Orange Beach Middlehigh School

    • publicschoolreview.com
    json, xml
    Updated Aug 17, 2024
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    Public School Review (2024). Orange Beach Middlehigh School [Dataset]. https://www.publicschoolreview.com/orange-beach-middlehigh-school-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset updated
    Aug 17, 2024
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 2025 - Dec 31, 2025
    Area covered
    Orange Beach
    Description

    Historical Dataset of Orange Beach Middlehigh School is provided by PublicSchoolReview and contain statistics on metrics:Distribution of Students By Grade Trends

  11. Greenland: Oranges 2019-2025

    • app.indexbox.io
    Updated Jun 15, 2025
    + more versions
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    IndexBox AI Platform (2025). Greenland: Oranges 2019-2025 [Dataset]. https://app.indexbox.io/table/080510/304/monthly/partner/import-volume/
    Explore at:
    Dataset updated
    Jun 15, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    Greenland
    Description

    Statistics illustrates the import volume of Oranges in Greenland from Jan 2019 to Jun 2025 by trade partner.

  12. i

    Holy See: Orange Juice 2007-2024

    • app.indexbox.io
    Updated Jan 1, 2010
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    IndexBox AI Platform (2010). Holy See: Orange Juice 2007-2024 [Dataset]. https://app.indexbox.io/table/200912/336/
    Explore at:
    Dataset updated
    Jan 1, 2010
    Dataset authored and provided by
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2024
    Area covered
    Holy See, Vatican City
    Description

    Statistics illustrates consumption, production, prices, and trade of Orange Juice in Holy See from 2007 to 2024.

  13. i

    Jamaica: Oranges 2019-2025

    • app.indexbox.io
    Updated Jun 15, 2025
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    IndexBox AI Platform (2025). Jamaica: Oranges 2019-2025 [Dataset]. https://app.indexbox.io/table/080510/388/monthly/
    Explore at:
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    Jamaica
    Description

    Statistics illustrates consumption, production, prices, and trade of Oranges in Jamaica from Jan 2019 to Jun 2025.

  14. U.S. per capita consumption of orange juice 2000/01-2023/24

    • statista.com
    • ai-chatbox.pro
    Updated Feb 14, 2025
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    Statista (2025). U.S. per capita consumption of orange juice 2000/01-2023/24 [Dataset]. https://www.statista.com/statistics/895621/us-per-capita-consumption-of-orange-juice/
    Explore at:
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic depicts the per capita consumption of orange juice in the United States from 2000/2001 to 2023/24. In 2022/2023, the U.S. consumption of orange juice amounted to about 2.41 gallons per capita.

  15. i

    Azerbaijan: Oranges 2019-2025

    • app.indexbox.io
    Updated May 15, 2025
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    IndexBox AI Platform (2025). Azerbaijan: Oranges 2019-2025 [Dataset]. https://app.indexbox.io/table/080510/31/monthly/
    Explore at:
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    Azerbaijan
    Description

    Statistics illustrates consumption, production, prices, and trade of Oranges in Azerbaijan from Jan 2019 to May 2025.

  16. Global leading orange producers 2023/2024

    • statista.com
    Updated Mar 31, 2025
    + more versions
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    Statista (2025). Global leading orange producers 2023/2024 [Dataset]. https://www.statista.com/statistics/1044840/major-orange-producers-worldwide/
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    Dataset updated
    Mar 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023 - 2024
    Area covered
    Worldwide
    Description

    During the marketing year 2023/2024, Brazil was the leading global orange producer, with production volume of about 16.5 million metric tons. That year, the global production volume of fresh oranges amounted to about 48.82 million metric tons. Global citrus production Oranges are one of the most produced fruits worldwide, but there are many other types of popular citrus fruits. Some of these include grapefruit, tangerines, clementines, lemons, and limes, among others. In 2021, Asia was the largest producer of citrus fruit worldwide, producing about 83.6 million metric tons of citrus. Citrus production in China China produced just under 56 million metric tons of citrus in 2021, meaning that China was responsible for about 70 percent of all the citrus produced in Asia that year. Not all the fruit produced in China in used domestically. A significant amount of fruit is exported from China each year, ranging from four to seven billion U.S. dollars’ worth of product.

  17. Number of Orange mobile customers worldwide 2015-2023, by market

    • statista.com
    Updated Feb 21, 2024
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    Statista (2024). Number of Orange mobile customers worldwide 2015-2023, by market [Dataset]. https://www.statista.com/statistics/690797/telecom-company-orange-mobile-customers-by-market/
    Explore at:
    Dataset updated
    Feb 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, Orange had around 36.9 million mobile service customers in France, which is the highest number of mobile customers they have had in France during the given period. Overall, Orange's mobile service customers increased in all of their markets in 2023 compared to the previous year except in Central Europe. The considerable increase in mobile service customers in the Belgium & Luxembourg market can be attributed to the acquisition of Belgian cable operator VOO by Orange Belgium in June 2023.

  18. i

    Grant Giving Statistics for Orange Home Grown Foundation Inc.

    • instrumentl.com
    Updated Jan 3, 2022
    + more versions
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    (2022). Grant Giving Statistics for Orange Home Grown Foundation Inc. [Dataset]. https://www.instrumentl.com/990-report/orange-home-grown-foundation-inc
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    Dataset updated
    Jan 3, 2022
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Orange Home Grown Foundation Inc.

  19. Mexico: orange juice consumption volume 2010/2011-2024/2025

    • statista.com
    Updated Feb 12, 2025
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    Statista (2025). Mexico: orange juice consumption volume 2010/2011-2024/2025 [Dataset]. https://www.statista.com/statistics/1000379/mexico-orange-juice-consumption-volume/
    Explore at:
    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    In 2024, the orange juice consumption in Mexico amounted to more than six thousand metric tons. This represents an decrease of six percent compared to the previous year.

  20. U.S. orange production 2000-2024

    • statista.com
    Updated Nov 8, 2024
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    Statista (2024). U.S. orange production 2000-2024 [Dataset]. https://www.statista.com/statistics/193297/us-total-orange-production-since-2000/
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    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. production of oranges amounted to approximately 2.7 million tons in 2024, up from approximately 2.5 million tons the previous year. Orange production in the U.S. has decreased significantly since 2000, when production reached almost 13 billion tons.

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Neilsberg Research (2025). Orange County, VT Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/orange-county-vt-population-by-gender/

Orange County, VT Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition

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csv, jsonAvailable download formats
Dataset updated
Feb 24, 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
Vermont, Orange County
Variables measured
Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
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 measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. 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 population of Orange County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Orange County. The dataset can be utilized to understand the population distribution of Orange County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Orange County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Orange County.

Key observations

Largest age group (population): Male # 60-64 years (1,235) | Female # 55-59 years (1,301). 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 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

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.

Variables / Data Columns

  • Age Group: This column displays the age group for the Orange County population analysis. Total expected values are 18 and are define above in the age groups section.
  • Population (Male): The male population in the Orange County is shown in the following column.
  • Population (Female): The female population in the Orange County is shown in the following column.
  • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Orange County for each age group.

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 Orange County Population by Gender. You can refer the same here

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