Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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 Orange County Population by Gender. You can refer the same here
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
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
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 Orange town Population by Gender. 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
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)
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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
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 Orange Population by Race & Ethnicity. You can refer the same here
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
Statistics illustrates consumption, production, prices, and trade of Oranges in Germany from Jan 2019 to Jun 2025.
Statistics for moving services in orange including costs, move sizes, and other relevant data as of July 2025.
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
Statistics illustrates consumption, production, prices, and trade of Orange Juice in Austria from 2007 to 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical Dataset of Orange Beach Middlehigh School is provided by PublicSchoolReview and contain statistics on metrics:Distribution of Students By Grade Trends
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
Statistics illustrates the import volume of Oranges in Greenland from Jan 2019 to Jun 2025 by trade partner.
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
Statistics illustrates consumption, production, prices, and trade of Orange Juice in Holy See from 2007 to 2024.
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
Statistics illustrates consumption, production, prices, and trade of Oranges in Jamaica from Jan 2019 to Jun 2025.
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.
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
Statistics illustrates consumption, production, prices, and trade of Oranges in Azerbaijan from Jan 2019 to May 2025.
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.
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.
Financial overview and grant giving statistics of Orange Home Grown Foundation Inc.
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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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 Orange County Population by Gender. You can refer the same here