Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Orange household income by gender. The dataset can be utilized to understand the gender-based income distribution of Orange income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Orange income distribution 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
Context
The dataset tabulates the population of Orange by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Orange. The dataset can be utilized to understand the population distribution of Orange by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Orange. 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.
Key observations
Largest age group (population): Male # 35-39 years (5,711) | Female # 30-34 years (5,416). 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 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
This dataset tracks annual distribution of students across grade levels in South Orange Middle School
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Orange Juice Distribution in the US 2024 - 2028 Discover more data with ReportLinker!
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual distribution of students across grade levels in Orange Center School
This dataset provides the known distribution of Arundo (Arundo donax) in southern Orange County. The surveys were conducted from May to June, 2007 and were funded by the California Department of Fish and Game. There are four other datasets on invasive plants for this area delineating the distribution of pampas grass, Canary Island date palm, Mexican fan palm, and 12 other invasive species.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the median household income in Orange town. It can be utilized to understand the trend in median household income and to analyze the income distribution in Orange town by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Orange town median household income. 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 Orange median household income by race. The dataset can be utilized to understand the racial distribution of Orange income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Orange median household income by race. You can refer the same here
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Orange Juice Distribution in Brazil 2022 - 2026 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Orange Juice Distribution in Mexico 2022 - 2026 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Orange Juice Distribution in China 2022 - 2026 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Orange Juice Distribution in Turkey 2024 - 2028 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Several surveys were undertaken to carry out a depth-stratified random trawl survey for orange roughy in southeast Australian waters between Kangaroo Island, South Australia (137 degrees E), and East Tasmania (148 degrees E). Target depths were from 700 to 1200m.
This data has been republished (2022-08-29 with additional details of each occurrence where they can be one of three types: catch composition (counts per taxa and optional aggregated weights by trawl event), catch measurements (length and/or weight) of individual taxa and/or catch specimens and their stored location. The occurrence type is recorded in occurrenceremarks.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sources distribution - Orange in the news
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Orange population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Orange. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 89,064 (64.20% of the total population). 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 cohorts:
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 Age. 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
This bar chart displays news by keywords using the aggregation count. The data is filtered where the keywords includes Orange.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Orange Juice Distribution in Canada 2024 - 2028 Discover more data with ReportLinker!
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual distribution of students across grade levels in Orange School District and average distribution per school district in Connecticut
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the median household income in Orange. It can be utilized to understand the trend in median household income and to analyze the income distribution in Orange by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Orange median household income. You can refer the same here
Open NABIS ApplicationThe spring distribution of Orange Roughy is a scientific interpretation based on the best available information from published and unpublished sources.Lineage - Document describing the data source used, history of changes, background information about the given layer, and referencesCreator - National Institute of Water and Atmospheric ResearchPublisher - Ministry for Primary IndustriesContributor - Museum of New Zealand Te Papa TongarewaCustodian - Ministry for Primary IndustriesJurisdiction of Custodian - New ZealandRights - Crown Copyright Reserved.Subject - Spring fish distribution of Orange Roughy within the waters around New ZealandSource - Language - EnglishRelation - There are also layers depicting annual, summer, autumn and winter distributions for this speciesFunction - To ensure that fisheries are sustainably used within a healthy aquatic ecosystemLayer Type - biotaAudience - AllMandate - New Zealand Biodiversity StrategyProgress - CompletedMetadata - Compliant with NZGLS and ANZLICLayer InformationSpecies Common Name - Orange roughySpecies Scientific Name - Hoplosthethus atlanticus Collett 1889Species Maori Name - N/ASpecies Code - ORHEndangered Status - Not listedSeason - SpringHabitat Type - Demersal offshoreMinimum Depth - 600 mMaximum Depth - 1500 mAccuracyAlert Level - NoneWarnings and Problems - NonePositional Accuracy - 100 kmAttribute Accuracy - Attribute data has been checked against Ministry for Primary Industries guidelines and no significant problems are known.Logical Consistency - Logical consistency has been checked against Ministry for Primary Industries guidelines and no significant problems are known.Completeness - Completeness of the information layer has been checked against independent descriptions of the distribution of Orange Roughy and no significant problems are knownCertified/Refereed By - Malcolm Francis, National Institute of Water and Atmospheric ResearchCertification Date - 20/09/2010CoverageCoverage Name - New Zealand Exclusive Economic ZoneCoverage: Spatial Northern - 24.00° SCoverage: Spatial Southern - 58.00° SCoverage: Spatial Eastern - 167.00° WCoverage: Spatial Western - 157.00° ECoverage: Temporal Earliest - 22/01/1965Coverage: Temporal Latest - 30/09/2008Distribution Northern - 31.05° SDistribution Southern - 55.01° SDistribution Eastern - 167.00° WDistribution Western - 161.73° EMaintenanceLayer Date Received - 13/11/2003Layer Date Loaded - 21/11/2003Layer Date Renewed - 25/09/2012Metadata Date Received - 13/11/2003Metadata Date Loaded - 21/11/2003Metadata Date Renewed - 25/09/2012Maintenance and Update Frequency - asNeededApproved for Promotion By - Information Management, Ministry for Primary IndustriesApproved for Promotion Date - 20/11/2003
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Orange household income by gender. The dataset can be utilized to understand the gender-based income distribution of Orange income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Orange income distribution by gender. You can refer the same here