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Email Mailing Lists and Email Lists. 40K plus filters. Search using detailed Demographic criteria and Geographic information on ProMarketing Leads.
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The global directory mailing list and other publishers market size was valued at approximately USD 6.3 billion in 2023 and is projected to reach USD 9.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.1% from 2024 to 2032. This market's growth is primarily fueled by the increasing demand for targeted marketing and the growing sophistication of data analytics tools that allow for more precise audience segmentation and outreach strategies.
One of the key growth factors for the directory mailing list and other publishers market is the expanding digital landscape, which encourages businesses to invest in more innovative and effective marketing solutions. With the rising importance of data-driven marketing, companies are increasingly leveraging mailing lists and directories to reach their target audiences more efficiently. Moreover, advancements in technology, particularly in data analytics and big data, have enabled more personalized and effective marketing campaigns, driving further demand in this market segment.
Another critical driver for this market is the surge in digital transformation initiatives across various industries. As organizations continue to digitize their operations and customer interactions, the need for comprehensive and accurate mailing lists and directories has intensified. These tools provide essential data that helps companies understand their customer base better, optimize their marketing strategies, and ultimately drive sales growth. Additionally, the increasing reliance on e-commerce platforms has further necessitated robust directory and mailing list solutions to effectively reach and engage with online consumers.
The demand for directory mailing lists and other publishing services is also being bolstered by the need for compliance with various data protection regulations. As businesses strive to adhere to stringent data privacy laws such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), they require reliable and compliant sources of consumer and business data. This has led to a higher trust in and reliance on professional directory and mailing list providers who ensure data accuracy and legal compliance, thereby fostering market growth.
Regionally, North America holds a significant share of the global directory mailing list and other publishers market, driven by the high adoption rate of digital marketing solutions and advanced data analytics tools in the region. The presence of major technology firms and a mature digital ecosystem further supports market growth in North America. Meanwhile, the Asia Pacific region is expected to exhibit the highest growth rate over the forecast period, owing to the rapid digitalization of economies and increasing internet penetration. Countries like China and India, with their large consumer bases and burgeoning digital industries, are key contributors to this growth.
The product type segment of the directory mailing list and other publishers market can be categorized into business directories, consumer directories, and other publishers. Business directories are a crucial component of this market, providing essential information about businesses across various sectors. These directories are used extensively for B2B marketing, enabling companies to identify potential clients, partners, and suppliers. The demand for business directories is driven by the need for accurate and up-to-date business information, which is critical for effective networking and lead generation activities.
Consumer directories, on the other hand, cater to the B2C segment, offering valuable data about individual consumers. These directories are often used for targeted marketing campaigns, allowing businesses to reach specific demographics with tailored messages. The increasing emphasis on personalized marketing and the growing sophistication of data analytics tools have significantly boosted the demand for consumer directories. As businesses strive to improve customer engagement and conversion rates, comprehensive consumer directories have become indispensable.
Other publishers encompass a broad range of directory and mailing list providers that cater to niche markets and specialized industries. These publishers offer highly specific and detailed data that can be used for targeted marketing and research purposes. The growing need for industry-specific information and the trend towards hyper-targeted marketing strategies have fueled the deman
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Excel population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Excel. The dataset can be utilized to understand the population distribution of Excel by age. For example, using this dataset, we can identify the largest age group in Excel.
Key observations
The largest age group in Excel, AL was for the group of age 45 to 49 years years with a population of 74 (15.64%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Excel, AL was the 85 years and over years with a population of 2 (0.42%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
Age groups:
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 Excel 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
Context
The dataset tabulates the Sugar Land population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Sugar Land. The dataset can be utilized to understand the population distribution of Sugar Land by age. For example, using this dataset, we can identify the largest age group in Sugar Land.
Key observations
The largest age group in Sugar Land, TX was for the group of age 45 to 49 years years with a population of 8,784 (8%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Sugar Land, TX was the 85 years and over years with a population of 1,713 (1.56%). 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:
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 Sugar Land 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
Characteristics of apps included in a systematic review of apps providing information about abortion.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Barre town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Barre town. The dataset can be utilized to understand the population distribution of Barre town by age. For example, using this dataset, we can identify the largest age group in Barre town.
Key observations
The largest age group in Barre Town, Vermont was for the group of age 55 to 59 years years with a population of 751 (9.42%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Barre Town, Vermont was the 85 years and over years with a population of 129 (1.62%). 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:
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 Barre town 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
Context
The dataset tabulates the Paradise township population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Paradise township. The dataset can be utilized to understand the population distribution of Paradise township by age. For example, using this dataset, we can identify the largest age group in Paradise township.
Key observations
The largest age group in Paradise Township, Michigan was for the group of age 10 to 14 years years with a population of 547 (10.92%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Paradise Township, Michigan was the 75 to 79 years years with a population of 40 (0.80%). 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:
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 Paradise township 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
Context
The dataset tabulates the Carlton population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Carlton. The dataset can be utilized to understand the population distribution of Carlton by age. For example, using this dataset, we can identify the largest age group in Carlton.
Key observations
The largest age group in Carlton, GA was for the group of age 30 to 34 years years with a population of 100 (30.40%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Carlton, GA was the 80 to 84 years years with a population of 2 (0.61%). 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:
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 Carlton 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
Context
The dataset tabulates the population of Everly by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Everly. The dataset can be utilized to understand the population distribution of Everly by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Everly. 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 Everly.
Key observations
Largest age group (population): Male # 30-34 years (45) | Female # 0-4 years (47). 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 Everly 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
Context
The dataset tabulates the population of Cypress by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Cypress. The dataset can be utilized to understand the population distribution of Cypress by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Cypress. 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 Cypress.
Key observations
Largest age group (population): Male # 0-4 years (30) | Female # 40-44 years (25). 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 Cypress 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
Context
The dataset tabulates the population of Edwardsville by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Edwardsville. The dataset can be utilized to understand the population distribution of Edwardsville by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Edwardsville. 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 Edwardsville.
Key observations
Largest age group (population): Male # 20-24 years (1,745) | Female # 20-24 years (2,165). 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 Edwardsville 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
Context
The dataset tabulates the population of Berkley by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Berkley. The dataset can be utilized to understand the population distribution of Berkley by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Berkley. 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 Berkley.
Key observations
Largest age group (population): Male # 60-64 years (2) | Female # 55-59 years (1). 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 Berkley 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
Context
The dataset tabulates the population of Cross County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Cross County. The dataset can be utilized to understand the population distribution of Cross County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Cross 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 Cross County.
Key observations
Largest age group (population): Male # 40-44 years (720) | Female # 5-9 years (706). 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 Cross County 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
Context
The dataset tabulates the population of Burnettsville by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Burnettsville. The dataset can be utilized to understand the population distribution of Burnettsville by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Burnettsville. 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 Burnettsville.
Key observations
Largest age group (population): Male # 65-69 years (22) | Female # 5-9 years (26). 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 Burnettsville 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
Context
The dataset tabulates the population of Garden Prairie by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Garden Prairie. The dataset can be utilized to understand the population distribution of Garden Prairie by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Garden Prairie. 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 Garden Prairie.
Key observations
Largest age group (population): Male # 15-19 years (94) | Female # 45-49 years (60). 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 Garden Prairie 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
Context
The dataset tabulates the population of Connoquenessing by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Connoquenessing. The dataset can be utilized to understand the population distribution of Connoquenessing by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Connoquenessing. 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 Connoquenessing.
Key observations
Largest age group (population): Male # 35-39 years (45) | Female # 35-39 years (53). 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 Connoquenessing 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
Context
The dataset tabulates the population of Forest Hill by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Forest Hill. The dataset can be utilized to understand the population distribution of Forest Hill by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Forest Hill. 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 Forest Hill.
Key observations
Largest age group (population): Male # 15-19 years (776) | Female # 10-14 years (850). 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 Forest Hill 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
Context
The dataset tabulates the population of Centerville by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Centerville. The dataset can be utilized to understand the population distribution of Centerville by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Centerville. 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 Centerville.
Key observations
Largest age group (population): Male # 15-19 years (721) | Female # 30-34 years (722). 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 Centerville 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
Context
The dataset tabulates the population of Calexico by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Calexico. The dataset can be utilized to understand the population distribution of Calexico by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Calexico. 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 Calexico.
Key observations
Largest age group (population): Male # 15-19 years (1,821) | Female # 10-14 years (1,703). 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 Calexico 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
Context
The dataset tabulates the population of Fidelity by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Fidelity. The dataset can be utilized to understand the population distribution of Fidelity by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Fidelity. 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 Fidelity.
Key observations
Largest age group (population): Male # 10-14 years (16) | Female # 60-64 years (13). 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 Fidelity Population by Gender. You can refer the same here
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
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