Mobile banking increased in popularity in recent years, with more and more bank customers using mobile banking as their primary method to access their bank accounts. In the United States, the share of banked households using mobile banking as their primary access method reached 43.5 percent in 2021. When looking at mobile banking usage among different age groups, younger households used mobile banking more than older ones. Approximately 74.1 percent of banked households whose reference person was between 15 and 24 year old were using mobile banking as their primary method to access bank accounts, compared to only eight percent of households aged 15.3 years and older.
As of 2024, people between 25 and 34 years of age had the highest penetration of online banking in Portugal, as 88 percent of people in the age group used this service. People between 65 and 74 years, with a share of 47 percent, were the least drawn to online banking.
This statistic shows Share of teenagers who use online banking in the Netherlands in 2016, by age group. In 2016, approximately 45 percent of the 12 year olds used online banking through a website or with an app.
The statistic depicts the digital banking usage in Germany as of June 2014, by age group. It was found that 70 percent of the surveyed internet users from the 14-29 age group handled their bank accounts online.
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Context
The dataset tabulates the Banks 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 Banks. The dataset can be utilized to understand the population distribution of Banks by age. For example, using this dataset, we can identify the largest age group in Banks.
Key observations
The largest age group in Banks, OR was for the group of age 35-39 years with a population of 217 (10.43%), according to the 2021 American Community Survey. At the same time, the smallest age group in Banks, OR was the 80-84 years with a population of 0 (0.00%). 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:
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 Banks Population by Age. You can refer the same here
As of February 2024, over a third of online users worldwide were aged between 25 and 34 years. Website visitors in this age bracket constituted the biggest group of online users worldwide. Also, 19 percent of global online users were aged 18 to 24 years. The global digital population aged 65 or older represented approximately 4.2 percent of all internet users worldwide. Social media usage and Meta Social media is a major driver of internet use, with a global penetration rate of 62.2 percent. On average, internet users spend 143 minutes per day on social media, highlighting its significant impact on daily online activities. The usage of social media is mostly dominated by Meta platforms, which own four of the largest social media platforms. Facebook leads the ranking with over three billion active users, followed by Instagram and WhatsApp. Instagram's global popularity Meta’s social video platform, Instagram, had long been one of the most engaging social media platforms worldwide, and it was projected to reach 1.44 billion monthly active users. Instagram was particularly favored by users aged 18 to 34, thanks to its ability to offer a variety of interactive content, from images and carousels. This diverse range of content types was a key factor in its popularity among its young user base.
Between 2015 and 2022, the generation with the highest mobile banking adoption in the United States was millennials, followed by Gen X. In 2022, 62.3 million individuals born between 1981 and 1996 were active mobile banking users, and this number is expected to grow even further in the coming years. The sharpest increase in mobile banking adoption, however, is expected from Gen Z. Mobile banking adoption for individuals born between 1997 and 2012 is forecast to reach 33.7 million in 2023 and 47.8 million in 2026.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Red Bank 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 Red Bank. The dataset can be utilized to understand the population distribution of Red Bank by age. For example, using this dataset, we can identify the largest age group in Red Bank.
Key observations
The largest age group in Red Bank, NJ was for the group of age 35 to 39 years years with a population of 1,223 (9.51%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Red Bank, NJ was the 80 to 84 years years with a population of 293 (2.28%). 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 Red Bank Population by Age. You can refer the same here
Table from the American Community Survey (ACS) 5-year series on age and gender related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B01001 Sex by Age, B01002 Median Age by Sex. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B01001, B01002Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estima
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Banks, OR population pyramid, which represents the Banks population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
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 Banks Population by Age. You can refer the same here
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Internet use in the UK annual estimates by age, sex, disability, ethnic group, economic activity and geographical location, including confidence intervals.
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United States US: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data was reported at 93.137 % in 2015. This records an increase from the previous number of 92.551 % for 2014. United States US: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data is updated yearly, averaging 94.128 % from Dec 1986 (Median) to 2015, with 25 observations. The data reached an all-time high of 98.628 % in 1991 and a record low of 91.823 % in 2004. United States US: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Education Statistics. Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).
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Trinidad and Tobago TT: Net Intake Rate in Grade 1: % of Official School-Age Population data was reported at 73.318 % in 2010. This records an increase from the previous number of 72.395 % for 2009. Trinidad and Tobago TT: Net Intake Rate in Grade 1: % of Official School-Age Population data is updated yearly, averaging 66.567 % from Dec 1999 (Median) to 2010, with 8 observations. The data reached an all-time high of 73.318 % in 2010 and a record low of 62.439 % in 2004. Trinidad and Tobago TT: Net Intake Rate in Grade 1: % of Official School-Age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank: Education Statistics. Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Banks 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 Banks township. The dataset can be utilized to understand the population distribution of Banks township by age. For example, using this dataset, we can identify the largest age group in Banks township.
Key observations
The largest age group in Banks township, Indiana County, Pennsylvania was for the group of age 20-24 years with a population of 215 (18.61%), according to the 2021 American Community Survey. At the same time, the smallest age group in Banks township, Indiana County, Pennsylvania was the 75-79 years with a population of 14 (1.21%). 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:
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 Banks 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 Sweet Home 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 Sweet Home. The dataset can be utilized to understand the population distribution of Sweet Home by age. For example, using this dataset, we can identify the largest age group in Sweet Home.
Key observations
The largest age group in Sweet Home, OR was for the group of age 55 to 59 years years with a population of 872 (8.74%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Sweet Home, OR was the 80 to 84 years years with a population of 194 (1.94%). 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 Sweet Home Population by Age. You can refer the same here
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Norway NO: Adjusted Net Enrollment Rate: Primary: Female: % of Primary School Age Children data was reported at 99.691 % in 2016. This records an increase from the previous number of 99.620 % for 2015. Norway NO: Adjusted Net Enrollment Rate: Primary: Female: % of Primary School Age Children data is updated yearly, averaging 99.284 % from Dec 1976 (Median) to 2016, with 37 observations. The data reached an all-time high of 99.990 % in 1976 and a record low of 84.340 % in 1997. Norway NO: Adjusted Net Enrollment Rate: Primary: Female: % of Primary School Age Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank.WDI: Education Statistics. Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).
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License information was derived automatically
Azerbaijan Net Intake Rate in Grade 1: Male: % of Official School-Age Population data was reported at 74.757 % in 2018. This records an increase from the previous number of 73.790 % for 2015. Azerbaijan Net Intake Rate in Grade 1: Male: % of Official School-Age Population data is updated yearly, averaging 72.420 % from Dec 1998 (Median) to 2018, with 17 observations. The data reached an all-time high of 84.993 % in 1999 and a record low of 64.419 % in 2003. Azerbaijan Net Intake Rate in Grade 1: Male: % of Official School-Age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Azerbaijan – Table AZ.World Bank.WDI: Social: Education Statistics. Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.;UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.;Weighted average;
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License information was derived automatically
Guatemala GT: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data was reported at 87.006 % in 2016. This records a decrease from the previous number of 87.594 % for 2015. Guatemala GT: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data is updated yearly, averaging 87.006 % from Dec 1970 (Median) to 2016, with 27 observations. The data reached an all-time high of 98.160 % in 2009 and a record low of 49.522 % in 1970. Guatemala GT: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: Education Statistics. Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Clay Banks 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 Clay Banks town. The dataset can be utilized to understand the population distribution of Clay Banks town by age. For example, using this dataset, we can identify the largest age group in Clay Banks town.
Key observations
The largest age group in Clay Banks, Wisconsin was for the group of age 65-69 years with a population of 79 (19.46%), according to the 2021 American Community Survey. At the same time, the smallest age group in Clay Banks, Wisconsin was the 25-29 years with a population of 6 (1.48%). 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:
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 Clay Banks town Population by Age. You can refer the same here
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License information was derived automatically
Brazil BR: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data was reported at 96.670 % in 2015. This records a decrease from the previous number of 97.268 % for 2014. Brazil BR: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data is updated yearly, averaging 96.749 % from Dec 2004 (Median) to 2015, with 8 observations. The data reached an all-time high of 97.863 % in 2012 and a record low of 91.316 % in 2007. Brazil BR: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Education Statistics. Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.;UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.;Weighted average;
Mobile banking increased in popularity in recent years, with more and more bank customers using mobile banking as their primary method to access their bank accounts. In the United States, the share of banked households using mobile banking as their primary access method reached 43.5 percent in 2021. When looking at mobile banking usage among different age groups, younger households used mobile banking more than older ones. Approximately 74.1 percent of banked households whose reference person was between 15 and 24 year old were using mobile banking as their primary method to access bank accounts, compared to only eight percent of households aged 15.3 years and older.