Curious about age demographics of your clientele in The Netherlands? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of The Netherlands. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

About this dataset

Context

The dataset tabulates the United States 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 United States. The dataset can be utilized to understand the population distribution of United States by age. For example, using this dataset, we can identify the largest age group in United States.

Key observations

The largest age group in United States was for the group of age 25-29 years with a population of 22,854,328 (6.93%), according to the 2021 American Community Survey. At the same time, the smallest age group in United States was the 80-84 years with a population of 5,932,196 (1.80%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the United States is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of United States total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for United States Population by Age. You can refer the same here

Curious about age demographics of your clientele in France? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of France. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

Curious about age demographics of your clientele in Germany? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Germany. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

This table contains forecast figures about the population of the Netherlands by sex, age, ethnic group and generation on 1 January. Data available: 2013-2060 Status of the figures: The figures in this table are calculated forecast figures. Changes as of December 13, 2012. In this new table, the previous forecast has been adjusted based on the most recent insights, the forecast period now runs from 2012 to 2060. Changes as of December 16, 2014. Discontinued. When will new numbers come out? In December 2014, the new forecast figures will be published in a new table.

Curious about age demographics of your clientele in Austria? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Austria. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

Members of private households by native and foreign-origin, sex, age group, county and number of generations in household, 31 december 2011.

Analysis of ‘Youth and old age quotient by district-free cities and districts’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/a4c1412b-14b3-5319-80d8-c14d462414b6 on 18 January 2022.

--- Dataset description provided by original source is as follows ---

Definition: In order to illustrate the long-term demographic change and the associated changes in the age structure of the population, the ratio of certain age groups is shown. The youth ratio compares the generation of children and adolescents, which are mostly in the education and training phase, with the middle generation, which is predominantly in employment. For the generation of children and adolescents the age limit “under 20 years” is chosen and for the middle generation the age limit “20 to under 65 years” is chosen. The old-age dependency ratio compares the older generation, who have left the labour force, to the middle generation. For the older generation, the age limit “from 65 years” is chosen.

Data source:
It.NRW, update of population

--- Original source retains full ownership of the source dataset ---

This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.

The S3 dataset contains the behavior (sensors, statistics of applications, and voice) of 21 volunteers interacting with their smartphones for more than 60 days. The type of users is diverse, males and females in the age range from 18 until 70 have been considered in the dataset generation. The wide range of age is a key aspect, due to the impact of age in terms of smartphone usage. To generate the dataset the volunteers installed a prototype of the smartphone application in on their Android mobile phones.
All attributes of the different kinds of data are writed in a vector. The dataset contains the fellow vectors:
Sensors:
This type of vector contains data belonging to smartphone sensors (accelerometer and gyroscope) that has been acquired in a given windows of time. Each vector is obtained every 20 seconds, and the monitored features are:- Average of accelerometer and gyroscope values.- Maximum and minimum of accelerometer and gyroscope values.- Variance of accelerometer and gyroscope values.- Peak-to-peak (max-min) of X, Y, Z coordinates.- Magnitude for gyroscope and accelerometer.

Statistics:
These vectors contain data about the different applications used by the user recently. Each vector of statistics is calculated every 60 seconds and contains : - Foreground application counters (number of different and total apps) for the last minute and the last day.- Most common app ID and the number of usages in the last minute and the last day. - ID of the currently active app. - ID of the last active app prior to the current one.- ID of the application most frequently utilized prior to the current application. - Bytes transmitted and received through the network interfaces.

Voice:
This kind of vector is generated when the microphone is active in a call o voice note. The speaker vector is an embedding, extracted from the audio, and it contains information about the user's identity. This vector, is usually named "x-vector" in the Speaker Recognition field, and it is calculated following the steps detailed in "egs/sitw/v2" for the Kaldi library, with the models available for the extraction of the embedding.


A summary of the details of the collected database.
- Users: 21 - Sensors vectors: 417.128 - Statistics app's usage vectors: 151.034 - Speaker vectors: 2.720 - Call recordings: 629 - Voice messages: 2.091

The Montgomery County Government has a diverse workforce of employees that cross five generations and multiple age, race, gender and ethnic groups. The dataset is a summary of the County's turnover percentage by generational category, age, race, ethnicity, gender and job class. (Turnover percentage is calculated using only full time-regular and part time-regular employees. Full time-temporary and part time-temporary employees are excluded for turnover calculation). Data covers 1/1 to 12/31 of the previous calendar year. (Other = Employees who identify as American Indian/Alaskan Native or Native Hawaiian/Pacific Islander) Update Frequency : Annually

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

The Montgomery County Government has a diverse workforce of employees that cross five generations and multiple age, race, gender and ethnic groups. The dataset is a summary of the County's size and composition by generational category, age, race, ethnicity, gender, years of service and job class. Update Frequency : Annually

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

The Distributional Financial Accounts (DFAs) provide a quarterly measure of the distribution of U.S. household wealth since 1989, based on a comprehensive integration of disaggregated household-level wealth data with official aggregate wealth measures. The data set contains the level and share of each balance sheet item on the Financial Accounts' household wealth table (Table B.101.h), for various sub-populations in the United States. In our core data set, aggregate household wealth is allocated to each of four percentile groups of wealth: the top 1 percent, the next 9 percent (i.e., 90th to 99th percentile), the next 40 percent (50th to 90th percentile), and the bottom half (below the 50th percentile). Additionally, the data set contains the level and share of aggregate household wealth by income, age, generation, education, and race. The quarterly frequency makes the data useful for studying the business cycle dynamics of wealth concentration--which are typically difficult to observe in lower-frequency data because peaks and troughs often fall between times of measurement. These data will be updated about 10 or 11 weeks after the end of each quarter, making them a timely measure of the distribution of wealth.

Curious about age demographics of your clientele in Finland? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Finland. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.

Curious about age demographics of your clientele in Sweden? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Sweden. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

Projected population (in thousands) by racialized group, generation status, age group, sex, census metropolitan area of residence, provinces and territories of residence, Canada, 2016 (observed) and 2017 to 2041 (projected according to eleven scenarios).