In the United States, consumers aged over 65 represented the biggest demographic group (** percent) of Amazon Prime services, a survey from 2025 revealed. ** percent of Amazon Prime subscribers were 55 to 64 years old.

In the United Kingdom (UK), data from November 2024 based on geolocalized users showed that more than half of Amazon's mobile audience comprises people aged between 25 and 34. Younger adults from 18 to 24 years old account for the second-biggest group of mobile users in the UK, with nearly ** percent.

This statistic illustrates the share of people who shopped at Amazon in the United States in the last 12 months as of 2022. The results were sorted by age. In 2022, ** percent of respondents aged 18 to 29 years stated they shopped at Amazon in the last 12 months. The Statista Global Consumer Survey offers a global perspective on consumption and media usage, covering the offline und online world of the consumer.

According to the latest Amazon Prime statistics, about 81% of US internet users aged 18 to 34 have a paid Amazon Prime membership.

When comparing by age the products which will be purchased on Amazon Prime Day in 2022, one can see that the share of 18 to 34 year olds planning to make purchases is greater than the other two age groups listed for nearly every product category. For the older age groups, products for the home and other items not listed are the two product categories most likely to be purchased on Amazon Prime Day, while the youngest age group is more likely to buy makeup and skincare products.

Amazon Prime’s growth is what has been most impressive. They have managed to convert millions of customers into loyal subscribers at a very fast rate.

Amazon made $40.2 billion from memberships and subscriptions in 2023.

Amazon Prime’s global subscriber growth rate has accelerated over the last 5 years. Today Amazon currently has 200 million Amazon Prime members around the world.

Overall the US accounts for about 74% of all paying Amazon Prime accounts globally.

Amazon Prime was rolled out in India in July 2016 and within a year, India became its largest and fastest-growing market. As of **********, there were over ** million unique male visitors that accessed the platform via mobile devices. Out of this, a majority of visitors fell in the 25 to 34 year old age demographic, pointing out Amazon's popularity amongst young adults in the country.

A survey conducted among different age groups in the United States in 2024 showed the reasons why online shoppers opt for Amazon. Consumers aged 18-29 used Amazon mainly to get products quickly, while those aged 55-64 used it to get free shipping.

Amazon is one of the most recognisable brands in the world, and the third largest by revenue. It was the fourth tech company to reach a $1 trillion market cap, and a market leader in e-commerce,...

The x-axis is age and y-axis is the frequency count. This representative population sample of 202 subjects was collected within 8 days. The median age was 28 years and the mean age was 32 years (SD = 10.79). 57% of respondents were male (N = 115), while 43% of respondents were female (N = 87).

Abstract The aim of this study was to estimate the prevalence of stages of behavior change (SBC) for physical activity and to verify the associated demographic and economic factors, in adolescents from the Amazon. A total of 2.517 adolescents (aged 14-19 years) from public high schools participated of the study. SBC for physical activity, demographic (sex, age, school year, school shift and residence area) and economic factors (occupational status, family income and maternal schooling) were investigated. The associations between SBC and independent variables were tested by multinomial logistic regression. Most adolescents were in the maintenance stage (40.8%) and the minority was in pre-contemplation stage (9.0%). Female adolescents were more likely of being in the action (OR=1.44; CI95%=1.14-1.81), preparation (OR=2.71; CI95%=2.14-3.44), contemplation (OR=2.89; CI95%=2.25-3.69) and pre-contemplation (OR=2.91;CI 95%=2.16-4.00) stages compared to male adolescents. Adolescents aged 16-17 years were less likely of being in the action stage (OR=0.71; CI95%=0.53-0.94) and those aged 18-19 years were more likely of being in the preparation stage (OR=1.50; CI95%=1.04-2.16) compared to those aged 14-15 years. Family income of six minimum wages or more was associated to higher chances of being in the action (OR=2.09; CI95%=1.38-3.17), preparation (OR=2.02; CI95%=1.31- 3.12) and contemplation (OR=1.87; IC95%=1.18-2.95) stages. Adolescents who worked were less likely of being in the pre-contemplation stage (OR=0.45; CI95%=0.27-0.74), compared to those who do not work. Most of adolescents were in the maintenance stage for physical activity. The factors associated to SBC were female sex, age groups of 16-17 years and 18-19 years, income of six minimum wages or more and work.

Amazon Pay users in the United States made up ** percent of respondents in 2025, and were likely to come from a **** income. This is according to questions asked in Statista's Consumer Insights, focusing on what payment services consumers used in the past 12 months. The typical user profile of an Amazon Pay user in the United States was that they were ****, were ******** years old, and fell in the ******* quantile in terms of income.

Epidemiological characteristics of patients diagnosed with ALL and AML in the Amazonas State.

Patterns of habitat use directly influence a species’ fitness, yet for many species an individual’s age can influence patterns of habitat use. However, in tropical rainforests, which host the greatest terrestrial species diversity, little is known about how age classes of different species use different adjacent habitats of varying quality. We use long term mistnet data from the Amazon rainforest to assess patterns of habitat use among adult, adolescent (teenage), and young understory birds in forest fragments, primary, and secondary forest at the Biological Dynamics of Forest Fragments Project in Brazil. Insectivore adults were most common in primary forest, adolescents were equally likely in primary and secondary forest, and all ages were the least common in forest fragments. In contrast to insectivores, frugivores and omnivores showed no differences among all three habitat types. Our results illustrate potential ideal despotic distributions among breeding populations of some guilds o..., , , # Habitat use of Amazonian birds varies by age and foraging guild along a disturbance gradient

Cite this dataset: Luther, David 2024. Habitat use of Amazonian birds varies by age and foraging guild along a disturbance gradient [Dataset]. Dryad. https://doi.org/10.5061/dryad.8kprr4xvw

Title: Habitat use of Amazonian birds varies by age and foraging guild along a disturbance gradient

Abstract: Patterns of habitat use directly influence a species’ fitness, yet for many species an individual’s age can influence patterns of habitat use. However, in tropical rainforests, which host the greatest terrestrial species diversity, little is known about how age classes of different species use different adjacent habitats of varying quality. We use long term mistnet data from the Amazon rainforest to assess patterns of habitat use among adult, adolescent (teenage), and young understory birds in forest fragments, primary, and secondary forest a...

This statistic illustrates the weekly reach of Amazon Prime Music, in the United States as of July 2018, broken down by age group. During the survey, it was found that Amazon Prime Music reached ** percent of respondents aged 16 to 19, and ***** percent of respondents aged between 25 and 34 years old.

Logistic regression with univariable and multivariable of comorbidities and epidemiological characteristics in ALL and AML patients.

These datasets contain 1.48 million question and answer pairs about products from Amazon.

Metadata includes

• question and answer text

• is the question binary (yes/no), and if so does it have a yes/no answer?

• timestamps

• product ID (to reference the review dataset)

Basic Statistics:

• Questions: 1.48 million

• Answers: 4,019,744

• Labeled yes/no questions: 309,419

• Number of unique products with questions: 191,185