The median combined loan to value (CLTV) ratio for conventional conforming loans generally declined between the first quarter of 2019 and the fourth quarter of 2021 then significantly increased until the third quarter of 2022 across all race groups in the United States. Asian and White mortgage applicants had, on average, lower CLTV ratios than Black and Hispanic applicants, meaning that the combined total debt on Asian and White owned property was a smaller share of the total value of their property.

The median age in India was 27 years old in 2020, meaning half the population was older than that, half younger. This figure was lowest in 1970, at 18.1 years, and was projected to increase to 47.8 years old by 2100. Aging in India India has the second largest population in the world, after China. Because of the significant population growth of the past years, the age distribution remains skewed in favor of the younger age bracket. This tells a story of rapid population growth, but also of a lower life expectancy. Economic effects of a young population Many young people means that the Indian economy must support a large number of students, who demand education from the economy but cannot yet work. Educating the future workforce will be important, because the economy is growing as well and is one of the largest in the world. Failing to do this could lead to high youth unemployment and political consequences. However, a productive and young workforce could provide huge economic returns for India.

In 2023, the median age of the population of the United States was 39.2 years. While this may seem quite young, the median age in 1960 was even younger, at 29.5 years. The aging population in the United States means that society is going to have to find a way to adapt to the larger numbers of older people. Everything from Social Security to employment to the age of retirement will have to change if the population is expected to age more while having fewer children. The world is getting older It’s not only the United States that is facing this particular demographic dilemma. In 1950, the global median age was 23.6 years. This number is projected to increase to 41.9 years by the year 2100. This means that not only the U.S., but the rest of the world will also have to find ways to adapt to the aging population.

Deviations from the quantile means, by sex, of all samples pooled (0 on the y-axis of Figs 4 and 6) for snakes in the lower quantiles (“Low”, ~0.05–0.25), median quantiles (“Mid”, ~0.25–0.75), and higher quantiles (“High”, ~0.75–0.95). The symbol “–” indicates SVL values lower than the mean, “=“ indicates similar to the mean, “+” indicates SVL values higher than the mean. Significance of deviations can be determined from confidence intervals in Figs 4 and 6.

Data Simulation We simulate performance data for both women and men across three aspects of multitasking:

Task Switching Speed: The speed at which individuals can switch between tasks. Attention Allocation: The efficiency in distributing attention across multiple tasks. Task Completion Time: The time taken to complete tasks. For each aspect, performance data for women and men are generated using normal distributions with specified means and standard deviations:

Task Switching Speed: Women (mean = 0.8, std dev = 0.1), Men (mean = 0.6, std dev = 0.1) Attention Allocation: Women (mean = 0.8, std dev = 0.1), Men (mean = 0.6, std dev = 0.1) Task Completion Time: Women (mean = 10, std dev = 2), Men (mean = 12, std dev = 2) Summary Statistics Summary statistics for each aspect are calculated to provide insights into the central tendencies and variability of performance for both genders. These include the mean, median, and standard deviation.

Task Switching Speed:

Women: Mean = 0.808, Median = 0.822, Std Dev = 0.097 Men: Mean = 0.600, Median = 0.593, Std Dev = 0.100 Attention Allocation:

Women: Mean = 0.823, Median = 0.814, Std Dev = 0.101 Men: Mean = 0.607, Median = 0.613, Std Dev = 0.103 Task Completion Time:

Women: Mean = 10.135, Median = 10.153, Std Dev = 2.129 Men: Mean = 11.687, Median = 11.500, Std Dev = 1.806 These statistics are used to compare the performance of women and men, highlighting differences in their multitasking abilities.

Hypothesis Testing To determine if the observed differences in performance are statistically significant, t-tests are conducted for each aspect. The p-values obtained from these tests indicate the significance of the differences:

Task Switching Speed: p-value = 1.294e-17 Attention Allocation: p-value = 1.249e-17 Task Completion Time: p-value = 0.000183 A p-value less than 0.05 suggests that the differences are statistically significant, meaning that the observed performance differences between women and men are unlikely due to random chance.

Graphical Representations Histograms are created for each aspect to visualize the distribution of performance scores for women and men. These graphs provide a clear and intuitive understanding of the differences in multitasking performance.

Monaco is the country with the highest median age in the world. The population has a median age of around 57 years, which is around six years more than in Japan and Saint Pierre and Miquelon – the other countries that make up the top three. Southern European countries make up a large part of the top 20, with Italy, Slovenia, Greece, San Marino, Andorra, and Croatia all making the list. Low infant mortality means higher life expectancy Monaco and Japan also have the lowest infant mortality rates in the world, which contributes to the calculation of a higher life expectancy because fewer people are dying in the first years of life. Indeed, many of the nations with a high median age also feature on the list of countries with the highest average life expectancy, such as San Marino, Japan, Italy, and Lichtenstein. Demographics of islands and small countries Many smaller countries and island nations have populations with a high median age, such as Guernsey and the Isle of Man, which are both island territories within the British Isles. An explanation for this could be that younger people leave to seek work or education opportunities, while others choose to relocate there for retirement.