Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.

This statistic depicts the age distribution of India from 2013 to 2023. In 2023, about 25.06 percent of the Indian population fell into the 0-14 year category, 68.02 percent into the 15-64 age group and 6.92 percent were over 65 years of age. Age distribution in India India is one of the largest countries in the world and its population is constantly increasing. India’s society is categorized into a hierarchically organized caste system, encompassing certain rights and values for each caste. Indians are born into a caste, and those belonging to a lower echelon often face discrimination and hardship. The median age (which means that one half of the population is younger and the other one is older) of India’s population has been increasing constantly after a slump in the 1970s, and is expected to increase further over the next few years. However, in international comparison, it is fairly low; in other countries the average inhabitant is about 20 years older. But India seems to be on the rise, not only is it a member of the BRIC states – an association of emerging economies, the other members being Brazil, Russia and China –, life expectancy of Indians has also increased significantly over the past decade, which is an indicator of access to better health care and nutrition. Gender equality is still non-existant in India, even though most Indians believe that the quality of life is about equal for men and women in their country. India is patriarchal and women still often face forced marriages, domestic violence, dowry killings or rape. As of late, India has come to be considered one of the least safe places for women worldwide. Additionally, infanticide and selective abortion of female fetuses attribute to the inequality of women in India. It is believed that this has led to the fact that the vast majority of Indian children aged 0 to 6 years are male.

About this dataset

Context

The dataset tabulates the population of Shell Lake township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Shell Lake township. The dataset can be utilized to understand the population distribution of Shell Lake township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Shell Lake township. 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 Shell Lake township.

Key observations

Largest age group (population): Male # 65-69 years (26) | Female # 70-74 years (32). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

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

• Age Group: This column displays the age group for the Shell Lake township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Shell Lake township is shown in the following column.
• Population (Female): The female population in the Shell Lake township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Shell Lake township for each age group.

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 Shell Lake township Population by Gender. You can refer the same here

Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

About this dataset

Context

The dataset tabulates the population of Granite Falls township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Granite Falls township. The dataset can be utilized to understand the population distribution of Granite Falls township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Granite Falls township. 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 Granite Falls township.

Key observations

Largest age group (population): Male # 15-19 years (26) | Female # 15-19 years (32). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

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

• Age Group: This column displays the age group for the Granite Falls township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Granite Falls township is shown in the following column.
• Population (Female): The female population in the Granite Falls township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Granite Falls township for each age group.

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 Granite Falls township Population by Gender. You can refer the same here

As of April 2025, almost 32 percent of global Instagram audiences were aged between 25 and 34 years, and 29.5 percent of users were aged between 25 and 34 years. Overall, 16.3 percent of users belonged to the 35 to 44 year age group. Instagram users With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 413.85 million and 171.7 million Instagram users each. Instagram features One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature. As of the first quarter of 2025, Snapchat had 460 million daily active users.

Total, Age 0, Age 1, Age 2, Age 3, Age 4, Age 5, Age 6, Age 7, Age 8, Age 9, Age 10, Age 11, Age 12, Age 13, Age 14, Age 15, Age 16, Age 17, Age 18, Age 19, Age 20, Age 21, Age 22, Age 23, Age 24, Age 25, Age 26, Age 27, Age 28, Age 29, Age 30, Age 31, Age 32, Age 33, Age 34, Age 35, Age 36, Age 37, Age 38, Age 39, Age 40, Age 41, Age 42, Age 43, Age 44, Age 45, Age 46, Age 47, Age 48, Age 49, Age 50, Age 51, Age 52, Age 53, Age 54, Age 55, Age 56, Age 57, Age 58, Age 59, Age 60, Age 61, Age 62, Age 63, Age 64, Age 65, Age 66, Age 67, Age 68, Age 69, Age 70, Age 71, Age 72, Age 73, Age 74, Age 75, Age 76, Age 77, Age 78, Age 79, Age 80, Age 81, Age 82, Age 83, Age 84, Age 85 and over

About this dataset

Context

The dataset tabulates the population of Huron township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Huron township. The dataset can be utilized to understand the population distribution of Huron township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Huron township. 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 Huron township.

Key observations

Largest age group (population): Male # 65-69 years (32) | Female # 60-64 years (26). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

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

• Age Group: This column displays the age group for the Huron township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Huron township is shown in the following column.
• Population (Female): The female population in the Huron township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Huron township for each age group.

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 Huron township Population by Gender. You can refer the same here

1-bis-unter-2-jahre 10-bis-unter-11-jahre 11-bis-unter-12-jahre 12-bis-unter-13-jahre 13-bis-unter-14-jahre 14-bis-unter-15-jahre 15-bis-unter-16-jahre 16-bis-unter-17-jahre 17-bis-unter-18-jahre 18-bis-unter-19-jahre 19-bis-unter-20-jahre 2-bis-unter-3-jahre 20-bis-unter-21-jahre 21-bis-unter-22-jahre 22-bis-unter-23-jahre 23-bis-unter-24-jahre 24-bis-unter-25-jahre 25-bis-unter-26-jahre 26-bis-unter-27-jahre 27-bis-unter-28-jahre 28-bis-unter-29-jahre 29-bis-unter-30-jahre 3-bis-unter-4-jahre 30-bis-unter-31-jahre 31-bis-unter-32-jahre 32-bis-unter-33-jahre 33-bis-unter-34-jahre 34-bis-unter-35-jahre 35-bis-unter-36-jahre 36-bis-unter-37-jahre 37-bis-unter-38-jahre 38-bis-unter-39-jahre 39-bis-unter-40-jahre 4-bis-unter-5-jahre 40-bis-unter-41-jahre 41-bis-unter-42-jahre 42-bis-unter-43-jahre 43-bis-unter-44-jahre 44-bis-unter-45-jahre 45-bis-unter-46-jahre 46-bis-unter-47-jahre 47-bis-unter-48-jahre 48-bis-unter-49-jahre 49-bis-unter-50-jahre 5-bis-unter-6-jahre 50-bis-unter-51-jahre 51-bis-unter-52-jahre 52-bis-unter-53-jahre 53-bis-unter-54-jahre 54-bis-unter-55-jahre 55-bis-unter-56-jahre 56-bis-unter-57-jahre 57-bis-unter-58-jahre 58-bis-unter-59-jahre 59-bis-unter-60-jahre 6-bis-unter-7-jahre 60-bis-unter-61-jahre 61-bis-unter-62-jahre 62-bis-unter-63-jahre 63-bis-unter-64-jahre 64-bis-unter-65-jahre 65-bis-unter-66-jahre 66-bis-unter-67-jahre 67-bis-unter-68-jahre 68-bis-unter-69-jahre 69-bis-unter-70-jahre 7-bis-unter-8-jahre 70-bis-unter-71-jahre 71-bis-unter-72-jahre 72-bis-unter-73-jahre 73-bis-unter-74-jahre 74-bis-unter-75-jahre 75-bis-unter-80-jahre 8-bis-unter-9-jahre 80-bis-unter-85-jahre 85-jahre-und-mehr 9-bis-unter-10-jahre altersjahre-unter-1-bis-75-altersgruppen bevo_lkerungsstand fortschreibung-des-bevo_lkerungsstandes geschlecht kreise-und-kreisfreie-sta_dte ma_nnlich stichtag unter-1-jahr weiblich

ObjectiveTo evaluate the sensory impacts of COVID-19 infection among wine professionals, and consequences on personal and professional well-being. Our goal was to better understand these effects on an occupational cohort who relies heavily on intact sensory function.DesignThe study employs an explanatory sequential mixed methods design comprising of two distinct phases: 1) a cross-sectional survey, followed by 2) qualitative interviews with a subsample of survey respondents.SettingWine professionals were recruited at the global level, excluding locations where Instagram is restricted or banned.ParticipantsWine professionals (n=128) (ages ≥ 19 years) infected with COVID-19 and experienced sensory impacts were included in the study analysis. Eleven participants completed qualitative interviews.InterventionsNone.Main outcome measuresSymptom profiles, details of taste and smell impact on personal and professional well-being. Effects on specific wine tasting attributes were also evaluated.ResultsInfected participants reported typical COVID-19 symptoms. The most frequent first noticed symptoms were sore throat (21.09%; 27/128), loss of taste or smell (19.53%; 25/128), fever (17.19%; 22/128) and cough (16.41%; 21/128). For those infected and sensory affected, the extent of taste and smell loss was most reported as severe in the majority of cases. The duration of taste and smell loss was resolved within 4 weeks for most participants. A vast proportion of participants reported an impact on their involvement in the wine profession, with the impact severity ranging from significant (20.31%; 26/128), somewhat (57.03%; 73/128), and not at all (22.66%; 29/128). Additionally, participants predominately reported having some impact on their overall quality of life, which was characterized as severe (7.14%; 9/126), moderate (37.30%; 47/126), mild (30.16%; 38/126), and none (25.40%; 32/126).ConclusionWine professionals infected with COVID-19 and who experienced sensory alterations reported concerns about their professional and personal well-being with worries about a potential changing life narrative from losing vital sensory attributes. Policies to provide further resources, including therapeutics, for these professionals and others who suffer from sensory dysfunction are warranted.

0-an_os 0-years-old 1-an_o 1-year-old 10-an_os 10-years-of-age 100-an_os-y-ma_s 100-years-old-and-over 11-an_os 11-years-of-age 12-an_os 12-years-of-age 13-an_os 13-years-of-age 14-an_os 14-years-of-age 15-an_os 15-years-of-age 16-an_os 16-years-old 17-an_os 17-years-old 18-an_os 18-years-old 19-an_os 19-years-old 2-an_os 2-years-old 20-an_os 20-years 21-an_os 21-years-old 22-an_os 22-years-old 23-an_os 23-years-old 24-an_os 24-years-old 25-an_os 25-years-old 26-an_os 26-years-old 27-an_os 27-years-old 28-an_os 28-years-old 29-an_os 29-years-old 3-an_os 3-years-old 30-an_os 30-years-old 31-an_os 31-years-old 32-an_os 32-years-old 33-an_os 33-years-old 34-an_os 34-years-old 35-an_os 35-years-old 36-an_os 36-years-old 37-an_os 37-years-old 38-an_os 38-years-old 39-an_os 39-years-old 4-an_os 4-years-old 40-an_os 40-years-old 41-an_os 41-years-old 42-an_os 42-years-old 43-an_os 43-years-old 44-an_os 44-years-old 45-an_os 45-years-old 46-an_os 46-years-old 47-an_os 47-years-old 48-an_os 48-years-old 49-an_os 49-years-old 5-an_os 5-years-old 50-an_os 50-years-old 51-an_os 51-years-old 52-an_os 52-years-old 53-an_os 53-years-old 54-an_os 54-years-old 55-an_os 55-years-old 56-an_os 56-years-old 57-an_os 57-years-old 58-an_os 58-years-old 59-an_os 59-years-old 6-an_os 6-years-old 60-an_os 60-years-old 61-an_os 61-years-old 62-an_os 62-years-old 63-an_os 63-years-old 64-an_os 64-years-old 65-an_os 65-years-old 66-an_os 66-years-old 67-an_os 67-years-old 68-an_os 68-years-old 69-an_os 69-years-old 7-an_os 7-years-old 70-an_os 70-years-old 71-an_os 71-years-old 72-an_os 72-years-old 73-an_os 73-years-old 74-an_os 74-years-old 75-an_os 75-years-old 76-an_os 76-years-old 77-an_os 77-years-old 78-an_os 78-years-old 79-an_os 79-years-old 8-an_os 8-years-old 80-an_os 80-years-old 81-an_os 81-years-old 82-an_os 82-years-old 83-an_os 83-years-old 84-an_os 84-years-old 85-an_os 85-years-old 86-an_os 86-years-old 87-an_os 87-years-old 88-an_os 88-years-old 89-an_os 89-years-old 9-an_os 9-years-old 90-an_os 90-years-old 91-an_os 91-years-old 92-an_os 92-years-old 93-an_os 93-years-old 94-an_os 94-years-old 95-an_os 95-years-old 96-an_os 96-years-old 97-an_os 97-years-old 98-an_os 98-years-old 99-an_os 99-years-old age-_year-by-year_ ambos-sexos an_o both-sexes communities comunidades continuous-register-statistics edad-_an_o-a-an_o_ espan_oles espan_oles-extranjeros estadi_stica-del-padro_n-continuo estadi_sticas extranjeros females foreigners hombres males mujeres sex sexo spaniards spaniards-foreigners statistics total total-ages total-edades year

A survey conducted between January and June 2023, more than ** percent of the audience of YouTube influencers across India was aged between 26 and 32 years. Some beauty influencers with the highest engagement rates on YouTube were Susmita, and Saina Sekhri during the examined period.

About this dataset

Context

The dataset tabulates the population of Great Bend township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Great Bend township. The dataset can be utilized to understand the population distribution of Great Bend township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Great Bend township. 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 Great Bend township.

Key observations

Largest age group (population): Male # 10-14 years (26) | Female # 5-9 years (32). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

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

• Age Group: This column displays the age group for the Great Bend township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Great Bend township is shown in the following column.
• Population (Female): The female population in the Great Bend township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Great Bend township for each age group.

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 Great Bend township Population by Gender. You can refer the same here

As of June 2023, Gen Z or those between the ages of 19 to 25 years old, made up the biggest cohort of YouTube users in Indonesia, with around ** percent. This was followed by Millennials, between the ages of 26 to 32 years, with around ** percent.

About this dataset

Context

The dataset tabulates the population of Popple township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Popple township. The dataset can be utilized to understand the population distribution of Popple township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Popple township. 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 Popple township.

Key observations

Largest age group (population): Male # 65-69 years (26) | Female # 5-9 years (32). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

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

• Age Group: This column displays the age group for the Popple township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Popple township is shown in the following column.
• Population (Female): The female population in the Popple township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Popple township for each age group.

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 Popple township Population by Gender. You can refer the same here

Normal total testosterone ranges by age group, compiled from clinical reference standards cited in the article.

Chart displaying normal blood pressure values for different age groups and genders.

Study variables by survey and age band.