About this dataset

Context

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

Key observations

Largest age group (population): Male # 40-44 years (154) | Female # 0-4 years (183). 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 England population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the England is shown in the following column.
• Population (Female): The female population in the England 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 England 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 England Population by Gender. You can refer the same here

In 2024, the population of the United Kingdom was around **** million, with approximately **** million women and **** million men. Since 1953, the male population of the UK has grown by around *** million, while the female population has increased by approximately **** million. Throughout this provided time period, the female population of the UK has consistently outnumbered the male population. UK population one of the largest in Europe As of 2024, the population of the United Kingdom was the largest it has ever been, and with growth expected to continue, the forecasted population of the United Kingdom is expected to reach over ** million by the 2030s. Despite the relatively small size of its territory, the UK has one of the largest populations among European countries, slightly larger than France but smaller than Russia and Germany. As of 2024, the population density of the UK was approximately *** people per square kilometer, with London by far the most densely populated area, and Scotland the most sparsely populated. Dominance of London As seen in the data regarding population density, the population of the United Kingdom is not evenly distributed across the country. Within England, London has a population of over **** million, making it significantly bigger than the next largest cities of Birmingham and Manchester. As of 2024, Scotland's largest city, Glasgow had a population of around *** million, with the largest cities in Northern Ireland, and Wales being Belfast and Cardiff, which had populations of around ******* and ******* respectively.

The Second World War severely altered the demographic composition of many countries, particularly in terms of gender ratios across certain age groups. For age groups below 14 years, there is little observable impact of the war on gender ratios, however, some countries see a drastic change across older generations, particularly in the Soviet Union. For men in their twenties (i.e. those in their late-teens or early-twenties when the war began), the ratio drops from 98 men per 100 women in the 15-19 age group, to 68 men per 100 women in the 25-29 group.

In addition to the Second World War, these figures are affected by trends in nature and other historical events. For example, women tend to have higher overall life expectancies than men, which typically sees gender ratios widen among older generations. The impact of the First World War is also most-observable in France's gender ratios for those aged in their fifties. Additionally, the gap in ratios remains high for the Soviet Union across older age groups due to the impact of the First World War and the famine of the early 1930s, however the figures for Russia itself are even lower as it was disproportionately affected by the Russian Revolution and famine of the 1920s.

United Kingdom UK: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.051 Ratio in 2016. This stayed constant from the previous number of 1.051 Ratio for 2015. United Kingdom UK: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.051 Ratio from Dec 1962 (Median) to 2016, with 20 observations. The data reached an all-time high of 1.051 Ratio in 2016 and a record low of 1.051 Ratio in 2016. United Kingdom UK: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

In Autumn 2024, among the students enrolled in the highest ranked university in the world, Oxford in the United Kingdom, 51 percent were female. See here for an overview of the highest-ranked universities in the world.

United Kingdom UK: Population: as % of Total: Female: Aged 65 and Above data was reported at 19.866 % in 2017. This records an increase from the previous number of 19.721 % for 2016. United Kingdom UK: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 17.961 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 19.866 % in 2017 and a record low of 13.977 % in 1960. United Kingdom UK: Population: as % of Total: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

From the early 1980s the proportion of male births in China has risen sharply with an average of 120 male births for every 100 female. These unprecedented sex ratio imbalances are now affecting the reproductive age groups, with 20 million excess men of reproductive age by 2020. Yet almost no empirical studies exist which explore this phenomenon, so the consequences of this huge surplus of excess men remains unknown. The overall objective of the study was to explore, through comparisons of urban and rural settings in three provinces, the demographic, social and psychological consequences of high sex ratios on (a) young men, (b) young women and (c) society more generally.

The specific objectives were:

• to compare key socio-demographic indicators for areas with differing sex ratios;
• to explore and understand the experiences of young men and women living in environments with different sex ratios and their perceptions, if any, of the impact of excess males on society;
• to explore the psychological and social impact of the sex ratio for partnered and unpartnered men and women;
• to test hypotheses derived from the literature, including that in high sex ratio areas men are more vulnerable to depression and aggression, women have better mental health with less depression and anxiety, and violent crime and prostitution are more common.

About this dataset

Context

The dataset tabulates the data for the England, AR population pyramid, which represents the England population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for England, AR, is 30.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for England, AR, is 24.3.
• Total dependency ratio for England, AR is 54.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for England, AR is 4.1.

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

Variables / Data Columns

• Age Group: This column displays the age group for the England population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the England for the selected age group is shown in the following column.
• Population (Female): The female population in the England for the selected age group is shown in the following column.
• Total Population: The total population of the England for the selected age group is shown in the following column.

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 England Population by Age. You can refer the same here

The United Kingdom: Ratio of female to male students in tertiary level education: The latest value from 2022 is 1.27 percent, an increase from 1.26 percent in 2021. In comparison, the world average is 1.21 percent, based on data from 117 countries. Historically, the average for the United Kingdom from 1971 to 2022 is 1 percent. The minimum value, 0.51 percent, was reached in 1971 while the maximum of 1.27 percent was recorded in 2004.

In 2023, there were estimated to be approximately **** million males aged between 0 and 4 in the United Kingdom, and **** million females. Throughout this time period, the male population of very young children in the UK has consistently been higher than that of females.

Context

In the United Kingdom, it's mandated by law that any organization employing over 250 individuals must disclose their gender pay gap data annually. This is not to be mistaken with equal pay, which is the legal obligation to pay men and women the same for equivalent work. The gender pay gap, on the other hand, is a broader measure that looks at the average differences in pay, seniority, and career advancement between male and female employees. This makes it a more potent indicator of gender equality and institutional bias within organizations.

Content

Geography: United Kingdom

Time period: 2018-2023

Unit of analysis: UK Gender Pay Gap

Dataset: This dataset currently contains data collected by the Gender Pay Gap Service for the 2018 to 2023 reporting years. More data will be added as it becomes available.

At present, the Gender Pay Gap Service only provides data downloads in CSV format, divided by the reporting year. This dataset amalgamates all the available CSV files, with column descriptions and file introductions informed by my firsthand experience working on the Gender Pay Gap Service website for the Government Equalities Office.

Variables

In the third quarter of 2025, the employment rate for men aged between 16 and 64 in the United Kingdom was 77.7 percent, while for women it was 72.5 percent. The male employment rate has consistently been higher than that of females in this provided time period, although the gap was much greater at the start of this period.

All data in this dataset has a UK Open Government Licence (OGL).

A link to the OGL.

A link to the CPS workforce diversity data source page.

The Crown Prosecution Service (CPS) prosecutes criminal cases that have been investigated by the police and other investigative organisations in England and Wales. The CPS is independent, and makes decisions independently of the police and government.

Since the CPS covers the whole of the population of England and Wales.

Does the diversity mix in the workforce, proportionally represent the population ?

I decided to use 5 years of CPS workforce diversity data to create some charts, to visualise the workforce diversity. I concentrated on the percentage of workers in the workplace, SIP - Staff in Place. Using Gender, Ethnicity, and Disability.

A first look at the data using Tableau. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2Fff380ad8925b08c70371f06249919cbe%2FSheet%201.png?generation=1689764060719892&alt=media" alt="">

Data Visualisations

A link to an edited spreadsheet and 4 graphs (a csv version is uploaded to Data Explorer).

Chart 1 shows the gender split in the workforce: 2018-2023. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2F9bd96b45a225c887ff5d71d9f92252d5%2FScreenshot%202023-08-16%2014.28.08.png?generation=1692192576938554&alt=media" alt="">

Chart 2 shows the ethnic split in the workforce: 2018-2023. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2Fa0ec4a32a272c41eb81d7bcc42510876%2FScreenshot%202023-08-16%2014.30.00.png?generation=1692192667097839&alt=media" alt="">

Chart 3 shows the leaver's ethnic split in the workforce: 2018-2023. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2F66475ce56f548751d52df5b27474daa4%2FScreenshot%202023-08-16%2014.31.34.png?generation=1692192862812779&alt=media" alt="">

Chart 4 shows the split between disabled and non-disabled in the workforce: 2018-2023. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2Fe4c4a5b709b9a25db3bf6b805bc842d8%2FScreenshot%202023-08-16%2014.35.10.png?generation=1692192958072157&alt=media" alt="">

Chart 1 shows a higher percentage of female to male workers, in the workplace.

Chart 2 shows a gradual increase in the percentage of ethnic workers in the workplace.

Chart 3 shows a small decline then a small increase in the percentage of ethnic workers leaving the workplace.

Chart 4 shows a gradual increase in the percentage of disabled workers in the workplace.

The gender mix ratio of female to male in the CPS workforce, is higher than the national average (England and Wales): - The CPS gender workforce mix is female 67.68% and male 32.32% - 2023. - According to the 2021 Census, women and girls made up 30.4 million (51.0%) of the population of England and Wales, and men and boys made up 29.2 million (49.0%). A [link](https://www.ethnicity-facts-figures.service.gov.uk/uk-population-by-ethnicity/demographics/male-and-female-populations/latest#:~:text=The%20data%20shows%20that%3A,up%2029.2%20million%20(49.0%25) to the census data.

The CPS ethnic workforce mix is above the national average (England and Wales): - The CPS workforce ethnic mix is 20.54% - 2023. - England and Wales population average ethnic mix is 18% - 2021. A link to the census data.

The CPS workforce disability mix is below the national average (England and Wales): - The CPS workforce disability mix is 12.51% - 2023. - In England, in 2021, a smaller proportion but a larger number of people were disabled (17.7%, 9.8 million), compared with 2011 (19.3%, 9.4 million). - In Wales, in 2021, a smaller proportion and a smaller number of people were disabled (21.1%, 670,000), compared with 2011 (23.4%, 696,000). A [link](https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthandwellbeing/bulletins/disabilityenglandandwales/census2021#:~:text=In%20England%2C%20in%202021%2C%20a,(23.4%25%2C%20696%2C000) to the census data.

Conclusion: - The CPS workforce diversity data shows a higher proportion of females to males. Compared with the gender mix percentages in the population. - The CPS workforce diversity data shows a higher than average ethnic mix. Compared with the ethnic mix percentages in the population. - The CPS workforce diversity data shows a l...

Introduction

Male and Female Doctors Statistics: Doctors play an essential role in the medical industry. Male and female doctors play critical roles in providing different healthcare services in medicine.

Historically, men have significantly dominated the medical profession. However, there has been a considerable growth in the number of female doctors over the years, as more women seek professions in medicine.

The distribution of male and female doctors across different specializations and geographic locations can vary significantly.

Key factors such as personal preferences, cultural norms, work-life balance considerations, etc., may influence the choices made by male and female doctors regarding their work environment as well as location.

As of 2024, the share of women in senior ministerial roles (the Cabinet) in the United Kingdom was **** percent, compared to **** percent in 2023. Since 2004, the share of women in the UK cabinet has fluctuated quite significantly, with 2006 and 2017 having the join-highest proportion of women in the cabinet at **** percent.

BackgroundObesity is a common and highly convincing risk factor for many cancers, including liver cancer. Sex disparities in the body composition and regulatory mechanisms involved in energy homeostasis may contribute to the difference in the incidence of cancer. However, evidence on the gender-specific association between body composition and liver cancer incidence is limited. We performed this study to investigate the linear and non-linear associations of body composition with liver cancer risk by gender.Materials and methodsThis prospective analysis included 4,75,659 participants free of cancer, based on the UK Biobank. We used Cox proportional hazard models to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) after adjusting for potential confounders. Restricted cubic spline was performed to investigate the potential non-linear associations.ResultsDuring a median follow-up, 275 cases (174 male patients and 101 female patients) of liver cancer were identified. Male patients in the highest body fat percentage group are more likely to develop liver cancer (HR = 1.89, 95% CI: 1.17–3.03) compared with those in the lowest group. The one-unit increase of whole-body fat mass, arm fat mass, and trunk fat mass was associated with 1.03-, 1.14-, and 1.05-fold increased risk of liver cancer in male subjects, respectively. U-shaped associations of body composition with liver cancer risk were observed in the female subjects. Both high and low levels of whole-body fat-free mass, particularly in the arm and trunk, were associated with an increased risk of liver cancer.ConclusionThis study found a gender-specific association between body composition and liver cancer risk and provided evidence for individualized weight management for the prevention of liver cancer.

In 2024, the employee group with the largest representation of women at Freshfields Bruckhaus Deringer were those in the '****************' and '*************' sectors. The employee group with the lowest representation of women were ********, who, accordingly, had the highest representation of male employees.