In the shown time-period the mean height of men and women has generally increased in England. According to the survey, the average height of males rose slightly during the period in consideration, from 174.4 centimeters in 1998 to 176.2 centimeters (approximately 5'9") in 2022. In comparison, the mean height of women was 162.3 centimeters (5'4") in 2022, up from 161 in 1998. Reasons for height increasing While a large part of an adult’s final height is based on genetics, the environment in which a person grows up is also important. Improvements in nutrition, healthcare, and hygiene have seen the average heights increase over the last century, particularly in developed countries. Average height is usually seen as a barometer for the overall health of the population of a country, as the most developed are usually among the ‘tallest’ countries. Average waist circumference also increasing The prevalence of obesity among adults in England has generally been trending upward since 2000. In that year, 21 percent of men and women in England were classified as obese. By 2021, however, this share was 26 percent among women and 25 percent among men. Every adult age group in England had an average BMI which was classified as overweight, apart from those aged 16 to 24, indicating there is a problem with overweightness in England.

In England, there has been fairly significant increase in the mean weight of the population over the last quarter-century. In 1998, the mean weight was under 81 kilograms for men and around 68 kilograms for women. By 2022, the mean weight of men was 85.8 kilograms and the mean weight of women was 72.8 kilograms.

In 2022, men aged 55 to 64 years had an average body mass index (BMI) of 29 kg/m2 and women in the same age group had a BMI of 28.8 kg/m2, the highest mean BMI across all the age groups. Apart from individuals aged 16 to 24 years, every demographic in England had an average BMI which is classified as overweight.An increasing problem It is shown that the mean BMI of individuals for both men and women has been generally increasing year-on-year in England. The numbers show in England, as in the rest of the United Kingdom (UK), that the prevalence of obesity is an increasing health problem. The prevalence of obesity in women in England has increased by around nine percent since 2000, while for men the share of obesity has increased by six percent. Strain on the health service Being overweight increases the chances of developing serious health problems such as diabetes, heart disease and certain types of cancers. In the period 2019/20, England experienced over 10.7 thousand hospital admissions with a primary diagnosis of obesity, whereas in 2002/03 this figure was only 1,275 admissions. Furthermore, the number of bariatric surgeries taking place in England, particularly among women, has significantly increased over the last fifteen years. In 2019/20, over 5.4 thousand bariatric surgery procedures were performed on women and approximately 1.3 thousand were carried out on men.

In 2024, the average annual full-time salary for men in the United Kingdom was 40,035 British pounds, compared with 34,000 pounds for women, a difference of just over 6,000 pounds. In the previous year, men earned an average annual salary of 37,382, compared with women who earned 31,672.

United Kingdom UK: Labour Force: Female: % of Total Labour Force data was reported at 46.528 % in 2017. This records an increase from the previous number of 46.515 % for 2016. United Kingdom UK: Labour Force: Female: % of Total Labour Force data is updated yearly, averaging 45.614 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 46.528 % in 2017 and a record low of 43.192 % in 1990. United Kingdom UK: Labour Force: Female: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Labour Force. Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.; ; Derived using data from International Labour Organization, ILOSTAT database and World Bank population estimates. Labor data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.

United Kingdom UK: Survival To Age 65: Female: % of Cohort data was reported at 91.708 % in 2016. This records an increase from the previous number of 91.583 % for 2015. United Kingdom UK: Survival To Age 65: Female: % of Cohort data is updated yearly, averaging 85.961 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 91.708 % in 2016 and a record low of 80.656 % in 1960. United Kingdom UK: Survival To Age 65: Female: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

United Kingdom UK: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 15.300 % in 2016. This records an increase from the previous number of 14.000 % for 2015. United Kingdom UK: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 10.900 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 23.100 % in 1990 and a record low of 9.400 % in 2003. United Kingdom UK: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;

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;

United Kingdom UK: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 84.000 % in 2009. This records an increase from the previous number of 82.000 % for 2008. United Kingdom UK: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 82.000 % from Dec 1976 (Median) to 2009, with 20 observations. The data reached an all-time high of 84.000 % in 2009 and a record low of 69.000 % in 1989. United Kingdom UK: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.

This statistic presents the average number of handbags of various types owned by women in the United Kingdom (UK), according to a 2016 survey. Women in the UK own an average of ** handbags. Only ***** of these bags are used regularly, while **** are "best" bags which go with particular outfits and **** are evening bags.

United Kingdom UK: Fertility Rate: Total: Births per Woman data was reported at 1.800 Ratio in 2016. This stayed constant from the previous number of 1.800 Ratio for 2015. United Kingdom UK: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.820 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.930 Ratio in 1964 and a record low of 1.630 Ratio in 2002. United Kingdom UK: Fertility Rate: Total: Births per Woman 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: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

This dataset contains indicator values for NHS (National Health Service) Outcomes Framework indicator - the average number of additional years a man or woman aged 75 can be expected to live if they continue to live in the same place and the death rates in their area remain the same for the rest of their life.

United Kingdom UK: Secondary Education: Pupils: % Female data was reported at 49.596 % in 2015. This records a decrease from the previous number of 49.805 % for 2014. United Kingdom UK: Secondary Education: Pupils: % Female data is updated yearly, averaging 49.195 % from Dec 1971 (Median) to 2015, with 45 observations. The data reached an all-time high of 49.921 % in 2013 and a record low of 48.422 % in 1971. United Kingdom UK: Secondary Education: Pupils: % Female 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: Education Statistics. Female pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

United Kingdom UK: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 53.693 Ratio in 2014. This records a decrease from the previous number of 53.890 Ratio for 2013. United Kingdom UK: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 83.533 Ratio from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 111.369 Ratio in 1963 and a record low of 53.693 Ratio in 2014. United Kingdom UK: Mortality Rate: Adult: Female: per 1000 Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;

United Kingdom UK: Suicide Mortality Rate: Female data was reported at 4.400 NA in 2016. This records a decrease from the previous number of 4.500 NA for 2015. United Kingdom UK: Suicide Mortality Rate: Female data is updated yearly, averaging 4.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.800 NA in 2000 and a record low of 3.900 NA in 2010. United Kingdom UK: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

This statistic shows the results of a survey conducted in 2017 in which adults in Great Britain were asked which women's clothing size they thought was the rough equivalent of a large size, broken down by age. Respondents in younger age categories were more likely to think of smaller dress sizes as the equivalent of a large size, with 21 percent of 18 to 24 year olds considering size 14 as 'large', compared to just 4 percent of those aged 65 years and older.

Data for a Brief Report/Short Communication published in Body Image (2021). Details of the study are included below via the abstract from the manuscript. The dataset includes online experimental data from 167 women who were recruited via social media and institutional participant pools. The experiment was completed in Qualtrics.Women viewed either neutral travel images (control), body positivity posts with an average-sized model (e.g., ~ UK size 14), or body positivity posts with a larger model (e.g., UK size 18+); which images women viewed is show in the ‘condition’ variable in the data.The data includes the age range, height, weight, calculated BMI, and Instagram use of participants. After viewing the images, women responded to the Positive and Negative Affect Schedule (PANAS), a state version of the Body Satisfaction Scale (BSS), and reported their immediate social comparison with the images (SAC items). Women then selected a lunch for themselves from a hypothetical menu; these selections are detailed in the data, as are the total calories calculated from this and the proportion of their picks which were (provided as a percentage, and as a categorical variable [as used in the paper analyses]). Women also reported whether they were on a special diet (e.g., vegan or vegetarian), had food intolerances, when they last ate, and how hungry they were.

Women also completed trait measures of Body Appreciation (BAS-2) and social comparison (PACS-R). Women also were asked to comment on what they thought the experiment was about. Items and computed scales are included within the dataset.This item includes the dataset collected for the manuscript (in SPSS and CSV formats), the variable list for the CSV file (for users working with the CSV datafile; the variable list and details are contained within the .sav file for the SPSS version), and the SPSS syntax for our analyses (.sps). Also included are the information and consent form (collected via Qualtrics) and the questions as completed by participants (both in pdf format).Please note that the survey order in the PDF is not the same as in the datafiles; users should utilise the variable list (either in CSV or SPSS formats) to identify the items in the data.The SPSS syntax can be used to replicate the analyses reported in the Results section of the paper. Annotations within the syntax file guide the user through these.

A copy of SPSS Statistics is needed to open the .sav and .sps files.

Manuscript abstract:

Body Positivity (or ‘BoPo’) social media content may be beneficial for women’s mood and body image, but concerns have been raised that it may reduce motivation for healthy behaviours. This study examines differences in women’s mood, body satisfaction, and hypothetical food choices after viewing BoPo posts (featuring average or larger women) or a neutral travel control. Women (N = 167, 81.8% aged 18-29) were randomly assigned in an online experiment to one of three conditions (BoPo-average, BoPo-larger, or Travel/Control) and viewed three Instagram posts for two minutes, before reporting their mood and body satisfaction, and selecting a meal from a hypothetical menu. Women who viewed the BoPo posts featuring average-size women reported more positive mood than the control group; women who viewed posts featuring larger women did not. There were no effects of condition on negative mood or body satisfaction. Women did not make less healthy food choices than the control in either BoPo condition; women who viewed the BoPo images of larger women showed a stronger association between hunger and calories selected. These findings suggest that concerns over BoPo promoting unhealthy behaviours may be misplaced, but further research is needed regarding women’s responses to different body sizes.