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 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 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.

This statistic represents the average height of men in the top 20 countries worldwide as of 2016. On average, men are ***** centimeters tall in Bosnia & Herzegovina.

Average birth weight and height for sample population percentiles for males and females.

This is the percentage of year 6 children who are living with obesity and includes children who are living with severe obesity.

The BMI classification of each child is derived by calculating the child's BMI centile and assigning the BMI classification. Obese is defined as a BMI centile greater than or equal to the 95th centile. Severely obese is defined as a BMI centile greater than or equal to 99.6 (This BMI classification is a subset of the "Obese" classification).

The results are derived from the postcode of the school. Measurement of children's heights and weights, without shoes and coats and in normal, light, indoor clothing, was overseen by healthcare professionals and undertaken in school by trained staff. Measurements could be taken at any time during the academic year. Some children could be over one year older than others in the same school year at the point of measurement. This does not impact upon a child's BMI classification since BMI centile results are adjusted for age.

The National Child Measurement Programme (NCMP) collects height and weight measurements of children in reception (aged 4-5 years) and year 6 (aged 10-11 years) primarily in mainstream state-maintained schools in England. Local authorities are mandated to collect data from mainstream state-maintained schools but collection of data from special schools (schools for pupils with special educational needs and pupil referral units) and independent schools is encouraged.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Abstract copyright UK Data Service and data collection copyright owner.The National Child Measurement Programme (NCMP) was first established in 2005. It is an annual programme which measures the height and weight of children in Reception and Year 6 within state maintained schools. Some independent and special schools also choose to participate. The measurement process is overseen by trained healthcare professionals in schools and not shared with school staff or pupils. Data are captured and validated by Primary Care Trusts (PCTs). The Health and Social Care Information Centre (HSCIC) (prior to 1 April 2013 the NHS Information Centre for Health and Social Care (NHS IC)) then collates the data at a national level, conducts further validation and analysis, and publishes an annual report. The National Obesity Observatory (NOO) also publish detailed analysis of the NCMP dataset annually. The validated national NCMP dataset is shared with Public Health Observatories (PHOs) in accordance with the terms of a data sharing agreement. The PCTs also undertake additional analyses at regional and local level to inform the work of the NHS and local authorities on the healthy weight agenda. The NCMP was set up in line with the Government's strategy to tackle obesity and to: inform local planning and delivery of services for childrengather population-level data to allow analysis of trends in growth patterns and obesity increase population and professional understanding of weight issues in children be a vehicle for engaging with children and families about healthy lifestyles and weight issuesFurther information can be found at the Health and Social Care Information Centre National Child Measurement Programme webpage. For the second edition (January 2013) a revised version of the database was deposited, with new additional tables included. The documentation has been updated accordingly. Main Topics:The database includes information on anthropometric measurements of Reception Year and Year 6 children in schools in England, collected during the school year as part of the NCMP. The database comprises tables covering BMI classification (every pupil is classified into only one BMI category); Government Office Region codes; a range of NCMP data at Primary Care Trust level; a range of NCMP data at record level; information on primary schools that did and did not participate in the NCMP Programme; a description of the school type codes; a range of NCMP data at SHA level; and information on urban/rural indicators. For a full list of fields, and descriptions within the database please refer to the metadata documentation. The database is a ‘reduced’ version of the full NCMP dataset to ensure that the risk of disclosure is minimal. See documentation for details of omitted fields. Standard Measures: Since children’s height and weight are dependent on age and sex, height and weight measurements must be standardised to take these factors into account. The standardised value is a 'z-score' and indicates how far, and in what direction, the measurement deviates from the average (mean) for that age and sex. A formula ('Cole's method') is used to standardise height, weight and BMI (see Cole, T. (1997) 'Growth monitoring with the British 1990 growth reference', Archives of Disease in Childhood, 76(1), pp.47–49). For every measurement, age (in months) and sex, there is a growth curve based on the UK 1990 Growth Reference. This provides the values required by the formula to allow the height, weight and BMI z-score to be calculated. The z-scores are converted to p-scores and allow every child to be assigned to a BMI classification using defined cut-offs. Please see the 'NCMP Guidance for Analysis' in the documentation for further details.

Abstract copyright UK Data Service and data collection copyright owner.The National Child Measurement Programme (NCMP) was first established in 2005. It is an annual programme which measures the height and weight of children in Reception and Year 6 within state maintained schools. Some independent and special schools also choose to participate. The measurement process is overseen by trained healthcare professionals in schools and not shared with school staff or pupils. Data are captured and validated by Primary Care Trusts (PCTs). The Health and Social Care Information Centre (HSCIC) (prior to 1 April 2013 the NHS Information Centre for Health and Social Care (NHS IC)) then collates the data at a national level, conducts further validation and analysis, and publishes an annual report. The National Obesity Observatory (NOO) also publish detailed analysis of the NCMP dataset annually. The validated national NCMP dataset is shared with Public Health Observatories (PHOs) in accordance with the terms of a data sharing agreement. The PCTs also undertake additional analyses at regional and local level to inform the work of the NHS and local authorities on the healthy weight agenda. The NCMP was set up in line with the Government's strategy to tackle obesity and to: inform local planning and delivery of services for childrengather population-level data to allow analysis of trends in growth patterns and obesity increase population and professional understanding of weight issues in children be a vehicle for engaging with children and families about healthy lifestyles and weight issuesFurther information can be found at the Health and Social Care Information Centre National Child Measurement Programme webpage. For the second edition (January 2013) a revised version of the database was deposited, with new additional tables included. The documentation has been updated accordingly. Main Topics:The database includes information on anthropometric measurements of Reception Year and Year 6 children in schools in England, collected during the school year as part of the NCMP. The database comprises tables covering BMI classification (every pupil is classified into only one BMI category); Government Office Region codes; a range of NCMP data at Primary Care Trust level; a range of NCMP data at record level; information on primary schools that did and did not participate in the NCMP Programme; a description of the school type codes; a range of NCMP data at SHA level; and information on urban/rural indicators. For a full list of fields, and descriptions within the database please refer to the metadata documentation. The database is a ‘reduced’ version of the full NCMP dataset to ensure that the risk of disclosure is minimal. See documentation for details of omitted fields. Standard Measures: Since children’s height and weight are dependent on age and sex, height and weight measurements must be standardised to take these factors into account. The standardised value is a 'z-score' and indicates how far, and in what direction, the measurement deviates from the average (mean) for that age and sex. A formula ('Cole's method') is used to standardise height, weight and BMI (see Cole, T. (1997) 'Growth monitoring with the British 1990 growth reference', Archives of Disease in Childhood, 76(1), pp.47–49). For every measurement, age (in months) and sex, there is a growth curve based on the UK 1990 Growth Reference. This provides the values required by the formula to allow the height, weight and BMI z-score to be calculated. The z-scores are converted to p-scores and allow every child to be assigned to a BMI classification using defined cut-offs. Please see the 'NCMP Guidance for Analysis' in the documentation for further details.

Between 1930 and 2020, the average size of master bedrooms in newly-built houses in Britain has remained relatively consistent throughout the decades. In the 1930s, the average master bedroom was approximately 15.3 square meters, before dropping to 13.7 square meters during the Second World War and the immediate recovery period. By the 1960s, it had risen again above 15 square meters, before gradually dropping over the next five decades to 13.4 square meters in the 2010s. The total fluctuation is just 1.9 meters, which is significantly lower than the that of living room sizes during this time.

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.

The Health Survey Northern Ireland (HSNI) was commissioned by the Department of Health in Northern Ireland and the Central Survey Unit (CSU) of the Northern Ireland Statistics and Research Agency (NISRA) carried out the survey on their behalf. This survey series has been running on a continuous basis since April 2010 with separate modules for different policy areas included in different financial years. It covers a range of health topics that are important to the lives of people in Northern Ireland. The HSNI replaces the previous Northern Ireland Health and Social Wellbeing Survey (available under SNs 4589, 4590 and 5710).

Adult BMI, height and weight measurements, accompanying demographic and derived variables, geography, and a BMI weighting variable, are available in separate datasets for each survey year.

Further information is available from the https://www.nisra.gov.uk/health-survey-northern-ireland" title="Northern Ireland Statistics and Research Agency">Northern Ireland Statistics and Research Agency and the https://www.health-ni.gov.uk/topics/doh-statistics-and-research/health-survey-northern-ireland" title="Department of Health (Northern Ireland)">Department of Health (Northern Ireland) survey webpages.

The Health Survey Northern Ireland, 2016-2017 provides a source of information on a wide range of health issues relevant to Northern Ireland. The information collected is pursuing the development of policies aimed at improving the health and well-being of the Northern Ireland population.

Abstract copyright UK Data Service and data collection copyright owner.The National Child Measurement Programme (NCMP) was first established in 2005. It is an annual programme which measures the height and weight of children in Reception and Year 6 within state maintained schools. Some independent and special schools also choose to participate. The measurement process is overseen by trained healthcare professionals in schools and not shared with school staff or pupils. Data are captured and validated by Primary Care Trusts (PCTs). The Health and Social Care Information Centre (HSCIC) (prior to 1 April 2013 the NHS Information Centre for Health and Social Care (NHS IC)) then collates the data at a national level, conducts further validation and analysis, and publishes an annual report. The National Obesity Observatory (NOO) also publish detailed analysis of the NCMP dataset annually. The validated national NCMP dataset is shared with Public Health Observatories (PHOs) in accordance with the terms of a data sharing agreement. The PCTs also undertake additional analyses at regional and local level to inform the work of the NHS and local authorities on the healthy weight agenda. The NCMP was set up in line with the Government's strategy to tackle obesity and to: inform local planning and delivery of services for childrengather population-level data to allow analysis of trends in growth patterns and obesity increase population and professional understanding of weight issues in children be a vehicle for engaging with children and families about healthy lifestyles and weight issuesFurther information can be found at the Health and Social Care Information Centre National Child Measurement Programme webpage. Main Topics:The database includes information on anthropometric measurements of Reception Year and Year 6 children in schools in England, collected during the school year as part of the NCMP. The database comprises tables covering BMI classification (every pupil is classified into only one BMI category); Government Office Region codes; a range of NCMP data at Primary Care Trust level; a range of NCMP data at record level; information on primary schools that did and did not participate in the NCMP Programme; a description of the school type codes; a range of NCMP data at SHA level; and information on urban/rural indicators. For a full list of fields, and descriptions within the database please refer to the metadata documentation. The database is a ‘reduced’ version of the full NCMP dataset to ensure that the risk of disclosure is minimal. See documentation for details of omitted fields. Standard Measures: Since children’s height and weight are dependent on age and sex, height and weight measurements must be standardised to take these factors into account. The standardised value is a 'z-score' and indicates how far, and in what direction, the measurement deviates from the average (mean) for that age and sex. A formula ('Cole's method') is used to standardise height, weight and BMI (see Cole, T. (1997) 'Growth monitoring with the British 1990 growth reference', Archives of Disease in Childhood, 76(1), pp.47–49). For every measurement, age (in months) and sex, there is a growth curve based on the UK 1990 Growth Reference. This provides the values required by the formula to allow the height, weight and BMI z-score to be calculated. The z-scores are converted to p-scores and allow every child to be assigned to a BMI classification using defined cut-offs. Please see the 'NCMP Guidance for Analysis' in the documentation for further details.

Since 1995, the average size of new wind turbines in the United Kingdom has increased. In 2002, the UK surpassed the barrier of *** megawatt, and since 2019, it has remained above ***** megawatts, peaking in that year at *** megawatts. In 2022, the average size of wind turbines amounted to *** megawatts.

Abstract copyright UK Data Service and data collection copyright owner.The National Child Measurement Programme (NCMP) was first established in 2005. It is an annual programme which measures the height and weight of children in Reception and Year 6 within state maintained schools. Some independent and special schools also choose to participate. The measurement process is overseen by trained healthcare professionals in schools and not shared with school staff or pupils. Data are captured and validated by Primary Care Trusts (PCTs). The Health and Social Care Information Centre (HSCIC) (prior to 1 April 2013 the NHS Information Centre for Health and Social Care (NHS IC)) then collates the data at a national level, conducts further validation and analysis, and publishes an annual report. The National Obesity Observatory (NOO) also publish detailed analysis of the NCMP dataset annually. The validated national NCMP dataset is shared with Public Health Observatories (PHOs) in accordance with the terms of a data sharing agreement. The PCTs also undertake additional analyses at regional and local level to inform the work of the NHS and local authorities on the healthy weight agenda. The NCMP was set up in line with the Government's strategy to tackle obesity and to: inform local planning and delivery of services for childrengather population-level data to allow analysis of trends in growth patterns and obesity increase population and professional understanding of weight issues in children be a vehicle for engaging with children and families about healthy lifestyles and weight issuesFurther information can be found at the Health and Social Care Information Centre National Child Measurement Programme webpage. For the third edition (January 2013) a revised version of the database was deposited, with new additional tables included. The documentation has been updated accordingly. Main Topics:The database includes information on anthropometric measurements of Reception Year and Year 6 children in schools in England, collected during the school year as part of the NCMP. The database comprises tables covering BMI classification (every pupil is classified into only one BMI category); Government Office Region codes; a range of NCMP data at Primary Care Trust level; a range of NCMP data at record level; information on primary schools that did and did not participate in the NCMP Programme; a description of the school type codes; a range of NCMP data at SHA level; and information on urban/rural indicators. For a full list of fields, and descriptions within the database please refer to the metadata documentation. The database is a ‘reduced’ version of the full NCMP dataset to ensure that the risk of disclosure is minimal. See documentation for details of omitted fields. Standard Measures: Since children’s height and weight are dependent on age and sex, height and weight measurements must be standardised to take these factors into account. The standardised value is a 'z-score' and indicates how far, and in what direction, the measurement deviates from the average (mean) for that age and sex. A formula ('Cole's method') is used to standardise height, weight and BMI (see Cole, T. (1997) 'Growth monitoring with the British 1990 growth reference', Archives of Disease in Childhood, 76(1), pp.47–49). For every measurement, age (in months) and sex, there is a growth curve based on the UK 1990 Growth Reference. This provides the values required by the formula to allow the height, weight and BMI z-score to be calculated. The z-scores are converted to p-scores and allow every child to be assigned to a BMI classification using defined cut-offs. Please see the 'NCMP Guidance for Analysis' in the documentation for further details.

This statistic looks at the results of a survey on the opinions of people on what they think is the average dress size in the United Kingdom (UK) in 2013. The statistic shows that ** percent of female respondents stated that they think that the average dress size is a **.

In 2022, the mean waist circumference in England among the age group of 65 to 74 years was 104.5 centimeters for men and 91.3 centimeters for women. The was the age group with the largest average waist circumference among men, while the highest among women was reported in the age groups 55 to 64 years and above 75 years. Age and gender differences in very high waist circumference The 2022 data shows that the age group between 65 and 74 years in England had the largest share of men with very high waist circumference at 54 percent, whereas 56 percent of the women in the age group from 55 to 64 years had the same classification. Interestingly, both men and women. The youngest age group, 16 to 34 years, had the smallest share of individuals with very high waist circumference for both genders, with men at 17 percent and women at 34 percent. Obesity trends and health implications The increasing waist sizes align with broader obesity trends in England. In 2022, the mean body mass index (BMI) for both men and women was 27.6, which falls into the overweight category. This is part of a steady upward trend since 1998. The prevalence of obesity has also risen, with 30 percent of women and 28 percent of men classified as obese in 2022, up from 21 percent for both genders in 2000. Additionally, 39 percent of men and 31 percent of women were classified as overweight in 2022, while the share of individuals classified as having normal body weight was 31 percent among men and 37 percent among women in England.

In London, the average size of floor space in offices in 2018 varied from under eight thousand square feet to approximately 35 thousand square feet. In 2018, Central London saw office vacancy rates fell by over one percent. In terms of areas, Southbank had the lowest vacancy rates in London.

Prime rents

London is notoriously an expensive city to rent commercial and residential space. In some areas of the city, prime rents can be more than one hundred British pounds per square foot, with the London West End seeing the highest rents for office space in Europe.

Commercial investments

Between the 1st and 3rd quarter of 2018, the United Kingdom (UK) saw commercial investments reach 37 billion euros. Even though the United Kingdom saw the highest commercial investments in Europe, in terms of investment prospects, London does not even make the list.

In 2019, the average size of both en-suite and studio purpose-built student accommodation (PBSA) in London was much smaller than in the rest of the United Kingdom (UK). For example, an average student studio in London was **** square meters, while in the rest of UK, it was **** square meters.

Abstract copyright UK Data Service and data collection copyright owner.The National Child Measurement Programme (NCMP) was first established in 2005. It is an annual programme which measures the height and weight of children in Reception and Year 6 within state maintained schools. Some independent and special schools also choose to participate. The measurement process is overseen by trained healthcare professionals in schools and not shared with school staff or pupils. Data are captured and validated by Primary Care Trusts (PCTs). The Health and Social Care Information Centre (HSCIC) (prior to 1 April 2013 the NHS Information Centre for Health and Social Care (NHS IC)) then collates the data at a national level, conducts further validation and analysis, and publishes an annual report. The National Obesity Observatory (NOO) also publish detailed analysis of the NCMP dataset annually. The validated national NCMP dataset is shared with Public Health Observatories (PHOs) in accordance with the terms of a data sharing agreement. The PCTs also undertake additional analyses at regional and local level to inform the work of the NHS and local authorities on the healthy weight agenda. The NCMP was set up in line with the Government's strategy to tackle obesity and to: inform local planning and delivery of services for childrengather population-level data to allow analysis of trends in growth patterns and obesity increase population and professional understanding of weight issues in children be a vehicle for engaging with children and families about healthy lifestyles and weight issuesFurther information can be found at the Health and Social Care Information Centre National Child Measurement Programme webpage. Main Topics:The database includes information on anthropometric measurements of Reception Year and Year 6 children in schools in England, collected during the school year as part of the NCMP. The database comprises tables covering BMI classification (every pupil is classified into only one BMI category); Government Office Region codes; a range of NCMP data at Primary Care Trust level; a range of NCMP data at record level; information on primary schools that did and did not participate in the NCMP Programme; a description of the school type codes; a range of NCMP data at SHA level; and information on urban/rural indicators. For a full list of fields, and descriptions within the database please refer to the metadata documentation. The database is a ‘reduced’ version of the full NCMP dataset to ensure that the risk of disclosure is minimal. See documentation for details of omitted fields. Standard Measures: Since children’s height and weight are dependent on age and sex, height and weight measurements must be standardised to take these factors into account. The standardised value is a 'z-score' and indicates how far, and in what direction, the measurement deviates from the average (mean) for that age and sex. A formula ('Cole's method') is used to standardise height, weight and BMI (see Cole, T. (1997) 'Growth monitoring with the British 1990 growth reference', Archives of Disease in Childhood, 76(1), pp.47–49). For every measurement, age (in months) and sex, there is a growth curve based on the UK 1990 Growth Reference. This provides the values required by the formula to allow the height, weight and BMI z-score to be calculated. The z-scores are converted to p-scores and allow every child to be assigned to a BMI classification using defined cut-offs. Please see the 'NCMP Guidance for Analysis' in the documentation for further details.