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.

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.

Dutch, French, Italian (1818-1940): http://www.nber.org/chapters/c7435.pdf Dutch (1955-2009): http://www.nature.com/pr/journal/v73/n3/pdf/pr2012189a.pdf Swedish (1841-1952): http://pediatrisk-endokrinologi.no/2008/1/Werner_2008_1.pdf Danish and Germans (1856-1980): http://privatewww.essex.ac.uk/~hatton/Tim_height_paper.pdf Americans (1710-1980): http://www.cambridge.org/us/academic/subjects/history/economic-history/changing-body-health-nutrition-and-human-development-western-world-1700 All 2013 heights: http://www.averageheight.co/average-male-height-by-country Means and medians are not too different (rarely more than 1 cm difference) because within-country heights for specific gender are generally normally distributed.

According to a survey conducted by Ipsos, the perfect height for men, according to ** percent of survey participants in Great Britain, was between * feet ** inches to * feet * inch. As for women, ** percent of respondents stated that the ideal height for a woman should be between * feet * inches and * feet * inches.

The data set comprises time series of wave height and period data from in-situ wave recorders at fixed locations. Principal parameters are significant/characteristic wave height and mean zero crossing period - usually derived from the analysis of 20 or 30 minute recordings taken at intervals of the order of 3 hours. Data holdings include over 1500 recording months of data from some 60 sites across the continental shelf areas around the British Isles and the NE Atlantic between 1954 and 1995. Recording periods vary from 2 months at some sites to over 15 years. The longer series are noted here: Channel Lightvessel (49 54.4N, 002 53.7W; 01 Sep 1979 - 31 Dec 1985); Dowsing Lightvessel (53 34.0N, 000 50.2W; 01 May 1970 - 30 Apr 1971; 01 Nov 1975 - 30 Jun 1981; 01 Jan 1982 - 31 Dec 1982; 01 Jan 1984 - 31 Dec 1984); Ocean Weather Ship Lima (57 00.0N, 020 00.0W; 01 Jan 1975 - 31 Dec 1983); Saint Gowan Lightvessel (51 30.0N, 004 59.8W; 01 Aug 1975 - 31 Jul 1976; 01 Dec 1976 - 31 Dec 1983); Seven Stones Lightvessel (50 03.8N, 006 04.4W; 31 Jan 1962 - 31 Jan 1963; 01 Jan 1968 - 31 Dec 1969; 01 Jul 1971 - 30 Jun 1974; 01 Apr 1975 - 31 Dec 1985). The data originate primarily from UK and Irish laboratories and are managed by the British Oceanographic Data Centre. Data collection is ongoing at some sites (for example, Seven Stones Lighvessel) but these data are not managed by BODC. They are part of the Centre for Environment, Fisheries and Aquaculture Science (CEFAS) wavenet network.

This dataset contains GWAS summary statistics for Standing Height in the UK Biobank.

The GWAS study used data from "White British" samples (N = 337225), which were randomly divided into 5 folds for the purposes of cross-validation. The upload contains, for each fold, GWAS summary statistics for the training and test set. The test summary statistics can be used to evaluate PRS models via pseudo-validation methods. Association testing was done with plink2.

The structure of the data is as follows:

• train
  • fold_1
    • chr_1.PHENO1.glm.linear
    • chr_2.PHENO1.glm.linear
    • ...
  • fold_2
  • fold_3
  • ...
• test
  • fold_1
  • fold_2
  • fold_3
  • ...

For more details about the GWAS study, Quality Control (QC) criteria, or other information, please consult our publication:

Zabad, S., Gravel, S., & Li, Y. (2023). Fast and accurate Bayesian polygenic risk modeling with variational inference. The American Journal of Human Genetics, 110(5), 741–761. https://doi.org/10.1016/j.ajhg.2023.03.009

If you use this data in your work, please cite the publication above.

UK Biobank custom height association statistics on ~700k genotyped SNPsThe zip file contains six files:

(1) ukb_cal_v2_height_allancestry_10pcs_assoc_linear.tsv (2) ukb_cal_v2_height_allancestry_nopcs_assoc_linear.tsv (3) ukb_cal_v2_height_britishancestry_10pcs_assoc_linear.tsv (4) ukb_cal_v2_height_britishancestry_nopcs_assoc_linear.tsv (5) ukb_cal_v2_height_sibs_perm_qfam.tsv (6) ukb_cal_v2_height_wbsibs_perm_qfam.tsv

(1) - (4) are height GWAS estimates on all samples / white British samples using 10 PCs as covariates or no PCs as covariates. Sex was included as covariate in all analyses. (3) is equivalent to the UK Biobank height GWAS from the Neale lab. The remaining small differences can be explained by genotype differences in the UK Biobank imputed data and genotyped data.

(5) and (6) are family based estimates from 20166 sibling pairs of any ancestry (5) and 17358 sibling pairs where both siblings are of white British ancestry (6) in the UK Biobank. Pairs of samples with IBS0 ...

*p < 0.05.Statistics for ANOVA models for birth weight category and 4-year change in hearing, vision, reaction time and fluid IQ.

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.

GeoTiff datasets of significant wave height (hs) in Greater North Sea and Celtic Seas calculated for the period 2000-2005 with a raster cell size of 300m - Numbers in the Geotiff names refer to the percentiles, e.g hs100.tif is the maximum wave height or the 100th percentile and it includes all values, whilst hs90.tif contains the 90th percentile wave height values obtained when the highest 10% of values are excluded. Units are in meters. The layers are built using data from National Oceanographic Centre (NOC) wave model (ProWAM at a resolution of 12.5km) offshore. A high resolution (~300m) bespoke wave model based on the DHI Spectral Wave model was used to augment the coastal areas where the ProWAM model resolution was inadequate.

The spreadsheet contains regional level obesity trend data from the the HSE, BMI data from Understanding Society, and adjusted prevalence of underweight, healthy weight, overweight, and obesity by local authority from the Active People Survey.

Understanding Society data shows the percentage of the population aged 10 and over by their Body Mass Index Classification, covering underweight, normal weight, overweight, and three classes of obesity.

Questions on self-reported height and weight were added to the Sport England Active People Survey (APS) in January 2012 to provide data for monitoring excess weight (overweight including obesity, BMI ≥25kg/m2) in adults (age 16 and over) at local authority level for the Public Health Outcomes Framework (PHOF).

Health Survey for England (HSE) results at a national level are available on the NHS Information Centre website.

Other NHS indicators on obesity are available for Strategic Health Authorities (SHA).

Relevant links: http://discover.ukdataservice.ac.uk/series/?sn=2000053

http://www.noo.org.uk/visualisation/adult_obesity

As most of the heritability of complex traits is attributed to common and low frequency genetic variants, imputing them by combining genotyping chips and large sequenced reference panels is the most cost-effective approach to discover the genetic basis of these traits. Association summary statistics from genome-wide meta-analyses are available for hundreds of traits. Updating these to ever-increasing reference panels is very cumbersome as it requires reimputation of the genetic data, rerunning the association scan, and meta-analysing the results. A much more efficient method is to directly impute the summary statistics, termed as summary statistics imputation, which we improved to accommodate variable sample size across SNVs. Its performance relative to genotype imputation and practical utility has not yet been fully investigated. To this end, we compared the two approaches on real (genotyped and imputed) data from 120K samples from the UK Biobank and show that, genotype imputation boasts a 3- to 5-fold lower root-mean-square error, and better distinguishes true associations from null ones: We observed the largest differences in power for variants with low minor allele frequency and low imputation quality. For fixed false positive rates of 0.001, 0.01, 0.05, using summary statistics imputation yielded a decrease in statistical power by 9, 43 and 35%, respectively. To test its capacity to discover novel associations, we applied summary statistics imputation to the GIANT height meta-analysis summary statistics covering HapMap variants, and identified 34 novel loci, 19 of which replicated using data in the UK Biobank. Additionally, we successfully replicated 55 out of the 111 variants published in an exome chip study. Our study demonstrates that summary statistics imputation is a very efficient and cost-effective way to identify and fine-map trait-associated loci. Moreover, the ability to impute summary statistics is important for follow-up analyses, such as Mendelian randomisation or LD-score regression.

Snapshot img

Contemporary Height-Adjustable Desk Market Size 2025-2029

The contemporary height-adjustable desk market size is forecast to increase by USD 2.75 billion, at a CAGR of 4.3% between 2024 and 2029.

Major Market Trends & Insights

Europe dominated the market and accounted for a 36% growth during the forecast period.
By the Application - Office segment was valued at USD 6.94 billion in 2023
By the Type - Manual height-adjustable desk segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 38.21 billion
Market Future Opportunities: USD 2.75 billion 
CAGR : 4.3%
Europe: Largest market in 2023

Market Summary

The market demonstrates a significant shift in workplace ergonomics and productivity trends. According to recent studies, the global height-adjustable desks market is projected to expand at a steady pace, with a notable increase in demand from various industries. For instance, the technology sector is expected to lead the market growth due to the rising number of remote workers and the emphasis on employee well-being. Height-adjustable desks offer numerous benefits, including improved posture, increased focus, and reduced health risks. These desks cater to diverse user needs, with some models featuring additional functionalities like built-in storage, wireless charging stations, and monitor arms.
The market competition remains fierce, with manufacturers focusing on innovation and affordability to cater to a broader consumer base. Despite the fluctuating prices of raw materials and increasing labor costs, the market shows no signs of slowing down. This dynamic market landscape underscores the importance of staying informed about the latest trends and advancements in height-adjustable desks to optimize your business operations and enhance employee satisfaction.

What will be the Size of the Contemporary Height-Adjustable Desk Market during the forecast period?

Explore market size, adoption trends, and growth potential for contemporary height-adjustable desk market Request Free Sample

The height-adjustable desk market exhibits a significant presence in the business sector, with current usage accounting for over 20% of office furniture sales. This trend is poised to continue, as future growth is projected at approximately 15% annually. Notably, desk manufacturers prioritize features such as noise reduction design, user feedback mechanisms, and motorized height controls to cater to the evolving needs of professionals. Moreover, desk energy consumption is a critical consideration, with energy-efficient designs gaining popularity. Desk surface dimensions and base dimensions vary, while desk stability testing ensures safety and durability. Motorized height controls enable smooth adjustments, and safety compliance is a priority.
Power supply requirements and desk lifespan expectancy are essential factors in the decision-making process. In contrast, desk frame durability and desk safety certification are crucial aspects for long-term investment. Desk assembly components, desk lift speed, and desk controller apps offer customization options. Desk programmable memory, desk weight capacity, and desk material selection cater to diverse user preferences. Overall, the height-adjustable desk market showcases continuous innovation, with manufacturers focusing on user experience, energy efficiency, and safety to meet the demands of the modern workforce.

How is this Contemporary Height-Adjustable Desk Industry segmented?

The contemporary height-adjustable desk industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Office
  Home


Type

  Manual height-adjustable desk
  Electric height-adjustable desk


Distribution Channel

  Online
  Offline


Material Type

  Wood
  Metal
  Composite


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Application Insights

The office segment is estimated to witness significant growth during the forecast period.

The market is experiencing significant expansion due to the increasing adoption of ergonomic design principles in workspaces worldwide. Approximately 25% of offices in the US have implemented height-adjustable desks, fostering a healthier work environment and reducing the risk of musculoskeletal disorders. Furthermore, future industry growth is expected to reach new heights, with an estimated 35% of global workspaces anticipated to incorporate these desks by 2025. Height-adjustable desks cater to

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.

Data gathered in the HSNI 2017-2018. Variables include measured height and weight, calculated BMI including groupings, age, sex and geography.

Statistics illustrates most promising supplying countries of swivel seats with variable height adjustments in European Union (incl. the UK) from 2007 to 2024.

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.