In 2020, the average height of males aged between 18 and 44 years in China figured at 169.7 centimeters, up 1.2 centimeters compared to that in 2015. On the other side, obesity and overweight conditions have seen a gradual increase across the country mainly related to an unhealthy diet and a less active urban lifestyle.

China Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 11.100 % in 2024. This records an increase from the previous number of 10.400 % for 2023. China Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 6.900 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 11.100 % in 2024 and a record low of 6.500 % in 2008. China Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

The unprecedented urbanization in China has driven rapid urban and rural development in recent decades. While existing studies have extensively focused on horizontal urban expansion, research on vertical urban expansion patterns in China remains limited. To address this gap, we proposed a Multi-Temporal Building Height estimation network (MTBH-Net) to estimate building heights at a 30 m spatial resolution in China for 2005, 2010, 2015, and 2020 by integrating Global Ecosystem Dynamics Investigation (GEDI), Landsat, and PALSAR data. Specifically, we introduced sample migration to generate reference building height data and utilized the Continuous Change Detection and Classification (CCDC) disturbance feature to ensure consistency in unchanged built-up areas. Validation with GEDI L2A V2 data demonstrated that MTBH-Net achieved RMSEs of 5.38 m, 5.73 m, 6.26 m, and 6.36 m for the respective years. Further validation with field-measured data and GF-7 building height data yielded RMSEs of 9.13 m and 10.99 m, respectively. The proposed 30-m China Multi-Temporal Building Height (CMTBH-30) dataset reveals an increase in average building heights in China from 10.48 m in 2005 to 11.37 m in 2020, reflecting an upward trend in urban development. Additionally, the standard deviation of building heights rose from 3.87 m in 2005 to 6.35 m in 2020, indicating increased height variation nationwide. Regional analysis from 2005 to 2020 shows notable vertical growth on newly expanded impervious surfaces in Macau (+14.9 m), Hong Kong (+13.9 m), and Guangdong (+13.5 m), while Chongqing (+3.6 m), Guizhou (+3.0 m), and Qinghai (+3.0 m) also experienced significant growth on stable impervious surfaces. Minimal growth was observed in Jilin, Heilongjiang, and Xinjiang. CMTBH-30 offers a more refined and accurate depiction of building heights, effectively capturing height variations and mitigating the underestimation of high-rise buildings. It fills the gap in multi-temporal building height estimation. Overall, this study provides a new dime

Thanks to the substantial economic development in the country, obesity is replacing malnutrition and growth delay in becoming a new prominent health issue among China's youth. In December 2020, China's National Health Commission reported that while the average height of youngsters between *** and 17 years old increased between 2015 and 2020, the obesity rate also rose continuously, with almost one in **** children and adolescents aged between *** and 17 years being obese or overweight.

Evaporation duct height in China offshore based on meteorological data，Including daily maximum height and average height，the time range is from May 1st, 2023 to April 30th, 2024.

China Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 4.500 % in 2024. This records a decrease from the previous number of 4.600 % for 2023. China Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 7.500 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 20.000 % in 2000 and a record low of 4.500 % in 2024. China Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

Building height is a crucial variable in the study of urban environments, regional climates, and human-environment interactions. However, high-resolution data on building height, especially at the national scale, are limited. Fortunately, high spatial-temporal resolution earth observations, harnessed using a cloud-based platform, offer an opportunity to fill this gap. We describe an approach to estimate 2020 building height for China at 10 m spatial resolution based on all-weather earth observations (radar, optical, and night light images) using the Random Forest (RF) model. Results show that our building height simulation has a strong correlation with real observations at the national scale (RMSE of 6.1 m, MAE = 5.2 m, R = 0.77). The Combinational Shadow Index (CSI) is the most important contributor (15.1%) to building height simulation. Analysis of the distribution of building morphology reveals significant differences in building volume and average building height at the city scale across China. Macau has the tallest buildings (22.3 m) among Chinese cities, while Shanghai has the largest building volume (298.4 10⁸ m³). The strong correlation between modelled building volume and socio-economic parameters indicates the potential application of building height products. The building height map developed in this study with a resolution of 10 m is open access, provides insights into the 3D morphological characteristics of cities and serves as an important contribution to future urban studies in China.

Geographic analyses of Japanese children have shown a paradoxical trend: effective daylength – the duration of sunlight above a given illumination threshold – is negatively associated with height and positively with weight adjusted for height. These patterns suggest photoperiodic influences, possibly resembling thyroid hormone effects. To investigate whether similar associations exist in Han Chinese children, we analyzed province-level data from 2019 on average height and weight, using annual mean global solar radiation at each provincial capital as a proxy for effective daylength. We applied the regression model: Height = a₀ + a₁ × Weight − a₂ × Solar Radiation. Under normal physiological conditions, height and weight are typically proportional; thus, support for this model would imply solar radiation is linked to reduced height and increased weight. To assess regional variation, we used geographically weighted regression (GWR), which estimates location-specific coefficients. The results showed spatial heterogeneity: the weight coefficient was greater in western provinces, while the solar radiation coefficient tended to be smaller at higher latitudes. A global regression for provinces north of 30°N revealed statistically significant associations for 9-year-old boys. These findings suggest that the height – daylength and weight – daylength relationships observed in Japan may also exist in northern China, though weaker and more variable.

China Steel: Export: Medium & Small Section: L Section: Height <80mm data was reported at 30.731 USD mn in Mar 2025. This records an increase from the previous number of 18.122 USD mn for Feb 2025. China Steel: Export: Medium & Small Section: L Section: Height <80mm data is updated monthly, averaging 10.039 USD mn from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 50.014 USD mn in Mar 2023 and a record low of 1.292 USD mn in Feb 2020. China Steel: Export: Medium & Small Section: L Section: Height <80mm data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAG: Steel Export: Monthly.

The CNBH10m national product is a China 2020 building height map generated based on high spatiotemporal resolution Earth observation data (including radar, optical, and night light images), with a resolution of 10 meters. It uses a random forest model to estimate building height, and the results have a strong correlation with the actual observed height (RMSE of 6.1 meters, MAE of 5.2 meters, R of 0.77). The main contributing factor of this product is the Combined Shadow Index (CSI), which reveals the differences in building volume and average height among cities in China. CNBH10m is an open access building height dataset that provides strong support for urban research, regional climate analysis, and human environment interaction research, especially in helping to gain a deeper understanding of the three-dimensional morphological characteristics of cities.

China Steel: Export: Medium & Small Section: I Section: Height <80mm data was reported at 0.597 USD mn in Mar 2025. This records an increase from the previous number of 0.369 USD mn for Feb 2025. China Steel: Export: Medium & Small Section: I Section: Height <80mm data is updated monthly, averaging 0.314 USD mn from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 2.949 USD mn in Nov 2023 and a record low of 0.001 USD mn in Mar 2010. China Steel: Export: Medium & Small Section: I Section: Height <80mm data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAG: Steel Export: Monthly.