In 2020, the average height of males aged between 18 and 44 years in China figured at ***** centimeters, up *** 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.

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: T Section: Height <80mm data was reported at 0.164 USD mn in Mar 2025. This records a decrease from the previous number of 0.173 USD mn for Feb 2025. China Steel: Export: Medium & Small Section: T Section: Height <80mm data is updated monthly, averaging 0.038 USD mn from Jan 2010 (Median) to Mar 2025, with 173 observations. The data reached an all-time high of 2.416 USD mn in Oct 2016 and a record low of 0.000 USD mn in Feb 2018. China Steel: Export: Medium & Small Section: T 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.

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.

We have developed a tree-based approach to create spatially continuous forest stand mean height maps across China through integrating high-point density, high-precision close-range LiDAR data and multisource remote sensing data. The accuracy analysis of the arithmetic mean height (Ha) and the weighted mean height (Hw) demonstrates the feasibility of the proposed method. A practical framework for forestry investigation based on close-range LiDAR was proposed. The mean values of Ha and Hw are 13.3 ± 3.3 m 11.3 ± 2.9 m on pixel level, respectively. Validation based on LiDAR and field sample data shows that the RMSE values, range from 2.6 to 4.1 m for Ha and 2.9 to 4.3 m for Hw, respectively, indicating that our approach outperforms existing forest canopy height maps derived from area-based approaches. Hopefully, our methods and maps will serve as a foundation for estimating carbon storage, monitoring changes in forest structure, managing forest inventory, and assessing wildlife habitat availability.

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: U Section: Height <80mm data was reported at 3.973 USD mn in Mar 2025. This records an increase from the previous number of 3.276 USD mn for Feb 2025. China Steel: Export: Medium & Small Section: U Section: Height <80mm data is updated monthly, averaging 1.896 USD mn from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 15.692 USD mn in Sep 2022 and a record low of 0.148 USD mn in May 2010. China Steel: Export: Medium & Small Section: U 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.

Fruit type is a key reproductive trait associated with plant evolution and adaptation. However, large-scale geographical patterns in fruit type composition and the mechanisms driving these patterns remain to be established. Contemporary environment, plant functional traits and evolutionary age may all influence fruit type composition, while their relative importance remains unclear. Here, using data on fruit types, plant height and distributions of 28,222 (∼ 90.1%) angiosperm species in China, we analyzed the geographical patterns in the proportion of fleshy-fruited species for all angiosperms, trees, shrubs, and herbaceous species separately, and compared the relative effects of contemporary climate, ecosystem primary productivity, plant height, and evolutionary age on these patterns. We found that the proportion of fleshy-fruited species per grid cell for all species and different growth forms all showed significant latitudinal patterns, being the highest in southeastern China. Mean plant height per grid cell and actual evapotranspiration (AET) representing ecosystem primary productivity were the strongest drivers of geographical variations in the proportion of fleshy-fruited species, but their relative importance varied between growth forms. From herbaceous species to shrubs and trees, the relative effects of mean plant height decreased. Mean genus age had significant yet consistently weaker effects on proportion of fleshy-fruited species than mean plant height and AET, and environmental temperature and precipitation contributed to those of only trees and shrubs. These results suggest that biotic and environmental factors and evolutionary age of floras jointly shape the pattern in proportion of fleshy-fruited species, and improve our understanding of the mechanisms underlying geographical variations in fruit type composition. Our study also demonstrates the need of integrating multiple biotic and abiotic factors to fully understand the drivers of large-scale patterns of plant reproductive traits.

China Steel: Import: Medium & Small Section: L Section: Height <80mm data was reported at 0.216 Ton th in Mar 2025. This records a decrease from the previous number of 0.241 Ton th for Feb 2025. China Steel: Import: Medium & Small Section: L Section: Height <80mm data is updated monthly, averaging 0.315 Ton th from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 1.052 Ton th in Apr 2014 and a record low of 0.104 Ton th in Feb 2019. China Steel: Import: 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 Import: Quantity: Monthly.

China Steel: Import: Medium & Small Section: I Section: Height <80mm data was reported at 0.005 Ton th in Mar 2025. This records an increase from the previous number of 0.005 Ton th for Feb 2025. China Steel: Import: Medium & Small Section: I Section: Height <80mm data is updated monthly, averaging 0.203 Ton th from Jan 2010 (Median) to Mar 2025, with 172 observations. The data reached an all-time high of 1.118 Ton th in Apr 2013 and a record low of 0.000 Ton th in Mar 2017. China Steel: Import: 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 Import: Quantity: Monthly.

Note: In the stand, 243 shoot samples were taken from nine trees: three dominant (D), three co-dominant (M), and three suppressed (S), at three heights: top (T), middle (M), and bottom (L), forming nine classes with 27 shoot samples each: DT, DM, DL, MT, MM, ML, ST, SM, and SL; all these values were unitless.

Height of dominant species and community mean of the three marsh communities.