Human development index of China increased by 0.77% from 0.78 score in 2019 to 0.78 score in 2020. Since the 1.60% rise in 2010, human development index surged by 11.89% in 2020. A composite index measuring average achievement in three basic dimensions of human development—a long and healthy life, knowledge and a decent standard of living. 1=the most developed.

Switzerland had the highest level of the Human Development Index (HDI) worldwide in 2022 with a value of 0.967. With a score of 0.966, Norway followed closely behind Switzerland and had the second highest level of human development in that year. The rise of the Asian tigers In the decades after the Cold War, the four so-called Asian tigers, South Korea, Singapore, Taiwan, and Hong Kong (now a Special Administrative Region of China) experienced rapid economic growth and increasing human development. At number four and number nine of the HDI, respectively, Hong Kong and Singapore are the only Asian locations within the top 10 highest HDI scores. Both locations have experienced tremendous economic growth since the 1980’s and 1990’s. In 1980, the per capita GDP of Hong Kong was 5,703 U.S. dollars, increasing throughout the decades until reaching 50,029 in 2023, which is expected to continue to increase in the future. Meanwhile, in 1989, Singapore had a GDP of nearly 31 billion U.S. dollars, which has risen to nearly 501 billion U.S. dollars today and is also expected to keep increasing. Growth of the UAE The United Arab Emirates (UAE) is the only Middle Eastern country besides Israel within the highest ranking HDI scores globally. Within the Middle East and North Africa (MENA) region, the UAE has the third largest GDP behind Saudi Arabia and Israel, reaching nearly 507 billion U.S. dollars by 2022. Per capita, the UAE GDP was around 21,142 U.S. dollars in 1989, and has nearly doubled to 43,438 U.S. dollars by 2021. Moreover, this is expected to reach over 67,538 U.S. dollars by 2029. On top of being a major oil producer, the UAE has become a hub for finance and business and attracts millions of tourists annually.

1949-2019 China Human Development Index (HDI) from Li et al. (2021). It is the ultimate criteria for the United Nations to assess a country's development. It can be used in natural disasters, reinsurance and other fields to normalize some time-varying data.

Citation: "Y. Li, D. Xin, Z. Zhang, A rapid-response earthquake fatality estimation model for mainland China, Int. J. Disast. Risk Re. 66 (2021) 102618. https://doi.org/https://doi.org/10.1016/j.ijdrr.2021.102618".

In 2024, Hong Kong had the highest Human Development Index (HDI) in the Asia-Pacific region, with a score of 0.96. In contrast, Pakistan's HDI score was roughly 0.54 in the same year. HDI provides a human-centered overview of development, based on an individual's longevity and wellness, knowledge, and decent living standards.

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.

The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.

The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

0,78 (Punktzahl, höchste Punktzahl = beste Punktzahl) in 2020. A composite index measuring average achievement in three basic dimensions of human development—a long and healthy life, knowledge and a decent standard of living. 1=the most developed.

China IVI: MoM: HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data was reported at 151.530 Average 12 Mths PY=100 in Dec 2024. This records an increase from the previous number of 103.100 Average 12 Mths PY=100 for Nov 2024. China IVI: MoM: HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data is updated monthly, averaging 111.235 Average 12 Mths PY=100 from Jan 2018 (Median) to Dec 2024, with 70 observations. The data reached an all-time high of 181.400 Average 12 Mths PY=100 in Mar 2021 and a record low of 48.981 Average 12 Mths PY=100 in Apr 2022. China IVI: MoM: HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Trade Value Index: MoM: HS4 Classification.

China IQI: MoM: HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data was reported at 85.700 Average 12 Mths PY=100 in Nov 2024. This records a decrease from the previous number of 93.700 Average 12 Mths PY=100 for Oct 2024. China IQI: MoM: HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data is updated monthly, averaging 94.200 Average 12 Mths PY=100 from Jan 2018 (Median) to Nov 2024, with 69 observations. The data reached an all-time high of 270.114 Average 12 Mths PY=100 in Sep 2018 and a record low of 45.600 Average 12 Mths PY=100 in May 2023. China IQI: MoM: HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Quantum Index: MoM: HS4 Classification.

Das afrikanische Land Somalia erreichte im Jahr 2022 einen Wert von 0,380 Punkten auf dem Human Development Index (HDI) und belegte damit den letzten Rang. Für alle in der Statistik aufgeführten Länder lag die Punktzahl so niedrig, dass das Entwicklungsprogramm der Vereinten Nationen (UNDP) den Entwicklungsstand dieser Länder mit "low human development" klassifizierte. Der HDI ist ein Wohlstandsindikator, der neben dem Bruttonationaleinkommen pro Kopf auch Lebenserwartung und Bildung berücksichtigt. Der Indikator kann einen Werte zwischen 0 und 1 annehmen (zur besseren Darstellung wurden die ursprünglichen Werte in dieser Statistik mit 1.000 multipliziert). Je höher der Wert, desto weiter ist die Entwicklung in den jeweiligen Ländern vorangeschritten. Hochentwickelte Länder weisen einen HDI von mindestens 0,8 auf.

China Trade Index: YoY: Unit Value: Export HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data was reported at 101.900 Prev Year=100 in Oct 2024. This records a decrease from the previous number of 106.117 Prev Year=100 for Sep 2024. China Trade Index: YoY: Unit Value: Export HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data is updated monthly, averaging 74.000 Prev Year=100 from Jan 2018 (Median) to Oct 2024, with 37 observations. The data reached an all-time high of 170.100 Prev Year=100 in Mar 2021 and a record low of 51.487 Prev Year=100 in Jan 2019. China Trade Index: YoY: Unit Value: Export HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Unit Value Index: YoY: HS4 Classification.

China IQI: YoY: HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data was reported at 129.706 Prev Year=100 in Dec 2024. This records an increase from the previous number of 72.000 Prev Year=100 for Nov 2024. China IQI: YoY: HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data is updated monthly, averaging 118.000 Prev Year=100 from Jan 2018 (Median) to Dec 2024, with 55 observations. The data reached an all-time high of 273.407 Prev Year=100 in Sep 2018 and a record low of 38.332 Prev Year=100 in Jan 2023. China IQI: YoY: HS4: Prepared Culture Media for the Development or Maintenance of Microorganisms (Including Viruses and the Like) or of Plant, Human or Animal Cells. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Quantum Index: YoY: HS4 Classification.

Clarifying the relationship between economic development and human well-being is conducive to promoting high-quality economic development. This study focused on 16 prefecture-level cities in the Qinghai-Xizang Plateau region. The critic weighting method assessed the 2007–2018 human well-being index (HWI). The Tapio decoupling model allowed the study of the human well-being decoupling state. Finally, the drivers of decoupling between economic development and human well-being were analyzed using the Logarithmic Mean Divisia Index method. The results indicated that (1) almost all cities in the study region had an upward 2007–2018 HWI trend, but there were significant differences in growth magnitude and change trend. (2) Economic development and human well-being in the study region in 2007–2018 had expansion negative decoupling, thus, human well-being increased with economic growth, but not as fast as gross domestic product. 9 cities in 2007 showed weak decoupling, expansion connection, and expansion negative decoupling, increasing to 13 cities by 2018, indicating that human well-being development gradually improved from 2007 to 2018. (3) For most cities, the economic scale effect was the most influential factor in the decoupling of economic development and human well-being. Therefore, this study provided policy recommendations for decoupling economic development and human well-being.

Quantitative index of human activities in 27 provinces of China (HAQI).

Given the multitude of risks and challenges faced by the water ecological environment during urbanization, enhancing water ecological resilience and improving the water ecological environment have emerged as crucial topics in China’s economic and social development, as well as its ecological civilization construction. This study proposes a research hypothesis on the relationship between new urbanization and water ecological resilience. Employing various econometric models such as the extended STIRPAT model, dynamic panel model, panel threshold effect model, dynamic panel mediating effect model and dynamic panel difference-in-difference model, empirical tests were conducted to examine the impact of new urbanization on water ecological resilience in central China. The findings indicate that: (1) there exists a U-shaped curve relationship with a threshold effect between new urbanization and water ecological resilience; this conclusion remains valid even after conducting several robustness tests including extreme value treatment, re-measurement of independent variables, and replacement of econometric models. (2) In regions with lower levels of new urbanization, new urbanization exerts more significant stress effect on water ecological resilience through economic scale effect, population scale effect, investment pulling effect and foreign trade effect; whereas in regions with higher levels of new urbanization, new urbanization exerts more significant positive effect on water ecological resilience through factors agglomeration effect, technological progress effect, human capital effect, industrial structure effect and marketization effect. (3) Compared to non-pilot cities, the implementation of comprehensive pilot policies for new urbanization has significantly improved the water ecological resilience of cities in central China and the promotion of new urbanization of pilot cities contributes to enhancing water ecological resilience.

The coordinated development of urban quality and technology innovation is an important element of China’s technology innovation development strategy in the new era. Based on entropy TOPSIS, coupling coordination models, the gravity center and standard deviation ellipse method, the geographic probe, the GWR, and other methods, we explore the spatial variation and influencing factors of the coupling coordination relationship between urban quality and technology innovation in the Guangdong-Hong Kong-Macao Greater Bay Area from 2011 to 2020. It is found that: (1) the spatial distribution of the coupling coordination shows a characteristic of "high in the middle and low in the surroundings," and (2) the level of benign interaction in the central region is becoming more prominent. The center of gravity of coupling coordination moves toward the northeast, and the standard deviation ellipse shows a contraction trend away from the southwest. (3) Agglomeration capacity, human capital, cultural development, and infrastructure can significantly drive the improvement of the coupling coordination of urban quality and technology innovation, and the two-factor influence is significantly increased after the interaction. (4) The feedback effects of the coupling and coordination states of different cities on each factor have significant spatial differences and show the characteristics of hierarchical band distribution.

As China’s second-largest source of greenhouse gas emissions, agriculture is essential to achieving the goal of "carbon peak" and "carbon neutrality." Based on the measurement of agricultural carbon emissions (ACE) and agricultural carbon intensity (ACI) in 19 regions along the Yangtze River Economic Belt (YEB) and Yellow River Basin (YRB) in China from 2001 to 2020, this paper first uses the super-efficiency SBM model to measure ACE efficiency from static and dynamic perspectives. Then, the coupling coordination degree (CCD) between ACE efficiency and green finance in each region of the two basins is explored. Finally, Grey Relation Analysis (GRA) is used to obtain the influencing factors of CCD. The following conclusions are drawn: (1) The ACE in the YEB is almost twice that of the YRB. The ACE of the two basins generally experienced a trend of first growth and then declined, but the peak time was different. The ACI of the two basins showed a trend of continuous decline, and the decline rate of the YRB was faster. (2) The ACE efficiency of the two basins showed an overall upward trend, and the growth degree of different regions was vastly different. From the factor decomposition, the technological progress (TP) of the two basins significantly impacts the total factor productivity (TFP). (3) The CCD of ACE efficiency and green finance in the two basins increased from near imbalance to barely coordination level, and the CCD of the YEB increased slightly faster. The CCD of the two basins has a spatial difference of "downstream > midstream > upstream." (4) Among the influencing factors of the CCD of the two systems, the influencing degree of the factors is as follows from large to small: quality of human capital, level of economic development, government regulation, scientific and technological innovation ability.