The Human Development Index (HDI) of Germany has increased from ***** in 1990 to ***** by 2021, indicating that Germany has reached very high levels of human development. The HDI itself is a statistic that combines life-expectancy, education levels and GDP per capita. Countries with scores over ***** are considered to have very high levels of development, compared with countries that score lower. Germany's HDI score has increased from ***** in 1990 to ***** by 2019, implying that Germany has consistently had a very high level of human development.

Germany DE: Multidimensional Poverty Headcount Ratio: % of total population data was reported at 21.000 % in 2021. This records a decrease from the previous number of 24.000 % for 2020. Germany DE: Multidimensional Poverty Headcount Ratio: % of total population data is updated yearly, averaging 19.800 % from Dec 2010 (Median) to 2021, with 12 observations. The data reached an all-time high of 24.000 % in 2020 and a record low of 17.400 % in 2019. Germany DE: Multidimensional Poverty Headcount Ratio: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Poverty and Inequality. ;Government statistical agencies. Data for EU countires are from the EUROSTAT;;

Germany Multidimensional Poverty Headcount Ratio: World Bank: % of total population data was reported at 0.300 % in 2020. This stayed constant from the previous number of 0.300 % for 2019. Germany Multidimensional Poverty Headcount Ratio: World Bank: % of total population data is updated yearly, averaging 0.200 % from Dec 2010 (Median) to 2020, with 10 observations. The data reached an all-time high of 0.300 % in 2020 and a record low of 0.100 % in 2015. Germany Multidimensional Poverty Headcount Ratio: World Bank: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Poverty and Inequality. The multidimensional poverty headcount ratio (World Bank) is the percentage of a population living in poverty according to the World Bank's Multidimensional Poverty Measure. The Multidimensional Poverty Measure includes three dimensions – monetary poverty, education, and basic infrastructure services – to capture a more complete picture of poverty.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

******* had the highest level of the Human Development Index (HDI) worldwide in 2023 with a value of *****. With a score of ****, ****** followed closely behind *********** 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 eight and number 13 of the HDI, respectively, *********************** are the only Asian locations within the top-15 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 ***** U.S. dollars, increasing throughout the decades until reaching ****** in 2023, which is expected to continue to increase in the future. Meanwhile, in 1989, Singapore had a GDP of nearly ** billion U.S. dollars, which has risen to nearly *** 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 *** billion U.S. dollars by 2022. Per capita, the UAE GDP was around ****** U.S. dollars in 1989, and has nearly doubled to ****** U.S. dollars by 2021. Moreover, this is expected to reach over ****** 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.

（停止更新）多维贫困率：男性：男性占总人口百分比在12-01-2021达20.200%，相较于12-01-2020的23.200%有所下降。（停止更新）多维贫困率：男性：男性占总人口百分比数据按年更新，12-01-2010至12-01-2021期间平均值为18.550%，共12份观测结果。该数据的历史最高值出现于12-01-2020，达23.200%，而历史最低值则出现于12-01-2019，为16.300%。CEIC提供的（停止更新）多维贫困率：男性：男性占总人口百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的德国 – Table DE.World Bank.WDI: Social: Poverty and Inequality。

In 2023 Zurich was both the leading smart city based on the IMD smart city index as well as the city with the highest human development index score, making it one of the premier places on earth to live in. Notable exceptions to the HDI to IMD index score were Beijing, Dubai, and Abu Dhabi. Beijing is a notable outlier because although it ranked 12th on the digital smart cities ranking it was nearly 90 points lower than Zurich on the HDI score. This is compared to Munich, Germany, which was the 20th digital city but had a HDI score of ***. Smart tech is watching. CCTV cameras powered by artificial intelligence have become a significant growing market in the modern city. These are predominantly residential, with half the market catering to residential applications of CCTV cameras. However, commercial and business-related CCTV cameras have also seen significant growth, with the market reaching over *** million U.S. dollars in 2023. Digital cities need data and data needs infrastructure. The leading issue with AI infrastructure is data management. AI is a strong influence on how digital cities work and requires a considerable amount of infrastructure to be effective. Storage of AI software is a minor concern, accounting for less than ** percent of challenges globally in 2023.

Indikatoren zu dem Lebensbereich „Partizipation“ Die Daten zu dem Lebensbereich ‚Partizipation‘ setzen sich wie folgt zusammen: Partizipation im politischen Bereichen [erste Ebene]- Politische Teilnahme [Zeitreihen, Daten]- Politische Interessen [Zeitreihen, Daten] Partizipation im Bereich der Arbeitswelt [erste Ebene]- Gewerkschaftlicher Organisationsgrad [Zeitreihen, Daten]- Gewerkschaftlicher Organisationsgrad (SOEP) [Zeitreihen, Daten]- Betriebe mit Betriebsrat [Zeitreihen, Daten] Partizipation in anderen Gesellschaftsbereichen [erste Ebene]- Anteil der konfessionell Gebundenen [Zeitreihen, Daten]- Anteil der Kirchgänger [Zeitreihen, Daten]- Anteil der Vereinsmitglieder [Zeitreihen, Daten]- Anteil der ehrenamtlich Engagierten [Zeitreihen, Daten]- Anteil der Mithilfe bei Nachbarn und Verwandten [Zeitreihen, Daten] Subjektive Bewertung [erste Ebene]- Zufriedenheit mit den Möglichkeiten politischer Beteiligung [Zeitreihen, Daten]- Zufriedenheit mit der Kirche [Zeitreihen, Daten]- Zufriedenheit mit den demokratischen Einrichtungen [Zeitreihen, Daten] Für den Datendownload werden die Zeitreihen in Datentabellen nach der oben dargestellten Struktur thematisch zusammengefasst. Dabei bildet die erste Ebene den Tabellen-Titel. Datentabellen für den Download: - Partizipation im politischen Bereichen- Partizipation im Bereich der Arbeitswelt- Partizipation in anderen Gesellschaftsbereichen- Subjektive Bewertung The system of social indicators for the Federal Republic of Germany - developed in its original version as part of the SPES project under the direction of Wolfgang Zapf - provides quantitative information on levels, distributions and changes in quality of life, social progress and social change in Germany from 1950 to 2013, i.e. over a period of more than sixty years. With the approximately 400 objective and subjective indicators that the indicator system comprises in total, it claims to measure welfare and quality of life in Germany in a differentiated way across various areas of life and to monitor them over time. In addition to the indicators for 13 areas of life, including income, education and health, a selection of cross-cutting global welfare measures were also included in the indicator system, i.e. general welfare indicators such as life satisfaction, social isolation or the Human Development Index. Based on available data from official statistics and survey data, time series were compiled for all indicators, ideally with annual values from 1950 to 2013. Around 90 of the indicators were marked as "key indicators" in order to highlight central dimensions of welfare and quality of life across the various areas of life. The further development and expansion, regular maintenance and updating as well as the provision of the data of the system of social indicators for the Federal Republic of Germany have been among the tasks of the Center for Social Indicator Research, which is based at GESIS, since 1987. For a detailed description of the system of social indicators for the Federal Republic of Germany, see the study description under "Other documents". Participation in political areas [first level]- Political participation [time series, data]- Political interests [time series, data] Participation in the world of work [first level]- Union density [time series, data]- Trade union density (SOEP) [time series, data]- Companies with works councils [time series, data] Participation in other areas of society [first level]- Proportion of religiously affiliated people [time series, data]- Share of churchgoers [time series, data]- Proportion of club members [time series, data]- Proportion of volunteers [time series, data]- Proportion of help from neighbors and relatives [time series, data] Subjective evaluation [first level]- Satisfaction with the opportunities for political participation [time series, data]- Satisfaction with the church [time series, data]- Satisfaction with democratic institutions [time series, data]

In 2025, Luxembourg was the country with the highest gross domestic product per capita in the world. Of the 20 listed countries, 13 are in Europe and five are in Asia, alongside the U.S. and Australia. There are no African or Latin American countries among the top 20. Correlation with high living standards While GDP is a useful indicator for measuring the size or strength of an economy, GDP per capita is much more reflective of living standards. For example, when compared to life expectancy or indices such as the Human Development Index or the World Happiness Report, there is a strong overlap - 14 of the 20 countries on this list are also ranked among the 20 happiest countries in 2024, and all 20 have "very high" HDIs. Misleading metrics? GDP per capita figures, however, can be misleading, and to paint a fuller picture of a country's living standards then one must look at multiple metrics. GDP per capita figures can be skewed by inequalities in wealth distribution, and in countries such as those in the Middle East, a relatively large share of the population lives in poverty while a smaller number live affluent lifestyles.

Iceland had the highest inequality-adjusted education index score worldwide, amounting to **** out of one on the index. Germany followed with an index score of ****. The inequality-adjusted education index is the education index in the Human Development Index adjusted for inequality.