GDP per Capita: East Germany incl Berlin data was reported at 41,858.000 EUR in 2024. This records an increase from the previous number of 40,727.000 EUR for 2023. GDP per Capita: East Germany incl Berlin data is updated yearly, averaging 23,386.500 EUR from Dec 1991 (Median) to 2024, with 34 observations. The data reached an all-time high of 41,858.000 EUR in 2024 and a record low of 9,826.000 EUR in 1991. GDP per Capita: East Germany incl Berlin data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.A054: ESA 2010: GDP per Capita: by Region.

In 1950, at the end of the recovery period that followed the Second World War, GDP per capita across the Eastern Bloc varied greatly by country. Czechoslovakia, the most industrialized country in the Bloc after East Germany, had a GDP per capita that was 69 percent of the rate across Western European** countries. In contrast, Romania's GDP per capita was less than a quarter of the Western European average in 1950. 1950-1989 Generally speaking, Eastern European economies grew faster and made gains on those of the west (not including Mediterranean region) in the 1950s and 1960s, however, a series of recessions and increasing debts meant that this gap widened in the 1970s and 1980s. By 1989, as communism in Europe came to an end, the difference between overall GDP per capita in the Eastern and Western Blocs returned to a similar rate as in 1950, although it varied by country. The Soviet Union, Czechoslovakia, and Poland, three of the larger economies of those given, had a lower share of western GDP per capita in 1989 than in 1950, while the smaller economies of the Balkans saw an increase. 1989-2000 Between 1989 and 2000, the European Union's GDP per capita grew faster than in the former Eastern Bloc countries. However, the end of communism did negatively impact EU economies in the early 1990s. Poland was the only Eastern Bloc country to make gains on the west in these years, although this was more to do with its poor economy in the 1980s. The former-Soviet states, in particular, saw GDP per capita drop below one-quarter of the European Union's rate over this decade, as post-Soviet economic recovery did not realistically begin until the late 1990s.

Germany’s GDP per capita stood at almost 54,989.76 U.S. dollars in 2024. Germany ranked among the top 20 countries worldwide with the highest GDP per capita in 2021 – Luxembourg, Ireland and Switzerland were ranked the top three nations. Rising annual income in Germany The average annual wage in Germany has increased by around 5,000 euros since 2000, reaching in excess of 39,000 euros in 2016. Germany had the tenth-highest average annual wage among selected European Union countries in 2017, ranking between France and the United Kingdom. Growing employment More than two thirds of the working population in Germany are employed in the service sector, which generated the greatest share of the country’s GDP in 2018. Unemployment in Germany soared to its highest level in decades in 2005, but the rate has since dropped to below 3.5 percent. The youth unemployment rate in Germany has more than halved since 2005 and currently stands around 6.5 percent.

Historical chart and dataset showing Germany GDP by year from 1960 to 2023.

In the immediate aftermath of the Second World War, Germany was split into four zones, each administered by France, the United Kingdom, the United States and the Soviet Union respectively. In 1949, the Soviet-controlled zone formed the German Democratic Republic (East Germany), while the rest became the Federal Republic of Germany (West Germany). In this time, Berlin was also split into four zones, and the three non-Soviet zones formed West Berlin, which was a part of West Germany (although the West's administrative capital was moved to Bonn). One population grows, while the other declines Between 1949 and 1961, an estimated 2.7 million people migrated from East to West Germany. East Germany had a communist government with a socialist economy and was a satellite state of the Soviet Union, whereas West Germany was a liberal democracy with a capitalist economy, and western autonomy increased over time. Because of this difference, West Germany was a much freer society with more economic opportunities. During the German partition, the population of the west grew, from 51 million in 1950 to 62.7 million in 1989, whereas the population of East Germany declined from 18.4 million to just 16.4 million during this time. Little change after reunification In 1989, after four decades of separation, the process of German reunification began. The legal and physical barriers that had split the country were removed, and Germans could freely travel within the entire country. Despite this development, population growth patterns did not change. The population of the 'new states' (East Germany) continued to decline, whereas the population of the west grew, particularly in the 1990s, the first decade after reunification. The reasons for this continued imbalance between German population in the east and west, is mostly due to a low birth rate and internal migration within Germany. Despite the fact that levels of income and unemployment in the new states have gotten closer to those reported for the west (a major obstacle after reunification), life and opportunities in the west continue to attract young Germans from rural areas in the east with detrimental effect on the economy and demography of the new states.

By order of the OECD the researcher Agnus Maddison repeatedly published in the framework of worldwide investigations the estimations on the GDR-Data, among other things on the GDP at constant prices for the period between 1950 and 1989. According to the sources of the two publications (1995 and 2000) the data based to a large extension on estimations of Thad P. Alton. The publication of 2001 contains data on the GDR’s GDP for selected years.

Datatables in Downloadsystem HISTAT (Topic: National Accounts - Volkswirtschaftliche Gesamtrechnung):

A-d Die Auswirkung der Grenzveränderungen in Deutschland auf das Bruttoinlandsprodukt (1820-1991) (The impact of border changes in Germany´s gross domestic product.)

B.6 Gebietsbezogene Angaben für Deutschland: Bruttoinlandsprodukt, Bevölkerung und Bruttoinlandsprodukt pro Kopf (1936, 1990) (Area-based data for Germany: Gross domestic product, population and gross domestic product per capita)

B.7 Schätzungen für das Volkseinkommen/Bruttoinlandsprodukt zu konstanten Preisen (1950=100) für die ehemalige DDR (1936-1989) (Estimates of national income / gross domestic product at constant prices (1950 = 100) for the former GDR)

T.81 Vergleich von Berechnungen zur Entwicklung des BIP der DDR, 1950=100 (1950-1989) (Comparison of computation for the development of the GDP of East Germany, 1950 = 100 (1950-1989))

This dataset provides values for GDP PER CAPITA PPP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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.

In the 16 years leading up to the First World War, the growth of GDP per capita varied across Europe, from growth rates of just six percent in the Netherlands, to 37 percent in Denmark. Of the major powers, France and Germany experienced the largest growth in this period, at 32 percent growth each, while Britain's growth was roughly half of this. It is important to remember, that the GDP per capita, along with economic development and industrialization, varied across Europe in this time period. For these reasons, Central and Eastern Europe had a higher overall GDP per capita growth rate than Western Europe, although Western Europe was much more advanced due to where its economy was in 1897.

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 observe 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 dashboard, 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".
The data on the area of life ´Income and Income Distribution´ is composed as follows:

Level and growth: Net national income (net national product) per inhabitant in constant prices (in euros), growth of the net national product per inhabitant, ratio of household income in old/new federal states (SOEP). Inequality in the income dimension: concentration of net income (EVS), concentration of net income (SOEP), share of income of the poorest 20% of the population, share of income of the richest 10% of the population. Poverty in the income dimension: Poverty rate for relative poverty - overall/West/East specific 40% poverty threshold (EVS), poverty rate for relative poverty - overall/West/East specific 40% poverty threshold (SOEP), poverty rate for relative poverty - overall /West/East specific 50% poverty threshold (EVS), poverty rate for relative poverty - overall/West/East specific 60% poverty threshold (SOEP), poverty rate for relative poverty - overall/West/East specific 60% poverty threshold (EVS), Poverty Gap Ratio. Performance adequacy of income: multiple of factor income (EVS), multiple of labor income (EVS), multiple of labor income (SOEP). Assessment of income: satisfaction with household income (SOEP), concern about one´s own economic situation, importance of income. Poverty in the consumption dimension: poverty rate for consumption poverty - 50% line (EVS), poverty rate for consumption poverty - 60% line (EVS). Inequality in the consumption dimension: Concentration of consumer spending (EVS).

OverviewThe protective effect of infant pneumococcal conjugate vaccine (PCV) recommendation can be seen in Germany as a whole and in smaller regional groups. Comparisons between population-normalized geographic regions of Germany show different serotype distributions after program implementation, particularly in non-vaccine serotypes. The prior distinct differences in serotype distribution in children between the former East and former West German federal states have vanished. Children under six remain a vulnerable group, but the occurrence of vaccine-type (VT) invasive pneumococcal disease (IPD) in children correctly vaccinated (using a three-dose primary series plus one booster dose) with PCV13 was low (9 out of 374 cases, 2.4%). However, only 18.4% of children in Germany with IPD were correctly vaccinated with PCV13 according to the recommended schedule. Continued surveillance and better schedule adherence are essential to definitively establish the most effective PCV administration schedule.Vaccination effectsFor all PCV products used in Germany (PCV7, PCV10, and PCV13), vaccination status was the most common statistically significant predictor of infection with a particular serotype: Unvaccinated children old enough to have received at least one dose of vaccine in the PCV7 group had significantly higher odds (OR: 6.84, 95%CI: 2.66–22.06, adjusted for per capita income and residence in the northeastern federal states) of contracting VT IPD. In the PCV10 group, VT IPD had an OR of 4.52 (95% CI: 1.60–15.62, adjusted for year of infection, median household size, and residence in the southern federal states) in unvaccinated children, and in the PCV13 group, unvaccinated children continued to have higher odds (OR: 6.21, 95%CI: 3.45–11.36, adjusted for year of infection, age of child, per capita income, residence in the southern federal states, and percentage of children using public daycare) of getting vaccine-type IPD. Being unvaccinated was the most frequent significant indicator for infection with vaccine-type serotypes for each analysis group, while geographic groupings showed more limited potential to predict serotype of infection in early childhood IPD in Germany.

人均国内生产总值：东德，包括柏林在12-01-2024达41,858.000欧元，相较于12-01-2023的40,727.000欧元有所增长。人均国内生产总值：东德，包括柏林数据按年更新，12-01-1991至12-01-2024期间平均值为23,386.500欧元，共34份观测结果。该数据的历史最高值出现于12-01-2024，达41,858.000欧元，而历史最低值则出现于12-01-1991，为9,826.000欧元。CEIC提供的人均国内生产总值：东德，包括柏林数据处于定期更新的状态，数据来源于Statistisches Bundesamt，数据归类于全球数据库的德国 – Table DE.A054: ESA 2010: GDP per Capita: by Region。

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Urban Planning Software Market Size 2024-2028

The Urban Planning Software Market size is estimated to grow by USD 4.05 billion at a CAGR of 7.81% between 2023 and 2028. Infrastructure development is a priority area for many governments and organizations worldwide, driven by increasing investments and a growing focus on building smart cities. This trend is fueled by several factors, including the expanding middle-class population and the need for efficient, modern infrastructure to support economic growth and improve quality of life. Infrastructure projects encompass various sectors, such as transportation, energy, water supply, and telecommunications, and require significant capital investment and advanced technology. As a result, the infrastructure industry is poised for continued growth and innovation, offering opportunities for businesses and investors alike.

What will be the size of the Market During the Forecast Period?

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Market Dynamics

The market is witnessing significant growth due to the increasing number of non-residential construction projects and infrastructure development activities in response to the growing urban population. City planners are leveraging technology to efficiently manage and design urban spaces. The market is segmented into components, which include software and services, and segments, such as the cloud-based segment and web-based segment. Government bodies are also investing in urban planning software to optimize budgets and implement smart city technologies. Emerging countries are leveraging technology advancements and cloud software to enhance construction processes and infrastructure development, with a focus on designing residential buildings, roads, bridges, and rail systems, supported by skilled professionals and real estate companies, while government agencies and service companies implement training programs and resource management solutions to optimize engineering and architectural plans. The latest trends include the integration of 5G technology and data centers to enhance the functionality and efficiency of these tools. Open-source software is gaining popularity due to its cost-effectiveness and flexibility. The United Nations (UN) has emphasized the importance of urban planning to address the challenges of urbanization and sustainability. Urban planning software plays a crucial role in this regard, enabling city planners to create harmonious and livable urban spaces. The market is expected to continue its growth trajectory in the coming years, driven by the increasing demand for efficient and technologically advanced urban planning solutions.

Key Market Driver

One of the key factors driving the market growth is the growing middle-class population. The increasing middle-class population in developing countries in APAC, South America, and MEA is expected to significantly contribute to the market growth. In addition, there is an increase in per capita income due to the rapidly increasing economic activities in developing economies such as China, India, Argentina, Indonesia, and South Africa.

Moreover, the rise in the gross domestic product (GDP) per capita in these countries is also fuelling the rise in the disposable income of the population. In addition, a majority of the population is opting for long-term investment opportunities due to factors such as rapid industrial, manufacturing, and economic developments in these countries, fuelled by urbanization. As a result, there is an increasing adoption of software for different real-estate projects. Hence, such factors are positively impacting the market which, in turn, will drive the growth during the forecast period.

Significant Market Trend

A key factor shaping the market growth is the use of blockchain technology in software. There is a rapid advancement in technologies that can resolve the challenges associated with the openness of data and procedures in the market. The advent of blockchain technology enables transparency at all levels of activity in urban planning making it effective.

Moreover, the main advantage of using blockchain in urban planning is that there is a reduction in fraud and transaction duplication as every record is encrypted. Furthermore, the implementation of blockchain offers smooth and quick transactions by doing away with the necessity for a middleman. Hence, such factors are positively impacting the market trends which in turn will drive the market growth during the forecast period.

Major Market Challenge

The threat of open-source urban planning software is one of the key challenges hindering growth. There is a growing popularity for open-source software which poses a significant threat to the market. There is an increasing preference for open-source software as it is widely available on the Internet and can be downloaded easily.

Moreover, open-source software

Irans Bip Pro Kopf belief sich im 2021 auf 11,556.954 US Dollar. Dies stellt einen Anstieg im Vergleich zu den vorherigen Zahlen von 7,842.602 US Dollar für 2020 dar. Irans Bip Pro Kopf werden jährlich aktualisiert, mit einem Durchschnitt von 2,962.524 US Dollar von 1960 bis 2021, mit 62 Beobachtungen. Die Daten erreichten ein Allzeithoch in Höhe von 14,199.317 US Dollar im 1992 und ein Rekordtief in Höhe von 185.008 US Dollar im 1960. Irans Bip Pro Kopf Daten behalten den Aktiv-Status in CEIC und werden von CEIC Data gemeldet. Die Daten werden unter World Trend Pluss Global Economic Monitor – Table: GDP Per Capita: USD: Annual: Middle East and Africa kategorisiert.

Ägyptens Bip Pro Kopf belief sich im 2022 auf 4,585.331 US Dollar. Dies stellt einen Anstieg im Vergleich zu den vorherigen Zahlen von 4,170.937 US Dollar für 2021 dar. Ägyptens Bip Pro Kopf werden jährlich aktualisiert, mit einem Durchschnitt von 1,538.022 US Dollar von 1982 bis 2022, mit 41 Beobachtungen. Die Daten erreichten ein Allzeithoch in Höhe von 4,585.331 US Dollar im 2022 und ein Rekordtief in Höhe von 750.194 US Dollar im 1982. Ägyptens Bip Pro Kopf Daten behalten den Aktiv-Status in CEIC und werden von CEIC Data gemeldet. Die Daten werden unter World Trend Pluss Global Economic Monitor – Table: GDP Per Capita: USD: Annual: Middle East and Africa kategorisiert.

The fastest growing economy in Europe in 2024 was Malta. The small Mediterranean country's gross domestic product grew at five percent in 2024, beating out Montenegro which had a growth rate of almost four percent and the Russian Federation which had a rate of 3.6 percent in the same year. Estonia was the country with the largest negative growth in 2024, as the Baltic country's economy shrank by 0.88 percent compared with 2023, largely as a result of the country's exposure to the economic effects of Russia's invasion of Ukraine and the subsequent economic sanctions placed on Russia. Germany, Europe's largest economy, experience economic stagnation with a growth of 0.1 percent. Overall, the EU (which contains 27 European countries) registered a growth rate of one percent and the Eurozone (which contains 20) grew by 0.8 percent.

Marokkos Bip Pro Kopf belief sich im 2021 auf 3,934.243 US Dollar. Dies stellt einen Anstieg im Vergleich zu den vorherigen Zahlen von 3,375.282 US Dollar für 2020 dar. Marokkos Bip Pro Kopf werden jährlich aktualisiert, mit einem Durchschnitt von 1,062.255 US Dollar von 1960 bis 2021, mit 62 Beobachtungen. Die Daten erreichten ein Allzeithoch in Höhe von 3,934.243 US Dollar im 2021 und ein Rekordtief in Höhe von 150.155 US Dollar im 1961. Marokkos Bip Pro Kopf Daten behalten den Aktiv-Status in CEIC und werden von CEIC Data gemeldet. Die Daten werden unter World Trend Pluss Global Economic Monitor – Table: GDP Per Capita: USD: Annual: Middle East and Africa kategorisiert.

Sambias Bip Pro Kopf belief sich im 2015 auf 1,375.334 US Dollar. Dies stellt einen Rückgang im Vergleich zu den vorherigen Zahlen von 1,805.711 US Dollar für 2014 dar. Sambias Bip Pro Kopf werden jährlich aktualisiert, mit einem Durchschnitt von 1,172.299 US Dollar von 2000 bis 2015, mit 16 Beobachtungen. Die Daten erreichten ein Allzeithoch in Höhe von 1,925.075 US Dollar im 2013 und ein Rekordtief in Höhe von 367.701 US Dollar im 2000. Sambias Bip Pro Kopf Daten behalten den Aktiv-Status in CEIC und werden von CEIC Data gemeldet. Die Daten werden unter World Trend Pluss Global Economic Monitor – Table: GDP Per Capita: USD: Annual: Middle East and Africa kategorisiert.

Kuwaits Bip Pro Kopf belief sich im 2020 auf 22,682.592 US Dollar. Dies stellt einen Rückgang im Vergleich zu den vorherigen Zahlen von 28,515.505 US Dollar für 2019 dar. Kuwaits Bip Pro Kopf werden jährlich aktualisiert, mit einem Durchschnitt von 25,809.319 US Dollar von 1993 bis 2020, mit 28 Beobachtungen. Die Daten erreichten ein Allzeithoch in Höhe von 45,517.854 US Dollar im 2012 und ein Rekordtief in Höhe von 11,422.937 US Dollar im 1998. Kuwaits Bip Pro Kopf Daten behalten den Aktiv-Status in CEIC und werden von CEIC Data gemeldet. Die Daten werden unter World Trend Pluss Global Economic Monitor – Table: GDP Per Capita: USD: Annual: Middle East and Africa kategorisiert.