Berlin attracted the most tourist arrivals in Germany in 2023, which is perhaps to be expected. But the country has other city destinations with a lot to offer as well. Among them Hamburg in the north with the largest port in Germany and Munich, the capital of Bavaria, in the south. All three cities also have busy airports and railways. The top three Berlin recorded a significant drop in travel accommodation numbers in 2020, the year the COVID-19 pandemic began. Figures began to pick up again later, with *** establishments open in 2024, though this was still less than in previous years. The numbers may also have to do with competition from such accommodation platforms as Airbnb. Hamburg is also catching up after the pandemic in terms of tourism, with noticeably more travel arrivals recorded recently. While 2021 saw around *** million arrivals, there were already roughly *** million in 2023. Meanwhile, the average occupancy rate in Munich travel accommodation was also noticeably higher in 2022 than in previous years, with an almost ** percent total. City tourism As of 2023, around **** million people in Germany preferred city trips as a vacation. Numbers decreased somewhat in recent years. Various factors contribute to making a city attractive for tourists, among them mobility options, the ease of getting around, and spending time outside. In 2022, Germany’s largest cities were evaluated in terms of walking and cycling space availability. Munich scored highest at ** percent, followed by Cologne with ** percent and Hamburg with ** percent. That same year, these cities were also evaluated in terms of traffic safety for pedestrians and cyclists. This time, Hamburg came first at ** percent, and Berlin followed with ** percent.

Population in largest city in Germany was reported at 3576873 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Germany - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

In 2025, Moscow was the largest city in Europe with an estimated urban agglomeration of 12.74 million people. The French capital, Paris, was the second largest city in 2025 at 11.35 million, followed by the capitals of the United Kingdom and Spain, with London at 9.84 million and Madrid at 6.81 million people. Istanbul, which would otherwise be the largest city in Europe in 2025, is excluded as it is only partially in Europe, with a sizeable part of its population living in Asia. Europe’s population is almost 750 million Since 1950, the population of Europe has increased by approximately 200 million people, increasing from 550 million to 750 million in these seventy years. Before the turn of the millennium, Europe was the second-most populated continent, before it was overtaken by Africa, which saw its population increase from 228 million in 1950 to 817 million by 2000. Asia has consistently had the largest population of the world’s continents and was estimated to have a population of 4.6 billion. Europe’s largest countries Including its territory in Asia, Russia is by far the largest country in the world, with a territory of around 17 million square kilometers, almost double that of the next largest country, Canada. Within Europe, Russia also has the continent's largest population at 145 million, followed by Germany at 83 million and the United Kingdom at almost 68 million. By contrast, Europe is also home to various micro-states such as San Marino, which has a population of just 30 thousand.

Germany DE: Population in Largest City data was reported at 3,576,873.000 Person in 2024. This records an increase from the previous number of 3,573,938.000 Person for 2023. Germany DE: Population in Largest City data is updated yearly, averaging 3,388,441.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 3,576,873.000 Person in 2024 and a record low of 3,041,327.000 Person in 1983. Germany DE: Population in Largest City 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: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.;United Nations, World Urbanization Prospects.;;

Population in the largest city (% of urban population) in Germany was reported at 5.4986 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Germany - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Germany DE: Population in Largest City: as % of Urban Population data was reported at 5.535 % in 2024. This records an increase from the previous number of 5.519 % for 2023. Germany DE: Population in Largest City: as % of Urban Population data is updated yearly, averaging 5.542 % from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 6.272 % in 1960 and a record low of 5.323 % in 1982. Germany DE: Population in Largest City: as % of Urban 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: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.;United Nations, World Urbanization Prospects.;Weighted average;

Among the four largest cities in Germany, Cologne scored the highest for availability of shared bicycles and e-scooters, indicating that it had the largest number of shared micro-mobility vehicles in relation to its population size. Hamburg ranked second among the largest cities in the country.

Out of the four largest cities in Germany, Munich received the highest score for space for walking and cycling in 2022. Munich scored ** percent in the space for people category, which indicates how much road space is allocated to walking and cycling infrastructure, as well as levels of construction. Munich was followed by Cologne, which scored ** percent.

In 2024, the most populated federal state in Germany is North Rhine-Westphalia in the west, with a population of almost 18 million. The state capital is Düsseldorf. Bavaria and Baden-Württemberg in the south rounded up the top three, both with over 10 million inhabitants.

Social and economic figures for 67 large West German cities. The data aggregated at city level have been collected for most topics over several years, but not necessarily over the entire reference time period.

Topics: 1. Situation of the city: surface area of the city; fringe location in the Federal Republic.

1. Residential population: total residential population; German and foreign residential population.

2. Population movement:live births; deaths; influx; departures; birth rate; death rate; population shifts; divorce rate; migration rate; illegitimate births.

3. Education figures: school degrees; occupational degrees; university degrees.

4. Wage and income: number of taxpayers in the various tax classes as well as municipality income tax revenue in the respective classes; calculated income figures, such as e.g. inequality of income distribution, mean income or mean wage of employees as well as standard deviation of these figures; GINI index.

5. Gross domestic product and gross product: gross product altogether; gross product organized according to area of business; gross domestic product; employees in the economic sectors.

6. Taxes and debts: debt per resident; income tax and business tax to which the municipality is entitled; municipality tax potential and indicators for municipality economic strength.

7. Debt repayment and management expenditures: debt repayment, interest expenditures, management expenditures and personnel expenditures.

8. From the ´BUNTE´ City Test of 1979 based on 100 respondents per city averages of satisfaction were calculated. satisfaction with: central location of the city, the number of green areas, historical buildings, the number of high-rises, the variety of the citizens, openness to the world, the dialect spoken, the sociability, the density of the traffic network, the OEPNV prices {local public passenger transport}, the supply of public transportation, provision with culture, the selection for consumers, the climate, clean air, noise pollution, the leisure selection, real estate prices, the supply of residences, one´s own payment, the job market selection, the distance from work, the number of one´s friends, contact opportunities, receptiveness of the neighbors, local recreational areas, sport opportunities and the selection of further education possibilities.

9. Traffic and economy: airport and Intercity connection; number of kilometers of subway available, kilometers of streetcar, and kilometers of bus lines per resident; car rate; index of traffic quality; commuters; property prices; prices for one´s own home; purchasing power.

10. Crime: recorded total crime and classification according to armed robbery, theft from living-rooms, of automobiles as well as from motor vehicles, robberies and purse snatching; classification according to young or adult suspects with these crimes; crime stress figures. 12. Welfare: welfare recipients and social expenditures; proportion of welfare recipients in the total population and classification according to German and foreign recipients; aid with livelihood; expenditures according to the youth welfare law; kindergarten openings; culture expenditures per resident. 13. Foreigners: proportion of foreigners in the residential population.

11. Students: number of German students and total number of students; proportion of students in the residential population.

12. Unemployed: unemployment rate; unemployed according to employment office districts and employment office departments.

13. Places of work: workers employed in companies, organized according to area of business.

14. Government employees: full-time, part-time and total government employees of federal government, states and municipalities as well as differentiated according to workers, employees, civil servants and judges.

15. Employees covered by social security according to education and branch of economy: proportion of various education levels in the individual branches of the economy.

This statistic shows the degree of urbanization in Germany from 2013 to 2023. Urbanization means the share of urban population in the total population of a country. In 2023, 77.77 percent of Germany's total population lived in urban areas and cities. Urbanization in Germany Currently, about three quarter of the German population live in urban areas and cities, which is more than in most nations around the world. Urbanization, as it can be seen in this graph, refers to the number of people living in an urban area and has nothing to do with the actual geographical size or footprint of an area or country. A country which is significantly bigger than Germany could have a similar degree of urbanization, just because not all areas in the country are inhabitable, for example. One example for this is Russia, where urbanization has reached comparable figures to Germany, even though its geographical size is significantly bigger. However, Germany’s level of urbanization does not make the list of the top 30 most urbanized nations in the world, where urbanization rates are higher than 83 percent. Also, while 25 percent of the population in Germany still lives in rural areas, rural livelihoods are not dependent on agriculture, as only 0.75 percent of GDP came from the agricultural sector in 2014. So while Germany's urbanization rate is growing, a significant percentage of the population is still living in rural areas. Furthermore, Germany has a number of shrinking cities which are located to the east and in older industrial regions around the country. Considering that population growth in Germany is on the decline, because of low fertility rates, and that a number of cities are shrinking, the urban population is likely shifting to bigger cities which have more economic opportunities than smaller ones.

Chart and table of population level and growth rate for the Berlin, Germany metro area from 1950 to 2025.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Out of the four largest cities in Germany, Hamburg was scored the safest for walking and cycling in 2022. The northern German city scored ** percent in the safe roads category, which indicates how many pedestrian and cyclist fatalities occurred in the city in relation to its population.

Content

A dataset of counties that are representative for Germany with regard to

the average disposable income,

the quota of divorces,

the respective quotas of employees working in the services (excluding logistics, security, and cleaning) and the MINT sectors,

the proportions of age groups in the total proportion of the respective population, with age groups in five-year strata for the population aged between 30 and 65 and the population in the age range between 65 and 75 each considered separately for the calculation of representativeness.

In addition, data from the four big cities Berlin, München (Munich), Hamburg, and Köln (Cologne) were collected and reflected in the dataset.

The dataset is based on the most recent data available at the time of the creation of the dataset, mainly deriving from 2022, as set out in detail in the readme.md file.

Method applied

The selection of the representative counties, as reflected in the dataset, was performed on the basis of official statistics with the aim of obtaining a confidence rate of 95%. The selection was based on a principal component analysis of the statistical data available for Germany and the addition of the regions with the lowest population density and the highest and lowest per capita disposable income. A check of the representativity of the selected counties was performed.

In the case of Leipzig, the city and the district had to be treated together, in deviation from the official territorial division, with respect to a specific use case of the data.

The lack of a recent summarizing description of population density in Germany that contains detailed information of pre-industrial times motivated the author of this study to undertake an analysis of population history of Northern Germany between 1740 and 1840. The goal of the study is to analyze the development of population regarding different aspects of population history and historical demographics. The author tries to connect geographic data with family data and then he relates it with economic, political and cultural development. The main part of the study ‘population dynamics’ gives an overview over demographic developments in a century characterized by demographic changes. Insights in the general changes in population size, the phases of Northern German population development and in relevant components for increases in population (e.g. decrease in mortality) are given. Finally the population determinants are developed, first in a concrete regional historic context of some areas (Marsch, nordwestliches Binnenland, Münsterland, Ostwestfalen, Ostelbien) and then more general external factors are included in the analysis. The generative structure of pre-industrial population, the industrial development, seasonal work and colonization are covered. There is an extra chapter on the development of urban population which includes the factors: urbanization, decrease in mortality, first signs of birth controls and migration. These regional considerations are opposed to an investigation of the general framework of demographical changes. In this context also grain prices and prevention from smallpox are taken into account.

Systematic of the data:

Sub-regions: 1. Holstein 2. The Hanseatic cities 3. Mecklenburg and Wester Pomerania
4. Prussia’s middle provinces
5. Core area of Lower Saxony 6. Weser-Ems-Area 7. Westphalia

Topics: 1. Births (excl. still births) 2. Deaths (incl. still births) 3. Still births 4. Marriages 5. Illegitimate births
6. Infant and child mortality 7. Population status

Mortality tables: A. Holstein (Propsteien) 1775/98, 1801/05 B. East Friesland 1775/98, 1835/39 C. County of Mark und märkische Kreise 1775/98, 1820/34 D. Kurmark 1775/98, 1835/39

Register of data tables: - Probability of death decennially in the German Reich 1881/90 - Handed down census results from Braunschweig-Lüneburg - Advances is historical tables of Westphalia
- Migration balances of Prussian government districts 1816-1840 - Population and households in Hamburg 1764-1824 - Population in Northern Germany and Germany - Approximated values for net migration 1751-1840 - Age specific decline in mortality 1775/98-1835/39 - Decline in child mortality - Fertility and marriage behavior by family reconstruction - Proportion of singles by department s and arrodissements 1811 - Average age at birth ca. 1740-ca.1840 - Regression analysis on deaths (excl. children) – marriages - Regional differences in population increases - Population density and mortality 1780-1799 - Population balances of Marschgebiete und der Fehmarn Island - Population balances of North Western Germany (without Küstenmarsch) - Budget structures of the parish Vreden 1749 - Population balances of areas with high industry densities - Budget structures of County of Mark 1798 - Budget structures in Minden-Ravensburg and Tecklenburg 1798 - Natality, mortality and cottage industry in Ravensberg 1788-1798 - North Western German areas with low birth rates
- Colonists resident in Prussia 1740-1786 - Social structure of rural population 1750 – 1790/98 - Social structure of rural population in Halberstädter - Urban population (legal definition of city) - Mortality due to tuberculosis in rural and urban areas - Average mortality rates in large cities
- Infant mortality and decline in mortality in Berlin S - Rural and urban migration balances 1741/1778-1840 - Birth rates - Cumulative elasticity of population movement - Average marriage rates in Hannover in comparison - Mortality due to smallpox - Share of infant and child mortality due to smallpox -Magnitude of the decrease in child mortality - Reduction of infant mortality - Regional differences in the decline in infant mortality

The data can be requested via order form or by personal request via email or telephone. PDF-form and contact data: http://www.gesis.org/dienstleistungen/daten/daten-historische-sozialf/querschnittsdaten/

As of mid-2023, Hamburg was the German city with the highest public electric vehicle charging infrastructure index score, at ** percent. Munich was the only other German city with a score above ** percent.

The author statistically depicts the population growth of the largest German cities between 1871 and 1910. He uses the official statistics. He breaks down the cities into zones in order to make their development comparable.In order to do this, he used the term agglomeration, with which he refers to the contiguous built-up area, with developed infrastructure as well as traffic routes and rail traffic, and their population. In order to find as uniform a demarcation as possible, he delimits the areas of the respective cities by drawing circles whose radius starts from the center of the city and is 10 km long. This is the entire agglomeration, which finally differentiates it into the inner agglomeration and outer agglomeration. The inner agglomeration is located within 5 km of the city center. The outer agglomeration refers to the areas at a distance of 5 to 10 km around the city center. The following cities are being investigated by him:Aachen; Augsburg; Berlin; Braunschweig; Bremen; Breslau (Wroclaw); Kassel (in the data old spelling: Cassel); Chemnitz; Cologne (in the data old spelling: Cöln); Krefeld (in the data old spelling: Crefeld); Danzig; Dortmund; Dresden; Dusseldorf; Duisburg; Elberfeld; Erfurt; Essen; Frankfurt a. Main; Halle; Hannover; Karlsruhe; Kiel; Koenigsberg; Leipzig; Magdeburg; Mainz; Mannheim; Munich; Nuremberg; Plauen; Posen; Saarbrücken; Stettin; Strasbourg; Stuttgart. Variables are the city area, the inhabitants of the city as a whole, the population as an index on the basis of 1971 = 100, the inhabitants of the territories incorporated into the cities between 1871 and 1910, and the population density of the city and the incorporated areas. Reporting years are 1871, 1880, 1890,1900, and 1910. The data has been classified in the online database histat (https://histat.gesis.org/histat/) under the topic ´population´.

The city of Paris in France had an estimated gross domestic product of 757.6 billion Euros in 2021, the most of any European city. Paris was followed by the spanish capital, Madrid, which had a GDP of 237.5 billion Euros, and the Irish capital, Dublin at 230 billion Euros. Milan, in the prosperous north of Italy, had a GDP of 228.4 billion Euros, 65 billion euros larger than the Italian capital Rome, and was the largest non-capital city in terms of GDP in Europe. The engine of Europe Among European countries, Germany had by far the largest economy, with a gross domestic product of over 4.18 trillion Euros. The United Kingdom or France have been Europe's second largest economy since the 1980s, depending on the year, with forecasts suggesting France will overtake the UK going into the 2020s. Germany however, has been the biggest European economy for some time, with five cities (Munich, Berlin, Hamburg, Stuttgart and Frankfurt) among the 15 largest European cities by GDP. Europe's largest cities In 2023, Moscow was the largest european city, with a population of nearly 12.7 million. Paris was the largest city in western Europe, with a population of over 11 million, while London was Europe's third-largest city at 9.6 million inhabitants.

The present study is an exemplary analysis of the development and the changes of living in a big city of the 19th century. The study tries to develop indicators for the evaluation of the urban housing provision during the process of urbanization that relate occurrence and extent of housing shortage with quantifiable standards of housing provision looking at the example of Hamburg in the second part of the 19th century. Thereby a long term analysis of the material circumstances of housing conditions will be shown and at the same time the concept of housing shortage in its historical relativity through a comparison with the living conditions in the Federal Republic of Germany will be clarified. Based on this, in the second step standards and social disparities of housing in their social stratification and in its urban structure change will be examined. In how far the example of Hamburg in the late 19th century can be generalized will be reviewed through a comparison of housing types and housing provision levels of German cities using a cross-sectional comparison of 1905. “Based on a comparison of metropolitan living situations it will be attempted to show the level and extend of disparities in the housing provision in the late 19th century using a typology of metropolitan housing structures. We assume that the housing structure of a city can only be represented in a very imperfect way using a more or less arbitrary chosen random variable. Much more information can be derived from the correlation of many different characteristics of the basic structure of urban housing, that can be understood as quasi-independent variables and that build the basis of the comparison. For a hierarchical cluster analysis with 27 variables 30 cities were considered for statistical classification and an empirical typecast. The used data is based on statistical housing surveys of German cities that were made in the context of the population census from the first December of 1905 and on the information if the profession and establishment census from July 1907. Three fourth of the cities (with more than 100.000 inhabitants) of the German Empire were selected” (Wischermann, a. cit., p. 401).“The excellent public statistics from Hamburg were, especially in the turn of the century, adjusted with many private surveys. Therefor the state of the quantitative sources for Hamburg is probably the best one of the German Empire… The situation of the sources for the investigation of the development of the housing circumstances in the 19th century in Hamburg is better than in other parts of Germany. This data basis enabled this study going back until the beginning of the industrialization; it enabled the investigation of one of the most important German case studies of changes in urban housing in the 19th century in a city that was at the frontier of English, French and Berlin zones of influence on the development of living circumstances in Germany. It is also a paradigm for the investigation of structural changes of housing within a city under the impact of economic transitions (extension of the harbor), hygienic innovation (since the cholera epidemic) and several urban development projects. Especially in the German urbanization period quality and structure of housing in the developing cities are connected with the urban area and the socio-spatial differentiation of housing in an extent that has not been known so far.” (Wischermann, a. cit., p. 13, p. 15). Data tables in HISTAT:(In addition, the cross-sectional data for 1905 for cluster analysis of German cities (30 cities, 27 variables for the year 1905) can be ordered at the GESIS data archive number ZA8474). A. Tables from the appendixA.01 Development of the population in the inner city and the suburbs of Hamburg (1817-1866)A.02 Housing stock in the inner city and the suburbs of Hamburg (1817-1866)A.03 Present local population of Hamburg and the districts (1867-1910)A.04 Movement of the population in Hamburg (1864-1913)A.05 The population density of Hamburg’s districts (1871-1910)A.06 Housing stock density of Hamburg’s districts(1867-1910)A.07 The provision level of housing in Hamburg (1867-1912)A.08 Internal density of Hamburg and its districts A: residents per room without kitchens (1885-1910)A.09 Internal density of Hamburg and its districts B: inhabitants per heated room (1885-1910)A.10 Occupancy of Hamburg and its districts: residents per apartment (1867-1910)A.11 Empty rooms and their rental value in Hamburg (1866-1913)A.12 Empty rooms in Hamburg and its districts (1867-1910) A.13 New construction, alteration and demolition statistics of the city of Hamburg (1885-1912)A.14 Small housing production in Hamburg (1896-1912)A.15 Landowner relations in Hamburg (1875-1910)A.16 Development of floor living in Hamburg (1867-1910)A.17 Residents after number of floors on Hamburg (1867-1910)A.18 Basement apartments in the districts of Hamburg (1867-1910)A.19 Apartments in the back building in Ham...