Germany GDP: Berlin data was reported at 207.058 EUR bn in 2024. This records an increase from the previous number of 197.924 EUR bn for 2023. Germany GDP: Berlin data is updated yearly, averaging 98.741 EUR bn from Dec 1991 (Median) to 2024, with 34 observations. The data reached an all-time high of 207.058 EUR bn in 2024 and a record low of 68.403 EUR bn in 1991. Germany GDP: Berlin data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.A052: ESA 2010: GDP: by Region.

A 2023 study analyzed the direct contribution of travel and tourism to Berlin's gross domestic product (GDP). As estimated, these industries' direct contribution to GDP in the German capital was expected to reach nearly 6.6 billion euros in 2022. While this figure denotes a sharp increase compared to the first two years of the coronavirus (COVID-19) pandemic, it did not catch up yet with pre-pandemic levels.

GDP: East Germany incl Berlin data was reported at 685.325 EUR bn in 2024. This records an increase from the previous number of 666.738 EUR bn for 2023. GDP: East Germany incl Berlin data is updated yearly, averaging 377.665 EUR bn from Dec 1991 (Median) to 2024, with 34 observations. The data reached an all-time high of 685.325 EUR bn in 2024 and a record low of 177.470 EUR bn in 1991. GDP: 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.A052: ESA 2010: GDP: by Region.

Growth fluctuations, like short-term cyclical fluctuations, can be measured by various indicators. In the 19th century, the economic situation was evaluated mainly on the grounds of easily observable data on prices. Current research, in contrast to this, measures the economic cycle principally by the national product, apart from other multivarious indicators. In modern business cycle research, this method is preferred because it comprises the overall economic activity of a country, whereas diffusion-related indices only regard parts of a national economy.This study by Carl-Ludwig Holtfrerich completes Walter G. Hoffmanns calculations on the origin of gross value added (cf. Hoffmann W. G., 1965: The Growth of the German Economy Since the Middle of the 19th Century. Berlin: Springer). The principal item of Hoffmanns study is the estimation by origin on the basis of sub-sectoral physical quantities of production and sub-sectoral employment figures. This estimation by origin results in the best data quality because the economic output of numerous sectors was recorded already from the middle of the 19th century on. Nevertheless, figures on the production of the tertiary sector are almost completely missing. In this respect, the calculation of the index of industrial production constitutes the main problem, and Hoffmann, among others, assumes that the relative sub-sectoral labour productivities had remained constant during the years 1850 and 1959.Moreover, Hoffmann utilises the added value structure of nine economical sectors in 1913 as a constant factor for the aggregation of sector indices for the production in the German economy. In contrast to that, Holtfrerich relies on a calculation method using a streamlined added value structure for each year in the entire period between 1850-1913 to determine the growth rates in the different sectors. Thereby, the author aims at aggregating information on the annual growth rate for the German national economy.It is remarkable that the growth rates of the German net domestic product thus calculated are higher than the rates found by Hoffmann. However, such differences have generally decreased in the years before 1913 because the weighting structures of both methods approached each other in the course of time. The named differences reached their maximum in the period of the so-called “take off” phase of the German industrialisation up to 1874; during this period, they accounted for up to 0.4 percentage points on an perennial average. Thereby the annual growth rates determined by Hoffmann have been corrected by up to 13% upwards. Topics: Tables in the ZA-Onlinedatabase HISTAT: A. Selected tables by W.G. Hoffmann: The Growth of the German Economy Since the Middle of the 19th Century. Berlin (loc. cit.): Springer.- Hoffmann: Earned income per economic sector in Germany in relation to the price current (1850-1930)- Hoffmann: Distribution of the net national product, measured by factor costs and price current (1850-1913)- Hoffmann: Added value per economic sector in the prices of 1913 (1850-1913)- Hoffmann: Production per economic sector, index 1913=100 (1850-1913) B. Tables from: Carl-Ludwig Holtfrerich, The German Net Domestic Product Compared to Factor Costs, index 1913=100, and annual growth factors (1850-1913)- Added value in Germany per economic sector in relation to the price current (1850-1913)- Net domestic product in relation to factor costs, index 1913=100, and annual growth factors of the net domestic product in relation to factor costs (1850-1913)- Comparison of the average growth rate (per year) for different periods (1850-1913)

GDP: West Germany excl Berlin data was reported at 3,619.935 EUR bn in 2024. This records an increase from the previous number of 3,518.812 EUR bn for 2023. GDP: West Germany excl Berlin data is updated yearly, averaging 2,140.880 EUR bn from Dec 1991 (Median) to 2024, with 34 observations. The data reached an all-time high of 3,619.935 EUR bn in 2024 and a record low of 1,414.140 EUR bn in 1991. GDP: West Germany excl Berlin data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.A052: ESA 2010: GDP: by Region.

Registered Unemployment Rate: East Germany: Berlin Brandenburg data was reported at 8.800 % in Mar 2025. This stayed constant from the previous number of 8.800 % for Feb 2025. Registered Unemployment Rate: East Germany: Berlin Brandenburg data is updated monthly, averaging 12.200 % from Apr 1997 (Median) to Mar 2025, with 336 observations. The data reached an all-time high of 20.100 % in Feb 2005 and a record low of 6.700 % in Nov 2019. Registered Unemployment Rate: East Germany: Berlin Brandenburg data remains active status in CEIC and is reported by Federal Employment Agency. The data is categorized under Global Database’s Germany – Table DE.G021: Registered Unemployment Rate.

Germany GDP per Capita: Berlin data was reported at 54,607.000 EUR in 2024. This records an increase from the previous number of 52,518.000 EUR for 2023. Germany GDP per Capita: Berlin data is updated yearly, averaging 30,255.500 EUR from Dec 1991 (Median) to 2024, with 34 observations. The data reached an all-time high of 54,607.000 EUR in 2024 and a record low of 19,907.000 EUR in 1991. Germany GDP per Capita: 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.

Graph and download economic data for Bond Yields for Berlin, Germany (M1328BDE00BERM156NNBR) from Aug 1924 to Jan 1931 about Berlin, Germany, bonds, yield, interest rate, interest, and rate.

Graph and download economic data for Number of Residential Buildings Constructed and Inspected for Berlin, Germany (M0080ADE00BERM470NNBR) from Jan 1902 to Dec 1918 about Berlin, Germany, buildings, residential, and construction.

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.

Economic data and organ data of the participating companies of the state of Berlin

The benchmark interest rate in Germany was last recorded at 4.50 percent. This dataset provides - Germany Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Provision of 14 documents (14 XLS files) covering the period from 31 December 2003 to 31 December 2015, covering Berlin and Germany.

Germany FSO Projection: Population: Berlin data was reported at 3,929.000 Person th in 2060. This records a decrease from the previous number of 3,930.000 Person th for 2059. Germany FSO Projection: Population: Berlin data is updated yearly, averaging 3,875.000 Person th from Dec 2014 (Median) to 2060, with 47 observations. The data reached an all-time high of 3,931.000 Person th in 2057 and a record low of 3,471.000 Person th in 2014. Germany FSO Projection: Population: Berlin data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.G002: Population: Projection: Federal Statistics Office Germany.

Graph and download economic data for Housing Inventory: Median Listing Price Year-Over-Year in Berlin, NH-VT (CBSA) (MEDLISPRIYY13620) from Jul 2017 to Dec 2024 about Berlin, VT, NH, listing, median, price, and USA.

In 2023, the total contribution of travel and tourism to Germany's gross domestic product (GDP) nearly recovered from the impact of the COVID-19 pandemic, being around *** percent lower than in 2019. Overall, the total contribution of these industries to the country's GDP amounted to just over *** billion euros in 2023. This figure was expected to reach an estimated ***** billion euros in 2024.

Registered Unemployment Rate: East Germany: DL: Berlin Brandenburg data was reported at 9.800 % in Mar 2025. This stayed constant from the previous number of 9.800 % for Feb 2025. Registered Unemployment Rate: East Germany: DL: Berlin Brandenburg data is updated monthly, averaging 13.800 % from Jan 1991 (Median) to Mar 2025, with 411 observations. The data reached an all-time high of 22.400 % in Feb 2005 and a record low of 7.600 % in Nov 2019. Registered Unemployment Rate: East Germany: DL: Berlin Brandenburg data remains active status in CEIC and is reported by Federal Employment Agency. The data is categorized under Global Database’s Germany – Table DE.G021: Registered Unemployment Rate.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Berlin: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 128(3.41%) households where the householder is under 25 years old, 971(25.83%) households with a householder aged between 25 and 44 years, 1,509(40.14%) households with a householder aged between 45 and 64 years, and 1,151(30.62%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Berlin, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Berlin median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Berlin. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Berlin population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 74.95% of the total residents in Berlin. Notably, the median household income for White households is $90,139. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $90,139.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Berlin.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Berlin median household income by race. You can refer the same here

Registered Unemployment Rate: East Germany: DL: Berlin data was reported at 11.600 % in Apr 2025. This stayed constant from the previous number of 11.600 % for Mar 2025. Registered Unemployment Rate: East Germany: DL: Berlin data is updated monthly, averaging 14.150 % from Jan 1991 (Median) to Apr 2025, with 412 observations. The data reached an all-time high of 22.300 % in Apr 2005 and a record low of 8.800 % in Nov 2019. Registered Unemployment Rate: East Germany: DL: Berlin data remains active status in CEIC and is reported by Federal Employment Agency. The data is categorized under Global Database’s Germany – Table DE.G021: Registered Unemployment Rate.