In 2023. Germany's city-state was home to roughly **** million people, up from around **** million the previous year. The population has grown significantly compared to the 1960s and 1970s.

About this dataset

Context

The dataset tabulates the New Berlin population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New Berlin across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of New Berlin was 40,260, a 0.10% decrease year-by-year from 2022. Previously, in 2022, New Berlin population was 40,302, a decline of 0.48% compared to a population of 40,498 in 2021. Over the last 20 plus years, between 2000 and 2023, population of New Berlin increased by 1,765. In this period, the peak population was 40,498 in the year 2021. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the New Berlin is shown in this column.
• Year on Year Change: This column displays the change in New Berlin population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 New Berlin Population by Year. You can refer the same here

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

Population data with a closer look at the gender distributions for the year 2020 in Berlin. These include population growth, life expectancy, marriages and birth rates.

In 2023, around **** percent of Berlin's population were foreigners. Figures increased annually during the specified timeline, though less noticeably during the COVID-19 pandemic in 2020 and 2021.

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.

About this dataset

Context

The dataset tabulates the Berlin population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Berlin across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Berlin was 5,259, a 3.04% increase year-by-year from 2021. Previously, in 2021, Berlin population was 5,104, an increase of 1.09% compared to a population of 5,049 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Berlin increased by 1,698. In this period, the peak population was 5,259 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Berlin is shown in this column.
• Year on Year Change: This column displays the change in Berlin population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Year. You can refer the same here

In 1800, the region of Germany was not a single, unified nation, but a collection of decentralized, independent states, bound together as part of the Holy Roman Empire. This empire was dissolved, however, in 1806, during the Revolutionary and Napoleonic eras in Europe, and the German Confederation was established in 1815. Napoleonic reforms led to the abolition of serfdom, extension of voting rights to property-owners, and an overall increase in living standards. The population grew throughout the remainder of the century, as improvements in sanitation and medicine (namely, mandatory vaccination policies) saw child mortality rates fall in later decades. As Germany industrialized and the economy grew, so too did the argument for nationhood; calls for pan-Germanism (the unification of all German-speaking lands) grew more popular among the lower classes in the mid-1800s, especially following the revolutions of 1948-49. In contrast, industrialization and poor harvests also saw high unemployment in rural regions, which led to waves of mass migration, particularly to the U.S.. In 1886, the Austro-Prussian War united northern Germany under a new Confederation, while the remaining German states (excluding Austria and Switzerland) joined following the Franco-Prussian War in 1871; this established the German Empire, under the Prussian leadership of Emperor Wilhelm I and Chancellor Otto von Bismarck. 1871 to 1945 - Unification to the Second World War The first decades of unification saw Germany rise to become one of Europe's strongest and most advanced nations, and challenge other world powers on an international scale, establishing colonies in Africa and the Pacific. These endeavors were cut short, however, when the Austro-Hungarian heir apparent was assassinated in Sarajevo; Germany promised a "blank check" of support for Austria's retaliation, who subsequently declared war on Serbia and set the First World War in motion. Viewed as the strongest of the Central Powers, Germany mobilized over 11 million men throughout the war, and its army fought in all theaters. As the war progressed, both the military and civilian populations grew increasingly weakened due to malnutrition, as Germany's resources became stretched. By the war's end in 1918, Germany suffered over 2 million civilian and military deaths due to conflict, and several hundred thousand more during the accompanying influenza pandemic. Mass displacement and the restructuring of Europe's borders through the Treaty of Versailles saw the population drop by several million more.

Reparations and economic mismanagement also financially crippled Germany and led to bitter indignation among many Germans in the interwar period; something that was exploited by Adolf Hitler on his rise to power. Reckless printing of money caused hyperinflation in 1923, when the currency became so worthless that basic items were priced at trillions of Marks; the introduction of the Rentenmark then stabilized the economy before the Great Depression of 1929 sent it back into dramatic decline. When Hitler became Chancellor of Germany in 1933, the Nazi government disregarded the Treaty of Versailles' restrictions and Germany rose once more to become an emerging superpower. Hitler's desire for territorial expansion into eastern Europe and the creation of an ethnically-homogenous German empire then led to the invasion of Poland in 1939, which is considered the beginning of the Second World War in Europe. Again, almost every aspect of German life contributed to the war effort, and more than 13 million men were mobilized. After six years of war, and over seven million German deaths, the Axis powers were defeated and Germany was divided into four zones administered by France, the Soviet Union, the UK, and the U.S.. Mass displacement, shifting borders, and the relocation of peoples based on ethnicity also greatly affected the population during this time. 1945 to 2020 - Partition and Reunification In the late 1940s, cold war tensions led to two distinct states emerging in Germany; the Soviet-controlled east became the communist German Democratic Republic (DDR), and the three western zones merged to form the democratic Federal Republic of Germany. Additionally, Berlin was split in a similar fashion, although its location deep inside DDR territory created series of problems and opportunities for the those on either side. Life quickly changed depending on which side of the border one lived. Within a decade, rapid economic recovery saw West Germany become western Europe's strongest economy and a key international player. In the east, living standards were much lower, although unemployment was almost non-existent; internationally, East Germany was the strongest economy in the Eastern Bloc (after the USSR), though it eventually fell behind the West by the 1970s. The restriction of movement between the two states also led to labor shortages in t...

Residents in Berlin in LOR planning areas by length of residence on December 31, 2020; Subdivision into 5 to 10 years of residence

The percentage changes in the population from 2013 to 2018 are displayed at the level of forecasting areas. The number of inhabitants in Berlin increased by 6.6 % from 2013 to 2018. Population growth of more than 5.5 % recorded 37 forecasting areas, including 7 forecasting areas with at least 10.5 % growth. The forecasting area Buch showed the strongest increase in population at 20.1 %. Only one district (Kreuzberg Ost) recorded a slight decline in population at -1.1 %. All other forecasting areas showed a positive population development.

Population density [inhabitants/ha] and change in population density [inhabitants/ha] from 2020 compared to 2019 at the level of the block and partial block areas of the map 1 : 5,000 (ISU5, spatial reference environmental atlas 2015).

Population by age group and nationality in the districts of Berlin on 31.12.2020

Im Jahr 2024 umfasste die Bevölkerung im Bundesland Berlin ungefähr 3,69 Millionen Einwohner. Siehe auch die Anzahl der Einwohner in den anderen deutschen Millionenstädten.

About this dataset

Context

The dataset tabulates the East Berlin population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of East Berlin across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of East Berlin was 1,567, a 0.71% increase year-by-year from 2022. Previously, in 2022, East Berlin population was 1,556, an increase of 0.32% compared to a population of 1,551 in 2021. Over the last 20 plus years, between 2000 and 2023, population of East Berlin increased by 202. In this period, the peak population was 1,567 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the East Berlin is shown in this column.
• Year on Year Change: This column displays the change in East Berlin population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 East Berlin Population by Year. You can refer the same here

Timeseries of structure and development of the former German Democratic Republic’s population.

The aim of this data-collection is to inform about the population’s structure and development in the former GDR, including East-Berlin, from 1946 to 1989.

Basis of the compilation is the published statistical population overview of the German Federal Statistical Office (Statistisches Bundesamt (hrsg.): Sonderreihe mit Beiträgen für das Gebiet der ehemaligen DDR. Heft 3: Bevölkerungsstatistische Übersichten 1946 bis 1989. Wiesbaden, 1993), completed by census data and scientific publications.

The survey contains details on population and populationstructure (population-size, -growth, density, agegroups, etc.), on natural population movement (birth, decease, marriages, divorces), on spatial population movement (internal migration, migration beyond the borders of the former GDR), and on households.

The datacompilation covers the following topics:

A) population B) natural population movement C) households D) migration

Topics:

Data-Tables in the download-system HISTAT (Thema: Bevölkerung)

A. Bevölkerungsstand:

A01 Bevölkerungsstand und Bevölkerungsentwicklung (1939-1989) A02 Bevölkerung nach Altersgruppen 1946-1989 A03 Männliche Bevölkerung nach Altersgruppen 1946-1989 A04 Weibliche Bevölkerung nach Altersgruppen 1946-1989 A05. Bevölkerungsgröße, Bevölkerungswachstum, Bevölkerungsdichte und Sexualproportion 1950- 1992 A06. Bevölkerung insgesamt, männlich und weiblich nach Ländern 1950-1998 A07. Fläche, Bevölkerung am Ort der Hauptwohnung und Bevölkerungsdichte für 1950, 1964, 1971, 1981 A08. Bevölkerung am Ort der Hauptwohnung nach Altersgruppen und Geschlecht 1950-1981 A09. Bevölkerung am Ort der Hauptwohnung nach Altersgruppen und Geschlecht 1950-1981 A10. Bevölkerung ab 18 Jahre am Ort der Hauptwohnung nach Familienstand und Geschlecht 1950-1981 A11. Fläche und Bevölkerung nach Bezirken 1950-1989 A12. Bevölkerung nach Altersgruppen und Geschlecht für die neuen Länder und Berlin Ost 1950-1990 A13 Bevölkerung nach Gemeindegrößenklassen (in 1000) 1950-1989

B. Natürliche Bevölkerungsbewegung

B01 Natürliche Bevölkerungsbewegung 1946-1995 B02a Eheschließungen, durschnittliches Heiratsalter, Ehescheidungen 1946-1989 B02b Eheschließungen nach Familienstand der Partner vor Eheschließung 1946-1989 B03 Eheschließende, Ersteheschließende und Wiederverheiratete (insgesamt) 1946-1989 B04 Eheschließende nach Ersteheschließenden und Wiederverheirateten (je 100 Eheschließende) 1946-1989 B05 Eheschließende nach Familienstand vor der Eheschließung (insgesamt) 1946-1989 B06 Eheschließende nach Familienstand vor der Eheschließung (je 100 Eheschließende) 1946-1989 B07 Zusammengefasste Geburtenziffer nach Altersgruppen 1952-1989 B08 Das Reproduktionsniveau der Bevölkerung 1946-1989 B09 Durchschnittliche Lebenserwartung Neugeborener in Jahren 1946-1989 B10a Geborene, Lebendgeborene und Totgeborene nach Legitimität 1952-1989 B10b Lebend- und Totgeborene nach Geschlecht 1950-1989 B11 Zusammengefaßte Geburtenziffer nach Gemeindegrößenklassen (1965-1989) B12 Altersgruppenspezifische Sterbeziffern nach Geschlecht ( standardisiert) 1964-1989 B13a Gestorbene insgesamt und gestorbene Säuglinge nach Geschlecht (1946-1989) B13b Gestorbene nach ausgewählten Todesursachen und nach Geschlecht 1947-1989 B13c Gestorbene nach ausgewählten Krankheiten als Todesursachen und nach Geschlecht 1947-1989 B14 Gestorbene infolge Suizid- DDR 1947-1989 B15 Gestorbene infolge Suizid- BRD B16 Gestorbene infolge Mord und Totschlag- DDR 1949-1989 B17 Gestorbene infolge Mord und Totschlag- BRD / Bundesrepublik Deutschland (1961-1989) B18 Die Entwicklung der Fruchtbarkeitsziffern in den beiden Teilen Deutschlands (1946/50-1995)

C. Haushalte

C01 Privathaushalte nach Haushaltsgröße 1950-1981 C02 Personen in Privathaushalten und Gemeinschaftseinrichtungen 1950-1981 C03 Mehrpersonenhaushalte nach im Haushalt lebenden Kindern unter 17 Jahren 1950-1981 C04 Privathaushalte nach Haushaltsgroesse und nach Altersgruppen des Haushaltsvorstandes 1950 bis 1981 C05 Privathaushalte nach Haushaltsgroesse und nach Altersgruppen des maennlichen Haushaltsvorstandes 1950 bis 1981

D. Wanderung

D01 Wanderung über die Grenzen der DDR 1951-1989 D02 Wanderung über die Grenzen der DDR nach Altersgruppen 1965-1989 D03 Binnenwanderungsgewinn bzw.- verlust (-) nach Gemeindegrößenklassen 1970-1989 D04 Saldo aus zu- und Fortzügen (-) über die Grenzen der ehemaligen DDR nach Gemeindegrößekl...

Sources: Official Statistics: Statistics of the German Empire = Statistik des Deutschen Reichs. Neue Folge. Band 44. Berlin, 1892.

The study’s subject: The data on natural population movement has been compiled on the basis of the German Empires official statistics, which published an overview on population development and it’s vital series: marriages, births, marital births, stillbirths, and deaths (Statistik des Dt. Reichs N.F. 44, 1892, pp. 2-48: Table I.A: General-Uebersicht über Stand und Bewegung der Bevölkerung des Deutschen Reichs).

The special feature of these data series is their beginning of the year 1841, i.e. 30 years before the founding of the German Empire. The period of the German Empire until 1819 was characterizes by fundamental demographic, economic and social changes that affected to a considerable extent, culture and politics. Especially the process of high industrialization played an important role. Thus the Empire transformed economically as well as social-structurally in the last decades of the 19th Century from an agrarian to an industrialized country. An indicator for the change was the enormous growth of the population. In 1871 the German Empire had 41 million inhabitants, in 1886 there were over 46 million and in 1910 it had almost 65 million inhabitants.

The German Empire included 25 states (Federal states) - including the three republican written Hanseatic cities of Hamburg, Bremen and Lübeck, and additional the kingdom land of Alsace-Lorraine.

For each of these German federal states, the average annual population and the vitality seriea are reproduced from the year 1841 until 1886 in its respective borders.

Data-tables in HISTAT (Topic: Population): Two data tables have been compiled for the German Reich and it’s states and country-parts: - Mean population and vital series (marriages, births, marital births, stillbirths, deaths) per year - Mean population and vital series (marriages, births, marital births, stillbirths, deaths), for the decades 1841-1850 / 1851-1860 / 1861-1870 / 1871-1880.

Publication: Kaiserliches Statistisches Amt (Hrsg.): Statistik des Deutschen Reichs. Neue Folge. Band 44. Berlin, 1892. (Royal Statistical Office (ed.): Statistics of the German Empire. New Edition. Issue 44. Berlin, 1892)

Territory under investigation: German Empire and it’s 25 states and country-parts in it’s respective borders since 1841. The single German states, provinces and principalities.

Sources: Official Statistics: Statistics of the German Empire = Statistik des Deutschen Reichs. Neue Folge. Band 44. Berlin, 1892.

Snapshot img

Germany Construction Market Size 2025-2029

The Germany construction market size is forecast to increase by USD 66.9 billion at a CAGR of 5% between 2024 and 2029.

The construction market is experiencing significant growth due to several key factors. The increasing demand for housing units, driven by population growth and urbanization, is a major trend In the industry. Another trend is the rising popularity of modular houses, which offer cost savings and faster construction times. In addition, industrialization and digitization have led to innovative technologies, such as drones for mapping and surveying, 3D printing, smart infrastructure, and performance optimization, which help improve construction techniques and sustainability measures. However, the market is also facing challenges, including the increasing cost of construction materials and labor. These factors are putting pressure on construction companies to find innovative solutions to reduce costs and improve efficiency. The market analysis report provides a comprehensive examination of these trends and challenges, offering insights into the future growth prospects of the construction industry.

What will be the Size of the market During the Forecast Period?

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The construction market encompasses a diverse range of sectors, including commercial and residential building activities. Key sectors include hotels, office buildings, outdoor leisure facilities, retail buildings, other commercial construction, and industrial projects such as warehouses, data centers, and industrial parks. Tourism and travel business activities are significant growth drivers, leading to the development of major hotel and infrastructure projects.
Moreover, Green energy initiatives are also fueling construction activities, particularly In the industrialization sector. Participants In the construction market include contractors, suppliers, architects, engineers, and government agencies. Major projects span various development stages, from planning and design to execution and completion. Rapid urbanization, automation, and government investments in infrastructure projects further contribute to the market's growth. Population growth in developing regions is another key factor driving demand for construction services.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Buildings construction
  Heavy and civil engineering construction
  Land planning and development
  Specialty trade contractors


End-user

  Residential
  Commercial
  Public


Sector

  Private sector
  Public sector


Geography

  Germany

By Type Insights

The buildings construction segment is estimated to witness significant growth during the forecast period.

The German construction market experiences ongoing growth in building construction activities, driven by the expanding housing and infrastructure sectors. In 2024, Berlin approved over 5,100 subsidized housing units, marking a substantial increase from previous years. This increase in housing development stimulates the industry, motivating developers to undertake more projects and address housing shortages. Key sectors within building construction include commercial construction, such as office buildings, outdoor leisure facilities, retail buildings, and other commercial structures. Additionally, infrastructure projects, like transportation systems, energy grids, and communication networks, contribute significantly to the market's revenue possibilities. Industrial construction, including manufacturing plants, metal and material processing facilities, and waste processing plants, are also essential components.

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Market Dynamics

Our Germany Construction Market researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in adoption of Germany Construction Market?

Growing demand for housing units is the key driver of the market.

The construction market in Europe, specifically in Germany, is experiencing significant growth due to several key factors. Population expansion, driven by both natural increase and immigration, is a primary driver of this trend. Germany's appeal as a destination for immigrants has resulted in a growing population, leading to increased demand for housing. Additionally, urbanization is contributing to the increase in demand for housing, as more individuals move to cities in pursuit of emp

About this dataset

Context

The dataset tabulates the Berlin town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Berlin town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Berlin town was 3,425, a 1.63% increase year-by-year from 2022. Previously, in 2022, Berlin town population was 3,370, an increase of 2.37% compared to a population of 3,292 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Berlin town increased by 1,041. In this period, the peak population was 3,425 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Berlin town is shown in this column.
• Year on Year Change: This column displays the change in Berlin town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 town Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Berlin population by year. The dataset can be utilized to understand the population trend of Berlin.

Content

The dataset constitues the following datasets

• Berlin, MD Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.