Between 1820 and 1957, more than six million people emigrated from Germany to the United States. The period with the highest levels of migration came during the 1850s and the 1880s, and over 250 thousand documented migrants came to the US from Germany in 1882 alone. The reasons for these mass migrations were not linked to individual events, but were because of the improved access to trans-Atlantic travel, poor economic opportunities at home (particularly for farmers, who struggled with the rapid industrialization of Germany), and to escape religious persecution in Europe. The periods with the lowest levels of migration from Germany were between 1915 and 1945, and were likely caused by the First and Second World Wars, and also the Great Depression.

About this dataset

Context

The dataset tabulates the North Germany township 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 North Germany township 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 North Germany township was 297, a 0.34% increase year-by-year from 2022. Previously, in 2022, North Germany township population was 296, an increase of 1.37% compared to a population of 292 in 2021. Over the last 20 plus years, between 2000 and 2023, population of North Germany township decreased by 31. In this period, the peak population was 338 in the year 2007. 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 North Germany township is shown in this column.
• Year on Year Change: This column displays the change in North Germany township 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 North Germany township Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the German town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for German town. The dataset can be utilized to understand the population distribution of German town by age. For example, using this dataset, we can identify the largest age group in German town.

Key observations

The largest age group in German, New York was for the group of age 50 to 54 years years with a population of 32 (13.17%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in German, New York was the 85 years and over years with a population of 1 (0.41%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the German town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of German town total population. 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 German town Population by Age. 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...

Extent to which informed and ideas about the USA. Contacts with Americans and trips to the United States. Topics: Knowledge of English; knowledge and reading American newspapers, books and films; concepts of respondent about the American school system, family life, way of life, press, radio and television, agriculture, the political, cultural, religious life, the social problems, social services, the relationship employer-employee, the economy, industry and technology; judgement on Americans and reasons for a possible change in attitude to Americans; position on the international policy of the USA; trips of respondent to the USA; evaluation of the influence of a trip to the USA on one´s own attitude to the USA; personal contacts with travelers to America; contacts with Americans since the end of the war; knowledge of experiences with the German-American exchange program; adjustment of prejudices through contact with an ´Exchangee´; evaluation of employment with American employers; personal difficulties of respondent; listening to the broadcast ´Voice of America´; trips to the America House. Demography: age (classified); sex; marital status; religious denomination; school education; occupation; employment; household income; party preference; party membership; state; refugee status; present and past offices held. Interviewer rating: social class and willingness of respondent to cooperate; number of contact attempts; city size. Informiertheit und Vorstellungen über die USA. Kontakte zu Amerikanern und Reisen in die Vereinigten Staaten. Themen: Englischkenntnisse; Kenntnis und Lektüre amerikanischer Zeitungen, Bücher und Filme; Vorstellungen des Befragten über das amerikanische Schulwesen, das Familienleben, die Lebensweise, das Presse-, Rundfunk- und Fernsehwesen, die Landwirtschaft, das politische, kulturelle, religiöse Leben, die sozialen Probleme, die Sozialleistungen, das Verhältnis Arbeitgeber - Arbeitnehmer, die Wirtschaft, Industrie und Technik; Beurteilung der Amerikaner und Gründe für eine evtl. Veränderung in der Einstellung zu Amerikanern; Stellungnahme zur internationalen Politik der USA; USA-Besuche des Befragten; Bewertung des Einflusses eines USA-Besuches auf die eigene Einstellung zu den USA; eigene Kontakte zu Amerikabesuchern; Kontakte zu Amerikanern seit Kriegsende; Kenntnis von Erfahrungen mit dem deutsch-amerikanischen Austauschprogramm; Korrektur von Vorurteilen durch den Kontakt mit einem "Exchangee"; Bewertung der Beschäftigung bei amerikanischen Dienststellen; persönliche Schwierigkeiten des Befragten; Hören der Sendung "Stimme Amerikas"; Besuche im Amerika-Haus. Demographie: Alter (klassiert); Geschlecht; Familienstand; Konfession; Schulbildung; Beruf; Berufstätigkeit; Haushaltseinkommen; Parteipräferenz; Parteimitgliedschaft; Bundesland; Flüchtlingsstatus; innegehabte und innehabende Ämter. Interviewerrating: Schichtzugehörigkeit und Kooperationsbereitschaft des Befragten; Anzahl der Kontaktversuche; Ortsgröße. Three different universes were defined and 3 different samples drawn: The first universe (representative survey of the population) is described by age and research area (multi-stage random sample, 1582 cases); the second through occupation: specifically employees of civilian and military American government offices (365 cases). There is no more detailed information on the sample of the third survey group, a survey of persons who could provide impressions and experiences of travelers to America but had not themselves been in the USA (311 cases).

Extent to which informed and ideas about the USA. Contacts with Americans and trips to the United States.

Topics: Knowledge of English; knowledge and reading American newspapers, books and films; concepts of respondent about the American school sys

Comprehensive demographic dataset for German, NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Distribution of demographics in the US (n = 476) and German (n = 491) online sample compared to census data from both countries.

At the end of the Revolutionary Period in United States history, the majority of white settlers in the United States of America had English heritage. The Thirteen Colonies, which claimed independence in 1776, was part of the British Empire until this point - English settlers and their descendants made up over 60 percent of the population by 1790. The English were the ethnic majority (among whites) in all states except Pennsylvania, which had a similarly-sized German population, while New York had a sizeable Dutch population as it was a former Dutch colony. The second-largest group was the Irish, where those from both the island's north and south made up a combined 10 percent of the population, followed by the Scottish and Germans at over eight percent each. Outside of the United States, the French and Spanish territories that would later be incorporated into the Union were majority French and Spanish - despite their large size they were relatively sparsely populated. The composition of the U.S. population would change drastically throughout the 19th century due largely to waves of migration from Europe.

About this dataset

Context

The dataset tabulates the data for the German, New York population pyramid, which represents the German town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for German, New York, is 11.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for German, New York, is 40.0.
• Total dependency ratio for German, New York is 51.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for German, New York is 2.5.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the German town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the German town for the selected age group is shown in the following column.
• Population (Female): The female population in the German town for the selected age group is shown in the following column.
• Total Population: The total population of the German town for the selected age group is shown in the following column.

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 German town Population by Age. You can refer the same here

germany - Population for Germany was 577.00000 Mil. of Persons in April of 2025, according to the United States Federal Reserve. Historically, germany - Population for Germany reached a record high of 1402.00000 in February of 2021 and a record low of -235.00000 in May of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for germany - Population for Germany - last updated from the United States Federal Reserve on September of 2025.

Population: Mid Year: Projection data was reported at 72,589,745.000 Person in 2100. This records a decrease from the previous number of 72,646,641.000 Person for 2099. Population: Mid Year: Projection data is updated yearly, averaging 78,298,957.000 Person from Jun 1950 (Median) to 2100, with 151 observations. The data reached an all-time high of 84,498,245.000 Person in 2020 and a record low of 68,374,572.000 Person in 1950. Population: Mid Year: Projection data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s Germany – Table DE.US Census Bureau: Demographic Projection.

germany - Population Growth for Germany was -0.62005 % Chg. at Annual Rate in January of 2023, according to the United States Federal Reserve. Historically, germany - Population Growth for Germany reached a record high of 0.72088 in January of 2022 and a record low of -0.62005 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for germany - Population Growth for Germany - last updated from the United States Federal Reserve on September of 2025.

In 2023, around 1.93 million people immigrated to Germany. Numbers fluctuated during the time period covered in the graph at hand, peaking in 2015 during the high point of Europe’s refugee crisis. Significantly lower figures in 2020 may be attributed to the first year of the coronavirus (COVID-19) pandemic, and subsequent restrictions implemented by the German government on entering the country, in order to control the spread of the disease. Immigration to Germany “Immigrant” is a term used from the point of view of the receiving country, or the country being migrated to by a person. While reasons for and circumstances leading to an immigrant entering a foreign country may vary, they often include love, include seeking residence, employment, family reunions, or applying for asylum. Various countries are represented among foreigners living in Germany, though currently the leading three by numbers are Turkey, Ukraine, and Syria. Around 5.2 million immigrants living in Germany do not need a residence permit due to having EU citizenship, and therefore being allowed freedom of movement based on EU law. Another 2.64 million immigrants were granted an unlimited permit to stay in Germany. The near future Germany remains a popular choice for immigrants, even in currently challenging economic and political times. Welfare benefits, healthcare, and various support initiatives for those moving to or arriving in the country are on the list of selling points, though in practice, difficulties may be encountered depending on individual situations and laws in different German federal states. While the unemployment rate among foreigners living in Germany had gone up in 2020, it dropped again in the following years, but increased once more in 2023 and 2024 to over 16 percent. The country is Europe’s largest economy, housing many global players in various industries, which continues to attract jobseekers, despite these very industries facing struggles of their own brought on both by the ongoing coronavirus pandemic and geopolitical events in Europe.

Since 1972, Germany's population has experienced more deaths than births in each year; therefore, Germany's population has been in a natural decline for over five decades. 2022 also marked a new milestone, as Germany's natural population saw a reduction of more than 300,000 people, and this has been the case in every subsequent year. Despite Germany's natural population falling every year for over 50 years, its population has remained high and even grown in many of these years due to a high net migration rate.

This graph shows the distribution of nationalities among documented immigrants who arrived in the United States between 1820 and 1870. As we can see, over seven million people arrived in the US in this 50 year period, with the majority coming from Ireland, Germany and Britain. The largest groups, by far, were Irish and German, who together made up roughly two thirds of all immigrants to the US during this time. The reasons for this were because of the Irish Potato famine from 1845 to 1849, which resulted in the death or emigration of twenty to twenty five percent of the total Irish population, and a number of internal factors in Germany such as economic migration for farmers affected by industrialization, political/religious asylum, and in order to avoid conscription. One noteworthy exclusion from the information is of those transported to US as slaves, whose information was not recorded in this statistic (although the slave trade was abolished in 1808, the practice continued in the decades that followed).

The total wealth of the adult population in Germany saw an overall upward trend during the period from 2010 to 2020. 2020 saw the highest total wealth per adult during the years included at a value of almost **** trillion U.S. dollars.

Objective: To assess the extent of early mortality and its temporal course after prostatectomy and radiotherapy in the general population.Methods: Data from the Surveillance, Epidemiology, and End Results (SEER) database and East German epidemiologic cancer registries were used for the years 2005–2013. Metastasized cases were excluded. Analyzing overall mortality, year-specific Cox regression models were used after adjusting for age (including age squared), risk stage, and grading. To estimate temporal hazards, we computed year-specific conditional hazards for surgery and radiotherapy after propensity-score matching and applied piecewise proportional hazard models.Results: In German and US populations, we observed higher initial 3-month mortality odds for prostatectomy (USA: 9.4, 95% CI: 7.8–11.2; Germany: 9.1, 95% CI: 5.1–16.2) approaching the null effect value not before 24-months (estimated annual mean 36-months in US data) after diagnosis. During the observational period, we observed a constant hazard ratio for the 24-month mortality in the US population (2005: 1.7, 95% CI: 1.5–1.9; 2013: 1.9, 95% CI: 1.6–2.2) comparing surgery and radiotherapy. The same was true in the German cohort (2005: 1.4, 95% CI: 0.9–2.1; 2013: 3.3, 95% CI: 2.2–5.1). Considering low-risk cases, the adverse surgery effect appeared stronger.Conclusion: There is strong evidence from two independent populations of a considerably higher early to midterm mortality after prostatectomy compared to radiotherapy extending the time of early mortality considered by previous studies up to 36-months.

About this dataset

Context

The dataset tabulates the German Flatts town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for German Flatts town. The dataset can be utilized to understand the population distribution of German Flatts town by age. For example, using this dataset, we can identify the largest age group in German Flatts town.

Key observations

The largest age group in German Flatts, New York was for the group of age 60 to 64 years years with a population of 1,003 (8.23%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in German Flatts, New York was the 85 years and over years with a population of 273 (2.24%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the German Flatts town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of German Flatts town total population. 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 German Flatts town Population by Age. You can refer the same here

It is estimated that the Second World War was responsible for the deaths of approximately 3.76 percent of the world's population between 1939 and 1945. In 2022, where the world's population reached eight billion, this would be equal to the death of around 300 million people.

The region that experienced the largest loss of life relative to its population was the South Seas Mandate - these were former-German territories given to the Empire of Japan through the Treaty of Versailles following WWI, and they make up much of the present-day countries of the Marshall Islands, Micronesia, the Northern Mariana Islands (U.S. territory), and Palau. Due to the location and strategic importance of these islands, they were used by the Japanese as launching pads for their attacks on Pearl Harbor and in the South Pacific, while they were also taken as part of the Allies' island-hopping strategy in their counteroffensive against Japan. This came at a heavy cost for the local populations, a large share of whom were Japanese settlers who had moved there in the 1920s and 1930s. Exact figures for both pre-war populations and wartime losses fluctuate by source, however civilian losses in these islands were extremely high as the Japanese defenses resorted to more extreme measures in the war's final phase.