About this dataset

Context

The dataset tabulates the population of New Germany by race. It includes the population of New Germany across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of New Germany across relevant racial categories.

Key observations

The percent distribution of New Germany population by race (across all racial categories recognized by the U.S. Census Bureau): 96.39% are white, 0.34% are Black or African American, 0.52% are Asian, 1.03% are some other race and 1.72% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the New Germany
• Population: The population of the racial category (excluding ethnicity) in the New Germany is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New Germany 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 New Germany Population by Race & Ethnicity. 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...

In 2023, the population share with a migrant background in the wider sense was almost 30 percent. According to the source, a person is considered to have a migrant background when they or at least one parent do not have German citizenship by law. This definition includes the following:1. Immigrated and non-immigrated foreigners.2. Immigrated and non-immigrated naturalized citizens.3. Late emigrants.4. Descendants born with German citizenship within the three groups named above.

As of 2024, around **** million people from Turkey were living in Germany. Foreign nationals are those who are not German based on Article 116 Paragraph 1 of the German constitution. These include stateless persons and those with unclear citizenship as well as the population group with a migration background. Individuals with a migration background can either have immigrated into Germany or been born in the country to at least one parent who was born a foreigner.

1941 marked an escalation of the Second World War in Europe. By the middle of the year, Germany and its European allies had already consolidated power across most of the continent, with only the United Kingdom and Soviet Union not under Axis control or on neutral terms with Germany. As population sizes were fundamental to the war effort, both in terms of military manpower and the workforce of the home front, the annexation of other countries proved vital in supplying new volunteers, conscripts, and forced laborers for the Axis war effort. Together, Germany and Austria had a similar population to the rest of Europe's Axis powers combined, with all giving a total population of 154 million. However, the total population of the Axis-occupied territories in Europe was comparable to the Axis home fronts themselves, at almost 130 million people

Germans in the East Eastern Europe had a sizeable population of ethnic Germans who often worked with the Axis powers, and the German Army recruited upwards of a million volunteers from occupied countries. The Soviet Union in particular had a number of Russia German enclaves across the region, that reached as far as the Volga river and Kazakhstan and numbered at several million people. In Russia, these communities had existed for centuries, but they were ostracized or mistrusted by Soviet leadership and the deaths of these communities under Stalin's regime is often considered genocide. In addition to ethnic Germans, collaborators also included large numbers of Eastern Europeans who sympathized with Nazi ideology, or were hostile to Soviet or communist expansion; this also included ethnic minorities, such as Muslims from the Balkans or USSR.

Collaborators in the West The perceived threat of communism in the west saw men volunteer from countries such as France, the Netherlands, or Norway, to fight in the Axis armies. The fluctuating borders of the interwar period also meant that there were many German communities across the borders of neighboring countries, whose men also enlisted in the Wehrmacht. Within these occupied countries, conspirators with local knowledge were used to track down Jews and political adversaries, and many collaborated in order to elevate their positions in the government or enterprises. Apart from Austria, however, the majority of the public in annexed territories were unsupportive or hostile to their occupiers, and after the war, many of the surviving collaborators were tried (and often executed) for their actions.

In 2023, around 20 percent of the population with a migrant background had a secondary or elementary school education. 38.5 percent had some type of university degree.

About this dataset

Context

The dataset tabulates the Germany township population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Germany township.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Germany Township, Pennsylvania Population Breakdown by Race
• Germany Township, Pennsylvania Non-Hispanic Population Breakdown by Race
• Germany Township, Pennsylvania Hispanic or Latino Population Distribution by Their Ancestries

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/.

The largest number of immigrants in Germany were from Ukraine, as of 2023. The top three origin countries were rounded up by Romania and Turkey. Immigrants are defined as having left a country, which may be their home country, to permanently reside in another. Upon arriving, immigrants do not hold the citizenship of the country they move to. Immigration in the EU All three aforementioned countries are members of the European Union, which means their citizens have freedom of movement between EU member states. In practice, this means that citizens of any EU member country may relocate between them to live and work there. Unrestricted by visas or residence permits, the search for university courses, jobs, retirement options, and places to live seems to be defined by an enormous amount of choice. However, even in this freedom of movement scheme, immigration may be hampered by bureaucratic hurdles or financial challenges. Prosperity with a question mark While Germany continues to be an attractive destination for foreigners both in and outside the European Union, as well as asylum applicants, it remains to be seen how current events might influence these patterns, whether the number of immigrants arriving from certain countries will shift. Europe’s largest economy is suffering. Climbing inflation levels in the last few months, as well as remaining difficulties from the ongoing coronavirus (COVID-19) pandemic are affecting global economic development. Ultimately, future immigrants may face the fact of moving from one struggling economy to another.

Average population: Germany, Years, Nationality, Gender

In 2023, approximately 13.9 million foreigners lived in Germany. According to the source, foreigners are those who are not German based on Article 116, Paragraph 1 of the German constitution. These include stateless persons and those with unclear citizenship as well as the population group with a migration background. Individuals with a migration background can either have immigrated into Germany or been born in the country to at least one parent who was born a foreigner.

Population: Germany, Date, Age, Nationality, Gender/Family Status

About this dataset

Context

The dataset tabulates the population of North Germany township by race. It includes the population of North Germany township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of North Germany township across relevant racial categories.

Key observations

The percent distribution of North Germany township population by race (across all racial categories recognized by the U.S. Census Bureau): 94.16% are white, 1.72% are American Indian and Alaska Native and 4.12% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the North Germany township
• Population: The population of the racial category (excluding ethnicity) in the North Germany township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of North Germany township 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 North Germany township Population by Race & Ethnicity. You can refer the same here

In 2023, there were around 12 million employed people with a migration background living in Germany. According to the source, a person is considered as having a migration background when they or at least one parent do not have German citizenship by law. This definition includes the following:1. Immigrated and non-immigrated foreigners.2. Immigrated and non-immigrated naturalized citizens.3. Late emigrants.4. Descendants born with German citizenship within the three groups named above.

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.

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About this dataset

Context

The dataset tabulates the population of Germany township by race. It includes the population of Germany township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Germany township across relevant racial categories.

Key observations

The percent distribution of Germany township population by race (across all racial categories recognized by the U.S. Census Bureau): 93.77% are white, 0.07% are American Indian and Alaska Native, 0.17% are Asian, 3.46% are some other race and 2.52% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Germany township
• Population: The population of the racial category (excluding ethnicity) in the Germany township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Germany township 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 Germany township Population by Race & Ethnicity. You can refer the same here

Population (Zensus): Germany, Date, Nationality, Gender

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.

About this dataset

Context

The dataset presents the median household income across different racial categories in New Germany. 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 New Germany population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 96.39% of the total residents in New Germany. Notably, the median household income for White households is $88,750. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $88,750.

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 New Germany.
• 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 New Germany median household income by race. You can refer the same here

The project “Immigrants’ Children in the German and Israeli Educational Systems” studies children and adolescents with and without migration background in the educational systems of Germany and Israel. It focuses on studying recent immigrant groups stemming from the Former Soviet Union (FSU) – Jewish and Ethnic German immigrants – in comparison to “older” immigrant groups – persons with Turkish migration background in Germany and Mizrahi in Israel – and the respective reference population (Germans without any migration background in Germany and Ashkenazim in Israel). In this longitudinal study, immigrants’ decision patterns at several educational transitions in their educational careers are examined and these patterns are compared to those of the native population. There is a focus on various resources (economic, social and cultural) that a successful educational career requires as well as on intergenerational transmission of resources from parents to children. Das Projekt "Kinder und Jugendliche mit Migrationshintergrund im deutschen und israelischen Bildungssystem" untersucht Kinder und Jugendliche mit und ohne Migrationshintergrund in den Bildungssystemen Deutschlands und Israels. Im Mittelpunkt steht die Untersuchung von „neueren“ Zuwanderergruppen aus der ehemaligen Sowjetunion - jüdische und ethnisch deutsche Zuwanderer - im Vergleich zu „älteren“ Zuwanderergruppen - Personen mit türkischem Migrationshintergrund in Deutschland und Mizrahi in Israel - und der jeweiligen Referenzbevölkerung (Deutsche ohne Migrationshintergrund in Deutschland und Aschkenasim in Israel). In der vorliegenden Längsschnittuntersuchung werden die Entscheidungsmuster von Zuwanderern an mehreren Bildungsübergängen in ihrer Bildungslaufbahn untersucht und mit denen der einheimischen Bevölkerung verglichen. Der Schwerpunkt liegt dabei auf verschiedenen Ressourcen (wirtschaftlichen, sozialen und kulturellen), die für eine erfolgreiche Bildungslaufbahn erforderlich sind, sowie auf der intergenerationellen Übertragung von Ressourcen von den Eltern auf die Kinder. Mixed probability and non-probabilityMixedProbabilityNonprobability Kombination aus Zufallsstichprobe und Nicht-ZufallsstichprobeMixedProbabilityNonprobability Face-to-face interview: Paper-and-pencil (PAPI)Interview.FaceToFace.PAPI Persönliches Interview : Papier-und-Bleistift (PAPI)Interview.FaceToFace.PAPI Telephone interview: Computer-assisted (CATI)Interview.Telephone.CATI Telefonisches Interview: Computerunterstützte Befragung (CATI)Interview.Telephone.CATI