In 1938, the year before the outbreak of the Second world War, the countries with the largest populations were China, the Soviet Union, and the United States, although the United Kingdom had the largest overall population when it's colonies, dominions, and metropole are combined. Alongside France, these were the five Allied "Great Powers" that emerged victorious from the Second World War. The Axis Powers in the war were led by Germany and Japan in their respective theaters, and their smaller populations were decisive factors in their defeat. Manpower as a resource In the context of the Second World War, a country or territory's population played a vital role in its ability to wage war on such a large scale. Not only were armies able to call upon their people to fight in the war and replenish their forces, but war economies were also dependent on their workforce being able to meet the agricultural, manufacturing, and logistical demands of the war. For the Axis powers, invasions and the annexation of territories were often motivated by the fact that it granted access to valuable resources that would further their own war effort - millions of people living in occupied territories were then forced to gather these resources, or forcibly transported to work in manufacturing in other Axis territories. Similarly, colonial powers were able to use resources taken from their territories to supply their armies, however this often had devastating consequences for the regions from which food was redirected, contributing to numerous food shortages and famines across Africa, Asia, and Europe. Men from annexed or colonized territories were also used in the armies of the war's Great Powers, and in the Axis armies especially. This meant that soldiers often fought alongside their former-enemies. Aftermath The Second World War was the costliest in human history, resulting in the deaths of between 70 and 85 million people. Due to the turmoil and destruction of the war, accurate records for death tolls generally do not exist, therefore pre-war populations (in combination with other statistics), are used to estimate death tolls. The Soviet Union is believed to have lost the largest amount of people during the war, suffering approximately 24 million fatalities by 1945, followed by China at around 20 million people. The Soviet death toll is equal to approximately 14 percent of its pre-war population - the countries with the highest relative death tolls in the war are found in Eastern Europe, due to the intensity of the conflict and the systematic genocide committed in the region during the war.

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.

In Soviet Russia (RSFSR) in 1939 and 1959, ethnic Russians made up the largest share of the total population, with a share of approximately 83 percent. Tatars were the second largest ethnic group, followed by Ukrainians. Russians were consistently the largest ethnic group in the Soviet Union as a whole, with an overall share of 53 percent in 1979.

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 the West, and an influx of migrants from...

About this dataset

Context

The dataset tabulates the Becket 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 Becket 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 Becket town was 1,921, a 0.57% decrease year-by-year from 2022. Previously, in 2022, Becket town population was 1,932, a decline of 0.36% compared to a population of 1,939 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Becket town increased by 180. In this period, the peak population was 1,939 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 Becket town is shown in this column.
• Year on Year Change: This column displays the change in Becket 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 Becket town Population by Year. You can refer the same here

PERIOD: 1920-1939. NOTE: (As of October 1st but as of September 1st in 1923)The population estimates were obtained as follows: (1) For 1921 to 1923, the population estimate is the sum of county- and city-level population estimates obtained by multiplying the de facto population in the Population Census conducted on October 1, 1920, with the average annual population growth rate by gender from 1908 to 1918. (2) For 1924, the difference between the population of Japan overall calculated using the population growth rate by sex in each city and summing up the results and the population overall calculated using the population growth rate by sex for Japan overall was proportionally subtracted from the population of each prefecture; moreover, the population decrease due to the Great Kanto Earthquake on September 1, 1923 was also taken into account. (3) For Taisho 1926 to 1929, the de facto population in the 1920 and 1925 Population Censuses is used to obtain the annual average geometric growth rate of Japan's population overall, which is then used to estimate the population. (4) For 1931 to 1934, the same procedure is employed using the de facto population in the 1920 and 1930 Population Censuses. (5) From 1926 onward, the population estimates are obtained by adding the increase in the difference between births and deaths up to each estimation year in the 1935 Population Census using the results of the Vital Statistics survey. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet].

Chart and table of Germany population from 1950 to 2025. United Nations projections are also included through the year 2100.

In 2015 London's population surpassed its previous peak of 8.6 million people. This dataset contains an excel workbook showing borough population estimates and projections for the period 1939 - 2039 and a brief summary of population change in the capital.

About this dataset

Context

The dataset tabulates the Montgomery 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 Montgomery town. The dataset can be utilized to understand the population distribution of Montgomery town by age. For example, using this dataset, we can identify the largest age group in Montgomery town.

Key observations

The largest age group in Montgomery Town, New York was for the group of age 55 to 59 years years with a population of 1,939 (8.35%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Montgomery Town, New York was the 85 years and over years with a population of 423 (1.82%). 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 Montgomery town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Montgomery 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 Montgomery town Population by Age. You can refer the same here

Between 1944–1950, almost eight million expellees arrived in West Germany. We introduce a rich county-level database on the expellees’ socio-economic situation in post-war Germany. The database contains regionally disaggregated information on the number, origin, age, gender, religious denomination and labour force status of expellees. It also records corresponding information on the West German population as a whole, on the pre-war economic and religious structure of host and origin regions, and on war destructions in West Germany. The main data sources are the West German censuses of 1939, 1946, 1950 and 1961. Altogether, the database consists of 18 data tables (in xsls format). We have digitized the data as printed in the statistical sources, adding only an English translation of the table head (along with the original table head in German). Each data table has two tabs: The first tab (named “source”) lists the reference(s) of the printed source, the second (“data”) contains the actual data. Please consult the readme file for an overview of each data table’s content and the paper for additional information.

About this dataset

Context

The dataset tabulates the Friendship 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 Friendship 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 2022, the population of Friendship town was 1,929, a 0.05% decrease year-by-year from 2021. Previously, in 2021, Friendship town population was 1,930, a decline of 0.46% compared to a population of 1,939 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Friendship town increased by 10. In this period, the peak population was 2,004 in the year 2010. 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 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 Friendship town is shown in this column.
• Year on Year Change: This column displays the change in Friendship 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 Friendship town Population by Year. You can refer the same here

PERIOD: Oct. 1, 1939. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet].

About this dataset

Context

The dataset tabulates the Grove Hill 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 Grove Hill 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 Grove Hill was 1,761, a 1.23% decrease year-by-year from 2021. Previously, in 2021, Grove Hill population was 1,783, a decline of 1.49% compared to a population of 1,810 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Grove Hill increased by 228. In this period, the peak population was 1,939 in the year 2010. 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 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 Grove Hill is shown in this column.
• Year on Year Change: This column displays the change in Grove Hill 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 Grove Hill Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Xenia 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 Xenia. The dataset can be utilized to understand the population distribution of Xenia by age. For example, using this dataset, we can identify the largest age group in Xenia.

Key observations

The largest age group in Xenia, OH was for the group of age 25-29 years with a population of 1,939 (7.63%), according to the 2021 American Community Survey. At the same time, the smallest age group in Xenia, OH was the 85+ years with a population of 460 (1.81%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Xenia is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Xenia 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 Xenia Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of St. Paris by race. It includes the distribution of the Non-Hispanic population of St. Paris across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of St. Paris across relevant racial categories.

Key observations

Of the Non-Hispanic population in St. Paris, the largest racial group is White alone with a population of 1,939 (98.88% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/st-paris-oh-population-by-race-and-ethnicity.jpeg" alt="St. Paris Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 (for Non-Hispanic) for the St. Paris
• Population: The population of the racial category (for Non-Hispanic) in the St. Paris is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of St. Paris total Non-Hispanic 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 St. Paris Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Burns Flat 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 Burns Flat 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 Burns Flat was 1,907, a 1.65% decrease year-by-year from 2021. Previously, in 2021, Burns Flat population was 1,939, a decline of 0.41% compared to a population of 1,947 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Burns Flat increased by 130. In this period, the peak population was 2,071 in the year 2013. 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 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 Burns Flat is shown in this column.
• Year on Year Change: This column displays the change in Burns Flat 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 Burns Flat Population by Year. You can refer the same here

This dataset contains data on number of natural increase of population in Latvia in 1919-1939. Dataset "Natural Increase of Population (N) in Latvia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".

The Second World War did not only cause many deaths but also leaded to broad changes in the population and settlement structure. This data compilation shows selected consequences of population movements in the context of the displacement of persons on the population structure in the Federal Republic of Germany and partly also in the German Democratic Republic. Under the command of the first federal minister for matters concerning displaced persons Hans Lukaschek the term ‘displaced persons’ was defined nationwide in the federal expellee law (find the legislative text attached).
The data compilation is passed on data published by the Federal Statistical Office and on data from selected scientific publications. The study in hand is subdivided in section A which is based on publications from the Federal Statistical Office and section B which is based on different individual scientific publications.

Subsection A1 contains selected data from censuses and extrapolations from censuses from sources of the Federal Statistical Office. Subsection A2 contains selected data from the micro census from sources of the Federal Statistical Office. Subsection B1 contains selected data from a publication by Heinz Günter Steinberg. Subsection B2 contains selected data from a publication by Gerhard Reichling. Subsection B2 contains selected data from a publication by Friedrich Edding and Eugen Lemberg.

Data tables in HISTAT:

A: Federal Statistical Office A1: Results and extrapolations from the censuses
A1.01 Resident population and displaced persons in 1000 by federal states, end-of-year values (1945-1966) A1.02 Displaced persons in 1000 by federal states, half-year values (1946-1956) A1.03 Influx of displaced persons by sex and federal state (1952-1960) A1.04a Displaced persons altogether in the federal territory by age in 1000 (1950-1953) A1.04b Male displaced persons in the federal territory by age in 1000 (1950-1953) A1.04c Female displaced persons in the federal territory by age in 1000 (1950-1953) A1.05 Displaced persons in the federal territory by age groups in 1000 (1950-1966) A1.06 Resettlement of displaced persons (1949-1962) A1.07 Marriages of displaced persons and the rest of the population in the FRG (1950-1960) A1.08 Marriages of displaced persons and the rest of the population in the FRG in absolute numbers in the different federal states (1950-1960)

A2: Results from the micro census A2.01 Displaced persons among the resident population by sex and federal state in 1000 (1958-1973) A2.02a Displaced persons among the resident population by sex and age group in the FRG in 1000 (1958-1973) A2.02b Displaced persons among the resident population by sex and age group in Schleswig-Holstein in 1000 (1958-1973) A2.02c Displaced persons among the resident population by sex and age group in Hamburg in 1000 (1958-1973) A2.02d Displaced persons among the resident population by sex and age group in Niedersachsen in 1000 (1958-1973) A2.02e Displaced persons among the resident population by sex and age group in Bremen in 1000 (1958-1973) A2.02f Displaced persons among the resident population by sex and age group in Nordrhein-Westfalen in 1000 (1958-1973) A2.02g Displaced persons among the resident population by sex and age group in Hessen in 1000 (1958-1973) A2.02h Displaced persons among the resident population by sex and age group in Rheinland-Pfalz in 1000 (1958-1973) A2.02i Displaced persons among the resident population by sex and age group in Baden-Württemberg in 1000 (1958-1973) A2.02j Displaced persons among the resident population by sex and age group in Bayern in 1000 (1958-1973) A2.02k Displaced persons among the resident population by sex and age group in West-Berlin in 1000 (1958-1973) A2.02l Displaced persons among the resident population by sex and age group in Saarland in 1000 (1958-1973) A2.03 Displaced persons among the resident population by federal sate and civil status in 1000 (1958-1973)

B: Scientific publications B1: Steinberg: Population development in Germany in the Second World War B1.01 Changes in population in German states (1939-1946) B1.02 Regional development of the civilian population in Germany (1939-1945) B1.03 Displaced persons in Germany by territory and date of displacement (1944-1955) B1.04 Arrival of displaced persons in Germany by territory of displacement (1944-1955) B1.05 Selected data on socio-economic development in Germany (1946-1987) B1.06 Regional development of population in the Federal Republic of Germany and the German Democratic Republic by states (1939-1990)

B2: Reichling: German displaces persons in numbers, part 2 B2.01a Germans from the eastern territories and from foreign countries in the federal territory in 1000 (1946-1970) B2.01b Germans from the eastern territories and from foreign countries in Schleswig-Holstein in 1000 (1946-1970) B2.01c Germans from the eastern territories and from foreign countries in Hamburg in 1000 (1946-1970) B2.01d Germans from...

PERIOD: Population census on Oct. 1, 1930. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet].

This dataset contains data on population of cities and towns in Estonia (within interwar borders) in 1897-1939. Dataset "Population of Cities and Towns in Estonia (within Interwar Borders), 1897-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".