CCRI Selected Published Tables Data Files: For each census from 1911-1951, a series of published volumes and tables were produced by the Dominion of Canada’s statistical agency. From those published books, the CCRI made a selection of 23 tables which contain information regarding particular topics such as: population (male and female counts), number of dwellings, households and families, as well as religion and origin of the people. For 1941, selected tables from published volumes (2 & 5) included: Population by principal origins, for census subdivisions, 1941 Population by selected religious denominations, for census subdivisions, 1941 Buildings, dwellings, households and families, showing tenure and type of dwelling, and composition of households and families, for counties, rural and urban, 1941

This study includes two components of the research infrastructure developed by CCRI for the 1941 Census of Canada: selected digitized published tables of aggregate data and a reconstruction of the census geography.

This data set reconstructs the census compilation and dissemination geography of the 1941 Canadian Census at the census division (CD) and census subdivision (CSD) level of geography.

The shapefiles (.shp) were derived from a comprehensive geodatabase, as part of the Canadian Century Research Infrastructure (CCRI). Detailed water polygons were replaced with a selection of major lakes in this version, indicated with the abbreviation MW in the file name, which stands for ‘major water’. These data are a part of a geographical framework constructed to enable the location, selection, aggregation, and analysis of census data, for census enumerations between 1911 and 1951.

Census: Population: Assam: Haflong data was reported at 43,756.000 Person in 03-01-2011. This records an increase from the previous number of 36,302.000 Person for 03-01-2001. Census: Population: Assam: Haflong data is updated decadal, averaging 5,197.000 Person from Mar 1941 (Median) to 03-01-2011, with 7 observations. The data reached an all-time high of 43,756.000 Person in 03-01-2011 and a record low of 1,471.000 Person in 03-01-1941. Census: Population: Assam: Haflong data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC004: Census: Population: By Towns and Urban Agglomerations: Assam.

Census: Population: West Bengal: Birnagar: Male data was reported at 15,658.000 Person in 03-01-2011. This records a decrease from the previous number of 59,232.000 Person for 03-01-2001. Census: Population: West Bengal: Birnagar: Male data is updated decadal, averaging 7,160.500 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 59,232.000 Person in 03-01-2001 and a record low of 963.000 Person in 03-01-1941. Census: Population: West Bengal: Birnagar: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC037: Census: Population: By Towns and Urban Agglomerations: West Bengal.

Russian estimates suggest that the total population of the Soviet Union in 1941 was 195.4 million people, before it fell to 170.5 million in 1946 due to the devastation of the Second World War. Not only did the USSR's population fall as a consequence of the war, but fertility and birth rates also dropped due to the disruption. Hypothetical estimates suggest that, had the war not happened and had fertility rates remained on their pre-war trajectory, then the USSR's population in 1946 would have been 39 million higher than in reality. Gender differences When it comes to gender differences, the Soviet male population fell from 94 million in 1941, to 74 million in 1946, and the female population fell from 102 to 96 million. While the male and female population fell by 19 and 5.5 million respectively, hypothetical estimates suggest that both populations would have grown by seven million each had there been no war. In actual figures, adult males saw the largest change in population due to the war, as a drop of 18 to 21 percent was observed across the three age groups. In contrast, the adult female population actually grew between 1941 and 1946, although the population under 16 years fell by a number similar to that observed in the male population due to the war's impact on fertility.

The dataset contains the historical series of the census population for the years from 1861 to 2011, broken down by marital status and gender. The 1891 and 1941 censuses were not carried out, the former for organizational and financial reasons and the latter for war reasons. The censuses of 1861 and 1871 reveal the de facto population while from 1881 the resident population is considered, the data refer to the borders of the time. For further information, it is possible to consult the Istat website http://seriestoriche.istat.it/ This dataset was released by the municipality of Milan.

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.

Census: Population: Punjab: Kharar: Male data was reported at 39,218.000 Person in 03-01-2011. This records an increase from the previous number of 22,707.000 Person for 03-01-2001. Census: Population: Punjab: Kharar: Male data is updated decadal, averaging 8,817.000 Person from Mar 1941 (Median) to 03-01-2011, with 8 observations. The data reached an all-time high of 39,218.000 Person in 03-01-2011 and a record low of 3,448.000 Person in 03-01-1941. Census: Population: Punjab: Kharar: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC029: Census: Population: By Towns and Urban Agglomerations: Punjab.

The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

The Second World War had a profound impact on gender ratios within the Soviet Union's population, and its effect on different age groups varied greatly. The Soviet population structure had already been shaped heavily by the First World War, the Russian Revolution, and the famines of the early 1920s and early 1930s. The impact of these events on mortality and fertility meant that, in 1941, the generations whose births corresponded with these events had a lower population than would be expected on a typical population model. For example, in 1941, those aged between 5 and 9 had a significantly lower population than those aged 10 to 14, due to the effects of the Soviet famine of 1932-1933. Additionally, women outnumbered men in all age groups except the very youngest, due to the disproportionate effect of conflict and infant mortality on male populations. Impact of WWII In order to observe the impact of the war, one must compare populations of specific age groups in 1941 with the following age group in 1946. For men of "fighting age" in 1941, i.e. those aged between 15 and 44, these populations experience the most substantial decrease over the course of the war. For example, there are 5.6 million men aged 15-19 in 1941, but just 3.5 million aged 20-24 in 1946, giving a decrease of 38 percent. This decrease of almost forty percent can be observed until the 45-49 group, where the difference is 25 percent. Additionally, women aged between 15 and 34 saw a disproportionate decrease in their populations over this period, as many enlisted in the army and took an active part in the conflict, most notably as medics, snipers, and pilots.

The war's impact on fertility and child mortality meant that, in 1946, the total population under four years old was less than half its size in 1941. Generally, variations between age groups then fluctuated in line with pre-war patterns, however the overall ratio of women to men increased further after the war. For all age groups over 20 years, the number of men decreased between these years, whereas all women's age groups over 30 years saw an increase; this meant that, despite the war, women over 30 had a higher life expectancy in 1946.

Census: Population: Punjab: Morinda: Male data was reported at 12,648.000 Person in 03-01-2011. This records an increase from the previous number of 11,945.000 Person for 03-01-2001. Census: Population: Punjab: Morinda: Male data is updated decadal, averaging 6,050.500 Person from Mar 1941 (Median) to 03-01-2011, with 8 observations. The data reached an all-time high of 12,648.000 Person in 03-01-2011 and a record low of 3,246.000 Person in 03-01-1941. Census: Population: Punjab: Morinda: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC029: Census: Population: By Towns and Urban Agglomerations: Punjab.

The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

About this dataset

Context

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

Key observations

The largest age group in Manassas Park city, VA was for the group of age 35 to 39 years years with a population of 1,941 (11.34%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Manassas Park city, VA was the 80 to 84 years years with a population of 107 (0.62%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Manassas Park city is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Manassas Park city 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 Manassas Park city Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

The largest age group in Grant Parish, LA was for the group of age 35-39 years with a population of 1,941 (8.73%), according to the 2021 American Community Survey. At the same time, the smallest age group in Grant Parish, LA was the 80-84 years with a population of 270 (1.21%). 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 Grant Parish is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Grant Parish 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 Grant Parish Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

The largest age group in Lakewood Township, New Jersey was for the group of age Under 5 years years with a population of 22,805 (16.69%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Lakewood Township, New Jersey was the 80 to 84 years years with a population of 1,941 (1.42%). 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 Lakewood township is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Lakewood 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 Lakewood township Population by Age. You can refer the same here

Contained within the 4th Edition (1974) of the Atlas of Canada is a set of four maps showing population percentage changes by census division. The years 1931 to 1941, 1941 to 1951, 1951 to 1961 and 1961 to 1966 are presented as the periods of change. Each of the four maps individually represents one of these periods.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows the distribution of population in what is now Canada circa 1851, 1871, 1901, 1921 and 1941. The five maps display the boundaries of the various colonies, provinces and territories for each date. Also shown on these five maps are the locations of principal cities and settlements. These places are shown on all of the maps for reference purposes even though they may not have been in existence in the earlier years. Each map is accompanied by a pie chart providing the percentage distribution of Canadian population by province and territory corresponding to the date the map is based on. It should be noted that the pie chart entitled Percentage Distribution of Total Population, 1851, refers to the whole of what was then British North America. The name Canada in this chart refers to the province of Canada which entered confederation in 1867 as Ontario and Quebec. The other pie charts, however, show only percentage distribution of population in what was Canada at the date indicated. Three additional graphs are included on this plate and show changes in the distribution of the population of Canada from 1867 to 1951, changes in the percentage distribution of the population of Canada by provinces and territories from 1867 to 1951 and elements in the growth of the population of Canada for each ten-year period from 1891 to 1951.

About this dataset

Context

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

Key observations

The largest age group in Covington, WA was for the group of age 40-44 years with a population of 1,941 (9.42%), according to the 2021 American Community Survey. At the same time, the smallest age group in Covington, WA was the 75-79 years with a population of 250 (1.21%). 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 Covington is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Covington 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 Covington Population by Age. You can refer the same here

The Holocaust was the systematic extermination of Europe's Jewish population in the Second World War, during which time, up to six million Jews were murdered as part of Nazi Germany's "Final Solution to the Jewish Question". In the context of the Second World War, the term "Holocaust" is traditionally used to reference the genocide of Europe's Jews, although this coincided with the Nazi regime's genocide and ethnic cleansing of an additional eleven million people deemed "undesirable" due to their ethnicity, beliefs, disability or sexuality (among others). During the Holocaust, Poland's Jewish population suffered the largest number of fatalities, with approximately three million deaths. Additionally, at least one million Jews were murdered in the Soviet Union, while Hungary, Latvia, Lithuania, the Netherlands and Yugoslavia also lost the majority of their respective pre-war Jewish populations. The Holocaust in Poland In the interwar period, Europe's Jewish population was concentrated in the east, with roughly one third living in Poland; this can be traced back to the Middle Ages, when thousands of Jews flocked to Eastern Europe to escape persecution. At the outbreak of the Second World War, it is estimated that there were 3.4 million Jews living in Poland, which was approximately ten percent of the total population. Following the German invasion of Poland, Nazi authorities then segregated Jews in ghettos across most large towns and cities, and expanded their network of concentration camps throughout the country. In the ghettos, civilians were deprived of food, and hundreds of thousands died due to disease and starvation; while prison labor was implemented under extreme conditions in concentration camps to fuel the German war effort. In Poland, six extermination camps were also operational between December 1941 and January 1945, which saw the mass extermination of approximately 2.7 million people over the next three years (including many non-Poles, imported from other regions of Europe). While concentration camps housed prisoners of all backgrounds, extermination camps were purpose-built for the elimination of the Jewish race, and over 90% of their victims were Jewish. The majority of the victims in these extermination camps were executed by poison gas, although disease, starvation and overworking were also common causes of death. In addition to the camps and ghettos, SS death squads (Einsatzgruppen) and local collaborators also committed widespread atrocities across Eastern Europe. While the majority of these atrocities took place in the Balkan, Baltic and Soviet regions, they were still prevalent in Poland (particularly during the liquidation of the ghettos), and the Einsatzgruppen alone are estimated to have killed up to 1.3 million Jews throughout the Holocaust. By early 1945, Soviet forces had largely expelled the German armies from Poland and liberated the concentration and extermination camps; by this time, Poland had lost roughly ninety percent of its pre-war Jewish population, and suffered approximately three million further civilian and military deaths. By 1991, Poland's Jewish population was estimated to be just 15 thousand people, while there were fewer than two thousand Jews recorded as living in Poland in 2018.