Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Switzerland County by race. It includes the distribution of the Non-Hispanic population of Switzerland County across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Switzerland County across relevant racial categories.
Key observations
Of the Non-Hispanic population in Switzerland County, the largest racial group is White alone with a population of 9,381 (95.54% of the total Non-Hispanic population).
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Switzerland County Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Switzerland County by race. It includes the population of Switzerland County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Switzerland County across relevant racial categories.
Key observations
The percent distribution of Switzerland County population by race (across all racial categories recognized by the U.S. Census Bureau): 95.28% are white, 0.28% are Black or African American, 0.10% are American Indian and Alaska Native, 1.02% are Asian, 0.36% are some other race and 2.96% are multiracial.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Switzerland County Population by Race & Ethnicity. You can refer the same here
This statistic shows the growth of Switzerland's population from 2013 to 2023, in comparison to the previous year. In 2023, Switzerland's population grew by approximately 1.26 percent compared to the previous year. See Switzerland's population figures for comparison. The Swiss population The Swiss population has been growing at a steady rate for the past few years; in general the country has experienced around a one percent population growth rate since the 1970s. Between 2004 and 2007, population growth was slightly below one percent, but has rebounded since then. This growth is supported by immigration, as the fertility rate is well below the replacement rate. The country’s strong and stable economy and the free movement of people within the European Union has helped attract foreigners. In 2015, the population of Switzerland was around 8.25 million and its foreign-born population amounted to 2.26 million people that same year, meaning that around 1 out of every four people in Switzerland are of foreign origin. But even if you are born in Switzerland, you are not automatically granted Swiss nationality, and many people who are of “foreign” origin were actually born in Switzerland but keep the nationality of their parents or do not go through what can be a lengthy process to obtain Swiss nationality. Another characteristic of the Swiss population is that Swiss people are getting older. Due to its high standard of living, Switzerland has one of the highest life expectancies in the world, and the median age of the population is now estimated at 42.3 years.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Switzerland County, IN (B03002010E018155) from 2009 to 2023 about Switzerland County, IN; IN; non-hispanic; estimate; persons; 5-year; population; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
This list ranks the 2 cities in the Switzerland County, IN by Multi-Racial Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
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.
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/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Swiss town by race. It includes the population of Swiss town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Swiss town across relevant racial categories.
Key observations
The percent distribution of Swiss town population by race (across all racial categories recognized by the U.S. Census Bureau): 73.14% are white, 2.26% are Black or African American, 20.48% are American Indian and Alaska Native, 0.53% are some other race and 3.59% are multiracial.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Swiss town Population by Race & Ethnicity. You can refer the same here
http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by
This dataset shows the resident population of the Canton of Basel-Stadt by gender, age and nationality (Switzerland/abroad) at the level of residential districts. The data is updated annually. For methodological reasons, the values published here from 1979 to 2011 differ from those in cantonal public statistics: In the latter, the population was determined by updating until 2011. Since 2012, it has been based directly on evaluations from the cantonal population register. The figures published here, on the other hand, have been based on analyses from the population register since 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 t...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Swiss town population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Swiss town.
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)
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.
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/.
This dataset contains data on the resident population of the canton of Basel-Stadt at the end of the year by nationality (Switzerland/abroad) and cantonal citizenship at block level. Persons at administrative registration addresses are not taken into account. At administrative registration addresses, persons are reported for administrative reasons, but who do not have a physical residence there (e.g. KESB). For data protection reasons, only room units with at least 4 inhabitants are designated.
As of January 2025, about 59 million people lived in Italy. Around 29 million individuals were males and 30 million people were females. The most populated area of the country was the north-west, where 15.9 million people lived. Furthermore, the southern regions counted 13.4 million inhabitants, representing the second most populous area of the country. Regional census The northern region of Lombardy is the most populous region of Italy. One-sixth of all the Italian population is concentrated in this area. Lazio and Campania follow with approximately 5.7 million and 5.6 million individuals, respectively. On the other hand, Aosta Valley, a northern region bordering to France and Switzerland, counted 123,000 inhabitants, representing the smallest region of Italy in terms of residents as well as area. More and more Italians are moving abroad In recent years, the number of Italians reported living abroad increased. In 2022, 5.8 million people lived outside Italy, almost three million more than in 2006. The country hosting the largest Italian population is Argentina, while other large Italian communities reside in Germany, Switzerland, and Brazil.
The dataset includes the permanent resident population in persons by municipality, gender and nationality (two categories: Switzerland and abroad) from 2015. Also listed is the district affiliation of a municipality.The data come from the cantonal population survey of the Service for Statistics Canton Thurgau. The permanent resident population includes all persons with main residence in the canton of Thurgau. For the foreign population, persons with the residence permit (C), residence permit (B) or short-stay permit (L) of 12 months or more are taken into account. The population in persons is listed as at 31.12. The exact description of the codes used in the records is listed in the codebook under “More information”.
http://dcat-ap.ch/vocabulary/licenses/terms_by_askhttp://dcat-ap.ch/vocabulary/licenses/terms_by_ask
This dataset presents the figures of the resident population at economic residence by canton, district and municipality, nationality (Switzerland, abroad), gender and economic sector, 1970, 1980, 1990 and 2000.
http://dcat-ap.ch/vocabulary/licenses/terms_by_askhttp://dcat-ap.ch/vocabulary/licenses/terms_by_ask
This dataset presents the figures of the resident population by business sector, nationality (Switzerland, abroad) and gender, 2000.
The dataset includes the permanent resident population in persons by district, individual age and nationality (two categories: Switzerland and abroad) from 2015. 100-year-olds and older adults are grouped into a collection category “100+”. The data come from the cantonal population survey of the Statistical Office of the Canton of Thurgau. The permanent resident population includes all persons with main residence in the canton of Thurgau. For the foreign population, persons with the residence permit (C), residence permit (B) or short-stay permit (L) of 12 months or more are taken into account. The population in persons is listed as at 31.12. The exact description of the codes used in the records is listed in the codebook under “More information”. Source: Department of Statistics Canton Thurgau, cantonal population survey.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Switzerland County Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Switzerland County, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Switzerland County.
Key observations
Among the Hispanic population in Switzerland County, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 77 (81.05% of the total Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Origin for Hispanic or Latino population include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Switzerland County Population by Race & Ethnicity. You can refer the same here
The record includes the permanent resident population from 2007 to 2014 in persons by municipality, gender and nationality (Switzerland, abroad). The district affiliation of a municipality is also listed. The data come from the cantonal population survey of the Statistical Office of the Canton of Thurgau. The permanent resident population included all persons with main residence in the canton of Thurgau. Not counted were asylum seekers, provisionally admitted foreigners and short-term residents. Note: With a cut-off date of 31. December In 2015, the population statistics of the canton of Thurgau were revised (Governmental Council Decision No 809 of 27.10.2015). The changes concern the production process and the definition of the population. As of 2015, short stays will be added to the permanent resident population for more than 12 months. Accordingly, the available data can only be compared to the data from 2015. In addition, the catalogue of features was significantly smaller until 2014 due to the survey form (paper survey).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Switzerland County by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Switzerland County across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 50.82% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Switzerland County Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in Switzerland County. 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 Switzerland County population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 95.28% of the total residents in Switzerland County. Notably, the median household income for White households is $65,132. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $65,132.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Switzerland County median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Swiss town median household income by race. The dataset can be utilized to understand the racial distribution of Swiss town income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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.
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Swiss town median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Switzerland County by race. It includes the distribution of the Non-Hispanic population of Switzerland County across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Switzerland County across relevant racial categories.
Key observations
Of the Non-Hispanic population in Switzerland County, the largest racial group is White alone with a population of 9,381 (95.54% of the total Non-Hispanic population).
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Switzerland County Population by Race & Ethnicity. You can refer the same here