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TwitterAs of 2023, roughly 5.03 million out of Finland's total population of 5.6 million were of Finnish origin. After Finnish and European origins, the largest inhabitant groups in Finland were of Asian and African origin.
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This list ranks the 9 cities in the White County, AR by Finnish population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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
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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/.
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TwitterAs of 2024, roughly 5.01 million out of Finland's total population of 5.64 million were of Finnish origin. The majority of non-Finnish inhabitants were immigrants from Europe including Cyprus and Turkey. Around 305,300 inhabitants were of European origin, followed by 212,481 inhabitants of Asian origin.
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This list ranks the 1 cities in the White Pine County, NV by Finnish population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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/.
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This list ranks the 2 cities in the White County, TN by Finnish population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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/.
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Population size (N) is an estimate of all individuals (calves, 1-year olds and adults) of both sexes. Information on population composition distinguishes female (f) and male (m) age groups. Detailed information on the establishment and available census statistics for the period 1934–1984 are provided in Table S1.
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The white-tailed deer is an important game species in Finland. We evaluated the potential of estimating the white-tailed deer pre-harvest density using non-invasive DNA collection within a spatial capture–recapture (SCR) framework. We sampled faeces during three weekly visits in autumn 2015 from 180, 20 x 20 m plots clustered in groups of four. Individual identification was based on 12–14 microsatellites. Of the 245 faecal samples collected, an individual could be identified from only 36 (15%). We identified 27 white-tailed deer individuals of which seven were recaptured. The SCR model produced a plausible density estimate (3.5 indiv. km–2) which was similar to estimates based on dung count and large-scale national estimates, although a posteriori simulation showed the SCR estimate was likely positive biased. Although we found that SCR based on faecal DNA can provide pre-harvest density estimates of the white-tailed deer, the approach is not without challenges and we discuss these suggesting possible solutions.
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This list ranks the 2 cities in the White County, GA by Finnish population, as estimated by the United States Census Bureau. It also highlights population changes in each city 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/.
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In heterogeneous landscapes, resource selection constitutes a crucial link between landscape and population-level processes such as density. We conducted a non-invasive genetic study of white-tailed deer in southern Finland in 2016 and 2017 using fecal DNA samples to understand factors influencing white-tailed deer density and space use in late summer prior to the hunting season. We estimated deer density as a function of landcover types using a spatial capture-recapture (SCR) model with individual identities established using microsatellite markers. The study revealed second-order habitat selection with highest deer densities in fields and mixed forest, and third-order habitat selection (detection probability) for transitional woodlands (clear-cuts) and closeness to fields. Including landscape heterogeneity improved model fit and increased inferred total density compared with models assuming a homogenous landscape. Our findings underline the importance of including habitat covariates when estimating density and exemplifies that resource selection can be studied using non-invasive methods.
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TwitterDuring the Second World War, the three Axis powers of Germany, Italy, and Finland mobilized the largest share of their male population. For the Allies, the Soviet Union mobilized the largest share of men, as well as the largest total army of any country, but it was restricted in its ability to mobilize more due to the impact this would have on its economy. Other notable statistics come from the British Empire, where a larger share of men were drafted from Dominions than from the metropole, and there is also a discrepancy between the share of the black and white populations from South Africa.
However, it should be noted that there were many external factors from the war that influenced these figures. For example, gender ratios among the adult populations of many European countries was already skewed due to previous conflicts of the 20th century (namely WWI and the Russian Revolution), whereas the share of the male population eligible to fight in many Asian and African countries was lower than more demographically developed societies, as high child mortality rates meant that the average age of the population was much lower.
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Household appliance manufacturers specialise in the production of white goods, from washing machines to refrigerators. These products are considered a necessity in most households, feeding into the everyday lives of the European population. The industry's fortunes are typically driven by the health of European households' income levels and the underlying strength of residential construction markets. Revenue is expected to grow at a compound annual rate of 2.3% over the five years through 2025 to €107.2 billion, including a slight hike of 0.1% in 2025. Recently, domestic appliance manufacturers have faced a turbulent time, as lingering supply chain disruptions following the COVID-19 outbreak led to material shortages and a hike in costs. This contributed to a drop in profit over the two years through 2023, forcing manufacturers to implement cost-cutting measures and pivot into premium markets less sensitive to price hikes. Disruptions tightened their grip in 2022 following Russia’s invasion of Ukraine, which invited economy-wide inflationary pressures and a widespread slowdown in housebuilding activity, weighing on revenue growth. Over the two years through 2024, Europe has contended with inflated living costs, hitting discretionary spending and hurting demand for household appliances. According to EY, in 2025, inflation in the EU is set to hover around 2%, considerably lower than the peaks seen in 2022, supporting a marginal uptick in revenue. However, despite inflation easing, prices continue to rise and put pressure on household finances, stemming the rise in revenue during 2025. Revenue is slated to swell at a compound annual rate of 4.2% over the five years through 2030 to €131.5 billion. The essential role of white goods in European homes means there's always a strong demand for the industry's products. The rise in smart-home technology will continue to fuel demand for more advanced domestic appliances, while the push for more energy-efficient goods promises to drive innovation among manufacturers.
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TwitterAs of 2023, roughly 5.03 million out of Finland's total population of 5.6 million were of Finnish origin. After Finnish and European origins, the largest inhabitant groups in Finland were of Asian and African origin.