In the elite domain of interactive sports, athletes who demonstrate a left preference (e.g., holding a weapon with the left hand in fencing or boxing in a ‘southpaw’ stance) seem overrepresented. Such excess indicates a performance advantage and was also interpreted as evidence in favour of frequency-dependent selection mechanisms to explain the maintenance of left-handedness in humans. To test for an overrepresentation, the incidence of athletes' lateral preferences is typically compared with an expected ratio of left- to right-handedness in the normal population. However, the normal population reference values did not always relate to the sport-specific tasks of interest, which may limit the validity of reports of an excess of ‘left-oriented’ athletes. Here we sought to determine lateral preferences for various sport-specific tasks (e.g., baseball batting, boxing) in the normal population and to examine the relationship between these preferences and handedness. To this end, we asked 903 participants to indicate their lateral preferences for sport-specific and common tasks using a paper-based questionnaire. Lateral preferences varied considerably across the different sport tasks and we found high variation in the relationship between those preferences and handedness. In contrast to unimanual tasks (e.g., fencing or throwing), for bimanually controlled actions such as baseball batting, shooting in ice hockey or boxing the incidence of left preferences was considerably higher than expected from the proportion of left-handedness in the normal population and the relationship with handedness was relatively low. We conclude that (i) task-specific reference values are mandatory for reliably testing for an excess of athletes with a left preference, (ii) the term ‘handedness’ should be more cautiously used within the context of sport-related laterality research and (iii) observation of lateral preferences in sports may be of limited suitability for the verification of evolutionary theories of handedness.

According to a study conducted between 2021 and 2022, ** percent of people experiencing homelessness in California left their last housing in the United States due to conflict among residents. A further ** percent said that they left their last housing because they didn't want to impose or because they wanted their own space.

Percentage left-handedness distribution in both the study group and the control group, by age.

In Italy, the share of young people who leave school or traning prematurely is higher among males and than among females. In addition, Southern regions record higher share of young people who end their education prematurely. In 2019, Sicily registered the higher share in the country, with 24.5 percent of males and 20.1 percent of females.

Economically Active Population Survey: Inactive population who have worked previously and left their last job more than 1 year ago by occupation in last job, sex and age group. Percentages with regards the total in each occupation. Annual. National.

Economically Active Population Survey: Unemployed population who have previously worked and left their last job more than 1 year ago by economic sector of last job, sex and age group. Percentages with regards each age group. Annual. National.

Analysis of ‘Inactive population who have worked previously and left their last job more than 1 year ago by occupation in last job, sex and age group. Percentages with regards the total in each occupation. EPA (API identifier: 5338)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/urn-ine-es-tabla-t3-347-5338 on 08 January 2022.

--- Dataset description provided by original source is as follows ---

Table of INEBase Inactive population who have worked previously and left their last job more than 1 year ago by occupation in last job, sex and age group. Percentages with regards the total in each occupation. Annual. National. Economically Active Population Survey

--- Original source retains full ownership of the source dataset ---

Economically Active Population Survey: Inactive population who have worked previously and left their last job more than 1 year ago by professional situation in last job, sex and age group. Percentages with regards the total in each profess. Annual. National.

According to a study conducted between 2021 and 2022, 22 percent of people experiencing homelessness in California said that they left their last housing in the United States due to lost or reduced income. A further 12 percent cited high housing costs as the main economic reason for why they left their last housing.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2018, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2018 edition of the Local Government Areas (LGA). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes.

AURIN has spatially enabled the data.

Regions which contain unpublished data have been left blank in the dataset.

Where regions have zero population, the relating ratio and percentage columns have been left blank.

Effect of hiPSI TTN truncating variants, a 0.1 change in fraction of genetic similarity to the AFR reference population, and the interaction of the two covariates in linear regression analysis of change in LVEF accounting for age, sex, and the first five genetic PCs. hiPSI = high percentage spliced in; LVEF = left ventricular ejection fraction; UCB = upper confidence bound; LCB = lower confidence bound; AFR = genetically similar to the 1000 Genomes Project African reference population.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2019, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes.

AURIN has spatially enabled the data.

Regions which contain unpublished data have been left blank in the dataset.

Where regions have zero population, the relating ratio and percentage columns have been left blank.

Age-sex charts emphasize the gap between the numbers of males and females at a specific age group. It also illustrates the age and gender trends across all age and gender groupings. A chart skewed heavily to the left describes a very young population while a chart skewed heavily to the right illustrates an aging population.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2018, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes. AURIN has spatially enabled the data. Regions which contain unpublished data have been left blank in the dataset. Where regions have zero population, the relating ratio and percentage columns have been left blank.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2017, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2017 edition of the Local Government Areas (LGA). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes.

AURIN has spatially enabled the data.

Regions which contain unpublished data have been left blank in the dataset.

Where regions have zero population, the relating ratio and percentage columns have been left blank.

The global market for left-handed outswing front entry doors presents a compelling investment opportunity. While precise market size data for this niche segment is unavailable, we can extrapolate from the broader entry door market. Considering the overall entry door market's substantial size (let's assume a global market value of $25 billion in 2025 for illustrative purposes, reflecting a reasonable estimate based on industry reports), and assuming left-handed outswing doors constitute approximately 5% of the total market (a conservative estimate considering left-handed individuals comprise around 10% of the population but acknowledging a lower adoption rate due to niche specifics), the 2025 market size for this segment is estimated at $1.25 billion. Driving growth are factors such as increasing home construction and renovation activity, rising demand for customized and aesthetically pleasing doors, and a growing focus on accessibility and inclusivity, catering to the needs of left-handed individuals. Key trends include the integration of smart home technology, the preference for energy-efficient materials like fiberglass and steel, and innovative designs that enhance both security and curb appeal. However, constraints include fluctuating raw material prices, supply chain disruptions, and regional economic variations. The compound annual growth rate (CAGR) is projected to be 4.5% from 2025 to 2033, indicating steady market expansion during this period. This growth will be influenced by market penetration in developing economies and the continued adoption of eco-friendly, high-performance door materials. The segmentation of the left-handed outswing front entry door market mirrors the larger entry door market. Material type (aluminum, glass, wood, steel, fiberglass) and application (commercial, residential) are key differentiators. Aluminum and fiberglass are expected to show robust growth due to their durability and cost-effectiveness. The residential segment is anticipated to dominate, fueled by increased homeownership rates and renovation projects. Key players in the market, including established manufacturers like Andersen, Jeld-Wen, and Pella, are strategically focusing on innovation and differentiation to maintain their competitive edge. Regional growth patterns reflect global construction and economic activity, with North America and Europe projected as major markets. A deeper regional breakdown would reveal variations based on factors like building codes, cultural preferences, and economic conditions.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2019, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2019 edition of the Local Government Areas (LGA). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes. AURIN has spatially enabled the data. Regions which contain unpublished data have been left blank in the dataset. Where regions have zero population, the relating ratio and percentage columns have been left blank.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2017, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

• Where regions have zero population, the relating ratio and percentage columns have been left blank.

This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).