8 datasets found
  1. Preferred height for women Australia 2019

    • statista.com
    Updated Apr 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Preferred height for women Australia 2019 [Dataset]. https://www.statista.com/statistics/1063350/australia-female-height-preferences/
    Explore at:
    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 19, 2019 - May 3, 2019
    Area covered
    Australia
    Description

    According to a survey conducted in 2019 by Ipsos on male beauty, 28 percent of Australian respondents stated that they preferred women to be between 5 feet 5 inches (about 165cm) to 5 feet 9 inches (about 175cm) tall. On the other end of the scale, only one percent of respondents stated that the ideal height for women was greater than 6 feet 2 inches (about 188cm).

  2. Average height of men and women in selected countries worldwide 2008

    • statista.com
    Updated Oct 13, 2008
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2008). Average height of men and women in selected countries worldwide 2008 [Dataset]. https://www.statista.com/statistics/235952/average-height-of-men-and-women-in-selected-countries-worldwide/
    Explore at:
    Dataset updated
    Oct 13, 2008
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2008
    Area covered
    Worldwide
    Description

    This statistic represents the average height of men and women in selected countries worldwide as of 2008. On average, men are 178.4 centimeters and women are 163.9 centimeters tall in Australia.

  3. d

    Average Height Above Valley Floor (DPIRD-074) - Datasets - data.wa.gov.au

    • catalogue.data.wa.gov.au
    Updated Apr 10, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2019). Average Height Above Valley Floor (DPIRD-074) - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/average-height-above-valley-floor
    Explore at:
    Dataset updated
    Apr 10, 2019
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Western Australia
    Description

    Predictive mapping of areas at risk of developing high water tables, generally referred to as Average Height Above Valley Floor (AHAVF). Show full description

  4. n

    Data from: Divergent male and female mate preferences do not explain...

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    zip
    Updated Mar 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Claire McLean; Richard Bartle; Caroline Dong; Katrina Rankin; Devi Stuart-Fox (2020). Divergent male and female mate preferences do not explain incipient speciation between lizard lineages [Dataset]. http://doi.org/10.5061/dryad.6m905qfws
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 27, 2020
    Dataset provided by
    The University of Melbourne
    Authors
    Claire McLean; Richard Bartle; Caroline Dong; Katrina Rankin; Devi Stuart-Fox
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Diversification in sexual signals is often taken as evidence for the importance of sexual selection in speciation. However, in order for sexual selection to generate reproductive isolation between populations, both signals and mate preferences must diverge together. Furthermore, assortative mating may result from multiple behavioural mechanisms, including female mate preferences, male mate preferences and male-male competition; yet their relative contributions are rarely evaluated. Here, we explored the role of mate preferences and male competitive ability as potential barriers to gene flow between two divergent lineages of the tawny dragon lizard, Ctenophorus decresii, which differ in male throat coloration. We found stronger behavioural barriers to pairings between southern lineage males and northern lineage females than between northern males and southern females, indicating incomplete and asymmetric behavioural isolating barriers. These results were driven by both male and female mate preferences rather than lineage differences in male competitive ability. Intrasexual selection is therefore unlikely to drive the outcome of secondary contact in C. decresii, despite its widely acknowledged importance in lizards. Our results are consistent with the emerging view that although both male and female mate preferences can diverge alongside sexual signals, speciation is rarely driven by divergent sexual selection alone.

    Methods Study species and husbandry

    We used 90 adult lizards (>65mm snout-vent length; SVL) comprising 21 male and 24 female northern lineage C. decresii from Caroona Creek Conservation Park, South Australia (-33.4114°S, 139.0945°E), and 21 male and 24 female southern lineage C. decresii from private properties around Palmer, South Australia (-34.8223°S, 139.1621°E). Lizards were collected in September in 2015 and 2016, and subsequently kept in captivity at The University of Melbourne, Victoria, Australia, where they were housed individually in 55 × 34 × 38cm (length × width × height) opaque plastic enclosures containing a layer of sand and a crevice between two ceramic tiles for shelter. Housing was maintained at temperatures and lighting cycles that mimicked natural seasonal variation, with UV lights (ZooMed T8 ReptiSun® 10.0 UVB) above each enclosure (30cm), emitting both UVA and UVB radiation. A heat lamp was provided to generate a thermal gradient and allow the lizards to attain their preferred body temperatures (approx. 36°C). Lizards were misted with water for hydration and fed live crickets dusted with multi-vitamins three times per week. All behavioural trials were conducted during the breeding seasons (August–December) in 2016 and 2017. Research methods used in this study were reviewed and approved by the Animal Ethics Committee of The University of Melbourne (1413220.3) and the South Australian Wildlife Ethics Committee (25/2015).

    Female-male behavioural trials

    Females are receptive to mating approximately 2–3 weeks after emergence from hibernation, and after laying their first or second clutch. We conducted mate preference trials during these known receptive periods, when females were in good body condition (average mass of 16.7g ± 2.9g), though receptivity cannot be determined with certainty a priori. Each female was paired with both a southern and a northern lineage male, with half of the females paired with a southern male first and the other half with a northern male first. Females were placed into the first male’s enclosure for a period of 24 hours, and then into the second male’s enclosure for the subsequent 24 hours. Both encounters were monitored and recorded using a Swann DVR8-1525 8 channel 960H digital video recorder with a PRO-615 camera attached. We conducted a total of 147 trials, with individual females paired with one southern and one northern male per reproductive cycle, in up to 2 reproductive cycles (average of 3.34 trials, with a range of 2–4 trials, per female).

    Videos were analysed using Behavioural Observation Research Interactive Software (BORIS) version 4.1.5 and both female and male behaviour was scored. For females, we recorded the number of head-bobs (pronounced nodding movement of the head), and combined the number of aggressive behaviours (biting and chasing) and times the female fled from the male as a measure of “rejection”. For males, we also recorded the number of head-bobs (courtship behaviour) as well as the number of attempts to copulate, and whether or not copulation was successful. We did not analyse the number of successful copulations as copulation was observed in only 7 of the 147 trials (although more may have taken place under the tile). Lizards were not paired for long enough to ensure mating; rather, we were interested in behaviour during initial contact as an indicator of mate preference.

    We tested whether female lineage, male lineage, or their interaction predicted: 1) number of copulation attempts, 2) number of male head-bobs, 3) number of female head-bobs and 4) number of female rejection behaviours using generalised linear mixed models (lme4 package, R). Female ID, male ID and pairing number (female’s first or second trial) were included as random factors in all models to account for repeated use of individuals, and response variables were log transformed to meet model assumptions of normality. We performed pairwise comparisons by calculating least squares means and confidence intervals using the Satterthwaite’s approximation for degrees of freedom (lmerTest package, R).

    Male-male behavioural trials

    A previous study investigating aggression levels among morphs of the northern lineage found that orange-throated males were significantly more aggressive towards territory intruders than yellow, orange-yellow or grey-throated males. Therefore, we categorised males into three behavioural groups based on lineage and throat colour morph: southern, northern high aggression (orange), or northern low aggression (yellow, orange-yellow, grey). We designed trials such that each focal male was matched with three others, representing each of the behavioural groups, in random order. Pairs were size-matched to minimize the effect of body size on contest outcome, with an average difference of 1.59mm ± 1.16mm snout vent length (SVL) between competing males.

    Contest trials were conducted in a neutral 120 × 30 × 60cm (length × width × height) enclosure (i.e. not the home enclosure of either male). An opaque divider initially separated the enclosure into two equally sized holding areas, each containing a layer of sand, ceramic tile and heat lamp. Just prior to the trial, males were weighed to obtain a measure of body condition as the residuals of a linear model of mass and SVL. The designated “focal” and “opponent” males were then placed into the separate holding areas and allowed to acclimatise for 48 hours to establish residency. At the commencement of the trial, the divider was removed and the interaction was recorded from two different angles using Panasonic HC-V770M video cameras. Trials were conducted for a maximum of 25 minutes and monitored to ensure there was no risk of injury to animals (as required under the Animal Ethics permit). Consequently, we did not record contest outcome (i.e. winner, loser) as some trials were stopped before a winner was established. To minimize stress and the potential influence of previous contest outcomes, males were not used in a subsequent trial for at least 48 hours. We conducted a total of 120 trials (involving 42 males), 26 of which were excluded due to no interaction, resulting in 94 trials which were used in the statistical analysis.

    We scored focal male behaviour from the video footage using BORIS. C. decresii males perform energetic displays during territory defence prior to engaging in physical aggression. Therefore, we recorded the number of head-bobs, tail flicks and push-ups performed by the focal male as a measure of “display behaviour”, and combined the duration of chasing and wrestling (involving biting) as a measure of “physical aggression”. We also recorded the time between the start of the trial and the focal male’s emergence from beneath the tile (“latency”), as this is an indicator of individual boldness. Display behaviour and physical aggression were divided by the total trial duration (minus latency) to account for differences in trial lengths.

    We tested whether behavioural group or body condition predicted: 1) focal male latency to emerge, 2) focal male display behaviour and 3) focal male physical aggression using generalised linear mixed models. We included focal male behavioural group, opponent male behavioural group and their interaction, as well as focal male body condition and opponent male body condition as predictor variables in the models. Additionally, focal male ID and focal male trial number were included as random factors in all models to account for repeated use of individuals. For models 2 (display behaviour) and 3 (physical aggression), the response variables were log transformed to meet model assumptions of normality, and we performed post hoc pairwise comparisons as detailed above.

  5. r

    Data from: Map: Annual Mean Wave Height (in the Australian Region)

    • researchdata.edu.au
    Updated Jun 26, 2008
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Australian Ocean Data Network (2008). Map: Annual Mean Wave Height (in the Australian Region) [Dataset]. https://researchdata.edu.au/map-annual-mean-australian-region/691827
    Explore at:
    Dataset updated
    Jun 26, 2008
    Dataset provided by
    Ocean Data Network, Inc.
    Time period covered
    Mar 1997 - Feb 1, 1999
    Area covered
    Description

    Map showing the annual mean wave height period using satellite derived wave height data generated from the Australian Bureau of Meteorology's Wave Model (WAM). This map has been produced by CSIRO for the National Oceans Office, as part of an ongoing commitment to natural resource planning and management through the 'National Marine Bioregionalisation' project. Variations in onscreen colour representation or printed reproduction may affect perception of the contained data.

  6. d

    Christmas Island Canopy Height Model (CHM) – 2011 - Datasets -...

    • catalogue.data.wa.gov.au
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Christmas Island Canopy Height Model (CHM) – 2011 - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/christmas-island-canopy-height-model-chm-2011
    Explore at:
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Christmas Island
    Description

    A 2m by 2m canopy height model (CHM) grid developed from the 2011 aerial LiDAR survey of Christmas Island. As with the 2011 DEM, the CHM was provided to Geoscience Australia in 1km by 1km ESRI grid tiles, which were then joined together using ESRI ArcMap. Each grid cell (2m x 2m) contains the maximum vegetation height in metres. Canopy height was generated by subtracting the ground height from the first laser return classified as vegetation. As a guide, the data is vertically accurate to 15cm and horizontally accurate to 30cm. For a detailed description of the survey accuracy see the AAM Survey Report. The CHM grid file was provided in GDA94 MGA zone 48 and has been left in this projection. The CHM data can be used to find the average vegetation canopy height for defined areas. LiDAR vegetation heights, along with vegetation density values have been used in other organisations to create vegetation maps, estimate carbon content, characterise species habitats and assist in decision making. Disclaimer

  7. Average portfolio size of crypto investors in Australia in 2021, by gender

    • statista.com
    • ai-chatbox.pro
    Updated Apr 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Average portfolio size of crypto investors in Australia in 2021, by gender [Dataset]. https://www.statista.com/statistics/1337612/australia-average-portfolio-size-of-crypto-investors-by-gender/
    Explore at:
    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    In Australia in 2021, the average portfolio size of male cryptocurrency investors was around 7,028 Australian dollars. The average portfolio size of females was around 270 Australian dollars less than males.

  8. Population distribution Australia 2024 by age

    • statista.com
    Updated Nov 7, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Population distribution Australia 2024 by age [Dataset]. https://www.statista.com/statistics/608088/australia-age-distribution/
    Explore at:
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    In June 2022, it was estimated that around 7.3 percent of Australians were aged between 25 and 29, and the same applied to people aged between 30 and 34. All in all, about 55 percent of Australia’s population was aged 35 years or older as of June 2022. At the same time, the age distribution of the country also shows that the share of children under 14 years old was still higher than that of people over 65 years old. A breakdown of Australia’s population growth Australia is the sixth-largest country in the world, yet with a population of around 26 million inhabitants, it is only sparsely populated. Since the 1970s, the population growth of Australia has remained fairly constant. While there was a slight rise in the Australian death rate in 2022, the birth rate of the country decreased after a slight rise in the previous year. The fact that the birth rate is almost double the size of its death rate gives the country one of the highest natural population growth rates of any high-income country.
    National distribution of the population Australia’s population is expected to surpass 28 million people by 2028. The majority of its inhabitants live in the major cities. The most populated states are New South Wales, Victoria, and Queensland. Together, they account for over 75 percent of the population in Australia.

  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2024). Preferred height for women Australia 2019 [Dataset]. https://www.statista.com/statistics/1063350/australia-female-height-preferences/
Organization logo

Preferred height for women Australia 2019

Explore at:
Dataset updated
Apr 3, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 19, 2019 - May 3, 2019
Area covered
Australia
Description

According to a survey conducted in 2019 by Ipsos on male beauty, 28 percent of Australian respondents stated that they preferred women to be between 5 feet 5 inches (about 165cm) to 5 feet 9 inches (about 175cm) tall. On the other end of the scale, only one percent of respondents stated that the ideal height for women was greater than 6 feet 2 inches (about 188cm).

Search
Clear search
Close search
Google apps
Main menu