About this dataset

Context

The dataset tabulates the population of Victoria by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Victoria. The dataset can be utilized to understand the population distribution of Victoria by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Victoria. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Victoria.

Key observations

Largest age group (population): Male # 25-29 years (49) | Female # 35-39 years (49). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Victoria population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Victoria is shown in the following column.
• Population (Female): The female population in the Victoria is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Victoria for each age group.

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 Victoria Population by Gender. You can refer the same here

In 2023, about 7.8 percent of the population of the Australian state of Victoria was between 30 and 34 years old. Approximately 2.1 percent of the population of Victoria was over 85 years of age.

Australia Population: Resident: Estimated: Male: State: Victoria data was reported at 3,466,834.000 Person in Sep 2024. This records an increase from the previous number of 3,450,134.000 Person for Jun 2024. Australia Population: Resident: Estimated: Male: State: Victoria data is updated quarterly, averaging 2,393,558.000 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 3,466,834.000 Person in Sep 2024 and a record low of 1,958,717.000 Person in Jun 1981. Australia Population: Resident: Estimated: Male: State: Victoria data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G002: Estimated Resident Population.

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.

2011 Census population by age and gender. Data adapted from 2011 National Household Survey.

About this dataset

Context

The dataset tabulates the data for the Victoria, IL population pyramid, which represents the Victoria population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Victoria, IL, is 27.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Victoria, IL, is 28.0.
• Total dependency ratio for Victoria, IL is 55.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Victoria, IL is 3.6.

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 for the Victoria population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Victoria for the selected age group is shown in the following column.
• Population (Female): The female population in the Victoria for the selected age group is shown in the following column.
• Total Population: The total population of the Victoria for the selected age group is shown in the following column.

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 Victoria Population by Age. You can refer the same here

This dataset provides the population by gender for 2011 in Mainland Australia. The data is aggregated to Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). Show full descriptionThis dataset provides the population by gender for 2011 in Mainland Australia. The data is aggregated to Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). The Industry Atlas of Victoria is a graphic snapshot of the State's economy - in Melbourne and regional Victoria. Highly informative maps have been derived from the 2006 Census, supplemented by up-to-date Australian Bureau of Statistics (ABS) data, to provide insight into the number and distribution of businesses, industries and the workforce. The Atlas provides fascinating information and valuable input into future industry policy development and infrastructure planning. Copyright attribution: Government of Victoria - Department of State Development Business and Innovation, (2014): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

The data in the reporting module is based on the data collected through the\r
Victorian Population Health Survey (VPHS) 2008. The VPHS is an important\r
component of the population health surveillance capacity of the Department of\r
Health.\r
\r
The VPHS has been conducted each year since 2001, and previously was based on\r
a sample of approximate 7500 adults aged 18 years and over, randomly selected\r
from households in the state. In 2008, the sample was expanded to\r
approximately 34,000 to enable analysis at the local government area (LGA)\r
level. The VPHS is an ongoing source of high quality information on the health\r
and wellbeing of Victorian adults. Further information about the VPHS,\r
methods, and previous survey reports can be found on Health Status of\r
Victorians website.\r
\r

Overall, there is no significant difference between the numbers of men and women. The 65 to 69 years old age cohort exhibits the largest discrepancy with a difference of 30 people between the sexes. Furthermore, majority of the population is between the ages 65 to 69 years old, comprising 9.24 per cent of the population.

About this dataset

Context

The dataset tabulates the Victoria population by age. The dataset can be utilized to understand the age distribution and demographics of Victoria.

Content

The dataset constitues the following three datasets

• Victoria, IL Age Group Population Dataset: A complete breakdown of Victoria age demographics from 0 to 85 years, distributed across 18 age groups
• Victoria, IL Age Cohorts Dataset: Children, Working Adults, and Seniors in Victoria - Population and Percentage Analysis
• Victoria, IL Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

This data set includes population and electronic gaming machine (EGM) expenditure breakdowns by local government area (LGA) and gaming venue, demographic statistics, labour statistics and Socio-Economic Indexes for Areas (SEIFA) LGA score and ranking per LGA for the 2011/12 financial year. The data has been joined with LGA 2006 boundaries.

For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website.

Please note:

• AURIN has spatially enabled the original data.

• Data may not have been fully audited to date. Any changes are unlikely to have a material effect on the figures provided.

• EGM Numbers: a venue may be operating less machines than its licensed or attached numbers

• Gaming Machine Density calculations are based on operating gaming machines with attached entitlements divided by adult population divided by 1,000 (gaming machines per 1,000 adults).

• Expenditure / EGM: Refers to the average Expenditure per Gaming Machine.

• Disclaimer: Care must be taken in using any figures for an LGA involving net expenditure and population. The expenditure per person in an LGA may include an amount of expenditure coming from persons not living within the LGA.

This data set includes population and electronic gaming machine (EGM) expenditure breakdowns by local government area (LGA) and gaming venue, demographic statistics, labour statistics and Socio-Economic Indexes for Areas (SEIFA) LGA score and ranking per LGA for the 2016/17 financial year. The data has been joined with LGA 2011 boundaries. For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website. Please note: AURIN has spatially enabled the original data. EGM Numbers: a venue may be operating less machines than its licensed or attached numbers Gaming Machine Density calculations are based on operating gaming machines with attached entitlements divided by adult population divided by 1,000 (gaming machines per 1,000 adults).

Demographic characteristics of primiparous women delivering in Victoria by residential area socioeconomic status* and maternal region of birth, Victoria 1999–2008.

Socio-economic and demographic characteristics of women married fishermen along Lake Victoria in Kisumu County.

This data set includes population and electronic gaming machine (EGM) expenditure breakdowns by local government area (LGA) and gaming venue, demographic statistics, labour statistics and Socio-Economic Indexes for Areas (SEIFA) LGA score and ranking per LGA for the 2017/18 financial year. The data has been joined with LGA 2011 boundaries. For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website. Please note: AURIN has spatially enabled the original data. EGM Numbers: a venue may be operating less machines than its licensed or attached numbers Gaming Machine Density calculations are based on operating gaming machines with attached entitlements divided by adult population divided by 1,000 (gaming machines per 1,000 adults).

A combination of surveys and experiments were used to determine the size distribution, recruitment, mortality and growth rates of Siphonaria diemenensis in 2 zones on the rocky shore at Griffith Point, San Remo, Victoria. One zone was in the high intertidal (Zone 2) and one was in the low intertidal area on the shore. There were 3 sites in Zone 1 and 2 sites in Zone 2 (see parent record for more details). A size frequency distribution was constructed for each site from surveys that recorded the size of all individuals every 2 months from October 1979 to December 1981. In addition to the sites in Zone 1 there were 12 permanent quadrats (50 x 50cm) which were surveyed in the same manner from December 1980 to December 1981. The sizes of recruits were similar in both Zones but the sizes of adults were significantly greater in Zone 2. In both years, the maximum density of recruits in Zone 1 was greater than in Zone 2. The mortality rate of adult limpets in Zone 2 was lower compared to limpets in Zone 1. The growth rates (mm per month) of marked individuals were calculated for 3 time intervals; January-March, March-May and May-late July (Zone 2) and Mary-early August (Zone 1) in 1981. Limpets in Zone 2 grew faster (average 0.63 mm per month) than the limpets in Zone 1 (average 0.11mm per month). In addition, an experiment was conducted in Zone 1 from May to July in 1981 to determine the effects of adult density and macroalgal cover on limpet recruitment. It was found that there was no effect of adult density but a significant interactive effect of algal cover and sampling date on the number of limpet recruits.

Descriptive statistics of women of Victoria who were in the hospital admitted at least once during the period 2000–2013 by their country of birth (women who were born in Australia, Muslim and Non–Muslim countries) (Source: Victorian Admitted Episodes Database).

This data set includes population and electronic gaming machine (EGM) expenditure breakdowns by local government area (LGA) and gaming venue, demographic statistics, labour statistics and Socio-Economic Indexes for Areas (SEIFA) LGA score and ranking per LGA for the 2009/10 financial year. The data has been joined with LGA 2006 boundaries. For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website. Please note: AURIN has spatially enabled the original data. EGM Numbers: a venue may be operating less machines than its licensed or attached numbers Gaming Machine Density calculations are based on operating gaming machines with attached entitlements divided by adult population divided by 1,000 (gaming machines per 1,000 adults).

Victorian Child and Adolescent Monitoring System - This data is collected as part of the Victorian Student Health and Wellbeing Survey (VSHWS), also known as 'About you' by DET. About You included a …Show full descriptionVictorian Child and Adolescent Monitoring System - This data is collected as part of the Victorian Student Health and Wellbeing Survey (VSHWS), also known as 'About you' by DET. About You included a sample of approximately 6,000 students from 264 Victorian schools, in Years 5, 8 and 11. It also collected direct height and weight measurements for a subsample of around 1,500 students from 80 schools. The Australian Bureau of Statistics (ABS) defines Standard Error (SE) as a measure of the variation between any estimated population value that is based on a sample rather than the true value for the population. The Relative Standard Error (RSE) is the standard error expressed as a fraction of the estimated value and is usually displayed as a percentage. Relative standard errors of 25% to 50% should be used with caution. Relative standard errors greater than 50% are considered too unreliable for general use.

The data comprises 8 experiments (FRA25HLTN, FRB25HLTN, FRC25HLTN, FRD25HLTN, FRI25CPVT, FRJ25CPVT, FRK25CPVT, FRL25CPVT) conducted to collect adult plant data for wheat reactions to infection with Septoria tritici blotch. For the adult plants, infection was from natural field inoculum, reactions scored as STB_A 1-9 scale and Percentage of Pycnidia density covered on Necrosis, plant maturity recorded as Zadock scale. Four RIL (F5 seed) segregating populations WW2449 x Flech D'or, WW2449 x SF Adagio, WW2449 x WW33612, Summit x Bulgaria 88. Field experiemnts conducted at Wagga Wagga Agricultural Institute (-35.05287,147347657) with supplementary overhead irrigation and DEDJTR Hamilton Centre (-37.821254,142.065262) rainfed conditions. For example of methods used to collect data DOI: 10.3389/fpls.2022.990915, Multi-stage resistance to Zymoseptoria tritici revealed by GWAS in an Australian bread wheat diversity panel, N. Yang, B. Ovenden, B. Baxter, M. C. McDonald, P. S. Solomon and A. Milgate, Frontiers in Plant Science 2022 Vol. 13.