About this dataset

Context

The dataset presents the median household income across different racial categories in Victoria. 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 Victoria population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 89.87% of the total residents in Victoria. Notably, the median household income for White households is $191,825. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $250,001. This reveals that, while Whites may be the most numerous in Victoria, Asian households experience greater economic prosperity in terms of median household income.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Victoria.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 median household income by race. You can refer the same here

Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.

Canada's largest metropolitan area is Toronto, in Ontario. In 2022. Over 6.6 million people were living in the Toronto metropolitan area. Montréal, in Quebec, followed with about 4.4 million inhabitants, while Vancouver, in Britsh Columbia, counted 2.8 million people as of 2022.

澳大利亚 Population: Resident: Estimated: Annual: Victoria: Greater Melbourne在2017达4,843,781.000 人口，相较于2016的4,714,387.000 人口有所增长。澳大利亚 Population: Resident: Estimated: Annual: Victoria: Greater Melbourne数据按每年更新，2006至2017期间平均值为4,217,604.500 人口，共12份观测结果。该数据的历史最高值出现于2017，达4,843,781.000 人口，而历史最低值则出现于2006，为3,760,760.000 人口。CEIC提供的澳大利亚 Population: Resident: Estimated: Annual: Victoria: Greater Melbourne数据处于定期更新的状态，数据来源于Australian Bureau of Statistics，数据归类于Global Database的澳大利亚 – Table AU.G002: Estimated Resident Population。

The Australian dingo is a relatively recent anthropogenic addition to the Australian fauna, which spread rapidly across the continent and has since widely interbred with modern dogs. Genetic studies of dingoes have given rise to speculation about their entry to the continent and subsequent biogeographic effects, but few studies of their contemporary population structure have been conducted. Here we investigated the dingo ancestry and population structure of free-living dogs in western Victoria and contrasted it with a wider southern Australian sample. We wished to determine whether their geographic isolation was mirrored in genetic isolation. To address this question, we analysed genetic data using Bayesian clustering and discriminant analysis of principal components, and summarised genetic diversity at the population and individual levels. Upon finding low genetic diversity in western Victoria, we tested for a recent genetic bottleneck. The broader southern Australia sample (n=1,138) c...

Victoria in Future 2016 (VIF2016) is the official state government projection of population and households. Projections are used by decision makers across government and in other areas. The results are driven by assumptions concerning demographic and land use trends. Projections are based on the latest (30 June 2015) population estimates from the Australian Bureau of Statistics (ABS) and incorporate the results of the 2011 Census. For Victoria and major regions, the projections cover the period from 2011 to 2051. For Local Government Areas (LGA) and Victoria in Future Small Areas (VIFSA), the projections extend to 2031.

Ambulance Victoria has two official response time targets: Respond to Code 1 incidents within 15 minutes for 85% of incidents state-wide, and Respond to Code 1 incidents within 15 minutes for 90% of incidents in urban centres with populations greater than 7,500. Response times are an important measure of the service we provide, but are only one of a number of measures used to gauge the effective delivery of an ambulance service. \r Our response times are measured from the receipt of the triple zero (000) call until paramedics arrive on scene. Response times are influenced by many factors including traffic, distance required to travel, availability of ambulances and demand for our services. \r We designate those patients that require urgent paramedic and hospital care as "Code 1", and these patients receive a "lights and sirens" response. The tables provide information about our Code 1 response time performance by both Local Government Area (LGA) and Urban Centres and Localities (UCL). Code 2 incidents are acute, but not time critical and do not require a lights and sirens response. AV's average Code 2 response time performance has also been provided. \r As part of our process of continual improvement, the response time performance shown below has been calculated using data sourced from the Computer Aided Dispatch (CAD) system used across Victoria. UCLs : These are geographical areas based on the Australian Bureau of Statistics Urban Centres and Localities (UCLs) boundaries and residential population. Ambulance Victoria reports performance for larger UCLs where population exceeds 7,500 persons.

Number and rate (per 100,000 population) of homicide victims, Canada and Census Metropolitan Areas, 1981 to 2023.

Ambulance Victoria has two official response time targets: Respond to Code 1 incidents within 15 minutes for 85% of incidents state-wide, and Respond to Code 1 incidents within 15 minutes for 90% of incidents in centres with populations greater than 7,500. Response times are an important measure of the service we provide, but are only one of a number of measures used to gauge the effective delivery of an ambulance service. Our response times are measured from the receipt of the triple zero (000) call until paramedics arrive on scene. Response times are influenced by many factors including traffic, distance required to travel, availability of ambulances and demand for our services. We designate those patients that require urgent paramedic and hospital care as "Code 1," and these patients receive a "lights and sirens" response. The tables provide information about our Code 1 response time performance by both Local Government Area (LGA) and Urban Centres and Localities (UCL). Code 2 incidents are acute, but not time critical and do not require a lights and sirens response. AV's average Code 2 response time performance has also been provided. As part of our process of continual improvement, the response time performance shown below has been calculated using data sourced from the Computer Aided Dispatch (CAD) system used across Victoria. UCLs : These are geographical areas based on the Australian Bureau of Statistics Urban Centres and Localities (UCLs) boundaries and residential population. Ambulance Victoria reports performance for larger UCLs where population exceeds 7,500 persons.

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.

Differences in the number and proportion of persons with and without disabilities, aged 15 years and over, by census metropolitan areas.

Ambulance Victoria has two official response time targets: Respond to Code 1 incidents within 15 minutes for 85% of incidents state-wide, and Respond to Code 1 incidents within 15 minutes for 90% of incidents in centres with populations greater than 7,500. Response times are an important measure of the service we provide, but are only one of a number of measures used to gauge the effective delivery of an ambulance service. Our response times are measured from the receipt of the triple zero (000) call until paramedics arrive on scene. Response times are influenced by many factors including traffic, distance required to travel, availability of ambulances and demand for our services. We designate those patients that require urgent paramedic and hospital care as "Code 1," and these patients receive a "lights and sirens" response. The tables provide information about our Code 1 response time performance by both Local Government Area (LGA) and Urban Centres and Localities (UCL). Code 2 incidents are acute, but not time critical and do not require a lights and sirens response. AV's average Code 2 response time performance has also been provided. As part of our process of continual improvement, the response time performance shown below has been calculated using data sourced from the Computer Aided Dispatch (CAD) system used across Victoria. Local government in Victoria comprises of 79 municipal districts. They are often referred to as local government areas (LGAs). The number of LGAs and their boundaries can change over time. LGAs are as defined by Local Government Victoria, which is part of the Department of Transport, Planning and Local Infrastructure.

The Geelong Preventative Health Survey (GPHS) is conducted every four years to help us better understand the health status of the Greater Geelong population. This datasets contains results for 2017, 2021 and 2024 surveys. More information and visualisations of the data be found in the GPHS dashboard.