The 2015 profiles (released November 2016) include over 220 variables from a wide range of data sources. The profiles provide measures on a broad range of topics including: population, diversity, disadvantage and social engagement, housing, transport and education, health status and service utilisation, child and family characteristics and service utilisation. Rankings are provided to enable comparison of LGAs, along with the Victorian averages. The profiles are structured to provide a measure on each variable for each Local Government Area (LGA), and to also enable comparisons by providing rankings against all Local Government Areas as well as the Victorian measure. Profiles are also provided for former Department of Health regions, as well as the former Department of Human Services operational service areas and divisions. Note that all data is the most current available at the time of publication. Based on the Australian Statistical Geography Standard (ASGS), Non ABS Structures, 2015 (note, according to the ABS website LGA boundaries have not changed since 2014).

About this dataset

Context

The dataset tabulates the Victoria County household income by gender. The dataset can be utilized to understand the gender-based income distribution of Victoria County income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Victoria County, TX annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Victoria County, TX annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2022)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Victoria County income distribution by gender. You can refer the same here

This dataset contains hourly pedestrian counts since 2009 from pedestrian sensor devices located across the city. The data is updated on a monthly basis and can be used to determine variations in pedestrian activity throughout the day.The sensor_id column can be used to merge the data with the Pedestrian Counting System - Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting pedestrian counts over time.Importants notes about this dataset:• Where no pedestrians have passed underneath a sensor during an hour, a count of zero will be shown for the sensor for that hour.• Directional readings are not included, though we hope to make this available later in the year. Directional readings are provided in the Pedestrian Counting System – Past Hour (counts per minute) dataset.The Pedestrian Counting System helps to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.Related datasets:Pedestrian Counting System – Past Hour (counts per minute)Pedestrian Counting System - Sensor Locations

Data is included in the Guide to assist services with limited experience in working with refugee young people, and to support consistent and responsive services across Victoria. It was developed as a result of discussions amongst workers from public and community sector agencies who identified gaps in the provision of service delivery to refugee young people.

Contains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated by younger people (aged 15-24 years), as well as the remaining population (aged 0-14 years & aged 25 years and over).

This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

I have been a fan of Paradox Interactive's Victoria 2 for a while now. This dataset is based off my most recent campaign playing as the small nation of Biafra in Western Africa. Using a software I found on the web, I was able to extract much of the data however, I really wish I were able to get more data. That game has loads of interesting data trapped in it. Hopefully, in the nearest future, a software can be built to help me get that done.

The data, I think, is fairly comprehensive. It maps out a 38 year period between 1993 and 2030, tracking each countries gdp, GDP per Capita, unemployment rate e.t.c.

Note: Keen observers will notice that 4 of the largest economies in the world seem to nose dive around the year 2023-2024. This is because, within the game, India nukes The United States, France, and Great Britain in a great war. All three countries retaliate with their own nukes, thereby reducing all 4 countries to economic obscurity within a matter of 5 years. It was indeed a scary thing to watch. Nearly 700 million people lost their lives due to the fallout.

Edit: You will find a lot of zero's in the gdp data. This is not because those countries gdp were actually 0. For the vast majority of countries with 0 as their GDP, they simply did not exist officially that year. For instance Ambazonia has many years of 0 GDP data. This is because Ambazonia did not exist as a country all those years. Also, within the game there was never any country with a population of 0. Therefore, any country with a population of 0 in our dataset did not exist.

The Census 2021 Usual Residents Population Density for SA2 data.sourced from: https://www.abs.gov.au/statistics/people/people-and-communities/socio-economic-indexes-areas-seifa-australia/latest-release

The Victorian Integrated Survey of Travel and Activity is a major data collection exercise conducted by DTP to understand all aspects of day-to-day travel by Victorians. VISTA is a rich dataset that investigates travel and activities people undertake as they go about their lives and informs policy, project and planning decisions made across the Victorian transport portfolio. Since 2012, more than 32,000 households have contributed to the ongoing survey. Data collection is spread evenly across each year, allowing average daily travel behaviours to be described. See the VISTA website for more details about this survey. Detailed findings are available via an interactive data visualisation tool that allows users to explore the data further.

Abstract

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

This dataset shows the Australian Bureau of Statistics (ABS) Mesh Blocks across Victoria, with the 2011 census population and housing counts attached as attributes. It was derived by the Bioregional Assessment Programme from the ABS Mesh Block Population Counts Aus 2011 dataset, and the ABS Boundaries 2011 dataset. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Dataset History

The ABS 2011 Mesh Block Population Count spreadsheet (https://data.bioregionalassessments.gov.au/datastore/dataset/ee39fa76-db4e-412a-af0a-115d965b5813) was joined to the Victorian ABS Mesh Block boundaries (https://data.bioregionalassessments.gov.au/datastore/dataset/8b65c3a4-7010-4a79-8eaa-5621b750347f) using the unique MB_CODE11 field within ESRI ArcMap 10.2.

Two additional fields were added to show Mesh Block Area (km2) and Population Density (people/km2). These field values were calculated within ESRI ArcMap 10.2 using the Field Calculator tool.

Dataset Citation

Bioregional Assessment Programme (2014) Victorian ABS Mesh Block Population 2011. Bioregional Assessment Derived Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/b27fdf82-dd1e-4841-a228-21f671a95368.

Dataset Ancestors

• Derived From ABS Mesh Block Population Counts Aus 2011

• Derived From ABS Boundaries 2011

The dataset "aus_real_estate.csv" encapsulates comprehensive real estate information pertaining to Australia, showcasing diverse attributes essential for property assessment and market analysis. This dataset, comprising 5000 entries across 10 distinct columns, offers a detailed portrayal of various residential properties in cities across Australia.

The dataset encompasses crucial factors influencing property valuation and purchase decisions. The 'Price' column represents the property's cost, spanning a range between $100,000 and $2,000,000. Attributes such as 'Bedrooms' and 'Bathrooms' highlight the accommodation specifics, varying from one to five bedrooms and one to three bathrooms, respectively. 'SqFt' denotes the square footage of the properties, varying between 800 and 4000 square feet, elucidating their size and spatial dimensions.

The 'City' column encompasses major Australian urban centers, including Sydney, Melbourne, Brisbane, Perth, and Adelaide, delineating the geographical distribution of the properties. 'State' further categorizes the locations into New South Wales (NSW), Victoria (VIC), Queensland (QLD), Western Australia (WA), and South Australia (SA).

The dataset encapsulates temporal information through the 'Year_Built' attribute, spanning from 1950 to 2023, providing insights into the age and vintage of the properties. Moreover, property types are delineated within the 'Type' column, encompassing variations such as 'Apartment,' 'House,' and 'Townhouse.' The binary 'Garage' column signifies the presence (1) or absence (0) of a garage, while 'Lot_Area' provides an understanding of the land area, ranging from 1000 to 10,000 square feet.

This dataset offers a comprehensive outlook into the Australian real estate landscape, facilitating multifaceted analyses encompassing property valuation, market trends, and regional preferences. Its diverse attributes make it a valuable resource for researchers, analysts, and stakeholders within the real estate domain, enabling robust investigations and informed decision-making processes regarding property investments and market dynamics in Australia.

An intensive support service for young people transitioning from residential out-of-home care who are not engaged in education, training or employment has been established in Victoria. The Springboard program assists young people aged 16 to 21 on Victorian Custody or Guardianship orders who are in residential out-of-home care, or who have recently left care. Springboard is provided by community-based organisations that have specialist skills supporting young people with education, training and/or employment.

Contains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated based on residents living in buildings with four or more storeys.

This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

Secondary completion rate as calculated by dividing the number of people who stated their highest year of school completed as year 12 by the number of people who stated their highest hear of school completed. Data provided by ABS. http://stat.data.abs.gov.au/Index.aspx?DataSetCode=ABS_C16_T12_TS_LGA

Current issue 23/09/2020 Please note: Sensors 67, 68 and 69 are showing duplicate records. We are currently working on a fix to resolve this.

This dataset contains minute by minute directional pedestrian counts for the last hour from pedestrian sensor devices located across the city. The data is updated every 15 minutes and can be used to determine variations in pedestrian activity throughout the day. The sensor_id column can be used to merge the data with the Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting historical pedestrian counting data. Note this dataset may not contain a reading for every sensor for every minute as sensor devices only create a record when one or more pedestrians have passed underneath the sensor. The Pedestrian Counting System helps us to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation. Related datasets: Pedestrian Counting System – 2009 to Present (counts per hour).Pedestrian Counting System - Sensor Locations

Daily average patronage each month for metropolitan and regional train, metropolitan and regional bus and tram services in Victoria for day types: normal weekday, school holiday weekday and weekend (public holidays are excluded) and for days of week: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday and Sunday. Patronage is a count of patron boarding onto services with the exclusion of train transfers. Patrons includes all persons 5 and over, excluding drivers and station staff. Data Currency This information will be updated on a monthly basis but with a 2 month lag in order to provide a comprehensive view of patronage during that time period. Data Quality 1) Patronage estimates are rounded to nearest 50 and values less than 50 are rounded up to 50. 2) Patronage data is derived from myki ticketing data. As ticketing data provides an incomplete picture of the number of people using public transport, DTP also conducts a patronage survey to supplement myki data. The purpose of the patronage survey is to determine the transaction rate, which is the percentage of passengers who ‘touch-on’ when they travel. Ticketing transactions are boosted according to the transaction rate to provide an estimate of total patronage. 3) As of January 2021, metropolitan train patronage uses barrier count data, where available, in place of survey observations to determine the transaction rate. 4) Metropolitan train patronage does not include train transfers. Patrons includes all persons 5 and over, excluding drivers and station staff. 5) From 2021 onwards, patronage data for regional trains include non-myki patronage (e.g. paper ticket counts). Prior to this, patronage does not include non-myki patronage. 6) Patronage data for regional bus does not include patronage estimates for services that are not-myki enabled.

Planned Disruptions – RoadTry it This dataset contains the locations and details of planned disruptions in near real-time on roads managed by the Victorian Department of Transport and Planning (DTP). The data includes (where available) the location of the disruption, road name, type of works being undertaken, which travel direction it affects, what time of the day works will be undertaken, how many lanes may be affected, how long the delay may be and other supporting information.In accordance with the Road Management Act, the DTP is the coordinating road authority for all the arterial roads and freeways that are not privately owned in Victoria. For any works on, or that may affect, the road network, the DTP must manage the disruption in order to protect the community and help people continue on their journey.The dataset is assessed to be of a very good quality. The data is captured in a consistent and timely manner by the Permits Team in the DTP. The data is validated prior to release and maintained over time as new information is received.

The Principal Bicycle Network (PBN) is a network of proposed and existing cycle routes that help people cycle for transport, and provide access to major destinations in Victoria The Principal Bicycle Network (PBN) is a network of proposed and existing cycle routes that help people cycle for transport, and provide access to major destinations in Victoria. Cycling for transport includes riding bicycles to work, to school, shopping, visiting friends etc. The PBN is also a 'bicycle infastructure planning tool' to guide State investment in the development of transport bicycle network. The PBN is one of a number of network planning tools. (other examples include individual Council networks) Together these networks make up the developing cycle infrastructure of Victoria. The PBN makes use of many local roads and off-road paths, as well as State arterial roads. New bicycle facilities on the PBN are designed with the principle of increasing separation between cyclists and motorists, and giving priority to cyclists at key intersections.

A dataset of enrolments (FTE) of all schools in Victoria, based on collections from the February 2022 schools census, including Government and non-Government Schools (Catholic and Independent schools). Information collected from the February school census of Victorian schools: For each school, Full Time Equivalent (FTE) enrolments by school type and year level are included. A student who is full-time to school education will be counted as 1.0 FTE. This includes a student who may be shared across two schools (e.g. 0.8 FTE at one school and 0.2 FTE at another school). Students who are part-time to school education will be counted based on the workload for which they have enrolled. In primary year levels, the workload is generally based on the time they attend school while the number of subjects is used for students in secondary year levels. For this 2022 census year data, the students' sex/gender category is not included for the following reasons: • The gender of 'self-described' was implemented at the beginning of 2022 for Victorian government schools. Enrolments with this gender value are collected in the 2022 February School Census results but this value is currently under-represented. • Due to the small numbers of enrolments with the 'self-described' gender, there is the potential for individuals to be identifiable at the school and year level. • The 'self-described' counts are in their infancy and will likely increase over time but at this stage the department deems to risk of possible identification as too high for publication.

The Victorian Cerebral Palsy Register collects information on people with cerebral palsy, born or living in the Australian state of Victoria since 1970. The Register was founded by Professor Dinah Reddihough in 1987 and is now one of the largest geographically-defined cerebral palsy registers in the world, holding information on over 5200 individuals with cerebral palsy. Information collected on individuals includes demographic information, birth details, known or apparent causes, type and severity of the cerebral palsy and any associated impairments.

The City of Melbourne provides visitor programs such as city tours, town hall tours, cruise ship and visitor shuttle trips and face to face visitor contact points including the visitor centre, visitor booth and the city ambassador program. This dataset tracks the number of people who participate in visitor programs and the number of visitors our customer relations officers assist every month.

Melbourne Visitor Shuttle ceased as of September 2017
The Melbourne Visitor Centre closed on Sunday 19th of August 2018
The Melbourne Visitor Hub at Town Hall opened on Monday 20th of August 2018
The Visitor Hub at Queen Victoria Market opened in late November