AndreaBozzo/ceres-open-data-index huggingface dataset:
LGA-W22e Method of Travel to Work by Age by Sex-Census 2016

LGA based data for Method of Travel to Work by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W22 is broken up into 5 sections (W22a - W22e), this section contains 'Persons Three methods Train and two other methods 15-24 years' - 'Persons Total Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, transport, travel method, w22e, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA Chronic Disease - Synthetic Prediction 2007-2008

Estimates (using synthetic predictions) of chronic diseases including: mood (affective) problems for males and females, osteoarthritis, osteoporosis and rheumatoid arthritis for 2007 to 2008 by LGA.

Tags: chronic disease, estimate, health, osteoarthritis, osteoporosis, rheumatoid arthritis, synthetic prediction
Organization: Torrens University Australia - Public Health Information Development Unit
AIHW - Specialist Homelessness Services Collection - Total Clients (SA2) 2014-2019

This dataset presents the total number of distinct specialist homeless services clients. The client counts are based on the location where the client resided in the week before their first support period in the financial year. Each client contributes only once, even if they had multiple support periods during the financial year. The data spans the financial years of 2014-15 to 2018-19 and is aggregated to 2016 Australian Statistical Geography Standard (ASGS) Statistical Area Level 2 (SA2).
The Specialist Homelessness Services Collection (SHSC) data accompanies the Specialist Homelessness Services Annual Report 2018-19.
For further information about this dataset, visit the Australian Institute of Health and Welfare - SHSC Data Cubes User Guide.
Notes:


Caution should be used when comparing data for 2017-18 onwards with data for 2014-15 to 2016-17 in sub-state data cubes. Data for 2011-12 to 2016-17 at the state, territory and national levels are weighted to account for agency non-response and invalid statistical linkage keys (SLK), and have been rounded to the nearest integer. Due to improvements in agency response and rates of SLK validity, data from 2017–18 are no longer weighted. The removal of weighting does not constitute a break in time series, and these data are directly comparable with weighted counts for earlier years. As the weighting method is not suitable for sub-state units, the data in the sub-state cubes are not weighted.


Clients are considered to be homeless if they are living in any of the following circumstances: No shelter or improvised dwelling, Short-term temporary accommodation, House, townhouse or flat (couch surfing or with no tenure).


Clients are considered to be at risk of homelessness if they are living in any of the following circumstances: Public or community housing (renter or rent free), Private or other housing (renter, rent-free or owner), Institutional settings.


AURIN has spatially enabled the original data.

Tags: Health, Homelessness, Housing
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA2-P11b Proficiency in Spoken Eng by Year of Arrival by Sex-Census 2016

SA2 based data for Proficiency in Spoken English by Year of Arrival in Australia by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons born overseas in the following categories of proficiency: Speaks English only, Multilingual speaks English well, Multilingual speaks English not well/at all, Multilingual English proficiency not stated, Total multilingual people, Language and English proficiency not stated, and Total persons.  Excludes persons born in 'Australia, (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec' and persons who did not state a country of birth. Where year of arrival is stated as 2016, it refers to the period from 1 January 2016 to 9 August 2016. P11 is broken up into 2 sections (P11a – P11b), this section contains 'Persons Speaks other language and speaks English Total Year of arrival 2006-2010’ - 'Persons Total Total’. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, arrival, census, english, language, p11b, pep, place of enumeration profile, proficiency, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VCGLR -  Liquor Licences by Location (Point) June 2018

Liquor license venue information from June 2018 (with Geo-coded location information). Note, this dataset describes active liquor licence data up to and including the last day of each month. Licences are in both metropolitan and regional Victoria, arranged by local government area, suburb and postcode.
For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website.
Please note:

AURIN has spatially enabled the original data. 


Tags: licence, liquor, population
Organization: Government of Victoria - Victorian Commission for Gambling and Liquor Regulation
NATSEM - Financial Indicators - Synthetic Estimates SA2 2016

This dataset presents the synthetically modeled indicators relating to the financials of the population of small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The synthetic indicators are produced by the spatial micro-simulation model (SpatialMSM). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM).
NATSEM’s spatial microsimulation model uses a technique that takes a survey and reweights it to small area Census data. SpatialMSM18 is the application of the NATSEM Spatial Microsimulation model using the Household, Income and Labour Dynamics in Australia (HILDA) dataset, the ABS Housing Expenditure Survey (for financial stress) and the 2016 Census of Population and Housing at the SA2 level (Tanton et al. 2011). All the indicators from the SpatialMSM model are synthetic, so there is some model error as well as other error from the survey. Therefore, they are not as accurate as the Census data used.
Data in this dataset comes from NATSEM's spatial microsimulation model. Estimates are for financial stress, trust and life satisfaction. A description of the model, and validation, can be found in the accompanying NATSEM Technical Report.
Please note: 


AURIN has spatially enabled the original data provided directly from NATSEM.


Where data values are NULL, the data is either unpublished or not applicable mathematically.


The treatment of Not Stated and Overseas Visitor data is to exclude them from both the numerator and the denominator.


Methodology between the 2016 NATSEM and 2011 OECD data release may have changed, please refer to the technical report for parity status and specific changes.



Tags: Australia, economic, financial, indicators, model, sa2, socio economic, synthetic
Organization: University of Canberra - National Centre for Social and Economic Modelling
AIHW - Health Risk Factors - Age Distribution of Adults by 10 Year Age Groups (PHN) July 2014

This dataset presents the footprint of the age distribution of adults by 10 year age groups. The data is a snapshot at 30 July 2014 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The age distribution by PHN has been provided for reference for the accompanying Australian Institute of Health and Welfare (AIHW) - Health Risk Factors datasets. The data has been sourced from the Australian Bureau of Statistics (ABS) Estimated Resident Population (ERP) at 30 June 2014.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables.
Please note:


AURIN has spatially enabled the original data using the Department of Health - PHN Areas.


Adults are defined as persons aged 18 years and over.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA3 Estimates of Personal Income - Investment Income 2010-2015

This dataset presents aggregated values of Investment Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Statistical Area Level 3 (SA3) boundaries.
This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release:


Employee Income


Own Unincorporated Business Income


Investment Income


Superannuation Income


Other Income (Income not allocatable to any other categories)


Total Income (Sum of previous categories)
These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS):  Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA).


For more information on the release please visit the Australian Bureau of Statistics.
Please note:


When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS.


To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released.


Where data is not available or not for publication, the record has been set to a null value.



Tags: ABS, ATO, Australia, aus, economy, finance, income, personal
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-G11b Proficiency in Spoken Eng by Year of Arrival by Age-Census 2016

SA2 based data for Proficiency in Spoken English by Year of Arrival in Australia by Age, in General Community Profile (GCP), 2016 Census. Count of persons born overseas. G11 is broken up into 4 sections (G11a - G11d), this section contains '25-34 years Speaks other language and speaks English Total Arrived 2006-2010' - '55-64 years Speaks other language and speaks English Very well or well Arrived 2011'. Excludes persons born in 'Australia, (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec' and persons who did not state a country of birth. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, arrival year, census, english proficiency, g11b, gcp, general community profile, overseas, sa2
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DSS - Quarterly Payment Recipients (SA2) June 2016

This dataset presents counts of payment recipients by payment type for the quarter ending June 2016. The data is based on the recipient's geocoded address aggregated by Statistical Area Level 2 (SA2) from the Australian Statistical Geography Standard (ASGS) 2011.
The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.
For more information on this dataset please visit the Australian Government Open Data.
For further details on payments, see 'A guide to Australian Government payments'.
Please note:


In order to protect individuals' privacy, identified populations between 1 and 19 have been suppressed and replaced with '&lt;20' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 20.


Caveats specific to payments type can be found in the relevant payment description of the original data.


AURIN has spatialised this dataset and have made the following replacements to enforce data type consistency: 


'&lt;20' has been assigned a value of '-1' within the data


A boolean field has been created for each data field to flag left-censored data. 'True' is assigned to fields that have been censored.


'n.p.' (not provided) has been set to Null within the data.



Tags: Demographics, Services, Social Services, Socio-economics
Organization: Australian Government - Department of Social Services
Geoscience Australia - NEXIS - Residential Building Exposure (LGA) 2016

This dataset presents information about residential building exposure in Australia from the 7th version of the National Exposure Information System (NEXIS), a modelling capability designed by Geoscience Australian (GA) to provide comprehensive and nationally consistent exposure information. This enabled users to better understand the potential elements at risk in Australia.
This data is aggregated by the Australian Bureau of Statistics (ABS) Local Government Area (LGA) 2015 boundaries.
For more information please visit the Geoscience Australia Product catalogue or the Nexis Building Exposure Metadata Document.
AURIN has spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) LGA 2015 dataset.

Tags: HUMAN SOCIETY, Human geography
Organization: Government of the Commonwealth of Australia - Geoscience Australia
CER - Small-scale Installations - Small Generation Unit - Solar Panel (POA) 2006

This dataset presents the footprint of the number of installations of small generation unit (SGU) solar panel systems and their rated output in kilowatts (kW). The data spans the months of 2006 and includes the total for the year. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of SGU (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and solar water heaters (SWH) and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


AURIN has spatially enabled the original data by joining the data with the 2016 ASGS POAs


The data is current as at 30-09-2018.


Renewable Energy Target (RET) legislation allows a 12 month creation period for registered persons to create their certificates.


Small-scale technology certificates are calculated based on the life of the system. This differs for solar hot water heaters and small generation units (solar panels, wind and hydro). Further information can be found at theRenewable Energy Target FAQ.


Capacity data has been revised to account for past data entry errors which caused significant inconsistencies. These systems were installed between 2001 and 2003. As a result of this revision, the cumulative installed capacity from 2004 onwards has reduced by 5.517MW.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
PHIDU - Housing and Transport (PHA) 2016

This dataset, released December 2017, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2016; Dwellings rented from the government housing authority, 2016; Dwellings rented by households from a housing co-operative, community or church group, June 2016; Low income households with mortgage stress, 2016; Low income households with rental stress, 2016; Low income households under financial stress from mortgage or rent, 2016; Low income households, 2016; Housing suitability, 2016; Private dwellings with no motor vehicle, 2016. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016; the Department of Human Services, June 2016; and the ABS Census: Dwellings, 2011.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
ABS - Data by Region - Aboriginal and Torres Strait Islander Peoples (SA3) 2011-2016

This dataset presents data on Aboriginal and Torres Straight Islander Peoples available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2016 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 3 (SA3) 2016 boundaries. The dataset includes information the topics of demographics, language, culture, education and health.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:


Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA3 2016 dataset.


Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.


Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.


Columns and rows that did not contain any values in the original data have been removed.



Tags: Demographics, Population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-P43a Occupation by Age by Sex-Census 2016

SA3 based data for Occupation by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P43 is broken up into two sections (P43a and P43b), this section contains 'Males 15-19 years Occupation Managers' - 'Females Total Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, employment, occupation, p43a, pep, place of enumeration profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W11c Industry of Employment by Hours Worked by Sex-Census 2016

GCCSA based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over.  Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Females Inadequately described Not stated Number of hours worked None' - 'Persons Arts and recreation services Number of hours worked Total'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, employment, industry, industry of employment, w11c, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G17a Total Personal Weekly Income by Age by Sex-Census 2016

SA4 based data for Total Personal Income (Weekly) by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. G17 is broken up into 3 sections (G17a - G17c), this section contains 'Males Negative Nil income Age 15-19 years' - 'Females $300-$399 Total'.The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, g17a, gcp, general community profile, income, personal income, sa4, sex, weekly
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics