AndreaBozzo/ceres-open-data-index huggingface dataset:
AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Persons Incidence (PHN) 2006-2010

This dataset presents the footprint of cancer incidence statistics in Australia for all cancers combined and the 6 top cancer groupings (colorectal, leukaemia, lung, lymphoma, melanoma of the skin and pancreas) and their respective ICD-10 codes. The data spans the years 2006-2010 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
Incidence data refer to the number of new cases of cancer diagnosed in a given time period. It does not refer to the number of people newly diagnosed (because one person can be diagnosed with more than one cancer in a year). Cancer incidence data come from the Australian Institute of Health and Welfare (AIHW) 2012 Australian Cancer Database (ACD).
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - Cancer Incidence and Mortality Across Regions (CIMAR) books.


Australian Cancer Database 2012 Data Quality Statement.


Please note:


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


Due to changes in geographic classifications over time, long-term trends are not available.


Values assigned to "n.p." in the original data have been removed from the data.


The Australian and jurisdictional totals include people who could not be assigned a PHN. The number of people who could not be assigned a PHN is less than 1% of the total.


The Australian total also includes residents of Other Territories (Cocos (Keeling) Islands, Christmas Island and Jervis Bay Territory).


The ACD records all primary cancers except for basal and squamous cell carcinomas of the skin (BCCs and SCCs). These cancers are not notifiable diseases and are not collected by the state and territory cancer registries.


The diseases coded to ICD-10 codes D45-D46, D47.1 and D47.3-D47.5, which cover most of the myelodysplastic and myeloproliferative cancers, were not considered cancer at the time the ICD-10 was first published and were not routinely registered by all Australian cancer registries. The ACD contains all cases of these cancers which were diagnosed from 1982 onwards and which have been registered but the collection is not considered complete until 2003 onwards.


Note that the incidence data presented are for 2006-2010 because 2011 and 2012 data for NSW and ACT were not able to be provided for the 2012 ACD.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
LGA11-based B26 Total Family Income (Weekly) by Family Composition as at 2011-08-11

LGA11 based data for Family Income by Family Composition, for 2011 Census. Count of families in family households on Census night based on place of usual residence. Includes same-sex couple families. Excludes 'Lone person', 'Group', 'Visitors only' and 'Other non-classifiable' households. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-P41c Industry of Employment by Age by Sex-Census 2016

SA4 based data for Industry of Employment by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P41 is broken up into four sections (P41a - P41d), this section contains 'Females Inadequately described Not stated Age 15-19 years' - 'Persons Arts and recreation services 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, employment, industry, p41c, pep, place of enumeration profile, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (CD) 2006

This data is Census Collection Districts (CD) based Socio-Economic Indexes for Areas (SEIFA) Index of Economic Resources (IER) - This index includes variables that are associated with economic resources. Variables include rent paid, income by family type, mortgage payments, and rental properties, based on the 2006 census. The data follows the 2006 Australian Standard Geographical Classification (ASGC) boundaries.
The Australian Bureau of Statistics (ABS) has developed indexes to allow ranking of regions/areas, providing a method of determining the level of social and economic wellbeing in that region. There are four indexes included in the SEIFA 2006 product. They relate to socio-economic aspects of geographic areas. Each index summarises a different aspect of the socio-economic conditions in an area. The indexes have been obtained by a technique called principal components analysis. This technique summarises the information from a variety of social and economic variables, calculating weights that will give the best summary for the underlying variables. For the SEIFA indexes, each index uses a different set of underlying variables.
All the indexes (including the Index of Relative Socio-Economic Disadvantage) have been constructed so that relatively disadvantaged areas (e.g. areas with many low income earners) have low index values.
This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. 
For more information on this data please visit the Australian Bureau of Statistics.Please note: 

AURIN has spatially enabled the original data following the 2006 ASGC.


Tags: seifa
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Regional Internal Migration Estimates (SA2) 2007-2016

This dataset presents the estimates of the internal migration statistics of Australia by Statistical Areas Level 2 (SA2) following the 2011 Australian Statistical Geography Standard (ASGS). The dataset spans from the 2006-07 financial year up to the 2015-16 financial year.
Regional internal migration is the movement of people from one region to another within Australia (both interstate and intrastate). For example, it incorporates moves from a Statistical Area Level 2 (SA2) to any other SA2 within the country. Net regional internal migration is the net gain or loss of population through this movement.
The ABS has developed a new series of annual regional internal migration estimates (RIME) based on the 2011 edition of the Australian Statistical Geography Standard (ASGS). The Medicare and Defence data used for estimating interstate migration is now also used to estimate internal migration below the state/territory level. However, as Medicare and Defence change of address counts are supplied to the ABS by postcode a method was developed to convert these counts to SA2, the base spatial unit of the ASGS. The method used correspondences to convert to SA2, and adjustments were applied to account for known deficiencies in the Medicare and Defence data. A similar method was used to prepare RIME at the LGA level, based on 2011 boundaries.
This data is Australian Bureau of Statistics (ABS) data (catalogue number: 3412.0) used with permission from the ABS.
For more information please visit the ABS Explanatory Notes.
Please note: RIME are not directly comparable with estimated resident populations (ERPs) because of the different methods and source data used to prepare each series. The combination of natural increase and net migration (internal and overseas) therefore may not correspond with change in ERP. AURIN has spatially enabled the original data.

Tags: Demography, HUMAN SOCIETY, Migration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-P23a Relationship in Household by Age by Sex-Census 2016

LGA based data for Relationship in Household by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons in occupied private dwellings categorised by the relationship of each person in a family to the family reference person or, where a person is not part of a family, that person's relationship to the household reference person. Excludes persons in 'Other non-classifiable' households.  Includes same sex couples. P23 is broken up into 2 sections (P23a - P23b), this section contains 'Males Husband in a registered marriage Age  15-24 years' - 'Females Other related individual 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, age, census, composition, household, p23a, pep, place of enumeration profile, relationship, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G51b Industry of Employment by Age by Sex-Census 2016

SA4 based data for Industry of Employment by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G51 is broken up into four sections (G51a-G51d) this section contains 'Males Total Age 15-19 years' - 'Females Other services 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, employment, g51b, gcp, general community profile, industry, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G09a Country of Birth by Age by Sex-Census 2016

SA1 based data for Country of Birth of Person by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G09 is broken up into 8 sections (G09a - G09h), this section contains 'Males Afghanistan Age 0-4 years' - 'Males Iraq Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. The data is by SA1 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, birthplace, census, country of birth, g09a, gcp, general community profile, sa1, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-P16a Highest Year of School Completed by Age by Sex-Census 2016

SA4 based data for Highest Year of School Completed by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. P16 is broken up into 2 sections (P16a - P16b), this section contains 'Males Year 12 or equivalent Age 15-19 years' - 'Persons Year 9 or equivalent 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, education, highest year of schooling, p16a, pep, place of enumeration profile, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B04 Aboriginality By Sex (SLA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to Aboriginality by sex. Counts are of all persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.

Tags: 1991, aboriginal, b04, basic community profile, bcp, census, indigenous, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W22d Method of Travel to Work by Age by Sex-Census 2016

GCCSA 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 One method Tram includes light rail 15-24 years' - 'Persons Two methods Total two methods 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, transport, travel method, w22d, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Geoscape - Adelaide Roads (Polyline) June 2022

This dataset is the June 2022 release of Geoscape Roads for a single SA2 area (Adelaide) with SA2 code (41001).
Roads is a digital representation of roads for Australia. This dataset provides an optimised aggregated national view of road geometry and attribution. The dataset is created from multiple sources including jurisdictional data which is revised regularly and supplied in varying formats and at different levels of quality.
For more information regarding Geoscape Roads, please refer to the Data Product Description and the June 2022 Release Notes.
Please note: As per the licence for this data, the coverage area is limited to a single Level 2 Statistical Area (SA2) mentioned above as defined by the Australian Bureau of Statistics. If you require additional data beyond a single SA2 for your research, please request a quote from AURIN.
The purpose of Roads is to provide a single national digital representation of Australian roads with detailed attribution to enable clients to undertake activities including visualisation, analysis and logistics planning at both a national and local scale. This dataset has been restricted to the Adelaide SA2 by AURIN.

Tags: BUILT ENVIRONMENT AND DESIGN, Building
Organization: Geoscape
SA2-W19d Occupation by Total Personal Income (weekly) for Students Aged 15-24 Years-Census 2016

SA2 based data for Occupation by Total Personal Income (Weekly) for Students Aged 15-24 Years, in Working Population Profile (WPP), 2016 Census. Count of employed students aged 15-24 years. W19 is broken up into 4 sections (W19a - W19d), this section contains 'Total $2000-$2999 Managers' - 'Total 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, census, income, occupation, personal income, students, w19d, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W22e Method of Travel to Work by Age by Sex-Census 2016

GCCSA 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 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, transport, travel method, w22e, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-T01 Selected Person Characteristics-Census 1996

LGA based data for Selected Person Characteristics, in Time Series Profile, 1996 Census. Count of all persons in 1986, 1991 and 1996 census years. The data is by LGA 1996 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2901.0) used with permission from the Australian Bureau of Statistics. 
For more information visit  the ABS .

Tags: 1996, census, characteristics, personal characteristics, t01, time series profile, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA15 Access to Services - 2014

Modelled estimates of access to services, financial and transport barriers, 2014. These barriers include: Estimated number of people aged 18 years and over who often have a difficulty or cannot get to places needed with transport, including housebound, estimated number of people aged 18 years and over who experienced a barrier to accessing healthcare when needed it in the last 12 months, with main reason being cost of service (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). Information by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au//help-and-information/. 
Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS; estimates at the LGA and PHN level were derived from the PHA estimates.

Tags: access, barriers, financial, lga profile 2015, phidu, public health information development unit, services, torrens university australia, transport, tua
Organization: Torrens University Australia - Public Health Information Development Unit
SA2-G33 Tenure and Landlord Type by Dwelling Structure-Census 2016

SA2 based data for Tenure and Landlord Type by Dwelling Structure in General Community Profile (GCP), 2016 Census. Count of all occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. Records the structure of private dwellings, describes whether a dwelling is owned, being purchased or rented, and Records the landlord type of rented dwellings. 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, census, dwelling structure, g33, gcp, general community profile, landlord type, sa2, tenure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-P22a Unpaid Child Care by Age by Sex-Census 2016

GCCSA based data for Unpaid Child Care by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who in the two weeks prior to Census night, spent time caring for a child/children (under 15 years) without pay. P22 is broken up into 2 sections (P22a - P22b), this section contains 'Females 15-19 years Cared for Other child/children only' - 'Persons 45-54 years 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, age, census, child care, p22a, pep, place of enumeration profile, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G20a Number of hours of Unpaid Domestic Work by Age by Sex-Census 2016

SA4 based data for Unpaid Domestic Work: Number of Hours by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. It includes work that the person did without pay, in their own home and in other places, for themselves, their family and other people in the household, in the week prior to Census night. G20 is broken up into 2 sections (G20a - G20b), this section contains 'Males 15-19 years Did unpaid domestic work Less than 5 hours' - 'Persons 85 years and over Did unpaid domestic work 30 hours or more'.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, domestic work, g20a, gcp, general community profile, hours, household work, sa4, sex, unpaid work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Admissions - Principal Diagnosis: Females  (PHA) 2014-2015

This dataset, released December 2017, contains data relating to female hospital admissions during 2014-2015 by principal diagnosis of: Parasitic disease, cancer, Blood-organ disease, metabolic disease, nervous system disease, eye disease, ear disease, circulatory system disease, respiratory system disease, digestive system disease, skin disease, musculoskeletal disease, genitourinary system disease, perinatal condition, congenital deformations, pregnancies and external causes. 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 using data from the Australian Institute of Health and Welfare, supplied on behalf of Stateand Territory health departments for 2014/15; and the average of the ABS Estimated Resident Population, 30 June 2014and 2015.
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