AndreaBozzo/ceres-open-data-index huggingface dataset:
LGA-W24b Labour Force Status by Core Activity Need for Assistance by Age-Census 2016

LGA based data for Labour Force Status by Core Activity Need for Assistance by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. A person's need for help or assistance in one or more of the three core activity areas of self-care, mobility and communication, because of a disability, long term health condition (lasting six months or more) or old age. W24 is broken up into 2 sections (W24a - W24b), this section contains 'Need for assistance not stated 75 years and over Employed Worked Full-time' - 'Total 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, assistance, census, disability, labour force, w24b, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W18d Occupation by Total Personal Income (weekly) by Non-School Qualification: Level of Education-Census 2016

LGA based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification: Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). W18 is broken up into 5 sections (W18a - W18e), this section contains 'Certificate I and II level $2000-$2999 Managers' - 'Level of education inadequately described Not stated 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, education, income, occupation, personal income, qualification, w18d, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Age Distribution - Broad Age Groups: Males (LGA) 2019

This dataset, released September 2020, contains male usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 2019. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on ABS 3235.0 Population by Age and Sex, Regions of Australia, 30 June 2019. 
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: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-W02b Status in Employment by Age by Sex-Census 2016

SA3 based data for Status in Employment by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W02 is broken up into 2 sections (W02a - W02b), this section contains 'Persons 40-44 years Owner managers of unincorporated enterprises' - 'Persons 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, census, employment, employment status, w02b, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - E29 Family Type By Number Of Dependent Offspring (Usually Resident) By Annual Parental Income (SLA) 1991

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to family type by number of dependent offspring (usually resident) by annual parental income. Counts are of families with offspring, 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.
Please note:


(a) A maximum of 3 temporarily absent dependent offspring can be counted in each household.


(b) Comprises two parent families where a parent present did not state their income or a parent was temporarily absent


(c) Comprises cases where in a two parent family, both parents did not state their income or were temporarily absent; or in a one parent family, the parent did not state his/her income or was temporarily absent.



Tags: 1991, census, community, e29, ecp, expanded, family, income, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 24.2: Proportion of Children with High Levels of Family Stress (LGA) 2009-2013

This dataset presents indicator 24.2: Proportion of children at school entry whose parents report high levels of family stress in the past month. The data covers the years of  2009-2013 and is aggregated by Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). This dataset is part of the Victorian Department of Education and Training's Victorian Child and Adolescent Monitoring System (VCAMS) data release. This dataset is sourced from the School Entrant Health Questionnaire (SEHQ).
The VCAMS Framework comprises 150 indicators as agreed by the Children's Service Coordination Board. It incorporates 35 outcomes that relate to aspects of children's health, development, safety, learning and well-being in four categories - the child, families, community, and supports and services.
For more information, please visit VCAMS Indicators.
Please note: 


AURIN has spatially enabled the original data.


Where data values were "NDP" (no data provided) in the original data they have been set to null.



Tags: VIC, Victoria, children, development, education, health, polygon, safety, youth
Organization: Government of Victoria - Department of Education and Training
PHIDU - Emergency Department Presentations (PHN) 2012-2013

This dataset, released May 2016, contains Emergency department presentations, 2012/13. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
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 ofState and Territory health departments for 2012/13; and the average of the ABS Estimated Resident Population, 30June 2012 and 2013.
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
LGA-W22c 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 'Females Two methods Train and Ferry 15-24 years' - 'Persons One method Ferry 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, w22c, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Immunisation Rates for Children - Children Fully Immunised (SA3) 2011-2017

This dataset presents the footprint of the number and rates of children aged 1, 2 and 5 who were fully immunised. Fully immunised means a child has received the scheduled vaccinations according to age for hepatitis B (hepB); diphtheria, tetanus and whooping cough (DTPa); Haemophilus influenzae type b (Hib); polio (IPV); pneumococcal, meningococcal C, measles, mumps and rubella (MMR), and varicella. The data spans the years of 2011-2017 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
The data was sourced from the Australian Immunisation Register (AIR), which is administered by the Australian Government Department of Human Services. The AIR is a national register that records immunisations given to children to help parents and guardians keep track of their children’s immunisations.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Immunisation rates for children in 2016-17 Data Tables.
Please note:


AURIN has spatially enabled the original data.


The AIR may underestimate coverage due to incomplete submission of immunisation records or the inclusion of children who no longer reside in an area but have not been updated on the register.


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


Rows assigned a "#" in the "Interpret with Caution" column should be interpreted with caution as these area’s eligible population is between 26 and 100 registered children.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
VIC DELWP - Victoria in Future 2016 - Number of Households by Household Type (VIFSA) 2011-2031

This dataset is the 2016 release of the Victoria in Future series of data and presents the number of households by household types for the state of Victoria. The data is presented in 2015 Victoria in Future Small Area (VIFSA) boundaries and covers each fifth year for the years 2011 to 2031.
The Victoria in Future series is a projection of the ERP for Local Government Areas (LGA) and VIFSAs for 2011 to 2031. Some data areas are available for individual years and some for every fifth year in the projection period. The first year for each dataset in the series is 2011. Where available, the latest Australian Bureau of Statistics (ABS) data is used for the years 2012 to 2015.
Data are available for Estimated Resident Population (ERP - the official total population), population by age and sex (for single years of age in some cases, otherwise for five-year age groups), households and dwellings (including average household sizes and dwelling occupancy rates).
VIFSAs are:


smaller than LGAs and fit entirely within them


large enough to avoid the uncertainty attached to some projections at SA2 level


as far as possible distinct from ABS classification, so as to avoid confusion and misinterpretations.


Victoria in Future 2016 population projections are not predictions of the future, nor are they targets. They analyse changing economic and social structures and other drivers of demographic trends to indicate possible future populations if the present identified demographic and social trends continue. Projections are based exclusively on demographic components at the state and regional level, while local level projections take account of current and future land use, dwelling capacity, and development opportunities in addition to local demographic factors.
For more information please visit the DELWP VIF Portal.
Notes: 


AURIN has spatially enabled the original data.


These detailed projections replace the projections published in Victoria in Future 2015 (based on the 2011 Census) issued by the Department of Transport, Planning and Local Infrastructure (DTPLI).


The base year for the calculation of VIF2016 projections is 2015 (as at 30 June), the most recent year for which the ABS has published the Estimated Resident Population (ERP) for both Victoria and for LGAs.


The data tables have been condensed to one dataset to allow longitudinal analysis of the data through year-period filters.



Tags: population
Organization: Government of Victoria - Department of Environment Land Water and Planning
City of Melbourne CLUE Cafes, Restaurants and Bistros Seats (Points) 2012

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data presents business establishments with their trading name, industry (ANZSIC4) classification, number of dining seats (classified by indoor/outdoor), location and CLUE block and small area designation. as points which represent a single business. The data covers the year period of 2012.
For more information please visit the City of Melbourne CLUE Portal.
Please note: 


AURIN has acquired the data through the City of Melbourne Open Data Portal.


The individual yearly tables have been extracted from the archived 2002-2017 tables.


The data in this table is a snapshot and not live.



Tags: 2012, capacity, census, clue, hospitality, land, melbourne, seats, use
Organization: Local Government of Victoria - City of Melbourne
AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Persons Incidence (SA3) 2006-2010

This dataset presents the footprint of cancer incidence statistics in Australia for all cancers combined and the 5 top cancer groupings (breast - female only, colorectal, lung, melanoma of the skin and prostate) and their respective ICD-10 codes. The data spans the years 2006-2010 and is aggregated to Statistical Area Level 3 (SA3) from 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.


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 SA3. The number of people who could not be assigned a SA3 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
SA3-P42a Industry of Employment by Occupation-Census 2016

SA3 based data for Industry of Employment by Occupation, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P42 is broken up into two sections (P42a - P42b), this section contains 'Agriculture forestry and fishing Occupation Managers' - 'Inadequately described Not stated 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, census, employment, industry, occupation, p42a, pep, place of enumeration profile, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DSDBI - Industry Atlas - Businesses by Employment Size and Industry (SA2) 2011

This dataset provides information about employment size by industry sector for 2011 in Victoria. The data is aggregated to Statistical Area Level 2 (SA2) 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.

Organization: Government of Victoria - Department of State Development Business and Innovation
PHIDU - Potentially Preventable Admissions - Chronic Conditions  (LGA) 2016-2017

This dataset, released November 2018, contains data on the number of Potentially preventable hospitalisations - Chronic conditions, 2016/17. The data is by Local Government Area (LGA) 2016 geographic boundaries.
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 2016/17; and the ABS Estimated Resident Population, 30 June 2016.
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
SA1-G16a Highest Year of School Completed by Age by Sex-Census 2016

SA1 based data for Highest Year of School Completed by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. G16 is broken up into 2 sections (G16a - G16b), this section contains 'Males Year 12 or equivalent Age 15-19 years' - 'Persons Year 9 or equivalent Total'. 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, census, education, g16a, gcp, general community profile, highest year of schooling, sa1, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-based B38 Place of Usual Residence 1 Year Ago by Sex as at 2011-08-11

SA3 based data for Place Of Usual Residence 1 Year Ago By Sex, for 2011 Census. Count of persons aged 1 year and over and dwellings on Census night based on place of usual residence. 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
SLA11 Access to Services, Financial and Transport Barriers 2010

Modelled estimates of access to services, financial and transport barriers. These barriers include: delaying medical consultation or prescribed medication because they could not afford it, difficulty or can not get to places needed with transport, difficulty accessing services, and accessing the internet at home. Information by SLA 2011 for the year 2010.

Tags: finance, internet, medical, medicine, prescription, services, transport
Organization: Torrens University Australia - Public Health Information Development Unit
Geoscience Australia - National Foreign Embassies 2015

This dataset presents the location of foreign embassies in Australia. The consular missions dataset was digitized in 2012 from the library of imagery held within Geoscience Australia (GA). Image resolution ranged from 0.15m to 2.5m. The first version of the database presented a combination of known consulates, embassies and high commission located within mainland Australia. It was released on the GA Website in December 2012. In March 2015, the consular mission’s dataset was reviewed by GA. Consulates were to be removed from this dataset and were to be presented in a separate database. In May 2015, the foreign embassies dataset was validated against the latest information available from the Department of Foreign Affairs and Trade (DFAT) website dated 4 May 2015.
For more information please visit the Geoscience Australia Web Service Portal.
Please note: 

This dataset is a snapshot of Geoscience Australia's web service dataset as on 2019-02-15


Tags: built, infrastructure, international, relations
Organization: Government of the Commonwealth of Australia - Geoscience Australia