AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS - Jobs In Australia - Employee Jobs and Income by Industry (SA4) 2013-14

This dataset presents aggregated data regarding employee jobs and median employee income per job, classified by industry subdivision at Statistical Area Level 4 (SA4). The data spans over the 2013-14 financial year and is aggregated to the 2016 SA4 boundaries.
Jobs in Australia provide aggregate statistics and are sourced from the Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers. An 'employee Job' refers to a job for which the occupant receives remuneration in wages, salary, payment in kind, or piece rates. This excludes self-employment jobs held by Owner-Managers of Unincorporated Enterprises (OMUE).
The job counts in this release differ from the filled job estimates from other sources such as the Australian Labour Account and the Labour Force Australia. The Jobs in Australia release provides insights into all jobs held throughout the year, while the Labour Account data provides the number of filled jobs at a point-in-time each quarter (and annually for the financial year reference period), and Labour Force Survey data measures the number of people employed each month. 
For more information on the release please visit the Australian Bureau of Statistics
This release provides statistics on the number and nature of jobs, the people who hold them, and their employers. These statistics can be used to understand regional labour markets or to identify the impact of major changes in local communities. The release also provides new insights into the number of jobs people hold, the duration of jobs, and the industries and employment income of concurrent jobs.
The scope of these data includes individuals who submitted an individual tax return to the Australian Taxation Office (ATO), individuals who had a Pay As You Go (PAYG) payment summary issued by an employer and their employers.
AURIN has spatially enabled the original data. The following additional changes were made:


Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.


Total values may be higher than the sum of the published components due to this confidentialisation.



Tags: COMMERCE, Demography, Demography not elsewhere classified, ECONOMICS, HUMAN SOCIETY, Human resources, MANAGEMENT, Other economics, TOURISM AND SERVICES, industrial relations
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B02 State And Statistical Local Area Of Usual Residence On Census Night By Sex (LGA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to state and statistical local area of usual residence on census night 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 LGA 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, b02, basic community profile, bcp, census, home, location on census night, place of enumeration, usual residence
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-based B23B Relationship in Household by Age by Sex as at 2011-08-11

SA1 based data for Relationship In Household by Age by Sex, for 2011 Census. Count of all persons persons in occupied private dwellings on Census night based on place of usual residence. Excludes persons in '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
LGA15 Composite Risk - 2014-2015

Estimated number of males/females/people aged 18 years and over with at least one of four risk factors (current smokers, high risk alcohol, obese, no or low exercise in the previous week), 2014-15 (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). The data is 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/. 
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: adult risk factors, alcohol, composite risk factors, estimated risk factors, exercise, lga profile 2015, phidu, public health information development unit, smoking, torrens university australia, tua, weight
Organization: Torrens University Australia - Public Health Information Development Unit
LGA-G53a Industry of Employment by Occupation-Census 2016

LGA based data for Industry of Employment by Occupation, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G53 is broken up into two sections (G53a-G53b) this section contains 'Agriculture forestry and fishing Occupation Managers' - 'Inadequately described Not stated 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, employment, g53a, gcp, general community profile, industry, occupation, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G15 Type of Educational Institute Attending by Sex-Census 2016

SA4 based data for Educational Institution Attending (Full/Part Time Students Status by Age) by Sex, in General Community Profile (GCP), 2016 Census. Count of persons attending an educational institution. 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, educational institution, g15, gcp, general community profile, sa4, sex, student
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SLA Early Childhood Development - Australian Early Development Index 2009

TThe Australian Early Development Index (AEDI) provides information about how children have developed by the time they start school across five areas of early childhood development: physical health and wellbeing, social competence, emotional maturity, language and cognitive skills (schools-based), and communication skills and general knowledge. The AEDI results report on the number of children scoring in the following percentile ranges: 0 to 10th percentile (developmentally vulnerable), 11th to 25th percentile (developmentally at risk), 26th to 50th (on track lower range) and above the 50th percentile (on track higher range), by SLA for 2009.

Tags: aedi, cognitive skills, communication, early childhood development, early development index, emotional maturity, language, physical health, population, social, social competence
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-P27 Family Blending-Census 2016

SA3 based data for Family Blending, in Place of Enumeration Profile (PEP), 2016 Census. Count of couple families with children. Classifies couple families based on the parent-child relationships within them. Temporarily absent children are taken into consideration when classifying families. Excludes 'Couple families with no children', 'One parent families' and 'Other families'. Excludes families in: 'Non-family/Non-classifiable households', 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s. 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, child, family blending, p27, parent, pep, place of enumeration profile, relationship
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G32 Dwelling Structure-Census 2016

SA3 based data for Dwelling Structure, in General Community Profile (GCP), 2016 Census. Count of Private dwellings and Persons in occupied private dwellings. Count of all persons enumerated in the dwelling on Census Night, including visitors from within Australia. Excludes usual residents who were temporarily absent on Census Night. Excludes 'Visitors only' and 'Other non-classifiable' households. 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, dwelling structure, dwellings, g31, gcp, general community profile, persons, sa3
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-based B31 Dwelling Structure as at 2011-08-11

SA2 based data for Dwelling Structure, for 2011 Census. Count of occupied and unoccupied private dwellings and persons in occupied private dwellings on Census night based on place of usual residence. Count of all persons enumerated in the dwelling on Census Night, including visitors from within Australia. Excludes usual residents who were temporarily absent on Census Night. Excludes '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
City of Melbourne CLUE Bar, Tavern and Pub Patrons Capacity (Point) 2009

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data presents the number of dining seats (classified by indoor/outdoor) for establishments with their trading name, industry (ANZSIC4) classification, location, CLUE block and small area designation as points which represent a single business. The data covers the year period of 2009.
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: 2009, capacity, census, clue, employment, hospitality, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
AusPollen - Weekly Pollen Count - Campbelltown, New South Wales (Point) July 2016 - June 2020

The data set contains airborne pollen concentrations (grains per cubic meter) from samples taken at Campbelltown site, New South Wales, Australia (-34.0721, 150.8056) between July 2016 and June 2020. Each data row has two concentrations: one for grass (Poaceae) and one for all other pollens. For comparison with other data sets and between pollen seasons the data weeks start at July 1 each calendar year. Extra days at the end of the pollen year are included in week 52. Each data row has a collection period start date, the number of days within the collection period (7-9), and the number of days on which pollen was collected and summed (0-9). Concentrations represent only the number of days collected and not always the full collection period, as indicated.  
Airborne pollen samples were collected using a volumetric continuous flow impaction sampler (Burkard Manufacturing, UK), stained with fuchsin and counted by light microscopy according to best practice described in the Australian Airborne Pollen and Spore Monitoring Network Interim Standard and Protocols (Version 2, 14 September 2018).
Data may be used for modelling and forecasting airborne grass, other, total pollen levels. Other uses include analysis of the effect of pollen levels on asthma and allergy presentations, or in inference of grass and other vegetation growth patterns. Data may also be used for evaluation of medium or long-term trends over time or comparison withpollen exposure levels between spatial distant locations.
Metadata about this and other AusPollen Aerobiology Collaboration Network monitoring sites is provided on the National Environmental Monitoring Site Register. Information about other pollen and spores monitored can be found by the AusPollen Aerobiology Collaboration Network Species Classification on the ARDC Research Vocabularies site.
AURIN has added latitude, longitude and spatialised geometry columns for each row based on the coordinates of the pollen samples. Periods over which no data is available are marked as null.

Tags: Allergy, Atmospheric sciences, BIOLOGICAL SCIENCES, BIOMEDICAL AND CLINICAL SCIENCES, Climate change impacts, EARTH SCIENCES, ENVIRONMENTAL SCIENCES, Ecology, Environmental management, Human impacts of climate change, Immunology, Plant biology, adaptation, human adaptation
Organization: National Health and Medical Research AusPollen Partnership Project
ABS Census - E38 Nature Of Occupancy By Landlord Type By Annual Family Income By Family Type (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 nature of occupancy by landlord type by annual family income by family type. Counts are of families living in occupied private dwellings (a) (excludes caravans etc in caravan parks), 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) Nature of occupancy is a dwelling characteristic. In multiple family households, each family has the same nature of occupancy.


(b) Comprises families where at least care, but not all, member(s) aged 15 years or more did not state an income and/or at least one spouse or offspring was temporarily absent.


(c) Comprises families where no member present stated an Income.


(d) Comprises 'other/inadequately described' and 'not stated'.



Tags: 1991, census, community, e38, earnings, ecp, expanded, profiles, tenancy
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Cafes, Restaurants and Bistros Seats (Points) 2014

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 2014.
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: 2014, capacity, census, clue, hospitality, land, melbourne, seats, use
Organization: Local Government of Victoria - City of Melbourne
PHIDU - Admissions - Principal Diagnosis: Males  (PHN) 2016-2017

This dataset, released November 2018, contains data relating to male hospital admissions during 2016-2017 by principal diagnosis of: Parasitic disease, cancer, Blood-organ disease, metabolic disease, mental health 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 and external causes. 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 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
SA2 Agriculture Water Use - Estimates 2015-2016

This dataset presents final estimates for the water usage of agricultural businesses in Australia by Statistical Area Level 2 (SA2) from the 2015-16 Agricultural Census. Categories included are statistics on water use, water sources, irrigation expenditure and irrigation methods. Data is aggregated to 2011 ASGS SA2 boundaries.
The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a  EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. 
The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data.
This data is ABS data (catalogue number: 4618.0) used with permission from the Australian Bureau of Statistics.
For more information on the dataset please visit the Australian Bureau of Statistics.
Please note: 


Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the data


Where data was not published or not applicable the records have been set to null



Tags: Australia, agriculture, aus, irrigation, sources, usage, water
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Avoidable Mortality - Sex (PHA) 2010-2014

This dataset, released December 2016, contains statistics relating to avoidable mortalities during the year 2010-2014 from the following causes: cancer, diabetes, circulatory systems diseases, respiratory system diseases 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: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Filessupplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries ofBirths, Deaths and Marriages and the National Coronial Information System.
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
GCCSA-G01 Selected Person Characteristics by Sex-Census 2016

GCCSA based data for Selected Person Characteristics by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. The dataset includes the following characteristics: age bracket, location on census night, Aboriginal and/or Torres Strait Islander status, birthplace, language spoken at home, Australian citizenship, age bracket of those attending an educational institution, highest year level of schooling complete and occupation of a private or other dwelling. 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, g01, gccsa, gcp, general community profile, person characteristics, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics