LGA Regional Population Growth 2016-2017

Dataset extent

Description

This dataset presents the estimates of the resident population by the 2017 Local Government Areas (LGA). The estimates are shown for the years of 2016 and 2017 and are meant to identify the regional population growth between the years of 2016 and 2017.

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it.

This data is ABS data (catalogue number: 3218.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

Notes:

  • Regions which contain unpublished data have been left blank in the dataset

Tags

Additional Info

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Field Value
Source https://adp.aurin.org.au/geoserver/wfs
Last Updated June 28, 2023, 06:00 (UTC)
Created June 28, 2023, 06:00 (UTC)
ADP ID datasource-AU_Govt_ABS-UoM_AURIN_DB_3:abs_regional_population_growth_lga_2016_17
Access Level Open Access
Aggregation Level lga2017
Attribute List Area Km2, Components Of Population Change 2016-17 Natural Increase No., Components Of Population Change 2016-17 Net Internal Migration No., Components Of Population Change 2016-17 Net Overseas Migration No., Erp At 30 June 2016Pr No., Erp At 30 June 2017P No., Erp Change 2016Pr-2017P %, Erp Change 2016Pr-2017P No., Geometry Field, LGA Code 2017, LGA Name 2017, Population Density 2017 Persons/Km2
Attribution Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2018): LGA Regional Population Growth 2016-2017; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Government of the Commonwealth of Australia - Australian Bureau of Statistics 2018
Geometry Field wkb_geometry
Key lga_code17
Type dataset
spatial {"type": "Polygon", "coordinates": [[[96.81, -43.75], [159.11, -43.75], [159.11, -9.14], [96.81, -9.14], [96.81, -43.75]]]}