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4609.0.55.003 - Land Account: Queensland, Experimental Estimates, 2013  
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 28/08/2013  First Issue
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EXPLANATORY NOTES


INTRODUCTION

1 The Land Account: Queensland, Experimental Estimates, 2013, is a pilot project that integrates environmental, economic and social data with spatial location information. It is presented in three parts; first as a series of tables for the State of Queensland and associated Natural Resource Management (NRM) regions, an interactive spatial layer using the Google Earth® framework at the Statistical Area Level 1 (SA1) from the Australian Statistical Geography Standard (ASGS) and a socio-economic dataset also at the SA1 level that can be used in a Geographical Information System (GIS).

2 Land, as an asset, represents a major proportion of Australia's national economic value and nearly all economic activities involve the use of some land. For Queensland, land was valued at $635.24 billion at June 2012 (Australian System of National Accounts (ASNA), 2011-12 (ABS cat. no. 5204.0)). The land assets in Australia are owned (or leased) and used by governments, businesses and individuals for a variety of purposes and activities. Administrative arrangements, such as zoning, and laws constrain the availability of land for particular purposes.

3 Land value is driven by physical characteristics such as location, vegetation cover, accessibility, climate, biodiversity, soils, mineral resources, etc. as well as other factors such as land zoning and man-made improvements applied to the land and surrounds. Areas of land with desirable characteristics attract competing demands from major land users (agriculture, industry, habitation, environmental protection, recreation). The use of land can also result in degradation or improvements to the asset; for example, mining operations commencing in native forest may destabilise natural ecosystems even though the land is usually required to be returned to its former status once the mining operations have ceased.

4 Although many sources of data are available to quantify the characteristics of land and how these characteristics change over time, the lack of integration of these data means that it has not been fully utilised to support sound decisions over the use and management of land and the associated assets. A suite of State and Territory Land Accounts would be part of a set of integrated environment accounts being developed by the ABS (see Towards an Integrated Environmental-Economic Account for Australia, 2010 (ABS cat. no. 4655.0.55.001)). The land accounts will be used to integrate information and could be used to inform debate on:

  • population settlement;
  • sustainable production of goods and services;
  • understanding the costs and benefits of different land management decisions, including the impact on the carbon cycle (i.e. storage and emission of CO2), water availability and water quality, species distribution and abundance;
  • understanding the productive capacity of the land in mining and agricultural industries;
  • measuring the health of the environment;
  • understanding the economic, environmental and social costs and benefits of economic activities occurring on land; and
  • public and private investment environmental protection, e.g. biodiversity conservation.

5 Production of these experimental estimates has assisted the development of the concepts and methods that will be used to produce a set of National Land Accounts. It has also been used to review the quality and limitations of the available data sources.


ENVIRONMENTAL-ECONOMIC ACCOUNTING FRAMEWORK

6 Environmental-economic accounting is a method of integrating environmental data with economic and, to a lesser degree, social data. The System of Environmental-Economic Accounting (SEEA) is an environmental-economic accounting framework developed by the United Nations Statistics Division. The SEEA Central Framework was adopted as an international statistical standard in early 2012, while a draft of the SEEA Experimental Ecosystem Accounting becomes available in November 2012. The Queensland Land Account has been produced in accordance with the SEEA and will follow previous Australian Bureau of Statistics (ABS) environmental-economic accounting publications utilising this system - Land Account: Victoria, Experimental Estimates, 2012 (ABS cat. no. 4609.0.55.002), Land Account: Great Barrier Reef Region, Experimental Estimates, 2011 (ABS cat. no. 4609.0.55.001), Energy Account, Australia, 2010-11 (ABS cat. no. 4604.0), Water Account, Australia, 2010-11 (ABS cat. no. 4610.0) and Waste Account, Australia, Experimental Estimates, 2013 (ABS cat. no. 4602.0.55.005).

7 For further information on environmental-economic accounting please refer to the ABS Information Papers: Completing the Picture - Environmental Accounting in Practice, May 2012 (ABS cat. no. 4628.0.55.001), Towards the Australian Environmental-Economic Accounts, 2013 (ABS cat. no. 4655.0.55.002), What are Environmental Accounts?, 2008 (ABS cat. no. 4655.0.55.001), Towards an Integrated Environmental-Economic Account for Australia, 2010 (ABS cat. no. 4655.0.55.001), and the United Nations Statistical Division.
SCOPE, COVERAGE AND GEOGRAPHY

8 This publication is part of a set of integrated environmental-economic accounts currently being developed by the ABS. It aims to provide statistics on land to inform decision-making, research and discussion. The data is presented in a series of statistical tables as well as in a spatial format. This publication follows the structure of Land Account: Victoria, Experimental Estimates, 2012 (ABS cat. no. 4609.0.55.002).

9 Figure 1 displays a map of the study region, Queensland, Australia. This release presents an experimental land account for the State of Queensland and the associated Natural Resource Management (NRM) regions: Border Rivers Maranoa-Balonne, Burdekin, Burnett Mary, Cape York, Condamine, Cooperative Management Area (CMA), Desert Channels, Fitzroy, Mackay Whitsunday, Northern Gulf, South East Queensland, Southern Gulf, South West Queensland, Torres Strait and Wet Tropics (see Figure 2).
Figure 1 Study region (Queensland, Australia)
Figure 1 Study region (Queensland, Australia)

Figure 2 NRM Regions with Queensland, Australia
Figure 2 NRM Regions with Queensland, Australia

10 This publication uses the new Australian Statistical Geography Standard (ASGS), containing boundaries, labels and codes for the new Statistical Area (SA) units and capital cities. The ASGS replaced the Australian Standard Geographic Classification (ASGC) in July 2011. The ASGS Statistical Area Level 1 (SA1) has been used as the base layer for producing spatial information for this publication. There are 11,039 SA1s in Queensland (see Figure 3) with an average population of approximately 400. For further information please refer to the ABS Statistical Geography Portal.
Figure 3. Map of SA1 boundaries in Queensland
Figure 3. Map of SA1 boundaries in Queensland



DATA SOURCES

11 This publication was produced using information from a number of Commonwealth and State Government Departments. The ABS gratefully acknowledges the assistance provided by these agencies. The data sources are listed below:
  • Cadlite®, February 2012 - Public Sector Mapping Agencies (PSMA). This spatial dataset contains land parcel and property information from across Australia and includes names of suburbs and boundary locations. It is a graphical index of digital cadastral boundaries, excluding easements and road drainage easements.
    Further information is available from the PSMA web site: http://www.psma.com.au/.
  • Dynamic Land Cover Mapping - Geoscience Australia (GA) in collaboration with the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). The Dynamic Land Cover Dataset (DLCD) V2 beta has been used in this publication. The DLCD is the first nationally consistent and thematically comprehensive land cover reference for Australia. It is the result of collaboration between GA and ABARES, and provides a base-line for identifying and reporting on change and trends in vegetation cover and extent.

    The DLCD V2 includes snapshots of vegetation greenness for each 250 by 250 metre grid cell and is based on 2 years of Moderate Resolution Imaging Spectroradiometer (MODIS). The classification scheme used to describe land cover categories in the DLCD conforms to the 2007 International Standards Organisation (ISO) land cover standard (19144-2). The DLCD shows Australia's land cover clustered into 33 classes. These reflect the structural character of vegetation, ranging from cultivated and managed land covers (crops and pastures) to natural land covers such as closed forest and sparse, open grasslands.

    The source data for the DLCD is a time series of Enhanced Vegetation Index (EVI) data from the MODIS on the Terra and Aqua satellites operated by National Aeronautics and Space Administration (NASA). ABS has used DLCD V2-beta based on MODIS data from 2010-11 for the Queensland Land Account.

    DLCD results published in the Queensland Land Account should be used with caution. The following are some known issues with DLCD:
      • Small areas of known rapid afforestation are not consistently being detected;
      • Steep south west facing slopes may lack data and due to this may contain isolated tussock grass or sedge pixels; and
      • Changes in the extent of irrigation in vineyards, orchards and olive groves are not consistently being detected.
    Further information is available from the GA web site http://www.ga.gov.au.
  • State of Queensland (Department of Natural Resources and Mines, 2012) - Land valuations file. The valuations file provides information on land use and land values for cadastral properties. In consideration of the State permitting use of this data you acknowledge and agree that the State gives no warranty in relation to the data (including accuracy, reliability, completeness, currency or suitability) and accepts no liability (including without limitation, liability in negligence) for any loss, damage or costs (including consequential damage) relating to any use of the data. Data must not be used for direct marketing or be used in breach of the privacy laws.
  • Catchment Scale Land Use Mapping for Australia, Update March 2010 - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). Land use mapping was used at two scales: national scale (1:2,500,000) and catchment scale (1:25,000) using the Australian Land Use and Management (ALUM) classification. Further information is available from the ABARES web site: http://www.daff.gov.au/abares.
  • Estimated Resident Population (ERP) - Australian Bureau of Statistics. ERPs are official estimates of the Australian population, which link people to a place of usual residence within Australia. More information about ERP and other population concepts is available in Information Paper: Population Concepts, Australia, 2008 (ABS cat. no. 3107.0.55.006).

    Population estimates at the SA1 level as at 30 June of a census year are complied by apportioning the population estimate for each Statistical Area Level 2 (SA2) across the SA1s within the SA2, using census usual residence counts.

    Caution should be exercised when using these estimates, especially for areas with very small populations. While unrounded figures are released, accuracy to the last digit is not claimed and should not be assumed. Estimates aggregated to broader regions, and age groups, are more reliable than the finer level regional or age breakdowns.

    All ERP data sources, including from the Census of Population and Housing, are subject to error. Errors can arise from inaccuracies in collecting, recording and processing the data. The ABS does not have control over any error associated with non-ABS administrative data sources, nor, to a large extent, dwelling approvals, births and deaths registrations and overseas migration data. The accuracy of some administrative data sources is also dependant on the length of time taken for migrators to update their address details with the relevant agency.

    The accuracy of sub-state ERPs, including SA2 ERPs, is described in the Quality Declaration for Regional Population Growth, Australia, 2010-11 (ABS cat. no. 3218.0). The accuracy of SA1 ERPs is partly dependent on the accuracy of SA2 ERPs.

    These estimates are subjected to confidentialisation and randomisation processes. Thus, all small estimates should be regarded as derived numbers rather than actual counts of the population.
  • Building Approvals - Australian Bureau of Statistics - Data for building work approvals are compiled from:
      • permits issued by local government authorities;
      • contracts let or day labour work authorised by Commonwealth, State, semi-government and local government authorities and;
      • major building activity in areas not subject to normal administrative approval (e.g. building on remote mine sites).

    The data included in this profile relate to all residential building approvals valued at $10,000 or more and all approved non-residential building jobs valued at $50,000 or more.

    Construction activity not defined as building (e.g. construction of roads, bridges, railways etc.) is excluded from building statistics.

    The data are as at the June 2012 issue of Building Approvals, Australia, and refer to the financial year ended 30 June. For further information see Building Approvals, Australia, October 2012 (ABS cat. no. 8731.0).

DATA CURRENCY

12 The two datasets used to produce the main cross-classification tables are land valuations from the State of Queensland and Geoscience Australia's Dynamic Land Cover Dataset (DLCD) V2 beta product. The reference periods for these data sets do not align. The Queensland valuations data represents land use and value as at 2013, valuations have been weighted to June 2012 figures from Australian System of National Accounts (ASNA), 2011-12 (ABS cat. no. 5204.0). Dynamic Land Cover is compiled from 2 years of MODIS data from 2010-11. The primary aim of this publication was to develop a consistent and repeatable methodology for producing a regular suite of State and Territory Land Accounts. This aim drove the selection of the primary data sets used.


METHODOLOGY

13 The following methodology describes how the data presented in the main cross-classification tables (1-2) were derived. Cross-classification tables produced for the State and each NRM region are:
  • Table 1 - Land use by Land cover (rateable value), 2013; and
  • Table 2 - Land use by Land cover (hectares), 2013.

14 Methodology for producing the tables;
PSMA CadLite cadastral boundaries were used as the foundation for the Queensland Land Account. This provided a spatial representation of land parcels and properties. Land area not covered by CadLite has been presented as ‘transport easements’ in Table 2. As ‘transport easements’ is a custom classification not present in the valuations data it cannot be valued and is not included in Table 1.

15 CadLite boundaries contain duplicate and overlapping polygons. In Land Account: Victoria, Experimental Estimates, 2012 (ABS cat. no. 4609.0.55.002) these objects were removed from the analysis. This has been revised for Queensland. Instead, where overlaps occur, polygons have been merged to form a single object. This enables all Queensland valuations to be included in Table 1 and prevents double counting of land area in Table 2.

16 The Queensland valuations file was the data source for land values and land use classification, as well as Lot/Plan and property identifiers. These variables were used for the development of Tables 1 and 2. The Queensland valuations data includes valuations for various purposes. This account only used Issuing valuations which are used for Local Government rating purposes. The process of linking valuations data to CadLite required both a tabular join based on the Lot/Plan identifiers and address coding. The tabular join generated duplicate valuations and cadastral boundaries. This was resolved by combining duplicates to create single valuations and cadastral boundaries.

17 The remaining valuations records were linked to CadLite using address coding. Only addresses returning an accurate match to a precisely located Geocoded National Address File (GNAF) point were accepted. Following this process approximately 98% of Queensland valuation records were allocated to a property.

18 Where multiple valuations fall on the same property their values are summed. These valuations can have different land use classifications reflecting multiple uses at the site. Where this occurred a primary land use was allocated based on three criteria. In order of priority, these are:
          1. number of contributors with a common land use;
          2. land use with greatest rateable land value; and
          3. land use with greatest land area.
19 Land value of properties with multiple valuation records was summed to create a property total. The dominant land use method was chosen to facilitate reporting change between two time periods. No time-series data is presented in this publication, however, a Land Account presenting a time-series of data will be released for the Great Barrier Reef (GBR) NRM regions in late 2013.

20 The DLCD V2 beta was provided by Geoscience Australia as a 250m by 250m grid for Australia. Using ESRI ArcMap™, the DLCD V2 beta was converted to a feature using the ‘raster to polygon’ function. The output of this conversion was then intersected with CadLite. This process can create areas of Land Cover smaller than the resolution of the original grid. Any value of less than 6.25 hectares in area is less than the resolution of the DLCD and should be used with caution.

21 The two output geographies for the Queensland Land Account are NRM regions and SA1 regions. Each property in Queensland was assigned an NRM and SA1 code by spatially joining these boundaries using the centroid of each property. Issues of boundary alignment existed between CadLite and the SA1 and NRM regions. Properties unable to be assigned both an SA1 and NRM code were excluded from this analysis.

22 In order to develop consistent Land Accounts for all jurisdictions in Australia, the land use classification applied needs to be consistent for all States and Territories. The Land Account: Victoria, Experimental Estimates, 2012 (ABS cat. no. 4609.0.55.002) publication presented land use under the Australian Valuation Property Classification Codes (AVPCC). In contrast, the Queensland valuation file uses it's own land use classification. A decision was made to apply AVPCC to all States and Territories, as it is promoted as a national standard. For the Queensland Land Account, a concordance between the Queensland land use classification and AVPCC has been created by the ABS. In the concordance, Primary Production is split into it's secondary level, while all other categories are presented at the primary level. Custom 'Unallocated' and 'Transport easements' classes have also been added.

23 The valuations file does not cover all land in Queensland. PSMA produces a green space theme within the Transport and Topography dataset. All polygons classified as National Parks in this dataset were extracted and overlaid on properties where no valuations data had been joined. In Table 2, the AVPCC 'National Parks, conservation areas, forest reserves and natural water reserves' class was supplemented with this information. Data from the green space theme only reflects land area, not land value. Therefore the 'National Parks, conservation areas, forest reserves and natural water reserves' land use is not comparable between Table 1 and 2.

24 Table 1 publishes data consistent with Australian System of National Accounts (ASNA), 2011-12 (ABS cat. no. 5204.0). ABS National Accounts projected values of land from the State of Queensland for rural and commercial land. The value of residential land is sourced from a method that uses a combination of data produced by the ABS and the Reserve Bank of Australia (RBA). The ABS and RBA methodology generates combined estimates of land and dwellings owned by households. The ABS value of dwellings owned by households is then subtracted to derive the value of residential land owned by households. As a result, raw Queensland rateable land values do not fully align with values published in ASNA. To ensure land values presented in the Queensland Land Account align with ASNA, the rateable values in Tables 1 were weighted to the ASNA output values for rural, commercial and residential land in Queensland.

25 Australian System of National Accounts (ASNA), 2011-12 (ABS cat. no. 5204.0) also includes an "Other" land use, valued at $100.2 billion in Queensland for 2012. This is non-rateable land, including; crown land, National Parks and other land owned by government, as well as land held under native title and other types of arrangements. The Queensland land valuations data does not incorporate non-rateable land.

26 In concept the Queensland Land Account is consistent with the ASNA. However, there is a significant lead-time necessary to incorporate monetary estimates for the value of Queensland land into the Land Account. The data contained in Land Account: Queensland, Experimental Estimates, 2013 are consistent with the previous 2011-12 edition of the ASNA (Australian System of National Accounts (ASNA), 2011-12 (ABS cat. no. 5204.0).
SA1 Google Earth and spatial layers

27 To produce the Google Earth and spatial layers, a range of socioeconomic and environmental data was overlaid onto spatial boundaries at the Statistical Area 1 (SA1) level. This data was then exported into Google Earth® to present data for each SA1. This layer has also been produced in a tab delimited text format, Mapinfo format and ESRI Geodatabase format for use in a Geographic Information System (GIS).

28 Cadastral boundaries do not always align with SA1 boundaries. Rateable land value was transferred from the cadastral layer to SA1's in Queensland using the centroid of each property. This results in properties with boundaries extending outside the SA1 they are associated with. In some cases, this will result in the sum of cadastral parcel area being larger than the area of the SA1. This information is published in the SA1 dataset as the percentage of each SA1's area covered by properties. For the Queensland SA1 layer, 482 out of 11,039 SA1s (4.4%) had a total area of properties more than 100% of the associated SA1. SA1's adjacent to these overflowing SA1s will tend to have less than 100% cadastral area. Rateable value has not been reported where the total cadastral parcel area is less than 60% or greater than 140% of the SA1 area.

29 Land cover and catchment scale land use have been summarised for each SA1 in Queensland.

30 The boundaries used in the Google Earth® file are a simplified version of the official SA1 boundaries. The official SA1 boundaries can be downloaded from Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2011 (ABS cat. no. 1270.0.55.001).

31 In the tab delimited, MapInfo and ESRI Geodatabase format files, suppressed cells have been reported as ‘0’ to maintain a numeric field format. Additional columns with ‘_np’ added to the original field name have been included to identify suppressed (np) and non-suppressed ( - ) data. These additional fields should be used in conjunction with their preceding data fields.

32 Land values at the SA1 level are reported directly from the State of Queensland and do not align with the values used in Tables 1 and 2 which align with the Australian National Accounts.

33 A detailed description of each SA1 data item can be found in Appendix 1 for the Google Earth kml layer and Appendix 2 for the tab delimited text format, Mapinfo format and ESRI Geodatabase files.


Cadastral change data

34 This product is an analysis of Cadastral data from PSMA CadLite with the aim of showing change over time. By identifying subdivision of Cadastral parcels, users will be able to locate changes in settlement patterns and changes in land use. SA1 counts of Cadastral parcels were produced using the centroid of each parcel. The dates of datasets being used for this analysis are August 2002, 2006 and 2011. These dates coincide with Census' of Population and Housing with the exception of 2002 which is the earliest available PSMA Cadlite dataset. Counts were made for 7 size ranges as a proxy for the expected land uses:
  • 0 - 0.075 ha (predominantly urban residential)
  • 0.075 - 0.15 ha (predominantly urban residential)
  • 0.15 - 0.4 ha (predominantly mixed uses generally in urban/built up areas)
  • 0.4 - 2 ha (predominantly peri-urban, rural residential but will include urban industrial/commercial and parks)
  • 2 - 10 ha (predominantly peri-urban, rural residential)
  • 10 - 100 ha (predominantly agriculture, reserves)
  • >= 100 ha (predominantly agriculture, reserves)

35 Cadastral data is sourced from PSMA's CadLite product. This data is supplied to PSMA by each State and Territory jurisdiction, and in turn each State and Territory receives data from local Governments. The currency and frequency of data delivery within this supply chain can result in anomalies in the cadastral counts. This has been largely ameliorated by comparing periods 4 and 5 years apart, however users should be aware that not all cadastral change will be the result of land development, but could be caused by historical updates to Cadastre including boundary re-alignments.


CONFIDENTIALITY

36 Where appropriate, certain data has been suppressed to prevent the release of any information that may identify any individual or organisation.


CLASSIFICATIONS

37 The following classifications were used in this publication:
  • Australian Statistical Geography Standard (ASGS)
  • Australian Land Use and Management (ALUM)
  • Australian Valuation Property Classification Codes (AVPCC)
  • International Standards Organisation Land Cover Classification (ISO 19144-2)
RELATED PUBLICATIONS

38 Users should also refer to Land Account: Victoria, Experimental Estimates, 2012 (ABS cat. no. 4609.0.55.002) and Land Account: Great Barrier Reef Region, Experimental Estimates, 2011 (ABS cat. no. 4609.0.55.001). These Land Accounts presents the first experimental estimates produced by the ABS for Queensland and Victoria. This methodology formed the basis of the Land Account: Queensland, Experimental Estimates, 2013.

39 For further information on environmental accounting please refer to the ABS Information Paper: Completing the Picture - Environmental Accounting in Practice, May 2012 (ABS cat. no. 4628.0.55.001), Towards the Australian Environmental-Economic Accounts, 2013 (ABS cat. no. 4655.0.55.002) and What are Environmental Accounts?, 2008 (ABS cat. no. 4655.0.55.001).

40 The Australian Statistical Geography Standard (ASGS) (ABS cat. no. 1270.0.55.001) is the framework for understanding and interpreting the geographical context of statistics published by the ABS. From July 2011 the ABS will progressively replace the current ASGC with the new ASGS as its geographical framework. Further information can be found at the ABS website - http://www.abs.gov.au/.

41 Counts of active ABNs with a Registered Business Address were included in the Land Account: Great Barrier Reef Region, Experimental Estimates, 2011 (ABS cat. no. 4609.0.55.001). This data item has been omitted from this publication as it is available from Counts of Australian Businesses, including Entries and Exits, Jun 2007 to Jun 2011 (ABS cat. no. 8165.0).

42 Other ABS environmental-economic accounting publications which have been published in accordance with the SEEA, including; Energy Account, Australia, 2010-11 (ABS cat. no. 4604.0), Water Account, Australia, 2010-11 (ABS cat. no. 4610.0) and Waste Account, Australia, Experimental Estimates, 2013 (ABS cat. no. 4602.0.55.005).

43 Land, timber and sub-soil assets are also included on the national balance sheet contained in the Australian System of National Accounts (ASNA), 2011-12 (ABS cat. no. 5204.0). Additionally, information on land valuation methodology used to produce the national balance sheet on land can be found in following feature article Australian System of National Accounts, 2005-06 - Valuing land and dwellings owned by households.

44 Other ABS publications related to this topic include:

SYMBOLS USED
npnot available for publication but included in totals where applicable, unless otherwise indicated
- nil or rounded to zero (incl. null cells)


APPENDIX 1: DESCRIPTION OF SA1 DATA ITEMS - GOOGLE EARTH KML FORMAT

ThemeTableData item nameAbbreviated nameUnitDescription
Land area & valueLand areaSA1 identifying codeSA1_MAINCODE_2011-A unique 11 digit hierarchical code that identifies each SA1 region.
Land area & valueLand areaArea of this SA1SA1_AREA_ALBERS_HAHa.The area of this SA1 in hectares.
Land area & valueLand areaArea of Cadastral propertiesBND_CAD_PROPORTION%Proportion of total SA1 area covered by Cadastral properties.
Land area & valueLand valueRateable valueLV_SITE_VALUE$mThe total rateable land value in this SA1.
Population and land developmentEstimated Resident PopulationERP 2002ERP_2002No.Estimated Resident Population 2002.
Population and land developmentEstimated Resident PopulationERP 2006ERP_2006No.Estimated Resident Population 2006.
Population and land developmentEstimated Resident PopulationERP 2011ERP_2011No.Estimated Resident Population 2011.
Population and land developmentBuilding approvals 2011/12New dwellings approvedBAP_DWELLNo.New dwelling units approved 2011/12.
Population and land developmentBuilding approvals 2011/12Value of total building approvedBAP_VALUE$,000Value of total building approved 2011/12.
Population and land developmentCadastral parcel change2002 - 2011 ( 0 - 0.075 ha ) CAD_0211_1No.Increase or decrease in the number of Cadastral parcels sized 0 to 0.075 hectares (0-750 m2) between Aug 2002 and Aug 2011.
Population and land developmentCadastral parcel change2002 - 2011 ( 0.075 - 0.15 ha )CAD_0211_2No.Increase or decrease in the number of Cadastral parcels sized 0.075 to 0.15 hectares (750-1500 m2) between Aug 2002 and Aug 2011.
Population and land developmentCadastral parcel change2002 - 2011 ( 0.15 - 0.4 ha )CAD_0211_3No.Increase or decrease in the number of Cadastral parcels sized 0.15 to 0.4 hectares between Aug 2002 and Aug 2011.
Population and land developmentCadastral parcel change2002 - 2011 ( 0.4 - 2 ha )CAD_0211_4No.Increase or decrease in the number of Cadastral parcels sized 0.4 to 2 hectares between Aug 2002 and Aug 2011.
Population and land developmentCadastral parcel change2002 - 2011 ( 2 - 10 ha )CAD_0211_5No.Increase or decrease in the number of Cadastral parcels sized 2 to 10 hectares between Aug 2002 and Aug 2011.
Population and land developmentCadastral parcel change2002 - 2011 ( 10 - 100 ha )CAD_0211_6No.Increase or decrease in the number of Cadastral parcels sized 10 to 100 hectares between Aug 2002 and Aug 2011.
Population and land developmentCadastral parcel change2002 - 2011 ( >100 ha )CAD_0211_7No.Increase or decrease in the number of Cadastral parcels sized greater than 100 hectares between Aug 2002 and Aug 2011.
Population and land developmentCadastral parcel change2006 - 2011 ( 0 - 0.075 ha )CAD_0611_1No.Increase or decrease in the number of Cadastral parcels sized 0 to 0.075 hectares (0-750 m2) between Aug 2006 and Aug 2011.
Population and land developmentCadastral parcel change2006 - 2011 ( 0.075 - 0.15 ha )CAD_0611_2No.Increase or decrease in the number of Cadastral parcels sized 0.075 to 0.15 hectares (750-1500 m2) between Aug 2006 and Aug 2011.
Population and land developmentCadastral parcel change2006 - 2011 ( 0.15 - 0.4 ha )CAD_0611_3No.Increase or decrease in the number of Cadastral parcels sized 0.15 to 0.4 hectares between Aug 2006 and Aug 2011.
Population and land developmentCadastral parcel change2006 - 2011 ( 0.4 - 2 ha )CAD_0611_4No.Increase or decrease in the number of Cadastral parcels sized 0.4 to 2 hectares between Aug 2006 and Aug 2011.
Population and land developmentCadastral parcel change2006 - 2011 ( 2 - 10 ha )CAD_0611_5No.Increase or decrease in the number of Cadastral parcels sized 2 to 10 hectares between Aug 2006 and Aug 2011.
Population and land developmentCadastral parcel change2006 - 2011 ( 10 - 100 ha )CAD_0611_6No.Increase or decrease in the number of Cadastral parcels sized 10 to 100 hectares between Aug 2006 and Aug 2011.
Population and land developmentCadastral parcel change2006 - 2011 ( >100 ha )CAD_0611_7No.Increase or decrease in the number of Cadastral parcels sized greater than 100 hectares between Aug 2006 and Aug 2011.
Land useALUM Land UseConservation and Natural EnvironmentsALUM_CON_NAT_ENV%Proportion of total SA1 area classified as Conservation and Natural Environments - Land is used primarily for conservation purposes, based on the maintenance of essentially natural ecosystems already present.
Land useALUM Land UseProduction from Relatively Natural EnvironmentsALUM_PRD_NAT_ENV%Proportion of total SA1 area classified as Production from Relatively Natural Environments - Land is used mainly for primary production based on limited change to the native vegetation.
Land useALUM Land UseProduction from Dryland Agriculture and PlantationsALUM_PRD_DRY_AG%Proportion of total SA1 area classified as Production from Dryland Agriculture and Plantations - Land is used mainly for primary production, based on dryland farming systems.
Land useALUM Land UseProduction from Irrigated Agriculture and PlantationsALUM_PRD_IRR_AG%Proportion of total SA1 area classified as Production from Irrigated Agriculture and Plantations - Land is used mainly for primary production, based on irrigated farming.
Land useALUM Land UseIntensive usesALUM_INTENSIVE%Proportion of total SA1 area classified as Intensive uses - Land is subject to substantial modification, generally in association with closer residential settlement, commercial or industrial uses.
Land useALUM Land UseWaterALUM_WATER%Proportion of total SA1 area classified as water - Although primarily land cover types, water features are regarded as essential to the classification.
Land coverDynamic Land Cover Extraction Sites DLC_EXTRACTION%Proportion of total SA1 area covered by Extraction sites.
Land coverDynamic Land Cover Inland Waterbodies DLC_INLAND_WATER%Proportion of total SA1 area covered by Inland Waterbodies
Land coverDynamic Land Cover Salt Lakes DLC_SALT_LAKES%Proportion of total SA1 area covered by Salt Lakes
Land coverDynamic Land Cover Irrigated Cropping DLC_IRR_CROPPING%Proportion of total SA1 area covered by Irrigated Cropping
Land coverDynamic Land Cover Irrigated Pasture DLC_IRR_PASTURE%Proportion of total SA1 area covered by Irrigated Pasture
Land coverDynamic Land Cover Rainfed Cropping DLC_RAINFED_CROP%Proportion of total SA1 area covered by Rainfed Cropping
Land coverDynamic Land Cover Rainfed Pasture DLC_RAINFED_PASTURE%Proportion of total SA1 area covered by Rainfed Pasture
Land coverDynamic Land Cover Wetlands DLC_WETLANDS%Proportion of total SA1 area covered by Wetlands
Land coverDynamic Land Cover Alpine Grasses - Open DLC_APL_GRASS_OPEN%Proportion of total SA1 area covered by Alpine Grasses - Open
Land coverDynamic Land Cover Hummock Grasses - Open DLC_HUM_GRASS_OPEN%Proportion of total SA1 area covered by Hummock Grasses - Open
Land coverDynamic Land Cover Sedges - Open DLC_SEDGES_OPEN%Proportion of total SA1 area covered by Sedges - Open
Land coverDynamic Land Cover Tussock Grasses - Open DLC_TUSS_GRASS_OPEN%Proportion of total SA1 area covered by Tussock Grasses - Open
Land coverDynamic Land Cover Hummock Grasses - Sparse DLC_HUMM_SPARSE%Proportion of total SA1 area covered by Hummock Grasses - Sparse
Land coverDynamic Land Cover Tussock Grasses - Sparse DLC_TUSS_GRSS_SPAR%Proportion of total SA1 area covered by Tussock Grasses - Sparse
Land coverDynamic Land Cover Shrubs - Closed DLC_SHRUBS_CLOSED%Proportion of total SA1 area covered by Shrubs - Closed
Land coverDynamic Land Cover Shrubs - Open DLC_SHRUBS_OPEN%Proportion of total SA1 area covered by Shrubs - Open
Land coverDynamic Land Cover Chenopod Shrubs - Open DLC_CHEN_OPEN%Proportion of total SA1 area covered by Chenopod Shrubs - Open
Land coverDynamic Land Cover Shrubs - Scattered DLC_SHRUB_SCAT%Proportion of total SA1 area covered by Shrubs - Scattered
Land coverDynamic Land Cover Shrubs - Sparse DLC_SHRUB_SPARSE%Proportion of total SA1 area covered by Shrubs - Sparse
Land coverDynamic Land Cover Chenopod Shrubs - Sparse DLC_CHEN_SPARSE%Proportion of total SA1 area covered by Chenopod Shrubs - Sparse
Land coverDynamic Land Cover Trees - Closed DLC_TREES_CLOSED%Proportion of total SA1 area covered by Trees - Closed
Land coverDynamic Land Cover Trees - Open DLC_TREES_OPEN%Proportion of total SA1 area covered by Trees - Open
Land coverDynamic Land Cover Trees - Scattered DLC_TREES_SCAT%Proportion of total SA1 area covered by Trees - Scattered
Land coverDynamic Land Cover Trees - Sparse DLC_TREES_SPARSE%Proportion of total SA1 area covered by Trees - Sparse
Land coverDynamic Land Cover Built Up Areas DLC_BUILT_UP_AREAS%Proportion of total SA1 area covered by Built Up Areas
Land coverDynamic Land CoverUnallocatedDLC_UNALLOCATED%Proportion of total SA1 area that was unable to be classified with Dynamic land cover raster data.
APPENDIX 2: DESCRIPTION OF SA1 DATA ITEM - TEXT FILE, ESRI GEODATABASE & MAPINFO FORMAT
ThemeData item nameAbbreviated nameUnitDescription
Land area & valueSA1 identifying codeSA1_MAINCODE_2011-A unique 11 digit hierarchical code that identifies each SA1 region.
Land area & valueArea of this SA1SA1_AREA_ALBERS_HAHa.The area of this SA1 in hectares.
Land area & valueArea of Cadastral propertiesBND_CAD_PROPORTION%Proportion of total SA1 area covered by Cadastral properties.
Land area & valueRateable valueLV_SITE_VALUE$The total rateable land value in this SA1.
Land area & valueRateable value confidentialityLV_SITE_VALUE_NP-Identify suppressed (np) and non-suppressed ( - ) data of total rateable land value.
Population and land developmentERP 2002ERP_2002No.Estimated Resident Population 2002.
Population and land developmentERP 2006ERP_2006No.Estimated Resident Population 2006.
Population and land developmentERP 2011ERP_2011No.Estimated Resident Population 2011.
Population and land developmentNew dwellings approvedBAP_DWELLNo.New dwelling units approved 2011/12.
Population and land developmentValue of total building approvedBAP_VALUE$Value of total building approved 2011/12.
Population and land development2002 - 2011 ( 0 - 0.075 ha ) CAD_0211_1No.Increase or decrease in the number of Cadastral parcels sized 0 to 0.075 hectares (0-750 m2) between Aug 2002 and Aug 2011.
Population and land development2002 - 2011 ( 0.075 - 0.15 ha )CAD_0211_2No.Increase or decrease in the number of Cadastral parcels sized 0.075 to 0.15 hectares (750-1500 m2) between Aug 2002 and Aug 2011.
Population and land development2002 - 2011 ( 0.15 - 0.4 ha )CAD_0211_3No.Increase or decrease in the number of Cadastral parcels sized 0.15 to 0.4 hectares between Aug 2002 and Aug 2011.
Population and land development2002 - 2011 ( 0.4 - 2 ha )CAD_0211_4No.Increase or decrease in the number of Cadastral parcels sized 0.4 to 2 hectares between Aug 2002 and Aug 2011.
Population and land development2002 - 2011 ( 2 - 10 ha )CAD_0211_5No.Increase or decrease in the number of Cadastral parcels sized 2 to 10 hectares between Aug 2002 and Aug 2011.
Population and land development2002 - 2011 ( 10 - 100 ha )CAD_0211_6No.Increase or decrease in the number of Cadastral parcels sized 10 to 100 hectares between Aug 2002 and Aug 2011.
Population and land development2002 - 2011 ( >100 ha )CAD_0211_7No.Increase or decrease in the number of Cadastral parcels sized greater than 100 hectares between Aug 2002 and Aug 2011.
Population and land development2006 - 2011 ( 0 - 0.075 ha )CAD_0611_1No.Increase or decrease in the number of Cadastral parcels sized 0 to 0.075 hectares (0-750 m2) between Aug 2006 and Aug 2011.
Population and land development2006 - 2011 ( 0.075 - 0.15 ha )CAD_0611_2No.Increase or decrease in the number of Cadastral parcels sized 0.075 to 0.15 hectares (750-1500 m2) between Aug 2006 and Aug 2011.
Population and land development2006 - 2011 ( 0.15 - 0.4 ha )CAD_0611_3No.Increase or decrease in the number of Cadastral parcels sized 0.15 to 0.4 hectares between Aug 2006 and Aug 2011.
Population and land development2006 - 2011 ( 0.4 - 2 ha )CAD_0611_4No.Increase or decrease in the number of Cadastral parcels sized 0.4 to 2 hectares between Aug 2006 and Aug 2011.
Population and land development2006 - 2011 ( 2 - 10 ha )CAD_0611_5No.Increase or decrease in the number of Cadastral parcels sized 2 to 10 hectares between Aug 2006 and Aug 2011.
Population and land development2006 - 2011 ( 10 - 100 ha )CAD_0611_6No.Increase or decrease in the number of Cadastral parcels sized 10 to 100 hectares between Aug 2006 and Aug 2011.
Population and land development2006 - 2011 ( >100 ha )CAD_0611_7No.Increase or decrease in the number of Cadastral parcels sized greater than 100 hectares between Aug 2006 and Aug 2011.
Population and land development2002 ( 0 - 0.075 ha )CAD_02_1No.Number of Cadastral parcels sized 0 to 0.075 hectares (0-750 m2) at August 2002.
Population and land development2002 ( 0.075 - 0.15 ha )CAD_02_2No.Number of Cadastral parcels sized 0.075 to 0.15 hectares (750-1500 m2) at August 2002.
Population and land development2002 ( 0.15 - 0.4 ha )CAD_02_3No.Number of Cadastral parcels sized 0.15 to 0.4 hectares at August 2002.
Population and land development2002 ( 0.4 - 2 ha )CAD_02_4No.Number of Cadastral parcels sized 0.4 to 2 hectares at August 2002.
Population and land development2002 ( 2 - 10 ha )CAD_02_5No.Number of Cadastral parcels sized 2 to 10 hectares at August 2002.
Population and land development2002 ( 10 - 100 ha )CAD_02_6No.Number of Cadastral parcels sized 10 to 100 hectares at August 2002.
Population and land development2002 ( >100 ha )CAD_02_7No.Number of Cadastral parcels greater than 100 hectares at August 2002.
Population and land development2006 ( 0 - 0.075 ha )CAD_06_1No.Number of Cadastral parcels sized 0 to 0.075 hectares (0-750 m2) at August 2006.
Population and land development2006 ( 0.075 - 0.15 ha )CAD_06_2No.Number of Cadastral parcels sized 0.075 to 0.15 hectares (750-1500 m2) at August 2006.
Population and land development2006 ( 0.15 - 0.4 ha )CAD_06_3No.Number of Cadastral parcels sized 0.15 to 0.4 hectares at August 2006.
Population and land development2006 ( 0.4 - 2 ha )CAD_06_4No.Number of Cadastral parcels sized 0.4 to 2 hectares at August 2006.
Population and land development2006 ( 2 - 10 ha )CAD_06_5No.Number of Cadastral parcels sized 2 to 10 hectares at August 2006.
Population and land development2006 ( 10 - 100 ha )CAD_06_6No.Number of Cadastral parcels sized 10 to 100 hectares at August 2006.
Population and land development2006 ( >100 ha )CAD_06_7No.Number of Cadastral parcels greater than 100 hectares at August 2006.
Population and land development2011 ( 0 - 0.075 ha )CAD_11_1No.Number of Cadastral parcels sized 0 to 0.075 hectares (0-750 m2) at August 2011.
Population and land development2011 ( 0.075 - 0.15 ha )CAD_11_2No.Number of Cadastral parcels sized 0.075 to 0.15 hectares (750-1500 m2) at August 2011.
Population and land development2011 ( 0.15 - 0.4 ha )CAD_11_3No.Number of Cadastral parcels sized 0.15 to 0.4 hectares at August 2011.
Population and land development2011 ( 0.4 - 2 ha )CAD_11_4No.Number of Cadastral parcels sized 0.4 to 2 hectares at August 2011.
Population and land development2011 ( 2 - 10 ha )CAD_11_5No.Number of Cadastral parcels sized 2 to 10 hectares at August 2011.
Population and land development2011 ( 10 - 100 ha )CAD_11_6No.Number of Cadastral parcels sized 10 to 100 hectares at August 2011.
Population and land development2011 ( >100 ha )CAD_11_7No.Number of Cadastral parcels greater than 100 hectares at August 2011.
Land useConservation and Natural EnvironmentsALUM_CON_NAT_ENVHa.Proportion of total SA1 area classified as Conservation and Natural Environments - Land is used primarily for conservation purposes, based on the maintenance of essentially natural ecosystems already present.
Land useProduction from Relatively Natural EnvironmentsALUM_PRD_NAT_ENVHa.Proportion of total SA1 area classified as Production from Relatively Natural Environments - Land is used mainly for primary production based on limited change to the native vegetation.
Land useProduction from Dryland Agriculture and PlantationsALUM_PRD_DRY_AGHa.Proportion of total SA1 area classified as Production from Dryland Agriculture and Plantations - Land is used mainly for primary production, based on dryland farming systems.
Land useProduction from Irrigated Agriculture and PlantationsALUM_PRD_IRR_AGHa.Proportion of total SA1 area classified as Production from Irrigated Agriculture and Plantations - Land is used mainly for primary production, based on irrigated farming.
Land useIntensive usesALUM_INTENSIVEHa.Proportion of total SA1 area classified as Intensive uses - Land is subject to substantial modification, generally in association with closer residential settlement, commercial or industrial uses.
Land useWaterALUM_WATERHa.Proportion of total SA1 area classified as water - Although primarily land cover types, water features are regarded as essential to the classification.
Land cover Extraction Sites DLC_EXTRACTIONHa.Proportion of total SA1 area covered by Extraction sites.
Land cover Inland Waterbodies DLC_INLAND_WATERHa.Proportion of total SA1 area covered by Inland Waterbodies
Land cover Salt Lakes DLC_SALT_LAKESHa.Proportion of total SA1 area covered by Salt Lakes
Land cover Irrigated Cropping DLC_IRR_CROPPINGHa.Proportion of total SA1 area covered by Irrigated Cropping
Land cover Irrigated Pasture DLC_IRR_PASTUREHa.Proportion of total SA1 area covered by Irrigated Pasture
Land cover Rainfed Cropping DLC_RAINFED_CROPHa.Proportion of total SA1 area covered by Rainfed Cropping
Land cover Rainfed Pasture DLC_RAINFED_PASTUREHa.Proportion of total SA1 area covered by Rainfed Pasture
Land cover Wetlands DLC_WETLANDSHa.Proportion of total SA1 area covered by Wetlands
Land cover Alpine Grasses - Open DLC_APL_GRASS_OPENHa.Proportion of total SA1 area covered by Alpine Grasses - Open
Land cover Hummock Grasses - Open DLC_HUM_GRASS_OPENHa.Proportion of total SA1 area covered by Hummock Grasses - Open
Land cover Sedges - Open DLC_SEDGES_OPENHa.Proportion of total SA1 area covered by Sedges - Open
Land cover Tussock Grasses - Open DLC_TUSS_GRASS_OPENHa.Proportion of total SA1 area covered by Tussock Grasses - Open
Land cover Hummock Grasses - Sparse DLC_HUMM_SPARSEHa.Proportion of total SA1 area covered by Hummock Grasses - Sparse
Land cover Tussock Grasses - Sparse DLC_TUSS_GRSS_SPARHa.Proportion of total SA1 area covered by Tussock Grasses - Sparse
Land cover Shrubs - Closed DLC_SHRUBS_CLOSEDHa.Proportion of total SA1 area covered by Shrubs - Closed
Land cover Shrubs - Open DLC_SHRUBS_OPENHa.Proportion of total SA1 area covered by Shrubs - Open
Land cover Chenopod Shrubs - Open DLC_CHEN_OPENHa.Proportion of total SA1 area covered by Chenopod Shrubs - Open
Land cover Shrubs - Scattered DLC_SHRUB_SCATHa.Proportion of total SA1 area covered by Shrubs - Scattered
Land cover Shrubs - Sparse DLC_SHRUB_SPARSEHa.Proportion of total SA1 area covered by Shrubs - Sparse
Land cover Chenopod Shrubs - Sparse DLC_CHEN_SPARSEHa.Proportion of total SA1 area covered by Chenopod Shrubs - Sparse
Land cover Trees - Closed DLC_TREES_CLOSEDHa.Proportion of total SA1 area covered by Trees - Closed
Land cover Trees - Open DLC_TREES_OPENHa.Proportion of total SA1 area covered by Trees - Open
Land cover Trees - Scattered DLC_TREES_SCATHa.Proportion of total SA1 area covered by Trees - Scattered
Land cover Trees - Sparse DLC_TREES_SPARSEHa.Proportion of total SA1 area covered by Trees - Sparse
Land cover Built Up Areas DLC_BUILT_UP_AREASHa.Proportion of total SA1 area covered by Built Up Areas
Land coverUnallocatedDLC_UNALLOCATEDHa.Proportion of total SA1 area that was unable to be classified with Dynamic land cover raster data.

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