Definitions and Data

• Vacant lot: All the land which is subdivided for the use of residential, industrial and commercial purposes and suitable for development but with no permanent structures or any significant use.
• Lot produced: A lot is created or produced when land has been subdivided (constructed) with a separate title for the use of residential, industrial and commercial purposes and suitable for development.
• Lot consumed: A vacant lot for which a building approval have been issued by the relevant authority.
• Residential sectors: Developed and developing residential precincts identified based on their geographical locations.
• Vacant lot sales: The sales of all the vacant lots which is subdivided for the use of residential, industrial and commercial purposes.
• Residential use: All the land zoned Activity Centre (ACZ), General Residential (GRZ), Low Density Residential (LDRZ), Rural Living (RLZ), Township (TZ) and Mixed Use (MUZ) and subdivided for the use of residential purpose.
• Non-residential use: All the land zoned Industrial 1 (IN1Z), Commercial 1 (C1Z), and Commercial 2 (C2Z), and subdivided for the use of nonresidential purposes.
• Dwelling occupancy: Vacant lot being occupied by a building occupancy certificate by the relevant authority.
• Building permit: An official certificate of permission issued by local authorities to a builder to construct, enlarge or alter a building.

Data source – All maps, charts and tables in this report have been prepared by Walker Geospatial and Data Analysis. The base data for the maps, charts and tables originates from Wodonga Council's Pathway database and Geographic Information System (GIS) database. The data was analysed, relevant information extracted and merged between the two databases and presented.

Data analysis – This report has used a combination of statistical analysis and spatial analysis to reveal trends in land development activity on a location basis, to assist council and developers of where, and to what extent, activity is present, or the likelihood of future activity.

Data accuracy – Spatial and statistical data can contain inconsistencies or other anomalies due to the integrity of the base data. Data has been cross-referenced using aerial imagery and multiple data sets (where available) in order to minimise any statistical and geographic errors. As with all data analysis, there is always the possibility of inherent or operational errors. Efforts have been made to ensure consistency of data analysis in this report, however there are some known discrepancies between this and the previous reports due to external factors.