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(buildings and dwelling units were tracked separately). Single family homes and ohana units were readily identified in the RPT data. Multifamily housing required some additional steps. In cases where there were multiple records per TMK (as with condos), the records required consolidation to identify the total number of dwelling units per TMK. Separate analyses were performed for single family, multifamily, and commercial properties. In RPT data, housing units that are treated as commercial property (e.g., apartments and timeshares) were counted as residential only when the RPT data showed them as such. Once this basic processing was complete, Placeways used the RPT online tool, Google Street View, digital air photos and other tools to verify the number of existing units with the goal of establishing an accurate baseline and using the RPT database to its maximum extent. For the trend scenario, growth projections are provided by SMS, a Hawaii-based research and consulting company (see their report “General Plan Comprehensive Review Trends and Forecast Analysis Final Report (2015)”). These projections are broken out by 13 geographic areas called “forecast analysis zones” or FAZs (see Figure 1) and by use type (residential dwelling units and non-residential square feet). In order to add additional land use information to the allocation, the SMS forecasts were further broken down into four categories: single family dwelling units, multifamily dwelling units, commercial square feet, and industrial square feet. The ratio of single family to multifamily was found using the mean of the ratio from three dates in the recent past (2000, 2010, 2015) for which the ratio was known. This ratio was then applied to the combined residential allocation amounts to produce the single family/multifamily splits seen in Tables 1, 3, and 6. Similarly, growth amounts for non-residential development were developed as a single forecast and had to be split into amounts for commercial and industrial uses. The 2013 ACS Employment by Occupation Type data were used to identify the ratio of industrial employment to commercial employment and to produce the splits seen in Tables 2, 3, and 7. While this method assumes no change in the ratio of single family to multifamily units and commercial to industrial space, it reflects the recent development patterns in the Trend Scenario and can easily be adjusted for use in alternate scenarios. Trend Scenario and Land Use Allocation Technical Report 2