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1-4 I I I I I I I I I I I I I I I I I I I final results. Once collected, the information was carefully evaluated prior to its incorporation in the forecasts. Prior water resource plannin9 studies for the Rocky Mountain Front Range Region and individual data from supplier survey respondents provided a basis for consistency checks. This information was also used for making estimates where data voids could not be filled through primary data collection efforts. The synthesis of survey data was reviewed with respective suppliers to ensure that proper data sources were used. In some instances, a second round of interviews or contacts were made which resulted in different or more recent information. The information collection procedures and the population and water demand forecasting approaches were reviewed with the Advisory Committee at an early point. Finally, the completed demographic and water demand projections were distributed in draft form to each respective supplier for their review and comment. A number of water suppliers suggested changes and refinements in these draft forecasts which were then reviewed once again with affected water suppliers in the study area. This prolonged and extensive review process with study area water suppliers was considered worthwhile because the demand projections and supplier information base formed the foundation for subsequent regional water supply study tasks and activities. The demographic and water demand forecasting procedure is described in Section 1.4 of this report. The methods selected for the Regional Water Supply Study reflect a balance among approaches currently utilized by study area water suppliers, a need for consistency in this study, and techniques found to be most useful in similar water demand studies. Sections 1.5 and 1.6 present the demographic and water demand projections, respectively. The demographic forecasts in Section 1.5 comprise the principal influence on the demand forecasts developed in Section 1.6. Appendix I.A provides demographic and water demand forecasts for individual suppliers.