Transportation Statistical Data Development Report OKALOOSA-WALTON OUTLOOK 2035 LONG RANGE TRANSPORTATION PLAN

Transportation Statistical Data Development Report OKALOOSA-WALTON OUTLOOK 2035 LONG RANGE TRANSPORTATION PLAN Prepared for the Okaloosa-Walton Transportation Planning Organization and The Florida Department of Transportation, District Three Prepared by the West Florida Regional Planning Council Staff to the Okaloosa-Walton Transportation Planning Organization February 2011 This report was financed in part by the U.S. Department of Transportation, Federal Highway Administration, the Florida Department of Transportation, and local participating governments, in partial fulfillment of UPWP Work Task

Okaloosa-Walton Transportation Planning Organization Transportation Statistical Data Development and Review Report Prepared by the: West Florida Regional Planning Council Staff to the Okaloosa-Walton Transportation Planning Organization Contact information for the Okaloosa-Walton Transportation Planning Organization is as follows: Post Office Box 11399 or 4081 E. Olive Road, Suite A Pensacola, Florida Pensacola, Florida 32524-1399 32514 Telephone: Facsimile: (800) 226-8914 (850) 637-1923 (850) 332-7976 Prepared by: Christy R. Johnson AICP, Transportation Planner III E-mail: christy.johnson@wfrpc.org Okaloosa-Walton Data Report 2035 Plan Update

Table of Contents Chapter Page Number INTRODUCTION... 1 TRAFFIC ANALYSIS ZONE STRUCTURE... 5 TAZ Development Procedure... 5 TRAFFIC ANALYSIS ZONE (TAZ) DATA DEVELOPMENT... 7 Base Year Data Development... 9 Dwelling Units... 9 Population... 9 Employment... 9 Hotel/Motel Units... 10 School Enrollment... 10 Base Year Data Review... 10 Land Use Scenarios... 11 Trend Analysis 12 Compact Development (Infill Development)... 12 Forecast Years Data Development... 13 Housing Data... 13 Employment Data... 14 Population Data... 15 School Enrollment... 16 TRAFFIC ANALYSIS ZONE (TAZ) STATISTICAL DATA... 17 Okaloosa-Walton Data Report 2035 Plan Update ii

List of Figures and Tables Figures/Tables Page Number FIGURE 1 LONG RANGE TRANSPORTATION PLAN STATEWIDE LOCATION MAP... 3 FIGURE 2 LONG RANGE TRANSPORTATION PLAN AREA STUDY BOUNDARY... 4 TABLE 1 - FORECAST YEAR DWELLING UNIT PROJECTIONS BY UNIT TYPE BY LONG TRANSPORTATION PLAN STUDY AREA... 14 TABLE 2 - FORECAST YEAR EMPLOYMENT PROJECTIONS BY EMPLOYMENT TYPE BY LONG TRANSPORTATION PLAN STUDY AREA... 15 TABLE 3 - FORECAST YEAR POPULATION PROJECTIONS BY LONG RANGE TRANSPORTATION PLAN STUDY AREA... 15 TABLE 4 - FORECAST YEAR HOTEL/MOTEL PROJECTIONS BY LONG RANGE TRANSPORTATION PLAN STUDY AREA... 16 TABLE 5 - FORECAST SCHOOL ENROLLMENT PROJECTIONS BY LONG RANGE TRANSPORTATION PLAN STUDY AREA... 16 Okaloosa-Walton Data Report 2035 Plan Update iii

List of Appendices Appendix A. Appendix B. Appendix C. Appendix D. Appendix E. Appendix F. Appendix G. 2006 Base Year Data by Traffic Analysis Zone (TAZ) 2015 Data by Traffic Analysis Zone (TAZ) 2020 Data by Traffic Analysis Zone (TAZ) 2025 Data by Traffic Analysis Zone (TAZ) 2030 Data by Traffic Analysis Zone (TAZ) 2035 Data by Traffic Analysis Zone (TAZ) Traffic Analysis Zone (TAZ) Map Okaloosa-Walton Data Report 2035 Plan Update iv

INTRODUCTION The purpose of the Transportation Statistical Data Development Report is to provide a summary of the data compilation effort and to provide a review of the socioeconomic composition of Okaloosa and Walton Counties, in preparation for the Okaloosa-Walton Transportation Outlook 2035 Long Range Transportation Plan. Future performance of the regional transportation network is affected by the growth of population, households, employment, hotel-motel units and school enrollment. Land use and transportation are inextricably linked. Because of this direct relationship, it is important to assess the socioeconomic data projections in order to develop a clear understanding of the evolving travel patterns. Population and employment growth underscores the need for a wide array of transportation options. Therefore, a thorough understanding of the socioeconomic growth helps us determine how and where transportation investments should be leveraged over the next 20 years. Most of the information in this report is used as data input to the travel demand modeling process to forecast the transportation needs for the Okaloosa-Walton Transportation Planning Organization (TPO) through the year 2035. The socioeconomic data will be inputs to the Northwest Florida Regional Planning Model. The socioeconomic data set for the base year (2006) was prepared by the West Florida Regional Planning Council. All base year data for the Okaloosa-Walton 2035 Long Range Transportation Plan is based on conditions on the ground as of 2006. Forecast data for the years 2015, 2020, 2025, 2030 and 2035 are developed at the Traffic Analysis Zone (TAZ) level. A TAZ is a special area delineated by transportation planners for tabulating traffic-related data, especially journey-to-work and place-of-work statistics. The Northwest Florida Regional Planning Model will generate trips from each TAZ onto the highway network. This exercise will highlight roadway deficiencies expected in the forecast years. Highlighted deficiencies will be used to develop a list of needed transportation improvements. Okaloosa and Walton Counties serve as the geographical boundary that comprises the study area for the Transportation Outlook 2035 Long Range Transportation Plan. Okaloosa-Walton Data Report 2035 Plan Update

Okaloosa County extends from the Gulf of Mexico to the Alabama state line. As of the 2000 Census, the population was 170,498. The population estimate for the county is 196,237 people. Its county seat is Crestview. The county has a total area of 1,082 square miles, of which 936 square miles is land and 146 square miles is water. The county is home to three United States Air Force bases, Duke Field is in the north and Eglin AFB and Hurlburt Field are located in the south. There is also a base in the north, near Duke Field, for the 7th Special Forces Group, an operational unit of the United States Army Special Forces. Okaloosa County is the sole county in the Fort Walton Beach-Crestview-Destin Metropolitan Statistical Area. Incorporated cities and towns include the Town of Cinco Bayou, the City of Crestview, the City of Destin, the City of Fort Walton Beach, the City of Laurel Hill, the City of Mary Esther, the City of Niceville, the Town of Shalimar, and the City of Valparaiso. Walton County is bordered on the south by the Gulf of Mexico, the north by Alabama, the west by Okaloosa County and the Fort Walton Beach area and on the east by Bay County and Holmes County. Walton County is home to the highest point in Florida, Britton Hill, which is 345 feet above sea level. The county is 1,238 square miles and includes 180 square miles of water. More than 20 percent of Walton County s land area is part of Eglin Air Force Base. Choctawhatchee Bay is a notable water feature leading to the Gulf of Mexico. The City of DeFuniak Springs is the county seat. Two other incorporated cities located in Walton County are Freeport and Paxton. Figures 1 and 2 illustrate the study area s location in relationship to the state of Florida and to Okaloosa and Walton Counties. Okaloosa-Walton Data Report 2035 Plan Update 2

FIGURE 1 LONG RANGE TRANSPORTATION PLAN STATEWIDE LOCATION MAP Okaloosa-Walton Data Report 2035 Plan Update 3

FIGURE 2 LONG RANGE TRANSPORTATION PLAN AREA STUDY BOUNDARY Okaloosa-Walton Data Report 2035 Plan Update 4

TRAFFIC ANALYSIS ZONE STRUCTURE The Okaloosa-Walton 2035 Long Range Transportation Plan Update zonal structure consists of 351 Traffic Analysis Zones (TAZs). TAZs are geographic areas dividing the Okaloosa-Walton planning area into relatively similar areas of land use and land activity. TAZs represent the origins and destinations of travel within the planning area. TAZs are where trips begin and end. This section defines the purpose of TAZs and describes the process for defining traffic analysis zones in the urbanized area. The Traffic Analysis Zone maps for the Long Range Transportation Plan Study Area are included in the appendices. The purpose of TAZs is to provide for the collection and forecast of transportation related socioeconomic data at a geographic scale. This will accurately reflect traffic generation and loading onto the highway network. TAZs serve as the primary unit of analysis in the travel demand forecasting model (Northwest Florida Regional Planning Model). TAZ Development Procedure TAZs form the basis for all data collection and forecasts for this Long Range Transportation Plan. The Okaloosa-Walton zonal structure was carefully modeled to ensure compatibility between zones and the highway network and to ease the collection of categorization of data. The standardized procedure recommended by the Florida Department of Transportation (FDOT), and outlined in the following paragraphs, was employed in development of the Okaloosa-Walton Long Range Transportation Plan zonal structure. TAZ boundaries for the Long Range Transportation Plan are identified by first looking at the 2000 Census blocks for the planning area. TAZ boundaries conform to the census blocks, making is easier to categorize the socioeconomic data from the 2000 Census into zones. A census block is the smallest geographic unit used for tabulation of 100-percent data. Several blocks make up block groups, which make up census tracts. Census tracts represent the smallest territorial unit for which population data are available. Okaloosa-Walton Data Report 2035 Plan Update 5

TAZs can be further refined to improve the accuracy of the travel forecasting model by removing physical geography barriers that restrict travel from one geographic area to another. An example of a physical barrier is a body of water or wetland. After identifying the census block, aggregating to census tracts, and removing physical barriers, compatibility with the highway network is reviewed. A final subdivision of the zones is done to account for existing and planned transportation facilities and the highway network. The following guidelines were employed in developing traffic analysis zone for the long range transportation plan: The total number of TAZs is kept as few as possible in order to increase the accuracy in collection, disaggregation and forecast of socioeconomic data. TAZ boundaries are adjusted, where feasible, in order to maintain homogeneous land use within each zone. Efforts are made to balance the size of each TAZ, in terms of estimated trip generation, in order to accurately simulate vehicle trips on the highway network. In some cases, it is necessary for TAZs to be larger than the area delineated by the network. In these cases, zones are drawn using higher network facility types as the boundaries. In other words, it is more desirable to have a lower network facility type, such as a collector, cross a TAZ boundary than a higher one, such as an arterial. Odd shaped TAZs are avoided where possible. Elongated or irregular shapes will not simulate proper loading onto the highway network. In general, TAZs should be the shape of regular polygons. Okaloosa-Walton Data Report 2035 Plan Update 6

It is not uncommon to set aside a specific range of TAZ numbers for both TAZs and dummy zones for each county. This allows the model users to differentiate between counties. The TPO Staff created additional TAZs countywide for Okaloosa and Walton Counties. Okaloosa County TAZs are numbered 621-901, the created dummy TAZs are 902-940. The TAZs in Walton County are numbered 941-1010. TAZs 1011-1030 are dummy zones created in Walton County. TRAFFIC ANALYSIS ZONE (TAZ) DATA DEVELOPMENT The socioeconomic data presented in this report consists of five (5) basic variables: population, employment, dwelling units, hotel/motel units, and school enrollment. In this section, the purpose of the variables in zonal trip generation will be explained. The methodology used in developing the base year (2006) and forecast year (2035) data will also be explained. The Okaloosa-Walton data needs are established by the Florida Department of Transportation (FDOT) input requirements to the standard trip generation model (The Northwest Regional Planning Model). To run the model, three (3) data files are required to replicate 2006 base year trips and forecast future year trips. These files are: 1. ZONEDATA - Trip Production and attraction data, 2. SPECGEN- Special Generation data, and 3. INTEXT - Internal-External trip productions. The ZONEDATA files provide data necessary for the trip generation model to calculate the number of trips "produced" by each TAZ. Production data include TAZ population, dwelling units, hotel/motel units, and auto availability. The main sources of data for this file are the 2000 census, the University of Florida Bureau of Economic and Business Research (BEBR), and the Florida Department of Business Regulation. The number of trips "attracted" to each TAZ is computed by the trip generation model. Attraction data includes employment and school enrollment. The primary sources of data for this file are InfoUSA, and local school boards, as well as, local universities and community colleges. Special generators are input through the SPECGEN file. Special generators represent production Okaloosa-Walton Data Report 2035 Plan Update 7

or attraction data for particular land uses which have unusual trip making characteristics that are not reflected in the trip generation model. An example is Eglin Air Force Base. Finally, trip production data necessary to determine the number of trips originating inside the study area, with a designation outside the area, is referred to as Internal-External trip production (INTEXT). Each of the five (5) basic data variables contained in this report is defined below: 1. Population - Population categories include permanent year round residents living in single family or multi-family housing units, as defined below. 2. Dwelling Units - Dwelling unit categories include single and multi-family, year-round, and seasonal housing units. Single-family units are defined as detached one family homes; multi-family units are represented by two or more family structures and mobile homes. Mobile home dwelling units are included in this category because their trip making characteristics are very similar to multi-family units. The multi-family category also includes condominiums but not hotels and motels. Multi-family units are counted by family units not structures. 3. Employment - Employment categories include industrial, commercial, and service. Industrial employment generally includes manufacturing and construction activities. Commercial employment is represented by retail and wholesale product sales activities such as department store and grocery store employment. Service employment includes activities which are service oriented such as school and restaurant employment. Military employment is also included in the service category. All employment is located by place of work. 4. Hotel/Motel Units - This data variable includes nonpermanent resident housing units for transients. Units are counted by total number of rooms. 5. School Enrollment - This data variable includes public schools, senior colleges, vocational/technical, and private school enrollment that are assigned by school location. Okaloosa-Walton Data Report 8 2035 Plan Update

Base Year Data Development How the 2006 Base Year data for each socioeconomic variable was developed is explained in this section. It should be noted that 2000 Census data was utilized in development of the base year socioeconomic data. Dwelling Units Development of the 2006 Base Year single and multi-family estimated dwelling unit totals for each TAZ involved establishing a base from the 2000 Census data tracts. The number of building permits issued in each TAZ was then added to the 2000 Census data to obtain the number of dwelling units in each TAZ in 2006. In the Long Range Transportation Plan Study Area, dwelling unit totals for the 2006 base year were established at 79,109 single family units and 58,696 multi-family and mobile home units. For the purposes of this study, all condominium units are included in the multi-family category. Population Development of single family and multi-family 2006 Base Year population totals for each TAZ in the Long Range Transportation Plan Study Area was accomplished by using the 2000 Census Data and the 2006 base year dwelling units. Occupancy and persons per household rates from the 2000 Census for single family and multi-family dwelling units were determined for each zone. These rates were applied to the corresponding 2006 Base Year dwelling unit totals for each TAZ to derive the 2006 estimated population figures. The total population of the study area was 261,065 in 2006. Employment Employment data was obtained from InfoUSA and assigned to TAZs based on employer address. InfoUSA is proprietary database that provides spatially enabled employment data with information related to the classification and size of the business establishments. After the employment data was assigned, it was disaggregated into three employment categories commercial, service, and industrial. The disaggregation was accomplished by using Standard Industrial Classification Manual (1987) codes. The SIC codes are 01-39 for Industrial Employment, 50-59 for Commercial Employment, and 40-49 and 60-99 for Service Employment. Okaloosa-Walton Data Report 2035 Plan Update 9

In addition, several large employers were contacted directly to obtain their employment, including the Okaloosa County School Board, the Walton County School Board, and Northwest Florida State College. The local military bases and hospitals were also contacted about employment levels, as well as the large industrial employers in the Okaloosa and Walton Counties. Total 2006 employment was estimated to be 33,155 Commercial and 83,335 Service Employees. Industrial employment is estimated to be 13,220. Total 2006 estimated employment was 133,710 jobs. Hotel/Motel Units The data source for hotel/motel information is the Florida Department of Business Regulation and the Division of Hotels and Restaurants, which maintains an up-to-date file on hotels and motels. The file contains the address and number of units for each hotel/motel. This information was obtained and assigned to TAZs in order to generate 2006 base year totals. The total hotel/motel units were estimated to be 6,341 in 2006. School Enrollment The Okaloosa and Walton County School Boards were contacted to obtain the location and enrollment for each public school in the study area. The School Boards also had location information on private schools in the study area, and in some cases provided the enrollment. Private schools for which enrollment was not available were contacted directly for their enrollment numbers. The Northwest Florida State College was also contacted directly concerning enrollment levels. The total study area school enrollment in 2006 was estimated to be 57,543 students. Base Year Data Review The base year data was reviewed by the local planning agencies as part of the Land Use Subcommittee that also reviewed the Land Use Scenarios. The Land Use Subcommittee reviewed the base year data at its September 29, 2008, meeting and the TPO Staff noted areas where data assignments needed adjustments. The Okaloosa-Walton TPO Technical Coordinating Committee adopted the 2006 base year data on October 30, 2008, with a request that the methodology be explained. Okaloosa-Walton Data Report 2035 Plan Update 10

Land Use Scenarios A committee made up of local planners and FDOT, Eglin Air Force Base and Hurlburt Field representatives met with Transportation Planning Services, Inc., a sub consultant to the TPO and with TPO Staff four times over a period of six months. The purpose of the meetings was to develop a final data set for the forecast Year 2035. Two land use alternatives were set up and evaluated using the Urban Land Use Allocation Model. The committee reviewed the results. The Urban Land Use Allocation Model provides the TPO with a systematic approach that uses the most current land use information to generate the future year socioeconomic data. The model utilizes parcel-level land use data and converts that data to traffic zone based information about vacant land, densities and approved development. The purpose of the Urban Land Use Allocation Model is to automatically allocate future growth in the form of regional or county-wide population and employment control totals at the TAZ level, producing data files for input into the travel forecasting model. The first step in the land use scenario process involves the development of a Trend Scenario. The Trend Scenario illustrates the build-out potential of the region by 2035 based on existing land use policies and development patterns. It gives a frame of reference as to what development trends have been occurring in recent years. The trend was identified using information found in the property appraiser data for each county. Using the existing use code and effective year built information in the parcel data file for each county, the net increase in dwelling units and commercial square footage was identified for each traffic zone and used in establishing the historical trend regarding how growth has been geographically occurring in the study area. Working with the Land Use Subcommittee, a second land use alternative was developed and tested for the TPO study area. The second land use evaluated was the compact land use alternative, also known as the infill scenario. A detailed Land Use Alternative Technical Report will be included in the Okaloosa-Walton Transportation Outlook 2035 Long Range Transportation Plan. It was determined by the Land Use Subcommittee that Trend Scenario or Historical Trend alternative be used for the development of the 2035 Long Range Transportation Plan; the land use alternative used to forecast the 2035 land use data that is needed to run the traffic forecasting model. The Okaloosa-Walton Data Report 2035 Plan Update 11

Okaloosa-Walton TPO adopted the historical trend as the preferred Land Use Alternative for 2035 on February 17, 2011, by Resolution O-W 11-1. Historical Trend Analysis Using the parcel data and available current zoning information for Okaloosa and Walton Counties and municipalities and towns, a land use alternative was developed to reflect the historical growth patterns of the area. Designated wetlands and environmentally constrained areas were filtered out of the results. The most recent employment and resident population growth estimates expected as a result of the 2005 Base Realignment and Closure (BRAC) recommendation were used to increase the resident population by 14,006 in selected Traffic Analysis Zones within Eglin Air Force Base. In allocating growth 25 to 30 years into the future, it is not uncommon to have a situation where there is not enough vacant land to support the projected population or employment control totals. In those cases, agriculture is sometimes rezoned to increase the inventory of vacant buildable land. The following criteria is used to identify agricultural land that may be rezoned and developed: vacant parcels in the Urban Growth Boundary, within the water and sewer service area, non-agricultural adjoining land uses, within a major travel corridor, or a high growth area. The Future Land Use Map (FLUM) from the comprehensive plan for each county was used to identify parcels that are currently zoned agriculture or timberland but have a future land use that would allow those parcels to be rezoned in the future. Compact Development (Infill Development) This alternative is designed to create moderate density activity nodes that can be served by transportation and other infrastructure in a more efficient and cost effective manner. This alternative land use was created by increasing the density and intensity of use and creating a better job/housing mix of 40 and 60 percent, respectively in those areas. Okaloosa-Walton Data Report 2035 Plan Update 12

Forecast Years Data Development Once the preferred 2035 Land Use Alternative was agreed upon, interim projections from the Urban Land Use Allocation (ULAM) model could be generated. The ULAM provides the TPO with a systematic approach that uses the most current land use information to generate the future years socioeconomic data needed as input into the travel forecasting model. By improving the quality of the future year land use data, the TPO can help ensure that the travel projections uses in the development of the long range transportation plan accurately reflect the future transportation In addition to the 2035 data, the interim years selected from ULAM and designated in the Scope of Services were 2015, 2025 and 2030. The following are the data identified: Population, Dwelling Units, Employment, Hotel/Motel Units, and School Enrollment. Housing Data Each TAZ was reviewed, and the land uses, density and intensity levels, and number of developable acres were determined. Local Government Comprehensive Plans were used to determine the type and density of development allowed in each zone. A ratio between the 2006 base year housing data by type (single family or multi-family) and the total number of dwelling units developed a ratio between the total number of dwelling units and the number of single family, multi-family units, and mobile homes for each TAZ. This ratio was developed by taking, as an example, the 2006 base year number for single family dwelling units in a TAZ and dividing it by the total number of single family dwelling units for the study area within the county. This produces a ratio of dwelling units in the TAZ to total dwelling units. Once the ratio was determined for each TAZ, it was multiplied by the actual projected growth for single-family dwelling units, which was established by the dwelling units control totals. This number was then added back into the base year single-family dwelling unit number to determine the year 2006 single-family dwelling unit projection for the TAZ. Once this was complete, each TAZ was checked to ensure a reasonable number of dwelling units was assigned based on local comprehensive plans. This was done for each forecast year (2015, 2020, 2025, 2030 and 2035). Any adjustments, which were necessary, were done manually. In other words, if the methodology described above over or under assigned units to a particular zone, an appropriate number of units was subtracted out or added into the TAZ. The same number of units would then be added or subtracted from another TAZ where too many or too few units were assigned. Okaloosa-Walton Data Report 2035 Plan Update 13

Listed in Table 1 is the forecast year single and multi-family housing data for the Long Range Transportation Plan Study area. The projected number of single-family dwelling units in 2015 is less than the 2006 estimate of the number of units. This decrease can be attributed to an overall decline in the number of new units built from 2008-2010. The population is projected to increase over the study period, and thus increase the need for new single-family units but at a smaller percentage than was estimated in 2006. The region continues to struggle with the downturn in the economy. TABLE 1 - FORECAST YEAR DWELLING UNIT PROJECTIONS BY UNIT TYPE BY LONG RANGE TRANSPORTATION PLAN STUDY AREA Unit Type Base Year Forecast Year 2006 2015 2020 2025 2030 2035 Single Family 79,109 78,068 84,590 90,297 95,801 100,984 *Multi Family 58,696 60,732 64,580 68,086 71,347 74,571 * Multi Family Units include mobile home units. Trips associated with mobile home units is considered similar to trips associated with multi-family units. Employment Data The employment forecasts were developed using the same methodology as the housing forecasts. The TPO Staff began with the ratio of 2006 TAZ employment, by type (service, industrial, and commercial), to total study area employment by county. This ratio was then multiplied by the actual projected growth, which was established by the employment control totals. The outcome is then added back into the base year employment number to come up with the 2006 projections for each TAZ. Once the employment forecasts were developed, the TPO Staff checked each TAZ to ensure a reasonable amount of employment had been allocated to the zone. As with the dwelling unit forecasts, any adjustments, which were needed, were done manually. Okaloosa-Walton Data Report 2035 Plan Update 14

forecast years. Listed in Table 2 are the Long Range Transportation Plan Study Area employment data for the TABLE 2 - FORECAST YEAR EMPLOYMENT PROJECTIONS BY EMPLOYMENT TYPE BY LONG RANGE TRANSPORTATION PLAN STUDY AREA Employment Type Base Year Forecast Year 2006 2015 2020 2025 2030 2035 Industrial 13,220 13,805 14,895 15,949 16,931 17,888 Commercial 33,155 34,517 37,220 39,826 42,259 44,460 Service 87,335 90,731 97,611 104,245 110.432 116,376 Population Data The forecast year population data were developed by taking the total number of dwelling units in each TAZ for each forecast year and multiplying it by the vacancy rate, which determines the total number of occupied housing units in each TAZ. This number is then multiplied by the persons per household rate for each TAZ. The outcome is the estimated population by TAZ. The number of households is derived from the dwelling unit forecasts discussed previously and the vacancy rates are developed from the 2000 Census data. This method is used for each TAZ for each of the forecast years (2015, 2020, 2025, 2030 and 2035). This resulted in the population projections for the Long Range Transportation Plan Study Area shown in Table 3. TABLE 3 - FORECAST YEAR POPULATION PROJECTIONS BY LONG RANGE TRANSPORTATION PLAN STUDY AREA Population by Base Year Forecast Year Housing Type 2006 2015 2020 2025 2030 2035 Single Family 178,013 185,206 199,420 213,131 225,920 238,256 Multi-Family 83,052 87,184 94,359 101,285 107,751 114,136 Total 261,065 268,244 289,451 314,416 328,999 352,392 Okaloosa-Walton Data Report 2035 Plan Update 15

Hotel/Motel Units Table 4 shows the Hotel/Motel projections for the Long Range Transportation Plan Study Area. TABLE 4 - FORECAST YEAR HOTEL/MOTEL PROJECTIONS BY LONG RANGE TRANSPORTATION PLAN STUDY AREA Hotel/Motel Units Base Year Forecast Year 2006 2015 2020 2025 2030 2035 Number 6,341 15,993 17,332 18,491 19,584 20,663 School Enrollment School enrollment forecast year data were developed and manually allocated to each TAZ. The county school board was contacted directly and questioned about their anticipated growth in enrollment. Information concerning the location and enrollment of any new schools was also obtained from the school board. Northwest Florida State College was also contacted to determine forecast year enrollment levels. Listed in Table 5 is the forecast school enrollment for the Long Range Transportation Plan Study Area. The projected number of students in 2015 is less than the 2006 estimate of the number of enrolled students. This decrease can be attributed to an overall decline in population from 2008-2010. The population is projected to increase over the study period but at a smaller percentage than was estimated in 2006, and at a smaller rate than the population increase. The Okaloosa County School Board representative projected that the number of students would increase at a rate that is 25 percent less than the general increase in population. TABLE 5 - FORECAST SCHOOL ENROLLMENT PROJECTIONS BY LONG RANGE TRANSPORTATION PLAN STUDY AREA School Enrollment Number of Students Base Year Forecast Year 2006 2015 2020 2025 2030 2035 57,543 53,553 56,222 58,892 61,565 64,238 Okaloosa-Walton Data Report 2035 Plan Update 16

TRAFFIC ANALYSIS ZONE (TAZ) STATISTICAL DATA The tables in the appendices contain the 2006 base year and forecast 2015, 2020, 2025, 2030, and 2035 data sets. These are all inputs to the regional transportation model. It is emphasized that these data were developed for TPO transportation planning purposes. This information is not intended to be a land use plan for any part of the urban area. Okaloosa-Walton Data Report 2035 Plan Update 17

APPENDIX A 2006 BASE YEAR DATA BY TRAFFIC ANALYSIS ZONE (TAZ)

APPENDIX B 2015 DATA BY TRAFFIC ANALYSIS ZONE (TAZ)

APPENDIX C 2020 DATA BY TRAFFIC ANALYSIS ZONE (TAZ)

APPENDIX D 2025 DATA BY TRAFFIC ANALYSIS ZONE (TAZ)

APPENDIX E 2030 DATA BY TRAFFIC ANALYSIS ZONE (TAZ)

APPENDIX F 2035 DATA BY TRAFFIC ANALYSIS ZONE (TAZ)

APPENDIX G Traffic Analysis Zone (TAZ) Map