Winnetka Public Schools District 36 Demographic Study

Public Schools District 36 Demographic Study August 2016

Table of Contents Executive Summary 1 Introduction 2 Data 2 Assumptions 3 Methodology 5 References 6 Appendix A: Enrollment Forecasts 7 Appendix B: Population Forecasts 15 Appendix C: Population Pyramids 17 Appendix D: Additional Tables 21 Appendix E: Live Attend Analysis 24

Executive Summary 1. The resident total fertility rate for the Public Schools District over the life of the forecasts is below replacement level. (1.56 vs. the replacement level of 2.1) 2. Most in-migration to the district continues to occur in the 0-to-9 and 35-to-49 year old age groups. 3. The local 18-to-24 year old population continues to leave the district, going to college or moving to other urbanized areas. This population group accounts for the largest segment of the district s out-migration flow. 4. The primary factors causing the district's enrollment to decline over the next 10 years are the growing number of empty nest households, an insufficient existing homes sales market to maintain the current enrollment in the district, and a steady rate of in-migration of families. 5. Changes in year-to-year enrollment over the next 10 years will primarily be due to small cohorts entering and moving through the school system in conjunction with larger cohorts leaving the system. 6. The elementary enrollment will begin a slight decline after the 2021-22 school year. This will be due primarily to the fact that the rising 4 th grade cohorts will be greater than 175 students in size. 7. The median age of the population will increase from 42.7 in 2010 to 45.1 in 2025. 8. The rate, magnitude and price of existing home sales will become the increasingly dominant factor affecting the amount of population and enrollment change. 9. Total district enrollment is forecasted to decrease by 93 students, or -5.4%, between 2015-16 and 2020-21. Total enrollment will decline by 59 students, or -3.6%, from 2020-21 to 2025-26. 1 Revised: 08/04/2016

INTRODUCTION By demographic principle, distinctions are made between projections and forecasts. A projection extrapolates the past (and present) into the future with little or no attempt to take into account any factors that may impact the extrapolation (e.g., changes in fertility rates, housing patterns or migration patterns) while a forecast results when a projection is modified by reasoning to take into account the aforementioned factors. To maximize the use of this study as a planning tool, the ultimate goal is not simply to project the past into the future, but rather to assess various factors impact on the future. The future population and enrollment change of each school district is influenced by a variety of factors. Not all factors will influence the entire school district at the same level. Some may affect different areas at dissimilar magnitudes and rates causing changes at varying points of time within the same district. The forecaster s judgment, based on a thorough and intimate study of the district, has been used to modify the demographic trends and factors to more accurately predict likely changes. Therefore, strictly speaking, this study is a forecast, not a projection; and the amount of modification of the demographic trends varies between different areas of the district as well as within the timeframe of the forecast. To calculate population forecasts of any type, particularly for smaller populations such as a school district, realistic suppositions must be made as to what the future will bring in terms of age specific fertility rates and residents demographic behavior at certain points of the life course. The demographic history of the school district and its interplay with the social and economic history of the area is the starting point and basis of most of these suppositions particularly on key factors such as the age structure of the area. The unique nature of each district's and attendance area s demographic composition and rate of change over time must be assessed and understood to be factors throughout the life of the forecast series. Moreover, no two populations, particularly at the school district and attendance area level, have exactly the same characteristics. The manifest purpose of these forecasts is to ascertain the demographic factors that will ultimately influence the enrollment levels in the district s schools. There are of course, other non-demographic factors that affect enrollment levels over time. These factors include, but are not limited to transfer policies within the district; student transfers to and from neighboring districts; placement of special programs within school facilities that may serve students from outside the attendance area; state or federal mandates that dictate the movement of students from one facility to another (No Child Left Behind was an excellent example of this factor); the development of charter schools in the district; the prevalence of home schooling in the area; and the dynamics of local private schools. Unless the district specifically requests the calculation of forecasts that reflect the effects of changes in these non-demographic factors, their influences are held constant for the life of the forecasts. Again, the main function of these forecasts is to determine what impact demographic changes will have on future enrollment. It is quite possible to calculate special scenario forecasts to measure the impact of school policy modifications as well as planned economic and financial changes. However in this case the results of these population and enrollment forecasts are meant to represent the most likely scenario for changes over the next 10 years in the district and its attendance areas. The first part of the report will examine the assumptions made in calculating the population forecasts for the Public Schools. Since the results of the population forecasts drive the subsequent enrollment forecasts, the assumptions listed in this section are paramount to understanding the area s demographic dynamics. The remainder of the report is an explanation and analysis of the district's population forecasts and how they will shape the district's grade level enrollment forecasts. DATA The data used for the forecasts come from a variety of sources. The Public Schools provided enrollments by grade and attendance center for the school years 2011-2012 to 2015-16. Birth and death data for the years 2000 through 2013 were obtained from the Illinois Department of Health. The net migration values were calculated using Internal 2 Revised: 08/04/2016

Revenue Service migration reports for the years 2000 through 2012. The data used for the calculation of migration models came from the United States Bureau of the Census, 2005 to 2010, and the models were designed using demographic and economic factors. The base agesex population counts used are from the results of the 2010 Census. Recently the Census Bureau began releasing annual estimates of demographic variables at the block group and tract level from the American Community Survey (ACS). There has been wide scale reporting of these results in the national, state and local media. However, due to the methodological problems the Census Bureau is experiencing with their estimates derived from ACS data, particularly in areas with a population of less than 60,000, the results of the ACS are not used in these forecasts. For example, given the sampling framework used by the Census Bureau, each year only 120 of the over 4,000 current households in the district would have been included. For comparison 600 households in the district were included in the sample for the long form questionnaire in the 2000 Census. As a result of this small sample size, the ACS survey result from the last 5 years must be aggregated to produce the tract and block group estimates. To develop the population forecast models, past migration patterns, current age specific fertility patterns, the magnitude and dynamics of the gross migration, the age specific mortality trends, the distribution of the population by age and sex, the rate and type of existing housing unit sales, and future housing unit construction are considered to be primary variables. In addition, the change in household size relative to the age structure of the forecast area was addressed. While there was a slight drop in the average household size in the Public Schools as well as most other areas of the state during the previous 20 years, the rate of this decline has been forecasted to slow over the next ten years. ASSUMPTIONS For these forecasts, the mortality probabilities are held constant at the levels calculated for the year 2010. While the number of deaths in an area are impacted by and will change given the proportion of the local population over age 65, in the absence of an extraordinary event such as a natural disaster or a breakthrough in the treatment of heart disease, death rates rarely move rapidly in any direction, particularly at the school district or attendance area level. Thus, significant changes are not foreseen in district s mortality rates between now and the year 2025. Any increases forecasted in the number of deaths will be due primarily to the general aging of the district s population and specifically to the increase in the number of residents aged 65 and older. Similarly, fertility rates are assumed to stay fairly constant for the life of the forecasts. Like mortality rates, age specific fertility rates rarely change quickly or dramatically, particularly in small areas. Even with the recently reported rise in the fertility rates of the United States, overall fertility rates have stayed within a 10% range for most of the last 40 years. In fact, the vast majority of year to year change in an area s number of births is due to changes in the number of women in child bearing ages (particularly ages 20-29) rather than any fluctuation in an area s fertility rate. The total fertility rate (TFR), the average number of births a woman will have while living in the school district during her lifetime, is estimated to be 1.56 for the total district for the ten years of the population forecasts. A TFR of 2.1 births per woman is considered to be the theoretical replacement level of fertility necessary for a population to remain constant in the absence of inmigration. Therefore, in the absence of migration, fertility alone would be insufficient to maintain the current level of population and enrollment within the Public Schools over the course of the forecast period. A close examination of data for the Public Schools has shown the age specific pattern of net migration will be nearly constant throughout the life of the forecasts. While the number of in and out-migrants has changed in past years for the Public Schools(and will change again over the next 10 years), the basic age pattern of the migrants has stayed nearly the same over the last 30 years. Based on the analysis of data it is safe to assume this age specific migration trend will remain unchanged into the future. This pattern of migration shows most of the local out-migration occurring in the 18-to-24 year old age group as young adults leave the area to go to college or move to other urbanized areas. The second group of out-migrants is those householders aged 70 and older who are downsizing their residences. Most of the local in- 3 Revised: 08/04/2016

migration occurs in the 0-to-9 and 35-49 age groups (the bulk of the which come from areas within 75 miles of the Public Schools) primarily consisting of younger adults and their children. As the suburban Cook County area is not currently contemplating any major expansions or contractions, the forecasts also assume that the current economic, political, social, and environmental factors, as well as the transportation and public works infrastructure (with a few notable exceptions) of the Public Schools and its attendance areas will remain the same through the year 2025. Below is a list of assumptions and issues that are specific to the Public Schools. These issues have been used to modify the population forecast models to more accurately predict the impact of these factors on each area s population change. Specifically, the forecasts for the Public Schools assume that throughout the study period: a. There will be no short term economic recovery in the next 18 months and the national, state or regional economy does not go into deep recession at any time during the 10 years of the forecasts; (Deep recession is defined as four consecutive quarters where the GDP contracts greater than 1% per quarter) b. Interest rates have reached a historic low and will not fluctuate more than one percentage point in the short term; the interest rate for a 30 year fixed home mortgage stays below 5.0%; c. The rate of mortgage approval stays at 1999-2003 levels and lenders do not return to subprime mortgage practices; d. There are no additional restrictions placed on home mortgage lenders or additional bankruptcies of major credit providers; e. The rate of housing foreclosures does not exceed 125% of the 2005-2007 average of suburban Cook County for any year in the forecasts; f. All currently planned, platted, and approved housing developments are built out and completed by 2024. All housing units constructed are occupied by 2025; g. The unemployment rates for the suburban Cook County and the Chicago Metropolitan Area will remain below 7.0% for the 10 years of the forecasts; h. The rate of students transferring into and out of the Public Schools will remain at the 2011-12 to 2015-16 average; i. The School District will continue to experience between 150 and 200 existing home sales annually over the next 10 years. j. The inflation rate for gasoline will stay below 5% per year for the 10 years of the forecasts; k. There will be no building moratorium within the district; l. Businesses within the district and the Public Schools area will remain viable; m. The number of existing home sales in the district that are a result of distress sales (homes worth less than the current mortgage value) will not exceed 20% of total homes sales in the district for any given year; n. Housing turnover rates (sale of existing homes in the district) will remain at their current levels. The majority of existing home sales are made by home owners over the age of 60; o. Private school and home school attendance rates will remain constant; p. The rate of foreclosures for commercial property remains at the 2004-2008 average for suburban Cook County; If a major employer in the district or in the Greater Chicago Metropolitan Area closes, reduces or expands its operations, the population forecasts would need to be adjusted to reflect the changes brought about by the change in economic and employment conditions. The same holds true for any type of natural disaster, major change in the local infrastructure (e.g., highway construction, water and sewer expansion, changes in zoning regulations etc.), a further economic downturn, any additional weakness in the housing market or any instance or situation that causes rapid and dramatic population changes that could not be foreseen at the time the forecasts were calculated. The high proportion of high school graduates from the Public Schools that attend college or move to urban areas outside of the district for employment is a significant demographic factor. Their departure is a major reason for the extremely high outmigration in the 18 to 24 age group, and was taken into account when calculating these forecasts. The outmigration of graduating high school seniors is expected 4 Revised: 08/04/2016

to continue over the period of the forecasts and the rate of out-migration has been forecasted to remain the same over the life of the forecast series. Finally, all demographic trends (i.e., births, deaths, and migration) are assumed to be linear in nature and annualized over the forecast period. For example, if 1,000 births are forecasted for a 5-year period, an equal number, or proportion of the births are assumed to occur every year, 200 per year. Actual yearto-year variations do and will occur, but overall year to year trends are expected to be constant. METHODOLOGY The population forecasts presented in this report are the result of using the Cohort-Component Method of population forecasting (Siegel, and Swanson, 2004: 561-601) (Smith et. al. 2004). As stated in the INTRODUCTION, the difference between a projection and a forecast is in the use of explicit judgment based upon the unique features of the area under study. Strictly speaking, a cohort projection refers to the future population that would result from a mathematical extrapolation of historical trends. Conversely, a cohortcomponent forecast refers to the future population that is expected because of a studied and purposeful selection of the components of change (i.e., births, deaths, and migration) and forecast models are developed to measure the impact of these changes in each specific geographic area. Five sets of data are required to generate population and enrollment forecasts. These five data sets are: 1. a base-year population (here, the 2010 Census population for Public Schools and its attendance areas); 2. a set of age-specific fertility rates for the district to be used over the forecast period and its attendance areas; 3. a set of age-specific survival (mortality) rates for the district and its attendance areas; 4. a set of age-specific migration rates for the district and its attendance areas; and; 5. the historical enrollment figures by grade. The most significant and difficult aspect of producing enrollment forecasts is the generation of the population forecasts in which the school age population (and enrollment) is embedded. In turn, the most challenging aspect of generating the population forecasts is found in deriving the rates of change in fertility, mortality, and migration. From the standpoint of demographic analysis, the Public Schools is classified as a small area population (as compared to the population of the state of Illinois or to that of the United States). Small area population forecasts are more complicated to calculate because local variations in fertility, mortality, and migration may be more irregular than those at the regional, state or national scale. Especially challenging is the forecast of the migration rates for local areas, because changes in the area's socioeconomic characteristics can quickly change from past and current patterns (Peters and Larkin, 2002.) The population forecasts for Public Schools were calculated using a cohort-component method with the populations divided into male and female groups by five-year age cohorts that range from 0-to-4 years of age to 85 years of age and older (85+). Age- and sex-specific fertility, mortality, and migration models were constructed to specifically reflect the unique demographic characteristics of each of the attendance areas in the Public Schools. The enrollment forecasts were calculated using a modified average survivorship method. Average survivor rates (i.e., the proportion of students who progress from one grade level to the next given the average amount of net migration for that grade level) over the previous five years of year-to-year enrollment data were calculated for grades two through twelve. This procedure is used to identify specific grades where there are large numbers of students changing facilities for non-demographic factors, such as private school transfers or enrollment in special programs. The survivorship rates were modified or adjusted to reflect the average rate of forecasted in and out migration of 5-to-9, 10-to-14 and 15-to-17 year old cohorts to each of the attendance centers in Public Schools for the period 2010 to 2015. These survivorship rates then were adjusted to reflect the forecasted changes in age-specific migration the district should experience over the next five years. These modified survivorship rates were used to project the enrollment of grades 2 through 12 for the period 2015 to 2020. The survivorship rates were adjusted again for the period 2020 to 2025 to reflect the predicted changes in 5 Revised: 08/04/2016

the amount of age-specific migration in the district for the period. The forecasted enrollments for kindergarten and first grade are derived from the 5-to-9 year old population of the age-sex population forecast at the elementary attendance center district level. This procedure allows the changes in the incoming grade sizes to be factors of forecasted population change and not an extrapolation of previous class sizes. Given the potentially large amount of variation in Kindergarten enrollment due to parental choice, changes in the state's minimum age requirement, and differing district policies on allowing children to start Kindergarten early, first grade enrollment is deemed to be a more accurate and reliable starting point for the forecasts. (McKibben, 1996) The level of the accuracy for both the population and enrollment forecasts at the school district level is estimated to be ±2.0% for the life of the forecasts. REFERENCES McKibben, J. The Impact of Policy Changes on Forecasting for School Districts.Population Research and Policy Review, Vol. 15, No. 5-6, December 1996 McKibben, J., M. Gann, and K. Faust. The Baby Boomlet's Role in Future College Enrollment.American Demographics, June 1999. Peters, G. and R. Larkin Population Geography. 7 th Edition. Dubuque, IA: Kendall Hunt Publishing. 2002. Siegel, J. and D. Swanson The Methods and Materials of Demography: Second Edition, Academic Press: New York, New York. 2004. Smith, S., J. Tayman and D. Swanson State and Local Population Projections, Academic Press, New York, New York. 2001. 6 Revised: 08/04/2016

Appendix A: Enrollment Forecasts Public Schools: Total District Enrollment K 133 139 152 157 132 145 143 144 143 143 141 140 138 137 140 1 178 174 173 172 191 171 171 169 168 166 164 161 158 155 152 2 188 186 188 180 168 197 176 176 174 174 172 169 166 163 160 3 189 204 195 196 177 171 201 179 179 177 177 175 172 169 166 4 225 203 218 189 199 180 174 204 181 184 182 182 181 178 175 Total: K-4 913 906 926 894 867 864 865 872 845 844 836 827 815 802 793 5 201 223 204 224 201 203 184 177 208 186 190 187 187 186 183 6 203 217 226 215 217 207 209 190 182 216 193 198 194 194 193 Total:5-6 404 440 430 439 418 410 393 367 390 402 383 385 381 380 376 7 250 206 216 224 220 219 209 211 192 186 220 197 202 198 198 8 212 249 207 217 217 223 222 212 214 197 191 226 202 207 203 Total: 7-8 462 455 423 441 437 442 431 423 406 383 411 423 404 405 401 Total: K-8 1779 1801 1779 1774 1722 1716 1689 1662 1641 1629 1630 1635 1600 1587 1570 Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years Total: K-8 1779 1801 1779 1774 1722 1716 1689 1662 1641 1629 1630 1635 1600 1587 1570 Change 22-22 -5-52 -6-27 -27-21 -12 1 5-35 -13-17 %-Change 1.2% -1.2% -0.3% -2.9% -0.3% -1.6% -1.6% -1.3% -0.7% 0.1% 0.3% -2.1% -0.8% -1.1% Total: K-4 913 906 926 894 867 864 865 872 845 844 836 827 815 802 793 Change -7 20-32 -27-3 1 7-27 -1-8 -9-12 -13-9 %-Change -0.8% 2.2% -3.5% -3.0% -0.3% 0.1% 0.8% -3.1% -0.1% -0.9% -1.1% -1.5% -1.6% -1.1% Total: 5-6 404 440 430 439 418 410 393 367 390 402 383 385 381 380 376 Change 36-10 9-21 -8-17 -26 23 12-19 2-4 -1-4 %-Change 8.9% -2.3% 2.1% -4.8% -1.9% -4.1% -6.6% 6.3% 3.1% -4.7% 0.5% -1.0% -0.3% -1.1% Total: 7-8 462 455 423 441 437 442 431 423 406 383 411 423 404 405 401 Change -7-32 18-4 5-11 -8-17 -23 28 12-19 1-4 %-Change -1.5% -7.0% 4.3% -0.9% 1.1% -2.5% -1.9% -4.0% -5.7% 7.3% 2.9% -4.5% 0.2% -1.0% Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years 7 Revised: 08/04/2016

Public Schools: Total District Enrollment 2000 1800 1600 1400 1200 1000 800 Public Schools: Total District Enrollment 600 400 200 0 Public Schools: K-4th Enrollment 1000 900 800 700 600 500 400 Public Schools: K-4th Enrollment 300 200 100 0 8 Revised: 08/04/2016

450 Public Schools: 5-6th Enrollment 400 350 300 250 200 Public Schools: 5-6th Enrollment 150 100 50 0 Public Schools: 7-8th Enrollment 500 450 400 350 300 250 200 Public Schools: 7-8th Enrollment 150 100 50 0 9 Revised: 08/04/2016

K 52 62 72 78 59 67 67 68 68 68 67 66 65 64 65 1 74 67 70 77 91 73 74 74 75 75 74 73 72 71 70 2 63 76 75 74 77 95 76 77 77 77 77 75 74 73 72 3 73 68 80 79 76 81 100 80 81 79 79 79 77 76 75 4 80 75 73 77 82 78 83 103 82 84 82 82 82 80 79 Total: K-4 342 348 370 385 385 394 400 402 383 383 379 375 370 364 361 Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years Crow Island Elementary Total: K-4 342 348 370 385 385 394 400 402 383 383 379 375 370 364 361 Change 6 22 15 0 9 6 2-19 0-4 -4-5 -6-3 % Change 1.8% 6.3% 4.1% 0.0% 2.3% 1.5% 0.5% -4.7% 0.0% -1.0% -1.1% -1.3% -1.6% -0.8% Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years Crow Island Elementary 450 400 350 300 250 200 150 Crow Island Elementary 100 50 0 10 Revised: 08/04/2016

K 53 34 41 47 34 43 42 42 41 41 40 40 40 40 41 1 53 64 49 48 58 52 52 51 50 49 48 47 46 45 44 2 49 59 64 48 44 59 53 53 52 52 51 50 49 48 47 3 50 59 60 65 43 42 57 51 51 51 51 50 49 48 47 4 74 55 65 58 62 42 41 55 49 50 50 50 50 49 48 Total: K-4 279 271 279 266 241 238 245 252 243 243 240 237 234 230 227 Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years Greeley Elementary Total: K-4 279 271 279 266 241 238 245 252 243 243 240 237 234 230 227 Change -8 8-13 -25-3 7 7-9 0-3 -3-3 -4-3 % Change -2.9% 3.0% -4.7% -9.4% -1.2% 2.9% 2.9% -3.6% 0.0% -1.2% -1.3% -1.3% -1.7% -1.3% Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years Greeley Elementary 300 250 200 150 100 Greeley Elementary 50 0 11 Revised: 08/04/2016

K 28 43 39 32 39 35 34 34 34 34 34 34 33 33 34 1 51 43 54 47 42 46 45 44 43 42 42 41 40 39 38 2 76 51 49 58 47 43 47 46 45 45 44 44 43 42 41 3 66 77 55 52 58 48 44 48 47 47 47 46 46 45 44 4 71 73 80 54 55 60 50 46 50 50 50 50 49 49 48 Total: K-4 292 287 277 243 241 232 220 218 219 218 217 215 211 208 205 Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years Hubbard Woods Elementary Total: K-4 292 287 277 243 241 232 220 218 219 218 217 215 211 208 205 Change -5-10 -34-2 -9-12 -2 1-1 -1-2 -4-3 -3 % Change -1.7% -3.5% -12.3% -0.8% -3.7% -5.2% -0.9% 0.5% -0.5% -0.5% -0.9% -1.9% -1.4% -1.4% Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years Hubbard Woods Elementary 300 250 200 150 100 Hubbard Woods Elementary 50 0 12 Revised: 08/04/2016

5 201 223 204 224 201 203 184 177 208 186 190 187 187 186 183 6 203 217 226 215 217 207 209 190 182 216 193 198 194 194 193 Total: 5-6 404 440 430 439 418 410 393 367 390 402 383 385 381 380 376 Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years The School Total: 5-6 404 440 430 439 418 410 393 367 390 402 383 385 381 380 376 Change 36-10 9-21 -8-17 -26 23 12-19 2-4 -1-4 % Change 8.9% -2.3% 2.1% -4.8% -1.9% -4.1% -6.6% 6.3% 3.1% -4.7% 0.5% -1.0% -0.3% -1.1% Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years The School 450 400 350 300 250 200 150 The School 100 50 0 13 Revised: 08/04/2016

7 250 206 216 224 220 219 209 211 192 186 220 197 202 198 198 8 212 249 207 217 217 223 222 212 214 197 191 226 202 207 203 Total: 7-8 462 455 423 441 437 442 431 423 406 383 411 423 404 405 401 Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years Washburne Middle School Total: 7-8 462 455 423 441 437 442 431 423 406 383 411 423 404 405 401 Change -7-32 18-4 5-11 -8-17 -23 28 12-19 1-4 % Change -1.5% -7.0% 4.3% -0.9% 1.1% -2.5% -1.9% -4.0% -5.7% 7.3% 2.9% -4.5% 0.2% -1.0% Forecasts Developed July 2016 Green Cells (2015-16 and earlier) are historical data Blue Cells (2016-17 and later) are forcasted years Washburne Middle School 500 450 400 350 300 250 200 150 Washburne Middle School 100 50 0 14 Revised: 08/04/2016

Appendix B: Population Forecasts Public Schools: Total Population Males 2010 2015 2020 2025 Females 2010 2015 2020 2025 Total 2010 2015 2020 2025 0-4 323 300 310 260 0-4 327 300 310 260 0-4 650 600 620 520 Births 240 240 240 5-9 601 550 540 520 5-9 549 560 540 520 5-9 1,150 1,110 1,080 1,040 Deaths 450 460 450 10-14 746 630 580 570 10-14 670 580 580 560 10-14 1,416 1,210 1,160 1,130 Natural Increase -210-220 -210 15-19 559 650 540 510 15-19 518 580 480 500 15-19 1,077 1,230 1,020 1,010 Net Migration 150 150 130 20-24 144 160 200 170 20-24 127 120 130 120 20-24 271 280 330 290 Change -60-70 -80 25-29 95 90 120 160 25-29 76 80 80 80 25-29 171 170 200 240 30-34 92 140 140 170 30-34 108 110 120 120 30-34 200 250 260 290 35-39 203 230 280 260 35-39 276 250 250 240 35-39 479 480 530 500 40-44 426 320 350 380 40-44 490 400 370 360 40-44 916 720 720 740 45-49 554 480 400 400 45-49 618 550 470 430 45-49 1,172 1,030 870 830 50-54 535 550 480 400 50-54 554 610 550 470 50-54 1,089 1,160 1,030 870 55-59 453 510 530 450 55-59 469 550 600 530 55-59 922 1,060 1,130 980 60-64 361 380 470 480 60-64 329 410 500 560 60-64 690 790 970 1,040 65-69 237 300 320 390 65-69 247 270 350 440 65-69 484 570 670 830 70-74 152 170 220 250 70-74 197 190 220 290 70-74 349 360 440 540 75-79 148 80 100 140 75-79 196 130 130 160 75-79 344 210 230 300 80-84 118 90 40 60 80-84 132 150 90 90 80-84 250 240 130 150 85+ 69 90 110 70 85+ 111 150 190 180 85+ 180 240 300 250 Total 5,816 5,720 5,730 5,640 Total 5,994 5,990 5,960 5,910 Total 11,810 11,710 11,690 11,550 Median Age 42.7 43.6 44.5 45.1 2010 to 2015 2015 to 2020 2020 to 2025 Differences between period Totals may not equal Change due to rounding. Crow Island Elementary School Males 2010 2015 2020 2025 Females 2010 2015 2020 2025 Total 2010 2015 2020 2025 0-4 141 130 150 120 0-4 147 130 150 120 0-4 288 260 300 240 Births 110 100 100 5-9 227 240 240 230 5-9 206 240 240 230 5-9 433 480 480 460 Deaths 160 160 160 10-14 284 240 250 250 10-14 254 220 250 250 10-14 538 460 500 500 Natural Increase -50-60 -60 15-19 225 250 200 220 15-19 198 220 180 220 15-19 423 470 380 440 Net Migration 60 60 50 20-24 59 70 70 70 20-24 58 50 40 50 20-24 117 120 110 120 Change 10 0-10 25-29 27 40 60 50 25-29 31 40 30 20 25-29 58 80 90 70 30-34 43 50 60 80 30-34 54 50 60 50 30-34 97 100 120 130 35-39 80 90 100 100 35-39 103 100 100 100 35-39 183 190 200 200 40-44 160 120 130 130 40-44 184 140 140 130 40-44 344 260 270 260 45-49 220 180 140 140 45-49 245 210 160 160 45-49 465 390 300 300 50-54 211 220 180 140 50-54 213 240 210 160 50-54 424 460 390 300 55-59 168 200 210 170 55-59 172 210 240 200 55-59 340 410 450 370 60-64 134 140 180 190 60-64 123 150 190 220 60-64 257 290 370 410 65-69 79 110 120 150 65-69 96 100 130 160 65-69 175 210 250 310 70-74 51 50 80 90 70-74 76 70 80 100 70-74 127 120 160 190 75-79 60 20 30 50 75-79 71 50 50 60 75-79 131 70 80 110 80-84 43 30 10 10 80-84 45 50 30 30 80-84 88 80 40 40 85+ 21 30 40 20 85+ 33 50 60 60 85+ 54 80 100 80 Total 2,233 2,210 2,250 2,210 Total 2,309 2,320 2,340 2,320 Total 4,542 4,530 4,590 4,530 Median Age 41.9 42.0 42.1 42.0 2010 to 2015 2015 to 2020 2020 to 2025 Differences between period Totals may not equal Change due to rounding. 15 Revised: 08/04/2016

Greeley Elementary School Males 2010 2015 2020 2025 Females 2010 2015 2020 2025 Total 2010 2015 2020 2025 2010 to 2015 to 2020 to 2015 2020 2025 0-4 141 130 150 120 0-4 147 130 150 120 0-4 288 260 300 240 Births 110 100 100 5-9 227 240 240 230 5-9 206 240 240 230 5-9 433 480 480 460 Deaths 160 160 160 10-14 284 240 250 250 10-14 254 220 250 250 10-14 538 460 500 500 Natural Increase -50-60 -60 15-19 225 250 200 220 15-19 198 220 180 220 15-19 423 470 380 440 Net Migration 60 60 50 20-24 59 70 70 70 20-24 58 50 40 50 20-24 117 120 110 120 Change 10 0-10 25-29 27 40 60 50 25-29 31 40 30 20 25-29 58 80 90 70 30-34 43 50 60 80 30-34 54 50 60 50 30-34 97 100 120 130 35-39 80 90 100 100 35-39 103 100 100 100 35-39 183 190 200 200 40-44 160 120 130 130 40-44 184 140 140 130 40-44 344 260 270 260 45-49 220 180 140 140 45-49 245 210 160 160 45-49 465 390 300 300 50-54 211 220 180 140 50-54 213 240 210 160 50-54 424 460 390 300 55-59 168 200 210 170 55-59 172 210 240 200 55-59 340 410 450 370 60-64 134 140 180 190 60-64 123 150 190 220 60-64 257 290 370 410 65-69 79 110 120 150 65-69 96 100 130 160 65-69 175 210 250 310 70-74 51 50 80 90 70-74 76 70 80 100 70-74 127 120 160 190 75-79 60 20 30 50 75-79 71 50 50 60 75-79 131 70 80 110 80-84 43 30 10 10 80-84 45 50 30 30 80-84 88 80 40 40 85+ 21 30 40 20 85+ 33 50 60 60 85+ 54 80 100 80 Total 2,233 2,210 2,250 2,210 Total 2,309 2,320 2,340 2,320 Total 4,542 4,530 4,590 4,530 Median Age 41.9 42.0 42.1 42.0 Differences between period Totals may not equal Change due to rounding. Hubbard Woods Elementary School Males 2010 2015 2020 2025 Females 2010 2015 2020 2025 Total 2010 2015 2020 2025 0-4 98 90 80 70 0-4 91 90 80 70 0-4 189 180 160 140 Births 80 80 70 5-9 218 180 170 160 5-9 202 180 170 160 5-9 420 360 340 320 Deaths 170 170 160 10-14 265 230 190 180 10-14 231 210 190 180 10-14 496 440 380 360 Natural Increase -90-90 -90 15-19 182 230 200 170 15-19 170 200 180 160 15-19 352 430 380 330 Net Migration 50 50 40 20-24 50 50 70 60 20-24 38 30 40 50 20-24 88 80 110 110 Change -40-40 -50 25-29 43 30 30 60 25-29 36 20 20 20 25-29 79 50 50 80 30-34 31 50 40 40 30-34 26 40 30 20 30-34 57 90 70 60 35-39 60 80 100 80 35-39 101 80 90 70 35-39 161 160 190 150 40-44 162 110 130 140 40-44 174 160 130 130 40-44 336 270 260 270 45-49 176 180 150 160 45-49 204 190 190 150 45-49 380 370 340 310 50-54 179 170 180 150 50-54 182 200 190 190 50-54 361 370 370 340 55-59 167 170 170 170 55-59 161 180 200 190 55-59 328 350 370 360 60-64 122 140 170 160 60-64 109 140 170 190 60-64 231 280 340 350 65-69 94 100 120 140 65-69 85 90 120 160 65-69 179 190 240 300 70-74 51 70 70 100 70-74 70 70 70 100 70-74 121 140 140 200 75-79 54 30 40 50 75-79 71 50 50 50 75-79 125 80 90 100 80-84 40 30 10 30 80-84 61 50 30 30 80-84 101 80 40 60 85+ 36 40 40 20 85+ 51 70 80 70 85+ 87 110 120 90 Total 2,028 1,980 1,960 1,940 Total 2,063 2,050 2,030 1,990 Total 4,091 4,030 3,990 3,930 Median Age 43.0 44.2 45.8 47.3 2010 to 2015 2015 to 2020 2020 to 2025 Differences between period Totals may not equal Change due to rounding. 16 Revised: 08/04/2016

Appendix C: Population Pyramids Public Schools Total Population 2010 Census 85+ 80-84 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10-14 5-9 0-4 1,000 500 0 500 1,000 Males Females 17 Revised: 08/04/2016

Crow Island Elementary School Total Population 2010 Census 85+ 80-84 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10-14 5-9 0-4 300 150 0 150 300 Males Females 18 Revised: 08/04/2016

Greeley Elementary School Total Population 2010 Census 85+ 80-84 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10-14 5-9 0-4 300 150 0 150 300 Males Females 19 Revised: 08/04/2016

Hubbard Woods Elementary School Total Population 2010 Census 85+ 80-84 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10-14 5-9 0-4 300 150 0 150 300 Males Females 20 Revised: 08/04/2016

Appendix D: Additional Tables Table 1: Forecasted Elementary Area Population Change, 2010 to 2020 2010-2015 2015-2020 2010-2020 2010 2015 Change 2020 Change Change Crow Island 4,542 4,530-0.3% 4,590 1.3% 1.1% Greeley 3,177 3,150-0.9% 3,110-1.3% -2.1% Hubbard Woods 4,091 4,030-1.5% 3,990-1.0% -2.5% District Total 11,810 11,710-0.9% 11,690-0.2% -1.0% Table 2: Household Characteristics by Elementary Area, 2010 Census HH w/ Pop Under 18 % HH w/ Pop Under 18 Total Households Household Population Persons Per Household Crow Island 720 47.7% 1508 4538 3.01 Greeley 496 46.8% 1059 3177 3.00 Hubbard Woods 615 44.1% 1396 4091 2.93 District Total 1831 46.2% 3963 11806 2.98 Table 3: Householder Characteristics by Elementary Area, 2010 Census Percentage of Percentage of Percentage of Householders aged Householders Who Householders aged 65+ 35-54 Own Homes Crow Island 48.6% 24.5% 88.7% Greeley 48.4% 25.4% 93.1% Hubbard Woods 45.3% 28.5% 88.2% District Total 47.4% 26.2% 89.7% 21 Revised: 08/04/2016

Table 4: Percentage of Households that are Single Person Households and Single Person Households that are over age 65 by Elementary Area, 2010 Census Percentage of Single Person Households Percentage of Single Person Households and are 65+ Crow Island 16.0% 8.3% Greeley 15.7% 9.0% Hubbard Woods 19.3% 10.7% District Total 17.1% 9.3% Table 5: Total Elementary (K to 4) Enrollment, 2011, 2015, 2020 2010-2015 2015-2010-2020 2010 2015 2020 Change 2020 Change Crow Island 385 383-0.5% 361-5.7% -6.2% Greeley 241 243 0.8% 227-6.6% -5.8% Hubbard Woods 241 218-9.5% 205-6.0% -14.9% District Total 867 844-2.7% 793-6.0% -8.5% Table 6: Age Under One to Age Ten Population Counts, by Year of Age, by Elementary Area: 2010 Census Under 1 year 1 year 2 years 3 years 4 years 5 years 6 years 7 years 8 years 9 years 10 years Crow Island 42 47 60 70 69 74 81 91 85 102 116 Greeley 22 31 31 43 46 52 60 65 68 52 66 Hubbard Woods 18 34 37 55 45 69 81 82 94 94 95 District Total 82 112 128 168 160 195 222 238 247 248 277 22 Revised: 08/04/2016

Table 7: Comparison of District Enrollment by Grade with 2010 Census Counts by Age, 2010-2015 2010 Census Under 1 year 1 year 2 years 3 years 4 years 5 years 6 years 7 years 8 years 9 years 10 years 11 years 12 years Public Schools Total: 82 112 128 168 160 195 222 238 247 248 277 287 266 2015 Enrollment 132 191 168 177 199 201 217 220 217 160.98% 170.54% 131.25% 105.36% 124.38% 103.08% 97.75% 92.44% 87.85% 2014 Enrollment 157 172 180 196 189 224 215 224 217 140.18% 134.38% 107.14% 122.50% 96.92% 100.90% 90.34% 90.69% 87.50% 2013 Enrollment 152 173 188 195 218 204 226 216 207 118.75% 102.98% 117.50% 100.00% 98.20% 85.71% 91.50% 87.10% 74.73% 2012 Enrollment 139 174 186 204 203 223 217 206 249 82.74% 108.75% 95.38% 91.89% 85.29% 90.28% 87.50% 74.37% 86.76% 2011 Enrollment 133 178 188 189 225 201 203 250 212 83.13% 91.28% 84.68% 79.41% 91.09% 81.05% 73.29% 87.11% 79.70% 23 Revised: 08/04/2016

Appendix E: Live Attend Analysis This map series focuses on illustrating the geographic distribution of the Public Schools 2015-16 students in relation to school attendance boundaries. Below is an example of a map from this series. Basic Map Elements The legend explains how different features are represented, either by a point (e.g. schools and students), or by an area/polygon (e.g. attendance boundaries). The scale bar references the distance ratio of the map in relation to the real world. Please note that each white dot represents a student s address, at which, multiple students could reside. Therefore, counting the number of dots shown on the map might not reflect the student population accurately. 24 Revised: 08/04/2016

Live-Attend Tables Each map has a table listing various statistics about the student data in this region. Here is a guide for reading this table: Crow Island Total Enrollment 386 Out of District 5 Unmatched 1 Total Live-In (K-4th) 378 Live and Attend In 376 Live Out, Attend In 10 Live In, Attend Out 2 Total Enrollment the number of students attending Crow Island ES. Out of District the number of students who live outside of the Public Schools boundary, yet attend this school. Unmatched the number of students attending Crow Island ES whose addresses were not located by the GIS. Total Live-In number of students who live within the school s attendance boundary, who are in the K-4th grade cohort. The total-live in statistic here indicates there are 378 K-4th grade students living within the Crow Island ES attendance boundary. Live and Attend In number of K-4th students who live within the attendance boundary, and also attend that school. In this example, 376 K-4th grade students who live within the Crow Island ES attendance boundary also attend Crow Island ES. Live Out, Attend In number of K-4th students who live outside of the Crow Island ES attendance boundary, but attend Crow Island ES. Live In, Attend Out number of K-4th students who live inside the Crow Island ES attendance boundary, yet attend a different elementary school. 25 Revised: 08/04/2016

Live Attend Matrix The table below gives details on the schools that students attend and the school zones where they live. The schools of attendance are listed on the left while the districts where students live are listed on the top line. The numbers highlighted in green are counts of students who attend the assigned schools for the zones where they live. Where K-4 Students Attend 378 236 246 8 1 Crow Island 386 376 1 3 5 1 10 Greeley School 237 1 233 3 4 Hubbard Woods 246 1 2 243 3 Where K-4 Students Live Crow Island Greeley Hubbard Woods Out of District Unmatched Live Out Attend In Live In Attend Out 2 3 3 26 Revised: 08/04/2016

Michigan Smith High Brier 94 Parking Lot Old Alice Riverside Grove Skok Stockton Elm Central Northfield Prairie Public Schools District 36, IL Crow Island ES 2015-16 Students Live Attend Analysis ie Creek Happ Arbor Exit 33A Orchard Holder Forestway Exit 33B Crestwood Harding Arbor Linder Tree Heather Lockwood Bluff 94 Ivy Heather 94 Walnut Sko k i e C r eek Latrobe Forest Lagoon Grove Country Hickory Sumac 0 0.125 0.25 0.5 Miles Drexel Harding Asbury Boal Data Sources: Public Schools, ESRI Cartographer: ADD, July 2016. Lagoon Drexel Greenwood Adams Jefferson Monroe Edgewood Scott Madison Vernon Randolph dale Jackson Trapp Tower Carleton Washburne School The School River Woodlawn Bell Sunview Holly Hackberry Hibbard Lake Forest Glen Hibbard Lake Kent Auburn ^_ Euclid Spruce wood Westview Fairview Monroe Berkeley Euclid Spring Harbor ley Palos Mary Chatfield Westmoor Apple Tree #* Gordon Tower Laurel Ardsley Burr Wentworth Gage Old Hubbard Woods Elementary School Rosewood Vine Walden Cherry Provident Foxdale Elm Crow Island Elementary School De Windt Woodley Lapier Woodlawn Glenwood Merril Keystone Rosewood Evergreen Hubbard Dinsmore Starr Thorntree Whitebridge Crescent White Blackthorn 27 Fox Fisher Ravine Eldorado Private Birch Dwyer Higginson Lamson Summit Chestnut Bryant Mount Pleasant Alles Lloyd Indian Lloyd Prospect Ridge Golf Humboldt 4 P Arbor Vitae Forest ine Maple Park Cedar Elder Sheridan Garland Spruce Wilson Church Church Walnut Briar Poplar Hawthorn Elder Myrtle Hoyt Orchard Legend Fairview Bertling Crow Island ES Students 2015-16 School Type K-4 #* 5-6 ^_ 7-8 ES Zone Crow Island Greeley Hubbard Woods Lake Michigan Samuel Greeley Elementary School Woodland Crow Island Total Enrollment 386 Out of District 5 Unmatched 1 Total Live-In (K-4th) 378 Live and Attend In 376 Live Out, Attend In 10 Live In, Attend Out 2 Essex Essex Warwick Sheridan Warwick Fuller Roslyn Melrose Kenilworth Ditch Devonshire

Michigan Smith High Brier 94 Parking Lot Old Alice Riverside Grove Skok Stockton Elm Central Northfield Prairie Public Schools District 36, IL Greeley ES 2015-16 Students Live Attend Analysis ie Creek Happ Arbor Exit 33A Orchard Holder Forestway Exit 33B Crestwood Harding Arbor Linder Tree Heather Lockwood Bluff 94 Ivy Heather 94 Walnut Sko k i e C r eek Latrobe Forest Lagoon Grove Country Hickory Sumac 0 0.125 0.25 0.5 Miles Drexel Harding Asbury Boal Data Sources: Public Schools, ESRI Cartographer: ADD, July 2016. Lagoon Drexel Greenwood Adams Jefferson Monroe Edgewood Scott Madison Vernon Randolph dale Jackson Trapp Tower Carleton Washburne School The School River Woodlawn Bell Sunview Holly Hackberry Hibbard Lake Forest Glen Hibbard Lake Kent Auburn ^_ Euclid Spruce wood Westview Fairview Monroe Berkeley Euclid Spring Harbor ley Palos Mary Chatfield Westmoor Apple Tree #* Gordon Tower Laurel Ardsley Burr Wentworth Gage Old Hubbard Woods Elementary School Rosewood Vine Walden Cherry Provident Foxdale Elm Crow Island Elementary School De Windt Woodley Lapier Woodlawn Glenwood Merril Keystone Rosewood Evergreen Hubbard Dinsmore Starr Thorntree Whitebridge Crescent White Blackthorn 28 Fox Fisher Ravine Eldorado Private Birch Dwyer Higginson Lamson Summit Chestnut Bryant Mount Pleasant Alles Lloyd Indian Lloyd Prospect Ridge Golf Humboldt P Arbor Vitae Forest ine Maple Park Cedar Elder Sheridan Garland 4 Spruce Wilson Church Church Walnut Briar Poplar Hawthorn Elder Myrtle Hoyt Orchard Fairview Legend Bertling Lake Michigan Samuel Greeley Elementary School Woodland Greeley ES Students 2015-16 School Type K-4 #* 5-6 ^_ 7-8 ES Zone Crow Island Greeley Hubbard Woods Greeley School Total Enrollment 237 Out of District 3 Unmatched 0 Total Live-In (K-4th) 236 Live and Attend In 233 Live Out, Attend In 4 Live In, Attend Out 3 Essex Essex Warwick Sheridan Warwick Fuller Roslyn Melrose Kenilworth Ditch Devonshire

Michigan Smith High Brier 94 Parking Lot Old Alice Riverside Grove Skok Stockton Elm Central Northfield Prairie Public Schools District 36, IL Hubbard Woods ES 2015-16 Students Live Attend Analysis ie Creek Happ Arbor Exit 33A Orchard Holder Forestway Exit 33B Crestwood Harding Arbor Linder Tree Heather Lockwood Bluff 94 Ivy Heather 94 Walnut Sko k i e C r eek Latrobe Forest Lagoon Grove Country Hickory Sumac 0 0.125 0.25 0.5 Miles Drexel Harding Asbury Boal Data Sources: Public Schools, ESRI Cartographer: ADD, July 2016. Lagoon Drexel Greenwood Adams Jefferson Monroe Edgewood Scott Madison Vernon Randolph dale Jackson Trapp Tower Carleton Washburne School The School River Woodlawn Bell Sunview Holly Hackberry Hibbard Lake Forest Glen Hibbard Lake Kent Auburn ^_ Euclid Spruce wood Westview Fairview Monroe Berkeley Euclid Spring Harbor ley Palos Mary Chatfield Westmoor Apple Tree #* Gordon Tower Laurel Ardsley Burr Wentworth Gage Old Hubbard Woods Elementary School Rosewood Vine Walden Cherry Provident Foxdale Elm Crow Island Elementary School De Windt Woodley Lapier Woodlawn Glenwood Merril Keystone Rosewood Evergreen Hubbard Dinsmore Starr Thorntree Whitebridge Crescent White Blackthorn 29 Fox Fisher Ravine Eldorado Private Birch Dwyer Higginson Lamson Summit Chestnut Bryant Mount Pleasant Alles Lloyd Indian Lloyd Prospect Ridge Golf Humboldt 4 P Arbor Vitae Forest ine Maple Park Cedar Elder Sheridan Garland Spruce Wilson Church Church Walnut Briar Poplar Hawthorn Legend Elder Myrtle Hoyt Orchard Hubbard Woods ES Students 2015-16 School Type K-4 #* 5-6 ^_ 7-8 ES Zone Crow Island Greeley Hubbard Woods Fairview Bertling Lake Michigan Samuel Greeley Elementary School Woodland Hubbard Woods Total Enrollment 246 Out of District 0 Unmatched 0 Total Live-In (K-4th) 246 Live and Attend In 243 Live Out, Attend In 3 Live In, Attend Out 3 Essex Essex Warwick Sheridan Warwick Fuller Roslyn Melrose Kenilworth Ditch Devonshire

Michigan Smith High Brier 94 Parking Lot Old Alice Riverside Grove Skok Stockton Elm Central Northfield Prairie Public Schools District 36, IL The School 2015-16 Students Live Attend Analysis ie Creek Happ Arbor Exit 33A Orchard Holder Forestway Exit 33B Crestwood Harding Arbor Linder Tree Heather Lockwood Bluff 94 Ivy Heather 94 Walnut Sko k i e C r eek Latrobe Forest Lagoon Grove Country Hickory Sumac 0 0.125 0.25 0.5 Miles Drexel Harding Asbury Boal Data Sources: Public Schools, ESRI Cartographer: ADD, July 2016. Lagoon Drexel Greenwood Adams Jefferson Monroe Edgewood Scott Madison Vernon Randolph dale Jackson Trapp Tower Carleton Washburne School The School River Woodlawn Bell Sunview Holly Hackberry Hibbard Lake Forest Glen Hibbard Lake Kent Auburn ^_ Euclid Spruce wood Westview Fairview Monroe Berkeley Euclid Spring Harbor ley Palos Mary Chatfield Westmoor Apple Tree #* Gordon Tower Laurel Ardsley Burr Wentworth Gage Old Hubbard Woods Elementary School Rosewood Vine Walden Cherry Provident Foxdale Elm Crow Island Elementary School De Windt Woodley Lapier Woodlawn Glenwood Merril Keystone Rosewood Evergreen Hubbard Dinsmore Starr Thorntree Whitebridge Crescent White Blackthorn 30 Fox Fisher Ravine Eldorado Private Birch Dwyer Higginson Lamson Summit Chestnut Bryant Mount Pleasant Alles Lloyd Indian Lloyd Prospect Ridge Golf Humboldt 4 P Arbor Vitae Forest ine Maple Park Cedar Elder Sheridan Garland Spruce Wilson Church Church Walnut Briar Poplar Hawthorn Legend Elder Myrtle Hoyt Orchard The School Students 2015-16 School Type K-4 #* 5-6 ^_ 7-8 IS Zone The School Fairview Bertling The School Total Enrollment 418 Lake Michigan Out of District 8 Unmatched 0 Total Live-In (5-6th) 410 Live and Attend In 410 Live Out, Attend In 8 Live In, Attend Out 0 Samuel Greeley Elementary School Woodland Essex Essex Warwick Sheridan Warwick Fuller Roslyn Melrose Kenilworth Ditch Devonshire

Michigan Smith High Brier 94 Parking Lot Old Alice Riverside Grove Skok Stockton Central Northfield Prairie Public Schools District 36, IL Washburne MS 2015-16 Students Live Attend Analysis Elm ie Creek Happ Arbor Exit 33A Orchard Holder Forestway Exit 33B Crestwood Harding Arbor Linder Tree Heather Lockwood Bluff 94 Ivy Heather 94 Walnut Sko k i e C r eek Latrobe Forest Lagoon Grove Country Hickory Sumac 0 0.125 0.25 0.5 Miles Drexel Harding Asbury Boal Data Sources: Public Schools, ESRI Cartographer: ADD, July 2016. Lagoon Drexel Greenwood Adams Jefferson Monroe Edgewood Scott Madison Vernon Randolph dale Jackson Trapp Tower Carleton Washburne School The School River Woodlawn Bell Sunview Holly Hackberry Hibbard Lake Forest Glen Hibbard Lake Kent Auburn ^_ Euclid Spruce wood Westview Fairview Monroe Berkeley Euclid Spring Harbor ley Palos Mary Chatfield Westmoor Apple Tree #* Gordon Tower Laurel Ardsley Burr Wentworth Gage Old Hubbard Woods Elementary School Rosewood Vine Walden Cherry Provident Foxdale Elm Crow Island Elementary School De Windt Woodley Lapier Woodlawn Glenwood Merril Keystone Rosewood Evergreen Hubbard Dinsmore Starr Thorntree Whitebridge Crescent White Blackthorn 31 Fox Fisher Ravine Eldorado Private Birch Dwyer Higginson Lamson Summit Chestnut Bryant Mount Pleasant Alles Lloyd Indian Lloyd Prospect Ridge Golf Humboldt 4 P Arbor Vitae Forest ine Maple Park Cedar Elder Sheridan Garland Spruce Wilson Church Church Walnut Briar Poplar Hawthorn Legend Elder Myrtle Hoyt Orchard Carleton Washburne Students 2015-16 School Type K-4 #* 5-6 ^_ 7-8 MS Zone Carleton Washburne School Fairview Bertling Washburne School Total Enrollment 437 Lake Michigan Out of District 7 Unmatched 0 Total Live-In (7-8th) 430 Live and Attend In 430 Live Out, Attend In 7 Live In, Attend Out 0 Samuel Greeley Elementary School Woodland Essex Essex Warwick Sheridan Warwick Fuller Roslyn Melrose Kenilworth Ditch Devonshire

Michigan Smith High Brier Creek Prairie Forestway Ivy Grove Asbury -10-27% Greenwood Adams Public School District 36, IL Percent K-4th Student Change 2012-13 to 2015-16 Sko k i e Tree C Heather Bluff r eek Heather Country Drexel Hickory Boal Jefferson Monroe Drexel Scott 4 3% Madison Woodlawn Vernon Randolph dale Bell Jackson Trapp Holly Hackberry Lake Lake Forest Glen Tower Kent Fairview Monroe Euclid Westmoor Harbor Palos Mary ley Gordon Tower Chatfield Laurel Lapier Burr Wentworth Woodlawn Glenwood Merril Gage -9-26% Hubbard Woods Elementary School -38-38% Keystone Old Vine Dinsmore Whitebridge Crescent Walden Ravine Foxdale Eldorado Private Lamson Summit Lloyd Lloyd 7 10% 4 Park Legend ES Zone 2015-16 School Type #* 5-6 ^_ 7-8 K-4 K-4th Percent Change 12-13 to 15-16 -38% -37% - -31% -30% - -26% -25% - -5% Lake Michigan -4% - 10% 11% - 28% Map Note: The top pink labels show the total K-4 change between 2012-13 and 2015-16. The bottom labels show the percent change. 94 Parking Lot Old Alice Riverside Grove Stockton Elm Central Northfield 94 Walnut Orchard Happ Holder Arbor Exit 33A Exit 33B Crestwood Harding Arbor Linder Lockwood 94 Latrobe Forest Lagoon 0 0.125 0.25 0.5 Miles Harding Data Sources: Public Schools, ESRI Cartographer: ADD, July 2016. Lagoon River Sunview The School ^_ #* Carleton Washburne School Hibbard Hibbard Auburn Spruce wood Westview Berkeley Euclid Spring Apple Tree Ardsley Rosewood 62 28% Elm Provident Crow Island Elementary School De Windt Woodley Rosewood Evergreen Starr Thorntree Blackthorn -5-5% 32 Fox Cherry Birch Dwyer Chestnut Mount Pleasant Alles Indian Ridge Golf Prospect P Arbor Vitae Forest ine Maple Cedar Elder Sheridan Garland Spruce -28-31% Wilson Church Church Walnut Briar Poplar Hawthorn Elder Myrtle Hoyt Orchard Fairview Bertling Samuel Greeley Elementary School -10-9% Woodland Warwick Essex Essex Sheridan Warwick Fuller Roslyn Melrose Kenilworth Ditch Devonshire