ࡱ>  /deq /bjbjt+t+ >AAٖ8]bbb$P$DN0bx(F<g T0000000$:1.3r90b!!!90w"F? bw"w"w"!bF0!0w"w"k*.b0F>$@.hľ!/"Introduction In Kansas, population estimates and projections are widely used by state agencies, local governments, and individuals. The variety of uses include a diversified pool reaching from statewide distribution of tax dollars to counties and cities to individual requests by local governments for recreational grants. Because the user base is so diversified, it is necessary to present the most recent and accurate estimates and projections available. In an effort to meet this necessity, the Kansas Division of the Budget and the Kansas Water Office have combined resources to present both accurate and timely population estimates and projections. By statute, Kansas uses the latest sub-county estimates produced by the U.S. Census Bureau as the official population. Each year on July 1 these estimates are certified by the Secretary of State. Prior to certification, the Division of the Budget reviews the estimates. The process is efficient and believed to be a responsible use of state resources because federal efforts are not duplicated at the state level. This process is not only advantageous in this manner, but is consistent with both Executive and Legislative efforts to responsibly use state resources by downsizing the state workforce. However, this process is also a disadvantage because it requires a heavier reliance on the Census Bureau. This reliance is in contrast to other states with demographics departments. Additionally, the downsizing of the state workforce has caused all demographics duties to be assumed by existing personnel. The result has been that while U.S. Census Bureau estimates still are used and an official Kansas population is certified each year, official Kansas population projections have not been produced since 1992. Using the Kansas Water Offices method will allow Kansas to fulfill one of its obligations to its citizens, which is to provide timely, accurate, and useful data. Application of the Kansas method will not be used only to project populations on a sub-county level, but also will be an integral part of accurately forecasting water use. Additionally, this method will allow Kansas to review more efficiently the population estimates released by the U.S. Census Bureau. Both the U.S. Census Bureau method and the Kansas method use a common componentwater hook-ups. Because of the common component, it is anticipated that this application will decrease significantly the number of informal challenges to population estimates sent from Kansas to the U.S. Census Bureau. Other uses include a proposal to endorse the results as the official Kansas population projections and to publish the population projections as the states official data in The Kansas Statistical Abstract. A brief background of the Kansas method follows. Also presented will be the conceptual methodology, an outline of the procedures, and finally, the results. Although population projections were formulated for all Kansas counties and cities, the results of only four selected cities are presented. Background There are two basic sections of current law that affect the Kansas method for reviewing population estimates and determining population projections. The first section is a direct link and is contained in KSA 11-203 et seq. The section specifies that the U.S. Census Bureaus latest sub-county population estimates will be verified by the Division of the Budget and certified on July 1 of each year by the Secretary of State. The second section pertains to water use and provides a foundation for the purpose for developing the Kansas method. Kansas Statutes Annotated, Chapter 82a, Article 9 is known as the Kansas State Water Resources Planning Act. This section states: the state can best achieve the proper utilization and control of the water resources of the state through comprehensive planning which coordinates and provides guidance for the management, conservation and development of the states water resources. The Kansas Water Office, as the states water planning authority, is responsible for carrying out this general mandate. More specific responsibilities are contained in KSA 82a-903 which directs the Water Office to: formulate on a continuing basis, a state water plan for the management, conservation and development of the water resources of the state. The activities of the Kansas Water Office are directed by the Kansas Water Authority, which acts as the governing body that formulates and approves the annual additions and modifications to the Kansas Water Plan. This document contains the policy recommendations and administrative guidelines established by the Water Authority. While the Water Authority directs water policy and administration, the Water Office is responsible for selling state-owned water to public water suppliers. In April 1996, the Water Authoritys Conservation and Marketing Committee discussed the management and allocation of water contracted from state-owned storage space in several of the reservoirs in Kansas. Committee members expressed concern about water demand negotiation policies used for water marketing applicants. The concerns regarded both over-allocation problems and equity. As a result, the Water Authority directed the Water Office to chart a plan of action regarding these concerns. In July 1996, the Water Office presented a draft methodology to forecast both population and water demand for every city, rural water district, and county in the state. The Authority authorized the use of the proposed methodology to negotiate the amount of water to sell to applicants desiring water-marketing contracts. Simultaneously, the Authority also requested the methodology be given exposure through the planning process. In January 1997, the Water Authority approved using the methodology on a statewide basis for basin planning, regional public water supply planning, water marketing contracts, multipurpose small lake analyses, and other Kansas Water Plan programs. This approval allowed the Water Office to publicly distribute the basic methods used when determining the water demand needs of public water suppliers. Also, it is contended that the methodology allows for equitable and fair treatment of every public water supplier in Kansas. Two of the first applications of the methodology included negotiating a water marketing contract with Miami County Rural Water District #2 and regional water supply planning for the Walnut Basin. A summary of each project is presented below. Using the Method for Water Marketing In early 1996, the Kansas Water Offices Water Marketing Program received a request from Miami County Rural Water District #2 (Miami Co. RWD #2) for additional water from Hillsdale Reservoir. Geographically, Miami County is situated on the eastern border of Kansas and is adjacent to Johnson County, which encompasses approximately one-half of the Kansas City, Kansas metropolitan area. Johnson County is the second most populous county in Kansas and has had a rapidly increasing population base for several decades. By 1996, the population increase in Johnson County had expanded to Miami County, the result of which was a rapidly growing rural sector in Miami County. This growth translated to increased water needs. To meet the increase in water demand, Miami Co. RWD #2 submitted a request to purchase additional water. However, no official statistics supported the districts claim. In fact, the U.S. Census Bureaus estimate of the rural population in Miami County showed a decline between 1992 and 1994 from 11,976 to 11,683 residents. An analysis of the rural water districts request was conducted by the Water Office and included on-site observance of the 100 most recent residential water service connections. Also included were four separate trips to conduct personal interviews with public water suppliers in Miami County. Analysis indicated the rural Miami County population was not declining. In fact, the rural population was growing rapidly as substantiated by the number of newly installed, active residential water meters. This very rapid growth in the installation of new active residential water meters in rural areas was accompanied by a significant, but somewhat slower growth in residential water meters installed by Miami County cities. Combining the urban and rural growth yielded an estimated water use population that exceeded the official Kansas population projection for Miami County. In fact, application of the Kansas method indicated that the population served by Miami Co. RWD #2 will increase 273.0 percent during the 50 years between 1990 and 2040. It is anticipated that at that time, this particular rural water district will be the largest in Kansas. Based on the Kansas Water Office population and water demand projections, the districts request for additional water was approved. In this case, if the official population projections had been used, the water demand would have been seriously underestimated and resulted in long-term adverse effects in Miami County. Using the Method for Regional Water Supply Planning The other use for the population and water demand projections method is regional water supply planning. The first initial use of the method for this purpose was in the Walnut Basin which is located in south central Kansas, and encompasses the Wichita metropolitan area. The Kansas Water Plan states that regional water supply planning must include an assessment and strategic analysis of the region. The assessment is used to identify and prioritize areas in need of public water supply assistance and includes population projections, water supply and demand projections, existing water supply inventory, and data from each public water supplier regarding short- and long-term needs. In addition, the region must have a viable public water supply system. The Water Plan includes a subsection entitled Ensuring the Viability of Public Water Supply Systems which defines a viable system as one possessing a reliable water supply. The system also must possess the managerial, technical, operational, and financial capability to reliably meet performance requirements on a long-term basis. To determine the status of a system, the Water office must: ensure the viability of existing systems discourage the creation of non-viable new systems, and encourage the formation of regional public water supply systems and other forms of regional cooperation. The pilot project for conducting regional water supply planning in this manner began in February 1996. At that time, six cities in south central Kansas contacted the Water Office regarding the potential for constructing Douglass Reservoir as a future water supply source. Douglass Reservoir is a project designed for flood control and must meet U.S. Corp of Engineers specifications. Congress authorized constructing the reservoir, but the project has not been funded to date. The authorization will sunset in October 1999. Although Congress authorized constructing the reservoir, the U.S. Corps of Engineers indicated in late February 1996, that the Douglass Reservoir Project did not meet the flood control cost/benefit criteria necessary for construction through the Corps programs. Subsequently, the six cities requested assistance from the Water Office to explore options available for the development of future water supplies through state programs. The Water Office agreed to conduct an assessment of the area prior to planning any new supply sources. The assessment began in September 1996. The Water Office included five counties in the study area. The counties are geographically located in south central Kansas and included Harvey, Butler, Sedgwick, Cowley, and Sumner. These five counties comprise the Walnut Basin Regional Water Supply Study Area. As part of the population and water demand projections process, the Water Office sent preliminary projections to every public water supplier in the study area. Each public water supplier was asked to report any significant concerns they had with the Water Offices projections and to provide information to support their concerns. They also were asked to identify the most significant short- and long-term problems perceived for their utility. Approximately 80.0 percent of the public water suppliers in the study area reported that they had no information that would indicate significant errors in the Water Offices population and water demand projections. The input from the local officials was used to finalize the projections. The most significant problems identified by the public water suppliers for both the short- and long-term were infrastructure and water quality. Application of the methodology indicates that the population in the Walnut Basin Regional Water Supply Study Area is projected to increase 48.0 percent by the year 2040. During that same time frame, the five-county areas projected water demand is projected to be 118.78 million gallons per day (MGD), and existing water supplies are projected to yield 128.36 MGD. Figure 1 presents both the projected regional water supply and demand levels for 2040. Figure 1: Based on these projections, developing additional water supply storage was not warranted at the time. In fact, the focus of a regional strategy for the Walnut Basin Study Area was determined to be on the development and improvement of the infrastructure of the public water utilities so that adequate service will be provided to customers. The Water Office recommended establishing a regional water utility coordinating committee, as a precursor to the formation of a public wholesale water supply district (PWWSD). It was recommended that the focus of a coordinating committee should be the development of a regional infrastructure that would allow the efficient use of existing water supplies and source water protection plans. These should include both wellhead and watershed protection measures. Once the regional strategy was developed and the PWWSD formed, each water utility then would develop a coordinated system plan which is both unique to the needs of the utility and consistent with the regional strategy. Following the development of those individual plans, the utilities would be ready to move forward with funding requests through the various state and federal programs. It was determined that utilities complying with the regional strategy guidelines would receive priority consideration during the funding approval process. Conceptual Methodology and Procedures In November 1998, the Kansas Water Office completed population and water demand projections for every county, city, and rural water district in Kansas. Historically, population projections for Kansas cities and counties have been prepared by different sources including the U.S. Census Bureau, Kansas Division of the Budget, Kansas Water Office, and various other agencies. However, the Kansas Water Office development of population and water demand projections for every rural water district in the state, as well as for cities and counties is believed to be the first such effort in Kansas and perhaps nationally. Although a simple regression function is used to project the population and water demand, the Kansas method contains nine components, each of which is specific to a particular geopolitical area or a utility-use area. The geopolitical areas include counties, cities, and the balance of counties which represents areas outside incorporated areas. Utility-use areas include any type of public water supplier. Each of the conceptual methodologies is presented below. The data sources include the U.S. Census Bureaus sub-county estimates for 1990, 1992, 1994, and 1997; local government officials input; and data from public water suppliers. Population Projections for Counties The U.S. Census Bureau sub-county population estimates for all 105 counties in Kansas reflective of 1990, 1992 and 1994, were the primary data source. To these data points, a linear regression equation was fit to the county population estimates and used to develop county population projections for 2000, 2010, 2020, 2030, and 2040. All county population projections were subject to the constraint that no county population could decline in excess of 10.0 percent per decade. Population Projections for Cities Population projections for cities in Kansas were derived in a slightly different manner than the county population projections were derived. A linear regression also was used, but the data sources differed slightly. The differences include using the U.S. Census Bureaus 1980 sub-county population figures for cities, as well as the 1990, 1992, and 1994 sub-county population figures, and an additional constraint. The constraint limiting population declines to no more than 10.0 percent per decade was maintained in the city methodology. For cities, the initial step was to determine if the population between 1980 and 1990 changed in the same direction as it changed during the 1990s. Four scenarios were possible: Scenario APopulation increased from 1980 to 1990, and increased during the 1990s. Scenario BPopulation decreased from 1980 to 1990, and decreased during the 1990s. Scenario CPopulation increased from 1980 to 1990, but decreased during the 1990s. Scenario DPopulation decreased from 1980 to 1990, but increased during the 1990s. If either Scenario A or B occurred, the 1980 data point was included in the regression equation, but the data point for 1994 was excluded. In addition, if the absolute value of the difference in the citys population between 1992 and 1994 exceeded the absolute value of the difference between 1980 and 1992, then the citys rate of population change after 1994 was based on a linear regression using the citys population estimates for 1980, 1990, and 1992. The 1994 data point was excluded because aberrant growth rates occurred for cities with significant changes in estimated population between 1992 and 1994. These large changes were attributable to several factors including annexations and changes in the Census Bureaus methodology for preparing population estimates. If either Scenario C or D occurred, then the 1980 data point was deleted and the linear regression equation included only the data points from 1990, 1992, and 1994. This exclusion of the 1980 data point was excluded because population declines were either overstated or understated. For example, military installation closings that occurred between 1980 and 1990 caused misleading rates of population decline for some cities. Using only population estimates for 1990, 1992, and 1994 led to more accurate projections for those cities. Throughout this component of the methodology, if a city lay within two counties, the population was partitioned into the respective counties on a proportional basis using the 1990 U.S. Census Bureau population figures. Revising the Initial Population Projections for Cities that are Public Water Suppliers In this component of the methodology, the water related data was incorporated. This process began with a comparison of the citys average annual percent change in population from 1990 to 1994 with the citys average annual percent change in the number of active residential water service connections (active connections) from 1990 to 1994. If the difference in the absolute value of the two percentages was less than 1.0 percent, then the initial population projections for the city were not changed. If the difference in the absolute value of the two percentages was at least 1.0 percent, then the percent of the citys active connections located outside of the city limits was determined. If the percent of the citys active connections located outside of the city limits was less than 5.0 percent then the citys 1990 population was divided by the citys total active connections in 1990 to determine the average number of persons per active connections for the city in 1990. The citys 1994 population was then estimated by multiplying the citys total active connections in 1994 by the citys average number of persons per active connections in 1990. If the percent of the active connections located outside of the city limits was 5.0 percent or more then the citys 1990 population was divided by the number of active connections within the city limits in 1990 to determine the average number of persons per active connections for the city in 1990. The citys 1994 population was then estimated by multiplying the citys active connections within city limits in 1994 by the citys average number of persons per active connections in 1990. The respective City Clerk or City Administrators Office was then contacted to determine whether the local official believed that the Census Bureaus or the Kansas Water Offices population estimate for 1994 was the most accurate. If the local official believed that the Census Bureaus population estimate for the city for 1994 was more accurate than the Kansas Water Offices population estimate for the city for 1994, then the initial population projections for the city were not changed. However, if the local official believed that the Kansas Water Offices population estimate for the city for 1994 was more accurate, then a linear regression equation was fit to the citys data on the number of active connections for each year from 1990 through 1995. The population projections for the city were then determined by multiplying the projected number of active connections for the city for a specified projection year by the citys average number of persons per active connections in 1990. Balance of County Population Projections The balance of county population projections for years 2000, 2010, 2020, 2030 and 2040 were found by subtracting the sum of the population projections of all of the cities from the respective county population projections. Throughout the methodology, the balance of county population projections also were subject to the constraint that the projection could not result in declines in excess of 10.0 percent per decade. It should be noted that this constraint could result in a higher county population projection for a given year, than was originally developed. 1990 Population Served Estimates for Public Water Suppliers that are Cities Data from the 1990 Census of Population Housing, Summary Population and Housing Characteristics, Kansas was used to determine the average number of persons per occupied rural housing unit in each county in 1990. However, to estimating the 1990 population served by public water suppliers that are cities, the data were compared to active connections both inside and outside the city limits and if needed, adjusted slightly. Comparing active connections provided two scenarios. The first scenario was if the citys number of active connections located outside of city limits in 1990 did not exceed its total number of active connections in 1990 by more than 5.0 percent. If this was the case, then the citys 1990 population was used as the estimated population directly served by that specific city in 1990. The second scenario was if the citys number of active connections located outside of city limits in 1990 exceeded its total number of active connections in 1990 by 5.0 percent or more. In this case, an estimate was made of the population that was served outside of the city limits. In order to estimate the population served outside the city limits, the average number of persons per occupied rural housing unit in the county in 1990 was calculated. The calculations first step involved dividing the total number of persons in rural housing in the county in 1990 by the total number of occupied rural housing units in the county in 1990. The second step was to estimate the number of persons served outside of city limits by a specific city in 1990. This estimate was calculated by multiplying the number of active connections outside of the city limits in 1990 by the average number of persons per occupied rural housing unit in the county in 1990. The estimated population served by that specific city in 1990 was then determined by adding the citys 1990 population and the estimated number of persons served outside of the city limits in 1990. Population Served Projections for Public Water Suppliers that are Cities After the 1990 base was established, the population projections for cities could be calculated. Again, active connections were the basis of the analysis and calculations, and two scenarios were possible. The first scenario was if the percent of the citys active connections located outside of the city limits was less than 5.0 percent in 1990. If this was the case, then the citys population projections developed in the previous step were used as the projected population directly served by that specific city. The second scenario was if the percent of the citys active connections located outside of the city limits was 5.0 percent or more. When this scenario occurred, a linear regression equation was fit to the citys data on the total number of active connections for each year that such data was available from 1987 through 1995. These data were used to develop projections of the total number of active connections for the years 2000, 2010, 2020, 2030, and 2040. Once the active connections were determined for each year, the projected number of persons served by the city for each of year was calculated. These projections were determined by multiplying the projected total number of active connections for the city for a specific projection year by the estimated number of persons served per active connection in 1990. Population Served Estimates for Water Districts in 1990 The next section of the methodology involved estimating the population which was served by each water district in 1990. These estimates represent the 1990 population served by each water district that serves any of part of a specific county. This population was calculated by multiplying the estimated number of active connections used in the water district in 1990 by the average number of persons per occupied rural housing unit within that county in 1990. The product was then multiplied by the estimated proportion of the water districts active connections for county residents in 1990. The number of residential water service connections within a district that used at least 1,000 gallons of water during June 1990, was used as an estimate of the number of active connections used in the water district in 1990. In most cases, the proportion of a water district that was located within a specific county was determined by geographic information system coverages and it was assumed that the population that had public water service was uniformly distributed throughout the water district. These assumptions were determined on the basis of visits to water districts across the state. The visits indicated that many water districts in Kansas have a significant number of residential water service connections that are purchased by land and/or subdivision developers and are active water service connections, but are not being used at an occupied housing unit. Consequently, it was found that counting only the number of residential water service connections for which at least 1,000 gallons was used during the month of June 1990 was a much better surrogate for the number of occupied rural housing units in 1990 than simply using the reported number of active residential water service connections. Population Served Projections for Water Districts For each water district and each year from 1987 to1996, the number of residential water service connections that used at least 1,000 gallons of water during June of a specific year was used as an estimate of the number of active connections used in the water district for that specific year. A linear regression equation was fit to each water districts data on the number of active connections for each year that such data was available from the 1987 to 1996 time period to develop projections for the number of active connections for the years 2000, 2010, 2020, 2030, and 2040. Population projections for the number of persons served within a specific county then were developed for each water district for the years 2000, 2010, 2020, 2030 and 2040. This was done by multiplying the projected number of active connections used in the water district for a specific projection year by the average number of persons per occupied rural housing unit within that specific county in 1990 by an estimate of the proportion of the water districts active connections that served residents in that county in 1990. The sum of the population served projections for each water district within a specific county and the population served by each city within a specific county was subject to the constraint that the total population served for a specific projection year, could not exceed the total population projection for the county for that specific projection year. For a specific county, the population projections were reviewed for the county and each city within the county and the population served projections were reviewed for each public water supplier to ensure that all projections appeared to be reasonable. Water Demand Projections for Public Water Suppliers The gallons per capita per day (gpcd) usage for each public water supplier (pws) was determined for each year from 1991-1995 by calculating: (gallons of water pumped or acquired) (gallons of water sold to other pws) GPCD = (number of days in the year) X (population served by the pws) Each public water suppliers gpcd for use in making water demand projections was its average gpcd for the 1991-1995 time period or its average gpcd in more recent years, if permanent changes in gpcd use were known to have occurred for that public water supplier. The water demand projections for years 2000, 2010, 2020, 2030, and 2040 for each public water supplier were determined by multiplying the population served projection for the public water supplier for a specific projection year by the public water suppliers water demand in gpcd by 365 days. Results The application of the Kansas method yielded projections for both population and water use for the state. However, only selected analysis is shown and includes the cities of Bel Aire and Mount Hope, both of which are in Sedgwick County; Latham in Butler County; and Lecompton in Douglas County. Population Projections for Cities A comparison of U.S. Census Bureau population estimates and active connections for four selected cities in Kansas are shown in Table 1. Each of these cities had significant differences in the average annual percent change in Census Bureau population between 1990 and 1994, and the average annual percent change in the number of active connections between 1990 and 1994. Population increased in all four cities and ranged from a 1.62 percent average annual percent change for Bel Aire to an 8.91 percent change for Mount Hope. Active connections also increased, but for only three of the four cities and at a significantly slower rate. Comparing the two rates indicates significant differences between estimated population growth and actual water service being provided in each of the cities. Because the differences were so dramatic, local officials were contacted for input. Each local official indicated that the population estimate for 1994 which was based on active connections was more accurate than the U.S. Census Bureaus population estimates for 1994. A summary of the local input is shown in Table 2. After the Kansas Water Office population estimates and projections were completed for these four cities, the Kansas Division of the Budget released the Certified Kansas Population which included updated population estimates for all counties, cities, and townships in Kansas. As previously stated, the Certified Kansas Population, by statute, is the latest sub-county population estimates released by the U.S. Census Bureau. A comparison between the U.S. Census Bureau and Kansas Water Office population estimates for the cities of Bel Aire, Latham, Lecompton, and Mount Hope are shown in Figures 2 through 5, respectively.   For each city, it was clear that the Census Bureaus most current population estimate was much more compatible with the Kansas Water Office population estimates for 1994 and 1997. This level of compatibility is in contrast to the 1994 population estimates from both sources for the respective cities. Kansas Water Office staff spent a significant amount of time making visits to cities across the state during the development of the methodology. A number of the smaller cities, which had significant differences between the Census Bureau population growth rates and the Kansas Water Office growth rates based on active connections, were canvassed carefully to get a first hand view of the extent of population growth that had recently occurred. Information on the number of residential building permits that had been issued between 1990 and 1994 were also examined. On the basis of these site visits, it was determined by the Kansas Water Office that the local officials were generally quite accurate when asked whether the Census Bureau population growth rates or the Kansas Water Office population growth rates were more accurate for a specific city. Population Projections by County The population projections indicate that significant population growth has occurred since the 1990 Dicennial Census in most of our more urban counties in Kansas. These areas are generally concentrated on the eastern border of the state and include the six counties of Douglas, Johnson, Leavenworth, Miami, Shawnee, and Wyandotte. Overall, the population in this six-county area in eastern Kansas is projected to increase 71.0 percent by 2040, from 847,680 in 1990 to 1,450,527 in 2040. Also, this six-county area has a good source of both surface water and ground water. Similarly, the population in the five-county area around the city of Wichita in south central Kansas is projected to increase 48.0 percent by 2040, from 548,183 in 1990 to 813,731 in 2040. The south central area, which includes Butler, Cowley, Harvey, Sedgwick, and Sumner counties, currently has an adequate amount of water available for future needs. In addition, continued growth is expected in southwest Kansas. This particular area currently is irrigated heavily and the source is the Ogallala Aquifer. Southwest Kansas also is experiencing an accompanying growth in feedlots and hog farms. There is a significant decrease in the projected population in areas of the state that is primarily rural dryland farming communities. This decrease is evident especially in those counties that have neither a major town to attract residents nor a major highway to promote business growth. The Kansas population projections by county are presented in the appendix. Population Projections by Source A comparison of the Kansas Water Offices population projections with other projection sources is presented below in Table 3 and in Figure 6 on the following page. Included in the comparisons are the Kansas Division of the Budgets population projections, released in September 1992, as well as the Series A and B projections released by the U.S. Census Bureau in October 1996. Recall that the basic methodology was used to project population for 2000, 2010, 2020, 2030, and 2040. To obtain the projections for the interim years such as 2005, 2015, and 2025, the Kansas Water Office used a straight-line interpolation. For example, the Kansas Water Offices projected population in Kansas for 2025 is 3,223,743. This projection was derived through the use of a straight-line interpolation between the 2020 and 2030 population projections. When comparing the Kansas Water Offices population projection for 2025 with the U.S. Census Bureaus Series A population projection for the same year, the difference was 3.7 percent. Comparing the projection with the Series B projections, the Kansas Water Offices projection differed by only 1.5 percent. The entire comparison analysis is shown graphically in Figure 6. Figure 6: Conclusion It is contended that the Kansas method for projecting water use and population is not only accurate and efficient, but is advantageous for Kansas because its application can be used in several alternative ways. The method can be used not only for its intended purpose of projecting water demand, but can be used to conserve state personnel resources as well. The conservation is realized in non-duplication of state activities related to federal population estimating and forecasting. One alternative use for this method is that it can be used to verify the U.S. Census Bureaus sub-county estimates for Kansas. Although both methodologies have a shared variable, which is water hook-ups, the procedures are independent of each other. Thus, the Kansas method allows for a more efficient review period of the U.S. Census Bureaus sub-county estimates. It is anticipated that this enhancement to the review will reduce population challenges sent from Kansas cities and counties to the Census Bureau. Further, because of the involvement of local governments and public water supplies, local input is cultivated and encouraged. It is contended that local governments that are given the opportunity to provide input to state agencies are more inclined to participate. This increase in opportunity was evidenced in the participation level of local governments when contacted by the Kansas Water Office. For a majority of the cities contacted by the Kansas Water Office, the local officials believed that the Kansas Water Offices estimate of the citys 1994 population, based on active residential water service connections (active connections) was more accurate than the U.S. Census Bureaus estimate of the citys 1994 population. On the basis of these site visits, it was determined by the Kansas Water Office that the local officials were generally quite accurate when asked whether the Census Bureau population growth rates or the Kansas Water Office population growth rates were more accurate for a specific city. These projections are available on the Kansas Water Office web site at  HYPERLINK http://www.kwo.org/ http://www.kwo.org/. PAGE 11 PAGE 19  EMBED Excel.Sheet.8  Figure 2:  EMBED Excel.Sheet.8   EMBED Excel.Sheet.8   EMBED Excel.Sheet.8   EMBED Excel.Sheet.8  Figure 5: Figure 2:  EMBED Excel.Sheet.8   EMBED Excel.Sheet.8   EMBED Excel.Sheet.8   EMBED Excel.Sheet.8  Figure 4: Figure 3:  OQhy''''(((**C,h27777<=>>B(BDD(D)DKHJJNKNN;PDPEPQPPPQQyR|SSXX)Yc[[]^G_O_acbcccdd f3fhhi i1p2pcp5B*5CJ jUmHB*CJ56B*6CJCJ 5B*CJV  xQd$$ddhdddh$d$d  xQ!$O&'''(p*C,l,, - -/`1h257779{xup&.q  "   K A ezRSQJ+!$O&'''(p*C,l,, - -/`1h257779<<$ $ & F  h$$d$d9<<=BB(BDD)DGFFNGGGJHKHJUKJNKNNyRUXX*Yb[c[[Z]^_acbcceegþ󩦣󛖑}xsnidNOT#PM4b &<=BB(BDD)DGFFNGGGJHKHJUKJNKNNyRUXX*Yb[$dd$$db[c[[Z]^_acbcceeghh ijTl1p2pdprwwJwwwwdghh ijTl1p2pdprwwJwwww&x.xlxmxnxzzzz{{{{f}Q‚ɂ͂STu xy]hiĿ~{  /bc&'(V0cpdpwwJww&x'xmxzzzzz{{{{Q‚ÂĂƂȂɂʂ˂̂͂Tuxy]^ght_šÚ֚ךؚٚښ˽۴ۘ0J j0JU0JCJj>*CJU>*CJj>*CJU5CJj5B*UmHjCJUmH jUmHCJjB*UmH5B*B*jCJUmHCJ5B*59w&x.xlxmxnxzzzz{{{{f}Q‚ɂ͂S$d $d$ :$$dd8dSTu xy]hit[_ٚ$&`#$$$ $d$d$$$$$dit[_ٚ89QRTUmnpqۛܛ !",-./  = 45679:PQRSUVlmnoqrכ؛ٛĿ j+UjR; UVmH j&UjK; UVmH j UjF; UVmH j_UjlE; UVmH jUjRE; UVmH j UjN: UVmH jUj; UVmH jU0J j0JU0JmH389TUpqۛܛ !ٛڛܛݛ./CJ jI?UjE; UVmH jX4Uj1; UVmH jU!",-./$d& 00P/ =!"#$%) 0 00P/ =!"#$%`!Ialpy,Md<#?J*xXMlE~om-M ńBQ*Jp(?%, YUlazG.p ͅpAN+H+TB B̛7?8vfy߼y3@ 8#]Br) sQs7~*,xM`mv#m=$f-Q+I8W({EQTZ>4%we #Tۀ j#c]XەsyKx绅do&0+($ruC/6:di$j;'k9OxAU~+(G,STX` V&l_¨]/ʢ݃y5)'fMP|qT(( `>Nϙ}wcoy5u۷"\e p]=o@%ru1{ݭ g 9<DZ-l|j !%) fI'v58 { "g#]5%[<8hFj̾k-LNpS*wwm*ڂBNQb*wEI] ]w Pz2 wr4׹%Ψ;9׻RZ㶓zYzTzQ,]kK/4iѩ7ز 1X`e  \`%X5تsy=% QC~g6^UmgěVN+ n,OđGa'kt"9oSW3c'yy"dvaJ6δ_jV^iU#|e_Պq6*nQo]Žm =^o`79"#~;87 STC ?lq{8ɾ~e#sW״[%[^FrXlCu~+)?b}4 2>p&oY}uF߀pz\^f賶}?ډ`?~_Z"_$gs ]Ufh{Zi@X.ׇ5pvHnzn }|({j~}w`8dVQWTQk;uкc4ÜO~bHdwGG}~eh//Z`!;.p?p%9ƀv5?,xXM\Ezͼa71M`6H?W>xuG~|mU5Cpa`}̟!򋢻^Mm;a!k9\4'6^qQT>~g|w'_2n{|-{w'|w5;kߺL>WQf 3s090H}Q S]i^̑u/|$μhךU?us㓢b##IG#2)@a4Mu5XKc-U5VXjk+E8A"Jp#)wn;Ncm\h:=Ĉ|ސGȳ )seq j8#1͜˳]pD-WJ}T@—?hN-?<;ͶoS*VGjHּA͓fw*coeߺ0Ǻۻ[rrݘf)z_zO~rѨ>N*^>6 Jly܌!xj{]>ު)9OR\u:\%f؎,3^tgen}6eh۝o9/Gka`!*1 V2_=%OU!xOlWĐP IDEz{K:Jr@r=D9S)n"b"NEj Na̼?H]lfv}oֱP?G6)WW}rrB g[6:kкWQ:9~"Vgho~O6NY<K| ^A\~;z`E-qu;m`,+^@"deFKGBv9LXy<=*o',ߋϽn?yO8Q*O<[*oߡq]D?E^wioo7>7$nY^}sh&5"Y%NGG9|vmw]٬͓%gR,'skRN8%9Q9_ʻl]8鱈^=jx,;tnČ:J>#!$ZI_o[J|BfEd̂ML?\C =OmC_ZW>rhk9&ۼhys'³ ؉ _vqbj lZս[#Z>-$e<GѲT>VK:wTdķ,S-S8_a5lɵ Y%4K -ݦ{;|N+(Gg!UeQTGj᭳lu&Wo]ʌ)z ru)DK&-KzCJrv-]佌_s\kzmCrUxK~wzoas>UW+E,oA"NG@u6փ@eBnrK׬c?䱯,y+S߷llO?WjٞJ֪+ٕ9mYޠ6YĨ2dV"9A=%Pex8gpN>xop_B04zJzgx8F u $9@<$\Hs#@|N'Cjx:ۂn>2zG8K8Τ%h/Ќ M 4 XL6G&SZʉ09oWL3ZդjRC) :.a tKhy%N1tu%g_tKZuιTf?#xлgL3\*IP}8պ=HPQIG}ݯdi>+@{:\z]Rzcᕩ8VWvqR8ݼ럢E9[.{Xo}@hwқl;u"p_'kNqW̖lQw¨:f-:ƢpΡ5+vmϔԊBdT <5܊(VީUe]ll xc?j4&aG}gCLd/.תY 9,%Olbd*7j-:E _2_~oS_J&?|O1էd՗+ a}b-fm K vངE-[>+ۖ >ؖU 6}f[U`m"xA(`! ʗ֏LL/WO5?,xXo[Ey~~_\*)%T&RHJ9Pb `pB ;QTC8!!!qBH R8q₞8 fv}tmlqyٝٙ@00@TriZLx@a:;'KLu\Zh5$){Zd ]'\QlGQIXGpg Lu@LtyMYlzX٤j 鄝i6n]TSi2l(6ušH3I8jܹNxxBEQM=T14a l`5 V6J?61iZҲ٘Dp}K1J^IA >$Ϟ'<~}54IO2^lσzŝ% :}o`K@tu1(x"#+_ ǰ-[<>0l) *?2De7Br 1;>~h ۮ9r4:ڑh^l)^lF3B}&-Z~ݍv;u]bco|C(㎙A[7[xKU{E)SN/ٰySE}T=iSMs%}e|~~([^,ok7^E?6q4O n-ml`[7غjl70mU]5XE7KֵCe#8q.\jTi&:-gID~p޷FѽT9 O׫ # 4tqiTA18Q.z2T8X_T9j>HW<_ykx}_g8ٽD35ȷp[K%xrSǬK;kV>s`WY̩S%OY9?kl *IoO= =3 `P~yZgG 3] gGaY|Gr$ _@ۋ͹f)z;{Oa2t^)vӧ!۟4^I,12&88NWjZY,YR~nFܝxv1n@q3%427cAXM:$_dUٳ/&GѼCNQ9kv#٧ӯsMG~Cr_)/qA`! Yw5#7Mή*3{ZWZ xZKl.)L.TfciH-SU۱*M]S#i-rW]PۦE{0(PCrH ڢ6z-cSzɡM@Vy-w)R^Xrvw_ Bz8gΘ"[eccBaqO (P$ A!>_^hL>WO'  yAl99+i4u\Vf*2eZDTDeTb'2JIw J쨲o4'4S#U٥#I)1WÌ`w)Y+#GGO.Uʭڬkne"5ڴ1̙Q@*]ѕduy|< hñKЋRl94 G2@OpmOs( +EJ0>Mek=%z(G11즍/4-5iD,\i+~Nz%%@##GU]&7XJOՉg20b zϠ2iVۮlڑʈs<[]`> {ڜ> ='J!uFnZ_dr|IQb+F bl.BqsNe6p0 f:1J6cM MT%W+f8:1yFуr_5&D}.|}w~G" '/F,nTU;L5Ч`_'lF_[*VXW]Zn)KN`E[[˾1~uc_ s-uF>PLOoF V ŸU0;)Bkѱ זncux`-TR>n;sJV];vʞz)BzEwk94y\)@zMB |S_Kr99L*Z qL9WH3 ~`qWԲD;94[㏃#!am7aU"CG>"#!nX–sbZ^l(3:Vz|ڥc>FݞW8xoǸ}>t/K~ߏ {%3ge]]aQy wU3#]=kڲf, Ey]Kx:t/D1Ϛ!5ۑ2ڜ./zGDc#tWڴu/kH L"33:/ZHMfNt̾0^>!VqEԉ 遫>9xގy#4zfv&{sdQUF在!9XxI3n}o nb^1Kƫ~hlX<.(8ȝ0C,iZG o:'+<:=6ht+y7^HwS+h-jBW$}wpk{+ޯVj*w5{'\C|Q|p_O|Ρ8d6 _6WKȿJm3/GFc#m:14|Qx|FoC nrtbta Ô|p}%/0y;< -7H {^eS>o6˓Aw]VءUqTث=; g:>:6Ym=&a۝Dמ)mW*}ATմ|Fބ⓼Cc,aVN5-ߡxN-߲*r#ޯS7G'Zv٢[)_ Ý5Ќ5y*wc =eƭ֔koףּ O=VHWGHsS'\~s>t~ x p!<05NM__˴=W1b/xTU׿v^Q슽EAPl"K1$FI+bwMy353kּ{)ܻ>{~\*Rյʩz(3slʓW/Ǭ1K9o*RYcQZ9j64.56[Fe..Yy-QWyRt*^Yի;x\}'gqοZʸ2TD8C,FcF @8!!^莮F95Z9!!5QUJ(((@~EN@Vx@WnnHDz8F<1X!>1S1 `:fb6b>|eXoV`%~jl$a'Ұ Y\M'c _,r|S+~*_a=6lfl6lG؅=؇td࠵;6l&lVl$#;4A:(sHևtdG.7 Eb?vc'v`367ŏX0 uQ=1 C,b0H# ] A Z916j:2*Y>. 2f4v+j{xx,P(rdmvKW|.>J"QфwF =0c[GQB=Ӄjg,|cmXaVa-6`+RC88S838s8 K ?A2UNꆁXc"b&l'Q;ޘq=\膌Oe/#̸)\.e,,bI'ɸ'h W8֎񷗌2>tߓ݌a`)Vb^[ 9v=318`CE8?z;:- uNTD9BQFxx:l#Y_9)dZI؆؈߱+_`>b6fa&"EƚD# Y@UT*<ʢ4J㕏_2͌sf{i?3Sv|<8;xgph9Qh`콱SU195e #cRCʘBư62]Ƽ2ɘ)cd12ɘ:AX3֚1wsdL^*cZ7C2+uZB긬ykd!+^Cs-4Dq\fIkۈ,FFi[ۤ%SvN.?[cWJ,WX1s0a:)aX`aD8B] hO-FK4G4@mTCJ8ښߩ !?rZ)؎-؄?V32|EssW/=`b Ǿɘ KX0DX >CP9I $ؤU1Kua*JLSTG5q=H2I)q&J0UW̔8c%\o$NY!ql&Ut{Ht^;'xM.RNu;ֵswOk1ClVs-k^[s[-HH .᪝+2sFf!=92tSTI94J92V~92̉-9%2g6Of˜tc&snSd%\ܝ3syfNE\ @ @C_DW;9ZpO#T ۱k +-b1>L hDae`/<2R|fH2?qB+0f^ox|G^/!2?'%2R_S̼_1,1|X%VXW:lFllGvb"ukaq)9ppWq76>1)^@9]r9- M QQQC9FIÛ(B(oCyx8/'!.n .4N(2q8}؃]HC*v"Og 6wïXU ?`%r|,gXh9xN~Ǹ+ĽiHq;"xz $Pg1Of\G$=%9UMjb'˚VK)1$&.*1r9%6t $n&w[;Il]bK,ob%"9 u$u֙;w^:)uXԽ#"+r ' /qQx((2(?T?&P,rZ-! ] =}E8#QA,!DΛ萟9#|11 S011( E!} ] AhDs4A#4@=AMgSUQ~(R(_A!x#/r!! <<;˸s88$b<"#11= # `t@ڠsT@eK{+'TSކn#]v(v"oHlXX'91}4H@`4F Q?hF:NYB /|PyasQ\u%ϋscgv#u`#z/XU c%r|\c/ 11C|x3`2&9 C,Fc$1P D/z+鎮N a, 1 H-u~荞FڢZӆkچkU5PQQ%QAArF~EnDdCVxK%kss\eLNA`YPa"ph"㑀 Iix3ȯfbfCǘOa1K|XoG }&l6@R]/c _JN(%gY)9OӬg<%2PF+iR[eJuBrj$w-}KLr?\䄞#zIΘGrHo) I%%-'9%g-9lCiJkr]ۭlҮsJ;+~p>)&MI}UYrյe O[}$qg{}OD~? bc?g6DK4GS4A#GjkSPePEQ>(7Yw4^Ew&s{M%k$`]kJ/e$,!䟅%-(WykcsH^7w^v'Y~;_?3y3L^?3y3sR߳7F=T0+zjLv"xګ|Qه[骄s@D)+C2!U챜ʣuDY"*YD$b73HdQ"gu@ezuGq q'qPgc:k^uڣ[{k}hnuڣ.[kUk\V.U4RSݳR(S#"r# )@vdCVd'zEќPZ[_95S<#< ~nn]51Rqsq qqYqp'pp}#Ȥ|0 >j{Kf!;YHRwlqڈMVlDڂVva7=,Q۬j;;*~d+U vZ*:ҬCjujuD2qX2oL5;3۬Xq1$-"Pcju\MNl)ޟzsWz:`up4\%˸3x30Ӻ޳nচeR[qwq}pC<ǔ2gxx 9.xw,ȊlzNNF>{ ->t EΛEQcb[cJJ,^UTzS&j}+@϶꠮hhhh-V3Zm)h7N.gtE7=ȢzՋ^>}З~ @wDŽplX1>! cz# E=}#捡S? ~>cfSGP<^?|ʟ~36>d1bW8N8+[UTꨁeW:9UP :uF5NjnT-%㪕uLjvhL::ZTu'T'lR]Ӫ+uJNߋc{SFocQ}T4j CLAGÌm{S6kII"=I"?$^$@@KH099흟Y?XA FcFbpDM)+2);sDs(a(" eTe]5WߨNQ~ļ@MBmզڔ_kS~m s̵5Kj#ĨCR>}J]#Gj*JT?*Gcgʲl2gl(>(g(g)͵h)IT-BRߵ= F: ".;۲SNvd޳g'{au^b[N䲺kD/}±!`?c Buny:oyAG¾F$C)gQpH901FGSF4ubDQOèPЈN`0"NS>a\P \\o׾mmK{1v޴^^-'zn: :mFGt=hG6ڢ h@-Mڸiwm5NyBki"Lr ҹpD`0m:` 0׊hޮ߸*o 'H$@%)! E]Pl JE+EDo-NSrYg̞=IN1yś|ȏ0 p!j(fJM)50#iJ,QD" <):1}#9nOI'D)(.Fs.9D-s9Ѻ6(K~5<'`O⩳8.zN Mf 3u5ɢ%eC_#4Yo=gp:/wbʮ ّQ*;:]7I*qsfκÝ.'\s ~1FqGL<HB"DKL8n~y2EsQns9D/;2ȹypJ!+ΒWguW&gvO;sَmfcgk-fZ|͐ k,c|vlcx)3^~Ync[;@m&'է\A+2Q D(S e ]{-CY-Ccbvqc'1vkv:PuPPSXvj_9|TET68ou*}NrԿucMڏ8C8s{Qbǜq,tO8Kt̟ꆓļĜȜȜ|\<<;c0o8qk13q mI^#~qQbG=8!bY}o kg<8n"&v LM M M MLLR 6b3646464646464Uvўi}n8#s9\]%\t 9+N~q3i:pLjcyGaC8<ޏ}؋o }RWl'nN|۱ [^lg،Mr#6zZ|L#jrha=L.9\2OƑKyr88rXd:In;11o9\u\*UrͫWX^fy|e"y@y< o_q/?'͓9S1rOqS!ߑ!>#7{Yطl͵mum+ׯ_ŗb7va'yN:>עs|*:nT-m8h`\7I>fCzdP.ɨS7}";^'zqŽ>֛Yo}^ g9ٸgƽGg~:;‹{loEsp?ôEVަ۵TM 4g?X6EʆȂȄMgc4RM(5 U: u q*p[&77g\'ǸNq9 r71c\#WPŘӌR9c&sK9D-sK9D)sJ\Ft^0ppy6ǼΡޞreH 93 ,0CTv#h7n>ݼDŽy~*ͩ?l7LsutnVTZeF&ӆ Z[Ƶvk1c,k8֖1-cX[ưvaaўq=X{ƱӑqXgƬ.n讘_ГzsNuX֗cY?Ʋe3lcƲ$~t" B, f!aN:#OHb߳ٺ'|*'rXx ّxVdAfۄmB6~Paʅ94RM07mB6nPфmBQaeuFQa_F5AuD)BLpcfӜy:D+ȗ?M7\IF1c0VD'&."rr!rLOOO?N?NU4L_N_N_N_N_NOΠ?Τ?Τ?S鋳-lƊٌ'樫e1c.EFghl CuƢE3]g,7n0?`, fD$kN2R0`~Cg<&0&]:T ӂtySƜ7R(i.)bs([f|P 7r!'r oxGpLY-e ː!,C.^<4|Q\$JNj%/J.^\\&C.. 򓓋|yM&dddQ2Yi'h'Yv662oA;ɩ2\* -UL[L?T4iʣr EvΗuQDI@qXE{zNA`4@C T%i%h%oy~BU `9f7mUoKwEI(F?.F.JEEEEEEEE転0000V ևC??}L4b0 8ī|&U^3CU3 1B\f*jvV緜UmBK@sbahho7~æ9l*2*2~株 (or(k5{U)-[^>U(B0 | U~C^AnBN䀷٣ِYW_fʀx ]߻w -g2oe>||+s6jlsV-[?Sppg;~ï8S?'SlV'M|#s72o`9|s꠳y|:u2S_c"%v;i}U!WPkUTSe%5PoQ.Kݖ^E u[PsUlWfm,(nVVV>SQ||PlV&| *YOYOYOYOYOYOYOYZZZ$,#825*қմUUUU궳Gx3$ANY:j,EU֫2**yfLQ<<9fy3 1Gc˲f.uOр`sN50gq78_3~I;NR? sBs?y眏(}DBM=Mn-ny­o O[G[N] i`bTXC_Ao⢗6=YdM"1T7ҍ=te]CWЍW+]ЙNȫ;Ug vhmٲ-[e6l%ZފeK`9ތW7ElīByU(ИW7Mxu^لW?YiV-th٣9MϮF^P E?~٢/v_}0G1KU_&R}2M 媗Yw55>5>9@C]jj(YUSQz["*+ wF't;pyC[λ (Zs΢y|+V[7%O#O####31J51#1B5D#j)!hHMVjLMէD0Հ VCj!ӐiH͈Nj'@jJC]PkZ5@PcXj5VڪMmBMjL<:2tdq;E& -Uj U1j˟&?jZH-T *RΧ!Pujr+2P)/GȾٗ#rDANcR b@U nEQ1ȳQo4h"":\\\~\ž,z{n.NlӉm;X:qwG}Q":A <@'P1za0OK5aj]9&e2";#Xa!L<3U,8шqy̍4X0ppE=ޢ>oSԚC_AoBOyѝn+3;#ω쳃ImݤnR[7Mj&tZE-ݢntZE ݤv jj&n2H~Z멫cHW,b$e#^; P aER%UXMP5 G5mP `' q 1F"1g yehr311JM90}M }s*330XNg*@SIb"G><IF10#x~8 /fj~9)Υl,wL tXNLd$$DD$$$dd$H?H@iiMrꢞkiA*"1(' 25Cs5Դ@KƣC-Z2bjm2c g g jA:1tb.ӕcOw`^>XO4ȸ(D#bYƩn&^`f`na8FwF#IHVL `,aJHSiA" АPJIT~*m?Jh"6J{OϢϢϢϢϢϢϦYYYuxM7tG$Kq'Ȳ~b"B4byqDΧmϧmϧ]ϧ]ϧMϧMsgҮҮڶMM!2ONmҶgҶgҶgҶgҶ ڷNNNFSiSlƵ9&y[D@M0 2F-dZ)sp<|x.`6C><\xYĩĩééb&Lrb:triJ><1xyH^,&O 7ɏrɏǑ#/O^`!1IULL'8i> $B,SyO\P,R*3 x:;@PUʊ|^YyA%zO%zLezLezHezGezG5ا 0 b#C,󿓋8|#/ 8XpY$}Pa.`6ۈYe+ fD5DK~5UY<'&q.\\\|,2JFEKˑ&7W1W1W0lrpu'J}c9EN}RgI@qCQAa} y}TDo^5j9on˷A9휋ymڈv~ngw3,7^'HـXGki?#ڐXC;iCҖ>hCцޣݼKYx6vn[h7M͛%%7h'N^}Fxp? e_~eK3^ˣ*^E_E__EK=W/~qoƯso:ƯsoLG4DBk}k}x{c2/qo/r_,^pwwpwpR~Xor37DD'w]^.[s 6WԲ;Ӣ?|Zvlcf|b|)fl'؈ R뙥:f)#f+k53XŬz~B3T|{x]f,Yk9^b3xYLLKhb 3f%bK$uk&UWO(%3 "W=O9u:Ht&f`:a*`2&Ne:I]|ay&qM12Jm㜷q[ƹvu纍synr~[wyp cj3縙M&o緉Ĺm6{m& 6bבk[so1Fso1Fso]{uhF7F6ro{#{#k1>OnJ S}xr?˹p6q{e,32o֑~~~$5W7 .%\95{2W9vS\_p;\ӟ^?s~R[IIϏSs?c b96cQ(tD}lWY_mSaAPGQ{ooo[[[X%t gg |<~o븦a]|= _1LN|AL02>?s8A̧b?~}\[o7aR|\5H؍]̓b'\R||9~ PoDAqGcbT(Fz$!'c0V-500Q-1ȇ&L4r3-f""bzr9sȉ&'MN#)6c>FlzZ#FՏU?bT]èQUfT.Vrȿ=-Ͽ7R- }{x+hiiV~2jeޤVޤV\>~۰:Bo}Q}ʺ،MFZ%c)c|5XUX6CZ]rZxomRZAzu-l!^@Pnz&1Nr9}z4-L,=)𤑟o<{s}:wa< <,0?a~o,cOsI -3wQGg3bq~|ku5TW^2<.a.|sǿdߍ];;?g>|.1ocNʜ9}+s-[?çb(t^,.R/K%ΧDAYϧFʧG$+ɒ ϧN^OIS)**+U!d)hYCZ/aʧb:CNNN݈ߨߨ+s9Mn)s9EBLLLԍG ?AQr#Aߓ}AȁO.$Dߒoȋ!/_!/C^yїMn$v$/;ȍ>vl#Gڊ-ISޖ(rHH(j=֙z9{Ȳq!;Cv`,+/[]e˸h&.2 8ϙ:?LKE&SLs&9 ,c4Y9Y9Y9&ImFیpn&MOYnOY>f#!*$!/Wqy|x2#eF@qQP\9Fs<#xQ<,0Ba<y #12(~ibQ#8)N1Bb?3Bp?;p(Gx#FQq(8H*g]|8DACۇ X>%q|~\bsyn,gK幙[3 S32WNMMMtLb}؅vM1pyΰsn1d4HpuFq ..s<{g+N:qzY:7u>~oF_ck$~ JNPV8c<'~3qևqȽb^PiOa[}O`[Vr\凊UQΝE/J%QQ Ey ;K;3>3Csȃȅ 3(=#2pXgt, y:mK%9@vpPfPfPfPfPfPfP2PB 54 ăvE>koQD T9~5"R.$+IT?# (r|-kDi^R(cQK]q/늡((d$X,O"3ȃE<59ٗox!;!+gaX=?K>c_"\W \F~^^~S~|?u:O}@18F dA%A:&"QH"ꑣ%?K~"QQ6yJmZ{r ?ɷm֟U:٘FFVLT'+Z̵kr?PU%}慠 U]N{Xe<^Fx ob)d)c*뾁׉5x/{<óxV,ڧE,>'8BU]@{yyz*mt&s&msms*NmNmNmNd$LNNPqѱ)*7r!LMfDi//Qa!* 2#@[Gb1HercXFƣ2i~umӏѼ#{_lЇ7z'{;U]3]Y]7БN*. WL;ek<Y-Д//:m35fNk̜iiia__!iՐy>H.Z\.G6j1*"׬IY񍩆67+SVݦ"*<'$OK*lkK(8OLaL(e> L~=|(ɫ~ H$%1St>nm:@w ]zn'ttnvn4tۢZm6v[MTs7L5sO\lgerp֞vP)us]9nzVu8;QP35PPUPjԜzyCY!&J×.RD G1E/Bnr.;_"]]"UbyXF.Dx5^Vdg=;l" 2,3qdyBNIN3|&|&|&|&|&-dQdQdddQ ⲉq/".XΚ8ux$8Sf?'| f:fcHuČRߛd:IB2YJ~oƪ}f3xf'=f$fjL>|*4j3Sgfl 9j#6`=֙s1[9Mg ZIuZUuZ]uZ`5%BE7tEtŊN,E{ڢ ZZ04Ac4B(!hf>HD=ԥ"uP%jE[╵SmZ~V~V~V~VU@ пҷҷ!JQ(ADqCQJ)0.Dg" rfE^DnVr"ȆȂĶqdDcH6W-W-W-W-W5Ӛ~F]1mN]6^c(1%h͑DG^лF0ڐ/}oⵢ'z;1 ]щ:q<ёcwL;p9pQ#іZjKmP{VhIfEK[ ڢߎ ʄs¹brm W W5WW[귤hNahB\4f[ш׉POi1rW>HyD=&"u(ZIqN8ʜDQQ*KݕESnKSǥo_ݗZ⚈ q'uw#~l,!ϵMFmCfhCq8Zl,-6GkRci p3%%3D_fчCofыAf ы'3lх٢ Egtb5:=3G{f3[v-E[f6hl -1D 4G34ErU뱂SMppppCY<'XO ϕq\uK h h"шDbD$G 5 U E?OHMD)sQ\2Ep P  F q8'h xtm:K;CѴho m7vC݊(L2qMVcܴNB"Fc[ 0 iߐ8rbsQG<ٲ*ч=fOГ;+GD)DGt@{ohhLNь@bFbc c$!&%X B #Z [4"1o#`3~%R>]˔)-DWJϻOE"E%RbY?NDKIfH?ߠ{{-o5ۤ]o%[~Vd>Y{jbrd= w;~b=a]D# Nw3f`z1k ƪS+eLz=#yWһ< vh~۸i?L&ڙs̹uRnGvPn{5pC[5mj - MMИ:i2!h&^ B֣QguYu@P_uT4W-5Э CO %eja5uXUʨD]Qz-OS]ܲ,ˠ4뾪[eISũps0 q- q-|Tkj`̗o (|;|/oF ss!'r^ ^ U#19ssss0[X$*ѝF.FNL c1ԝ`wb k2&q&bƫ8wooA4H@D;VC_w n n,n,m l i i "\E "5HV&v6hVh<XoƲ)ш6☡a]4Djԇ1*rOG\E6qQ 5QXuTCUWAeE%+g释KQx9Euj_Ѿ i ^Ч)g$u"}:>HNOdu2Z$ѷ׉DHB2;\2 @Scc1~>>.ҷЧЧПE }7)1$oB>'VOMfDh'?'ҟωDr"}Y?/'җh(H Aa‡>C/ 'sX 7Ax ^*R#5;ꌠNsYc9CT; o@(wL7^ w(cJ|(ۈ!MRAeĺY eV/ECFg賑,FnS}a)z}ч>|2I_'z>nw՛^,{膮nƄĸБq363.3.3&g+yg>WBվ5-$">6bؐ~G46]f6 mo߾kɈS҉УzkqֺΝCEIJƒ #Gpf`/#L"G3/@Y;/Kq=ro,{In;߾c߱-[vW; Frka&-?[wW,zbgw<ؖEG'vMC޿uxH}"k}ocwbgm#wm7?hmўXkkkv'v!'vX_Į=X_Į?X=O̘s+c<̏ obUa,] X+bE}Jxb>+b@XAO]}66JXOƪTO@/n.<뉥7Ozby{3yybߌG'F}{cY Vymes|x?;FzW[c6y 'F[b9>kuϱ--c;mv=X{~ kcHl=z?;bc}MG;7ҏ0]"V!~;{W,==X;kwŲXbY1vObƤcE,#e+vg?<,X+v!r?sW'sWWO]ӏ0VobR]170Vob"wWC؁'wGb_c,ƂXښlvo_l!m|v>,ObM}cRٿmxwVEݿzH[wŖ?X{ĺXboG{ё)n=g va785>t}%5NAX!#y^6Վ*yj:jaX! ߅v ߽v"cW;Ô8LV7)Bޟ*:)IRL>OӢwWQo*e&2 ZgMճ~6v.elcl욍]?l즍ݲ6fܴcnZ1hcm,e,6ƲۘyXNccyl,己6V X+jcl1_󵱲6V*Xhcm*XebcUmմ6VX=gcA6lc lX#kbcMlብr[X kmcmmX{hcmun6zXokclE@Hhdcl,l,ll a66F(KDKdKcccllk;lq}gfcml}ac_Nicllݞ{WXښƾol~;`cm찍}gc;bcGm쨍6`c'l섍m;ecm7dcl슍]6v[6>]ZZ.]qO]'e6ƼlƼm,峱6cclb6VXyhc~6oclUj6VƪX-ecum,ƂlOHNo)W;~6ocmU6VjX-ccul,XX}k`c m'I{*Wȫ9bMmV6X; pdcl^6X?HxK66Ɔhmccll 66&bc3ml1ߚrZ6_m윍6v.Ufcm속ݴ f-7e6ƲXvccyl,1+dcm6VJXzN؏6vƎ1;fcGm쨍#6}ocw6vA;hcml}kc66vb|?wEwTnE+7{d-6ʚ%]#,1Vcf4lYS~E!zg9糼'mg[Y&dil=[ekjd(b̨p$pbE5$6a3L_wl:ʦ),ű1e6d#p6 a`6c}Y֛=˺,Ų. :=kڰ%kZ&eD=أn1ѡ%yl>{^gʖl[ְ5l=KcY:`X @ԶT`,/wGCvlʲ!TRL m`,l#[)n8z':!VauX(kcYE,Lkڲv=bY,Şeϱެ^dKl^fc͓S46`,%BG_m$<lY>Nrvmc[VͲfe,mb,e XZ>>`,a{.gO vcGBU?;џO';}#}g;Nmc[ͲR|hػW`Qv`)vfgW,;γ gkԁ~ RE'DB SL5vegX bM&Vb^JD‘2)̪A Ϊ{=jGXmVeYր5d Y#ֈ=gMY3֜`-YkֆaY{։ubYW֍Ų'zެ7?Al0†l8Fl4Ʊlcdh.Pikd3٫,fsX"Kb,&KemcY&d,mg9,dyl7{>d¿/ύeD_rfMl3ƶohY,ma[XagAvaqv}>eivg_ -~cO -:ڵZVcY v#aX)VewrNv* dXuVbXHG/X>f_F5(>3 оe߲#"Tjv ]ϊ R-'g^VUd2<X VZ jXMV>ZVaX=֐5dYkʚ9kZέ-kڱTؿpξ:{_X1V{Dy0ح4+ngeY9VgX%v h}.O߅ufYG֑]^-{J߰Ub[ OW4b X=V |aIh0`UXev*<+ʲۯ@+g~T;e]YօgӬ5kZk>E¿w\ƮaEX텵?=#O=}þaWKvfS;Ύ0b~c{^nv\öl+d, l=[ֲ[l%[.d)l){-fBg<6%D6f U46MaSd6MbqlƱ1l!l07z,uc]Yg֎cYKւ5gXS{/M'mά z z>D|JFb/06`#H2ưlaS}βkv}X|#?o"ɢ]$Uv+ʊŰͬ4+ʰVbYEVUej:bìjڬ.‘Wp_UTPav`'g*$T0Niv}ɾbyv]`w;=~b?_دwv]dWGB SShcױ +bX nadXiv;+ʱ]v*J>v?`X5VdGXmVcGYք=dXsւOTЏ=ĺe=X/֋e}Y<6 c"a%(l,Ƴ l"&l*Φҕk[Ͳ6%d7TbZ.[k)&: 2Y&bYl ¶^JChJnHhv`'Iv}>c_3K;γ;]`9ˉ~aE-U*v5]ˮc׳XQVgM&VncYVd{XEvUfUXUV;"a~ &jGXmVeY#ֈ5aMXS֌5g-XK֚amXցuf]Y7˺>l@`#!l(ΆlF1l&86Mcث,fsX"KbVmWF,+ʳnv7* "*J>VUa{= 6eXֈ5bOkZX[68VYx|X֍ŲŞcϱ 6 a/(6e&lf,ųYl6\6%RLb-a)Mʖl%[ֲ]m`il#`Y,elmc;.>IK)\8/Rg7[-6Vʲ;؝<+* ~V=YuV`ffY]Vg أ1k̚T3-V5{aX֕ueXwփdس7l^`Cًl8{F, p $6Met,6%6%,c-aKX Kerbk,eMl+rYv=,e{vxyW fB{f}Y_6 dCP"ƆlF)>e86gc}ıIl2¦lY<ÞeY?֏ f6ȆlF86MfST6ųx6b,cl>{-` X Kal9[VU-fYdfͲvdyW*H`>EBkž`OfY`FZkZ6 kڳ#ĺ+ƺX˺z {a}Y?֟=l0̆l8^b#(2Ʋ l&IlR`'#S SMc3+,d6esYKb,l[̖RY*[ΖUl{V5]m`i,>l ,LŲmc;Xa;Nb{kE PUf,%$ĒY2{-db[RX [y,0aczm`F2YbmcYcylg^ޖTR>ʎc;NҕyڥMal/;̎;N ;sܻh/l/0;ʎ;NTJJ1ѧi;޹HFv6҈=`-X+Y[֎cX'֙uf]X֍ucyW?y=˞sU*X?6 @6 aC E6 g/l:l& ,űl2¦ilg,%lKfkl[%l Kel[;J8s@ EAAąA]LD1@Q ߌ3-V?cX39-55.e R5LLAsnխ^y>vabױױ^-]l;}}b#QSqv*/3YvjXvǮbװFf~OՊfv3iR憹a'MnG.F.a5X --vauX=z*v kc7Fšf̐ܤ}7i~fMn^^¶`[Vl;ہvbWװ MM--l{;}c-J0K;aa)v;U`ggi4v;}}.bUXv }}bwwXV]5]n`7M6vkšf.f~硕6d٤t0k1kaXG#`XW+uz`!XO, °~X?,Ģhl 6`Cpl8c X6KFcRu P'h?Saca8v;>*ϱٖxiZ5v j:]X#v5aMIδTVJU-c}>mml/+:3** ۅv`۱Vzza/a/bM&l#{{ۀmƞ~[[bkǰǰ5X# [bX1VaXaXeaYX&e`X:b,LYrLl&6MŦbS)$l/83Y5yb^v/v/`/ǫfɱ1u@,uźaݰX'`aX8b!}PlaX<%`Ql $+ D,MaӰ l6 RX62L,²l,[`X[bXVV`X1V`X)*:kdk+yg|{ ۂmŶb۰ml{lc { ۍۃbbbX9 v;`Gا18v;*JK̼&x4]{2'S*/`j.c+cװvšf.fR{(҆%U"mhk<1O|v:bNX aݰnXw,B>X_/E`0-8fA`l ņað8,l6 K`c$lk0D>[Cv wH̒=>ǾNc_bgYv}}b:̎ٱuvƚ;4,Uim0O-yc>t%Ǻ4?  , BXo, "H, Ƣ[6fO>Mal$%bqDlv?6Mfb3l,KbX:=ebBl!eaX6+bf*iR+Ċr+Vb+GG2UruF,Ӷf^ծLa_cVUa5X V}aWz̎5` FT#v kš;]uGyB0w<0Ok݃ycb>X;:b.X,cݰXbaXǢyEUrP1X 6bXc Hl$l6KƒTl6Rl6KҰ|,[=eb Ebl1`K%X4geҜՊ +JU* +`kǰDZدc''gg sFbrP7X.{/q:cvkF&v 5a]̐%ǺѴV恵b^=7惵ayxӴX, ºbXw, BP, bX$¢`,ņc,%bcX2M&cS4l`iX6K2؃Bl|+ĖaE +Vjmk/=5H_NX', Ă`zaP,z naX?Eahl 6ba0,F`#QX"6%aIl%cSitl6K`s4, 2X`9X.-`XVa˱X1V==aeأأددuoz))l{{ۈۄm^^aZLׁ-`;?aװ=l/6.{;>>b#QSVU`_`_`\4hlZc]4[dkdvFkX- V`WW9 OK49VUb'q8)v;bcX9ۏ ۍvb`;?b۰VEEl{{{{{{-[l{([Va%X V-NJeX!,Ʋ,*u7 w㆚qz9Gk_Rl{[f+wVA| ?rS 5i3F:>GIȻw^HI7P-O# gyvXusbbG6 O}~vw8B*P\/פe*Րt4J%;iJ7I*uڊзEJRɇ4I.*t_)D(RJ1-gִmOE]Jluz8+hsl#/%-QmߓJUjZ)_49{6(g+,5N]&tB%k?UsJMN^J ŨtU(ҷ|\;Tz}JVFtR+jb4SJsgbWֱ̓ ut}C H*:ot!"UZ'@;ݖgX, r= =j?שF6UfIj5rܖ&*hm*Ij퐤R~V e.h"mV՗RDSn:EجL6ȧ~6RDj1fJi6{V=^Y=+CPm_2D_m3W)Z_qP:~6jR*Z&fRY})WCJq.!ŨW%4Rߌf*1BUb6UȩI*ݯ`Ub:)GNۜ "mV)Z"FbSP/_/II4\#XZ맅*V;NiZ,XV"TIW)~[$ S՚rZ3X>\>Z_X.44DX2A[kMRir S՚2:R 'UXskgj6#ͤD^QfTN9=ZwIRi,7:ݶY;C-ڙ%Xn#bvDU=9Zws֎:>N~gljuDd 8dK6}lN>Nq_ٵ]?1c/W6Cڍ:mWn|/`7~L꣒aJnj%ᥝF;mej7:bT #Mvvnsݰa*ɹ猶SQ#qʘ==eҞ5R=c5*䄨'5khT ڹRԒUkRJD*UɦQh#^P)vZWNhJiaZWj$h^)v]>JӍjᯍjDSZ,Q)R;Jb6VpmTmT Q:1.D%XDE ZyvQu#"q0GTWgAT݈*QKEՍQWLUq kfq7g]he ֽ3U] {c힝t om]v}خ .KbPuY(zHܳlCu:85A~r* Hmg8F_/}Xk-ՆuX kG?E_S75c_SQυxMt_VaUU?.zѪ1D[C.P~Cz#ߋ`}bv֡?Lg'gB,׏z%X כ'y.tE^-tE":y9Q˜<=Eě!21ҙ?:]S->"=]a_9TV?*9Gq>3^VUuhuZYX*>91GˢWWb֫SP3 g0Ydp3É`,*ySέvwLUyV\Zvoq:jq~/8sOc!fʼn|bɵW'<&ԙ~$v;GM?M;JW鷦znz>\署xw#N{5RMv&ڃ:9[G+!X;=f}[dk>KܓY>+# XKޔ4^akL֞Cw7M&M➶Y=:jVwjxYk9tSx/iLQ*)jYZ[y5X_Ѭ~}N|9$1,}O\՚XBh3VG1m>?$svPٗcmX{ZvW_P_L~__|FV;JTEZ,"%":EUU* .NÊInAZ*fEl}hZ.M+v䈎V V펌 6#,veBBO:2/"ۚ:rBM9`-{b]e|UETQ] keCTQ]+~ETQ]=/,ꦮ9W\"uu##DOn#G{BhuasdϏu<1uܑ"֗4h0Noҫs_'ׯwYkz&ZW[|b@S4;ݎQqe|Jy=v4֡g{;ijp;]0{,4mX5g]&dr?ONJ[\u1@1gc"۳>Z`pqǜn<4yVgokag1?֗!Q#c*Q[cŻ Bw2N$ben+sSըXu>{c"&s43=|)+bGB: bG3B+a-s;**$}? g)FT}ei ֕_M^FߢvwvjiMwMe}mB}m2w(*/XD7:D7`kX"|Mo {oE99S:aAbLf_ܖXVAN,'o9*ή83:a['3Ǫ\X?{yk=u)~ßvul?b]^cLѱc׊c|~?S=wpثzGe^?vek\[ǶMıyl[{yʏOߜZ@کvdvubg8+;:瀦hNE:|Ko?A^wz o ҰV:<uR{ebύ zW0,s]Ed*.,,ygYZ.pL,Xf$N|BWŽd}I,z&ʉJ;u('.BxB~skƷ16:kMkfz.:sFj}z웉w=]~0ޔM)4d ] 9C>`> @+ gA |΄ow +_.;(< Oqx r ] R$mM#E*}cvNe휥̜vB2.\(R i@rpiŗO.1\btZ91N;CK\k_/a<C C!HC' I%iOI&$N,*8ѮX6NuFxa=p77@r ] RMI|$gIb$$fI317y;Wvf.ss2s ECtB2.\ڸuŧo.\bvM }:گ::#:#:⯣m3~wp;7l>6Yn6.m]|r%K,.zt|cm9osms9JۜL0C0,jʐNHCݐ\|t%KLخgo?gy ~?f np!Y@:!y)O.E~RK7qLq08v6YS )Zp1|.K2V d !y]ڹwŷK X.1]351G+[z\5p5Jo~v~g8:͸+*XW5p-\?MSO`zcq!ogVe_e (scE)Ҿ"-⿨ $P*\+\+\+(C?{D P0/~4bz̾u.nfn~dO캺\\_ ECs˴)Ӷ2,L2,3P>(B/L5-jyV˞imպg[{6>v|h'V;1ۉNe;9mohÇ/=bxۣ}2C Ph3} \hhҋN]luk؆*@/JP>iço .@1 v _>>}|'o{lsgskso}g[PhUɬzu6#0<0xuCy袀 )C/y覀 ?W}ĺP~Uz}E^(ж`oբ V)Y Tb5"A P|ǯ8>|̵o13CCGKOHj@6в &A>1M*|k(|gИ 3oy|?TA ~@󫴫⯊*1 z 2C P0/~x\!Y=꫕Vo5tIz}P~(T6>m}|'O,>9nu}BFJΩߟQN@:6гPc/\ln6WA}bGT`O}d f_*V3]l5%VS]n5VC%2 @q}3)*+,m3/X= }xP~쀲a@ xCav9 qԼn P<Jg7>kjV=e5ӆ>۶=ʹ >PoUT\>xP163Z_MSc2/L~5^6w@_a ^1xZ|#VZQCC#>n:`q45j!X `9g0~?La,0P^*  !&/_6ƐaİVJhSm 5|׈Q#V5+a\0,0dAC^ýpOgݙVXwՂXm8j6ڷ mo#NڈF61߰jᣆ>kF1kĮk J~^aRAot腦SmVǶ[MwxV]h5" Z1~O'AqOЏ%Pm 5|Yw5bՈY#v>K9XarͰRAKvVϦK[헵ZjüՊ|YwbY K\/iV~~Vo~W?F1kĮч}C#+L~yy[j8h ?EJV^X۽J*~|,e0sdu_RK*TR.*/رs3Ɔ1 1 ad4Gjuju~.>c2K5B}~}pk4+)lٿ{utήi97F!Ca+C dikJ4?} u}ì#:6 ` N4@,A>!B3v!l!3Gw{Po& Ƈ4n FUcɋNN&Li9'D!Bha#6Csɴ|4%M끷ѯ `zpapf|g7KYtfћRgg 30 Mwj[3󪯯ܺS_77pӲ;q1zހx^ * g hj[N25UΪxN5;!0D O14bhЌFQ@!su.h޿1ϴ&?5{Gk syC1'F8qhюW,@"y}yU5ŎSyE {q'N8qhюc#_ƷyXkҚc^eү~U&}C"A!I&HD3v %^;,BbQ@!v=ۧxj孪UKB0a@ qX$铤o$ZI4h'd^I3wNf 1=*_囐UToW?#w>o茣7888c8 CBsk AD><Ϥz}L߯'йNy! 8,B2?{8w1 5/f^ܿP]>:ê㏨O?6DabEH@RK?N )SIa/S#?R_?bO[ghP&UT˧Uۃn]0D 8,BkI7F H`+O|OQawL|Qݩ)Ѿ:}6g"uq)u`'v#؏0Xs\sˡC?,d~qd2a R&fM &N5ǩ=7ܚtjTnV߇>}ه}c E~:LN2e)c2cp(QP<@eH ie-Fݢuj~մz%H2d 9X<%(ӿN2e)clε&+_-wKer_Uώ&S8qjH0,A!Yyks7F9spX<%(32c)32c+32c-32>-*wy2'f|2kѿ:ZqR!ՒU[QPqaI|Y> 9X<>O<ˣG?(JÊCVdYeI)iC39sA8uЯB :*WS^5q(Cq(oY/wrZg?W-y[ڐ@ Po eЮЧB *hVЮ`-*áe(A AԘ~=zk7;?ou0+iddl ox^1 Q9S]"h~@Z' {buh*X\k;,rE"wX C P1#E啼w)W^Wy~3f1s ICӏ('*ICY{ 5CV&6iD- -`11Y2r}֐kiE>.}I>w^qQ/(ĕ)C*Pԡ`AkiҷF&MhbI 7_ VuAĶ؆'L;^5U㿦>V 5CV|?Т_Mt5mN{Mj~sZЀ:Ԡ (s]S%^ߢ}~wU 5CV&E}[hjB\Zf\,m՝s]>'sR={b+VMhqm>-hBv -3w>|kkR{J|Z=|?N]{iU{c-hsm>mhFvmlAE7&WulpN~PNr/CjPMhAkiӷF6ml8Iv`P;6}m4llmlشݹniź|ӑZ5xR +EcʉʑNLZ]4,:Ѕ-͵6}lhhhذecƶlb3&lA6aa :6Ms*^xʛNi:Ѕ-q]{ѿN={O hC=ʇ_W~mʟT:hho:l&ta z`ϦC6za7͆-wS_?:?Ƴk ]؂1㞬=Y{d6e6e6e6_=؂.lt -oѯE:-4[hVTCQ{7fۊ5bp'#pp;:lh]ִNmnθ>a#o)?BʟNk [ӣoG3wסu:u01z2TUqjQ+6[OkmѰѲѴѶacƦm϶6֕:&-Mu囎?BV (B P1tFҿN*Uةbe(A A2f\)NvFgs:Ýי9w>3o0hM96&5 zT硾Qyu~ϙd|pEk:?ybK[,#:5s^yI8Spv>Fci4ў49ͼNIx cϙ^9?sϡg7|Gg3O t&9Σ> 'H A0pLpv}Zd69U^kW4s|Oirm>AD3vAl{'?1L0 F?0¬<`fY'wuyBWzJ=4祜sSfyg !0D gQ'F(Q؈b+(e "f-5 if͚ن)UF,}>,5Y!$8@\_QtEэN{Q}μ|wչtyKsΧ0x?z"$ )X4ihNc#46a R,Bb`].dV3]Y;[kabEHCRiX }3hd̠F[ːv1K$$`BIo⡢)^KzD: ҍNBvSf-hЀ:Ԡ (Cɰ)HB!1X0{݋''U<8zZqY2]Z'K ːO42he̠F[*c]*Kt45^0ksJqVdG9U^qV4j1bQIWKwE(@V -F[ilֳ%=O޷5:xߜyu>gKz/{¤.=+f闥,zYtgY ,u8N(&>x~NNJWgY~V (B P*ԠN::uѯc:{^WTe(A Amg f]S47⨥(ޝ0,+d!+@} h*Y@ ĤCV Y{>>RRV5òͪ"P }+hTЪ+ {+ {ޭw+ {ge=-Q^rzѻ&w8X1qSP?|3|F{ٛ=];kqt5 c<?,<𴡧}>о\o?o}<~>>~ro]sۛJ~ܟYw}3^#'<߼ uZ_}vn|N$0/:0h]KNϷ~DyHaF>3?Њ?}^uHo](vba/HݳfGi mкվϮAr=hA= 8{LqOn~xRVg=9=^>Y+hk<>?82h}qϲ.[]J;jw|ݴNZ~ #Wz8aQ_ki=0;ߨQ>zqfzN Rͳwr]+\@G5ڮǮch}D=+ri]Y׋xEOt0#{~1pw尖Jߕ'|}gAk?N=J{t107o18SV7a&ϺDEw=ߕOo5yg/S9'䈋 ZC!.s7vîˮ(7LJc(k|}ٳ.cúw=|4:捤ѱÞ3:6/~ZZø:Hkx Z ֌Ӛ!McI__%5Uvå_8#~4 <7Z 8Z4 _WF7h?p_7coƜw؇F1s{yߟc'pj5v슫n/=##%Yb_q{?l~{/ la^}ȋkW;b\^侕6c[Xqf׷[lvyvԙ]敁 gv/ya/#>BĻv1v饽ERF]^=+gRtaט.eL(xteƮ11}Q|x0~:Dcm>>h\`!'.C=L9R@xX͋Egw3 DeH6B&!CX<ń`Wʢ;(zDrPrHHA]/MsЃsѹ j{]Udf_UWW^U5 l`=Y!Jh .Gb4ke##J)/`~V3:=;q-rB7#JC?#Ԣ,o^FVSh&w%QVS!3˿} L\hA $|Ҽ14.5aW*^oբO 9PD%Wb=Pؖƶ4XG`ZD}iH4~յX|qR2'CǍ /~[z]մ=N8%UEWY.b弮]e.5Ax CN| xEH%$D7i'Q]xQ1\ fb1"?꞊3[/t2 we_Xf]v*w 3k`$.zw~O3Oe8H=ANRT+=@lJkf\uB}R_m_ΟNhBӓjW>@ajw=]a[h1uLS-ػ0DXpxchly!7?yUe 㑕7꺘'lX??H)qt|4^WʳvU<]ߨ.]Yˉ\r ,~% EFJk^+>lWZfAJ ^ 9:u ڤO;9M^5k ;qhl<%%,#sX2ay^.?1evp{vھ .+Gz-/[Use͉hwd~G}| d6{rpJe ϰvwѾ*|.ll>+K'}yQg:8W%K3t@LzZkSF{;IV/!X$F8GϹ|;AOa%l?hVnVF&L}鹏 wgq}t‰̰9̜Nqo*z7브lu| [U [`!5 `BQV+(i'.T+3KQxPU xZMpGndbpb~LRŠB$KJ"vd˖SHT@Ѫ%MywFz*R@ 7 Ǥ8r9P !e_̮vժ]y}{_!?N##O>C'[&= j`kX2*FZO^/9:Zud6|Nb~SBgG?ymCKzued_ Oغ|(R뜡dpOXF8+/ SzTZ$C`Qsc/م(n^gά4u7e&TU=N#&j~[`o[~ ]}5Ƅ6\wrngUg8r 11iӲMy/-`:;cR?չGgUV9[#8_oq/aL{ LN2':}YqyGkm,,1sJe?9 9z Z+< wFp /5^[`v/=KX_ϼdzH<9.Kg5(u {?DF%m!f ّYJV^*Wv U7àL-ѱ@r<+'WL`V58lK"S0V~Q\ägsو["K#b 8CmފdF,׽oVі< > o6^c&< zoF;V^[;{<: LRbqR,^%#+}cۑ8c92RiY"tzi92=9U*?˚^uyF`;y[̱pa)F Bׂ&09?lb[aЌ=-9’Nn'n'z(+?#PY>uXs#xzJ =GkL.ѵ1hq-@ |Z q]瞿Bok;v,%gpl5c#k ='߄1`NpC];;uu!OalJp3[+>m7[}mə~yo$@[yfMa38C?-l߯AF֟[[Jc:Ֆӕ?0λr[*O¨yY~"A%' x7f.iPz31&I\Lg&GsRsIVx?G?G푣F2zJw4|ؕF y]r dhtJ>N>;J0r_`_QH 0E:Mmp?ܚ(_ Wۙ<0Sj"=;TpySN:ɪ^| T @ VbYyO!]t֛JJЪۮI¹X\ʴ֎y<+9VV^9cdS)]7oQ[e^ ;q(`"?GY+8CJ#8[t@R3p.7iŸҕ{Q˴éM2Tu>+'y4_靑NeE7b 6G1w7vuy!EN9@] LounS}+GU5OU^*UӽcFU5:hU^CT3`LGl9wIJRqj]mDqPPe1hSI[]7ĔR٫O!z?GEu*`KY`:ay9ݡB nLx-+x1,oц`YH6Vg8=ll~fټ:i^Ol~Pl~.E=a&mXawz@(61Q3Vz9VOqÊW\0:uA,!~1೐.׿ci{vA IOwDx,'%[B#K0 %eCR6$mwҵ)MH(1$ңQet5!dD;%tks`-kEg?5Eo`!1tXMP .-gKwm,%D VKB1@J)1 bH@ V@KvJژ0&41%D+>@@j0|& 1F"뙹w]vݹgΜ93s,*x 'JW\L&JXc T-A\x$Wfѽ2x[8*U!U{ lnb-Y?F׼H:! B^M Jڲ?lBS5 Q[[pɻݸSlƧL/ܮho@X-&ӦM1miCLbZiR?ϱ?C^׌Jx-58󵡦Y%IajղV|-y{=PappЖUi[c7sxuɱtg^ЇxPGsB-ΡҔHg,)'ĺM[Sv5~;}cL^˸ѴIѴ11miCLK2-4GM.kf g3:e1Sm[?@~7y1\1/b3L|ץ<*}l'hR7xWxmqNPĻqeJyiƐf WUp1c GQ0~f uuq8DŽ`Sa1cxs"Dnn&YQ0*}@gS}GyLJb=Q4s<wfS 2q' dl"-jLdȮIu5ypyqт C{WjML~<`4g]&l,snnkS)&gq1?7k~.ɏca+, 3r2cp!X͌c4EXbxHZ,S!VU ,Bl 4Esy;"i9E&νeOi@ CV8ܤ|Rrݥ\/ɐFֆS~&~mRݗUF6g)9V2! cVAr$)<DF6 RdK#݇}J"_jX;7s>8O9;s;<+j ZNrkv@3VvR{nܵmSoOdd1eQkKzof@!4fW;IRU8fPƸԠP,9ۓE5רU[LMw]zkֺpYK >ת tsK\]tC^]jĵ^TaV|Eɑ{kFu24Njw5q{>бw{獔e}.~'l:{ze<8bC!pg>g [7 QTgy>k:1L kg(k!C?Q2 ]ͭQ=;\E9{KM摕>]aه]I]Ig,~~hm 7{W]%dDAM_H]|޿7ÊuS4{Ԧyy?ehDyK http://www.kwo.org/yK (http://www.kwo.org/ Ddo$ <  C A? 2* *1 V2_=  !`!*1 V2_=%OU!xOlWĐP IDEz{K:Jr@r=D9S)n"b"NEj Na̼?H]lfv}oֱP?G6)WW}rrB g[6:kкWQ:9~"Vgho~O6NY<K| ^A\~;z`E-qu;m`,+^@"deFKGBv9LXy<=*o',ߋϽn?yO8Q*O<[*oߡq]D?E^wioo7>7$nY^}sh&5"Y%NGG9|vmw]٬͓%gR,'skRN8%9Q9_ʻl]8鱈^=jx,;tnČ:J>#!$ZI_o[J|BfEd̂ML?\C =OmC_ZW>rhk9&ۼhys'³ ؉ _vqbj lZս[#Z>-$e<GѲT>VK:wTdķ,S-S8_a5lɵ Y%4K -ݦ{;|N+(Gg!UeQTGj᭳lu&Wo]ʌ)z ru)DK&-KzCJrv-]佌_s\kzmCrUxK~wzoas>UW+E,oA"NG@u6փ@eBnrK׬c?䱯,y+S߷llO?WjٞJ֪+ٕ9mYޠ6YĨ2dV"9A=%Pex8gpN>xop_B04zJzgx8F u _^hL>WO'  yAl99+i4u\Vf*2eZDTDeTb'2JIw J쨲o4'4S#U٥#I)1WÌ`w)Y+#GGO.Uʭڬkne"5ڴ1̙Q@*]ѕduy|< hñKЋRl94 G2@OpmOs( +EJ0>Mek=%z(G11즍/4-5iD,\i+~Nz%%@##GU]&7XJOՉg20b zϠ2iVۮlڑʈs<[]`> {ڜ> ='J!uFnZ_dr|IQb+F bl.BqsNe6p0 f:1J6cM MT%W+f8:1yFуr_5&D}.|}w~G" '/F,nTU;L5Ч`_'lF_[*VXW]Zn)KN`E[[˾1~uc_ s-uF>PLOoF V ŸU0;)Bkѱ זncux`-TR>n;sJV];vʞz)BzEwk94y\)@zMB |S_Kr99L*Z qL9WH3 ~`qWԲD;94[㏃#!am7aU"CG>"#!nX–sbZ^l(3:Vz|ڥc>FݞW8xoǸ}>t/K~ߏ {%3  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~KRoot EntryL FľFľDData EWordDocumentK>ObjectPoolNoľFľ_991567643  Frľ݃ľOle PRINT: CompObj6f  !"#$%&'()*+,-./0123457:;<>?@ABCDGJKLNOPQRSTWZ[\^_`abcdefilmnpqrstuvwx{~C@-  l   ''  ' ' Times New Roman|wgw & - l2 3CTable 1: Comparison of U.S. Census Bureau Population Estimates and   #           # I2 r,Active Residential Water Service Connections     *    !2 Kansas 1990, 1994   Times New Roman|wgw  ] - 2   Times New Roman|wgw3  -+2 Active Residential Water     & 2 47 Population  $2 4tService Connections   2 4 Comparison 2 fHAverage 2 fAverage 2 fBetween  2 XAnnual 2 Annual 2  Avg. Ann.n  2 'City  2 1990 2 19942 Z% Diff.&  2 f1990 2 19942 % Diff.&  2 % Diff.&  Times New Roman|wgw  -2 (Bel Aire  2 3,695 2 3,934  2 1.62 2 S1,210 2  1,495  2  5.89  2 -4.27 2 3(Latham  2 31607 2 32037 2 36.72  2 395 2 3?95 2 36--2 3y 2 37 - 2 3-6.72 2 i( Lecomptonn   2 i6192 2 i8322 2 i8.60  2 ir2220 2 i*2280 2 i 0.68  2 i-7.92 2 ( Mount Hope%  2 80522 1,092  2 8.91  2 r2981 2 *3031 2  0.42  2 -8.49 "System  -'- - -YyY- !^Yy- - ! -[- !Z-- !-- !-- !-YY[- !ZY-- !-- !--'- ' FMicrosoft Excel WorksheetBiff8Excel.Sheet.89qObjInfo 8WorkbookySummaryInformation( 9DocumentSummaryInformation8=Oh+'0@H`t Darrel Eklundx State of KSMicrosoft Excel@ @'U՜.+,D՜.+,, PXt | Kansas Water Office1    -.!"#$%&'()*+,123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ \p State of KS Ba=< =--\ <X@"1Arial1Arial1Arial1Arial1.Times New Roman1.Times New Roman1.Times New Roman1.Times New Roman"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)83_("$"* #,##0\);\("$"* \(#,##0\);\("$"* "--"\);\(@\)1,_("$"* #,##0\);\("$"* \(#,##0\);* "--";\(@\)                + ) , *  "   # #  (@@  (@ #8@ #8@  ( @  (@ "8 "8  ( "8  ( #8 #8 #< #<  (@  ( #8 #8  (  ,  (@  ( #8 #8 !8 # "8  (   #8 "8  (  ( #8 `Sheet1Sheet2Sheet3GAverageAnnual PopulationActive Residential Water Service Connections Lecompton Mount HopeBel AireLatham,Active Residential Water Service ConnectionsCTable 1: Comparison of U.S. Census Bureau Population Estimates andKansas 1990, 1994City ComparisonBetween Avg. Ann.% Diff.i z 5@w`T0l  wll`T0ltН0Lxwltw@w8w`T0tl4l lip0~~kawl`T0t@llT0,t00 gT0zm00n E000nnp߿0npt0lpPercent0] gT0@0.{e0.{{T00VlT0#)^{<T06ly`T0 |w6lvl?wwVw@l\w`T0 llÆ00@l`T0ŕ0`T0`T0 )0`T0`T0@ xpj"0pjk0j {   dMbP?_*+%MN\\KS\daqs22pkXXLetter 7''''"dXX??U} I} } } } I } } } } $ } #} } } $ x@;@,w@,@Gw@6666 6    }K@0j"      !      "      ! "#$%$$$%###! ./01 00 2344/566 ./7 8 707 8 9/  1  566 ./01 1 101 1 1  1  566 ./01 1 101 1 1  1  566  . :  ;@;(@ ; 1 ;@;(@ ; 1 ; 566   # &ެ@&@$@d@ $ &@&\@#h@ #~ $z@ !   #  &d@&`i@$@ $ &W@&W@- -~ $@ !   # $X@$@'@ ' $k@$l@#Q@ #~ #@ !   # $(@&@$؋@ $ $r@$r@#E@ #~ #@ ! "()*+****))), "# 4&<<<&Phff&& >@    dMbP?_*+%" ??U>@   dMbP?_*+%"??U>@ Sheet1Sheet2Sheet3  Worksheets 6> _PID_GUIDAN{6FC31FC0-0879-11D3-88B3-0207011BD278} FMicrosoft Excel WorksheetBiff8Excel.Sheet.89q_989154959 F`-ľ۠ľOle ECompObj FfObjInfoHOh+'0@H`t Darrel Eklundx MMulryanlunMicrosoft Excel@P @l՜.+,D՜.+,, PXt | Kansas Water Office1Workbook U'SummaryInformation(IDocumentSummaryInformation8M_991642962; F ľ )ľ Ba=<#=h%8X1Arial1Arial1Arial1Arial1.Times New Roman1.Times New Roman1.Times New Roman"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)                + ) , *    # ! "8 "8@ @ !8@  (@@ #8@  (@  ( @  (@  8  8  ( #8  ( #8 "8 !8  (@ #8 !8@ !8  ( Sheet1%Sheet2l&Sheet32-CityPopulation Projections Local CommentsBel AireLatham Lecompton Mount HopeBPOPULATION CHANGE BETWEEN 1990 AND 1994 FOR SELECTED KANSAS CITIES a. U.S. Census BureauSherryl Cutter, City Clerk-The Census Bureau has revised the City's 19943population to 4,012; which is still too low. There2has been big growth. The KWO estimate is close to being right. b. KWO a. U.S. Census Bureau$ No change from 1990 to 1994Laura Burner, City Clerk7The City is at a standstill for growth and has been for5several years. They have no room for growth, unless 1they annex more land. They have five residential5water service connections outside of the city limits.Susie Hackathorn, City Clerk0The City has a slow and steady growth rate. KWOestimates are more accurate. Glenda Dick, City Clerk/No new population growth from 1990 to 1994, but-they did annex land to include existing water2customers; however there weren't very many people."The KWO estimate is more accurate., Increase of 239 people from 3,695 in$) 1990 to 3,934 in 1994.- Increase of 870 people from 3,695 in%* 1990 to 4,565 in 1994.* Increase of 43 people from 160 in$' 1990 to 203 in 1994.+ Increase of 213 people from 619 in%( 1990 to 832 in 1994.* Increase of 17 people from 619 in$' 1990 to 636 in 1994.+ Increase of 287 people from 805 in%( 1990 to 1,092 in 1994.) Increase of 3 people from 805 in#& 1990 to 808 in 1994.* đJ;vX 4 0 b͇ .P10Pw@$@ ԣ01.0 w Н0P\g$w P}$wgwgip0hT00t000zm00r E000rrt߿0rtt0pPercent0]PF~0P0\{0{T0T00}T{e0T{}բ0}T{|}{{}?10|}){{@kT0e0{T0}L0}{T0LkT00 $0 H}ڬp08ם0p00 / S]0x{l %0a0% -   dMbP?_*+%&?'?MN\\DABUDGET\DAQS21psXXLetter 7''''"dXX??U} } I }  } (} } $ 'xT0@@w  w  G g}0}  K!BPOPULATION CHANGE BETWEEN 1990 AND 1994 FOR SELECTED KANSAS CITIES  "##$" City Population Projections Local Comments"%&"'Bel Aire" a. U.S. Census Bureau#'Sherryl Cutter, City Clerk" #?, Increase of 239 people from 3,695 in$)6'-The Census Bureau has revised the City's 1994" #1 1990 to 3,934 in 1994.<'3population to 4,012; which is still too low. There" #;'2has been big growth. The KWO estimate is close to" #  b. KWO ' being right. " #@ - Increase of 870 people from 3,695 in%* '" #2  1990 to 4,565 in 1994. '" #'"  'Latham#  a. U.S. Census Bureau! 'Laura Burner, City Clerk " #=* Increase of 43 people from 160 in$'@'7The City is at a standstill for growth and has been for" #0 1990 to 203 in 1994.>'5several years. They have no room for growth, unless " #:'1they annex more land. They have five residential" # b. KWO>'5water service connections outside of the city limits." #-$ No change from 1990 to 1994 '"#'"' Lecompton# a. U.S. Census Bureau%'Susie Hackathorn, City Clerk" #>+ Increase of 213 people from 619 in%(9'0The City has a slow and steady growth rate. KWO" #0 1990 to 832 in 1994.%'estimates are more accurate."#'" # b. KWO '" #=* Increase of 17 people from 619 in$' '" #0 1990 to 636 in 1994. '"#'"' Mount Hope# a. U.S. Census Bureau $Glenda Dick, City Clerk" #>+ Increase of 287 people from 805 in%(8'/No new population growth from 1990 to 1994, but" #2 1990 to 1,092 in 1994.6'-they did annex land to include existing water" #;'2customers; however there weren't very many people."D lkdvYI`RsXrMzu4]Pv T0!"#xw@$%& #  b. KWO+ '"The KWO estimate is more accurate. " !#<!) Increase of 3 people from 805 in#& !#" "#0" 1990 to 808 in 1994. "'" #()* #+ #,$%&x_\P(>@#   dMbP?_*+%"??8 U>@   dMbP?_*+%"??8 U>@ Sheet1Sheet2Sheet3  Worksheets 6> _PID_GUIDAN{048B0760-0881-11D3-88B3-0207011BD278} FMicrosoft Excel WorksheetBiff8Excel.Sheet.89qOle UPRINT FCompObjVfObjInfoXi-  -    ''  Times New Roman|wgw? # -----Times New Roman|wgw " -Times New Roman|wgw K -------------"System  -'-  -- l !!---'---  --  $@W @W HH@----'--- LW <R W W vvW W @@W ---'---  R@ @W HW H@---'---  ---'--- k !!---'--- HX @---'--- Hg 0- - $WWHHW$HH$HHHHH&- - -B( -- !W- -- -&-$WvWvHHW-&- - -B( -- !W- -- -&-$WWHHW-&- - -B( -- !T- -- -&-$T T HHT----'---  HX @---'---   - @ HHHvv@@HHW \H\!H!\<H<\W HW --------'--- 1F 2 ~X Latham, KSC2!82SN8%2 Population Estimates=2882!28C'!S2!,'----'---  ---'---  ----'---    2 (0# 2 50## 2 l100### 2 Vl150### 2 l200### 2 l250###---'---  ---'---    2 N1990#### 2 i1994#### 2 1997####---'---  -----'--- [  2 #dYear3#----'---  --  S---'-- - Q---'-- - Q--  % 2  Census Bureau<%. . 8.%%*.---'--- Q---'--- Q- &- - -B( -- !//b- -- -&- %b- 2 KWOASA---'---  Q---'---   ---'---   - - l !!--'   '  'Oh+'0@H\p  Tina Rajala State of KSMicrosoft Excel@qy@q0՜.+,D՜.+,l PXt | 1Kansas Water Office1Workbook0=SummaryInformation(YDocumentSummaryInformation8]H_991642988+ FxľľLN \p State of KS Ba=  < =>M <X@"1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1_Arial1_Arial1_Arial1_Arial1_Arial1_Arial1_Arial1_Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1_Arial1_Arial1.Times New Roman1.Times New Roman1.Times New Roman"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)                + ) , *    `Chart2Bel Aire(Latham2 Lecomptony< Mount HopeESheet1J fig1-fig4yxFigure 1Figure 3Figure 4nFigure 2 H  3  @@  n Bel Aire Census BureauKWOLatham Lecompton Mount Hope Table 1 (without percent change) w`T00 `T0xw0|tw R4 Y0LHzwН0kaw0A`T0` O:ip0J~~Jn0)}0)%dT0,t00Azm00n E000nnp߿0ndpt0lTPercent0] =`T00\{0{T0T00}T{e0T{}բ0}T{|}{{}?10|}){{@kT0e0{T0}L0l@֜z0;;d{0cT0;;}0RT0llLz0l;6%0;` 0  MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#?` 4#@` AGA` AGB` 7CPH0(  IP31dd23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O  f+ # i@zaB]"I<9k_( 5% MM<4E4D $% M 3O&@Q4$% M 3O&?Q4FAwz E3O_3 b#M&A43*#M&A! M4%  {+M3O &AQ  Year'4523 M  43" #+3O#% M3O&BQ443_ M NM  MM< 444% R{M03OG&CQ BLatham, KS Population Estimates'4% M=3OQ'4% M=3OQ'44e@@(@(@4@4@ed@d@`i@d@d@ d@e> 1d  MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ;Q ;Q3_4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O&Q4$% M 3O&Q4FA _Y 3O545 3 b#M43*#M! M4%  M3O &Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% OUM03OT&Q N%Population Estimates City of Bel Aire'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4# ` 4# ` 4# ` 4# 0 0 3d 3Q:  Census BureauQ ;Q ;Q3_4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O& Q4$% M 3O& Q4FA_ 3O/Ad 3 b#M43*#M! M4% M3O& Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% eNM03O& Q J#Population Estimates City of Latham'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@ed@d@`i@d@d@ d@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4# ` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ; Q ;Q3_4E4 3Q:  KWOQ ; Q ;Q3_4E4D$% M 3O& Q4$% M 3O&Q4FAs 3O/.A 3 b#M43*#M! M4% M3O&Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% ^NKM03O~&&Q P&Population Estimates City of Lecompton'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@eX@X@@@@h@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ;Q ;Q3_ O   MM< 4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O&Q4$% M 3O&Q4FAs 3O/.A 3 b#M43*#M! M4% M3O&Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% ^NKM03O~&&Q R'Population Estimates City of Mount Hope'4% >M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e>    dMbP?_*+%"??U} IT0w  0] Ya } }}0]   @(@4@ ެ@@@ ެ@ձ@<@   d@`i@d@ d@d@ d@      X@@@  X@@h@   (@@(@ (@@@@*h********>@   dMbP?_*+%&?'\(\?(?)?MN\\RAIN\HP LaserJet 4 Plus (NortpsXXLetter 76''''"dX??U( (  p  6NMO?` ]A  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` K!` AG%` AG(J@3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FA 3O] 3 b#M&(43*#M&(! M4%   M3O&(Q  Year'4523  O43" ?03O?% M3O&%Q443_ M NM  MM< 444% UrM03O(&!Q \,FIGURE 2 City of Latham Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@ed@d@`i@d@d@ d@e xp  6NMO?]LB  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` Z ` AG$` AG'PH00(  J@3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FAW 3O] 3 b#M&'43*#M&'! M4%    M3O&'Q  Year'4523  O43" ?03O?% M3O&$Q443_ M NM  MM< 444% UM03O(& Q `.FIGURE 1 City of Bel Aire Population Estimates'4% MB3OQ'4% MB3OQ'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e xp  6NMO? (]DD  "DD??3` 4#` 4#` [` [` W"` W)G?3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FAR 03O^?< 3 b#M&43*#M&)! M4%  { M3O&Q  Year'4523  O43" -?3O-% M3O&"Q443_ M NM  MM< 444% M M03O!*&Q d0FIGURE 4 City of Mount Hope Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e xp  6NMO?(]D  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` &j` 2W#` 2W&I?3d23 O NM4 3Q:  Census BureauQ ; Q ;Q3_ O   MM<4E4 3Q:  KWOQ ; Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FA 03O]?< 3 b#M&&43* @Y@#M&&! M4% { M3O&&Q  Year'4523  O43" -?3O-% M3O&#Q443_ M NM  MM< 444% M6 M03O*&Q b/FIGURE 3 City of Lecompton Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eX@X@@@@h@e >@   dMbP?_*+%"??oU@ (   p  6NMO?]I  MN\\RAIN\HP LaserJet 4 Plus (NortpsXXLetter 76''''"dX??3` Z*` AG+` 4#,` 4#-` AG.K3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&-Q4$% M 3O&,Q4FAY 3O] 3 b#M&+43*#M&+! M4%   M3O&+Q  Year'4523  O43" #@/3O#@% M3O&.Q443_ M NM  MM< 444% UM03O(&*Q `.FIGURE 1 City of Bel Aire Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e   >@   dMbP?_*+%"??oUP(  p  6NMO?]N  "N??3` &j4` 2W5` 4#6` 4#7` 2W8J3d23 O NM4 3Q:  Census BureauQ ; Q ;Q3_ O   MM<4E4 3Q:  KWOQ ; Q ;Q3_ O 3f  MM<4E4D $% M 3O&7Q4$% M 3O&6Q4FA 73O]<A 3 b#M&543* @Y@#M&5! M4% } M3O&5Q  Year'4523  O43" />3O/% M3O&8Q443_ M NM  MM< 444% L0 M03O*&4Q b/FIGURE 3 City of Lecompton Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eX@X@@@@h@e >@     dMbP?_*+%"??oU`(  p  6NMO?P]@Q  "@Q??3` [9` [:` 4#;` 4#<` W=` W>H3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&<Q4$% M 3O&;Q4FAS 73O]<A 3 b#M&:43*#M&>! M4% } M3O&:Q  Year'4523  O43" />3O/% M3O&=Q443_ M NM  MM< 444% L M03O!*&9Q d0FIGURE 4 City of Mount Hope Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e >@   dMbP?_*+%"??oUp(  p  6NMO?]S  "S??3` K/` AG0` 4#1` 4#2` AG3K3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&2Q4$% M 3O&1Q4FA 3O] 3 b#M&043*#M&0! M4%   M3O&0Q  Year'4523  O43" @/3O@% M3O&3Q443_ M NM  MM< 444% UmM03O(&/Q \,FIGURE 2 City of Latham Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@ed@d@`i@d@d@ d@e >@  Sheet1 fig1-fig4 Figure 1 Figure 3 Figure 4 Figure 2Chart2 Bel AireLatham Lecompton Mount Hope  WorksheetsCharts 6> _PID_GUIDAN{86C08531-0A24-11D3-BDFA-006067309CE2}Ole gPRINTdCompObjhfObjInfo!ji-  -    ''  Times New Roman|wgw 6 -Times New Roman|wgwG -Times New Roman|wgw 7 -Times New Roman|wgw -Times New Roman|wgw -Times New Roman|wgw 8 ------Times New Roman|wgw ; -Times New Roman|wgw   -------------"System  -'-  - -   !!- - -'-- -   -   $W W - - - -'-- -  W \@ @W W W ddW - - -'-- -   \ W W - - -'-- -   - - -'-- -   !!- - -'-- -  X - - -'-- -  g - -   $$KKK$&- -  -B( -- !- - -- &- $tt- &- -  -B( -- !- - -- &- $- &- -  -B( -- !- - -- &- $  - - - -'-- - X - - -'-- -  - @@ddW ;;W W ------ - -'-- - lD 2 u2 Lecompton, KS<((-K2-2F2%2 Population Estimates7-22--2<#K-(#-- - -'-- -  - - -'-- -  -- - -'-- -    2 0" 2 !l200'""" 2 l400'""" 2 l600'""" 2 El800'"""- - -'-- -  - - -'-- -    2 +M1990"""" 2 +i1994"""" 2 +1997""""- - -'-- -  --- - -'-- - [  2 dYear2"-- - -'-- -  --  \- - -'--- ]- - -'--- ]- -  2  Census Bureau<%. . 8.%%*.- - -'---  ]- - -'---  ]- &- -  -B( - - !//a-  -  --&-  a- 2 KWO\ASA- - -'--- ]- - -'---  - - -'---  - -   !!--  '   '  ' FMicrosoft Excel WorksheetBiff8Excel.Sheet.89qOh+'0@H\p  Tina Rajala State of KSMicrosoft Excel@qy@q0՜.+,D՜.+,WorkbookASummaryInformation( "kDocumentSummaryInformation8oH_991643270C% F0ľ<ľ \p State of KS Ba= <(=>M O <X@"1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1_xArial1_xArial1_xArial1_xArial1_xArial1_xArial1_xArial1_xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1xArial1_xArial1_xArial1xArial1xArial1xArial1_xArial1_xArial1xArial1xArial1xArial1_xArial1_xArial1xArial1xArial1xArial1_xArial1_xArial1xArial1xArial1_xArial1_xArial1.xTimes New Roman1.xTimes New Roman1.xTimes New Roman"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)                + ) , *    `Chart3Bel Aire(Latham2 Lecompton< Mount HopeESheet1J fig1-fig4xFigure 1Figure 3Figure 4tFigure 2 H  3  @@  n Bel Aire Census BureauKWOLatham Lecompton Mount Hope Table 1 (without percent change) w`T00 `T0xw0|tw p4 dRa 0WwLHzwН0kaw0P>`T0xP'Otw@w8w`T0ip0p~~ptLHzw wkaw0`T00pT0,t00Szm00n E000nnp߿0n0ppt0lePercent0]#~0A`T0e0\{0{T0T00}T{e0T{}բ0}T{|}{{}?10|}){{@kT0e0{T0}L0l@֜z0d{0cT0}0RT0llLz0l6%0` 0  MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#?` 4#@` 2WA` ;B` ;CPH0(  IL.31dd23 O  4 3Q:  Census BureauQ ; Q ;Q3_ O   MM<4E4 3Q:  KWOQ ; Q ;Q3_ O  f+ # i@zaB]"I<9k_( 5% MM<4E4D $% M 3O&@Q4$% M 3O&?Q4FAbz 3O_3 b#M&A43* @i@#M&A! M4% ] {=M3O &AQ  Year'4523 M  43"  =3O % M3O&CQ443_ M NM  MM< 444% LVyM03OF&BQ H"Lecompton, KS Population Estimates'4% Mp 3OQ'4% Mp 3OQ'44e@@(@(@4@4@eX@X@@@@h@e> 1d  MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ;Q ;Q3_4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O&Q4$% M 3O&Q4FA _Y 3O545 3 b#M43*#M! M4%  M3O &Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% OUM03OT&Q N%Population Estimates City of Bel Aire'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4# ` 4# ` 4# ` 4# 0 0 3d 3Q:  Census BureauQ ;Q ;Q3_4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O& Q4$% M 3O& Q4FA_ 3O/Ad 3 b#M43*#M! M4% M3O& Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% eNM03O& Q J#Population Estimates City of Latham'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@ed@d@`i@d@d@ d@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4# ` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ; Q ;Q3_4E4 3Q:  KWOQ ; Q ;Q3_4E4D$% M 3O& Q4$% M 3O&Q4FAs 3O/.A 3 b#M43*#M! M4% M3O&Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% ^NKM03O~&&Q P&Population Estimates City of Lecompton'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@eX@X@@@@h@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ;Q ;Q3_ O   MM< 4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O&Q4$% M 3O&Q4FAs 3O/.A 3 b#M43*#M! M4% M3O&Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% ^NKM03O~&&Q R'Population Estimates City of Mount Hope'4% >M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e>    dMbP?_*+%"??U} IT0>  0 Ya } }}0   @(@4@ ެ@@@ ެ@ձ@<@   d@`i@d@ d@d@ d@      X@@@  X@@h@   (@@(@ (@@@@*h********>@   dMbP?_*+%&?'\(\?(?)?MN\\RAIN\HP LaserJet 4 Plus (NortpsXXLetter 76''''"dX??U( (  p  6NMO?` ]P$  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` K!` AG%` AG(J@3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FA 3O] 3 b#M&(43*#M&(! M4%   M3O&(Q  Year'4523  O43" ?03O?% M3O&%Q443_ M NM  MM< 444% UrM03O(&!Q \,FIGURE 2 City of Latham Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@ed@d@`i@d@d@ d@e xp  6NMO?]$  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` Z ` AG$` AG'PH00(  J@3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FAW 3O] 3 b#M&'43*#M&'! M4%    M3O&'Q  Year'4523  O43" ?03O?% M3O&$Q443_ M NM  MM< 444% UM03O(& Q `.FIGURE 1 City of Bel Aire Population Estimates'4% M%3OQ'4% M%3OQ'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e xp  6NMO? (]&  "&??3` 4#` 4#` [` [` W"` W)G?3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FAR 03O^?< 3 b#M&43*#M&)! M4%  { M3O&Q  Year'4523  O43" -?3O-% M3O&"Q443_ M NM  MM< 444% M M03O!*&Q d0FIGURE 4 City of Mount Hope Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e xp  6NMO?(]'  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` &j` 2W#` 2W&I?3d23 O NM4 3Q:  Census BureauQ ; Q ;Q3_ O   MM<4E4 3Q:  KWOQ ; Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FA 03O]?< 3 b#M&&43* @Y@#M&&! M4% { M3O&&Q  Year'4523  O43" -?3O-% M3O&#Q443_ M NM  MM< 444% M6 M03O*&Q b/FIGURE 3 City of Lecompton Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eX@X@@@@h@e >@   dMbP?_*+%"??oU@ (   p  6NMO?],  MN\\RAIN\HP LaserJet 4 Plus (NortpsXXLetter 76''''"dX??3` Z*` AG+` 4#,` 4#-` AG.K3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&-Q4$% M 3O&,Q4FAY 3O] 3 b#M&+43*#M&+! M4%   M3O&+Q  Year'4523  O43" #@/3O#@% M3O&.Q443_ M NM  MM< 444% UM03O(&*Q `.FIGURE 1 City of Bel Aire Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e   >@   dMbP?_*+%"??oUP(  p  6NMO?]1  "1??3` &j4` 2W5` 4#6` 4#7` 2W8J3d23 O NM4 3Q:  Census BureauQ ; Q ;Q3_ O   MM<4E4 3Q:  KWOQ ; Q ;Q3_ O 3f  MM<4E4D $% M 3O&7Q4$% M 3O&6Q4FA 73O]<A 3 b#M&543* @Y@#M&5! M4% } M3O&5Q  Year'4523  O43" />3O/% M3O&8Q443_ M NM  MM< 444% L0 M03O*&4Q b/FIGURE 3 City of Lecompton Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eX@X@@@@h@e >@     dMbP?_*+%"??oU`(  p  6NMO?P]3  "3??3` [9` [:` 4#;` 4#<` W=` W>H3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&<Q4$% M 3O&;Q4FAS 73O]<A 3 b#M&:43*#M&>! M4% } M3O&:Q  Year'4523  O43" />3O/% M3O&=Q443_ M NM  MM< 444% L M03O!*&9Q d0FIGURE 4 City of Mount Hope Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e >@   dMbP?_*+%"??oUp(  p  6NMO?]P6  "P6??3` K/` AG0` 4#1` 4#2` AG3K3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&2Q4$% M 3O&1Q4FA 3O] 3 b#M&043*#M&0! M4%   M3O&0Q  Year'4523  O43" @/3O@% M3O&3Q443_ M NM  MM< 444% UmM03O(&/Q \,FIGURE 2 City of Latham Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@ed@d@`i@d@d@ d@e >@ l PXt | 1Kansas Water Office1  Sheet1 fig1-fig4 Figure 1 Figure 3 Figure 4 Figure 2Chart3 Bel AireLatham Lecompton Mount Hope  WorksheetsCharts 6> _PID_GUIDAN{86C08531-0A24-11D3-BDFA-006067309CE2} FMicrosoft Excel WorksheetBiff8Excel.Sheet.89qOh+'0@H\p  Tina Rajala State of KSMicrosoft Excel@qOle yPRINT$'CompObjzfObjInfo&)|:-  -    ''  Times New Roman|wgw -{Times New Roman|wgw -----Times New Roman|wgw ----"System  -'-  --  !!---'---  --  $r r ----'--- r y ~  r r r r ---'---  y ~  r r ---'---  ---'---  !!---'--- s ---'---  - - $}||}}|$lIIllI$Z |z |z Z Z |&- - -B( -- !] |- -- -&-$|||-&- - -B( -- !ax- -- -&-$xxx-&- - -B( -- !l mz - -- -&-$z m m z z m----'---  s ---'---   -  r   r r --------'--- a W 2 Mount Hope, KS~CJJ,!hCJ;!!hJ%2 SPopulation EstimatesQCJJ%C,%CJ!Y4,%oC,;4----'---  ---'---  ----'---    2 /02 2 250222 2 500222 2 7502222 ~1,0002222---'---  ---'---    2 I919902222 2 I(19942222 2 I 19972222---'---  -----'---    2  #YearH,2,----'---  --  z ~ ---'-- - x } ---'-- - x } --  $ : 2 S Census BureauT4A-A-NA44:A---'--- x } ---'--- x } - &- - -B( -- !AA - -- -&- $  - 2  KWO[u[---'---  x } ---'---   ---'---   - -  !!--'   '  'WorkbookSummaryInformation((*}DocumentSummaryInformation8H_991644565#3- FNľYľ      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJMOUPQRSTabWXYZ[\]^_`c>Tghijklmnopqrstuvwxyz{|}~ \p State of KS Ba= <( =>\ <X@"1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1_Arial1_Arial1_Arial1_Arial1_Arial1_Arial1_Arial1_Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1Arial1.Times New Roman1.Times New Roman1.@Times New Roman1.Times New Roman"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)                + ) , *    `6Chart4=Bel Aire!)Latham3 Lecompton< Mount HopeUFSheet1VK fig1-fig4xFigure 1&Figure 3Figure 4ܚFigure 2 H  3  @@  n Bel Aire Census BureauKWOLatham Lecompton Mount Hope Table 1 (without percent change) w`T0P" !`T0xwP"|tw n 4! !dRa 0WwLHzwН0kawP"<`T0Ȉ""Ow`T0ip0f ~~f ttLtw@w 8w`T0 T0,t00<zm00n E000nnp߿0n pt0lpPercent0]~0`T0 0\{0{T0T00}T{e0T{}բ0}T{|}{{}?10|}){{@kT0e0{T0}L0l@֜z0d{0cT0}0RT0llLz0l6%0` 0  MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#?` 4#@` WA` [B` q@CPH0(  I,M32d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O  f+ # i@zaB]"I<9k_( 5% MM<4E4D$% M 3O&@Q4$% M 3O&?Q4FAI K3O^ix 3 b#M&B43*@@o@D@#M&A! M4%   y#M3O &BQ  Year'4523 M  43" < S3O< % M3O&DQ423 M NM443_ M NM  MM< 444% !IrFM03OJ&CQ J#Mount Hope, KS Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e> 2  MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ;Q ;Q3_4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O&Q4$% M 3O&Q4FA _Y 3O545 3 b#M43*#M! M4%  M3O &Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% OUM03OT&Q N%Population Estimates City of Bel Aire'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4# ` 4# ` 4# ` 4# 0 0 3d 3Q:  Census BureauQ ;Q ;Q3_4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O& Q4$% M 3O& Q4FA_ 3O/Ad 3 b#M43*#M! M4% M3O& Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% eNM03O& Q J#Population Estimates City of Latham'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@ed@d@`i@d@d@ d@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4# ` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ; Q ;Q3_4E4 3Q:  KWOQ ; Q ;Q3_4E4D$% M 3O& Q4$% M 3O&Q4FAs 3O/.A 3 b#M43*#M! M4% M3O&Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% ^NKM03O~&&Q P&Population Estimates City of Lecompton'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@eX@X@@@@h@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ;Q ;Q3_ O   MM< 4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O&Q4$% M 3O&Q4FAs 3O/.A 3 b#M43*#M! M4% M3O&Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% ^NKM03O~&&Q R'Population Estimates City of Mount Hope'4% >M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e>    dMbP?_*+%"??U} IT0  0 Ya } }}0   @(@4@ ެ@@@ ެ@ձ@<@   d@`i@d@ d@d@ d@      X@@@  X@@h@   (@@(@ (@@@@*h********>@   dMbP?_*+%&?'\(\?(?)?MN\\RAIN\HP LaserJet 4 Plus (NortpsXXLetter 76''''"dX??U( (  p  6NMO?` ]  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` K!` AG%` AG(J@3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FA 3O] 3 b#M&(43*#M&(! M4%   M3O&(Q  Year'4523  O43" ?03O?% M3O&%Q443_ M NM  MM< 444% UrM03O(&!Q \,FIGURE 2 City of Latham Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@ed@d@`i@d@d@ d@e xp  6NMO?]  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` Z ` AG$` AG'PH00(  J@3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FAW 3O] 3 b#M&'43*#M&'! M4%    M3O&'Q  Year'4523  O43" ?03O?% M3O&$Q443_ M NM  MM< 444% UM03O(& Q `.FIGURE 1 City of Bel Aire Population Estimates'4% M@3OQ'4% M@3OQ'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e xp  6NMO? (]  "??3` 4#` 4#` [` [` W"` W)G?3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FAR 03O^?< 3 b#M&43*#M&)! M4%  { M3O&Q  Year'4523  O43" -?3O-% M3O&"Q443_ M NM  MM< 444% M M03O!*&Q d0FIGURE 4 City of Mount Hope Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e xp  6NMO?(]<  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` &j` 2W#` 2W&I?3d23 O NM4 3Q:  Census BureauQ ; Q ;Q3_ O   MM<4E4 3Q:  KWOQ ; Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FA 03O]?< 3 b#M&&43* @Y@#M&&! M4% { M3O&&Q  Year'4523  O43" -?3O-% M3O&#Q443_ M NM  MM< 444% M6 M03O*&Q b/FIGURE 3 City of Lecompton Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eX@X@@@@h@e >@   dMbP?_*+%"??oU@ (   p  6NMO?]  MN\\RAIN\HP LaserJet 4 Plus (NortpsXXLetter 76''''"dX??3` Z*` AG+` 4#,` 4#-` AG.K3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&-Q4$% M 3O&,Q4FAY 3O] 3 b#M&+43*#M&+! M4%   M3O&+Q  Year'4523  O43" #@/3O#@% M3O&.Q443_ M NM  MM< 444% UM03O(&*Q `.FIGURE 1 City of Bel Aire Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e   >@   dMbP?_*+%"??oUP(  p  6NMO?]  "??3` &j4` 2W5` 4#6` 4#7` 2W8J3d23 O NM4 3Q:  Census BureauQ ; Q ;Q3_ O   MM<4E4 3Q:  KWOQ ; Q ;Q3_ O 3f  MM<4E4D $% M 3O&7Q4$% M 3O&6Q4FA 73O]<A 3 b#M&543* @Y@#M&5! M4% } M3O&5Q  Year'4523  O43" />3O/% M3O&8Q443_ M NM  MM< 444% L0 M03O*&4Q b/FIGURE 3 City of Lecompton Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eX@X@@@@h@e >@     dMbP?_*+%"??oU`(  p  6NMO?P]  "??3` [9` [:` 4#;` 4#<` W=` W>H3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&<Q4$% M 3O&;Q4FAS 73O]<A 3 b#M&:43*#M&>! M4% } M3O&:Q  Year'4523  O43" />3O/% M3O&=Q443_ M NM  MM< 444% L M03O!*&9Q d0FIGURE 4 City of Mount Hope Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e >@   dMbP?_*+%"??oUp(  p  6NMO?]d  "d??3` K/` AG0` 4#1` 4#2` AG3K3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&2Q4$% M 3O&1Q4FA 3O] 3 b#M&043*#M&0! M4%   M3O&0Q  Year'4523  O43" @/3O@% M3O&3Q443_ M NM  MM< 444% UmM03O(&/Q \,FIGURE 2 City of Latham Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@ed@d@`i@d@d@ d@e >@ y@q0՜.+,D՜.+,l PXt | 1Kansas Water Office1  Sheet1 fig1-fig4 Figure 1 Figure 3 Figure 4 Figure 2Chart4 Bel AireLatham Lecompton Mount Hope  WorksheetsCharts 6> _PID_GUIDAN{86C08531-0A24-11D3-BDFA-006067309CE2}Y7 F    ''  '  '  Ole PRINT,/L CompObjfObjInfo.1Times New Roman|wgw -Times New Roman|wgw -Times New Roman|wgw - 2 _RSource.**%% 2 _2000**** 2 _2005**** 2 _2010**** 2 _ 2015**** 2 _ 2020**** 2 _. 2025**** 2 RKWO5<O<2 q2,690****2 2,797****2 2,903****2  3,010****2  3,117****2  3,224**** 2 fRKDOB<<<82 fq2,563****2 f2,605****2 f2,646****2 f 2,688****2 f 2,724****2 f 2,750****$2 RUS Census, Series A<.8%* * .%% <2 q2,668****2 2,761****2 2,850****2  2,939****2  3,024****2  3,108****$2 ?RUS Census, Series B<.8%* * .%% 82 ?q2,675****2 ?2,788****2 ?2,911****2 ? 3,034****2 ? 3,154****2 ? 3,273****-"System  -'- E   2 Year<%*%--'-  (G F2 @*Table 3: Population Projections by SourceC28,2!=2882!28=,2!,,!28'82828,,,-'- , G 2 g(in thousands)!8!828'288'!-'-  4G 2 LKANSAS 2000-2025NHH8H82222!2222-'-  -'-  - - ??- ! ?-(  - !( - G - ! G-G - ! G-G - ! G-G - ! G--'-  ' FMicrosoft Excel WorksheetBiff8Excel.Sheet.89qOh+'08@Th  MMulryan  State of KSMicrosoft Excel@dWorkbookVSummaryInformation(02DocumentSummaryInformation8_991646342PHQ45 Ffľľ \p State of KS Ba=< =--} <X@"1.Times New Roman1.Times New Roman1.Times New Roman1.Times New Roman1.Times New Roman1.Times New Roman"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)                + ) , *  "8   $ "8@ "8  @    $  @     0@ 4 4 "8 "8 "8@ @ "8@ "8@ ` Sheet1Sheet2Sheet3 KANSAS 2000-2025SourceKWOKDOBUS Census, Series AUS Census, Series BYear*Table 3: Population Projections by Source(in thousands)  đ;v0@4T0v0@-0.L10Li@@ ԣ0w`T0Н0$ \S?w\__tw@w8w`T0ip0~~tLHzw wkaw`T0T0,t00 zm00n E000nnp߿0npt0lpPercent0]L~0~0LNz0 zT0\{e0\{{T00{T0T00}T{e0T{}բ0}T{|}{{}?10|}){{@kT0e0{T0}L0}{T0LkT00 $0(}(}e0oman x}"0}k0(}   dMbP?_*+%MNHP LaserJet 4pcXXLetter 7''''"dX??U} } }    K@ ; ;wL ;G iw@ @  i@ }      w@  K@ %%%%%%% &&&&&&& ''''''' #####$ *@@T@h@|@@@ *@ڥ@@@Z@0@ * @Z@@@H@|@  * ؤ@@D@@@H@   * !@!ȥ@!@!@!@"@  j&&&.FFFFF>@"   dMbP?_*+%"??U>@   dMbP?_*+%"??U>@ ՜.+,D՜.+,( PXp x State of Kansas1 Sheet1Sheet2Sheet3  Worksheets 6> _PID_GUIDAN{4CC52FC7-136A-11D3-A4A3-00104B2EE32D}Ole PRINT47fCompObjfObjInfo69 FMicrosoft Excel WorksheetBiff8Excel.Sheet.89qOh+'0@H\p  Tina Rajala State of KSMicrosoft Excel@#s@#v      !"#$%&'()*+,-./0123456789:;<=U@ABCDEFGHIJKLMNOPQRSVmXYZ[\]^_`abcdefghijklopqrstuvwxyz{|}~E(      S''  Times New Roman|wgw  -jTimes New Roman|wgw   -----Times New Roman|wgw  -Roman |w|wgw --Roman =|w|wgw = ----Roman Q|w|wgw Q -"Systemw f7  -'-  S-'-  S-- $***--- -'---  *n w* **,*,*=*=*O*O*-- -'---  S-- -'--- &n w * *   -- -'---  Sn w- * **-- -'---   S- * *-****,,**==**OO***$**$$$* * $  $-- -'---  2!!-- -'--- 1-- -'--- .-- @* gg* *   4- 8** *   o- *ZZ(* (*   f- %*((* * ) ) @*- -  $*Pff*-- -'-- -  .  $-- -'-- -  .g  $AZA-- -'-- -  .*   $* P # #* -- -'-- -  .   $ r   r-- -'-- -  .4  $ZZZ-- -'-- -  .8*- -  aS-8*8*^P8*^8*P8**8*^*-- -'--- .- --- -'--- .- GY-ZDDZD-- -'--- .* - S e -* f * P *  * fP * f* * * -- -'--- . - '  -   $  $      $ -- -'--- .o- HY-oIZooZoIoIo-- -'--- .*- -  P-- -'-- -  . e-- -'-- -  .Z 4Z-- -'-- -  .(*  NP  -- -'-- -  .  $  -- -'-- -  . Z-- -'-- -  .%*f- f-   $*P%*K%*-- -'---  . $-- -'---  .( $(NZ(-- -'---  .*  $* P *  * -- -'---  .)  $  ) O ) -- -'---  . $Z-- -'---  .-- -'---  1-- -'---   S------- -'---  K Q C2 (Kansas Population Projections: 2000-2025uKS:K:&\KSS*K2*KS&\CK2CC2*KS:2&KKKK2KKKK2 l by Source SK&SKSCCC--- -'---   S-- -'---   S--- -'---   S 2 2,50022222 d2,60022222 2,70022222 v2,80022222 2,90022222 3,00022222 3,10022222 3,20022222 "3,30022222 3,4002222-- -'---   S-- -'---   S  2 x20002222 2 xq20052222 2 x20102222 2 x 20152222 2 xq 20202222 2 x20252222-- -'---   S-Roman |w|wgw - -Roman C|w|wgw C ----Roman S|w|wgw S - -- -'---  $`-Roman E|w|wgw E - -  - A SS.u(T~- -Roman 6|w|wgw 6 - -- -'- --   S-- - o w-- -'--- m v-- -'--- m v-   w --  $  84 4  2  Series A.%%% <-- -'---  m v-- -'---  m v-    A --7  -   4  4      4 2  SSeries B.%%% 8-- -'--- m v-- -'--- m v- Z     -- 4   2   KDOBA<A8-- -'---  m v-- -'---  m vf-     K f- f-$K  c  K 4 3  K   2  KWO ASA-- -'-- - m v-- -'-- -  S-- -'-- -  S- -'  S '  'Workbook?(SummaryInformation(8:DocumentSummaryInformation8_991572238= FľPľ \p State of KS Ba=<=>u<X@"1Arial1Arial1Arial1Arial1Arial1Arial1.Times New Roman1.Times New Roman1.Times New Roman1.hTimes New Roman"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_) 00000                + ) , *    " `z Chart1Sheet1%Sheet2&Sheet3~ Source POPULATION PROJECTIONS BY SOURCEKANSAS 1995-2025YearKDOBKWOkwokdobSeries ASeries B  đRl;v0@4T0v0@-0.L10L@ bԣ0w`T0Н0$ @ tw@w8w`T0ip0Z~~ZtLHzw wkaw`T0dT0,t002zm00n E000nnp߿0ndpt0lpPercent0]L~0~0L 0\{0{T0T00}T{e0T{}բ0}T{P{{V00 {{kT0e0{T0}L0}{T0LkT00 %0ث}Ǭp0p00  E  S]0 <"{h$ %0a0  MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#` 4#` $z` $z` &h }أ(3Cdd 3Q: Series AQ ;Q ;Q3_  NM  43_  NM  43_  NM  43_  NM  43_  NM  43_  NM  4E4 3Q: Series BQ ;Q ;Q3_  NM  N4E4 3Q:   KDOBQ ; Q ;Q3_  NM  4E4 3Q:   KWOQ ; Q ;Q3_ f NM  ff4E4D$% M 3O&Q4$% M 3O&Q4FAg M3OJ 3 b#M&! M43*@#M&! M4% H7MZ3O*&Q  Thousands'4523  NM43" 63O% M3O& Q423 M NM4444% M M03O&/& Q h2Kansas Population Projections: 2000-2025 by Source'44e@@@@@@@@T@T@T@T@h@h@h@h@|@|@|@|@@@@@@@@@eؤ@@z@-@@ȥ@SY@&1٥@D@@/$ƫ@ p@@@GzT@ყ@@@㥛`G@VNY@H@@Dl;@~j|/@e> ~jCd   dMbP?_*+%MN\\RAIN\HP LaserJet 4 Plus (NortpsXXLetter 76''''"dX??U} m$}  T0 G G   w     *@@T@h@|@@@  *V62V9  **m@Cd*     dMbP?_*+%"??U>@   dMbP?_*+%"??U>@ %"??U>@ ՜.+,D՜.+,P  PXt | Kansas Water Office1 Sheet1Sheet2Sheet3Chart1  WorksheetsCharts 6> _PID_GUIDAN{ACF7C9CD-E20A-11D2-BDEF-006067309CE2}Ole PRINT<?Wt+CompObjfObjInfo>A FMicrosoft Excel WorksheetBiff8Excel.Sheet.89qOh+'0@H`t Darrel Eklundx State of KSMicrosoft Excel@ @'U8==  i   G;''  ' F:' F:Times New Roman|wgwq - 2 $Table 2:  i2 $APopulation Estimate Comparison--Summary of Local Officials' Input    # # ##        2 vCity %2 vPopulation Estimates    #2 vLocal Comments ##Times New Roman|wgw -2 Bel Aire  *2 a. U.S. Census Bureau::     02 Sherryl Cutter, City Clerk:        Times New Roman|wgwi  --"System  -'- ):--- 12 Increase of 239 people from       -2 3,695 - !^"-- 2 L in -Times New Roman|wgwc c -E2 )"The Census Bureau has revised the city'sg         -'- F:----'- _:---- 2 71990 to   -2 73,934 - !^X--2 7 in 1994.e   --I2 7,1994 population to 4,012; which is still too           -'- F: E2 m)low. There has been big growth. The KWOg          #-+2 b. Kansas Water Office:  '    -:2 "estimate is close to being right."           ----'- :--- 12 Increase of 870 people from       -2 3,695 - !^-- 2 L in --'- F:---'- 7:--- 2 1990 to   -2 4,565 - !^0--2  in 1994.e   --'- F: 2 {Latham  *2 {a. U.S. Census Bureau::     -2 {Laura Burner, City Clerk:       ---'- :--- 02 Increase of 43 people from       - 2 160`- !?-- 2  in --N2 /"The city is at a standstill for growth and has            -'- F:----'- :--- 2 1990 to   - 2 203a- !?--2  in 1994.e   --I2 ,been for several years. No room for growth,         -'- F: L2 .unless more land is annexed. Five residential           -+2 Sb. Kansas Water Office:  '    -K2 S-water service connections are located outside           -12 No change from 1990 to 1994.      -!2 the city limits."      -2  Lecomptone  *2 a. U.S. Census Bureau::     32 Susie Hackathorn, City Clerk:        ---'- S:!--- 12 +Increase of 213 people from       - 2 +619b- !?L-- 2 +- in --I2 +,"The city has a slow and steady growth rate.              -'- F:----'- :W--- 2 a1990 to   - 2 a832c- !?--2 a in 1994.e   --I2 a,The Kansas Water Office's estimates are more  #         -'- F: 2  accurate."  -+2 b. Kansas Water Office:  '    ---'- +:--- 02 Increase of 17 people from       - 2 619d- !?$-- 2  in --'- F:---'- a:/--- 2 91990 to   - 2 9636e- !?Z--2 9 in 1994."   --'- F: 2 Mount% 2 ;Hope*2 a. U.S. Census Bureau::     +2 Glenda Dick, City Clerk:        ---'- ":--- 12 Increase of 287 people from       - 2 805f- !?-- 2 - ine --@2 &"No new population growth from 1990 to         -'- F:----'- X:&--- 2 01990 to   -2 01,092 - !^Q--2 0 in 1994."   --F2 0*1994. Land was annexed to include existing         -'- F: I2 f,water customers. However, there weren't many       -+2 b. Kansas Water Office:  '    -B2 'people included in the annexation. The        ----'- :--- .2 Increase of 3 people from       - 2 805h- !?-- 2  ine --@2 &Kansas Water Office's estimate is more #         -'- F:----'- 0:--- 2 1990 to   - 2 808i- !?)--2  in 1994."   --2  accurate."  -'- F:--'- C:4  2   -'- F:-'- G;- -G- !G-7G7- !C7-;- !7-*- !-CC;- !7C- -'- F:'Workbookn"SummaryInformation(@BDocumentSummaryInformation8_991643019E Fp!ľ #Hľ \p State of KS Ba=<$=-9<<X@"1Arial1Arial1Arial1Arial1.Times New Roman1.Times New Roman1.Times New Roman1.Times New Roman"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)83_("$"* #,##0\);\("$"* \(#,##0\);\("$"* "--"\);\(@\)1,_("$"* #,##0\);\("$"* \(#,##0\);* "--";\(@\)                + ) , *    # #  (@@  (@ #8@  ( @  (@  (  ( #8  (@  ( !8 "8 !8@ !8  8  8 !8 !8 !8 !8 "8 `Sheet1M Sheet26!Sheet3}81 LecomptonBel AireLathamCityTable 2:APopulation Estimate Comparison--Summary of Local Officials' InputPopulation EstimatesLocal Commentsa. U.S. Census Bureau:Sherryl Cutter, City Clerk:b. Kansas Water Office:Laura Burner, City Clerk:No change from 1990 to 1994.Susie Hackathorn, City Clerk:Glenda Dick, City Clerk: accurate.","The city has a slow and steady growth rate.,The Kansas Water Office's estimates are more'people included in the annexation. The&Kansas Water Office's estimate is more,been for several years. No room for growth,.unless more land is annexed. Five residential-water service connections are located outsidethe city limits."/"The city is at a standstill for growth and has)"The Census Bureau has revised the city's,1994 population to 4,012; which is still too)low. There has been big growth. The KWO"estimate is close to being right."$Increase of 239 people from 3,695 in!1990 to 3,934 in 1994. $Increase of 870 people from 3,695 in!1990 to 4,565 in 1994. !Increase of 43 people from 160 in1990 to 203 in 1994. "Increase of 213 people from 619 in1990 to 832 in 1994. !Increase of 17 people from 619 in1990 to 636 in 1994. "Increase of 287 people from 805 in1990 to 1,092 in 1994.  Increase of 3 people from 805 in1990 to 808 in 1994. MountHope&"No new population growth from 1990 to*1994. Land was annexed to include existing,water customers. However, there weren't many2 đ ;vl w4 | BMGRK N@ uw|`T0K tН0`T0LxwK tw@w8w|`T0t4J J ip0u~~ukawK V`T0tK J uT0,t00N zm00n E000nnp߿0nupt0l4Percent0]L~0~0LNz0 zT0.{e0.{{T00NWK T0#)^{<T06J & "`T0 |wV6J * 8K ?ww VwK \w`T0 0K 0K Æ00K `T0ŕ0`T0`T0 )0`T0`T0H|xj"0jk0(j,}\1   dMbP?_*+%MN\\KS\daqs22pkXXLetter 7''''"dXX??U} } I }  } $} } $ } $ } $ } $ } $ %  iT0@  @ K  @      K   wK  G G  J J     K   J  j  m  0@    $ % & '( " # #%,, ( ( (  ( ) * ( ) * (( * ( ( *  ( ) ( ( )! ( (((  ( ( (   ( )" * ( )# * (( * ( ( * ( ) *((( ( ( ( ( )$ * ( )% * (( * ( ( ( ( )& ( ( )' (()( (, (( )- (   )( *. ( )) */Dl4>>44(4**>44(44>44(***(>4 T0! " # K $ Z@ (( *0  !( !( !*! "( ")* "*" #( #)+ #*# $ ++ $+$!PP(444>@   dMbP?_*+%"??U>@   dMbP?_*+%"??U>@ ՜.+,D՜.+,, PXt | Kansas Water Office1 Sheet1Sheet2Sheet3  Worksheets 6> _PID_GUIDAN{6FC31FC0-0879-11D3-88B3-0207011BD278}Ole PRINTDGCompObjfObjInfoFI FMicrosoft Excel WorksheetBiff8Excel.Sheet.89qOh+'0@H\p  Tina Rajala State of KSMicrosoft Excel@qy@q0i- V -    ''  Times New Roman|wgw -----Times New Roman|wgw -Times New Roman|wgw 4 -------------"System  -'-  -- l !!---'---  --  $;"W "W H;H;"----'--- LW ;R; W ;;;W ;W /;/W ;W ";"W ---'---  R"; "W HW H;";---'---  ---'--- k !!---'--- HX ";---'--- Hg ;- - $XXHHX$88HH8$HH&- - -B( -- !X- -- -&-$XXHHX-&- - -B( -- !e- -- -&-$HH-&- - -B( -- !- -- -&-$  HH----'---  HX ";---'---   - "; H;H'H;';;';;';/'/;';"'";H;HW \;H;\DHD\NHN\W HW --------'--- t F 2 xh Bel Aire, KS=)B))G3%2 Population Estimates8.33..3=$L.)$----'---  ---'---  ----'---    2 (0#2 l1,000####2 l2,000####2 l3,000####2 l4,000####2 l5,000####2 l6,000####---'---  ---'---    2 z1990#### 2 1994#### 2 1997####---'---  -----'--- v  2 #Year3#----'---  --  S---'-- - Q---'-- - Q--  %(2 : Census Bureau<%. . 8.%%*.---'--- Q---'--- Q- &- - -B( -- !//}- -- -&- %}- 2 KWO)ASA---'---  Q---'---   ---'---   - - l !!--'   '  'WorkbookASummaryInformation(HJDocumentSummaryInformation8H1Table3 \p State of KS Ba=  <=>M <X@"1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1_Arial1_Arial1_Arial1_Arial1_Arial1_Arial1_Arial1_Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1Arial1_Arial1_Arial1Arial1Arial1_Arial1_Arial1.Times New Roman1.Times New Roman1.Times New Roman"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)                + ) , *    `Chart1Bel Aire(Latham2 Lecompton}< Mount HopeESheet1J fig1-fig4}xFigure 1Figure 3Figure 4rFigure 2 H  3  @@  n Bel Aire Census BureauKWOLatham Lecompton Mount Hope Table 1 (without percent change) w`T00 `T0xw0|tw  4 Y0LHzwН0kaw0.F`T08rة#Oppip0 ~~ n0}0~p% T0,t00&Fzm00n E000nnp߿0n pt0ltPercent0]#A`T0X0\{0{T0T00}T{e0T{}բ0}T{|}{{}?10|}){{@kT0e0{T0}L0l@֜z0 X Xd{0cT0 X X}0RT0llLz0l X6%0 X` 0  MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#?` 4#@` AGA` AGB` 9CPH0(  IP31dd23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O  f+ # i@zaB]"I<9k_( 5% MM<4E4D $% M 3O&@Q4$% M 3O&?Q4FAL% 3O_ 3 b#M&A43*#M&A! M4%  {+M3O &AQ  Year'4523 M  43" #+3O#% M3O&BQ443_ M NM  MM< 444% LRWM03OF&CQ F!Bel Aire, KS Population Estimates'4% MZ3OQ'4% MZ3OQ'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e> 1d  MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ;Q ;Q3_4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O&Q4$% M 3O&Q4FA _Y 3O545 3 b#M43*#M! M4%  M3O &Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% OUM03OT&Q N%Population Estimates City of Bel Aire'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4# ` 4# ` 4# ` 4# 0 0 3d 3Q:  Census BureauQ ;Q ;Q3_4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O& Q4$% M 3O& Q4FA_ 3O/Ad 3 b#M43*#M! M4% M3O& Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% eNM03O& Q J#Population Estimates City of Latham'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@ed@d@`i@d@d@ d@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4# ` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ; Q ;Q3_4E4 3Q:  KWOQ ; Q ;Q3_4E4D$% M 3O& Q4$% M 3O&Q4FAs 3O/.A 3 b#M43*#M! M4% M3O&Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% ^NKM03O~&&Q P&Population Estimates City of Lecompton'4% M3OQ23 M 4'4% M3OQ23 M 4'44e@@(@(@4@4@eX@X@@@@h@e>   MNHP LaserJet 4pcXXLetter 7''''"dX??3` 4#` 4#` 4#` 4#0 0 3d 3Q:  Census BureauQ ;Q ;Q3_ O   MM< 4E4 3Q:  KWOQ ;Q ;Q3_4E4D$% M 3O&Q4$% M 3O&Q4FAs 3O/.A 3 b#M43*#M! M4% M3O&Q  Year'4523  O43" 3O% M3OQ443_ M NM  MM< 444% ^NKM03O~&&Q R'Population Estimates City of Mount Hope'4% >M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e>    dMbP?_*+%"??U} IT0F  0a Ya } }}0a   @(@4@ ެ@@@ ެ@ձ@<@   d@`i@d@ d@d@ d@      X@@@  X@@h@   (@@(@ (@@@@*h********>@   dMbP?_*+%&?'\(\?(?)?MN\\RAIN\HP LaserJet 4 Plus (NortpsXXLetter 76''''"dX??U( (  p  6NMO?` ]]  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` K!` AG%` AG(J@3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FA 3O] 3 b#M&(43*#M&(! M4%   M3O&(Q  Year'4523  O43" ?03O?% M3O&%Q443_ M NM  MM< 444% UrM03O(&!Q \,FIGURE 2 City of Latham Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@ed@d@`i@d@d@ d@e xp  6NMO?]^  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` Z ` AG$` AG'PH00(  J@3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FAW 3O] 3 b#M&'43*#M&'! M4%    M3O&'Q  Year'4523  O43" ?03O?% M3O&$Q443_ M NM  MM< 444% UM03O(& Q `.FIGURE 1 City of Bel Aire Population Estimates'4% M0_3OQ'4% M0_3OQ'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e xp  6NMO? (]`  "`??3` 4#` 4#` [` [` W"` W)G?3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FAR 03O^?< 3 b#M&43*#M&)! M4%  { M3O&Q  Year'4523  O43" -?3O-% M3O&"Q443_ M NM  MM< 444% M M03O!*&Q d0FIGURE 4 City of Mount Hope Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e xp  6NMO?(]0a  MN\\RAIN\HP LaserJet 4 Plus (NortpsX,Letter 76''''"d,??3` 4#` 4#` &j` 2W#` 2W&I?3d23 O NM4 3Q:  Census BureauQ ; Q ;Q3_ O   MM<4E4 3Q:  KWOQ ; Q ;Q3_ O 3f  MM<4E4D $% M 3O&Q4$% M 3O&Q4FA 03O]?< 3 b#M&&43* @Y@#M&&! M4% { M3O&&Q  Year'4523  O43" -?3O-% M3O&#Q443_ M NM  MM< 444% M6 M03O*&Q b/FIGURE 3 City of Lecompton Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eX@X@@@@h@e >@   dMbP?_*+%"??oU@ (   p  6NMO?](f  MN\\RAIN\HP LaserJet 4 Plus (NortpsXXLetter 76''''"dX??3` Z*` AG+` 4#,` 4#-` AG.K3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&-Q4$% M 3O&,Q4FAY 3O] 3 b#M&+43*#M&+! M4%   M3O&+Q  Year'4523  O43" #@/3O#@% M3O&.Q443_ M NM  MM< 444% UM03O(&*Q `.FIGURE 1 City of Bel Aire Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eެ@ެ@@ձ@@<@e   >@   dMbP?_*+%"??oUP(  p  6NMO?] k  " k??3` &j4` 2W5` 4#6` 4#7` 2W8J3d23 O NM4 3Q:  Census BureauQ ; Q ;Q3_ O   MM<4E4 3Q:  KWOQ ; Q ;Q3_ O 3f  MM<4E4D $% M 3O&7Q4$% M 3O&6Q4FA 73O]<A 3 b#M&543* @Y@#M&5! M4% } M3O&5Q  Year'4523  O43" />3O/% M3O&8Q443_ M NM  MM< 444% L0 M03O*&4Q b/FIGURE 3 City of Lecompton Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@eX@X@@@@h@e >@     dMbP?_*+%"??oU`(  p  6NMO?P]m  "m??3` [9` [:` 4#;` 4#<` W=` W>H3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&<Q4$% M 3O&;Q4FAS 73O]<A 3 b#M&:43*#M&>! M4% } M3O&:Q  Year'4523  O43" />3O/% M3O&=Q443_ M NM  MM< 444% L M03O!*&9Q d0FIGURE 4 City of Mount Hope Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@e(@(@@@@(@@e >@   dMbP?_*+%"??oUp(  p  6NMO?]@<  "@<??3` K/` AG0` 4#1` 4#2` AG3K3d23 O NM4 3Q:  Census BureauQ ;Q ;Q3_ O   MM<4E4 3Q:  KWOQ ;Q ;Q3_ O 3f  MM<4E4D $% M 3O&2Q4$% M 3O&1Q4FA 3O] 3 b#M&043*#M&0! M4%   M3O&0Q  Year'4523  O43" @/3O@% M3O&3Q443_ M NM  MM< 444% UmM03O(&/Q \,FIGURE 2 City of Latham Population Estimates'4% M3OQ'4% M3OQ'44e@@(@(@4@4@ed@d@`i@d@d@ d@e >@ ՜.+,D՜.+,l PXt | 1Kansas Water Office1  Sheet1 fig1-fig4 Figure 1 Figure 3 Figure 4 Figure 2Chart1 Bel AireLatham Lecompton Mount Hope  WorksheetsCharts 6> _PID_GUIDAN{86C08531-0A24-11D3-BDFA-006067309CE2}Oh+'0x   ( 4 @ LX`hpUsing Water DemandsinADurkesDurNormal State of KS73tMicrosoft Word 8.0@(`T@ x@>4@      ge]]aQy wU3#]=kڲf, Ey]Kx:t/D1Ϛ!5ۑ2ڜ./zGDc#tWڴu/kH L"33:/ZHMfNt̾0^>!VqEԉ 遫>9xގy#4zfv&{sdQUF在!9XxI3n}o nb^1Kƫ~hlX<.(8ȝ0C,iZG o:'+<:=6ht+y7^HwS+h-jBW$}wpk{+ޯVj*w5{'\C|Q|p_O|Ρ8d6 _6WKȿJm3/GFc#m:14|Qx|FoC nrtbta Ô|p}%/0y;< -7H {^eS>o6˓Aw]VءUqTث=; g:>:6Ym=&a۝Dמ)mW*}ATմ|Fބ⓼Cc,aVN5-ߡxN-߲*r#ޯS7G'Zv٢[)_ Ý5Ќ5y*wc =eƭ֔koףּ O=VHWGHsS'\~s>t~ x ܤDd1<  C A? 2;.p?p%9ƀ`!;.p?p%9ƀv5?,xXM\Ezͼa71M`6H?W>xuG~|mU5Cpa`}̟!򋢻^Mm;a!k9\4'6^qQT>~g|w'_2n{|-{w'|w5;kߺL>WQf 3s090H}Q S]i^̑u/|$μhךU?us㓢b##IG#2)@a4Mu5XKc-U5VXjk+E8A"Jp#)wn;Ncm\h:=Ĉ|ސGȳ )seq j8#1͜˳]pD-WJ}T@—?hN-?<;ͶoS*VGjHּA͓fw*coeߺ0Ǻۻ[rrݘf)z_zO~rѨ>N*^>6 Jly܌!xj{]>ު)9OR\u:\%f؎,3^tgen}6eh۝o9/GkaDd d<  C A? 2 Ialpy,Md`!Ialpy,Md<#?J*xXMlE~om-M ńBQ*Jp(?%, YUlazG.p ͅpAN+H+TB B̛7?8vfy߼y3@ 8#]Br) sQs7~*,xM`mv#m=$f-Q+I8W({EQTZ>4%we #Tۀ j#c]XەsyKx绅do&0+($ruC/6:di$j;'k9OxAU~+(G,STX` V&l_¨]/ʢ݃y5)'fMP|qT(( `>Nϙ}wcoy5u۷"\e p]=o@%ru1{ݭ g 9<DZ-l|j !%) fI'v58 { "g#]5%[<8hFj̾k-LNpS*wwm*ڂBNQb*wEI] ]w Pz2 wr4׹%Ψ;9׻RZ㶓zYzTzQ,]kK/4iѩ7ز 1X`e  \`%X5تsy=% QC~g6^UmgěVN+ n,OđGa'kt"9oSW3c'yy"dvaJ6δ_jV^iU#|e_Պq6*nQo]Žm =^o`79"#~;87 STC ?lq{8ɾ~e#sW״[%[^FrXlCu~+)?b}4 2>p&oY}uF߀pz\^f賶}?ډ`?~_Z"_$gs ]Ufh{Zi@X.ׇ5pvHnzn }|({j~}w`8dVQWTQk;uкc4ÜO~bHdwGG}~eh//ZDdW!8<  C A? 2'.C=>!`!'.C=L9R@xX͋Egw3 DeH6B&!CX<ń`Wʢ;(zDrPrHHA]/MsЃsѹ j{]Udf_UWW^U5 l`=Y!Jh .Gb4ke##J)/`~V3:=;q-rB7#JC?#Ԣ,o^FVSh&w%QVS!3˿} L\hA $|Ҽ14.5aW*^oբO 9PD%Wb=Pؖƶ4XG`ZD}iH4~յX|qR2'CǍ /~[z]մ=N8%UEWY.b弮]e.5Ax CN| xEH%$D7i'Q]xQ1\ fb1"?꞊3[/t2 we_Xf]v*w 3k`$.zw~O3Oe8H=ANRT+=@lJkf\uB}R_m_ΟNhBӓjW>@ajw=]a[h1uLS-ػ0DXpxchly!7?yUe 㑕7꺘'lX??H)qt|4^WʳvU<]ߨ.]Yˉ\r ,~% EFJk^+>lWZfAJ ^ 9:u ڤO;9M^5k ;qhl<%%,#sX2ay^.?1evp{vھ .+Gz-/[Use͉hwd~G}| d6{rpJe ϰvwѾ*|.ll>+K'}yQg:8W%K3t@LzZkSF{;IV/!X$F8GϹ|;AOa%l?hVnVF&L}鹏 wgq}t‰̰9̜Nqo*z7브lu| [U [nDd `<  C A? 2wjԾS)8&x`!wjԾS)84 xE`xVkAϴUZu?hq4I5ֶxH)i"IC)x*XēGA*AWOb nҝHfݗ߼7v XG c@h(FY*c Qթ$QPz4WoӋʔyxTi'@TL $9@<$\Hs#@|N'Cjx:ۂn>2zG8K8Τ%h/Ќ M 4 XL6G&SZʉ09oWL3ZդjRC) :.a tKhy%N1tu%g_tKZuιTf?#xлgL3\*IP}8պ=HPQIG}ݯdi>+@{:\z]Rzcᕩ8VWvqR8ݼ럢E9[.{Xo}@hwқl;u"p_'kNqW̖lQw¨:f-:ƢpΡ5+vmϔԊBdT <5܊(VީUe]ll xc?j4&aG}gCLd/.תY 9,%Olbd*7j-:E _2_~oS_J&?|O1էd՗+ a}b-fm K vངE-[>+ۖ >ؖU 6}f[U`m"xA(I Dd3'4<  C A? 21tXMP .S+x`!1tXMP .-gKwm,%D VKB1@J)1 bH@ V@KvJژ0&41%D+>@@j0|& 1F"뙹w]vݹgΜ93s,*x 'JW\L&JXc T-A\x$Wfѽ2x[8*U!U{ lnb-Y?F׼H:! B^M Jڲ?lBS5 Q[[pɻݸSlƧL/ܮho@X-&ӦM1miCLbZiR?ϱ?C^׌Jx-58󵡦Y%IajղV|-y{=PappЖUi[c7sxuɱtg^ЇxPGsB-ΡҔHg,)'ĺM[Sv5~;}cL^˸ѴIѴ11miCLK2-4GM.kf g3:e1Sm[?@~7y1\1/b3L|ץ<*}l'hR7xWxmqNPĻqeJyiƐf WUp1c GQ0~f uuq8DŽ`Sa1cxs"Dnn&YQ0*}@gS}GyLJb=Q4s<wfS 2q' dl"-jLdȮIu5ypyqт C{WjML~<`4g]&l,snnkS)&gq1?7k~.ɏca+, 3r2cp!X͌c4EXbxHZ,S!VU ,Bl 4Esy;"i9E&νeOi@ CV8ܤ|Rrݥ\/ɐFֆS~&~mRݗUF6g)9V2! cVAr$)<DF6 RdK#݇}J"_jX;7s>8O9;s;<+j ZNrkv@3VvR{nܵmSoOdd1eQkKzof@!4fW;IRU8fPƸԠP,9ۓE5רU[LMw]zkֺpYK >ת tsK\]tC^]jĵ^TaV|Eɑ{kFu24Njw5q{>бw{獔e}.~'l:{ze<8bC!pg>g [7 QTgy>k:1L kg(k!C?Q2 ]ͭQ=;\E9{KM摕>]aه]I]Ig,~~hm 7{W]%dDAM_H]|޿7ÊuS4{Ԧyy?eh Dd e"Ej<  C A? 2a `BQV+(i'.= 4`!5 `BQV+(i'.T+3KQxPU xZMpGndbpb~LRŠB$KJ"vd˖SHT@Ѫ%MywFz*R@ 7 Ǥ8r9P !e_̮vժ]y}{_!?N##O>C'[&= j`kX2*FZO^/9:Zud6|Nb~SBgG?ymCKzued_ Oغ|(R뜡dpOXF8+/ SzTZ$C`Qsc/م(n^gά4u7e&TU=N#&j~[`o[~ ]}5Ƅ6\wrngUg8r 11iӲMy/-`:;cR?չGgUV9[#8_oq/aL{ LN2':}YqyGkm,,1sJe?9 9z Z+< wFp /5^[`v/=KX_ϼdzH<9.Kg5(u {?DF%m!f ّYJV^*Wv U7àL-ѱ@r<+'WL`V58lK"S0V~Q\ägsو["K#b 8CmފdF,׽oVі< > o6^c&< zoF;V^[;{<: LRbqR,^%#+}cۑ8c92RiY"tzi92=9U*?˚^uyF`;y[̱pa)F Bׂ&09?lb[aЌ=-9’Nn'n'z(+?#PY>uXs#xzJ =GkL.ѵ1hq-@ |Z q]瞿Bok;v,%gpl5c#k ='߄1`NpC];;uu!OalJp3[+>m7[}mə~yo$@[yfMa38C?-l߯AF֟[[Jc:Ֆӕ?0λr[*O¨yY~"A%' x7f.iPz31&I\Lg&GsRsIVx?G?G푣F2zJw4|ؕF y]r dhtJ>N>;J0r_`_QH 0E:Mmp?ܚ(_ Wۙ<0Sj"=;TpySN:ɪ^| T @ VbYyO!]t֛JJЪۮI¹X\ʴ֎y<+9VV^9cdS)]7oQ[e^ ;q(`"?GY+8CJ#8[t@R3p.7iŸҕ{Q˴éM2Tu>+'y4_靑NeE7b 6G1w7vuy!EN9@] LounS}+GU5OU^*UӽcFU5:hU^CT3`LGl9wIJRqj]mDqPPe1hSI[]7ĔR٫O!z?GEu*`KY`:ay9ݡB nLx-+x1,oц`YH6Vg8=ll~fټ:i^Ol~Pl~.E=a&mXawz@(61Q3Vz9VOqÊW\0:uA,!~1೐.׿ci{vA IOwDx,'%[B#K0 %eCR6$mwҵ)MH(1$ңQet5!dD;%tks`-kEg?5EoDd2<  C A? 27ʗ֏LL/WO?`! ʗ֏LL/WO5?,xXo[Ey~~_\*)%T&RHJ9Pb `pB ;QTC8!!!qBH R8q₞8 fv}tmlqyٝٙ@00@TriZLx@a:;'KLu\Zh5$){Zd ]'\QlGQIXGpg Lu@LtyMYlzX٤j 鄝i6n]TSi2l(6ušH3I8jܹNxxBEQM=T14a l`5 V6J?61iZҲ٘Dp}K1J^IA >$Ϟ'<~}54IO2^lσzŝ% :}o`K@tu1(x"#+_ ǰ-[<>0l) *?2De7Br 1;>~h ۮ9r4:ڑh^l)^lF3B}&-Z~ݍv;u]bco|C(㎙A[7[xKU{E)SN/ٰySE}T=iSMs%}e|~~([^,ok7^E?6q4O n-ml`[7غjl70mU]5XE7KֵCe#8q.\jTi&:-gID~p޷FѽT9 O׫ # 4tqiTA18Q.z2T8X_T9j>HW<_ykx}_g8ٽD35ȷp[K%xrSǬK;kV>s`WY̩S%OY9?kl *IoO= =3 `P~yZgG 3] gGaY|Gr$ _@ۋ͹f)z;{Oa2t^)vӧ!۟4^I,12&88NWjZY,YR~nFܝxv1n@q3%427cAXM:$_dUٳ/&GѼCNQ9kv#٧ӯsMG~Cr_)/qASummaryInformation(MDocumentSummaryInformation8CompObjj     )ľb|՜.+,D՜.+,L hp  State of Kansas ?1 Using Water Demand Title(RZ _PID_GUID _PID_HLINKSAN{99223C02-0D26-11D3-A4A5-00A024BA56C7}A {'http://www.kwo.org/,54:\\Dabudget\budget\ADMIN\DOCS\MARY\Ann--Census\walnut2.wmf  FMicrosoft Word Document MSWordDocWord.Document.89q [$@$NormalmH >@> Heading 1$$d@&5CJ:@: Heading 2$$d@&CJ>@> Heading 3$$d@&5CJBB Heading 4$$d@&>*CJ<A@<Default Paragraph Font4B@4 Body Text $dCJ0>0Title $d5CJFC@FBody Text Indent$dCJ, @",Footer  !&)@1& Page NumberDR@BDBody Text Indent 2 $CJ,R,Header  !(U@a( Hyperlink>*B*4Pr4 Body Text 2 56CJ2Q@2 Body Text 35CJ8Y8 Document Map-D OJQJ'C_{*,7/0 "#21/ %,*3 'C_{*,7:     ~/(cpٛ/PX\^<b[wS!/QSUVYZ]_9gi/RTW[–֖/X !!t'>@CZ\_vx{::::::::::$452$Ialpy,MdS2$;.p?p%9ƀ:2$*1 V2_= *2$wjԾS)802$9Ւ+DrkG2$ʗ֏LL/WO2$Yw5#7Mή 2$__˴=W12$-p[.q{ 2$'.C=y2$`BQV+(i'.= l2$Lzsj'S<2$1tXMP .$2$"m ^012$$Ԭ}qwb- 0e0e     A@  A5% 8c8c     ?A)BCD|E||@ 4(  T 1 C  11  T 3 C 3" Z " s *"A ?? )T 2 C 2 Z  s *A ?? T , C , Z # s *#A ?? T % c $A  ?  HB  C DH  C A ?VN   S  A ?H  C A  ?:T   c $ A  ?/KT * C *w Z / s */A  ??aT 0 C 0   4 S AtjJ\\Dabudget\budget\ADMIN\DOCS\MARY\Ann--Census\walnut2.wmf*B S  ?3&tw{{~~~~~~~~~]/4L $L(,0S"St o$4 <L$/4 0>*)b*1?ft3`t2z*St,fqt%o@4" $#,#%Q4,|%$C4,0-9 t*t 1"4/ 0$y4T _991563947 _991566515 _991566978 _991567096 _991567150 _991567169 _991567199 _991567643 _991571990 OLE_LINK1 _989232033 _991575598 _991575786 _991575810 _991641508 _991642373 _991642590 _991642962 _989232048 _991576086 _991576184 _991641665 _991641693 _991641726 _991642321 _991642607 _991642764 _991642832 _991642901 _991642928 _991642988 _991643194 _989232060 _991572898 _991572973 _991573015 _991573033 _991573660 _991573708 _991575916 _991642229 _991642282 _991642350 _991642624 _991642878 _991642941 _991642976 _991643004 _991643030 _991643055 _991643154 _991643203 _991643223 _991643238 _991643270 _991644507 _991644565 _991644636 _991646053 _991646342 _991571031 _991571252 _991571331 _991571344 _991571382 _991571390 _991571457 _991571500 _991571861 _991571902 _991571969 _991572019 _991572032 _991572072 _991572120 _991572200 _991572238 _991573567 _991573694 _991573719 _991640948 _991642388 _991642548 _991643019 PPPPPPPPllllllllllllllחחח0@@@@@@@@@ @ @ @ @@@@@@@@@@@@@@@@@@@ @!@"@#@$@%@&@'@(@)@*@+@,@-@.@/@0@1@2@3@4@5@6@7@8@9@:@;@<@=@>@?@@@A@B@C@D@E@F@G@H@I@J@K@L@M@N@O@P@Q@R@S@ PPPPPPPPllllllllllllllחחח0ٖ0,OVP\elefRgggj0ldlmVopprrr/t5t| }ٖ0 State of KS\\\DABUDGET\BUDGET2\USER\ADURKES\CENSUS\Conference--June 8, 1999\Text--Using Water Demand.doc State of KS\\\DABUDGET\BUDGET2\USER\ADURKES\CENSUS\Conference--June 8, 1999\Text--Using Water Demand.doc State of KS\\\DABUDGET\BUDGET2\USER\ADURKES\CENSUS\Conference--June 8, 1999\Text--Using Water Demand.doc State of KS\\\DABUDGET\BUDGET2\USER\ADURKES\CENSUS\Conference--June 8, 1999\Text--Using Water Demand.doc State of KS\\\DABUDGET\BUDGET2\USER\ADURKES\CENSUS\Conference--June 8, 1999\Text--Using Water Demand.doc State of KS\\\DABUDGET\BUDGET2\USER\ADURKES\CENSUS\Conference--June 8, 1999\Text--Using Water Demand.doc State of KS\\\DABUDGET\BUDGET2\USER\ADURKES\CENSUS\Conference--June 8, 1999\Text--Using Water Demand.doc State of KS\\\DABUDGET\BUDGET2\USER\ADURKES\CENSUS\Conference--June 8, 1999\Text--Using Water Demand.doc State of KS\\\DABUDGET\BUDGET2\USER\ADURKES\CENSUS\Conference--June 8, 1999\Text--Using Water Demand.doc State of KS9C:\TEMP\AutoRecovery save of Text--Using Water Demand.asd`  F [y0 0#1 #^3; [< @  B } O #2R bKS &8[ $] ~#_ hh.hh.hho(.hho(.hho(.hh.hho(.hho(.hho(. hhOJQJo(hh.hho(.hho(.hho(.$]@#^3;0#1[y0~#_} O B&8[#2R[<bKS` F@##/@@GTimes New Roman5Symbol3& Arial5& zTahoma"h( 6F76I\b|? Y20dUsing Water DemandADurkes State of KS