For other versions of this document, see http://wikileaks.org/wiki/CRS-RL33841 ------------------------------------------------------------------------------ ¢ ¢ ¢ £ ¢ ¢ ¢ ¢ ¢ £¢ ¢ ¢ ¢ ¢ Prepared for Members and Committees of Congress ¢ ¢ ¢ This report presents detailed tables showing the distributional effects of 12 Social Security solvency options on Social Security beneficiaries in 2035 compared with current law. The 12 options presented fall into 6 categories of reform proposals. For some reform options, we present two or more variations on how they could be approached. They include the most commonly discussed or introduced proposals to improve cash flow and achieve Social Security solvency: · reducing the annual cost of living adjustment (COLA) · increasing the number of computation years in the benefit formula · increasing the full retirement age (FRA) · longevity indexing initial Social Security benefits · progressive price indexing initial Social Security benefits · increasing earnings subject to Social Security payroll taxes by raising or eliminating the taxable earnings base. These tables provide the modeling results used to produce the full analysis of these options contained in a companion report, CRS Report RL33840, Options to Address Social Security Solvency and Their Impact on Beneficiaries: Results from the Dynasim Microsimulation Model. That report presents the distributional effects of these reform options in terms of Social Security beneficiaries' median payroll tax increase or benefit reduction and shows the varied effect of these reforms on beneficiaries along certain socio-economic lines (i.e., age, type of benefit received, and income quintile). Those readers interested in a complete explanation of these results are encouraged to read that report. The tables contained in this report provide some additional detail not included in the previously mentioned report. The first table for each option summarizes the effect of the policy change on beneficiaries in 2035 across socio-economic groups (i.e., by gender, ethnicity, educational attainment, age, marital status, benefit type, and income quintile). These tables show the number in the population, the mean percent change in benefits or taxes between current law and the policy option, and the median percent change in benefits or taxes between current law and the policy option. Subsequent tables show the varied effects of these reforms on beneficiaries in 2035 overall and then within each socio-economic group (i.e., gender, ethnicity, educational attainment, age, marital status, benefit type, and income quintile). CRS analysts used the Dynasim microsimulation model to project the effects of these reforms on Social Security beneficiaries in 2035, assuming the reforms first take effect in 2013. This report will not be updated. ¢ ¢ Introduction ..................................................................................................................................... 1 Interpreting the Results ................................................................................................................... 2 Why These Options?........................................................................................................... 2 When Would the Options Begin?........................................................................................ 3 How Far Into the Future Does This Analysis Look?........................................................... 3 What Do the Tables Show?................................................................................................. 4 How to Read the Tables ...................................................................................................... 6 Why Do Some of the Results Seem Counterintuitive? ....................................................... 7 Who Is Included in the Analysis? ....................................................................................... 7 How Does Dynasim Estimate Future Benefits?.................................................................. 8 Where Can Readers Find Out More?.................................................................................. 8 Option 1: Reducing the Annual Cost of Living Adjustment (COLA) by Half a Percentage Point ............................................................................................................................................. 9 Option 2: Reducing the Annual COLA by One Percentage Point ................................................. 14 Option 3: Increasing the Number of Computation Years in the Benefit Formula From 35 to 38 for All Beneficiaries .......................................................................................................... 19 Option 4: Increasing the Number of Computation Years in the Benefit Formula From 35 to 38 For All But Disability Beneficiaries.................................................................................. 24 Option 5: Increasing the Number of Computation Years in the Benefit Formula From 35 to 40 for All Beneficiaries .......................................................................................................... 30 Option 6: Increasing the Number of Computation Years in the Benefit Formula From 35 to 40 for All But Disability Beneficiaries................................................................................... 35 Option 7: Increasing the Full Retirement Age (FRA) by Accelerating the Increase From Age 66 to Age 67 Scheduled Under Current Law and Further Increasing the FRA From Age 67 to Age 70........................................................................................................................ 41 Option 8: Longevity Indexing Initial Social Security Benefits by Reducing the Primary Insurance Amount (PIA) Formula Factors ................................................................................. 46 Option 9: Longevity Indexing Initial Social Security Benefits by Reducing the PIA Value and Holding Disability Beneficiaries Harmless Until They Reach the FRA ............................. 52 Option 10: Progressive Price Indexing Initial Social Security Benefits........................................ 57 Option 11: Increasing Earnings Subject to Social Security Payroll Taxes by Raising the Dollar Amount of the Taxable Earnings Base to 100% of Aggregate Covered Earnings in the U.S. (Eliminating the Taxable Earnings Base) ................................................................. 62 Option 12: Increasing Earnings Subject to Social Security Payroll Taxes by Raising the Dollar Amount of the Taxable Earnings Base to 90% of Aggregate Covered Earnings in the U.S........................................................................................................................................ 77 Table 1. Reduce the COLA by Half a Percentage Point: Summary of Mean and Median Percentage Change in Benefits in 2035........................................................................................ 9 ¢ ¢ Table 2. Reduce the COLA by Half a Percentage Point: Distribution by Impact in 2035 ............ 10 Table 3. Reduce the COLA by Half a Percentage Point: Distribution by Gender in 2035............ 10 Table 4. Reduce the COLA by Half a Percentage Point: Distribution by Ethnicity in 2035..........11 Table 5. Reduce the COLA by Half a Percentage Point: Distribution by Education Level in 2035.........................................................................................................................................11 Table 6. Reduce the COLA by Half a Percentage Point: Distribution by Age in 2035 ................. 12 Table 7. Reduce the COLA by Half a Percentage Point: Distribution by Marital Status in 2035............................................................................................................................................ 12 Table 8. Reduce the COLA by Half a Percentage Point: Distribution by Benefit Type in 2035............................................................................................................................................ 13 Table 9. Reduce the COLA by Half a Percentage Point: Distribution by Income Quintile in 2035........................................................................................................................................ 13 Table 10. Reduce the COLA by One Percentage Point: Summary of Mean and Median Percentage Change in Benefits in 2035...................................................................................... 14 Table 11. Reduce the COLA by One Percentage Point: Distribution by Impact in 2035.............. 15 Table 12. Reduce the COLA by One Percentage Point: Distribution by Gender in 2035 ............. 15 Table 13. Reduce the COLA by One Percentage Point: Distribution by Ethnicity in 2035 .......... 16 Table 14. Reduce the COLA by One Percentage Point: Distribution by Education Level in 2035............................................................................................................................................ 16 Table 15. Reduce the COLA by One Percentage Point: Distribution by Age in 2035 .................. 17 Table 16. Reduce the COLA by One Percentage Point: Distribution by Marital Status in 2035............................................................................................................................................ 17 Table 17. Reduce the COLA by One Percentage Point: Distribution by Benefit Type in 2035............................................................................................................................................ 18 Table 18. Reduce the COLA by One Percentage Point: Distribution by Income Quintile in 2035............................................................................................................................................ 18 Table 19. Increase the Number of Computation Years to 38 for All Beneficiaries: Summary of Mean and Median Percentage Change in Benefits in 2035................................... 19 Table 20. Increase the Number of Computation Years to 38 for All Beneficiaries: Distribution by Impact in 2035 .................................................................................................. 20 Table 21. Increase the Number of Computation Years to 38 for All Beneficiaries: Distribution by Gender in 2035.................................................................................................. 21 Table 22. Increase the Number of Computation Years to 38 for All Beneficiaries: Distribution by Ethnicity in 2035............................................................................................... 21 Table 23. Increase the Number of Computation Years to 38 for All Beneficiaries: Distribution by Education Level in 2035 ................................................................................... 21 Table 24. Increase the Number of Computation Years to 38 for All Beneficiaries: Distribution by Age in 2035 ....................................................................................................... 22 Table 25. Increase the Number of Computation Years to 38 for All Beneficiaries: Distribution by Marital Status in 2035 ....................................................................................... 22 ¢ ¢ Table 26. Increase the Number of Computation Years to 38 for All Beneficiaries: Distribution by Benefit Type in 2035......................................................................................... 23 Table 27. Increase the Number of Computation Years to 38 for All Beneficiaries: Distribution by Income Quintile in 2035 ................................................................................... 23 Table 28. Increase the Number of Computation Years to 38 for All But Disability Beneficiaries: Summary of Mean and Median Percentage Change in Benefits in 2035............ 24 Table 29. Increase the Number of Computation Years to 38 for All But Disability Beneficiaries: Distribution by Impact in 2035 ........................................................................... 25 Table 30. Increase the Number of Computation Years to 38 for All But Disability Beneficiaries: Distribution by Gender in 2035........................................................................... 26 Table 31. Increase the Number of Computation Years to 38 for All But Disability Beneficiaries: Distribution by Ethnicity in 2035........................................................................ 26 Table 32. Increase the Number of Computation Years to 38 for All But Disability Beneficiaries: Distribution by Education Level in 2035 ............................................................ 27 Table 33. Increase the Number of Computation Years to 38 for All But Disability Beneficiaries: Distribution by Age in 2035................................................................................ 27 Table 34. Increase the Number of Computation Years to 38 for All But Disability Beneficiaries: Distribution by Marital Status in 2035................................................................ 28 Table 35. Increase the Number of Computation Years to 38 for All But Disability Beneficiaries: Distribution by Benefit Type in 2035.................................................................. 28 Table 36. Increase the Number of Computation Years to 38 for All But Disability Beneficiaries: Distribution by Income Quintile in 2035 ............................................................ 29 Table 37. Increase the Number of Computation Years to 40 for All Beneficiaries: Summary of Mean and Median Percentage Change in Benefits in 2035................................... 30 Table 38. Increase the Number of Computation Years to 40 for All Beneficiaries: Distribution by Impact in 2035 .................................................................................................. 31 Table 39. Increase the Number of Computation Years to 40 for All Beneficiaries: Distribution by Gender in 2035.................................................................................................. 32 Table 40. Increase the Number of Computation Years to 40 for All Beneficiaries: Distribution by Ethnicity in 2035............................................................................................... 32 Table 41. Increase the Number of Computation Years to 40 for All Beneficiaries: Distribution by Education Level in 2035 ................................................................................... 32 Table 42. Increase the Number of Computation Years to 40 for All Beneficiaries: Distribution by Age in 2035 ....................................................................................................... 33 Table 43. Increase the Number of Computation Years to 40 for All Beneficiaries: Distribution by Marital Status in 2035 ....................................................................................... 33 Table 44. Increase the Number of Computation Years to 40 for All Beneficiaries: Distribution by Benefit Type in 2035......................................................................................... 34 Table 45. Increase the Number of Computation Years to 40 for All Beneficiaries: Distribution by Income Quintile in 2035 ................................................................................... 34 Table 46. Increase the Number of Computation Years to 40 for All But Disability Beneficiaries: Summary of Mean and Median Percentage Change in Benefits in 2035............ 35 ¢ ¢ Table 47. Increase the Number of Computation Years to 40 for All But Disability Beneficiaries: Distribution by Impact in 2035 ........................................................................... 36 Table 48. Increase the Number of Computation Years to 40 for All But Disability Beneficiaries: Distribution by Gender in 2035........................................................................... 37 Table 49. Increase the Number of Computation Years to 40 for All But Disability Beneficiaries: Distribution by Ethnicity in 2035........................................................................ 37 Table 50. Increase the Number of Computation Years to 40 for All But Disability Beneficiaries: Distribution by Education Level in 2035 ............................................................ 38 Table 51. Increase the Number of Computation Years to 40 for All But Disability Beneficiaries: Distribution by Age in 2035................................................................................ 38 Table 52. Increase the Number of Computation Years to 40 for All But Disability Beneficiaries: Distribution by Marital Status in 2035................................................................ 39 Table 53. Increase the Number of Computation Years to 40 for All But Disability Beneficiaries: Distribution by Benefit Type in 2035.................................................................. 39 Table 54. Increase the Number of Computation Years to 40 for All But Disability Beneficiaries: Distribution by Income Quintile in 2035 ............................................................ 40 Table 55. Increase the Full Retirement Age: Summary of Mean Percentage Change in Benefits in 2035 ......................................................................................................................... 41 Table 56. Increase the Full Retirement Age: Distribution by Impact in 2035............................... 42 Table 57. Increase the Full Retirement Age: Distribution by Gender in 2035 .............................. 42 Table 58. Increase the Full Retirement Age: Distribution by Ethnicity in 2035 ........................... 43 Table 59. Increase the Full Retirement Age: Distribution by Education Level in 2035................ 43 Table 60. Increase the Full Retirement Age: Distribution by Age in 2035.................................... 44 Table 61. Increase the Full Retirement Age: Distribution by Marital Status in 2035.................... 44 Table 62. Increase the Full Retirement Age: Distribution by Benefit Type in 2035 ..................... 44 Table 63. Increase the Full Retirement Age: Distribution by Income Quintile in 2035 ................ 45 Table 64. Index the PIA Formula Factors for Longevity: Summary of Mean and Median Percentage Change in Benefits in 2035...................................................................................... 46 Table 65. Index the PIA Formula Factors for Longevity: Distribution by Impact in 2035 ........... 47 Table 66. Index the PIA Formula Factors for Longevity: Distribution by Gender in 2035........... 48 Table 67. Index the PIA Formula Factors for Longevity: Distribution by Ethnicity in 2035........ 48 Table 68. Index the PIA Formula Factors for Longevity: Distribution by Education Level in 2035........................................................................................................................................ 49 Table 69. Index the PIA Formula Factors for Longevity: Distribution by Age in 2035................ 49 Table 70. Index the PIA Formula Factors for Longevity: Distribution by Marital Status in 2035............................................................................................................................................ 50 Table 71. Index the PIA Formula Factors for Longevity: Distribution by Benefit Type in 2035............................................................................................................................................ 50 Table 72. Index the PIA Formula Factors for Longevity: Distribution by Income Quintile in 2035........................................................................................................................................ 51 ¢ ¢ Table 73. Index the PIA Value for Longevity: Summary of Mean and Median Percentage Change in Benefits in 2035 ........................................................................................................ 52 Table 74. Index the PIA Value for Longevity: Distribution by Impact in 2035............................. 53 Table 75. Index the PIA Value for Longevity: Distribution by Gender in 2035............................ 53 Table 76. Index the PIA Value for Longevity: Distribution by Ethnicity in 2035......................... 54 Table 77. Index the PIA Value for Longevity: Distribution by Education Level in 2035 ............. 54 Table 78. Index the PIA Value for Longevity: Distribution by Age in 2035 ................................. 55 Table 79. Index the PIA Value for Longevity: Distribution by Marital Status in 2035 ................. 55 Table 80. Index the PIA Value for Longevity: Distribution by Benefit Type in 2035 ................... 56 Table 81. Index the PIA Value for Longevity: Distribution by Income Quintile in 2035.............. 56 Table 82. Index Initial Benefits to a Combination of Wage Growth and Price Growth: Summary of Mean and Median Percentage Change in Benefits in 2035................................... 57 Table 83. Index Initial Benefits to a Combination of Wage Growth and Price Growth: Distribution by Impact in 2035 .................................................................................................. 58 Table 84. Index Initial Benefits to a Combination of Wage Growth and Price Growth: Distribution by Gender in 2035.................................................................................................. 58 Table 85. Index Initial Benefits to a Combination of Wage Growth and Price Growth: Distribution by Ethnicity in 2035............................................................................................... 59 Table 86. Index Initial Benefits to a Combination of Wage Growth and Price Growth: Distribution by Education Level in 2035 ................................................................................... 59 Table 87. Index Initial Benefits to a Combination of Wage Growth and Price Growth: Distribution by Age in 2035 ....................................................................................................... 60 Table 88. Index Initial Benefits to a Combination of Wage Growth and Price Growth: Distribution by Marital Status in 2035 ....................................................................................... 60 Table 89. Index Initial Benefits to a Combination of Wage Growth and Price Growth: Distribution by Benefit Type in 2035......................................................................................... 61 Table 90. Index Initial Benefits to a Combination of Wage Growth and Price Growth: Distribution by Income Quintile in 2035 ................................................................................... 61 Table 91. Increase the Taxable Earnings Base to Tax All Covered Earnings: Summary of Mean and Median Percentage Change in Benefits for Individuals Who Pay No Additional Taxes Over Their Lifetime in 2035 ........................................................................... 62 Table 92. Increase the Taxable Earnings Base to Tax All Covered Earnings: Summary of Mean and Median Percentage Change in Benefits for Individuals Who Pay Additional Taxes Over Their Lifetime in 2035 ............................................................................................. 63 Table 93. Increase the Taxable Earnings Base to Tax All Covered Earnings: Summary of Mean and Median Percentage Change in Benefits for the Total Population in 2035 ................ 65 Table 94. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Benefits for the Total Population by Impact in 2035.......................... 66 Table 95. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Benefits for the Total Population by Gender in 2035......................... 66 Table 96. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Benefits for the Total Population by Ethnicity in 2035...................... 67 ¢ ¢ Table 97. Increase the Taxable Earnings Base to Tax All Covered Earnings of the Total Population: Distribution of Percentage Change in Benefits for the Total Population by Education Level in 2035 ............................................................................................................ 67 Table 98. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Benefits for the Total Population by Age in 2035 .............................. 68 Table 99. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Benefits for the Total Population by Marital Status in 2035 .............. 68 Table 100. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Benefits for the Total Population by Benefit Type in 2035 ................ 69 Table 101. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Benefits for the Total Population by Income Quintile in 2035........... 69 Table 102. Increase the Taxable Earnings Base to Tax All Covered Earnings: Summary of Mean and Median Percentage Change in Taxes Paid for Individuals Who Pay No Additional Taxes Over their Lifetime in 2035 ............................................................................ 70 Table 103. Increase the Taxable Earnings Base to Tax All Covered Earnings: Summary of Mean and Median Percentage Change in Taxes Paid for Individuals Who Pay Additional Taxes Over their Lifetime in 2035 ............................................................................ 71 Table 104. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Taxes Paid for the Total Population in 2035....................................... 72 Table 105. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Taxes Paid for the Total Population by Gender in 2035..................... 73 Table 106. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Taxes Paid for the Total Population by Ethnicity in 2035 .................. 73 Table 107. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Taxes Paid for the Total Population by Education Level in 2035............................................................................................................................................ 74 Table 108. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Taxes Paid for the Total Population by Age in 2035 .......................... 74 Table 109. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Taxes Paid for the Total Population Marital Status in 2035 ............... 75 Table 110. Increase the Taxable Earnings Base to Tax All Covered Earning: Distribution of Percentage Change in Taxes Paid for the Total Population by Benefit Type in 2035 ............ 75 Table 111. Increase the Taxable Earnings Base to Tax All Covered Earnings: Distribution of Percentage Change in Taxes Paid for the Total Population by Income Quintile in 2035............................................................................................................................................ 76 Table 112. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Summary of Mean and Median Percentage Change in Benefits for Individuals Who Pay No Additional Taxes Over their Lifetime in 2035....................................................................... 77 Table 113. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Summary of Mean and Median Percentage Change in Benefits for Individuals Who Pay Additional Taxes Over Their Lifetime in 2035 ........................................................................... 78 Table 114. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Summary of Mean and Median Percentage Change in Benefits for Total Population in 2035............................................................................................................................................ 80 ¢ ¢ Table 115. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Benefits for the Total Population by Impact in 2035 ......... 81 Table 116. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Benefits for the Total Population by Gender in 2035......... 81 Table 117. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Benefits for the Total Population by Ethnicity in 2035............................................................................................................................................ 82 Table 118. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Benefits for the Total Population by Education Level in 2035.............................................................................................................................. 82 Table 119. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Benefits for the Total Population by Age in 2035 .............. 83 Table 120. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Benefits for the Total Population by Marital Status in 2035........................................................................................................................................ 83 Table 121. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Benefits for the Total Population by Benefit Type in 2035............................................................................................................................................ 84 Table 122. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Benefits for the Total Population by Income Quintile in 2035........................................................................................................................................ 84 Table 123. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Summary of Mean and Median Percentage Change in Taxes Paid for Individuals Who Pay No Additional Taxes Over Their Lifetime in 2035............................................................... 85 Table 124. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Summary of Mean and Median Percentage Change in Taxes Paid for Individuals Who Pay Additional Taxes Over Their Lifetime in 2035 .................................................................... 86 Table 125. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Taxes Paid for the Total Population by Impact in 2035............................................................................................................................................ 87 Table 126. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Taxes Paid for the Total Population by Gender in 2035............................................................................................................................................ 88 Table 127. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Taxes Paid for the Total Population by Ethnicity in 2035............................................................................................................................................ 88 Table 128. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Taxes Paid for the Total Population by Education Level in 2035.............................................................................................................................. 88 Table 129. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Taxes Paid for the Total Population by Age in 2035 .......... 89 Table 130. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Taxes Paid for the Total Population by Marital Status in 2035 ............................................................................................................................. 90 ¢ ¢ Table 131. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Taxes Paid for the Total Population by Benefit Type in 2035........................................................................................................................................ 90 Table 132. Increase the Taxable Earnings Base to Tax 90% of Covered Earnings: Distribution of Percentage Change Taxes Paid for the Total Population by Income Quintile in 2035.......................................................................................................................... 90 Table C-1. Retirement Earnings Test Application Rules ............................................................... 96 ¡ Appendix A. Computation of the Primary Insurance Amount (PIA) Under Current Law ............ 92 Appendix B. Interaction of Spouse and Aged Survivor Benefit Rules with Policy Options......... 94 Appendix C. Interaction of the Retirement Earnings Test with Policy Options............................ 96 Appendix D. Technical Description of the Progressive Price Indexing Option ............................ 99 Appendix E. Background on the Urban Institute's Dynasim Microsimulation Model ............... 101 Appendix F. Glossary .................................................................................................................. 105 Author Contact Information .........................................................................................................110 ¢ ¢ This report presents detailed tables showing the distributional effects of 12 Social Security solvency options on Social Security beneficiaries in 2035 compared with current law.1 The options presented are 1. Reducing the annual cost of living adjustment (COLA) by half a percentage point 2. Reducing the annual COLA by one percentage point 3. Increasing the number of computation years in the benefit formula from 35 to 38 for all beneficiaries 4. Increasing the number of computation years in the benefit formula from 35 to 38 for all but disability beneficiaries 5. Increasing the number of computation years in the benefit formula from 35 to 40 for all beneficiaries 6. Increasing the number of computation years in the benefit formula from 35 to 40 for all but disability beneficiaries 7. Increasing the full retirement age (FRA) by accelerating the increase from age 66 to age 67 scheduled under current law and further increasing the FRA from age 67 to age 70 8. Longevity indexing initial Social Security benefits by reducing the Primary Insurance Amount (PIA) formula factors 9. Longevity indexing initial Social Security benefits by reducing the PIA value and holding disability beneficiaries harmless until they reach the FRA 10. Progressive price indexing initial Social Security benefits 11. Increasing earnings subject to Social Security payroll taxes by raising the dollar amount of the taxable earnings base to 100% of aggregate covered earnings in the U.S. (eliminating the taxable earnings base) 12. Increasing earnings subject to Social Security payroll taxes by raising the dollar amount of the taxable earnings base to 90% of aggregate covered earnings in the U.S. These tables provide the modeling results used to produce the full analysis of these options contained in a companion report, CRS Report RL33840, Options to Address Social Security Solvency and Their Impact on Beneficiaries: Results from the Dynasim Microsimulation Model. 1 Those unfamiliar with the Social Security reform debate or the Social Security program may wish to first read the following reports: CRS Report RL33544, Social Security Reform: Current Issues and Legislation, by Dawn Nuschler; CRS Report 94-27, Social Security: Brief Facts and Statistics, by Gary Sidor; and, CRS Report RL32279, Primer on Disability Benefits: Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI), by Scott Szymendera. ¢ ¢ That report presents the distributional effects of these reform options in terms of Social Security beneficiaries' median payroll tax increase or benefit reduction and shows the varied effect of these reforms on beneficiaries along certain socio-economic lines (i.e., age, type of benefit received, and income quintile). Those readers interested in a complete explanation of these results are encouraged to read that report. The tables contained in this report provide some additional detail not included in the previously mentioned report. The first table for each option summarizes the effect of the policy change on beneficiaries in 2035 across socio-economic groups (i.e., by gender, ethnicity, educational attainment, age, marital status, benefit type, and income quintile). These tables show the number of people in the population, the mean percent change in benefits or taxes between current law and the policy option, and the median percent change in benefits or taxes between current law and the policy option. Subsequent tables show the varied effects of these reforms on beneficiaries in 2035 overall and then within each socio-economic group (i.e., gender, ethnicity, educational attainment, age, marital status, benefit type, and income quintile). The options presented below include the most commonly discussed or introduced proposals to improve cash flow and achieve Social Security solvency. CRS takes no position for or against any of the options presented in this report.2 The presentation of options in the report moves from least complex to most complex. The ordering of the 12 options, and the assumptions used in their analysis, reflect no policy recommendations or preferences on the part of CRS. For some reform options, we present two or more variations on how they could be approached. Each option would affect beneficiaries differently. This report assumes that all of the options take effect in 2013 and shows the distributional impact of each option in 2035 using results from the Dynasim microsimulation model.3 The Dynasim model is not an actuarial model and so cannot produce solvency estimates for these options. ¢ The primary rationale for all of the options in this report is to improve the solvency of the Social Security system. All of the options would enhance long-range solvency by either cutting benefits or increasing payroll taxes. There are also secondary rationales behind most of the options--for example, some would reward longer working careers or account for increases in longevity. The options in this report include the most commonly discussed or introduced proposals to improve cash flow and achieve Social Security solvency. Each option in this report is analyzed in isolation, but it is important to note that the options are typically proposed in combination with one another and/or with other Social Security reform features (such as individual accounts or 2 Some solvency options, such as increasing the Social Security coverage of state and local government workers, altering the taxation of Social Security benefits, or investing a portion of the Social Security surplus in equities, cannot currently be modeled in this version of Dynasim. Therefore, these options are not included among the options analyzed in this report. 3 For additional information on the Dynasim microsimulation model, please see Appendix E. ¢ ¢ benefit enhancements for low earners).4 The options analyzed in this report can be viewed as a set of building blocks for comprehensive Social Security reform. All of the options in this report are assumed to be implemented starting in 2013. The year 2013 was chosen since many policymakers have indicated a desire to leave the benefits of individuals who are currently age 55 or older unchanged, since they would have little time to alter their savings, work, or retirement plans. With the exception of the option to increase the full retirement age, none of the options presented in this report are phased in gradually over time. Any of the options could be implemented before or after 2013, or could be phased in gradually. This analysis aims to compare all of the reform options using consistent assumptions and under identical circumstances. However, for some options, all beneficiaries would be affected starting in 2013, including those who became eligible for benefits before 2013 (e.g., reducing the COLA). For other options, only new beneficiaries--those who become eligible for benefits in 2013 or later--would be affected (e.g., progressive price indexing initial Social Security benefits). These differences are dictated by the nature of the reform options themselves and the particular Social Security program rules affected by these reform options. ¢ This report focuses on the effects of policy changes on beneficiaries in 2035. The tables presented are essentially a snapshot of the projected beneficiary population in this single year. Focusing on a different year would lead to different results. The year 2035 was selected for this analysis because it balances two competing goals. The first goal is to allow a sufficient amount of time to pass for the differing effects of the policy options to become clear once the new policies are implemented. Since all of the options are assumed to begin in 2013, by 2035 most beneficiaries would be affected. An earlier date may not capture the disparate effects of the options, particularly for those options with relatively small annual changes. The second goal is to provide the most reliable information possible. Since it is impossible to accurately predict the future, all projection models contain some level of uncertainty. The further into the future one projects, the greater the estimates may ultimately deviate from reality. The most accurate data are the actual observations that exist when the projection period began. The youngest individuals eligible to receive retirement benefits in 2035 would have been born in the early 1970s, and so actual data would be included in the model's projection of their retirement benefits. Extending the analysis to periods much later than 2035 would rely more heavily on the model's assumptions about future trends. Under some of the options, not all beneficiaries in 2035 would be affected. This is because some of the options apply only to beneficiaries who become eligible for benefits in 2013 or later (e.g., progressive price indexing). For these options, the analysis in 2035 will show a sizable group of beneficiaries who are not subject to the change since they became eligible for benefits before 2013. Because the proportion of beneficiaries who become eligible for benefits before 2013 4 Combining any of the options with one another or with other features could significantly alter their distributional impacts. Thus, it is not possible to sum the results of any combination of options shown in this report since the options could interact in unexpected ways. ¢ ¢ varies significantly by socio-economic characteristics, the date of implementation drives many of the results in 2035, particularly the results by age. Results shown for 2035 also do not reflect the full impact of the options over time. The effect of some options increases over time (e.g., longevity indexing). Under these options, each successive cohort of beneficiaries would be affected more than the last, so that a beneficiary who becomes eligible 50 years after implementation would be affected much more than a beneficiary who becomes eligible in the first year, all other things being equal. For other options, the magnitude of the benefit change does not increase over time (e.g., increasing the number of computation years). Under these options, each successive cohort of beneficiaries would be subject to the same rules, so that a beneficiary who becomes eligible 50 years after implementation would experience the same magnitude of change as a beneficiary who becomes eligible in the first year, all other things being equal. Since the tables in this report focus on a single year, these distinctions are not shown. The first table for each option breaks down the effect of the policy change on beneficiaries in 2035 by gender, ethnicity, educational attainment, age, marital status, benefit type, and income quintile. (For more information on income quintiles, please see the subsection below called "Breakdowns by Income Quintile."). These tables show the number of people in the population,5 the mean percent change, and the median percent change in benefits between current law and the policy option.6 Since Dynasim projects a representative sub-sample of the population, the number of observations in the model must be weighted (in this case multiplied by a constant) so that the numbers total the entire population. Population numbers in the tables are presented in thousands. The mean, or average, is determined by adding all the values in a data set and dividing the sum by the number of values in the data set. The median is the midpoint in a group of values, such that half the values are above the median and half are below. Unlike a mean, a median will not be skewed by a small number of extremely large or extremely small values. For example, consider five beneficiaries affected by a policy option. One loses her entire benefit under the option (meaning she has a change of -100%). The other four beneficiaries have benefit changes of -3%, -2%, -2%, and -1%, compared with current law. The median percentage change for this group would be -2% because -2% is the third value of the five values arranged from least to greatest. The mean percentage change would be -22% because it is the sum of all five values divided by five. Since policy changes sometimes result in very large benefit changes (such as beneficiaries gaining or losing a benefit) for a few beneficiaries, the median is a good measure of how a policy would affect a typical beneficiary. For both the mean and median percent change in benefits, numbers have been rounded to the nearest full percentage point. The results for each option include tables that show the overall distribution of the estimated benefit change for all beneficiaries as well as for beneficiaries broken down by gender, ethnicity, educational attainment, age, marital status, benefit type, and income quintile. For example, the 5 In this version of Dynasim, each observation had a weight of 2,517.3811. Thus, 10 raw observations would be shown as about 25,000 individuals in the tables presented. All projected population numbers are rounded to the nearest thousand. 6 The report compares benefits under each option to scheduled benefits under current law. Some other analyses compare benefits under policy options to payable benefits, or the level of benefits that could be funded with current funding levels. However, the 2005 Trustees Report (on which this analysis is based) projects that the trust funds will remain solvent until 2041. Since the analysis in this report focuses on 2035, scheduled benefits and payable benefits would be the same amount. ¢ ¢ tables show what proportion of beneficiaries in each of the five income quintiles have benefit reductions of up to -10%, reductions from -10% to -19%, etc. Every attempt has been made to be consistent in the presentation of the results of the analysis. The same benefit reduction categories have been used in all tables across the various reform options so as not to skew the results. Furthermore, the tables for all of the options include the entire Dynasim population, with one exception. For the options to raise or eliminate the taxable earnings base, the report contains additional separate tables describing the mean and median impact for only those beneficiaries who would be affected by the option and for only those beneficiaries who would pay no additional taxes. These additional breakdowns are presented since a relatively small share of beneficiaries would be affected by the options to raise or eliminate the taxable earnings base. Tables that include the entire Dynasim population for these options show that the median beneficiary in each subgroup is not affected. ¢ ¢ All of the options include tables in the report that break down the beneficiary population by the type of Social Security benefits they receive. Four types of Social Security beneficiaries are presented in this report: retired worker beneficiaries who receive a Social Security benefit based on their own earnings; disabled worker beneficiaries who receive a Social Security disability benefit based on their own earnings; spouse beneficiaries who receive a Social Security retirement benefit based on their working spouse's earnings; and, survivor beneficiaries who receive Social Security survivor benefits based on their deceased spouse's earnings. Some individuals may qualify for more than one type of benefit. In the tables that follow, the retired worker only category and the disability only category are made up of beneficiaries who receive solely a retired or disabled worker benefit, not a spouse or survivor benefit. The survivor category and the spouse category include both beneficiaries who receive solely spouse or survivor benefits as well as those who receive both a spouse or survivor benefit and a retired or disabled worker benefit (i.e., dually entitled beneficiaries). The disability benefit only category includes both beneficiaries receiving disability benefits in 2035 and those who originally received disability benefits but automatically converted to retirement benefits at the full retirement age (as required by law). ¢ All of the policy options include tables in the report that break down the beneficiary population by age group. These categories reflect beneficiaries' ages as of 2035. It is important to note that beneficiaries in the age 61 and younger category are primarily disability beneficiaries but also include some aged survivor beneficiaries who began to receive benefits at age 60 or 61. (Other Social Security beneficiaries who are eligible to receive benefits before age 60--such as children of retired, disabled, or deceased workers--are not included in the analysis in this report.) For retirement beneficiaries, the earliest age of eligibility is age 62. Thus, no retirement beneficiaries are included in the age 61 and younger category. ¢ All of the policy options include tables in the report that break down the beneficiary population by income quintile. In other words, they separate the Dynasim population into five equal parts-- ¢ ¢ the one-fifth with the highest incomes, the one-fifth with the second-highest incomes, etc., down to the one-fifth with the lowest income. For the purposes of this analysis, income includes Social Security benefits, Supplemental Security Income (SSI) benefits, pension payments, earnings, and the annuitized value of financial assets. Income is calculated on a per capita basis, which means that for married couples the income of both spouses is averaged together. It is important to note the distinction between income levels and Social Security benefit amounts. Some beneficiaries with relatively low Social Security benefit amounts may be included in one of the higher income quintiles and vice versa. For example, a beneficiary married to a person with a high income may be in one of the higher income quintiles despite receiving a small Social Security benefit. Similarly, a beneficiary with a relatively large Social Security benefit but with no other income may be in one of the lower income quintiles. There are three types of tables presented in this report: The first shows the mean and median changes under the policy option across socio-economic groups; the second shows the overall distribution of benefit or tax changes in the population; and the third shows the distribution of benefit or tax changes within each socio-economic group. The first table for each option summarizes the effect of the policy change on beneficiaries in 2035 across socio-economic groups (i.e., by gender, ethnicity, educational attainment, age, marital status, benefit type, and income quintile). These tables show the number in the population, the mean percent change in benefits or taxes between current law and the policy option, and the median percent change in benefits or taxes between current law and the policy option. For example, if a reader is interested in the average benefit reduction caused by reducing the COLA by half a percentage point, he or she should turn to Table 1. The first row (labeled "All") shows the total number in the population in thousands (e.g., the total population for Table 1 is 80,362,000). The first row also shows the mean change in benefits overall (-6%) and median change in benefits overall (-6%). In other words, it shows that among the 80 million beneficiaries in the Dynasim population, reducing the COLA by half a percentage point would result in a mean benefit reduction of 6% and also a median benefit reduction of 6%. (The mean and the median may vary for other options.) Table 1 also shows the mean and median change in benefits for each socio-economic group (i.e., by gender, ethnicity, educational attainment, age, marital status, benefit type, and income quintile). For example, the second and third rows of Table 1 show a breakdown by gender. Females make up the majority of the population (i.e., there are 43,566,000 females wompared with 36,766,000 males). Females and males have the same mean benefit reduction (6%). Males have a smaller median benefit reduction (5%) than do females (6%). The second table for each option show how the effects of each reform vary among the overall population. This table shows the number and percent of the population, broken down by the magnitude of the change in benefits. For example, the table shows the number and percent of ¢ ¢ beneficiaries whose benefits would be reduced by 20% or more, then the number and percent of beneficiaries whose benefits would be reduced by 10% to 19%, and so forth. For example, if a reader is interested in knowing whether the cuts caused by reducing the COLA by half a percentage point are spread equally across the entire sample, he or she should turn to Table 2. Table 2 shows that a small number of beneficiaries (103,000 people, or less than 0.5%) would have benefit reductions of 20% or more. A larger number (14,973,000 people, or about 19%) have benefit reductions of 10% to 19%. Most beneficiaries (63,232,000 people, or about 79%) would have benefit reductions of up to 10%. The last two columns in Table 2 show the cumulative number and percent of beneficiaries. The subsequent tables for each option show the varied effects of these reforms on beneficiaries in 2035 within each socio-economic group (i.e., gender, ethnicity, educational attainment, age, marital status, benefit type, and income quintile). For example, if a reader is interested in knowing how the cuts caused by reducing the COLA by half a percentage point are distributed by gender, he or she should turn to Table 3. There, the reader could see that the majority of both females and males would have a benefit cut of up to 10% (i.e., 75% of females and 83% of males). The reader could also see that females are more likely than males to receive a cut that is greater than 10% (i.e., 23% of females and 14% of males). The percentages in each horizontal row add up to 100%. ¢ Sometimes the results shown in this report may be unexpected. For example, an option to cut Social Security benefits could result in a small number of beneficiaries receiving an increase in their benefits. Such counterintuitive results are not errors, but interactions between the option and the current law Social Security rules. For example, the interaction between the current law retirement earnings test (RET) and certain options to reduce benefits leads to benefit increases for some beneficiaries who were subject to the RET before reaching the full retirement age, but are currently older than the full retirement age. (For a full explanation of how this interaction works, please see Appendix C.) One of the advantages of a microsimulation model such as Dynasim is that it brings unexpected interactions between policy options and program rules to light. Social Security is a complex program, and changes to its structure could result in unintended consequences. ¢ The results presented in this report focus on individuals who are projected to receive Social Security retired worker, spouse, aged survivor and/or disability benefits in 2035. However, the Dynasim population does not include individuals who are projected to receive other types of Social Security benefits, including the children of retired, disabled, or deceased workers, surviving spouses under age 60 with a child in care, and the aged parents of deceased workers. ¢ ¢ ¢ The Dynasim model estimates future Social Security benefits by using a mix of historical data and projections. The historical data--which include actual beneficiaries' earnings, marital histories, Social Security benefits, and more--come from the Survey of Income and Program Participation (SIPP), the Current Population Survey (CPS), the Panel Study of Income Dynamics (PSID), and other sources. Using the historical data as a base, Dynasim projects future economic and demographic patterns by using the 2005 Social Security Trustees' official assumptions about future trends as well as statistical methods that take into account individual beneficiaries' characteristics. When interpreting the results of Dynasim or any other model, it is important to note that projections are inherently imprecise; the further into the future one looks, the wider the range of possible outcomes. (For a full explanation, please see Appendix E.) A full written analysis of all 12 policy options is available in CRS Report RL33840, Options to Address Social Security Solvency and Their Impact on Beneficiaries: Results from the Dynasim Microsimulation Model. For each reform option, that report explains current Social Security policy, reasons why some policymakers propose this particular type of reform, how the reform proposal works, the distributional effects of the reform proposal on various types of Social Security beneficiaries, and legislation related to the reform being analyzed. That report presents the distributional effects of these reform options in terms of Social Security beneficiaries' median payroll tax increase or benefit reduction and shows the varied effect of these reforms on beneficiaries along certain socio-economic lines (i.e., age, type of benefit received, and income quintile). That report, however, does not contain detailed analysis of the effects of these reforms on Social Security beneficiaries by gender, ethnicity, educational attainment, or marital status. When interpreting the distributional results of these reform options, it is important for the reader to have a solid understanding of Social Security program rules, technical details, and terminology. Detailed explanations of certain Social Security program rules and their potential interactions with policy options, along with an explanation of how the Dynasim model works and a glossary of Social Security and technical terms may be found in the following appendices of the report: · Appendix A, "Computation of the Primary Insurance Amount (PIA) Under Current Law" · Appendix B, "Interaction of Spouse and Aged Survivor Benefit Rules with Policy Options" · Appendix C, "Interaction of the Retirement Earnings Test with Policy Options" Appendix D, "Technical Description of the Progressive Price Indexing Option" · Appendix E, "Background on the Urban Institute's Dynasim Model" · Appendix F, "Glossary." 6- 6- 248,6 esuopS 5- 5- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB 5- 5- 247,9 deirram reveN 6- 6- 987,11 decroviD 9- 8- 808,71 dewodiW 5- 5- 320,14 deirraM sutatS latiraM 11- 01- 382,6 redlo ro 68 01- 01- 171,9 58--18 8- 8- 979,31 08--67 5- 6- 448,61 57--17 3- 4- 855,41 07--76 1- 3- 888,31 66--26 3- 4- 936,5 regnuoy ro 16 egA 6- 6- 350,52 etaudarg egelloC 6- 6- 525,81 egelloc emoS 6- 6- 352,72 etaudarg loohcs hgiH 6- 6- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 5- 5- 588,11 cinapsiH 5- 6- 453,5 naisA 5- 6- 314 naciremA evitaN 5- 6- 494,8 cinapsiH-non kcalB 6- 6- 712,45 cinapsiH-non etihW yticinhtE 5- 6- 667,63 elaM 6- 6- 695,34 elameF redneG 6- 6- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :tnioP egatnecreP a flaH yb ALOC eht ecudeR . 1 elbaT ¢ ¢ ¢ .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 341 119,1 232,36 379,41 301 )s000( rebmun latoT 001 0 3 38 41 0 elaM 001 0 2 57 32 0 elameF %01 egnahc %01- %01- erom tnecreP ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :tnioP egatnecreP a flaH yb ALOC eht ecudeR .3 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 341 %01 ot pU 001 912,08 2 119,1 egnahc oN 79 803,87 97 232,36 %01- ot pU 91 770,51 91 379,41 %91- ot %01- 0 301 0 301 erom ro %02- tnecreP )s000( )s000( yrogetaC egnahC evitalumuC rebmuN tnecreP rebmuN egatnecreP evitalumuC 5302 ni tcapmI yb noitubirtsiD :tnioP egatnecreP a flaH yb ALOC eht ecudeR .2 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 5- 6- 370,61 elitniuq tsehgiH 5- 6- 370,61 elitniuq htruoF 6- 6- 170,61 elitniuq drihT 6- 6- 370,61 elitniuq dnoceS 6- 6- 170,61 elitniuq tsewoL elitniuQ emocnI 6- 6- 701,51 ylno ytilibasiD 01- 9- 931,21 rovivruS )s000( naideM naeM rebmuN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 341 119,1 232,36 379,41 301 )s000( rebmun latoT 001 0 2 18 71 0 rehgih ro etaudarg egelloC 001 0 2 97 91 0 egelloc emoS 001 0 3 77 02 0 etaudarg loohcs hgiH 001 0 3 77 02 0 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom tnecreP ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :tnioP egatnecreP a flaH yb ALOC eht ecudeR .5 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 341 119,1 232,36 379,41 301 rebmun latoT 001 0 3 38 41 0 cinapsiH 001 0 3 18 61 0 naisA 001 0 2 28 51 0 naciremA evitaN 001 0 4 77 91 0 cinapsiH-non kcalB 001 0 2 87 02 0 cinapsiH -non etihW tnecrep %01 egnahc %01- %01- erom latoT ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :tnioP egatnecreP a flaH yb ALOC eht ecudeR . 4 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 341 119,1 232,36 379,41 301 rebmun latoT 001 0 3 18 51 0 deirram reveN 001 0 2 08 71 0 decroviD 001 0 1 95 04 0 dewodiW 001 0 3 68 01 0 deirraM %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :tnioP egatnecreP a flaH yb ALOC eht ecudeR .7 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 341 119,1 232,36 379,41 301 rebmun latoT 001 0 0 4 69 0 redlo ro 68 001 0 0 55 54 0 58--18 001 0 0 78 31 0 08--67 001 0 0 39 7 0 57--17 001 0 0 69 4 0 07--76 001 0 01 58 4 1 66--26 001 0 9 87 21 0 regnuoy ro 16 %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :tnioP egatnecreP a flaH yb ALOC eht ecudeR . 6 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 341 119,1 232,36 379,41 301 rebmun latoT 001 0 2 28 61 0 elitniuq tsehgiH 001 0 3 18 61 0 elitniuq htruoF 001 0 2 08 81 0 elitniuq drihT 001 0 2 87 02 0 elitniuq dnoceS 001 0 2 47 42 0 elitniuq tsewoL %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :tnioP egatnecreP a flaH yb ALOC eht ecudeR .9 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 341 119,1 232,36 379,41 301 rebmun latoT 001 0 4 17 52 0 ylno ytilibasiD 001 0 0 05 05 0 rovivruS 001 1 1 68 11 0 esuopS 001 0 3 88 9 0 ylno rekrow deriteR %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :tnioP egatnecreP a flaH yb ALOC eht ecudeR . 8 elbaT ¢ ¢ 11- 11- 248,6 esuopS 9- 01- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB 9- 01- 247,9 deirram reveN 11- 11- 987,11 decroviD 71- 51- 808,71 dewodiW 9- 01- 320,14 deirraM sutatS latiraM 02- 02- 382,6 redlo ro 68 91- 81- 171,9 58--18 41- 51- 979,31 08--67 01- 11- 448,61 57--17 7- 7- 855,41 07--76 3- 5- 888,31 66--26 6- 8- 936,5 regnuoy ro 16 egA 11- 11- 350,52 rehgih ro etaudarg egelloC 21- 21- 525,81 egelloc emoS 11- 21- 352,72 etaudarg loohcs hgiH 11- 11- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 9- 01- 588,11 cinapsiH 01- 11- 453,5 naisA 01- 11- 314 naciremA evitaN 01- 11- 494,8 cinapsiH-non kcalB 21- 21- 712,45 cinapsiH-non etihW yticinhtE 01- 11- 667,63 elaM 21- 21- 695,34 elameF redneG 11- 11- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :tnioP egatnecreP enO yb ALOC eht ecudeR .01 elbaT ¢ ¢ ¢ .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 141 609,1 228,23 725,23 769,21 )s000( rebmun latoT 001 0 3 54 04 21 elaM 001 0 2 73 14 02 elameF %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :tnioP egatnecreP enO yb ALOC eht ecudeR .21 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 141 %01 ot pU 001 122,08 2 609,1 egnahc oN 79 613,87 14 228,23 %01- ot pU 75 494,54 04 725,23 %91- ot %01- 61 769,21 61 769,21 erom ro %02- tnecreP )s000( )s000( yrogetaC egnahC evitalumuC rebmuN tnecreP rebmuN egatnecreP evitalumuC 5302 ni tcapmI yb noitubirtsiD :tnioP egatnecreP enO yb ALOC eht ecudeR .11 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 11- 21- 370,61 elitniuq tsehgiH 01- 11- 370,61 elitniuq htruoF 11- 11- 170,61 elitniuq drihT 11- 11- 370,61 elitniuq dnoceS 21- 21- 170,61 elitniuq tsewoL elitniuQ emocnI 11- 11- 701,51 ylno ytilibasiD 91- 61- 931,21 rovivruS )s000( naideM naeM rebmuN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 141 609,1 228,23 725,23 769,21 )s000( rebmun latoT 001 0 2 34 04 41 rehgih ro etaudarg egelloC 001 0 2 93 34 61 egelloc emoS 001 0 3 93 04 81 etaudarg loohcs hgiH 001 0 3 24 73 81 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :tnioP egatnecreP enO yb ALOC eht ecudeR .41 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 141 609,1 228,23 725,23 769,21 )s000( rebmun latoT 001 0 3 84 73 21 cinapsiH 001 0 3 34 93 41 naisA 001 0 2 54 93 41 naciremA evitaN 001 0 4 34 63 71 cinapsiH-non kcalB 001 0 2 93 24 71 cinapsiH -non etihW %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :tnioP egatnecreP enO yb ALOC eht ecudeR . 31 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 141 609,1 228,23 725,23 769,21 rebmun latoT 001 0 3 84 43 41 deirram reveN 001 0 2 04 24 51 decroviD 001 0 1 91 54 53 dewodiW 001 0 3 94 04 9 deirraM %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :tnioP egatnecreP enO yb ALOC eht ecudeR .61 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 141 609,1 228,23 725,23 769,21 rebmun latoT 001 0 0 1 5 49 redlo ro 68 001 0 0 1 76 13 58--18 001 0 0 2 78 01 08--67 001 0 0 73 65 6 57--17 001 0 0 58 11 3 07--76 001 0 01 67 01 4 66--26 001 0 9 55 42 11 regnuoy ro 16 %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :tnioP egatnecreP enO yb ALOC eht ecudeR . 51 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 141 609,1 228,23 725,23 769,21 rebmun latoT 001 0 2 44 04 41 elitniuq tsehgiH 001 0 3 44 04 41 elitniuq htruoF 001 0 2 14 24 51 elitniuq drihT 001 0 2 93 14 71 elitniuq dnoceS 001 0 2 63 04 12 elitniuq tsewoL %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :tnioP egatnecreP enO yb ALOC eht ecudeR .81 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 141 609,1 228,23 725,23 769,21 rebmun latoT 001 0 4 04 33 32 ylno ytilibasiD 001 0 0 21 34 44 rovivruS 001 1 1 44 74 8 esuopS 001 0 3 84 24 8 ylno rekrow deriteR %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :tnioP egatnecreP enO yb ALOC eht ecudeR . 71 elbaT ¢ ¢ 3- 3- 247,9 deirram reveN 3- 3- 987,11 decroviD 2- 2- 808,71 dewodiW 3- 3- 320,14 deirraM sutatS latiraM 0 0 382,6 redlo ro 68 2- 2- 171,9 58--18 2- 3- 979,31 08--67 3- 3- 448,61 57--17 3- 3- 855,41 07--76 3- 5- 888,31 66--26 3- 3- 936,5 regnuoy ro 16 egA 2- 3- 350,52 rehgih ro etaudarg egelloC 2- 3- 525,81 egelloc emoS 3- 3- 352,72 etaudarg loohcs hgiH 3- 3- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 3- 4- 588,11 cinapsiH 3- 4- 453,5 naisA 2- 2- 314 naciremA evitaN 3- 3- 494,8 cinapsiH-non kcalB 2- 3- 712,45 cinapsiH-non etihW yticinhtE 3- 3- 667,63 elaM 2- 3- 695,34 elameF redneG 2- 3- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :seiraicifeneB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .91 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 34 %01 ot pU 001 023,08 71 469,31 egnahc oN 38 653,66 28 038,56 %01- ot pU 1 625 0 452 %91- ot %01- 0 272 0 272 erom ro %02- tnecreP )s000( )s000( evitalumuC rebmuN tnecreP rebmuN yrogetaC egnahC egatnecreP evitalumuC 5302 ni tcapmI yb noitubirtsiD :seiraicifeneB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .02 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 2- 2- 370,61 elitniuq tsehgiH 2- 3- 370,61 elitniuq htruoF 3- 3- 170,61 elitniuq drihT 3- 3- 370,61 elitniuq dnoceS 3- 3- 170,61 elitniuq tsewoL elitniuQ emocnI 3- 3- 701,51 ylno ytilibasiD 1- 2- 931,21 rovivruS 2- 3- 248,6 esuopS 3- 3- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB )s000( naideM naeM rebmuN ¢ ¢ 001 0 81 28 0 0 egelloc emoS 001 0 91 18 0 0 etaudarg loohcs hgiH 001 0 91 18 0 0 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :seiraicifeneB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .32 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 34 469,31 038,56 452 272 )s000( rebmun latoT 001 0 31 68 0 0 cinapsiH 001 0 51 48 0 1 naisA 001 0 51 48 1 0 naciremA evitaN 001 0 81 18 0 0 cinapsiH-non kcalB 001 0 91 18 0 0 cinapsiH-non etihW tnecrep %01 ot pU egnahc oN %01- ot pU %01- ot %91- erom ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :seiraicifeneB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .22 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 34 469,31 038,56 452 272 rebmun latoT 001 0 31 68 0 0 elaM 001 0 12 87 0 0 elameF %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :seiraicifeneB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 12 elbaT ¢ ¢ .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS )s000( 263,08 34 469,31 038,56 452 272 rebmun latoT 001 0 41 58 0 0 deirram reveN 001 0 61 38 0 0 decroviD 001 0 73 26 0 0 dewodiW 001 0 01 98 0 0 deirraM %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :seiraicifeneB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .52 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 34 469,31 038,56 452 272 )s000( rebmun latoT 001 0 59 5 0 0 redlo ro 68 001 0 33 66 0 0 58--18 001 0 21 88 0 0 08--67 001 0 8 29 0 0 57--17 001 0 5 59 0 0 07--76 001 0 3 39 2 2 66--26 001 0 21 88 0 0 regnuoy ro 16 %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :seiraicifeneB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .42 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 34 469,31 038,56 452 272 )s000( rebmun latoT 001 0 51 48 0 0 etaudarg egelloC %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 34 469,31 038,56 452 272 )s000( rebmun latoT 001 0 61 38 1 1 elitniuq tsehgiH 001 0 51 48 1 1 elitniuq htruoF 001 0 61 48 0 0 elitniuq drihT 001 0 81 28 0 0 elitniuq dnoceS 001 0 22 87 0 0 elitniuq tsewoL %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :seiraicifeneB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .72 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 34 469,31 038,56 452 272 )s000( rebmun latoT 001 0 42 67 0 0 ylno ytilibasiD 001 0 74 35 0 0 rovivruS 001 0 11 98 0 0 esuopS 001 0 8 19 1 1 ylno rekrow deriteR %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :seiraicifeneB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 62 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN ¢ ¢ 1- 2- 247,9 deirram reveN 2- 2- 987,11 decroviD 1- 2- 808,71 dewodiW 2- 3- 320,14 deirraM sutatS latiraM 0 0 382,6 redlo ro 68 1- 2- 171,9 58--18 2- 2- 979,31 08--67 2- 2- 448,61 57--17 2- 2- 855,41 07--76 3- 4- 888,31 66--26 0 0 936,5 regnuoy ro 16 egA 2- 2- 350,52 rehgih ro etaudarg egelloC 2- 2- 525,81 egelloc emoS 2- 2- 352,72 etaudarg loohcs hgiH 2- 2- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 2- 3- 588,11 cinapsiH 3- 3- 453,5 naisA 1- 2- 314 naciremA evitaN 2- 2- 494,8 cinapsiH-non kcalB 2- 2- 712,45 cinapsiH-non etihW yticinhtE 2- 2- 667,63 elaM 2- 2- 695,34 elameF redneG 2- 2- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :seiraicifeneB ytilibasiD tuB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 82 elbaT ¢ ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 951 %01 ot pU 001 402,08 33 821,62 egnahc oN 76 670,45 76 725,35 %01- ot pU 1 945 0 472 %91- ot %01- 0 472 0 472 erom ro %02- tnecreP )s000( )s000( evitalumuC rebmuN tnecreP rebmuN yrogetaC egnahC egatnecreP evitalumuC 5302 ni tcapmI yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .92 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 1- 2- 370,61 elitniuq tsehgiH 2- 2- 370,61 elitniuq htruoF 2- 2- 170,61 elitniuq drihT 2- 2- 370,61 elitniuq dnoceS 2- 2- 170,61 elitniuq tsewoL LC - elitniuq emocnI 0 0 701,51 ylno ytilibasiD 0 1- 931,21 rovivruS 2- 2- 248,6 esuopS 3- 3- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB )s000( naideM naeM rebmuN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 951 821,62 725,35 472 472 )s000( rebmun latoT 001 0 43 56 1 0 cinapsiH 001 0 92 96 0 1 naisA 001 1 23 76 1 0 naciremA evitaN 001 0 04 95 0 0 cinapsiH-non kcalB 001 0 13 86 0 0 cinapsiH-non etihW %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .13 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 951 821,62 725,35 472 472 )s000( rebmun latoT 001 0 03 96 0 0 elaM 001 0 43 56 0 0 elameF %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 03 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 951 821,62 725,35 472 472 )s000( rebmun latoT 001 0 69 4 0 0 redlo ro 68 001 0 63 46 0 0 58--18 001 0 81 28 0 0 08--67 001 0 81 18 0 0 57--17 001 0 71 38 0 0 07--76 001 0 32 37 2 2 66--26 001 0 79 3 0 0 regnuoy ro 16 %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .33 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 951 821,62 725,35 472 472 )s000( rebmun latoT 001 0 72 27 0 0 rehgih ro etaudarg egelloC 001 0 92 07 0 0 egelloc emoS 001 0 63 36 0 0 etaudarg loohcs hgiH 001 0 44 55 0 0 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 23 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 951 821,62 725,35 472 472 )s000( rebmun latoT 001 0 001 0 0 0 ylno ytilibasiD 001 0 55 54 0 0 rovivruS 001 1 31 68 0 0 esuopS 001 0 8 19 1 1 ylno rekrow deriteR %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI .53 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 951 821,62 725,35 472 472 )s000( rebmun latoT 001 0 44 55 0 0 deirram reveN 001 0 33 66 0 0 decroviD 001 0 64 45 0 0 dewodiW 001 0 42 57 0 0 deirraM %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 43 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 951 821,62 725,35 472 472 )s000( rebmun latoT 001 0 32 57 1 1 elitniuq tsehgiH 001 0 82 17 1 1 elitniuq htruoF 001 0 33 76 0 0 elitniuq drihT 001 0 83 16 0 0 elitniuq dnoceS 001 0 14 95 0 0 elitniuq tsewoL %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 83 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 63 elbaT ¢ ¢ 5- 5- 247,9 deirram reveN 4- 5- 987,11 decroviD 3- 3- 808,71 dewodiW 5- 5- 320,14 deirraM sutatS latiraM 0 0 382,6 redlo ro 68 3- 3- 171,9 58--18 4- 4- 979,31 08--67 4- 5- 448,61 57--17 5- 5- 855,41 07--76 6- 8- 888,31 66--26 5- 5- 936,5 regnuoy ro 16 egA 4- 4- 350,52 rehgih ro etaudarg egelloC 4- 5- 525,81 egelloc emoS 4- 5- 352,72 etaudarg loohcs hgiH 5- 6- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( sleveL noitacudE 5- 6- 588,11 cinapsiH 6- 6- 453,5 naisA 4- 4- 314 naciremA evitaN 5- 5- 494,8 cinapsiH-non kcalB 4- 4- 712,45 cinapsiH-non etihW yticinhtE 4- 5- 667,63 elaM 4- 5- 695,34 elameF redneG 4- 5- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :seiraicifeneB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .73 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 53 %01 ot pU 001 723,08 61 171,31 egnahc oN 48 651,76 97 348,36 %01- ot pU 4 313,3 4 288,2 %91- ot %01- 1 034 1 034 erom ro %02- tnecreP )s000( )s000( evitalumuC rebmuN tnecreP rebmuN yrogetaC egnahC egatnecreP evitalumuC 5302 ni tcapmI yb noitubirtsiD :seiraicifeneB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .83 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 3- 4- 370,61 elitniuq tsehgiH 4- 5- 370,61 elitniuq htruoF 4- 5- 170,61 elitniuq drihT 5- 5- 370,61 elitniuq dnoceS 5- 5- 170,61 elitniuq tsewoL LC - elitniuQ emocnI 5- 4- 701,51 ylno ytilibasiD 2- 3- 931,21 rovivruS 4- 4- 248,6 esuopS 5- 5- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB )s000( naideM naeM rebmuN ¢ ¢ 001 0 71 08 3 0 egelloc emoS 001 0 81 87 4 1 etaudarg loohcs hgiH 001 0 81 17 11 0 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :seiraicifeneB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .14 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 53 171,31 348,36 288,2 034 )s000( rebmun latoT 001 0 21 97 8 1 cinapsiH 001 0 41 97 6 1 naisA 001 0 31 38 4 0 naciremA evitaN 001 0 71 77 5 1 cinapsiH-non kcalB 001 0 71 08 2 0 cinapsiH-non etihW %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :seiraicifeneB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .04 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 53 171,31 348,36 288,2 034 )s000( rebmun latoT 001 0 21 58 3 1 elaM 001 0 02 57 4 1 elameF %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :seiraicifeneB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 93 elbaT ¢ ¢ 001 0 51 08 4 1 decroviD 001 0 73 16 2 0 dewodiW 001 0 8 78 4 1 deirraM %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :seiraicifeneB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .34 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 53 171,31 348,36 288,2 034 )s000( rebmun latoT 001 0 59 5 0 0 redlo ro 68 001 0 23 66 2 0 58--18 001 0 11 68 3 0 08--67 001 0 7 09 3 0 57--17 001 0 4 39 3 0 07--76 001 0 3 68 8 3 66--26 001 0 11 48 5 0 regnuoy ro 16 %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :seiraicifeneB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .24 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 53 171,31 348,36 288,2 034 )s000( rebmun latoT 001 0 41 48 2 1 rehgih ro etaudarg egelloC %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 53 171,31 348,36 288,2 034 )s000( rebmun latoT 001 0 41 48 2 1 elitniuq tsehgiH 001 0 41 38 2 1 elitniuq htruoF 001 0 51 38 1 0 elitniuq drihT 001 0 81 08 2 0 elitniuq dnoceS 001 0 22 76 11 0 elitniuq tsewoL %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :seiraicifeneB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .54 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 53 171,31 348,36 288,2 034 )s000( rebmun latoT 001 0 42 37 4 0 ylno ytilibasiD 001 0 74 25 1 0 rovivruS 001 0 7 09 3 0 esuopS 001 0 8 78 4 1 ylno rekrow deriteR %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :seiraicifeneB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .44 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 53 171,31 348,36 288,2 034 )s000( rebmun latoT 001 0 41 08 5 0 deirram reveN ¢ ¢ 3- 3- 247,9 deirram reveN 3- 4- 987,11 decroviD 2- 3- 808,71 dewodiW 4- 4- 320,14 deirraM sutatS latiraM 0 0 382,6 redlo ro 68 2- 3- 171,9 58--18 4- 4- 979,31 08--67 4- 4- 448,61 57--17 4- 4- 855,41 07--76 5- 6- 888,31 66--26 0 0 936,5 regnuoy ro 16 egA 3- 4- 350,52 rehgih ro etaudarg egelloC 3- 4- 525,81 egelloc emoS 3- 4- 352,72 etaudarg loohcs hgiH 3- 4- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 4- 4- 588,11 cinapsiH 5- 5- 453,5 naisA 2- 3- 314 naciremA evitaN 3- 4- 494,8 cinapsiH-non kcalB 3- 3- 712,45 cinapsiH-non etihW yticinhtE 3- 4- 667,63 elaM 3- 4- 695,34 elameF redneG 3- 4- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :seiraicifeneB ytilibasiD tuB llA rof 04 ot sraeY noitatupmoC fo rebmuN eh t esaercnI .64 elbaT ¢ ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 331 %01 ot pU 001 922,08 23 540,62 egnahc oN 76 481,45 46 874,15 %01- ot pU 3 607,2 3 872,2 %91- ot %01- 1 824 1 824 erom ro %02- tnecreP )s000( )s000( evitalumuC rebmuN tnecreP rebmuN yrogetaC egnahC egatnecreP evitalumuC 5302 ni tcapmI yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .74 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 3- 4- 370,61 elitniuq tsehgiH 3- 4- 370,61 elitniuq htruoF 3- 4- 170,61 elitniuq drihT 4- 4- 370,61 elitniuq dnoceS 4- 4- 170,61 elitniuq tsewoL elitniuQ emocnI 0 0 701,51 ylno ytilibasiD 0 2- 931,21 rovivruS 3- 4- 248,6 esuopS 5- 5- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB )s000( naideM naeM rebmuN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 331 540,62 874,15 872,2 824 )s000( rebmun latoT 001 0 43 95 6 1 cinapsiH 001 0 92 46 6 1 naisA 001 1 23 66 2 0 naciremA evitaN 001 0 04 55 4 1 cinapsiH-non kcalB 001 0 13 76 2 0 cinapsiH-non etihW %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .94 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 331 540,62 874,15 872,2 824 )s000( rebmun latoT 001 0 03 76 3 1 elaM 001 0 43 26 3 0 elameF %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 84 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 331 540,62 874,15 872,2 824 )s000( rebmun latoT 001 0 69 4 0 0 redlo ro 68 001 0 63 26 2 0 58--18 001 0 81 08 2 0 08--67 001 0 81 97 3 0 57--17 001 0 71 08 3 0 07--76 001 0 32 76 7 3 66--26 001 0 79 3 0 0 regnuoy ro 16 %01 egnahc %01- %01- erom tnecrep ot pU oN ot pU ot %91- ro %02- latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .15 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 331 540,62 874,15 872,2 824 )s000( rebmun latoT 001 0 72 17 1 1 etaudarg egelloC 001 0 92 86 2 0 egelloc emoS 001 0 63 06 3 1 etaudarg loohcs hgiH 001 0 44 84 8 0 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 05 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 331 540,62 874,15 872,2 824 )s000( rebmun latoT 001 0 001 0 0 0 ylno ytilibasiD 001 0 55 44 1 0 rovivruS 001 1 21 48 2 0 esuopS 001 0 8 78 4 1 ylno rekrow deriteR %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI .35 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 331 540,62 874,15 872,2 824 )s000( rebmun latoT 001 0 44 25 3 0 deirram reveN 001 0 23 46 3 1 decroviD 001 0 54 25 2 0 dewodiW 001 0 42 27 3 1 deirraM %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 25 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 331 540,62 874,15 872,2 824 )s000( rebmun latoT 001 0 32 47 1 1 elitniuQ tsehgiH 001 0 82 96 2 1 elitniuQ htruoF 001 0 33 66 1 0 elitniuQ drihT 001 0 83 06 1 0 elitniuQ dnoceS 001 0 14 05 8 0 elitniuQ tsewoL %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :seiraicifeneB ytilibasiD tuB llA rof 04 ot sraeY noitatupmoC fo rebmuN eht esaercnI . 45 elbaT ¢ ¢ 1- 2- 247,9 deirram reveN 2- 2- 987,11 decroviD 0 1- 808,71 dewodiW 2- 3- 320,14 deirraM sutatS latiraM 0 0 382,6 redlo ro 68 1- 2- 171,9 58--18 2- 2- 979,31 08--67 2- 1- 448,61 57--17 3- 2- 855,41 07--76 4- 5- 888,31 66--26 0 0 936,5 regnuoy ro 16 egA 2- 2- 350,52 rehgih ro etaudarg egelloC 2- 2- 525,81 egelloc emoS 1- 2- 352,72 etaudarg loohcs hgiH 1- 2- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( sutatS noitacudE 2- 2- 588,11 cinapsiH 2- 2- 453,5 naisA 1- 2- 314 naciremA evitaN 1- 2- 494,8 cinapsiH-non kcalB 2- 2- 712,45 cinapsiH-non etihW yticinhtE 2- 2- 667,63 elaM 1- 2- 695,34 elameF redneG 2- 2- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naeM fo yrammuS :egA tnemeriteR lluF eht esaercnI . 55 elbaT ¢ ¢ ¢ .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 410,2 487,82 447,84 164 063 )s000( rebmun latoT 001 3 33 36 1 1 elaM 001 2 83 95 0 0 elameF %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :egA tnemeriteR lluF eht esaercnI .75 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 3 410,2 %01 ot pU 79 843,87 63 487,82 egnahc oN 26 565,94 16 447,84 %01- ot pU 1 128 1 164 %91- ot %01- 0 063 0 063 erom ro %02- tnecreP )s000( )s000( evitalumuC rebmuN tnecreP rebmuN yrogetaC egnahC egatnecreP evitalumuC 5302 ni tcapmI yb noitubirtsiD :egA tnemeriteR lluF eht esaercnI .65 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 2- 3- 370,61 elitniuq tsehgiH 2- 2- 370,61 elitniuq htruoF 2- 2- 170,61 elitniuq drihT 1- 2- 370,61 elitniuq dnoceS 1- 2- 170,61 elitniuq tsewoL elitniuQ emocnI 0 0 701,51 ylno ytilibasiD 0 0 931,21 rovivruS 2- 2- 248,6 esuopS 3- 3- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB )s000( naideM naeM rebmuN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 410,2 487,82 447,84 164 063 )s000( rebmun latoT 001 4 03 56 1 1 rehgih ro etaudarg egelloC 001 3 23 46 1 0 egelloc emoS 001 2 04 85 1 0 etaudarg loohcs hgiH 001 1 64 15 0 0 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :egA tnemeriteR lluF eht esaercnI .95 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 410,2 487,82 447,84 164 063 )s000( rebmun latoT 001 2 73 06 1 0 cinapsiH 001 3 23 46 1 1 naisA 001 2 04 75 1 0 naciremA evitaN 001 2 24 55 1 1 cinapsiH-non kcalB 001 3 53 16 1 0 cinapsiH-non etihW %01 egnahc %01- %01- erom ot pU oN ot pU -ot %91 ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :egA tnemeriteR lluF eht esaercnI . 85 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN ¢ ¢ 001 2 71 18 0 0 esuopS 001 4 9 58 1 1 ylno rekrow deriteR %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :egA tnemeriteR lluF eht esaercnI .26 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 410,2 487,82 447,84 164 063 )s000( rebmun latoT 001 2 54 25 1 0 deirram reveN 001 2 53 16 1 1 decroviD 001 2 45 34 0 0 dewodiW 001 3 62 07 1 1 deirraM %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :egA tnemeriteR lluF eht esaercnI .16 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 410,2 487,82 447,84 164 063 )s000( rebmun latoT 001 0 99 1 0 0 redlo ro 68 001 0 24 85 0 0 58--18 001 41 42 26 0 0 08--67 001 0 32 67 0 0 57--17 001 0 81 28 0 0 07--76 001 0 32 17 3 3 66--26 001 0 99 1 0 0 regnuoy ro 16 %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :egA tnemeriteR lluF eht esaercnI . 06 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 410,2 487,82 447,84 164 063 )s000( rebmun latoT 001 4 72 66 1 1 elitniuq tsehgiH 001 3 13 36 1 1 elitniuq htruoF 001 2 73 06 0 0 elitniuq drihT 001 2 14 75 0 0 elitniuq dnoceS 001 1 34 65 0 0 elitniuq tsewoL %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :egA tnemeriteR lluF eht esaercnI .36 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 410,2 487,82 447,84 164 063 )s000( rebmun latoT 001 0 001 0 0 0 ylno ytilibasiD 001 1 86 03 0 0 rovivruS %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP ¢ ¢ 6- 6- 247,9 deirram reveN 5- 6- 987,11 decroviD 2- 3- 808,71 dewodiW 6- 6- 320,14 deirraM sutatS latiraM 0 0 382,6 redlo ro 68 1- 1- 171,9 58--18 3- 3- 979,31 08--67 5- 5- 448,61 57--17 8- 7- 855,41 07--76 01- 21- 888,31 66--26 8- 7- 936,5 regnuoy ro 16 egA 5- 6- 350,52 rehgih ro etaudarg egelloC 5- 5- 525,81 egelloc emoS 5- 5- 352,72 etaudarg loohcs hgiH 5- 5- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 6- 6- 588,11 cinapsiH 6- 6- 453,5 naisA 6- 5- 314 naciremA evitaN 5- 6- 494,8 cinapsiH-non kcalB 5- 5- 712,45 cinapsiH-non etihW yticinhtE 6- 6- 667,63 elaM 5- 5- 695,34 elameF redneG 5- 6- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :ytivegnoL rof srotcaF alumroF AIP eht xednI . 46 elbaT ¢ ¢ ¢ ¡ ¢ ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 03 %01 ot pU 001 233,08 61 671,31 egnahc oN 48 651,76 67 369,06 %01- ot pU 8 391,6 7 112,5 %91- ot %01- 1 289 1 289 erom ro %02- tnecreP )s000( )s000( evitalumuC rebmuN tnecreP rebmuN yrogetaC egnahC egatnecreP evitalumuC 5302 ni tcapmI yb noitubirtsiD :ytivegnoL rof srotcaF alumroF AIP eht xednI .56 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 6- 7- 370,61 elitniuq tsehgiH 5- 6- 370,61 elitniuq htruoF 5- 5- 170,61 elitniuq drihT 5- 5- 370,61 elitniuq dnoceS 4- 5- 170,61 elitniuq tsewoL elitniuQ emocnI 5- 5- 701,51 ylno ytilibasiD 1- 2- 931,21 rovivruS 5- 5- 248,6 esuopS 6- 7- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB )s000( naideM naeM rebmuN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 03 671,31 369,06 112,5 289 )s000( rebmun latoT 001 0 21 87 9 1 cinapsiH 001 0 41 87 6 2 naisA 001 0 31 18 5 1 naciremA evitaN 001 0 71 37 9 2 cinapsiH-non kcalB 001 0 71 67 6 1 cinapsiH-non etihW %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :ytivegnoL rof srotcaF alumroF AIP eht xednI .76 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 03 671,31 369,06 112,5 289 )s000( rebmun latoT 001 0 21 97 8 2 elaM 001 0 02 37 6 1 elameF %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :ytivegnoL rof srotcaF alumroF AIP eht xednI . 66 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 03 671,31 369,06 112,5 289 )s000( rebmun latoT 001 0 59 5 0 0 redlo ro 68 001 0 33 76 0 0 58--18 001 0 11 98 0 0 08--67 001 0 7 39 0 0 57--17 001 0 4 69 1 0 07--76 001 0 3 26 82 7 66--26 001 0 11 07 91 0 regnuoy ro 16 %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :ytivegnoL rof srotcaF alumroF AIP eht xednI . 96 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 03 671,31 369,06 112,5 289 )s000( rebmun latoT 001 0 41 87 7 2 rehgih ro etaudarg egelloC 001 0 71 77 6 1 egelloc emoS 001 0 81 57 7 1 etaudarg loohcs hgiH 001 0 81 47 8 1 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :ytivegnoL rof srotcaF alumroF AIP eht xednI . 86 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 03 671,31 369,06 112,5 289 )s000( rebmun latoT 001 0 42 86 9 0 ylno ytilibasiD 001 0 64 25 1 0 rovivruS 001 0 8 68 6 0 esuopS 001 0 8 38 7 2 ylno rekrow deriteR %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :ytivegnoL rof srotcaF alumroF AIP eht xednI .17 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 03 671,31 369,06 112,5 289 )s000( rebmun latoT 001 0 41 67 9 1 deirram reveN 001 0 51 77 6 1 decroviD 001 0 63 16 2 0 dewodiW 001 0 9 28 8 2 deirraM %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :ytivegnoL rof srotcaF alumroF AIP eht xednI . 07 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 03 671,31 369,06 112,5 289 )s000( rebmun latoT 001 0 31 87 6 3 elitniuq tsehgiH 001 0 41 67 8 2 elitniuq htruoF 001 0 51 77 7 1 elitniuq drihT 001 0 81 67 6 0 elitniuq dnoceS 001 0 22 37 5 0 elitniuq tsewoL %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :ytivegnoL rof srotcaF alumroF AIP eht xednI . 27 elbaT ¢ ¢ 2- 3- 247,9 deirram reveN 2- 3- 987,11 decroviD 1- 2- 808,71 dewodiW 3- 4- 320,14 deirraM sutatS latiraM 0 0 382,6 redlo ro 68 1- 1- 171,9 58--18 2- 2- 979,31 08--67 3- 3- 448,61 57--17 5- 4- 855,41 07--76 6- 7- 888,31 66--26 0 0 936,5 regnuoy ro 16 egA 3- 3- 350,52 rehgih ro etaudarg egelloC 2- 3- 525,81 egelloc emoS 2- 3- 352,72 etaudarg loohcs hgiH 2- 3- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 3- 3- 588,11 cinapsiH 3- 3- 453,5 naisA 3- 3- 314 naciremA evitaN 2- 3- 494,8 cinapsiH-non kcalB 2- 3- 712,45 cinapsiH-non etihW yticinhtE 3- 3- 667,63 elaM 2- 3- 695,34 elameF redneG 2- 3- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :ytivegnoL rof eulaV AIP eht xednI . 37 elbaT ¢ ¢ ¢ ¢ ¡ ¢ ¢ ¢ .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 101 760,32 929,55 717 945 )s000( rebmun latoT 001 0 62 27 1 1 elaM 001 0 13 86 1 1 elameF %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :ytivegnoL rof eulaV AIP eht xednI .57 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 101 %01 ot pU 001 262,08 92 760,32 egnahc oN 17 591,75 07 929,55 %01- ot pU 2 662,1 1 717 %91- ot %01- 1 945 1 945 erom ro %02- )s000( tnecreP rebmuN )s000( evitalumuC evitalumuC tnecreP rebmuN yrogetaC egnahC egatnecreP 5302 ni tcapmI yb noitubirtsiD :ytivegnoL rof eulaV AIP eht xednI .47 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 3- 4- 370,61 elitniuq tsehgiH 3- 3- 370,61 elitniuq htruoF 2- 3- 170,61 elitniuq drihT 2- 2- 370,61 elitniuq dnoceS 2- 2- 170,61 elitniuq tsewoL elitniuQ emocnI 0 1- 701,51 ylno ytilibasiD 0 1- 931,21 rovivruS 3- 3- 248,6 esuopS 4- 4- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB )s000( naideM naeM rebmuN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 101 760,32 929,55 717 945 )s000( rebmun latoT 001 0 42 47 1 1 rehgih ro etaudarg egelloC 001 0 62 37 1 1 egelloc emoS 001 0 23 76 1 1 etaudarg loohcs hgiH 001 0 83 16 1 0 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :ytivegnoL rof eulaV AIP eht xednI . 77 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 76308 101 76032 92955 717 945 )s000( rebmun latoT 001 0 03 96 1 1 cinapsiH 001 0 62 27 1 1 naisA 001 0 72 27 1 0 naciremA evitaN 001 0 53 36 1 1 cinapsiH-non kcalB 001 0 82 17 1 1 cinapsiH-non etihW %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :ytivegnoL rof eulaV AIP eht xednI . 67 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 101 760,32 929,55 717 945 )s000( rebmun latoT 001 0 04 85 1 1 deirram reveN 001 0 82 07 1 1 decroviD 001 0 14 85 0 0 dewodiW 001 0 12 77 1 1 deirraM %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :ytivegnoL rof eulaV AIP eht xednI .97 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 101 760,32 929,55 717 945 )s000( rebmun latoT 001 0 59 5 0 0 redlo ro 68 001 0 33 76 0 0 58--18 001 0 31 68 0 0 08--67 001 0 21 88 0 0 57--17 001 0 11 98 0 0 07--76 001 0 32 86 5 4 66--26 001 0 79 3 0 0 regnuoy ro 16 %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :ytivegnoL rof eulaV AIP eht xednI . 87 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 101 760,32 929,55 717 945 )s000( rebmun latoT 001 0 02 67 2 2 elitniuq tsehgiH 001 0 42 37 2 1 elitniuq htruoF 001 0 82 17 1 0 elitniuq drihT 001 0 33 66 0 0 elitniuq dnoceS 001 0 73 36 0 0 elitniuq tsewoL %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :ytivegnoL rof eulaV AIP eht xednI .18 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 763,08 101 760,32 929,55 717 945 )s000( rebmun latoT 001 0 58 51 0 0 ylno ytilibasiD 001 1 94 05 0 0 rovivruS 001 0 11 88 0 0 esuopS 001 0 8 09 1 1 ylno rekrow deriteR %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :ytivegnoL rof eulaV AIP eht xednI . 08 elbaT ¢ ¢ 6- 7- 248,6 esuopS 6- 7- 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB 3- 5- 247,9 deirram reveN 4- 6- 987,11 decroviD 1- 4- 808,71 dewodiW 6- 7- 320,14 deirraM sutatS latiraM 0 0 382,6 redlo ro 68 1- 2- 171,9 58--18 4- 4- 979,31 08--67 7- 6- 448,61 57--17 9- 8- 855,41 07--76 8- 21- 888,31 66--26 2- 5- 936,5 regnuoy ro 16 egA 7- 8- 350,52 rehgih ro etaudarg egelloC 4- 6- 525,81 egelloc emoS 3- 5- 352,72 etaudarg loohcs hgiH 0 3- 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 2- 5- 588,11 cinapsiH 4- 6- 453,5 naisA 5- 6- 314 naciremA evitaN 3- 5- 494,8 cinapsiH-non kcalB 5- 6- 712,45 cinapsiH-non etihW yticinhtE 5- 7- 667,63 elaM 3- 5- 695,34 elameF redneG 4- 6- 263,08 llA )s000( naideM naeM rebmuN 5302 ni stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :htworG ecirP dna htworG egaW fo noitanibmoC a ot stifeneB laitinI xednI .28 elbaT ¢ ¡ ¢ ¢ .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 52 389,42 971,73 255,61 426,1 )s000( rebmun latoT 001 0 62 74 52 3 elaM 001 0 63 64 71 1 elameF %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni redneG yb noitubirtsiD :htworG ecirP dna htworG egaW fo noitanibmoC a ot stifeneB laitinI xednI .48 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 52 %01 ot pU 001 733,08 13 289,42 egnahc oN 96 553,55 64 971,73 %01- ot pU 32 571,81 12 255,61 %91- ot %01- 2 426,1 2 426,1 erom ro %02- tnecreP )s000( )s000( evitalumuC rebmuN tnecreP rebmuN yrogetaC egnahC egatnecreP evitalumuC 5302 ni tcapmI yb noitubirtsiD :htworG ecirP dna htworG egaW fo noitanibmoC a ot stifeneB laitinI xednI .38 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 9- 01- 370,61 elitniuq tsehgiH 7- 8- 370,61 elitniuq htruoF 5- 6- 170,61 elitniuq drihT 3- 4- 370,61 elitniuq dnoceS 0 1- 170,61 elitniuq tsewoL LC - elitniuQ emocnI 1- 4- 701,51 ylno ytilibasiD 0 3- 931,21 rovivruS )s000( naideM naeM rebmuN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 52 389,42 971,73 255,61 426,1 )s000( rebmun latoT 001 0 02 54 13 3 rehgih ro etaudarg egelloC 001 0 82 15 91 2 egelloc emoS 001 0 63 84 51 1 etaudarg loohcs hgiH 001 0 35 63 01 1 loohcs hgih etaudarg ton diD %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni leveL noitacudE yb noitubirtsiD :htworG ecirP dna htworG egaW fo noitanibmoC a ot stifeneB laitinI xednI .68 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 52 389,42 971,73 255,61 426,1 )s000( rebmun latoT 001 0 93 24 61 2 cinapsiH 001 0 33 34 32 2 naisA 001 0 72 74 62 1 naciremA evitaN 001 0 73 54 61 2 cinapsiH-non kcalB 001 0 82 84 22 2 cinapsiH-non etihW %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni yticinhtE yb noitubirtsiD :htworG ecirP dna htworG egaW fo noitanibmoC a ot stifeneB laitinI xednI . 58 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 52 389,42 971,73 255,61 426,1 )s000( rebmun latoT 001 0 73 34 81 2 deirram reveN 001 0 13 74 02 2 decroviD 001 0 44 34 21 1 dewodiW 001 0 42 84 52 3 deirraM %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni sutatS latiraM yb noitubirtsiD :htworG ecirP dna htworG egaW fo noitanibmoC a ot stifeneB laitinI xednI .88 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 52 389,42 971,73 255,61 426,1 )s000( rebmun latoT 001 0 69 3 0 0 redlo ro 68 001 0 24 75 1 0 58--18 001 0 42 47 2 0 08--67 001 0 02 65 32 0 57--17 001 0 91 73 34 0 07--76 001 0 52 13 43 01 66--26 001 0 83 83 32 1 regnuoy ro 16 %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni egA yb noitubirtsiD :htworG ecirP dna htworG egaW fo noitanibmoC a ot stifeneB laitinI xednI . 78 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 52 389,42 971,73 255,61 426,1 )s000( rebmun latoT 001 0 61 14 83 5 elitniuq tsehgiH 001 0 91 05 82 4 elitniuq htruoF 001 0 32 45 12 1 elitniuq drihT 001 0 13 65 31 0 elitniuq dnoceS 001 0 66 13 3 0 elitniuq tsewoL %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitubirtsiD :htworG ecirP dna htworG egaW fo noitanibmoC a ot stifeneB laitinI xednI .09 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 52 389,42 971,73 255,61 426,1 )s000( rebmun latoT 001 0 54 93 61 0 ylno ytilibasiD 001 0 15 93 9 1 rovivruS 001 0 91 15 72 2 esuopS 001 0 32 05 42 3 ylno rekrow deriteR %01 egnahc %01- %01- erom ot pU oN ot pU ot %91- ro %02- tnecrep latoT yrogetaC egnahC egatnecreP 5302 ni epyT tifeneB yb noitubirtsiD :htworG ecirP dna htworG egaW fo noitanibmoC a ot stifeneB laitinI xednI . 98 elbaT ¢ ¢ 0 0 090,6 +68 0 0 009,7 58-18 0 0 900,11 08-67 0 0 674,21 57-17 0 0 201,01 07-76 1 0 780,01 66-26 0 0 347,4 regnuoY ro 16 egA 1 0 818,31 rehgih ro etaudarg egelloC 0 0 920,51 egelloc emoS 0 0 075,42 etaudarg loohcs hgiH 0 0 099,8 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 0 0 450,01 cinapsiH 0 0 697,3 naisA 0 0 543 naciremA evitaN 0 0 994,7 cinapsiH-non kcalB 0 0 117,04 cinapsiH-non etihW yticinhtE 0 0 321,62 elaM 0 0 382,63 elameF redneG 0 0 604,26 llA stifeneb ni egnahc stifeneb ni egnahc )s000( sexat lanoitidda on tnecrep naeM tnecrep naideM rebmuN yap ohw slaudividnI 5302 ni emitefiL riehT revO sexaT lanoitiddA oN yaP ohW slaudividnI rof stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 19 elbaT ¡ ¡ ¢ ¢ ¡ ¢ ¢ ¢ 8 1 038,1 cinapsiH 4 2 855,1 naisA a a a naciremA evitaN 6 1 499 cinapsiH-non kcalB 5 2 605,31 cinapsiH-non etihW yticinhtE 6 2 346,01 elaM 5 1 313,7 elameF redneG 5 2 659,71 llA stifeneb ni egnahc stifeneb ni egnahc )s000( sexat lanoitidda tnecrep naeM tnecrep naideM rebmuN yap ohw slaudividnI 5302 ni emitefiL riehT revO sexaT lanoitiddA yaP ohW slaudividnI rof stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .29 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 1 0 180,8 elitniuq tsehgiH 1 0 362,11 elitniuq htruoF 0 0 850,31 elitniuq drihT 0 0 493,41 elitniuq dnoceS 0 0 016,51 elitniuq tsewoL elitniuQ emocnI 0 0 079,21 ylno ytilibasiD 0 0 464,11 rovivruS 2 0 977,6 esuopS 0 0 391,13 ylno rekrow deriteR waL tnerruC - epyT tifeneB 0 0 908,7 deirram reveN 1 0 112,9 decroviD 0 0 400,51 dewodiW 0 0 283,03 deirraM sutatS latiraM stifeneb ni egnahc stifeneb ni egnahc )s000( sexat lanoitidda on tnecrep naeM tnecrep naideM rebmuN yap ohw slaudividnI ¢ ¢ .ezis elpmas tneiciffusni ot eud detneserp ton rebmuN .a .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 8 2 399,7 elitniuq tsehgiH 5 1 118,4 elitniuq htruoF 2 1 310,3 elitniuq drihT 2 1 976,1 elitniuq dnoceS 2 1 164 elitniuq tsewoL elitniuQ emocnI 5 1 731,2 ylno ytilibasiD 2 0 576 rovivruS a a a esuopS 6 2 280,51 ylno rekrow deriteR waL tnerruC - epyT tifeneB 4 2 339,1 deirram reveN 5 2 875,2 decroviD 6 1 408,2 dewodiW 5 2 146,01 deirraM sutatS latiraM 2 1 491 +68 2 1 172,1 58-18 3 1 179,2 08-67 3 1 863,4 57-17 4 2 654,4 07-76 21 2 108,3 66-26 5 2 698 regnuoY ro 16 egA 6 2 532,11 rehgih ro etaudarg egelloC 3 1 794,3 egelloc emoS 4 1 486,2 etaudarg loohcs hgiH 5 2 145 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE stifeneb ni egnahc stifeneb ni egnahc )s000( sexat lanoitidda tnecrep naeM tnecrep naideM rebmuN yap ohw slaudividnI ¢ ¢ 1 0 701,51 ylno ytilibasiD 0 0 931,21 rovivruS 2 0 248,6 esuopS 2 0 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB elpmiS 1 0 247,9 deirram reveN 2 0 987,11 decroviD 1 0 808,71 dewodiW 2 0 320,14 deirraM sutatS latiraM 0 0 382,6 +68 0 0 171,9 58-18 1 0 979,31 08-67 1 0 448,61 57-17 2 0 855,41 07-76 4 0 888,31 66-26 1 0 936,5 regnuoY ro 16 egA 3 0 350,52 etaudarg egelloC 1 0 525,81 egelloc emoS 1 0 352,72 etaudarg loohcs hgiH 0 0 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 1 0 588,11 cinapsiH 1 0 453,5 naisA 1 0 314 naciremA evitaN 1 0 461 cinapsiH-non kcalB 2 0 712,45 cinapsiH-non etihW yticinhtE 2 0 667,63 elaM 1 0 695,34 elameF redneG 1 0 263,08 llA stifeneb ni egnahc stifeneb ni egnahc )s000( noitalupop latoT tnecrep naeM tnecrep naideM rebmuN 5302 ni noitalupoP latoT eht rof stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 39 elbaT ¢ ¢ .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 67 796 432,1 640,61 303,26 8 )s000( rebmun latoT 001 0 1 2 22 57 0 elaM 001 0 1 1 81 08 0 elameF %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni redneG yb noitalupoP latoT eht rof stifeneB ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .59 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 67 %001 naht eroM 001 782,08 1 796 %001 ot %02 99 095,97 2 432,1 %91 ot %01 89 653,87 02 640,61 %01 ot pU 87 013,26 87 303,26 egnahc oN 0 8 0 8 %01- ot pU tnecreP )s000( )s000( evitalumuC rebmuN tnecreP rebmuN yrogetaC stifeneB ni egnahC egatnecreP evitalumuC 5302 ni tcapmI yb noitalupoP latoT eht rof stifeneB ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .49 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 4 0 370,61 elitniuq tsehgiH 2 0 370,61 elitniuq htruoF 1 0 170,61 elitniuq drihT 0 0 370,61 elitniuq dnoceS 0 0 170,61 elitniuq tsewoL waL tnerruC - elitniuQ emocnI stifeneb ni egnahc stifeneb ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN noitalupop latoT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 67 796 432,1 640,61 303,26 8 )s000( rebmun latoT 001 0 2 3 83 75 0 rehgih ro etaudarg egelloC 001 0 1 1 61 28 0 egelloc emoS 001 0 0 1 01 98 0 etaudarg loohcs hgiH 001 0 1 0 7 29 0 loohcs hgih etaudarg ton diD %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni leveL noitacudE yb noitalupoP latoT eht rof stifeneB ni egnahC egatnecreP fo noitubirtsiD :noitalupoP latoT eht fo sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .79 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 67 796 432,1 640,61 303,26 8 )s000( rebmun latoT 001 0 1 1 41 48 0 cinapsiH 001 0 1 3 52 27 0 naisA 001 0 2 2 41 28 0 naciremA evitaN 001 0 0 0 01 98 0 cinapsiH -non kcalB 001 0 1 2 22 57 0 cinapsiH -non etihW %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni yticinhtE yb noitalupoP latoT eht rof stifeneB ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 69 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 67 796 432,1 640,61 303,26 8 )s000( rebmun latoT 001 0 1 1 51 48 0 deirram reveN 001 0 1 1 91 97 0 decroviD 001 0 1 1 61 28 0 dewodiW 001 0 1 2 32 47 0 deirraM %001 %001 %91 %01 egnahc %01- tnecrep naht eroM ot %02 ot %01 ot pU oN ot pU latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni sutatS latiraM yb noitalupoP latoT eht rof stifeneB ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .99 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 67 796 432,1 640,61 303,26 8 )s000( rebmun latoT 001 0 0 0 3 79 0 +68 001 0 0 0 31 68 0 58-18 001 0 1 1 02 87 0 08-67 001 0 1 2 42 37 0 57-17 001 0 1 2 72 07 0 07-76 001 0 2 3 32 27 0 66-26 001 0 1 1 21 68 0 regnuoY ro 16 %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni egA yb noitalupoP latoT eht rof stifeneB ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 89 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 67 796 432,1 640,61 303,26 8 )s000( rebmun latoT 001 0 3 5 24 05 0 elitniuQ tsehgiH 001 0 1 2 72 07 0 elitniuQ htruoF 001 0 0 1 81 18 0 elitniuQ drihT 001 0 0 1 01 09 0 elitniuQ dnoceS 001 0 0 0 3 79 0 elitniuQ tsewoL %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitalupoP latoT eht rof stifeneB ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .101 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 67 796 432,1 640,61 303,26 8 )s000( rebmun latoT 001 0 0 1 01 98 0 ylno ytilibasiD 001 0 0 1 11 88 0 rovivruS 001 0 1 3 03 56 0 esuopS 001 0 1 2 42 37 0 ylno rekrow deriteR %001 %001 %91 %01 egnahc %01- tnecrep naht eroM ot %02 ot %01 ot pU oN ot pU latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni epyT tifeneB yb noitalupoP latoT eht rof stifeneB ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 001 elbaT ¢ ¢ 0 0 079,21 ylno ytilibasiD 0 0 528,01 rovivruS 0 0 619,5 esuopS 0 0 391,13 ylno rekrow deriteR waL tnerruC - epyT tifeneB 0 0 908,7 deirram reveN 0 0 030,9 decroviD 0 0 264,41 dewodiW 0 0 206,92 deirraM sutatS latiraM 0 0 061,01 +1791 0 0 695,41 0791-5691 0 0 000,12 4691-6591 0 0 138,21 5591-6491 0 0 825,1 5491-2491 0 0 557 1491-1391 a a a 0391 =< raeY htriB 0 0 799,21 rehgih ro etaudarg egelloC 0 0 707,41 egelloc emoS 0 0 092,42 etaudarg loohcs hgiH 0 0 909,8 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 0 0 378,9 cinapsiH 0 0 627,3 naisA 0 0 043 naciremA evitaN 0 0 343,7 cinapsiH-non kcalB 0 0 126,93 cinapsiH-non etihW yticinhtE 0 0 955,52 elaM 0 0 443,53 elameF redneG 0 0 309,06 llA sexat ni egnahc sexat ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda on yap ohw slaudividnI 5302 ni emitefiL rieht revO sexaT lanoitiddA oN yaP ohW slaudividnI rof diaP sexaT ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 201 elbaT ¢ ¢ 7 3 268,6 4691-6591 5 2 129,1 5591-6491 a a a 5491-2491 a a a 1491-1391 raeY htriB 9 4 532,11 rehgih ro etaudarg egelloC 5 2 794,3 egelloc emoS 7 2 486,2 etaudarg loohcs hgiH 21 3 145 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 7 3 038,1 cinapsiH 7 4 855,1 naisA a a a naciremA evitaN 7 2 499 cinapsiH-non kcalB 8 3 605,31 cinapsiH-non etihW yticinhtE 8 3 346,01 elaM 8 3 313,7 elameF redneG 8 3 659,71 llA sexat ni egnahc sexat ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda yap ohw slaudividnI 5302 ni emitefiL rieht revO sexaT lanoitiddA yaP ohW slaudividnI rof diaP sexaT ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .301 elbaT .ezis elpmas tneiciffusni ot eud detneserp ton rebmuN .a .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 0 0 836,7 elitniuq tsehgiH 0 0 329,01 elitniuq htruoF 0 0 677,21 elitniuq drihT 0 0 531,41 elitniuq dnoceS 0 0 234,51 elitniuq tsewoL elitniuQ emocnI sexat ni egnahc sexat ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda on yap ohw slaudividnI ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 3051 = )s000( gnissiM rebmuN 001 958,87 0 451 %001 naht eroM 001 607,87 2 642,1 %001 ot %02 89 064,77 3 199,1 %91 ot %01 69 964,57 61 428,21 %01 ot pU 97 546,26 97 546,26 egnahc oN tnecreP )s000( )s000( evitalumuC rebmuN tnecreP rebmuN yrogetaC sexaT ni egnahC egatnecreP evitalumuC 5302 ni noitalupoP latoT eht rof diaP sexaT ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .401 elbaT .ezis elpmas tneiciffusni ot eud detneserp ton rebmuN .a .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 11 4 399,7 elitniuq tsehgiH 7 3 118,4 elitniuq htruoF 5 2 310,3 elitniuq drihT 5 2 976,1 elitniuq dnoceS 5 2 164 elitniuq tsewoL waL tnerruC - elitniuQ emocnI 01 3 731,2 ylno ytilibasiD 5 2 576 rovivruS a a a esuopS 8 3 280,51 ylno rekrow deriteR waL tnerruC - epyT tifeneB elpmiS 9 3 339,1 deirram reveN 9 3 875,2 decroviD 7 3 408,2 dewodiW 8 3 146,01 deirraM sutatS latiraM 11 4 708,2 +1791 9 4 643,6 0791-5691 sexat ni egnahc sexat ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda yap ohw slaudividnI ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 3051 = )s000( gnissiM rebmuN 068,87 451 642,1 199,1 428,21 546,26 )s000( rebmun latoT 001 0 1 1 21 68 cinapsiH 001 0 3 4 02 37 naisA 001 0 3 2 01 58 naciremA evitaN 001 0 1 1 9 09 cinapsiH-non kcalB 001 0 2 3 81 77 cinapsiH-non etihW %001 ot %02 %91 ot %01 %01 ot pU egnahc oN %01- ot pU tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni yticinhtE yb noitalupoP latoT eht rof diaP sexaT ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .601 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 3051 = )s000( gnissiM rebmuN 068,87 451 642,1 199,1 428,21 546,26 )s000( rebmun latoT 001 0 2 4 02 37 elaM 001 0 1 1 31 58 elameF %001 ot %02 %91 ot %01 %01 ot pU egnahc oN %01- ot pU tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni redneG yb noitalupoP latoT eht rof diaP sexaT ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 501 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 3051 = )s000( gnissiM rebmuN 068,87 451 642,1 199,1 428,21 546,26 )s000( rebmun latoT 001 0 0 0 3 79 +68 001 0 1 1 11 88 58-18 001 0 1 2 71 08 08-67 001 0 2 3 91 67 57-17 001 0 3 4 12 27 07-76 001 0 2 3 91 57 66-26 001 0 1 2 11 58 regnuoY ro 16 %001 ot %02 %91 ot %01 %01 ot pU egnahc oN %01- ot pU tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni egA yb noitalupoP latoT eht rof diaP sexaT ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .801 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 3051 = )s000( gnissiM rebmuN 068,87 451 642,1 199,1 428,21 546,26 )s000( rebmun latoT 001 0 4 7 23 75 rehgih ro etaudarg egelloC 001 0 1 1 51 48 egelloc emoS 001 0 1 0 7 29 etaudarg loohcs hgiH 001 0 1 0 4 59 loohcs hgih etaudarg ton diD %001 %91 %01 egnahc %01- ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni leveL noitacudE yb noitalupoP latoT eht rof diaP sexaT ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 701 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 451 642,1 199,1 428,21 546,26 )s000( rebmun latoT 001 0 1 2 01 78 ylno ytilibasiD 001 0 0 0 4 59 rovivruS 001 0 0 0 0 99 esuopS 001 0 2 4 32 17 ylno rekrow deriteR %001 ot %02 %91 ot %01 %01 ot pU egnahc oN %01- ot pU tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni epyT tifeneB yb noitalupoP latoT eht rof diaP sexaT ni egnahC egatnecreP fo noitubirtsiD :gninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI .011 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 451 642,1 199,1 428,21 546,26 )s000( rebmun latoT 001 0 1 2 51 28 deirram reveN 001 0 1 3 61 08 decroviD 001 0 1 1 21 58 dewodiW 001 0 2 3 91 67 deirraM %001 ot %02 %91 ot %01 %01 ot pU egnahc oN %01- ot pU tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni sutatS latiraM noitalupoP latoT eht rof diaP sexaT ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 901 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 451 642,1 199,1 428,21 546,26 )s000( rebmun latoT 001 1 5 7 53 35 elitniuq tsehgiH 001 0 2 3 32 37 elitniuq htruoF 001 0 1 2 51 38 elitniuq drihT 001 0 0 1 8 19 elitniuq dnoceS 001 0 0 0 2 89 elitniuq tsewoL %001 ot %02 %91 ot %01 %01 ot pU egnahc oN %01- ot pU tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitalupoP latoT eht rof diaP sexaT ni egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC llA xaT ot esaB sgninraE elbaxaT eht esaercnI . 111 elbaT ¢ ¢ 0 0 400,51 dewodiW 0 0 283,03 deirraM sutatS latiraM 0 0 090,6 +68 0 0 009,7 58-18 0 0 900,11 08-67 0 0 674,21 57-17 0 0 201,01 07-76 0 0 780,01 66-26 0 0 347,4 regnuoY ro 16 egA 1 0 818,31 rehgih ro etaudarg egelloC 0 0 920,51 egelloc emoS 0 0 075,42 etaudarg loohcs hgiH 0 0 099,8 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 0 0 450,01 cinapsiH 0 0 697,3 naisA 0 0 543 naciremA evitaN 0 0 994,7 cinapsiH-non kcalB 0 0 117,04 cinapsiH-non etihW yticinhtE 0 0 321,62 elaM 0 0 382,63 elameF redneG 0 0 604,26 llA stifeneb ni egnahc stifeneb ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda on yap ohw slaudividnI 5302 ni emitefiL rieht revO sexa lanoitiddA oN yaP T ohW slaudividnI rof stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI . 211 elbaT ¡ ¢ ¢ ¡ ¢ ¢ ¢ 5 2 532,11 rehgih ro etaudarg egelloC 2 1 794,3 egelloc emoS 2 1 486,2 etaudarg loohcs hgiH 4 2 145 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 6 1 038,1 cinapsiH 3 2 855,1 naisA a a a naciremA evitaN 4 1 499 cinapsiH-non kcalB 4 2 605,31 cinapsiH-non etihW yticinhtE 5 2 346,01 elaM 3 1 313,7 elameF redneG 4 2 659,71 llA stifeneb ni egnahc stifeneb ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda yap ohw slaudividnI 5302 ni emitefiL riehT revO sexa lanoitiddA yaP T ohW slaudividnI rof stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI .311 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 1 0 180,8 elitniuq tsehgiH 0 0 362,11 elitniuq htruoF 0 0 850,31 elitniuq drihT 0 0 493,41 elitniuq dnoceS 0 0 016,51 elitniuq tsewoL elitniuQ emocnI 0 0 079,21 ylno ytilibasiD 0 0 464,11 rovivruS 1 0 977,6 esuopS 0 0 391,13 ylno rekrow deriteR waL tnerruC - epyT tifeneB 0 0 908,7 deirram reveN 0 0 112,9 decroviD stifeneb ni egnahc stifeneb ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda on yap ohw slaudividnI ¢ ¢ .ezis elpmas tneiciffusni ot eud detneserp ton rebmuN .a .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 6 2 399,7 elitniuq tsehgiH 4 1 118,4 elitniuq htruoF 2 1 310,3 elitniuq drihT 2 1 976,1 elitniuq dnoceS 2 1 164 elitniuq tsewoL elitniuQ emocnI 3 1 731,2 ylno ytilibasiD 2 0 576 rovivruS a a a esuopS 4 2 280,51 ylno rekrow deriteR waL tnerruC - epyT tifeneB 3 2 339,1 deirram reveN 4 1 875,2 decroviD 4 1 408,2 dewodiW 4 2 146,01 deirraM sutatS latiraM 1 1 491 +68 2 1 172,1 58-18 2 1 179,2 08-67 3 1 863,4 57-17 3 2 654,4 07-76 9 2 108,3 66-26 4 2 698 regnuoy ro 16 egA stifeneb ni egnahc stifeneb ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda yap ohw slaudividnI ¢ ¢ 0 0 701,51 ylno ytilibasiD 0 0 931,21 rovivruS 1 0 248,6 esuopS 1 0 472,64 ylno rekrow deriteR waL tnerruC - epyT tifeneB elpmiS 1 0 247,9 deirram reveN 1 0 987,11 decroviD 1 0 808,71 dewodiW 1 0 320,14 deirraM sutatS latiraM 0 0 382,6 +68 0 0 171,9 58-18 1 0 979,31 08-67 1 0 448,61 57-17 1 0 855,41 07-76 3 0 888,31 66-26 1 0 936,5 regnuoy ro 16 egA 3 0 350,52 rehgih ro etaudarg egelloC 1 0 525,81 egelloc emoS 0 0 352,72 etaudarg loohcs hgiH 0 0 135,9 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 1 0 588,11 cinapsiH 1 0 453,5 naisA 1 0 314 naciremA evitaN 1 0 494,8 cinapsiH-non kcalB 1 0 712,45 cinapsiH-non etihW yticinhtE 1 0 667,63 elaM 1 0 695,34 elameF redneG 1 0 263,08 llA stifeneb ni egnahc stifeneb ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN noitalupop latoT 5302 ni noitalupoP latoTrof stifeneB ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI . 411 elbaT ¢ ¢ .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 33 053 750,1 295,61 323,26 8 )s000( rebmun latoT 001 0 1 2 32 57 0 elaM 001 0 0 1 91 08 0 elameF %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni redneG yb noitalupoP lato eht rof stifeneB egnahC egatnecreP fo noitubirtsiD T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .611 elba T T T .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 001 263,08 0 33 %001 naht eroM 001 033,08 0 053 %001 ot %02 001 089,97 1 750,1 %91 ot %01 89 229,87 12 295,61 %01 ot pU 87 033,26 87 323,26 egnahc oN 0 8 0 8 %01- ot pU tnecrep )s000( )s000( evitalumuC rebmun tnecreP rebmuN yrogetaC stifeneB ni egnahC egatnecreP evitalumuC 5302 ni tcapmI yb noitalupoP latoT eht rof stifeneB egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI .511 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 3 0 370,61 elitniuq tsehgiH 1 0 370,61 elitniuq htruoF 1 0 170,61 elitniuq drihT 0 0 370,61 elitniuq dnoceS 0 0 170,61 elitniuq tsewoL waL tnerruC - elitniuQ emocnI stifeneb ni egnahc stifeneb ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN noitalupop latoT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 33 053 750,1 295,61 323,26 8 )s000( rebmun latoT 001 0 1 3 93 75 0 rehgih ro etaudarg egelloC 001 0 0 1 71 28 0 egelloc emoS 001 0 0 1 11 98 0 etaudarg loohcs hgiH 001 0 0 1 7 29 0 loohcs hgih etaudarg ton diD %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni leveL noitacudE yb noitalupoP lato eht rof stifeneB egnahC egatnecreP fo noitubirtsiD T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .811 elba T T T .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 33 053 750,1 295,61 323,26 8 )s000( rebmun latoT 001 0 0 1 51 48 0 cinapsiH 001 0 0 2 62 27 0 naisA 001 0 0 3 51 28 0 naciremA evitaN 001 0 0 0 01 98 0 cinapsiH -non kcalB 001 0 0 1 32 57 0 cinapsiH -non etihW %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni yticinhtE yb noitalupoP lato eht rof stifeneB egnahC egatnecreP fo noitubirtsiD T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .711 elba T T T .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 33 053 750,1 295,61 323,26 8 )s000( rebmun latoT 001 0 0 1 51 48 0 deirram reveN 001 0 1 1 91 97 0 decroviD 001 0 0 1 71 28 0 dewodiW 001 0 0 2 42 47 0 deirraM %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni sutatS latiraM yb noitalupoP lato eht rof stifeneB egnahC egatnecreP fo noitubirtsiD T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .021 elba T T T .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 33 053 750,1 295,61 323,26 8 )s000( rebmun latoT 001 0 0 0 3 79 0 +68 001 0 0 0 31 68 0 58-18 001 0 0 1 12 87 0 08-67 001 0 0 1 52 37 0 57-17 001 0 1 2 82 07 0 07-76 001 0 1 3 42 27 0 66-26 001 0 0 1 21 68 0 regnuoy ro 16 %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni egA yb noitalupoP latoT eht rof stifeneB egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI . 911 elbaT ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 33 053 750,1 295,61 323,26 8 )s000( rebmun latoT 001 0 2 4 44 05 0 elitniuq tsehgiH 001 0 0 1 82 07 0 elitniuq htruoF 001 0 0 0 81 18 0 elitniuq drihT 001 0 0 0 01 09 0 elitniuq dnoceS 001 0 0 0 3 79 0 elitniuq tsewoL %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitalupoP latoT eht rof stifeneB egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI .221 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 263,08 33 053 750,1 295,61 323,26 8 )s000( rebmun latoT 001 0 0 1 01 98 0 ylno ytilibasiD 001 0 0 0 21 88 0 rovivruS 001 0 1 2 23 56 0 esuopS 001 0 1 2 52 37 0 ylno rekrow deriteR %001 %001 %91 %01 egnahc %01- naht eroM ot %02 ot %01 ot pU oN ot pU tnecrep latoT yrogetaC stifeneB ni egnahC egatnecreP 5302 ni epy tifeneB yb noitalupoP lato eht rof stifeneB egnahC egatnecreP fo noitubirtsiD T T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .121 elba T T T ¢ ¢ 0 0 079,21 ylno ytilibasiD 0 0 528,01 rovivruS 0 0 619,5 esuopS 0 0 391,13 ylno rekrow deriteR waL tnerruC - epyT tifeneB 0 0 908,7 deirram reveN 0 0 030,9 decroviD 0 0 264,41 dewodiW 0 0 206,92 deirraM sutatS latiraM 0 0 061,01 +1791 0 0 695,41 0791-5691 0 0 000,12 4691-6591 0 0 138,21 5591-6491 0 0 825,1 5491-2491 0 0 557 1491-1391 a a a 0391 =< raeY htriB 0 0 799,21 rehgih ro etaudarg egelloC 0 0 707,41 egelloc emoS 0 0 092,42 etaudarg loohcs hgiH 0 0 909,8 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 0 0 378,9 cinapsiH 0 0 627,3 naisA 0 0 043 naciremA evitaN 0 0 343,7 cinapsiH-non kcalB 0 0 126,93 cinapsiH-non etihW yticinhtE 0 0 955,52 elaM 0 0 443,53 elameF redneG 0 0 309,06 llA sexat ni egnahc sexat ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda on yap ohw slaudividnI 5302 ni emitefiL riehT revO sexa lanoitiddA oN yaP T ohW slaudividnI rof diaP sexaT ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI . 321 elbaT ¢ ¢ 5 3 268,6 4691-6591 4 2 129,1 5591-6491 a a a 5491-2491 a a a 1491-1391 raeY htriB 7 4 532,11 rehgih ro etaudarg egelloC 4 2 794,3 egelloc emoS 5 2 486,2 etaudarg loohcs hgiH 8 3 145 loohcs hgih etaudarg ton diD )detelpmoc level tsehgih( leveL noitacudE 6 3 038,1 cinapsiH 6 4 855,1 naisA a a a naciremA evitaN 5 2 499 cinapsiH-non kcalB 6 3 605,31 cinapsiH-non etihW yticinhtE 6 3 346,01 elaM 6 3 313,7 elameF redneG 6 3 659,71 llA sexat ni egnahc sexat ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda yap ohw slaudividnI 5302 ni emitefiL riehT revO sexaT lanoitiddA yaP ohW slaudividnI rof diaP sexaT ni egnahC egatnecreP naideM dna naeM fo yrammuS :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI .421 elbaT .ezis elpmas tneiciffusni ot eud detneserp ton rebmuN .a .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 0 0 836,7 elitniuq tsehgiH 0 0 329,01 elitniuq htruoF 0 0 677,21 elitniuq drihT 0 0 531,41 elitniuq dnoceS 0 0 234,51 elitniuq tsewoL elitniuQ emocnI sexat ni egnahc sexat ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda on yap ohw slaudividnI ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 001 958,87 1 400,1 erom ro %02 99 558,77 3 240,2 %02 ot %01 69 318,57 71 861,31 %01 ot pU 97 546,26 97 546,26 egnahc oN tnecrep )s000( )s000( evitalumuC rebmun tnecreP rebmuN evitalumuC 5302 ni tcapmI yb noitalupoP latoT eht rof diaP sexaT egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI .521 elbaT .ezis elpmas tneiciffusni ot eud detneserp ton rebmuN .a .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 7 4 399,7 elitniuq tsehgiH 5 3 118,4 elitniuq htruoF 4 2 310,3 elitniuq drihT 4 2 976,1 elitniuq dnoceS 5 2 164 elitniuq tsewoL waL tnerruC - elitniuQ emocnI 7 3 731,2 ylno ytilibasiD 4 2 576 rovivruS a a a esuopS 6 3 280,51 ylno rekrow deriteR waL tnerruC - epyT tifeneB elpmiS 6 3 867 deirram reveN 6 3 420,1 decroviD 5 3 411,1 dewodiW 6 3 722,4 deirraM sutatS latiraM 7 4 708,2 +1791 7 4 643,6 0791-5691 sexat ni egnahc sexat ni egnahc )s000( tnecrep naeM tnecrep naideM rebmuN sexat lanoitidda yap ohw slaudividnI ¢ ¢ 001 1 1 51 48 egelloc emoS 001 1 0 7 29 etaudarg loohcs hgiH 001 1 0 4 59 loohcs hgih etaudarg ton diD erom ro %02 %02 ot %01 %01 ot pU egnahc oN tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni leveL noitacudE yb noitalupoP lato eht rof diaP sexa egnahC egatnecreP fo noitubirtsiD T T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .821 elba T T T .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 400,1 240,2 861,31 546,26 )s000( rebmun latoT 001 1 1 21 68 cinapsiH 001 2 4 12 37 naisA 001 2 2 01 58 naciremA evitaN 001 1 1 9 09 cinapsiH-non kcalB 001 1 3 91 77 cinapsiH-non etihW erom ro %02 %02 ot %01 %01 ot pU egnahc oN tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni yticinhtE yb noitalupoP lato eht rof diaP sexa egnahC egatnecreP fo noitubirtsiD T T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .721 elba T T T .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 400,1 240,2 861,31 546,26 )s000( rebmun latoT 001 2 4 12 37 elaM 001 1 2 31 58 elameF erom ro %02 %02 ot %01 %01 ot pU egnahc oN tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni redneG yb noitalupoP lato eht rof diaP sexa egnahC egatnecreP fo noitubirtsiD T T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .621 elba T T T ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 400,1 240,2 861,31 546,26 )s000( rebmun latoT 001 0 0 3 79 +68 001 0 1 11 88 58-18 001 1 2 71 08 08-67 001 1 3 02 67 57-17 001 2 4 22 27 07-76 001 2 4 91 57 66-26 001 1 2 11 58 regnuoy ro 16 erom ro %02 %02 ot %01 %01 ot pU egnahc oN tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni egA yb noitalupoP latoT eht rof diaP sexaT egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI . 921 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 400,1 240,2 861,31 546,26 )s000( rebmun latoT 001 3 7 43 75 rehgih ro etaudarg egelloC erom ro %02 %02 ot %01 %01 ot pU egnahc oN tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP ¢ ¢ 001 1 2 51 38 elitniuq drihT 001 0 1 8 19 elitniuq dnoceS 001 0 0 2 89 elitniuq tsewoL erom ro %02 %02 ot %01 %01 ot pU egnahc oN tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni elitniuQ emocnI yb noitalupoP latoT eht rof diaP sexaT egnahC egatnecreP fo noitubirtsiD :sgninraE derevoC fo %09 xaT ot esaB sgninraE elbaxaT eht esaercnI .231 elbaT .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 400,1 240,2 861,31 546,26 )s000( rebmun latoT 001 1 2 01 78 ylno ytilibasiD 001 0 0 5 59 rovivruS 001 0 0 1 99 esuopS 001 2 4 42 17 ylno rekrow deriteR erom ro %02 %02 ot %01 %01 ot pU egnahc oN tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni epyT tifeneB yb noitalupoP lato eht rof diaP sexa egnahC egatnecreP fo noitubirtsiD T T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .131 elba T T T .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 400,1 240,2 861,31 546,26 )s000( rebmun latoT 001 1 1 51 28 deirram reveN 001 1 3 61 08 decroviD 001 1 1 21 58 dewodiW 001 2 3 91 67 deirraM erom ro %02 %02 ot %01 %01 ot pU egnahc oN tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP 5302 ni sutatS latiraM yb noitalupoP lato eht rof diaP sexa egnahC egatnecreP fo noitubirtsiD T T :sgninraE derevoC fo %09 xa ot esaB sgninraE elbaxa eht esaercnI .031 elba T T T ¢ ¢ .noitcudortnI troper eht ni "?wohS selbaT eht oD tahW" no noitces eht ees esaelP .elbat morf )gnissim( dedulcni ton era sgninrae tuohtiw slaudividnI .gnidnuor ot eud %001 ot dda ton yam seirogetaC :etoN .ledom noitalumisorcim misanyD s'etutitsnI nabrU eht gnisu snoitaluclac )SRC( ecivreS hcraeseR lanoissergnoC :ecruoS 305,1 = )s000( gnissiM rebmuN 068,87 400,1 240,2 861,31 546,26 )s000( rebmun latoT 001 4 7 63 35 elitniuq tsehgiH 001 1 3 32 37 elitniuq htruoF erom ro %02 %02 ot %01 %01 ot pU egnahc oN tnecrep latoT yrogetaC sexaT ni egnahC egatnecreP ¢ ¢ ¢ ¢ ¡ ¢ The Primary Insurance Amount (PIA) is the basic Social Security monthly benefit amount payable to an individual upon entitlement to retirement benefits at the normal retirement age (i.e., the PIA does not reflect any adjustments for early or delayed retirement) or disability benefits. In addition, the PIA is the base amount used to determine monthly benefits payable to family members on the worker's record (such as a spouse or surviving spouse). Under current law, the PIA is determined by applying a benefit formula to the worker's average lifetime covered earnings. In the first step of the benefit computation, the worker's nominal earnings (up to 2 calendar years prior to the year of eligibility--for example, earnings prior to age 60 in the case of a retirement benefit) are indexed to wage growth to reflect the change in average wages over time. (Earnings in subsequent years are counted at nominal value.) For purposes of computing a basic retirement benefit, the 35 highest years of indexed earnings are then averaged and a monthly amount is computed to determine the worker's Average Indexed Monthly Earnings (AIME). (If a worker has fewer than 35 years of covered earnings, years of "zero" earnings are counted in the computation of the AIME.)7 The benefit formula is then applied to the worker's AIME. The benefit formula that applies to individuals who first become eligible for retirement or disability benefits in 2006, or who die in 2006 before becoming eligible for benefits, is as follows: · 90% of the first $656 of AIME, plus · 32% of AIME over $656 through $3,955, plus · 15% of AIME over $3,955 For example, the PIA for a worker who reaches age 62 in 2006, based on an AIME of $4,500, would be $1,727.80. The PIA would be computed as follows: · 90% x $656 = $590.40, plus · 32%x$3,299 = $1,055.68, plus · 15% x $545 = $81.75 PIA = $1,727.80 (rounded to the next lower 10 cents) The worker's PIA is based on the benefit formula that applies in the year the worker first becomes eligible for benefits (age 62 for retired-worker benefits, the year of disability for disabled-worker benefits, or the year of the worker's death for survivor benefits ), rather than the first year of 7 The number of computation years used to determine the AIME varies, depending on the type of benefit (retirement, survivor or disability). The number of computation years is based on the number of "elapsed years" (i.e., the number of calendar years after 1950 or, if later, attainment of age 21) up to the year the worker attains age 62 (for retirement benefits); the year of death or, if earlier, attainment of age 62 (for survivor benefits); or the year of disability (for disability benefits) minus any "dropout years." The number of dropout years also varies, depending on the type of benefit. For purposes of retirement and survivor benefits, up to 5 dropout years apply. For purposes of disability benefits for workers disabled before age 47, 1 to 4 dropout years apply, depending on the worker's age and the number of dropout years. However, no fewer than 2 computation years may be used for disability benefit calculations. ¢ ¢ benefit receipt. Beginning with the first year of eligibility, the PIA is increased by the annual Social Security cost-of-living adjustment (COLA) for any intervening years between eligibility and benefit receipt. For example, if an individual who first becomes eligible for retired-worker benefits at age 62 in 2006 elects to receive benefits at the normal retirement age (age 66 in 2010), the PIA effective at the normal retirement age would be the PIA calculated using the benefit formula for 2006 (shown above) adjusted annually according to the COLA effective in December 2006, December 2007, December 2008 and December 2009. The dollar amounts that separate the three brackets of AIME in the benefit formula ($656 and $3,955) are referred to as bend points. Under current law, the bend points are indexed to wage growth on an annual basis to provide stable replacement rates over time for workers with similar earnings patterns. (The replacement rate is based on Social Security benefits in the first year of retirement divided by final earnings.) For example, under current law, the benefit formula is designed to provide a replacement rate of approximately 40% for average-wage earners regardless of the year of retirement. The percentages that apply to each of the three brackets of AIME in the benefit formula (90%, 32% and 15%) are referred to as formula factors (or replacement factors). The formula factors, which are fixed under current law, are structured such that Social Security benefits replace a greater share of pre-retirement earnings for lower-wage workers wompared with higher-wage workers. ¢ ¢ ¡ ¢ The current-law Social Security rules regarding spouses and survivors can increase the benefits of some married, widowed, and divorced beneficiaries. When these spouse and survivor rules interact with policy options that reduce Social Security benefits, they can mitigate the effect of benefit reductions, causing smaller reductions than would have been expected under the policy option. ¢ The Social Security rules regarding spouses and aged survivors allow some individuals to receive a benefit when they otherwise would have received none, and allow other individuals to receive a higher benefit than they otherwise would have received. Individuals who do not qualify for a Social Security benefit based on their own work records may qualify for a benefit based on their current or former spouses' work records. Social Security spouse benefits are payable to the spouse or divorced spouse of a retired or disabled worker, based on the worker's earnings record.8 The primary insurance amount (PIA) for a spouse beneficiary is generally 50% of his or her spouse's PIA. Social Security survivor benefits are payable to the survivors of a deceased worker, based on the worker's earnings record. The PIA for an aged widow or widower is 100% of his or her deceased spouse's final benefit amount.9 Individuals who do qualify for Social Security benefits based on their own work records may receive a partial spouse or survivor benefit in addition to their own worker benefit, if the amount of their spouse or survivor benefit would be greater than their worker benefit. These so-called dually entitled beneficiaries receive a total Social Security benefit that is the higher of the worker benefit and the spouse or survivor benefit to which they are entitled, not the sum of the two benefits. Some individuals marry more than once throughout the course of their lives, either because they were divorced or widowed. Some of these individuals may qualify for spouse and/or survivor benefits based on the work records of more than one spouse.10 In such a case, an individual would receive the highest benefit to which he or she is entitled. ¢ When Social Security's spouse and survivor rules interact with policy options that would reduce benefits, they can mitigate the effect of benefit reductions, causing smaller reductions than would have been expected under the policy option. There are two mechanisms that could mitigate the 8 Divorced spouses must have been married to the worker for at least 10 years to qualify for spouse or survivor benefits. 9 Other types of survivor benefits--those for children, mothers or fathers with a child in care, and dependent parents of Social Security beneficiaries--are not analyzed in this report. 10 In some cases, beneficiaries do not qualify for benefits based on a former spouse's work record if they remarry. ¢ ¢ effect of the policy option for a beneficiary: (1) if his or her benefit type changes under the option, or (2) if the spouse on whose work record his or her the benefit is based changes under the option. Some individuals could change benefit types under a policy option because of the spouse and survivor rules, thus mitigating the effect of the option's benefit reduction. For example, consider a couple in which the wife receives a $600 retired worker benefit and the husband receives a $1,100 retired worker benefit under current law. The woman would not qualify for a spouse benefit under current law, since her worker benefit ($600) is greater than 50% of her husband's primary insurance amount (assuming he is not subject to any reductions or credits, this amount would be $550). If the wife is younger than the husband, she would be subject to a greater benefit reduction in 2035 under most of the policy options analyzed in this report. Continuing the example above, let's assume under a policy option that the wife's benefit were reduced by $100 (making her retired worker benefit $500) and the husband's benefit is reduced by $50 (making his retired worker benefit $1,050). As a result, the wife would become dually entitled to receive a partial spouse benefit in addition to her full worker benefit. Her total benefit amount under the option would be equal to 50% of her husband's PIA, or $525 in this case (i.e., $500 in worker benefits and $25 in spouse benefits). Thus, the dual entitlement rule leads the wife to receive a $75 benefit reduction rather than a $100 reduction. Some individuals could receive a spouse or survivor benefit based on a different marriage than under current law as a result of a policy change, thus mitigating the effect of a benefit reduction that would otherwise result from the policy option. For example, consider a woman who divorced after 15 years of marriage, then remarried. Under current law, she receives a spouse benefit of $600. Her spouse benefit is based on her current husband's PIA of $1,200; her former husband's PIA is $1,180. Under the policy option, her current husband's PIA is reduced by $100 (to $1,100), and her former husband's PIA remains at $1,180 since he retired before the policy option was implemented. Under the policy option, she would receive a divorced spouse benefit based on her former husband's work record--rather than her current husband's work record--since the benefit she would receive based on her former husband's record ($590) would be greater than the benefit she would receive based on her current husband's record ($550). Thus, the rule that allows beneficiaries to receive the highest spouse or survivor benefit to which they are entitled means that the wife in this example receives a $10 benefit reduction rather than a $50 benefit reduction. It is important to note that in either scenario--changing benefit type or changing the spouse on which the benefit is based--the affected beneficiary would receive a higher-than-expected benefit under the option due to Social Security's spouse and survivor rules. The reason for this effect is that the Social Security rules always allow beneficiaries to receive a total benefit that is equal to the highest of the various benefits to which they may be entitled. ¢ ¢ ¡ ¢ The current-law Retirement Earnings Test (RET) can affect benefits received before and after the full retirement age (FRA). When the RET provision interacts with policy options that reduce Social Security benefits, it can magnify the size of the benefit reduction received before the FRA and reduce the size of the benefit reduction received after the FRA relative to what is expected under the policy option, or even lead to apparent benefit increases relative to current law. The RET is a current-law provision that reduces the Social Security benefits paid to some individuals who work before their full retirement age (FRA). Specifically, the RET applies to non-DI beneficiaries below the FRA who have earnings from employment in excess of certain thresholds.11 Generally, for workers who fall under the full retirement age for the entire year, the threshold is $12,480 in 2006. For every two dollars in earnings over this threshold, the worker's Social Security benefit is reduced by one dollar. In the year that the worker attains the full retirement age, a higher threshold of $33,240 applies in 2006 for those months worked prior to the full retirement age. For every three dollars in earnings over this threshold, the worker's Social Security benefit is reduced by one dollar. These thresholds rise annually with increases in the national average wage. Monthly benefits are eliminated or reduced until all excess earnings have been offset. The RET does not apply to workers after they attain the full retirement age. seluR noitacilppA tseT sgninraE tnemeriteR .1-C elbaT yraicifeneB ytiruceS laicoS fo egA 6002 ni dlohserhT noitcudeR tifeneB raeY eritnE ARF rednU 084,21$ sgninrae ssecxe fo 2$ yreve rof 1$ ARF eht ot roirP shtnoM rof ,ARF gniniattA fo raeY nI 042,33$ sgninrae ssecxe fo 3$ yreve rof 1$ ARF eht revO dlohserht oN noitcuder oN For example, Joe is 62 and will not reach the full retirement age this year. Thus, Joe could earn up to $12,480 in 2006 without penalty. Joe earns $30,000 this year, so his Social Security benefit would be reduced under the RET. For every two dollars of earnings over the $12,480 threshold, his benefit would be reduced by one dollar. Joe has `excess' earnings of $17,520 in 2006 ($30,000 - $12,480). Thus, the reduction to his Social Security benefit is $8,760 ($17,520 x 0.5) in 2006. Joe's current-law Social Security benefit is $1,500 per month ($18,000 per year) before the RET is applied. Therefore, Joe would lose his Social Security benefit payments for 5 full months and would lose a portion of his benefit for a 6th month ($8,760/$1,500) because of his excess earnings under the RET. After application of the RET, Joe's annual Social Security benefit would be $9,240 ($18,000 - $8,760). 11 The RET does not apply to disabled workers receiving Disability Insurance (DI) benefits because these individuals are subject to their own earnings test, the Substantial Gainful Activity (SGA) test. See CRS Report 98-789, Social Security: Proposed Changes to the Earnings Test, by Debra B. Whitman for additional information on the RET. ¢ ¢ Those individuals who face benefit reductions due to the RET have their benefits increased at the full retirement age. Under current law, workers are only subject to the RET if they have excess earnings, receive non-DI benefits and have not yet reached the full retirement age. When individuals receive non-DI benefits prior to the full retirement age, they are subject to an actuarial benefit reduction, the size of which is dependent on the number of months of benefits the individual is projected to receive benefits before the full retirement age. The greater the number of months of benefit receipt prior to the full retirement age, the greater the actuarial reduction. Those retiring at the earliest eligibility age (60 for survivors benefits, 62 for retirement benefits) face the largest reduction. For every month that an individual's early retirement or early survivor benefit is eliminated as a result of the RET, the actuarial reduction that he or she is subject to goes down as compensation for these lost benefits. When the individual reaches the full retirement age, the actuarial reduction is lowered and the retirement or survivor benefit is adjusted upward to account for the lost months of benefits under the RET. Following on the previous example, if Joe takes Social Security benefits at the earliest eligibility age, 62, his benefits will be 25% lower than if he retired at his FRA of 66.12 If Joe's full retirement benefit (PIA) was $2,000 per month, his monthly benefit after the early retirement reduction would be $1,500 ($2,000 x 0.75). However, if Joe continues working, as described in the previous example, he would lose benefits for over five months out of the year due to the RET. If Joe worked intermittently between age 62 and 66 and the RET ultimately eliminated Joe's benefit for a total of 12 months over this period, essentially, Joe delayed taking up Social Security benefits for an additional year. Therefore, his actuarial reduction for early retirement should be adjusted to reflect his receipt of Social Security benefits for only 36 months prior to his full retirement age instead of 48. Joe's actuarial reduction would be reduced from -25% to -20% at the full retirement age of 66. Thus, at age 66 the RET would increase Joe's monthly benefit from $1,500 to $1,600 ($2,000 x .80) under current-law, about a 7% increase. On an annual basis, the RET would increase Joe's benefit from $18,000 per year to $19,200 per year. ¢ ¡ ¢ The RET can magnify the effect of policy options that reduce benefits relative to current law. Those affected by the RET appear to receive larger benefit reductions than what could be attributed to the policy change alone. The RET calculation is based on a worker's excess earnings. Since earnings are not affected by the policy option, the RET reduction is the same dollar amount under both current law and the policy option. If a policy option reduces Social Security benefits, this smaller Social Security benefit is being reduced by the same dollar amount under the RET as under current law. Therefore, the RET creates a larger percent reduction in benefits than is expected under the policy change. 12 The benefit reduction of 25% is calculated based on the number of months Joe retires before his full retirement age. By retiring at age 62, Joe will collect Social Security benefits for 48 months before his full retirement age of 66. For information on how the actuarial reduction is determined, see Table 2.A17.1 in the Social Security Administration's Annual Statistical Supplement to the Social Security Bulletin, 2005 available at http://www.ssa.gov/policy/docs/ statcomps/supplement/2005/2a8-2a19.html#table2.a17.1. ¢ ¢ Continuing the current-law example, assume that a policy option reduces Joe's initial benefit by 10% (prior to the application of the RET). Thus, his annual benefit prior to the RET is $18,000 and the policy option reduces his benefit by 10% ($1,800) to $16,200. Since Joe's earnings don't change, and he still has excess earnings of $17,520 in 2006, the RET still reduces his annual Social Security benefit by $8,760. So, Joe's final annual benefit (after the policy option and the RET) is $7,440 ($16,200 - $8,760), which is approximately a 20% decrease ($7,440/$9,240) from the current law annual benefit of $9,240 (after the RET). Thus, the interaction of the policy option with the RET program rules is responsible for the larger than expected reduction in Joe's benefit. ¢ Some policy options might reduce the Social Security benefit to a size where the fixed dollar amount of the RET fully eliminates the Social Security benefit for a greater number of months than under current law. Because of the interaction of the policy option with the RET and the actuarial benefit reduction, the ultimate consequence of this benefit elimination is a later increase in benefits relative to current law. When a policy option reduces the size of the Social Security benefit, the unchanging dollar amount of the RET requires more months of benefits to be eliminated than under current law. Thus, at the full retirement age, when the benefits are adjusted upward for this loss, they are increased relative to current law, making some individuals receive benefit increases that would seem to be counterintuitive under a policy change that reduces benefits. For example, if Joe's benefit were reduced relative to current law, let's say that the RET would eliminate his now smaller Social Security benefit for 16 months instead of 12 months during the period he worked between age 62 and 66. Joe's actuarial reduction would be adjusted to reflect his receipt of Social Security benefits for only 32 months prior to his full retirement age instead of 36 months under current law (after the RET). Joe's actuarial reduction would be reduced from -20% to approximately -16.7%. Thus, under the policy option, at age 66 Joe's benefit increases from $1,600 (PIA of $2,000 x 0.80) under current law to $1,666 ( PIA of $2,000 x .83) under the policy option, a benefit increase of 4%. In summary, the RET can either magnify the size of a benefit reduction under a policy change or appear to create a benefit increase relative to current law, depending on whether an individual is below or above the full retirement age. ¢ ¢ ¡ ¡ ¡ The progressive price indexing policy option would constrain the growth of initial benefits for future retirees by using a combination of wage indexing and price indexing in the benefit formula to apply differing degrees of benefit reduction based on the worker's career-average level of earnings. The following section explains the mechanics of the progressive price indexing option examined in this report.13 The basic steps used to calculate initial benefits for future retirees under the progressive price indexing option include: The benefits of low-wage workers would be preserved by establishing a new bend point in the PIA formula, below which initial benefits would continue to be fully wage-indexed. For the option analyzed in this report, the new bend point would be established at the 30th percentile of earnings. This means that workers with career-average earnings in the lowest 30% of the earnings distribution would experience no change in benefits relative to current law. The new bend point would fall between the first and second bend points under current law. The replacement factors for the now four brackets of Average Indexed Monthly Earnings in the benefit formula would be set initially at 90%, 32%, 32% and 15%. The new bend point would increase each year after 2013 by the rate of growth of the national average wage, just as the two current bend points are wage-indexed. All workers with career-average earnings below this new bend point would continue to have their initial benefits fully wage-indexed. Workers with career- average earnings above the new bend point would have their initial benefits reduced because the third and fourth replacement factors (32% and 15%) would be adjusted downward each year (described in Step 3 below). ¢ ¢ ¡ For those who become eligible for retired-worker benefits in 2013 and each year thereafter, calculate a hypothetical fully price-indexed PIA for a worker who had maximum earnings over his/her career and the percentage reduction in benefits between this hypothetical PIA and the current law PIA. SSA would compute the percentage benefit reduction that would apply for a career high-wage earner14 if all three of the current-law PIA factors (90%, 32%, and 15%) were fully price-indexed. For example, if the benefit for a career high-wage earner retiring at the full retirement age in a future year were determined to be, say, $2,800 per month and the percentage changes in prices 13 These steps follow those described in a memorandum from Stephen Goss, Chief Actuary of the Social Security Administration to Robert Pozen dated Feb. 10, 2005. See http://www.ssa.gov/OACT/solvency/RPozen_20050210.pdf. 14 A career high-wage earner is someone who earned at or above the taxable wage base for at least 35 years in their entire career. ¢ ¢ and wages since 2011 were 2.8% and 3.9%, respectively, the benefit for a high-wage earner would be recalculated with each of the three PIA factors multiplied by the ratio 1.028/1.039 or .989.15 Thus, in this example, the benefit of a high-wage earner under full price indexing would be reduced by 1.1% in 2013, the first year that price indexing would be in effect. After ten years--assuming that prices and wages continued to grow annually by 2.8% and 3.9%--the PIA factors would be multiplied by 1.02810/1.03910 = .899, representing a benefit reduction of 10.1%. The third step of the process would be to calculate the percentage reduction only to the PIA factors above the new bend point (32% and 15%) that would result in the same benefit reduction for career-long maximum-wage earners (those always at or above the annual maximum taxable wage) as would have applied to these earners if price indexing had been applied to all workers. This would reduce benefits for career-long maximum-wage earners by the same percentage as they would have been reduced if the benefit formula were fully price-indexed for workers at all earnings levels. Benefits would be reduced by a smaller percentage for workers with career-long average wages and not at all for workers with average wages that fall in the lowest 30% of the earnings distribution. 15 Earnings are indexed to the average wage level two years prior to the worker's first year of eligibility because there is a two-year lag time associated with the release of official wage data for a given year. Thus, if the first year the policy applies is 2013, it would be necessary to obtain the official wage data from 2011. ¢ ¢ ¡ ¢ ¢ The Urban Institute's Dynamic Simulation of Income Model (Dynasim) is a computer model that uses survey data to project demographic changes, retirement income, and Social Security benefits. It was created by the Urban Institute and was purchased by the Congressional Research Service. Dynasim can be used to analyze the consequences of retirement and aging policy issues on individual and family income and benefits. One of the major advantages of using the Dynasim model is the ability to analyze the distributional effects of Social Security proposals. For example, Dynasim can be used: 1) to analyze the difference in benefit levels between a particular Social Security reform proposal and current law; 2) to model the combined effects of multiple and complex policy changes on individual and family benefits and total income; 3) to model the effect of a change in Social Security policy on an individual's eligibility for other means-tested federal programs (e.g. SSI). The effect on individuals and families can be broken down along multiple demographic and economic lines, such as gender, educational attainment, marital status, race, and wealth. ¢ Through statistical adjustments of the data sources listed below, Dynasim projects the major pillars of retirement income. Starting with a representative sample of individuals and nuclear families, the model "ages" the data year by year from 1993 to 2050. Characteristics such as an individual's year of birth, educational attainment, marital status, and race are used to predict future values of variables such as earnings, marital changes, and wealth. For each year, Dynasim simulates such demographic events as births, deaths, marriages and divorces, and such economic events as labor force participation, earnings, hours of work, disability onset, and retirement. The large amount of demographic and income information makes Dynasim particularly suitable to analyze the distributional effects of various Social Security reform proposals and other issues relating to the aged population. For example, retired worker Social Security benefits are based on 35 years of a worker's earning history. Having a tool, such as Dynasim, that contains an individual's earning history as well as the individual's traits over his/her entire career is essential to modeling Social Security reforms. One such policy option that requires 40 years of a worker's earning history is to increase the number of computation years from 35 to 40. In addition to modeling provisions that require long work histories, we can analyze how benefits change due to changes in life events (such as a marital status change or the death of a spouse) over the span of the individual's lifetime. At the end of the simulation process, we have detailed information on the lifetimes of multiple individuals, with all of the information needed to calculate Social Security benefits and total incomes. In addition to workers' earning histories, the Dynasim model includes additional retirement income projections useful for analyzing policy options. These projections include but are not limited to: Social Security coverage, eligibility and benefit levels, pension coverage and participation, income from assets, and Supplemental Security Income (SSI). ¢ ¢ ¢ The Dynasim model was created using a complex combination of various data resources. The base population is comprised of households from the 1990 through 1993 panels of the Survey of Income and Program Participation (SIPP). This sample consists of over 100,000 people and 44,000 families and is limited to individuals who answered questions regarding assets and pensions.16 Annual earnings are created from a mixture of historical and projected data. Earnings histories are calculated for SIPP respondents by matching individuals from the SIPP to individuals interviewed in the Panel Study of Income Dynamics (PSID) and to individuals interviewed in the 1972 Current Population Survey (CPS). The 1972 Current Population Survey is a unique dataset because it is matched to Social Security Administrative records. The 1972 CPS is matched to the Social Security Administration's Summary of Earnings Records and is used to provide SIPP respondents with earnings between the years 1951 and 1967. The PSID also collects annual earnings information and provides SIPP respondents with earnings between the years 1968 and 1992. Once earnings are imputed for the years 1968 through 1992, earnings are then projected for the years 1993 through 2050. Dynasim uses information from the Panel Study of Income Dynamics and the National Longitudinal Survey of Youth to project individual earnings from 1993 through 2050 using a series of statistical regression equations. The earnings are projected in 5 steps. First, hourly wages are estimated using a random-effects model. Second, results from the hourly wage model are used to calculate predicted wages for all individuals in the PSID. Third, the number of annual hours worked is predicted using a tobit model that includes the predicted wage results from the previous regression. In the fourth step, labor force participation is estimated using a random-effect probit model. Finally, the labor force participation rates are adjusted to reflect projected employment rates from the OASDI Trustees' Report by age and gender. The model utilizes survey data to estimate population growth, family formation, education and health, earnings, employee benefits, asset accumulation, pension and Social Security benefits, and payroll taxes. Some of the survey data used to estimate these processes include the Survey of Income and Program Participation, the Panel Study of Income Dynamics, the Current Population Survey, the Health and Retirement Survey, the National Longitudinal Mortality Study, the National Longitudinal Survey of Youth, estimates from the Social Security Administration's Office of the Chief Actuary, Vital Statistics, the Pension Simulation Model from the Policy Simulation Group, and the Pension Insurance Modeling System from the Pension Benefit Guaranty Corporation. All of these data sources are used to validate and readjust the underlying data for the Dynasim model as necessary. ¢ Despite the many advantages of using a microsimulation model, such as Dynasim, one must keep in mind the caveats that are common to the use of microsimulation models, in general. Such caveats include, but are not limited to: 1. Microsimulation models require the use of a large number of assumptions. For example, Dynasim utilizes assumptions from the Social Security Administration's Office of the Chief Actuary (OCACT) to determine future fertility and mortality patterns and to project 16 The questions regarding assets and pensions can be found in the SIPP long asset/pension topical module wave. ¢ ¢ employment rates and wage growth. Individuals who believe that OCACT's fertility and mortality assumptions are too optimistic or pessimistic will also have the same views of Dynasim's fertility and mortality assumptions. In addition, Dynasim models mortality using an individual's age, race/ethnicity, marital status, education, disability status and work history. There may be other variables that affect mortality that are not used in this model. 2. Like all projections, historical information is used to calculate future information for individuals such as future earnings, future marital status changes, future pensions, etc. There may be historical information, however, that will not provide good estimates of future values. For example, 40 years ago, it could not have been foreseen how technological advancements would have altered mortality and earnings. Similarly, future technology and medical advancements will have an effect on the population that can not currently be predicted. A model, such as Dynasim, would not be able to factor in these kinds of advancements unless they are already, somehow, accounted for in historical information. Put another way, the model assumes that the future will resemble the past. The model often uses a variety of techniques (e.g., cohort effects) to place heavier weight on more recent experience than on less recent experience. The model projects social and economic change mainly through change in the composition of the population. 3. Microsimulation models require many assumptions and utilize many specific mathematical equations. Therefore, care should be taken when interpreting results. For example, because of their detailed assumptions, microsimulation models better represent relative changes in benefits rather than exact benefit levels. All microsimulation models are estimates of what a given population will look like in the future. Because they are estimates, all microsimulation models contain some level of error. By analyzing relative differences, rather than point estimates such as average benefits, some of the error is controlled for because the underlying error will be the same under both options. Thus, microsimulation models will be more accurate in stating that "Plan A is estimated to result in a 23% increase in benefits over current law" than stating that "Individuals, under Plan A, receive a monthly benefit of $900" because the error found in microsimulation models is difficult to quantify, but can be mitigated by comparing plans across the same population and, in essence, holding the error constant. In addition to the caveats associated with microsimulation models, there are caveats that are specific to the Dynasim model. For example: 1. Dynasim does not model the "old law" Social Security benefit rules in place prior to 1979. Therefore, the benefits for the oldest individuals may not precisely reflect the level of benefits that they actually received. 2. Dynasim does not include behavioral changes resulting from the modification of the Social Security benefit and tax structures. Thus, changes to Social Security's tax or benefit structure will not automatically alter an individual's work patterns or retirement decision. 3. Dynasim does not include macroeconomic feedbacks. A change in the Social Security program can affect other segments of the economy. For example, a benefit cut could have effects on the labor force participation and the savings rate. These kinds of macroeconomic effects cannot automatically be modeled using the Dynasim model. Thus, second order microeconomic effects such as the effect of the savings rate on the interest rate earned by individual accounts cannot be modeled. ¢ ¢ 4. This version of Dynasim does not currently include an income tax module. Because Social Security benefits may be subject to income taxation, reform options that alter the level of Social Security benefits can also alter the amount of income tax paid by individuals. Although income taxes cannot be modeled, the amount of Social security payroll taxes paid can easily be calculated from an individual's earnings. 5. Dynasim is not a Social Security actuarial model and thus cannot estimate the solvency effect of a proposed policy change. The Dynasim model does not contain all of the information required to produce solvency estimates. For example, Dynasim does not calculate children's benefits and so a complete account of benefit payments cannot be calculated. In addition, Dynasim simulates the population between the years 1993 and 2050. The benefits received by individuals outside of this yearly range would not be included in the calculations. For these same reasons, long-term cost estimates cannot be calculated. 6. Dynasim incorporates differences in processes on the basis of race/ethnicity where the data suggest that such differences are significant. The literature is not always definitive on the magnitude of differences by race, and measurement issues can complicate estimation of such effects. We thus suggest conservative interpretation of differences by race and Hispanicity. Despite the caveats related to microeconomic models and specifically to Dynasim, the Urban Institute's Dynamic Simulation Model is an extremely useful tool for analyzing the effects of Social Security reform proposals and other topics related to the aged. The wealth of demographic and economic information found in the Dynasim model enables CRS to provide members of Congress with in-depth analysis regarding the distributional effects of reform proposals that would not be possible without the use of a microsimulation model. esaB tifeneB .esab sgninrae elbaxat eeS dna noitubirtnoC .emas eht yats stifeneb ytiruceS laicoS ,sesaerced W-IPC eht fI .yletanoitroporp esaercni raey txen eht rof stifeneb ytiruceS laicoS ,doirep siht gnirud sesaercni W-IPC eht fI .raey tnerruc eht fo retrauq radnelac driht eht ot raey roirp eht fo retrauq radnelac driht eht morf W-IPC eht ni egnahc eht sa detaluclac si dna raey hcae fo rebmeceD ni evitceffe si )ALOC( tnemtsujda gnivil-fo-tsoc ehT .)W-IPC( xednI ecirP remusnoC eht yb derusaem sa ,)noitalfni ,.e.i( )ALOC( tnemtsujdA gnivil fo tsoc eht ni esaercni eht gnitcelfer stifeneb ytiruceS laicoS ni esaercni launna ehT gniviL-fo-tsoC .stifeneb ot )ALOC( stnemtsujda gnivil-fo-tsoc launna etaluclac ot )W-IPC( srekroW lacirelC dna srenraE egaW nabrU rof xednI ecirP remusnoC eht sesu margorp ytiruceS laicoS ehT .robaL fo tnemtrapeD )IPC( xednI .S.U eht yb detaluclac )secirp ni emit revo egnahc eht ,.e.i( noitalfni fo erusaem laiciffo nA ecirP remusnoC .53 ot 2 morf seirav sraey noitatupmoc fo rebmun eht ;deid ro delbasid emaceb renrae egaw eht nehw ega eht no sdneped sraey noitatupmoc fo rebmun eht ,stifeneb rovivrus dna ytilibasid roF .desu era sgninrae fo sraey 53 tsehgih eht ,stifeneb tnemeriter roF .alumrof tifeneb ytiruceS laicoS eht ni )EMIA( sgninrae ylhtnom dexedni egareva s'rekrow a etaluclac ot desu sgninrae fo sraey ehT sraeY noitatupmoC .emit fo doirep ro raey emas eht ni nrob slaudividni fo puorg a si trohoc htrib a ,elpmaxe roF .emit revo deiduts dna citsiretcarahc ralucitrap a gnirahs slaudividni fo puorg A trohoC .srenrae rehgih od naht ,sgninrae derevoc ot evitaler ,stifeneb rehgih yletanoitroporp eviecer srenrae rewol erehw ,erutcurts tifeneb evissergorp a setaerc alumrof tifeneb ytiruceS laicoS eht ni stniop dneb fo esu ehT .559,3$ dna 656$ erew stniop dneb eht ,6002 nI .segaw gnisaercni tcelfer ot yllaunna detsujda ro ,dexedni egaw era stniop dneb ehT .stifeneb ytiruceS laicoS cisab etaluclac ot desu alumrof )AIP( tnuoma ecnarusni yramirp eht ni stekcarb eht enifed taht stnuoma rallod ehT stnioP dneB .alumrof )AIP( tnuoma ecnarusni yramirp eeS alumroF tifeneB cisaB .)AIP( tnuoma ecnarusni yramirp eeS tnuomA tifeneB cisaB .enilesab deludehcs dna enilesab elbayap ees oslA .derapmoc era seicilop evitanretla suoirav rednu sexat lloryap dna stifeneb ytiruceS laicoS hcihw tsniaga ,sexat lloryap dna stifeneb ytiruceS laicoS wal tnerruc ,troper siht fo txetnoc eht nI enilesaB .margorp ytiruceS laicoS eht ni seulav gnixedni egaw rof desu si IWA ehT .ytiruceS laicoS yb elbaxat ro/dna derevoc ton era taht sgninrae sedulcni )IWA( xednI egaW egarevA ehT .)ASS( noitartsinimdA ytiruceS laicoS eht yb detalubat atad egaw launna )IWA( yb derusaem sa ,0591 retfa raey hcae rof segaw lanoitan latot fo tnuoma egareva ehT xednI egaW egarevA .delbasid emoceb ro eid ohw srekrow fo sEMIA eht etaluclac ot desu eb yam sgninrae fo sraey reweF .21 yb dedivid dna ,degareva ,dexedni egaw era sgninrae elbaxat fo sraey 53 tsehgih eht ,rekrow deriter a rof noitaluclac )EMIA( sgninrae ylhtnom dexedni egareva eht nI .stifeneb ytiruceS laicoS rof seilppa rekrow a nehw )AIP( )EMIA( tnuoma ecnarusni yramirp eht enimreted ot desu dna )segaw gnisaercni tcelfer ot detsujda sgninraE ylhtnoM ro( dexedni egaw si hcihw ,sgninrae elbaxat s'rekrow a fo tnuoma ylhtnom egareva ehT dexednI egarevA .setar tnemecalper dna setar ytrevop edulcni ycauqeda tifeneb fo serusaeM .seiraicifeneb ot emocni fo level cisab emos gnidivorp fo laog eht ,ytiruceS laicoS fo txetnoc eht nI ycauqedA .stifeneb tcelloc ot nageb seiraicifeneb nehw fo sseldrager smret lairautca ni lauqe stifeneb ytiruceS laicoS emitefil ekam ot dednetni erew tiderc tnemeriter deyaled dna noitcuder tnemeriter ylrae eht ,elpmaxe roF .stifeneb pu sekat ehs ro eh nehw fo sseldrager ,ycnatcepxe efil egareva fo nosrep a rof stifeneb ytiruceS laicoS emitefil fo eulav eht tnatsnoc gnidloh ,ytiruceS laicoS fo txetnoc eht nI riaF yllairautcA ¢ ¡ ¢ ¢ .ssecorp snoitairporppa launna eht ot tcejbus ton era smargorp tnemeltitne ,yllareneG ).stifeneb rof noitacilppa na elif dna airetirc ytilibigile teem tsum laudividni na ,stifeneb ytiruceS laicoS ot deltitne eb oT( .wal yb dehsilbatse airetirc ytilibigile eht steem ohw laudividni yna ot stnemyap seriuqer yllagel taht--ytiruceS laicoS gnidulcni--margorp laredef ynA tnemeltitnE .wal yb dehsilbatse airetirc rehto ro/dna ,pihsnoitaler ylimaf ,sutats ytilibasid ,ega teem tsum dna derusni eb tsum )srebmem ylimaf reh ro sih ro( rekrow a ,stifeneb ytiruceS laicoS rof elbigile eb oT ytilibigilE .sgninrae elbaxat dna sgninrae derevoc ees oslA .emocni tnemyolpme-fles ro segaW sgninraE .riaf yllairautca eb ot dednetni si noitcuder tnemeriter ylrae ehT .)ARF eht ni esaercni eht fo esuaceb( nrob saw rekrow eht hcihw ni raey eht no gnidneped ,%03 ot %02 morf segnar noitcuder eht fo tnuoma mumixam ehT .stifeneb pu sekat ehs ro eh taht ARF reh ro sih erofeb gnol woh dna htrib fo etad s'yraicifeneb eht no gnidneped seirav noitcuder eht fo tnuoma ehT .)ARF( ega tnemeriter lluf eht erofeb stifeneb tnemeriter pu gnikat noitcudeR rof decuder yltnenamrep si tifeneb ytiruceS laicoS ylhtnom s'nosrep a hcihw tnuoma ehT tnemeriteR ylraE ).ega ytilibigile ylrae eht dellac oslA( .noitcuder tnemeriter ylrae eht ot tcejbus eb lliw ylrae stifeneb rekrow deriter eviecer ot nigeb ohw slaudividnI .26 si ega tnemeriter ylrae ehT .)ARF( ega tnemeriter lluf eht erofeb stifeneb tcelloc ot esoohc yeht fi stifeneb rekrow deriter ytiruceS laicoS decuder rof yfilauq slaudividni hcihw ta ega ehT egA tnemeriteR ylraE .stifeneb owt eht fo mus eht ton ,deltitne era yeht hcihw ot tifeneb rovivrus/esuops eht dna tifeneb rekrow eht fo rehgih eht si taht tifeneb ytiruceS laicoS latot a eviecer seiraicifeneb deltitne yllauD .)stifeneb rovivrus ro stifeneb esuops ,.e.i( sdrocer krow 'sesuops rieht no desab stifeneb sa llew sa )stifeneb rekrow seiraicifeneB ,.e.i( sdrocer krow nwo rieht no desab stifeneb ytiruceS laicoS rof yfilauq ohw srekroW deltitnE yllauD .)level emocni ro trohoc htrib ,.g.e( spuorgbus tnereffid gnoma detubirtsid sisylanA era noitpo ycilop a ro margorp a fo stifeneb dna stsoc eht woh gnizylana fo dohtem A lanoitubirtsiD .ytilibasid laitrap ro ytilibasid mret-trohs rof elbayap era stifeneb oN .)stifeneb tnemeriter rof yfilauq yeht hcihw retfa( stifeneb ytilibasid ytiruceS laicoS rof yfilauq yam 26 fo ega eht rednu slaudividni delbasiD .raey eno tsael ta fo doirep suounitnoc a rof tsal ot ro htaed ni tluser ot detcepxe eb nac taht tnemriapmi latnem ro lacisyhp a fo esuaceb krow ot elbanu si ohw nosrep a ,sesoprup ytiruceS laicoS roF delbasiD .stifeneb pu gnikat yaled ot seunitnoc ehs ro eh fi neve ,07 ega sehcaer nosrep a nehw spots esaercni eht ,revewoH .ARF reh ro sih dnoyeb pu-ekat tifeneb syaled yraicifeneb a gnol woh dna htrib fo etad s'yraicifeneb eht no gnidneped seirav esaercni eht fo tnuoma ehT .)ARF( ega tnemeriter lluf reh ro sih dnoyeb stifeneb ytiruceS )CRD( tiderC laicoS gnimialc syaled yraicifeneb a fi )AIP( tnuoma ecnarusni yramirp eht ot esaercni nA tnemeriteR deyaleD .dexedni egaw si tiderc a rof deriuqer sgninrae fo tnuoma ehT .stiderc xis sa wef sa htiw detnarg eb yam stifeneb ,sesac eseht ni ;sesac ytilibasid dna rovivrus emos ni deriuqer eb yam stiderc reweF .sgninrae derevoc ni 079$ hcae rof )raey rep ruof fo latot a ot pu( tiderc eno deviecer rekrow a ,6002 nI .tnemyolpme derevoc fo sraey 01 tsael ta ot tnelaviuqe si hcihw ,metsys ytiruceS laicoS eht ni stiderc 04 tsael ta etalumucca tsum laudividni na ,stifeneb rekrow deriter rof derusni eb oT stiderC ).ytiruceS laicoS yb derevoc era srekrow lla fo %69 tuobA( .noitpmexe laiceps rehtona evah ro ,noitapicitrap yrotadnam rof sgninrae hguone hgih evah ton od ,ytiruceS laicoS fo edistuo sreyolpme rieht yb dereffo metsys yrotubirtnoc elbigile ralimis a yb derevoc rehtie era ytiruceS laicoS yb derevoc ton srekroW .deyolpme-fles si ohw rekrow a ro ,ytiruceS laicoS ot sgninrae fo noitrop a setubirtnoc ehs ro eh hcihw ta boj a ni deyolpme si ohw rekrow A rekroW derevoC .xat lloryap ytiruceS laicoS eht morf tpmexe era esab egaw elbaxat eht evoba sgninrae derevoC .sexat lloryap ytiruceS laicoS ot tcejbus era--sgninrae elbaxat ,si taht--esab egaw elbaxat eht woleb sgninrae derevoc llA ).noitamrofni erom rof rekrow derevoc eeS( .margorp ytiruceS laicoS eht ot snoitubirtnoc seriuqer hcihw boj a morf sgninraE sgninraE derevoC ¢ ¢ )ARN( egA .)ARF( ega tnemeriter lluf eeS tnemeriteR lamroN .noitalfni rof detsujda ton era srallod lanimoN .raey taht gnirud gniliaverp secirp eht gnisu ,raey nevig a gnirud yenom fo tnuoma na fo eulav ecaf ehT sralloD lanimoN .E xidneppA ees esaelp ,troper siht ni desu ledom noitalumisorcim misanyD eht no noitamrofni erom roF .detceffa eb dluow stnapicitrap woh dna segnahc ycilop rednu etarepo dluow margorp ledoM tnemnrevog a woh setalumis taht ledom retupmoc a ,sisylana ycilop fo txetnoc eht nI noitalumisorciM .eb dluow naem a sa ,seulav wol ylemertxe ro hgih ylemertxe wef a yb detceffa ton si naidem a fo eulav ehT .woleb era flah dna ,naidem eht evoba era seulav atad eht flaH .tsetaerg ot tsael morf degnarra srebmun fo seires a ni rebmun elddim ehT naideM .naem eht fo daetsni desu yllareneg si naidem eht ,troper siht nI .tes atad eht ni seulav fo rebmun eht yb mus eht gnidivid dna seulav eht lla gnidda yb denimreted si tI .tes atad a ni eulav egareva eht si naem ehT naeM ).egnar trohs osla eeS( .sutats laicnanif s'ytiruceS laicoS fo snoitcejorp egnar-gnol sedulcni tropeR seetsurT ytiruceS laicoS launna ehT .ytiruceS laicoS yb derevoc yltnerruc srekrow fo emitefil gniniamer mumixam eht yletamixorppa si ti esuaceb doirep siht rof edam era setamitse lairautca egnar-gnoL .sraey 57 txen eht ,ytiruceS laicoS fo txetnoc eht nI egnaR gnoL .desu ylnommoc tsom si 56 ega ta ycnatcepxe efil ,ytiruceS laicoS fo txetnoc eht nI .trohoc nevig a rof htaed ot roirp detcepxe sraey fo rebmun gniniamer egareva eht fo etamitse nA ycnatcepxE efiL .snoitpmussa etaidemretni 'seetsurT eht sesu troper sihT .tropeR seetsurT ytiruceS laicoS eht ni yllaunna dehsilbup era snoitpmussa esehT .snoitpmussa )citsimitpo( tsoc wol dna snoitpmussa )citsimissep( tsoc hgih ecudorp osla seirautca ehT .sdnert cimonoce snoitpmussA dna cihpargomed erutuf fo "etamitse tseb" 'seirautca noitartsinimdA ytiruceS laicoS ehT etaidemretnI .htaed ro ,ytilibasid ,tnemeriter s'rekrow eht fo tneve eht ni stifeneb rof ytilibigile hsilbatse ot srovivrus ro nerdlihc dna esuops s'rekrow eht timrep ot ro ,stifeneb rekrow delbasid ro deriter rof stnemeriuqer ytilibigile teem ot stiderc hguone gnivah ,ytiruceS laicoS fo txetnoc eht nI derusnI ).stifeneb yna yap ot elbanu dna ekorb yletelpmoc eb dluow ytiruceS laicoS taht naem ton dluow ycnevlosnI( .emit no stifeneb lluf yap ot elbanu erew sdnuf tsurt s'ytiruceS laicoS taht naem dluow ycnevlosnI .stessa dnuf tsurt detalumucca dna emocni xat tnerruc fo tuo sesnepxe tnerruc lla yap ot sdnuf tsurt eht fo ytilibani eht ,ytiruceS laicoS fo txetnoc eht nI ycnevlosnI .xednI ecirP remusnoC eht si setatS detinU eht ni noitalfni fo erusaem laiciffo ehT .secivres dna sdoog lla fo level ecirp lareneg eht ni esaercni fo etar A )secirP( noitalfnI .deirram si laudividni eht fi ,esuops eht fo emocni edulcni setamitse emocni tub ,noitavresbo fo tinu eht era slaudividnI .stessa laicnanif fo eulav dezitiunna eht dna ,ISS ,sgninrae ,stnuocca tnemeriter morf emocni ,stifeneb noisnep tifeneb-denifed ,stifeneb ytiruceS laicoS gnidulcni ,5302 raey eht ni emocni latot fo snoitcejorp misanyD ,troper siht fo txetnoc eht nI emocnI .puorg taht ot deilppa ton era sesaercni xat ro/dna stuc tifeneb fi sselmrah dleh si seiraicifeneb fo puorg a ,ytiruceS laicoS fo txetnoc eht nI sselmraH dloH ).ega tnemeriter lamron eht dellac oslA( .shtnom 6 dna sraey 56 saw ARF eht ,6002 nI .76 ega ot gnisaercni yllaudarg won si dna ,yrotsih s'ytiruceS laicoS fo tsom rof 56 ega saw )ARF( ega tnemeriter lluf ehT .stifeneb tnemeriter )ARF( ytiruceS laicoS decudernu ot deltitne emoceb tsrif yam laudividni na hcihw ta ega ehT egA tnemeriteR lluF sexaT )tcA snoitubirtnoC ecnarusnI .sexat lloryap eeS laredeF( ACIF ¢ ¢ .deppac si sgninrae elbaxat fo tnuoma eht dna talf si etar xat eht ecnis ,evisserger si xat lloryap ytiruceS laicoS ehT .srenrae rehgih od naht )stifeneb rewol yletanoitroporp eviecer ro( sexat rehgih yletanoitroporp yap srenrae rewol hcihw ni metsys A evissergeR .srallod 5002 ni era seulav laer ,troper siht nI .noitalfni rof detsujda era srallod laeR .raey nevig a ni rewop gnisahcrup fo smret ni derusaem yenom fo tnuoma na fo eulav ehT sralloD laeR .slevel emocni tnereffid fo slaudividni no segnahc ycilop fo stceffe eht etartsulli ot desu era selitniuq emocni ,troper siht nI .noitalupop eht fo emocni eht fo elitnecrep ht04 dna ht02 eht neewteb sllaf emocni esohw eno si noitubirtsid emocni na fo elitniuq mottob-eht-morf-dnoces eht ni laudividni na ,elpmaxe roF .shtfif otni dedivid neeb sah taht noitubirtsid a fo stnemges evif fo enO elitniuQ .stiderc eeS egarevoC fo sretrauQ .emitefil seiraicifeneb a fo esruoc eht revo stifeneb fo rewop gnisahcrup eht niatniam ot yaw a sa )noitalfni ,.e.i( secirp ni htworg eht ot gnidrocca detsujda era stifeneb hcihw ni )ALOC( tnemtsujda gnivil-fo-tsoc launna na eviecer seiraicifeneb ,ytiruceS laicoS fo txetnoc eht nI .yub nac yenom fo tnuoma nevig a taht secivres dna sdoog fo tnuoma ehT rewoP gnisahcruP .evissergorp si alumrof tifeneb ytiruceS laicoS ehT .srenrae rehgih od naht )sexat rewol yletanoitroporp yap ro( stifeneb rehgih yletanoitroporp eviecer srenrae rewol hcihw ni metsys A evissergorP .tniop dneb dnoces eht evoba EMIA fo %51 sulp ,stniop dneb dnoces dna tsrif eht neewteb EMIA fo %23 sulp ,tniop dneb tsrif eht ot pu )EMIA( sgninrae ylhtnom dexedni alumroF egareva s'rekrow a fo %09 ot lauqe si AIP ehT .8791 retfa eid ro ,delbasid emoceb ,26 )AIP( tnuomA ega niatta ohw srekrow rof )AIP( tnuoma ecnarusni yramirp eht etaluclac ot alumrof ehT ecnarusnI yramirP .alumrof AIP eht ni stniop dneb eht neewteb stnuoma )EMIA( sgninrae ylhtnom dexedni srotcaF egareva s'rekrow a ot deilppa si hcae ;%51 dna %23 ,%09 era srotcaf AIP ehT .deilpitlum )AIP( tnuomA era alumrof )AIP( tnuoma ecnarusni yramirp eht ni stnuoma rallod eht hcihw yb srotcaf ehT ecnarusnI yramirP .A xidneppA ot refer esaelp ,noitaluclac AIP eht no noitamrofni erom roF .tnuoma tifeneb cisab a sa ot derrefer oslA .srovivrus ro esuops reh ro sih ot diap stifeneb ,elpmaxe rof--drocer sgninrae s'rekrow eht no elbayap stifeneb etaluclac ot desu osla si ,)EMIA( sgninrae ylhtnom dexedni egareva s'rekrow eht no desab si hcihw ,tnuoma sihT .rekrow delbasid a ot ,yllareneg ,ro )ARF( ega tnemeriter lluf eht ta stifeneb eviecer )AIP( tnuomA ot snigeb ohw rekrow deriter a ot elbayap tnuoma tifeneb ytiruceS laicoS ylhtnom ehT ecnarusnI yramirP ).srotcaf AIP eht gnicuder ot ecnerefer ni desu yllacipyt si "gnixedni ecirp" mret eht tub ,dexedni ecirp eb osla dluoc ,stniop dneb sa hcus ,wal tnerruc rednu dexedni egaw era hcihw alumrof tifeneb ytiruceS laicoS eht fo strap rehtO( .wal tnerruc rednu naht rewol eb dluow stifeneb ytiruceS laicoS 'seiraicifeneb ,gnixedni ecirp fo metsys a rednU .raey roirp dnoces eht rof )IWA( xednI egaW egarevA eht ot )IPC( xednI ecirP remusnoC eht fo oitar eht yb raey hcae deilpitlum eb dluow srotcaf )AIP( tnuoma ecnarusni yramirp eht ,gnixedni ecirp fo mrof siht rednU .)wal tnerruc rednu sa( htworg egaw fo etar eht ta naht rehtar )noitalfni ,.e.i( htworg ecirp fo etar eht ta slevel tifeneb 'slaudividni esaercni dluow gnixedni ecirp fo mrof dessucsid ylnommoc tsom ehT .stifeneb gnitaluclac fo dohtem evitanretla desoporp a ,ytiruceS laicoS fo txetnoc eht nI gnixednI ecirP .)reyolpme dna eeyolpme hcae yb diap si %54.1 hcihw fo( sgninrae derevoc lla fo %9.2 fo xat ecnarusnI latipsoH eracideM a dna xat ytiruceS laicoS eht htob edulcni sexat ACES dna ACIF .sexat )tcA snoitubirtnoC tnemyolpmE-fleS( ACES ro )tcA snoitubirtnoC ecnarusnI laredeF( ACIF sa nwonk osla era sexat lloryaP .)reyolpme dna eeyolpme hcae yb diap si %2.6 hcihw fo( %4.21 si etar xat lloryap ytiruceS laicoS eht yltnerruC .seeyolpme dna sreyolpme yb strap lauqe ni diap si xat lloryap ytiruceS laicoS ehT .raey nevig a ni esab egaw noitubirtnoc eht ot pu ,sgninrae derevoc lla no deivel xat a ,ytiruceS laicoS fo txetnoc eht nI xaT lloryaP ).stifeneb deludehcs osla eeS( .ycnevlosni ytiruceS laicoS fo esac eht ni stifeneb deludehcs naht ssel eb dluow stifeneb elbayaP .wal eht ni htrof tes alumrof eht ot gnidrocca diap eb dluow hcihw esoht naht ssel era stifeneb esoht fi neve ,stessa dnuf tsurt detalumucca dna emocni xat tnerruc htiw elbayap stifeneb sedulcni taht enilesab a ,ytiruceS laicoS fo txetnoc eht nI enilesaB elbayaP ¢ ¢ .drocer sgninrae nwo reh ro sih no desab ,rekrow delbasid ro deriter a ot elbayap stifeneb ytiruceS laicoS stifeneB rekroW .stnuoma tpmexe )TER( tset sgninrae tnemeriter eht dna ,alumrof )AIP( tnuoma ecnarusni yramirp eht ni stniop dneb eht ,esab egaw elbaxat eht ,alumrof )EMIA( sgninrae ylhtnom dexedni egareva eht gnidulcni ,margorp ytiruceS laicoS eht ni seulav esaercni ot desu si )IWA( xednI egaW egarevA ehT .segaw lanoitan ni htworg launna eht rof tnuocca ot detsujda era seulav rallod hcihw yb dohtem a ,ytiruceS laicoS fo txetnoc eht nI noitaxednI egaW .esab sgninrae elba xat eeS mumixaM elbaxaT ).mumixam elbaxat eht ro ,esab egaw elbaxat ,esab tifeneb dna noitubirtnoc eht dellac oslA( .002,49$ saw esab sgninrae elbaxat eht fo tnuoma eht ,6002 nI .)htworg egaw llarevo htiw raey hcae sesir ,.e.i( dexedni egaw si esab sgninrae elbaxat eht fo tnuoma ehT .sesoprup noitatupmoc tifeneb rof elbatiderc ron elbaxat rehtien era tnuoma siht evoba sgninrae derevoC .stifeneb ytiruceS laicoS drawot detiderc dna sexat lloryap esaB ytiruceS laicoS ot tcejbus era taht sgninrae derevoc fo tnuoma launna mumixam ehT sgninraE elbaxaT ).5002 ni elbaxat erew sgninrae derevoc fo %58 tuobA( .esab sgninrae elbaxat eht naht ssel si taht tnemyolpme derevoc ni denrae emocni tnemyolpme-fles ro/dna segaw ,ytiruceS laicoS fo txetnoc eht nI sgninraE elbaxaT .B xidneppA ees esaelp ,detaluclac era stifeneb rovivrus woh no noitamrofni erom roF .troper siht ni dezylana ton era--stifeneb s'tnerap dna ,s'rehtaf ,s'rehtom ,s'dlihc--stifeneb rovivrus fo sepyt rehtO .)elbacilppa fi ,)CRD( tiderc tnemeriter deyaled ro noitcuder tnemeriter ylrae eht gniylppa retfa AIP s'esuops desaeced eht ,.e.i( tnuoma tifeneb lautca s'esuops desaeced reh ro sih fo %001 si rewodiw ro wodiw dega na rof )AIP( tnuoma ecnarusni yramirp ehT .rekrow desaeced eht fo stnerap dna ,nerdlihc ,sesuops remrof ,s)re(wodiw edulcni seiraicifeneb rovivrus laitnetoP .drocer sgninrae s'rekrow eht no desab ,rekrow desaeced a fo srovivrus eht ot elbayap stifeneb ytiruceS laicoS stifeneB rovivruS .B xidneppA ees esaelp ,detaluclac era stifeneb esuops woh no noitamrofni erom roF .AIP s'esuops reh ro sih fo %05 yllareneg si yraicifeneb esuops a rof )AIP( tnuoma ecnarusni yramirp ehT .drocer sgninrae s'rekrow eht no desab ,rekrow delbasid ro deriter a fo esuops decrovid ro esuops eht ot elbayap stifeneb ytiruceS laicoS stifeneB esuopS .ecnalab evitisop a niatniam sdnuf tsurt ytiruceS laicoS eht sa gnol sa tnevlos deredisnoc si ytiruceS laicoS .stessa dnuf tsurt detalumucca dna emocni xat tnerruc fo tuo eud nehw stifeneb deludehcs yap ot ytiliba eht ,ytiruceS laicoS fo txetnoc eht nI ycnevloS .ecnarusni laicos fo metsys a si ytiruceS laicoS .metsys ecnarusni laicos eht ot snoitubirtnoc 'sreyolpme dna 'srekrow no desab era stnuoma tifeneB .)htaed ro ,ytilibasid ,tnemyolpmenu ,tnemeriter ,.g.e( tneve emos ot eud erac htlaeh ro sgninrae fo ssol eht yb desuac ytirucesni cimonoce tsniaga seilimaf rieht dna srekrow serusni taht metsys A ecnarusnI laico S ).egnar gnol osla eeS( .sutats laicnanif s'ytiruceS laicoS fo snoitcejorp egnar-trohs sedulcni tropeR seetsurT ytiruceS laicoS launna ehT .sraey 01 txen eht ,ytiruceS laicoS fo txetnoc eht nI egnaR trohS ).enilesab elbayap osla eeS( .ycnevlosni ytiruceS laicoS fo esac eht ni stifeneb elbayap naht retaerg eb dluow stifeneb deludehcS .stessa dnuf tsurt detalumucca dna emocni xat tnerruc htiw elbayap eb dluow stifeneb esoht rehtehw fo sseldrager ,wal eht ni htrof tes alumrof eht ot gnidrocca stifeneb sedulcni taht enilesab a ,ytiruceS laicoS fo txetnoc eht nI enilesaB deludehcS .C xidneppA ees esaelp ,TER eht no noitamrofni erom roF .)syadhtrib rieht erofeb shtnom eht gnirud ,.e.i( ARF eht hcaer yeht hcihw ni raey eht gnirud 042,33$ naht erom gninrae seiraicifeneb ot dna ,ARF eht hcaer yeht hcihw ni raey eht erofeb 084,21$ naht erom gninrae seiraicifeneb ot deilppa TER eht ,6002 nI .)ARF( ega tnemeriter lluf eht erofeb krow )TER( tseT morf sgninrae fo tnuocca no stifeneb ytiruceS laicoS secuder hcihw wal eht fo noisivorp A sgninraE tnemeriteR .stifeneb s'nosrep a fo ycauqeda eht gnirusaem fo yaw eno era setar tnemecalpeR .)EMIA( sgninrae ylhtnom dexedni egareva reh ro sih yb tifeneb ytiruceS laicoS laitini s'rekrow a gnidivid yb detaluclac si etar tnemecalper ytiruceS laicoS A .stifeneb yb decalper era taht tnemeriter erofeb sgninrae elbaxat fo noitroporp eht ,ytiruceS laicoS fo txetnoc eht nI etaR tnemecalpeR ¢ ¢ ¢ ¢ Laura Haltzel Dawn Nuschler Specialist in Income Security Specialist in Income Security lhaltzel@crs.loc.gov, 7-4895 dnuschler@crs.loc.gov, 7-6283 Kathleen Romig Gary Sidor Analyst in Income Security Information Research Specialist kromig@crs.loc.gov, 7-3742 gsidor@crs.loc.gov, 7-2588 Scott Szymendera Mikki Devine Waid Analyst in Disability Policy Applications Developer, Client-Server and WEB sszymendera@crs.loc.gov, 7-0014 mwaid@crs.loc.gov, 7-3908 Debra B. Whitman ------------------------------------------------------------------------------ For other versions of this document, see http://wikileaks.org/wiki/CRS-RL33841