Uganda - Social sector strategy (Vol. 2 of 2) : Annexes

Report No. 10765-UG Uganda Social Sector Strategy (In Two Volumes) Volume II: Annexes April 6, 1993 Population and Human Resources Division Eastern Africa Department FOR OFFICIAL USE ONLY Document of the World Bank This document has a restricted distribution and may be used by recipients only in the performance of their official duties. Its contents may not otherwise be disclosed without World Bank authorization. FOR OFFICIAL USE ONLY -88- Annex A -Page 1 of 9 Technical Annex on Demographic Estimates and Projections Demographic data for Uganda are poor: vital registration is lacking, the last census to provide national estimates of population and vital rates was in 1969 (many of the 1980 census results have been lost and the 1991 census has not been fully processed), and only one national demographic survey has been carried out (in 1988/89). Therefore, demographic indicators for Uganda are largely based on models that extrapolate from the 1969 census and the 1988/89 survey. In this report, demographic estimates and projections are made with a standard cohort- component projection model. Projections of AIDS mortality are made with an epidemiologic simulation model that is linked with the demographic projections model. This purpose of this technical note is to describe the data and assumptions used in the demographic and AIDS projections shown in the report. 1. Demographic Projections Cohort component projections. The demographic model uses an initial age and sex distribution and applies a sequence of age-specific fertility, mortality, and migration rates to provide future age distributions and oiher demographic indicators. The computer program for the projections was written by K. Hill (1990). Base population total and age structure. The initial year for the projections is 1985. The base total population and age structure is a projection to midyear 1985 of the 1969 census age structure with vital rates based on the 1969 census, the 1988/89 DHS and levels of net migration and adult mortality estimated by A. Hill (1992). The base population is consistent with the 1980 and 1991 census totals; age structures of the 1980 and 1991 census were not available for the analysis. Fertilty. The total fertility rate (TFR) for the base period (1985-90) is assumed to equal the TFR measured in the DHS for 1985 to 1988. In the declining-fertility scenario, the TFR for the first projection period (1990-95) is assumed to decline by a small quantity to 7.2, after which a sharp decline is assumed. This trend in future fertility levels is based on an analysis of fertility preferences estimated in the DHS. Age-specific fertility rates for the base period are also from the DHS. Future age specific fertility rates are reduced proportionately to match the TFR, but become more concentrated in the middle-ranges (25-34) after fertility drops below 6 (Table 1). In the constant fertility scenario, both the TFR and the age pattern of fertility are assumed to remain unchanged from the 1985-90 levels. Mortality. Levels of infant mortality (IMR) and child mortality for the base period are from the analysis by Hill (1992) of the 1969 census and the 1988/89 DHS, adjusted for increased mortality caused by AIDS. Overall life expectancy for the base period is estimated from Coa!e-Demeny "North" model life tables selected on the basis of infant and child mortality. Projections of infant mortality rates and overall life expectancy follows a model in which the rate of change in the IMR and e(0) follows a logistic pattern based on the rate of change in previous periods until 2000, and a general model based on observed mortality changes in data from a large number of countries after the year 2000 (Bulatao and Bos, 1989). Table 1 shows life table survivorship ratios, 1(x), for males and females. These projections do not incorporate mortality from AIDS, which is This document has a restricted distribution and may be used by recipients only in the performance of their official duties. Its contents may not otherwise be disclosed without World Bank authorization. 89- Annex A Page 2 of 9 Table 1. Age specific fertility rates, TFR, and mean age at childbearing, by period Period 15-19 20-24 25-29 30-34 35-39 40-44 45-49 TFR Mean Age 1985-90 0.187 0.324 0.318 0.272 0.223 0.096 0.040 7.30 29.1 1990-95 0.184 0.320 0.314 0.269 0.220 0.094 0.039 7.20 28.9 1995-00 0.166 0.289 0.283 0.242 0.199 0.085 0.036 6.50 28.9 2000-05 0.127 0.270 0.283 0.234 0.156 0.075 0.015 5.80 28.8 2005-10 0.104 0.241 0.252 0.203 0.130 0.059 0.011 5.00 28.7 2010-15 0.092 0.226 0.237 0.188 0.116 0.051 0.010 4.60 28.6 2015-20 0.075 0.204 0.215 0.165 0.096 0.039 0.007 4.00 28.4 2020-25 0.058 0.182 0.192 0.141 0.076 0.027 0.004 3.40 28.2 projected separately (see below for procedures) and added to mortality from other causes after the no-AIDS mortality projection has been made. Migration. International net migration is assumed to be negligible in future periods. Table 2. Projected survivorship ratios, 1(x) by age and sex 1990-95 2000-05 2010-15 2020-25 Male Female Male Female Male Female Male Female 0 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1 0.88 0.90 0.90 0.92 0.92 0.93 0.93 0.94 5 0.81 0.83 0.85 0.87 0.87 0.89 0.90 0.91 10 0.78 0.80 0.82 0.84 0.86 0.87 0.89 0.90 15 0.76 0.78 0.81 0.83 0.85 0.86 0.88 0.89 20 0.75 0.77 0.80 0.81 0.83 0.85 0.87 0.88 25 0.72 0.74 0.77 0.79 0.81 0.83 0.85 0.87 30 0.70 0.72 0.75 0.77 0.79 0.81 0.84 0.85 35 0.67 0.69 0.72 0.75 0.77 0.79 0.82 0.84 40 0.65 0.66 0.70 0.72 0.75 0.77 0.80 0.82 45 0.62 0.63 0.67 0.69 0.72 0.74 0.77 0.79 50 0.58 0.60 0.63 0.65 0.68 0.71 0.74 0.77 55 0.54 0.56 0.59 0.61 0.64 0.67 0.69 0.73 60 0.48 0.51 0.53 0.56 0.58 0.62 0.63 0.68 65 0.42 0.44 0.46 0.50 0.50 0.55 0.55 0.61 70 0.33 0.36 0.37 0.41 0.41 0.46 0.44 0.51 75 0.23 0.25 0.27 0.30 0.29 0.34 0.32 0.39 80 0.14 0.15 0.16 0.18 0.17 0.21 0.19 0.25 -90- Annex A Page 3 of 9 2. HIV/AIDS Projections The projections of AIDS mortality are carried out with a model developed by Bulatao (1991) that consists of a numerical simulation of th,ee processes: the spread of HIV, the development of AIDS among those infected with HIV, and the progression from AIDS to death. The three processes are modeled separately for adults (those aged 15 years and over) and children. This epidemiologic model links with the fertility and mortality projections produced by the demographic model to assure that those who die of other causes cannot die of AIDS, to combine mortality from AIDS with mortality from other causes into one life table, and to produce age-sex structures that relect the corrbined mortality. Fertility rates are assumed not to be affected by AIDS mortality, but the number of births is and the birthrate are aftecied by the changes in population size. Level of HIV infection. A national survey (excluding the Northern and Eastern parts of the country) was carried out in 1987/88 to measure the extent of HIV infection by age and sex using blood samples. The age-sex distribution of HIV positive adults, shown in Figure 2, forms the basis for future projections of HIV and of AIDS mortality. The Bulatao model assumes that future HIV infections occur through sexual contacts, blood transfusions, infected needles, and perinatally between mother and child. Adults are divided into subgroups, which correspond to single and married individuals with various frequencies of new sexual contacts during a specified time period. Given the initial levels of the proportion infected with HIV, the number infected in each subsequent year is calculated subgroup by subgroup. The calculation of the number of seroconversions (0) in one year (t) in a given subgroup (s) of one sexual orientation group (r) is given by 0.,, = M,,., P,.1 {1 - (1 - 0) (1 - OT) (1 - Re,.- [1 - (1 - T.)S1I)Rs} where M is the number of HIV seronegatives in the subgroup, P is the likelihood of adult survival from mortality unrelated to HIV, R is the proportion of potential sexual contacts, or agents, who are infective, T is the likelihood of transmission to group r through sexual contact, S is an average number for sex acts per partner, and F is the annual number of new partners. (Different values of F and S are the main factors distinguishing sexual orientation subgroups.) 0 and OT correspond to the proportion of blood and needled that are infected. For perinatal transmission, the number of infected newborns is the product of the number of women of reproductive age, the proportion of women infected, and the general fertility rate. One out of three infants born to an infected mother is assumed to be infected with HIV. Progression from HI to AIDS and to death. The number that progress to AIDS is determined by applying separate schedules for adults and children that depend on year since initial infection, after excluding mortality from other causes. The model therefore keeps track of cohorts of HIV seropositives distinguished by infection date, so that appropriate progression rates can be applied. A logistic function of the form H = k / [2 + exp (a + bt)] -91- Annex A Page 4 of 9 Is applied in generating the schedule. The progression from infection to frank AIDS for both adults and children can be modeled with the same functional form, with the parameters set to allow substantially faster progression for children. Progression from AIDS to death is handled in a similar manner as progression to frank AIDS, using a logistic pattern. Model complications. Several cofactors, with important implications for the effectiveness of interventions, are incorporated in the model. These include condoms use, blood screening, and STDs prevalence. Prevalence of these cofactors can be specified to change over time, and HIV transmission rates may be adjusted with an appropriate multiplier. Two scenarios. The report shows two different AIDS scenarios. Both scenarios assume that blood screening will improve in the future. The "uncontrolled AIDS" scenario assumes no cnanges from current levels in behaviors that affect the spread of HIV. In the "AIDS interventions" scenario, condom use is assumed to increase from 1990 levels for those in the highest risk groups, with a corresponding decline in the prevalence of genital ulcers. Figure 1. Percent HIV seropositive by age and sex, serosurvey 1987/88 29 26 - 24 - 22 - 20 - 60 - 10 : 16 Jl 4 - 2 S 0 15-19 20-24 25-29 30-34 35-39 40-44 45-49 3O. Figure 2. Assumed progression for adults from infection to HIV and death Ila 100 so so 50 40. 30 20 10 a, 6 6A d 6 11 1 IS i's 2b Y'EARS SJNCE INFECTIOW HIV -92- Annex A Page 5 of 9 References: Bulatao, Rodolfo A. 1991. "The Bulatao Approach: Projecting the Demographic Impact of the HIV Epidemic Using Standard Parameters." Chapter X in: United Nations/World Health Organization (1991) The AIDS Epidemic and its Demographic Consequences. New York and Geneva. Bulatao, Rodolfo A. and Eduard Bos. 1989. Projecting Mortality for All Countries. Policy, Planning, and Research Working Papers, No. 337. Population and Human Resources Department, The World Bank. Hill, Althea. 1992. "The Demography of Uganda". Draft. Hill, Kenneth. 1990. PROJ3S - A Computer Program for Population Projections. Washington, DC: The World Bank. -93- Annex A Page 6 of 9 Table P.1: PROJECTED POPULATION, WITH CONSTANT FERTILITY, IN THE ABSICE OF AIDS AGE GROUP 1985 199 1995 2000 2005 . 2010 20.5 2020 2025 2030 .L M+F 14134 16325 19448 23363 28202 34093 41365 50467 61922 76324 P.-.ES 0-4 1392 1634 2004 2450 2956 3536 4283 5260 6506 8056 5-9 1114 1270 1516 1877 2318 2816 3393 4139 5119 6374 10*14 975 1075 1238 1481 1840 2277 2775 3352 4099 5083 15-19 807 944 1052 1214 1455 1810 2245 2741 3317 4064 20-24 577 760 919 1025 1184 1422 1774 2206 2700 3275 25-29 417 525 736 890 994 1152 1388 1737 2166 2658 30-34 317 373 507 711 861 966 1123 1356 1702 2129 35-39 259 283 359 488 686 834 938 1094 1325 1668 40-44 226 233 271 344 468 661 805 908 1062 1291 45-49 202 205 220 257 327 447 632 772 874 1025 50-54 174 184 192 206 241 307 421 597 732 830 55-59 148 157 168 175 169 221 283 389 552 678 60-64 118 130 138 149 156 168 197 252 346 493 65-69 89 97 108 116 125 131 142 166 212 292 70*74 59 67 74 83 89 96 101 109 128 164 75+ 57 62 70 79 89 98 106 113 122 138 TOTAL 6930 8000 9572 11542 13978 16944 20607 25192 30963 38217 FEMALES 0-4 1383 1622 19& 2425 2920 3489 4219 5174 6391 7902 5-9 1111 1267 1511 1871 2306 2795 3359 4088 5045 6268 10-14 971 1071 1235 1478 1835 2268 2755 3321 4051 5011 15-19 806 940 1048 1210 1451 1806 2237 2723 3288 4020 20-24 596 769 916 1023 1183 1422 1775 2203 2687 3252 25-29 459 558 745 889 995 1155 1392 1741 2167 2651 34 377 428 533 720 862 968 1126 1361 1708 2132 35-39 318 351 410 517 695 834 940 1097 1331 1676 40-44 270 297 335 392 497 669 806 917- 1069 1302 45-49 230 253 282 319 375 47 643 778 883 1038 50-54 192 215 238 266 302 356 453 614 745 840 55-59 159 176 198 220 247 281 333 425 579 705 60-64 123 142 157 178 199 224 256 304 390 532 65-69 92 103 119 133 152 171 193 222 265 342 70-74 60 70 79 92 104 120 135 155 179 215 75+ 57 64 74 85 101 117 136 157 182 212 TOTAL 7204 8325 9875 11820 14224 17149 20758 25275 30959 38107 BIRTH RATE 50.3 51.9 52.2 51.3 50.3 49.8 49.8 49.9 49.7 DEATH RATE 16.9 16.9 15.5 13.7 12.4 11.2 10.1 9.0 7.9 RATE OF NAT. INC. 3.34 3.50 3.67 3.76 3.79 3.87 3.98 4.09 4.18 NET MIGRATION RATE -3.9 .0 .0 .0 .0 .0 .0 .0 .0 GROWTH RATE 2.88 3.50 3.67 3.76 3.79 3.87 3.98 4.09 4.18 TOTAL FERTILITY 7.300 7.300 7.300 7.300 7.300 7.300 7.300 7.300 7.300 NAR 2.541 2.597 2.681 2.784 2.855 2.928 3.002 3.078 3.155 e(O) - BOTH SEXES 48.33 49.31 51.04 53.27 54.93 56.64 58.41 60.24 62.12 e(10) - BOTH SEXES 51.66 51.96 52.54 53.43 54.33 55.25 56.19 57.16 58.15 INR * BOTH SEXES 115.4 109.7 100.0 88.5 83.0 77.6 72.1 66.6 61.1 q(5) - BOTH SEXES .1931 .1823 .1641 .1429 .1310 .1190 .1070 .0949 .0827 DEP. RATIO 108.6 106.1 106.2 108.7 111.0 110.7 109.3 108.4 109.0 110.4 .94- Annex A Page 7 of 9 Table P.2: PROJECTED POPULATION, WITH CONSTANT FERTILITY, AND UNCONTROLLED AIDS t ^ROUP 1985 1990 1995 2000 2005 2010 2015 2020 2025 TOTAL M+F 14134 16264 19039 22228 25991 30578 36231 43242 52000 MALES 0-4 1392 1625 1947 2317 2734 3251 3883 4673 5684 5-9 1114 1274 1502 1801 2147 2549 3052 3673 4451 10-14 975 1079 1249 1477 1774 2121 2523 3028 3652 15-19 807 947 1060 1228 1455 1752 2098 2501 3008 20-24 577 762 924 1035 1202 1428 1724 2070 2474 25-29 417 525 735 890 1000 1164 1388 1681 2026 30-34 317 370 495 690 837 943 1101 1316 1600 35-39 259 276 335 438 612 752 850 992 1188 40-44 226 225 243 283 367 522 651 738 861 45-49 202 200 198 203 229 298 435 555 632 50-54 174 180 174 162 158 173 226 341 449 55-59 148 153 152 138 120 109 112 145 232 60-64 118 127 125 117 99 78 61 53 63 65-69 89 96 100 94 83 65 43 24 10 70-74 59 67 70 71 64 55 39 20 2 75+ 57 63 69 72 73 68 58 42 20 TOTAL 6930 7968 9378 11014 12955 15326 18243 21852 26351 FEMALES 0-4 1383 1613 1931 2294 2702 3205 3823 4595 5577 5-9 1111 1272 1498 1794 2135 2527 3017 3623 4383 10-14 971 1077 1247 1474 1769 2110 2504 2996 3606 15-19 806 943 1058 1227 1454 1748 2089 2484 2979 -'?4 596 771 922 1035 1204 1430 1725 2067 2464 9 459 - 556 737 877 984 1145 1364 1651 1986 30-34 377 420 508 658 779 873 1017 1216 1480 35-39 318 343 375 436 558 664 745 870 1045 40-44 270 292 309 324 367 472 568 640 747 45-49 230 248 261 264 267 297 385 471 532 50-54 192 210 218 217 209 203 221 289 361 55-59 159 173 182 179 170 155 143 148 193 60-64 123 140 147 148 140 128 111 94 90 65-69 92 103 115 117 117 109 96 80 62 70-74 60 70 78 86 87 86 80 69 55 '5+ 57 65 75 84 94 99 102 99 90 TOTAL 7204 8296 9662 11215 13035 15252 17988 21390 25649 BIRTH RATE 50.3 52.0 52.7 52.7 52.6 52.7 52.7 52.7 DEATH RATE 17.6 20.5 21.7 21.4 20.1 18.7 17.4 15.8 RATE OF NAT. ;mc. 3.27 3.15 3.10 3.13 3.25 3.39 3.54 3.69 NET MIGRATION RATE -4.0 .0 .0 .0 .0 .0 .0 .0 GROWTH RATE 2.81 3.15 3.10 3.13 3.25 3.39 3.54 3.69 TOTAL FERTILITY 7.300 7.300 7.300 7.300 7.300 7.300 7.300 7.300 NRR 2.529 2.459 2.424 2.451 2.513 2.579 2.649 2.735 e(O) - BOTH SEXES 46.50 42.55 40.00 39.40 39.88 40.54 41.33 42.44 e0O) - BOTH SEXES 49.14 44.33 40.79 39.44 39.05 39.00 39.11 39.35 IMR - BOTH SEXES 118.0 120.7 115.7 106.4 95.0 88.5 83.0 71.8 q(5) - BOTH SEXES ' .1960 .2032 .2029 .1957 .1814 .1687 .1562 .1395 DEP. RATIO 108.6 106.9 107.9 110.7 112.8 113.3 113.0 112.8 113.0 -95- Annex A Page 8 of 9 Table P.3: PROJECTED POPULATION WITH CONSTANT FERTILITY, AND AIDS INTERVENTIONS AGE GROUP 1985 1990 1995 2000 2005 2010 2015 2020 .2025 '. M+F 14134 16265 19047 22284 26238 31289 37807 46222 57105 hm6iuES 0-4 1392 1625 1948 2324 2768 3336 4051 4968 6171 5-9 1114 1274 1503 1805 2166 2610 3185 3912 4850 10-14 975 1079 1249 1477 1778 2140 2583 3160 3891 15-19 807 947 1060 1228 1455 1755 2117 2560 3138 20-24 577 762 924 1035 1202 1429 1728 2089 2534 25-29 417 525 735 890 1001 1168 1394 1694 2057 30-34 317 370 495 691 842 955 1123 1352 1655 35-39 259 276 335 441 623 777 896 1068 1302 40-44 226 225 243 285 379 555 713 839 1016 45-49 202 200 198 205 238 326 499 661 791 50-54 174 180 174 164 165 195 279 447 610 55-59 148 153 152 140 126 127 155 235 395 60-64 118 127 125 118 104 53 94 121 194 65-69 89 96 100 95 87 75 67 69 93 70-74 59 67 70 71 66 61 52 47 49 75+ 57 63 69 73 74 72 68 62 56 TOTAL 6930 7968 9381 11041 13077 1!r73 19005 23285 28801 FEMALES 0-4 1383 1613 1932 2302 2735 3288 3987 4886 6057 5-9 1111 1272 1499 1798 2154 2588 3149 3861 4777 10-14 971 1077 1247 1475 1773 2129 2564 3127 3842 15-19 806 943 1058 1227 1454 1752 2108 2544 3109 20-24 596 771 922 1035 1204 1431 1729 2085 2523 *29 459 556 737 878 988 - 1155 1383 1684 2046 34 377 420 509 661 790 901 1072 1308 1618 35-39 318 343 376 439 572 701 819 998 1243 40-44 270 292 309 326 377 504 637 763 948 45-49 230 249 261 265 275 322 446 585 716 50-54 192 210 219 219 217 225 272 395 537 55-59 159 173 182 180 176 173 183 231 351 60-64 123 140 147 149 145 141 141 153 200 65-69 92 103 115 118 119 116 114 116 129 70-74 60 70 78 86 89 90 89 89 92 75+ 57 65 75 84 94 102 108 112 116 TOTAL 7204 8296 9666 11242 13161 15617 18802 22937 28'14 BIRTH RATE 50.3 51.9 52.7 52.6 52.3 52.0 51.6 51.1 DEATH RATE 17.6 20.4 21.3 20.0 17.1 14.1 11.4 8.8 RATE OF NAT. INC. 3.27 3.16 3.14 3.27 3.52 3.78 4.02 4.23 NET MIGRATION RATE -4.0 .0 .0 .0 .0 .0 .0 .0 GROWTH RATE 2.81 3.16 3.14 3.27 3.52 3.78 4.02 4.23 TOTAL FERTILITY 7.300 7.300 7.300 7.300 7.300 7.300 7.300 7.300 NRR 2.529 2.462 2.442 2.513 2.646 2.791 2.937 3.091 e(O) - BOTH SEXES 46.51 42.66 40.56 41.28 44.05 47.78 52.12 56.94 (10) * BOTH SEXES 49.15 44.43 41.33 41.16 42.85 45.69 49.15 52.72 IMR - BOTH SEXES 118.0 120.5 114.7 103.1 88.9 80.2 72.1 59.0 . q(5) * BOTH SEXES .1960 .2027 .1998 .1848 .1593 .1357 .1137 .0887 DEP. RATIO 108.6 106.9 107.9 110.7 112.7 113.1 112.5 111.9 111.6 -96- Annex A Page 9 of 9 Table P.4: PROJECTED POPULATION WITH DECLINING FERTILITY, ADYD AIDS INTERVENTIONS ................................................................................................... AGE GROUP 1985 1990 1995 2000 2005 2010 2015 2020 205 TOTAL M+F 14134 16265 18994 21737 24620 27684 31310 352371 39248 MALES 0-4 1392 1625 1922 2073 2208 2299 2543 2640 2630 5-9 1114 1274 1503 1782 1936 2083 2193 2455 2575 10-14 975 1079 1249 1477 1755 1912 2062 2176 2441 15-19 807 947 1060 1228 1455 1733 1892 2044 2161 20-24 577 762 924 1035 1202 1428 1706 1867 2022 25-29 417 525 735 890 1001 1168 1394 1673 1839 30-34 317 370 495 691 842 955 1123 1352 1634 35-39 259 276 335 441 623 777 896 1068 1302 40-44 226 225 243 285 379 555 713 839 1016 45-49 202 200 198 205 238 326 499 661 791 50-54 174 180 174 164 165 195 279 447 610 55-59 148 153 152 140 126 127 155 235 395 60-64 118 127 125 118 104 93 94 121 194 65-69 89 96 100 95 87 75 67 69 93 70-74 59 67 70 71 66 61 52 47 49 75+ 57 63 69 73 74 72 68 62 56 TOTAL 6930 7968 9355 10766 12264 13860 15736 17754 19808 FEMALES 0-4 1383 1613 1906 2053 2182 2266 2503 2596 2582 5-9 1111 1272 1499 1775 1925 2066 2168 2422 2536 10-14 971 1077 1247 1475 1751 1903 2047 2153 2411 15-19 806 943 1058 1227 1454 1730 1884 2031 2141 20-24 596 771 922 1035 1204 1431 1706 1864 2014 25-29 459 556 737 878 988 1155 1383 1662 1828 30-34 377 420 509 661 790 901 1072 1308 1597 35-39 318 343 376 439 572 701 819 998 1243 40-44 270 292 309 326 377 504 637 763 948 45-49 230 249 261 265 275 322 446 585 717 50-54 192 210 219 219 217 225 272 395 537 55-59 159 173 182 180 176 173 183 231 351 60-64 123 140 147 149 145 141 141 153 200 65-69 92 103 115 118 119 116 114 116 129 70-74 60 70 78 86 89 90 89 89 92 75+ 57 65 75 84 94 102 108 112 116 TOTAL 7204 8296 9639 10970 12356 13824 15574 17479 19440 BIRTH RATE 50.3 51.3 47.6 43.8 39.,, 38.2 34.6 30.2 DEATH RATE 17.6 20.3 20.6 18.9 16.1 13.6 11.0 8.6 RATE OF NAT. INC. 3.27 3.10 2.70 2.49 2.35 2.46 2.36 2.16 NET MIGRATION RATE -4.0 .0 .0 .0 .0 .0 .0 .0 GROWTH RATE 2.81 3.10 2.70 2.49 2.35 2.46 2.36 2.16 TOTAL FERTILITY 7.300 7.200 6.500 5.800 5.000 4.600 4.000 3.400 NRR 2.529 2.429 2.180 2.008 1.822 1.763 1.617 1.446 e(0) - BOTH SEXES 46.50 42.66 40.66 41.47 44.11 47.66 52.06 56.83 e(1O) - BOTH SEXES 49.15 44.43 41.33 41.16 42.85 45.69 49.15 52.73 IMR - 80TH SEXES 118.0 120.3 113.9 102.4 88.9 81.0 72.5 59.6 q(5) - BOTH SEXES .1960 .2026 .1979 .1808 .1581 .1379 .1149 .0905 DEP. RATIO 108.6 106.9 107.3 105.5 99.6 89.1 81.0 73.6 66. -97- Annex B Page 1 of 3 POPULATION PRESSURE ON THE LANDJ/ The capacity of Uganda's economy to absorb future population increases will depend largely on the absorptive capacity of agriculture, the source of livelihood to more than 80% of Uganda's population. While Ugandan agriculture can undoutedly provide more jobs as 1 expands, it is also important to consider relevant censtraints. Clearly Uganda has a large land area -- relative to population - of 197,000 square kilometers, a relatively large percentage of arable-to-total land (84%), and a seemingly small proportion of land actually under cultivation (25%). Yet, data from the 1963/64 Census of Agriculture reveal that 45% of the population lived on farm holdings less than 5 acres, ano that by 1989/90 85% of rural households with farmland had holdings of lezs than 5 acres, including 62% of households with holdings of less than 2.5 acres (Annex Table 1). Even acknowledging differences in survey methodology between the two periods, the *n 'n concentration of families at the lower end of the distribution of farm sizes suggests land fragmentation arising from population pressure. The remedy for rising population pressure, therefore, would appear to be expand into new, underdeveloped land areas. The question is: given abundant land, why has this not happened? Annex Table 1: Distribution of Households with Farmland by Size of Holding, Uganda, 1963/64 and 1989/90' Distribution of Farm Distribution of Households In 19891902 Holdings In 1963/64 Size Grouping (Acres) (%) Those with Farmland Ali Households (%) (% Nil - 15.7 .1 - 2.5 20.7 4.52.7 2.5 - 5.0 25.3 22.8 19.3 5.0 - 10.0 26.3 10.4 8.8 10.0 - 25.0 19.4 3.3 2.8 25.0 + 8.3 1.3 1.1 Total 100.0 100.0 100.0 oe.1..Soilrce: 196364 Uganda censm of A,uIr....Source: UL -ad& Budget and HousehodSre,18/0 A review of Uganda's agricultural sector concludes that a seriousg and perhaps the primary constraint to expansion into new areas has been insecurity. This has inhibited migration from relatively congested areas where people feel safe - for example, in areas where their own ethnic group prevais - as well as in-migration to less populated areas that are traditionally occupied by different ethnic groups. Because of this, there are large areas of the country in the North and East producing we!l below potential. As peace and security return to these areas, output can be expected to increase. 1/Discussion of this issue has been informed by, and is in agreement with, a report in preparation by the World Bank, "Uganda: Agricultural Sector Memorandum", Draft, April 27, 1992. -98- Aniiex B 7age Z of 3 A second consideration is that much..otthe auig1ed land is in areus subject to tserflX and malarla ,such as Kabarole, Molma, Masindi, and parts of Mbar&ra. Malala is a massive problem that appears to be worsening in many countries in the region -- due to resistance of malaria parasites to chloroquine and other drugs - to the extent that the direct and indirect costs of an average cas of malaria is equivalent to about 12 days output, on averc Je.2/ As Uganda's health system is restored, prospects for reducing malaria and other diseases in inaccessible areas can be expected to increase. A third constraint to expansion into new areas is limited access to roads. water srmtKflustur, all of which can place constraints on settling people and expanding product,vity in such regions. In contrast, much of the most fertile land area in Uganda is concentrated along a narrow band of area with good and stable precipitation, where population is already heavily concentrated, such as Arua, Nebbi, Masak, Mpigi, Mukono, Kasese, Rukungiri, Busheayi, as well as areas of particularly fertile soils such aa Kabale and Mbale which have the highest densities in the country. Again, as peace and security prevail in the country, thus allowing development of roads, transport, communications, schools and health systems in the new areas, the land frontier can be expected to expand. Past resettlement programs have proven time consuming, often failing to attain targets, and have been attempted with only limited success in a number of areas. The best documented example is that of Kigezi District (now comprising Kabale and Rukungiri Districts) which, under pressure of high population density, sought to move 100,000 of its 300,000 persons between 1945 to 1955 from Southern to Northern Kigezi. Yet, by 1955, only 25,000 people were settled. Efforts continued between 1955-61, with a new target -f 80,000. Again, however, the resettled population fell far short of the target, at about 20- 30,000 by 1962.2/ Meanwhile, population growth has continued unabated under a high fertility regime in what used to be Southern Kigezi (origin of the resettled population) and Northern Kigezi (destiation). Kigezi later became two districts which, by 1969, had a combined population of 647,000, growing to about 800,000 by 1991. Population density climbed from about 71 persons per square kilometer of land in the original Kigezi district to about 187 persons per square kilometer today (244 in Kabale District, and 150 in Rukungiri District). Clearly, alternatives to costly resettlement schemes must be found, such as ways to reinforce spontaneous migration patterns or to channel migration to potentially productive agricultural areas. Includine ligration as a component of future agricultural strategy in Uganda is bound to expanu the land frontier. In the xisting settled areas, bush-fallow practices, a system whereby two or three hectares must lie fallow for every hectare under cultivation to permit soil fertility to regenerate under natural conditions, are commonly employed. This means that close to th maximum amount of land which can be farmed, while still ensuring sustained soil fertility. is 2/World Bank, Africa Health Study, Chapter I "Health and Development", Mimeographed, 1pril 1992. 3/Nelson Kasfir, "Land and Peasants in Western Uganda: Busheny and Mbarara Districts", in H.B. dansen and M. Twaddle, Uqanda Now: Between Decay and Development, (Lond2n: James Currey Press), 1988; J.B. Kabera, 1991, "Migration and Urbanization in Uganda: Patterns, Trends, Causes and Consequences", (Kampala: Population Secretariat, Ministry of Planning and Economic Development), March 17, 1991. -99- Annex B Page 3 of 3 probably already -b.ing cultivated. 4/ Furthermore, incomes tend to be so low that in many of these areas most farm families have very low to zero debt servicing capacity, and are thus unable to purchase new technology. Low incomes and lack of access to credit also tend to increase the propensity to maintain risk aversion, comparatively low production strategies, and to give production of subsistence crops priority over cash crops.J/ Again, migration into new areas, more intensive land preparation and fertilizer use, and mechanization, whose appropriate, can help turn these negative conditions around. Regarding land fragmentation, the advisory committee on Uganda's National Environmental Action Plan points to the joint effects of population pressure and customary land tenure as majo. causes. Customary land tenure is a practice that does not recognize individual ownership of land, but does recognize the rights of individuals to possess and us land subject to the informal rules of his family, clan and community (NEAP). Fragmenationl and unviable parcels are observable in districts such as Kabale, Mbale. Kasese, Rukungiri, Iganga, and parts of Mbtrara and Busheny. Unfortunately, recent skudies on labor us are not available. However, the international Labour Organization conducted an in-depth time-budget study of tobacco and cassava farmers in the West Nile and middle Northern part of the country during 1976 that may be as relevant today as then. On small-holder farms not unlike those today in size and technology, it was found that male farm household heads were not active on their farms for up to 50% of the year (220 days, 6hr. work days) in West Nile, and 29% in the middle North region..E/ Comparable figures for other adult males on the farm was 68% and 58%, respectively. To conclude, pressure of population on the land is already being felt in many parts of the country. Overcoming the constraints to the absorption of additional population on the land, without impoverishment, will not be easy. This is a process which will take time, and will require savings and investment. It is therefore a process which would be facilitated by lower fertility and slower population growth. 4/ Makerere Institute of Social Research, and Land Tenure Center, University of Wisconsin, Land Tenure and Aqricultural Development in Uaanda, (Kampala: Makerere University), January, 1989. I/ International Labour Organization, "Labour Use and Productivity and Technological Change in African Smallholder Agriculture: A Case Study of Uganda", (Addis Ababa: ILO, Jobs and Skills Programme for Africa), 1984. World Bank, "Ugandat Agriculture Sector Review: Memorandum", (Joint IDA/Government of Uganda Mission, Aide-Memoir", Mimeographed), October 4, 1991; and world Bank, "Uganda: Agriculture sector Memorandum: Initiating Memorandum", December 18, 1991. See also, Joseph Atiku, "Population Policy and Planning in Uganda", (Kampala: Population Secretariat, Ministry of Planning and Economic Development, Mimeographed), April, 1991. i/International Labour Office, 1984, Ibid. -100- Annex C FEMALE PARTICIPATION IN EDUCATION Page1 of 12 A. Benefits of Female Education 1. In Uganda, there are no etudies available on the economic returns to female education. However, the conclusion from studies in other developing countries is that the costs of schooling "appear to be fully recovered by the increased market productivity or potential wage gains experienced by better educated women over their adult lifetimes ... the returns tend to be at least as high for women as they are for men." 1/ 2. In addition to private economic returns, female education has social returns of increased child survival, improved child health, and lower fertility. Education of Ugandan mothers is positively correlated with knowledge of childhood diseases and nutrition, and a more educated mother is more likely to have a child immunized. Z/ According to UDHS, there was a negative correlation between mother's education and stunting as well as child mortality. Studies on other countries indicate that the effect of father's education on child health is weaker. I/ 3. The UDHS found a negative relationship between women's education and fertility. There are two straightforward reasons for this. First, schooling delays the age at which Ugandan females have their first child delivery. Second, educated women are also more likely to use family planning methods, thus reducing the number of children. It is also possible that some effect of education on fertility may arise from increased earning capacity (and thereby higher "opportunity costs"), but this hypothesis has not been studied in Uganda. B. Present Status of Female Education Primary Education 4. Enrollment. Between 1980 and 1990 the number of girls enrolled at primary schools doubled, from 521,884 to 1,050,193. The ratio of girls' enrollment to boys' enrollment increased from 41 percent in 1980 to 45 percent in 1986, but since then has stabilized at about 45 percent (Annex Table 2). Girls' Gross Enrollment Ratio (GER) still remains only 63 percent in contrast to 79 percent for boys in 1990. The Net Enrollment Ratio (NER) is much lower, particularly for girls since in rural areas girls tend to delay schooling until the next sister is able to look after younger siblings. S. The average ratio of enrolled girls to enrolled boys for any region is positively correlated with the region's average household expenditure. For instance, in 1990 the girls' enrollment outnumbered that of boys in comparatively better-off Kampala and the Central Region, but in the Northern Region there were about 2 enrolled boys to every enrolled girl. It seems therefore reasonable to infer that girls' enrollment increases with household expenditure. Girls' enrollment may be lower, because, from the parents' perspective, the private economic return to girls' schooling may be lower and the opportunity costs higher I T. P. Schultz, "Returns to Women's Education", PHRWD Working Paper No. 001, (1989), p. 42. Z/ Abbly J. Nalwanga-Sabina and Edith R. Natukunda, Uganda Women's Needs Assessment Survey. 1988, pp. 103-104. Herz, B. et al. 1991. "Letting Girls Learn.* World Bank Discussion Paper No. 133. -101- Annex C Page 2 of 12 even though the direct costs are not. Parents prefer to educate sons than daughters, partly because sons have better employment opportunities and are expected to support parents as they get older. Also it has been shown that in Uganda, like in other agrarian countries, girls' economic contribution to the families is in general greater than boys. 4/ These factors may weigh heavier for poor families, since poor families rely more on each family member to contribute to the family's survival. 6. Wastage. The dropout rate is much higher for girls, as evidenced by the negative correlation between the ratio of girls enrolled to boys and the grade level. In 1990, for example, girls constituted 46 percent of students in the P1 grade, but only 38 percent of students in the P7 grade. 7. There is large regional disparity in girls' dropout rates. In 1990 the enrollment ratio of girls to boys dropped from .74 in P1 to .29 in P7 in the Northern Region, whereas in Kampala and the Western Region, girls' enrollment ratio did not decrease. Girls from poor families seem to stay at school for a shorter time than those from better-off families. In one survey, 80 percent of mothers having difficulty sending children to school cited school fees as a major problem. I/ To help keep girls in school in the Northern Region, the Northern Uganda Reconstruction Project (NURP) waives government fees for girls in primary school. 8. In addition to difficulties of financing, girls' higher dropout rate may be caused by early marriage and pregnancy. The Registration of Customary Marriage Decree which stipulates the minimum age of marriage as 16 for girls and 18 for boys is frequently violated, and pregnant girls are expelled from school. The custom of bride price which is not legal but a conventional requirement for marriage encourages early marri-ge. It also seems to demote a woman's status as she is treated as a husband's property. 9. Little gender disparity is observed in repetition rates, which are high for both boys and girls. In 1988, in government-aided schools the proportion of repeaters to total students (pseudo-repetition rate) is on average 17 percent for boys and 18 percent for girls. 10. Academic Achievement. The results of the Primary Leaving Examination (P.L.E.) determine the entrance to secondary education. Girls do also less well than boys in the P.L.E. in every subject except in English. 6/ Private school data shows that 8 percent of boys and 11 percent of girls failed; 17 percent of boys and 14 percent of girls achieved Division 1, the highest grade. Girls' heavier burden of household responsibilities takes away studying time and increases their absence throughout the school year, leading to poor performance. 11. Female Teachers. In 1990 there were 59,032 male and 25,117 female primary school teachers i.e. the ratio of females to males is .43. A larger proportion of female teachers are trained than male teachers: 69 percent for females and 57 percent for males. However, level I/ Nalwanga-Sebina and Natukunda, oR. cit., p. 29. 5/ Nalwanga-Sebina and Natukunda. ibid. 6/ UNICEF. 1989. Children and Women in Uianda. -102- Annex C Page 3 of 12 of training for female teachers is concentrated below Grade III Certification. 2/ For example, the ratio of females to males at Grade I Certification is .82, while .27 at Grade V Certification and .38 at Grade VI Certification. 12. The ratio of female to male teachers shows a large regional variation and parallels the enrollment ratio of girls to boys in a linear way. The regional variation in the male/female teacher ratio seems to confirm the World Bank study indicating that female teachers have a positive impact on girls' enrollment, but the correlation may be insignificant after controlling for regional income variable. I/ In Kampala female teachers outnumber male teachers; overall ratio of female to male teachers is 1.39. The Northern Region, which has the poorest representation of female teachers, shows the female/male teacher ratio of. 18. Furthermore, in the Northern Region, 5 out of the 9 districts do not have any teachers with Certificates above Grade III. In those districts with teachers above Grade III Certificates females are poorly represented; only I out of the 9 districts has female teachers. According to the 1989 data for government-aided schools, in all regions the proportion of female teachers is inversely related to age. Yet, the relationship between age and the teacher's certification grade is not known. 13. Female teachers, who represent about one third of the primary school teaching force, are not usually promoted to higher managerial levels, especially if they are not married. Single female teachers are likely to be fired if they become pregnant, whereas a male teacher is not held responsible for fathering a child outside marriage. 14. Curriculum and Textbook. In Uganda education is examination-oriented, and schools have a tendency to focus on the subjects covered in the certificate examinations, which are English, mathematics, science, and social studies. Agriculture is not taught in primary school and is only optional in secondary school, although 80% of the population earns its living in the agricultural sector. 15. The academic orientation of the curriculum may affect some parents' perceptions of the relevance of education for girls. 2/ However, studies in other countries have demonstrated that academic skills such as literacy and numeracy are associated with increased farm productivity. Considering that women account for 70% of the agricultural labor force in Uganda, it would be useful to include at least some instruction in agriculture in the curriculum at the upper primary level, not only for real benefits, but also to help redress the problem of parents' perceptions. 16. Gender stereotyping is embodied in the curriculum materials. For example, in social studies courses offered at the primary school level, all traditional heroes are men. 10/ 2/ Certification: Grades I and 11 have not completed secondary school but have been certified as competent teachers without receiving professional training. Grade III and above are professionally trained as teachers. To be promoted to next grade, additional experience and training are required. / Harz, B. ibid. 2/ A study found that children and parents considered the P.L.E. subjects, except for math, to be irrelevant to girls' future economic activities in rural areas. Parents also complained that primary educated girls lacked skills in agriculture. (Bitamazire, G. N. "A Study of the Occupational Activities of Female Primary School Leavers in Five Selected Villages in Mpigi District," Uganda, 1990.) 10/ Ministry of Women in Development. 1991. Report of the Convention on the Elimination of Discrimination against Women. -103- Annex C Page 4 of 12 Secondary Education 17. Enrollment. At the secondary school level low enrollment is a serious problem for both boys and girls, but more so for girls. In 1990 the GER in the lower secondary level, SI through S4, was 17 percent for boys and approximately 10 percent for girls; at the upper level, S5 to S6, it was 5.7 percent for boys and 2.1 percent for girls. Overall low enrollment is partly a supply problem. Since there are rot enough government-aided secondary schools, many students who pass the P.L.E. can not go on to further studies unless they can afford private school fees. 18. Gender parity worsens at more advanced level of education in a linear way. The ratio of girls to boys is .63 at the lower secondary level and .36 at the upper level of secondary school. Overall, the dropout rate is much lower at secondary school but is still higher for girls than for boys. Without exception, the ratio of girls to boys decreases as the grade level increases. 19. Differences in girls' and boys' participation at the secondary level across regions parallels those at the primary level, i.e. the larger the average household expenditure, the better girls are represented at secondary school. However, the degree of disparity is greater for secondary school. The girls/boys enrollment ratio in the Northern region is much less than half of that in the Central Region for both lower and upper level. It is interesting to note that the Central Region exceeds Kampala in the proportion of girls at secondary school. This seems to imply a large scale of migration of boys to Kampala for secondary schooling, boys being more likely to move than girls. In fact, the number of boys students enrolled for S1 in 1990 outnumbers the previous year's primary graduates for boys in Kampala. 20. Under-representation of Girls in Science Overall science students constitute only 22 percent of upper secondary school students. While the small proportion of science majors is a serious problem for both boys and girls, but it is worse for girls. In the whole country, only 1,348 girls are science majors constituting 18 percent of girls enrolled at an advanced level. The ratio of girls to boys among science majors is 26 percent, while 39 percent for non- science majors. This poor representation of girls is prevalent irrespective of region including Kampala. It leads to a smaller proportion of females in science oriented programmes in higher education. This under-representation in science may be caused by the cultural and economic constraints perceived by girls and their parents, such as implicit gender discrimination in the labor market, social attitudes, and the lack of role models. A study found that secondary school girls in Kampala are not provided any proper guidance or assistance for their study plans and careers. l/ 21. Female Teachers In 1990 there were 12,329 male teachers and 2,413 female teachers at the secondary level, i.e. females constituted about 20 percent of all teachers are female. The proportion of full time female teachers is higher than that of part-time (.23 versus .12). and higher proportion of female teachers are full-time. The proportion of female teachers has a huge regional variation. Overall, females are poorly represented in regions where girls' enrollment is low. This is similar to the prin.ary level with the extent of larger variation. However, it is interesting to note that the Central Region, with the highest girls' enrollment compared to that of boys, does not show the highest female/male teacher ratio due to their extreme concentration in Kampala. In Kampala, for instance, females constitute about 40 11 Kasante, D. 1983. "A Study of Social Development Guidance Needs for Adolescent Girls in Kampala Schools." -104- Annex C Page 5 of 12 percent of teachers, whereas constitute 19 percent in the Central Region and only 8 percent in the Northern Region. This is somewhat prot!ematic since female teachers have a strong impact on girls' enrollment at the secondary level according to the experience of other countries. 12/ C. Recommendations 22. The preceding analysis clearly illustrates that in Uganda parents have to pay for greater costs of girls' education but society reaps greater gains through externalities. The government should thus relax constraints on female participation in education and take .appropriate actions to improve it. It should be also noted that such policies should be devised reflecting the perspective of parents, who decide girls' education. 23. Among the important measures, as discussed in various chapters of the Main Report, that the Government can take to encourage universal enrollment in primary, and greater girls' participation at the secondary level, are to improve quality of education in schools, and abolish tuition fees at the primary level. The Government should also implement an effective family planning program so that girls' mothers can limit the number of children they have, and space them out over longer intervals. At the same time, the following recommendations should be considered: Allow girls who are mothers or pregnant to continue their education and return to school. Offer more flexible school schedules to help girls combine schooling with - chores. Enhance the perceived relevance of schooling such as including agriculture in the primary school curriculum. Introduce sex education into curriculum to reduce teen-age pregnancies. Remove sexual bias or sexual stereotyping in educational materials: Show women in nontraditional roles in tmxtbooks. Recruit more female teachers and give them equal promotion opportunities. Provide adequate educational guidance and counselling for careers in primary and secondary school. Examine the causes of girls' underrepresentation in science and take appropriate actions based on the findings. 24. It should be noted that economic and other social policies are also important as remedies to promote girls' education, complementing education policies. For instance, equal opportunity labor market policies will, by increasing women's earning capacity, raise in the economic returns to female education, and thus encourage parents to send their daughters to school. On the other hand, providing community child care facilities, improving the community's supplies of wood and water can help decrease the opportunity cost of school attendance. Finally, the experience of other countries suggests that single interventions are less effective than a Dackage ap2roach attacking multiple constraints, as has been successful in Korea, China and Sri Lanka. INl I/ Herz, B. et al. ibid. 13/ Herz, B. et al. ibid. -105- Annex C Page 6 of 12 ANNEX 1. PRIMARY SCHOOL ENROLLMENT RATIOS OF GIRLS TO BOYS BY GRADE AND DISTRICT DISTRICT Pi P2 P3 P4 P5 P6 P7 TOTAL Kamipala 1.06 1.01 1.09 1.16 1.18 1.17 1.11 1.10 Kampale 1.06 1.01 1.09 1.16 1.18 1.17 1.11 1.10 CentraL 0.99 1.01 1.01 1.03 1.05 1.09 1.02 1.02 Kakangala 0.99 0.73 1.01 1.04 1.09 0.90 1.25 0.96 Luwero 0.96 1.00 0.96 1.02 0.99 0.96 0.85 0.97 Masaka 1.02 1.05 1.10 1.05 1.14 1.12 1.09 1.07 Mpigi 1.03 1.07 1.08 1.10 1.16 1.25 1.19 1.10 Mubende 0.98 0.98 0.96 0.99 0.94 1.00 0.91 0.97 Mukono 0.97 0.96 0.98 1.00 1.03 1.08 0.93 0.99 Rakal 1.00 1.02 1.01 1.03 1.01 1.04 1.06 1.02 Eastern 0.87 0.83 0.80 0.78 0.77 0.73 0.61 0.79 Iganga 0.92 0.91 0.89 0.95 0.89 0.88 0.71 0.89 Jinja 0.97 0.97 1.02 0.93 1.04 1.02 0.90 0.98 Kamuti 0.86 0.86 0.88 0.86 0.84 0.81 0.61 0.83 Kapchorwa 0.88 0.89 0.82 0.79 0.76 0.79 0.56 0.79 Kumi 0.81 0.70 0.66 0.62 0.62 0.57 0.47 0.67 Mbate 0.94 0.94 0.89 0.90 0.87 0.87 0.78 0.90 Soroti 0.83 0.70 0.59 0.54 0.49 0.40 0.29 0.62 Tororo 0.82 0.80 0.78 0.76 0.76 0.71 0.58 0.76 Northern 0.74 0.65 0.60 0.52 0.49 0.42 0.29 0.58 Apac 0.86 0.76 0.70 0.58 0.53 0.49 0.32 0.64 Arue 0.68 0.59 0.55 0.49 0.46 0.39 0.24 0.54 Gutu 0.75 0.67 0.61 0.55 0.49 0.49 0.36 0.61 Kitgun 0.68 0.59 0.52 0.46 0.44 0.33 0.22 0.52 Kotido 0.63 0.53 0.52 0.42 0.45 0.34 0.39 0.52 Lira 0.82 0.70 0.62 0.51 0.53 0.42 0.31 0.59 Moroto 0.71 0.67 0.54 0.64 0.62 0.55 0.63 0.67 Moyo 0.77 0.68 0.66 0.55 0.52 0.40 0.29 0.61 Nebbi 0.72 0.65 0.63 0.56 0.44 0.42 0.32 0.60 Western 0.88 0.86 0.86 0.84 0.83 0.81 0.66 0.84 Bundibugy 0.83 0.76 0.71 0.68 0.64 0.46 0.40 0.70 Bushenyi 0.88 0.88 0.89 0.91 0.84 0.87 0.65 0.87 Hoima 0.90 0.87 0.90 0.90 0.90 0.92 0.86 0.89 Kabale 0.83 0.79 0.77 0.75 0.72 0.67 0.55 0.76 Kabarote 0.86 0.87 0.87 0.82 0.80 0.81 0.73 0.84 Kasese 0.84 0.82 0.83 0.79 0.74 0.71 0.53 0.78 Masindi 0.88 0.81 0.79 0.80 0.86 0.81 0.67 0.82 Mbarara 0.88 0.89 0.88 0.86 0.88 0.83 0.68 0.86 Rukungiri 0.95 0.95 0.95 0.90 0.91 0.86 0.68 0.91 TOTAL 0.86 0.83 0.81 0.79 0.78 0.74 0.61 0.80 Source: CalcuLated from MOE 1990 School Census. ANNEX 2. PERCENTAGE OF GIRLS AND STUDENT/TEACHER RATIO AT PRIAARY SCHOOL (goverrnent-aided schools) 80 81 82 84 85 86 87 89* 90* X of girLs 40.9 42.6 42.6 43.5 44 45 45 44.5 44.4 Teacher rati 34 35 36 34 35 33 34 28 27 Source: Planning Unit, Ministry of Education. 1988 * Calculated from MOE data. ANNEX 3. PSEUDO-REPETITION RATE* AT GOVERNMENT-AIDED PRIMARY SCHOOL BY GRADE AND DISTRICT: 1988 ............................................................................................................... ------------------------------------ BOYS GIRLS District p.1 p.2 p3 p.4 p.5 p.6 p.7 Total p.1 p.2 p3 p.4 p.5 p.6 p.7 Total Ka---p----a--0.12 ---0.13----0.15 ---0.14----0.13----0.1----0.04----0.13---0.13----0.11---0.1-----0.12----0.12---0.1-----0.03---0.12-- Kapala 0.12 0.13 0.15 0.14 0.13 0.14 0.04 0.13 0.13 0.11 0.14 0.12 0.12 0.14 0.03 0.12 Kampala 0.12 0.13 0.15 0.14 0.13 0.14 0.04 0.13 0.13 0.11 0.14 0.12 0.12 0.14 0.03 0.12 Central 0.23 0.18 0.17 0.15 0.14 0.13 0.07 0.17 0.22 0.17 0.16 0.14 0.13 0.13 0.06 0.16 Katangala 0.27 0.18 0.17 0.23 0.22 0.19 0.14 0.21 0.21 0.15 0.24 0.27 0.25 0.21 0.24 0.22 Luwero 0.23 0.19 0.18 0.15 0.12 0.15 0.05 .0.17 0.23 0.19 0.19 0.13 0.15 0.15 0.05 0.17 Masaka 0.21 0.17 0.16 0.14 0.16 0.11 0.08 0.16 0.19 0.16 0.16 0.14 0.13 0.11 0.06 0.15 Npigi 0.23 0.18 0.18 0.16 0.14 0.13 0.06 0.17 0.22 0.17 0.16 0.15 0.14 0.13 0.05 0.16 Mbende 0.23 0.17 0.18 0.14 0.13 0.12 0.07 0.17 0.23 0.18 0.19 0.15 0.15 0.15 0.06 0.18 Mukono 0.24 0.18 0.16 0.15 0.13 0.11 0.05 0.16 0.24 0.17 0.16 0.13 0.12 0.11 0.05 0.16 Rakai 0.21 0.19 0.17 0.15 0.15 0.13 0.08 0.17 0.19 0.15 0.14 0.13 0.11 0.12 0.08 0.14 Eastern 0.21 0.18 0.19 0.17 0.17 0.17 0.14 0.18 0.20 0.19 0.20 0.18 0.18 0.19 0.13 0.19 Iganga 0.22 0.19 0.19 0.17 0.15 0.17 0.10 0.18 0.21 0.19 0.20 0.17 0.17 0.16 0.09 0.18 Jinja 0.17 0.13 0.14 0.11 0.12 0.10 0.05 0.13 0.16 0.16 0.16 0.15 0.14 0.12 0.05 0.14 Kamnti 0.24 0.20 0.21 0.18 0.17 0.17 0.11 0.19 0.22 0.19 0.22 0.19 0.19 0.20 0.09 0.20 Kapchorwa 0.21 0.16 0.17 0.15 0.16 0.20 0.24 0.18 0.22 0.15 0.15 0.14 0.19 0.23 0.20 0.18 Kuni 0.20 0.19 0.20 0.21 0.20 0.22 0.21 0.20 0.19 0.22 0.20 0.23 0.22 0.28 0.22 0 21 Mbate 0.24 0.20 0.20 0.19 0.18 0.19 0.14 0.20 0.25 0.20 0.21 0.18 0.17 0.19 0.13 0.20 Soroti 0.19 0.16 0.17 0.17 0.16 0.18 0.19 0.17 0.18 0.17 0.20 0.18 0.19 0.24 C.17 0.18 0 Tororo 0.19 0.17 0.19 0.18 0.17 0.16 0.15 0.18 0.20 0.18 0.21 0.19 0.17 0.18 0.15 0.19 Northern 0.19 0.14 0.14 0.14 0.14 0.17 0.21 0.17 0.19 0.17 0.18 0.17 0.19 0.24 0.26 0-20 Apac 0.23 0.14 0.17 0.18 0.19 0.26 0.28 0.21 0.22 0.17 0.18 0.20 0.23 0.32 0.32 0.21 Arue 0.21 0.14 0.14 0.12 0.12 0.11 0.21 0.16 0.23 i.19 0.19 0.17 0.17 0.20 0.24 0.20 Gutu 0.13 0.14 0.14 0.14 0.13 0.14 0.16 0.14 0.16 0.19 0.18 0.18 0.18 0.20 0.26 0.18 Kitgum 0.17 0.13 0.15 0.16 0.15 0.16 0.21 0.16 0.16 0.16 0.20 0.17 0.21 0.22 0.28 0.17 Kotido 0.25 0.10 0.15 0.23 0.19 0.04 " 0.20 0.26 0.13 0.27 0.06 0.10 * * 0.20 Lira 0.21 0.16 0.15 0.16 0.16 0.22 0.24 0.19 0.20 0.17 0.18 0.19 0.23 0.26 0.26 0.20 Moroto 0.16 0.19 0.17 0.12 0.17 0.12 0.24 0.17 0.22 0.18 0.Zl 0.19 0.16 0.26 0.48 0.22 Moyo 0.12 0.14 0.11 0.09 0.09 0.11 0.13 0.11 0.14 0.13 0.14 0.12 0.13 0.15 0.09 0.14 Nebbi 0.17 0.13 0.11 0.09 0.07 0.07 0.12 0.12 0.17 0.13 0.12 0.12 0.11 0.12 0.13 0.14 Western 0.22 .0.17 0.16 0.14 0.13 0.13 0.13 0.16 0.22 0.17 0.16 0.15 0.14 0.16 0.12 0.17 Bundibugyo *0.18 0.12 0.11 0.09 0.07 0.06 0.02 0.11 0.19 0.15 0.13 0.09 0.10 0.06 0.01 0.13 Bushecyi 0.28 0.21 0.20 0.17 0.16 0.19 0.26 0.22 0.29 0.22 0.20 0.19 0.19 0.24 0.26 0.23 Holma 0.13 0.12 0.12 0.11 0.10 0.10 0.10 0.12 0.14 0.13 0.13 0.12 0.12 0.12 0.09 0.13 Kabate 0.23 : 0.16 0.15 0.12 0.10 0.09 0.11 0.16 0.24 0.18 0.14 0.12 0.11 0.13 0.09 0.17 Kaberole 0.20 0.16 0.14 0.14 0.12 0.11 0.08 0.15 0.19 0.16 0.15 0.13 0.12 0.13 0.04 0.15 Kasese 0.19 0.15 0.16 0.13 0.11 0.09 0.04 0.14 0.21 0.17 0.15 0.12 0.11 0.12 0.04 0.15 :3 : Masiodi 0.19 0.17 0.16 0.17 0.14 0.15 0.12 0.16 0.19 0.17 0.17 0.20 0.14 0.15 0.10 0.17 M M Mbarara 0.24 0.18 0.16 0.15 0.13 0.12 0.12 0.17 0.26 0.19 0.17 0.14 0.14 0.15 0.11 0.18 4 X Rukuogiri 0.26 0.22 0.20 0.18 0.17 0.17 0.17 0.21 0.26 0.20 0.19 0.17 0.17 0.18 0.15 0.20 on Total 0.21 0.17 0.16 0.15 0.14 0.15 0.15 0.17 0.21 0.17 0.18 0.16 0.15 0.17 0.12 0.18 Source: Claculated from MOE 1988 data. number of pupils repeating grade g in year 1988 Definition: pseudo-repetition rate .. number.of.pupils.in.grade.g.in.1988 number of puills in grade g in 1988 SThe number of students reported is zero. -107- Annex C Page 8 of 12 ANNEX 4. RESULTS OF THE 1988 P.L.E. (government-aided school) Total % % District Division 1 Fail Applicants Division 1 Fait Kamp.ala 1851 190 4839 0.38 0.04 Kampala 1851 190 4839 0.38 0.04 Central 14410 22914 146735 0.10 0.16 Katangata .0 26 89 0.00 0.29 Luwero 305 243 2282 0.13 0.11 Masaka 480 497 4145 0.12 0.12 Mpigi 1769 680 8717 0.20 0.08 Mubende 224 821 3610 0.06 0.23 Mukono 1451 403 6062 0.24 0.07 Rakai 303 184 2642 0.11 0.07 Eastern 2953 5782 35724 0.08 0.16 Iganga 385 1417 6556 0.06 0.22 Jinja 358 385 2991 0.12 0.13 Kamu il 298 601 3454 0.09 0.17 Kapchorwa 188 134 1439 0.13 0.09 Kumi 121 97 1121 0.11 0.09 MbaLe 944 895 8255 0.11 0.11 Soroti 326 305 2489 0.13 0.12 Tororo 333 1948 9419 0.04 0.21 Northern 1986 4248 23870 0.08 0.18 Apac 311 1191 5110 0.06 0.23 Arua 735 600 6047 0.12 0.10 Gutu 313 430 3249 0.10 0.13 Kitgum 117 85 715 0.16 0.12 Kotido 2 1 23 0.09 0.04 Lira 255 1216 4839 0.05 0.25 Moroto 35 16 276 0.13 0.06 Moyo 14 255 913 0.02 0.28 Nebbi 204 454 2698 0.08 0.17 Western 2918 6408 37511 0.08 0.17 8undibugyo 16 39 650 0.02 0.06 Bushenyi 188 2149 7933 0.02 0.27 Hoima 697 97 2805 0.25 0.03 Kabale 260 728 4879 0.05 0.15 Kabarole 571 237 4453 0.13 0.05 Kasese 309 44 2211 0.14 0.02 Masindi 377 134 1907 0.20 0.07 Mbarara 358 1654 7719 0.05 0.21 Rukungiri 142 1326 4954 0.03 0.27 Total 22267 39352 243840 0.09 0.16 Source: Calculated from 1988 MOE data. ANNEX 5. RESULTS OF THE 1988 P.L.E.: Private school Total % X Division Div.1 Fail Applicants Division 1 Fail Boys 212 100 1282 0.05 0.08 Girls 107 79 748 0.03 0.11 total 319 179 2030 0.03 0.09 Source: Calculated from 1988 MOE data. -108- Annex C Page 9 of 12 ANNEX 6. PRIMARY SCHOOL FEMALE/MALE TEACHERS RATIO BY GRADE AND DISTRICT, 1990 DISTRICT 61 G2 03 G4 GS G6 LI UT TOTAL Kampala 1.00 3.37 1.32 1.83 0.64 0.46 1.24 0.56 1.39 KampaLa 1.00 3.37 1.32 1.83 0.64 0.46 1.24 0.56 1.39 Central 1.14 1.21 0.63 0.22 0.25 0.67 0.65 0.61 0.67 Katangata 0.00 1.25 0.31 * * 0.67 1.67 0.89 Luwero 0.59 0.89 0.48 0.00 0.20 * 0.54 0.56 0.56 Masaka 2.70 2.02 0.88 0.75 0.13 1.00 0.66 0.71 0.90 Mpigi 1.41 1.48 0.77 0.25 0.50 0.50 0.91 0.74 0.85 Mubende 0.43 0.62 0.43 0.00 0.06 0.00 0.40 0.56 0.51 Mukono 1.43 1.16 0.63 0.00 0.13 0.50 0.56 0.58 0.63 Rakaf 1.11 0.77 0.33 * 0.50 0.00 0.80 0.55 0.55 Eastern 0.71 0.66 0.54 0.14 0.21 0.50 0.29 0.25 0.41 Iganga 0.63 0.60 0.49 0.14 0.50 0.40 0.34 0.36 0.42 Jinja 1.00 1.70 1.09 0.00 0.31 0.00 0.51 0.75 0.93 Kamutf 0.62 0.68 0.40 0.00 0.08 0.50 0.50 0.38 0.41 Kapchorwa 0.00 0.50 0.42 0.00 * * 0.35 0.21 0.34 Kuni 1.43 0.52 0.40 * 0.00 * 0.05 0.12 0.32 Mbate 1.48 0.87 0.74 0.20 0.25 1.00 0.26 0.26 0.52 Soroti 0.08 0.32 0.35 0.00 0.00 * 0.03 0.13 0.22 Tororo 0.49 0.68 0.46 0.25 0.13 1.00 0.23 0.20 0.37 Northern 0.83 0.36 0.22 0.44 0.33 0.39 0.14 0.10 0.18 Apac 1.14 0.31 0.16 0.00 * 0.18 0.16 0.00 0.09 Arua 0.27 0.36 0.35 0.00 0.00 1.00 0.13 0.18 0.25 Gutu 4.75 0.39 0.36 0.00 * * 0.20 0.13 0.29 Kitgum 0.55 0.41 0.17 * 0.00 * 0.19 0.14 0.18 Kotido 0.13 0.18 0.14 * * * 0.11 0.12 0.13 Lira 2.40 0.53 0.17 * * * 0.09 0.12 0.18 Moroto * 0.61 0.50 * * * 0.19 0.07 0.35 Moyo 0.64 0.35 0.29 * * 0.33 0.14 0.14 0.23 Nebbi 1.00 0.30 0.21 0.50 0.00 * 0.13 0.12 0.17 Western 0.63 0.54 0.54 0.44 0.10 0.24 0.36 0.30 0.41 Bundibugyo 0.33 0.22 0.11 * * * * 0.14 0.14 Busheni 0.56 0.48 0.55 0.00 0.00 0.00 G.33 0.34 0.46 Hoima 0.79 0.31 0.48 0.40 0.00 0.43 0.35 0.34 0.37 Kabate 0.63 0.53 0.47 0.00 0.33 1.00 0.16 0.20 0.35 Kabarole 0.67 0.65 0.74 0.00 0.00 0.00 0.29 0.36 0.50 Kasese 0.00 0.60 0.52 1.00 0.33 0.00 0.26 0.22 0.32 Masindi 1.50 0.67 0.61 4.00 0.00 0.00 0.57 -.40 0.50 Mbarara 0.52 0.57 0.57 1.00 0.00 0.26 0.42 t.31 0.45 Rukungiri 0.38 0.58 0.49 * 0.00 0.14 0.30 0.22 0.41 TOTAL 0.82 0.67 0.51 0.40 0.27 0.38 0.37 0.31 0.43 Source : CaLculated from MOE 1990 Schoo Census * The number of male or/and female teachers is zero. -109- Annex C Page 1 of 12 ANNEX 7. PROPORTION OF FEMALE TEACHERS BY AGE, 1939 (govt-aided primary) femaLe/total District <2O 20-24 25-29 30-39 40-49 50-59 >55 Total Kampala 0.84 0.72 0.52 0.48 0.70 0. 1 0.53 0.76 Kampala 0.84 0.72 0.52 0.48 0.70 0.51 0.53 0.76 Central 0.63 0.50 0.39 0.29 0.24 0.29 0.24 0.51 KaLangata 1.00 0.54 0.53 0.25 0.18 0.40 0.00 0.58 Luwero 0.73 0.52. 0.31 0.31 0.13 0.22 0.25 0.46 Masaka 0.69 0.50 0.47 0.31 0.28 0.35 0.32 0.56 Mpigi 0.61 0.54 0.43 0.33 0.31 0.33 0.25 0.55 Mubende 0.60 0.45 0.35 0.25 0.19 0.21 0.11 0 45 Mukono 0.59 0.51 0.36 0.29 0.22 0.34 0.33 0.51 Rakai 0.63 0.42 0.35 0.26 0.22 0.17 0.15 0.45 Eastern 0.59 0.41 0.31 0.22 0.19 0.19 0.10 0.40 Iganga 0.64 0.39 0.34 0.22 0.16 0.17 0.06 0.39 Jinja 0.53 0.57 0.48 0.35 0.32 0.21 0.00 0.59 KamuLi 0.64 0.40 0.26 0.21 0.16 0.12 0.11 0.37 Kapchorwa 0.67 0.42 0.24 0.20 0.11 0.45 0.00 0.37 Kumi 0.57 0.45 0.28 0.20 0.13 0.14 0.07 0.33 Mbate 0.81 0.48 0.37 0.27 0.29 0.38 0.15 0.51 Soroti 0.20 0.27 0.17 0.15 0..4 0.10 0.07 0.24 Tororo 0.49 0.38 0.31 0.22 0.0 0.15 0.10 0.40 Northern 0.36 0.26 0.19 0.15 0.19 0.14 0.08 0.29 Apac 0.71 0.23 0.16 0.10 0.15 0.17 0.00 0.23 Arua 0.17 0.27 0.21 0.16 0.19 0.11 0.09 0.31 GuLu 0.47 0.33 0.24 0.28 0.15 0.06 0.49 Kitgum 0.60 0.27 0.14 0.13 0.16 0.07 0.03 0.24 Kotido * 0.00 0.07 0.00 0.00 0.00 0.00 0.04 Lira 0.33 0.26 0.16 0.14 0.15 0.09 0.10 0.26 Moroto 1.00 0.55 0.26 0.17 0.09 0.00 0.33 0.40 Moyo 0.00 0.13 0.17 0.15 0.33 0.41 0.23 0.36 Nebbi 0.38 0.18 0.13 0.10 0.14 0.18 0.08 0.19 Western 0.56 0.40 0.29 0.19 0.19 0.14 0.10 0.39 Bundibugyo 0.18 0.21 0.13 0.06 0.07 0.09 0.00 0.17 Bushenyi 0.75 0.50 0.36 0.19 0.11 0.08 0.08 0.47 Hoima 0.54 0.32 0.24 0.18 0.15 0.15 0.09 0.33 KabaLe 0.46 0.33 0.28 0.18 0.20 0.14 0.08 0.35 KabaroLe 0.57 0.45 0.33 0.25 0.29 0.18 0.20 0.44 Kasese 0.44 0.29 0.20 0.17 0.16 0.20 0.00 0.29 Masindi 0.52 0.47 0.29 0.21 0.30 0.15 0.07 0.42 Mbarara 0.71 0.46 0.29 0.19 0.19 0.13 0.06 0.41 Rukungiri 0.35 0.46 0.33 0.21 0.15 0.14 0.03 0.42 Total 0.59 0.43 0.31 0.22 0.21 0.19 0.12 0.42 Source: CLaculated from 1989 MOE data. * The number of teachers is zero. ANNEX 8. THE RATIO OF GIRLS TO BOYS AT SECONDARY LEVEL, 1990 Total* Totat* Total* Totat* Total' District S1 S2 S3 S4 Lower Lev S5 SC5* S5 S6 SC6* S6 S5+S6 SC5+SC6 Upper Lev Secondary S----------------------------------------------------------------------------------------------------- --------------------- Kampala 0.93 0.84 0.77 0.70 0.81 0.49 0.28 0.43 0.44 0.34 0.41 0.46 0.31 0.42 0.71 Kaqmtla 0.93 0.84 0.77 0.70 0.81 0.49 0.28 0.43 0.44 0.34 0.41 0.46 0.31 0.42 0.71 Central 1.02 1.00 0.94 0.87 0.97 0.88 0.40 0.76 0.59 0.30 0.52 0.72 0.35 0.63 0.93 Kaiangata 1.43 0.47 0.71 0.23 0.71 ' " * ** * * * * Lumero 0.62 0.74 0.87 0.59 0.71 0.71 0.29 0.62 0.58 0.00 0.49 0.64 0.16 0.55 0.70 Masaka 0.90 1.07 0.90 0.84 0.93 0.65 0.27 .0.55 0.27 0.34 0.28 0.42 0.30 0.40 0.87 mpigi 1.24 1.18 1.09 1.12 1.17 1.24 0.70 1.08 0.89 0.43 0.75 1.05 0.56 0.9 1.13 MtHende 0.91 0.73 0.67 0.71 0.76 0.57 0.10 0.49 0.22 0.09 0.20 0.38 0.10 0.34 0.73 Mukono 1.01 0.95 0.84 0.74 0.90 0.73 0.13 0.60 0.57 0.15 0.47 0.65 0.14 0.53 0.86 Rakel 1.12 1.22 1.35 1.00 1.18 1.17 0.42 0.87 1.05 0.53 0.89 1.12 0.46 0.88 1.16 Eastern 0.62 0.58 0.56 0.52 0.58 0.33 0.26 0.31 0.30 0.20 0.28 0.32 0.23 0.30 0.54 Iyanga 0.80 0.72 0.75 0.67 0.74 0.77 2.61 1.12 0.86 1.88 1.06 0.82 2.20 1.09 0.77 Jinja 0.65 0.56 0.50 0.46 0.54 0.40 0.12 0.33 0.26 0.12 0.22 0.32 0.12 0.27 0.48 Kamuti 0.63 0.62 0.66 0.62 0.63 0.69 1.05 0.73 0.63 0.00 0.55 0.66 0.53 0.64 0.63 Kapchorwa 0.61 0.42 0.41 0.43 0.48 0.24 0.00 0.18 0.14 0.00 0.11 0.19 0.00 0.15 0.45 Kuni 0.59 0.58 0.58 0.49 0.56 0.23 0.00 0.19 0.26 0.14 0.23 0.25 0.10 0.22 0.53 Mbete 0.72 0.70 0.64 0.63 0.68 0.35 0.10 0.31 0.32 0.16 0.29 0.34 0.13 0.30 0.63 Soroti 0.35 0.43 0.48 0.32 0.39 0.15 0.08 0.13 0.13 0.04 0.10 0.14 0.06 0.12 0.36 Tororo 0.55 0.52 0.46 0.47 0.50 0.17 0.13 0.16 0.18 0.08 0.16 0.18 0.10 0.16 0.45 Northern 0.38 0.36 0.30 0.28 0.33 0.25 0.23 0.24 0.29 0.22 0.27 0.27 0.23 0.26 0.32 Apac 0.47 0.43 0.20 0.32 0.33 0.20 0.11 0.19 0.26 " 0.26 0.23 0.11 0.22 0.33 Arua 0.41 0.36 0.34 0.32 0.36 0.28 0.02 0.22 0.37 0.06 0.29 0.32 0.04 0.25 0.35 Gulu 0.30 0.35 0.34 0.25 0.32 0.14 0.10 0.13 0.20 0.17 0.19 0.17 0.12 0.13 0.30 Kitsta 0.42 0.28 0.36 0.26 0.34 0.06 0.08 0.07 0.11 0.04 0.10 0.09 0.05 0.09 0.32 Kotido 0.33 0.10 0.18 0.22 0.21 0.03 0.08 0.04 " " " 0.03 0.08 0.04 0.19 Lira 0.27 0.28 0.24 0.19 0.24 0.17 0.12 0.15 0.26 0.08 0.21 0.22 0.10 0.18 0.24 Moroto 0.36 0.50 0.62 0.37 0.46 0.78 0.00 0.54 0.18 0.00 0.14 0.46 0.00 0.34 0.44 Moyo 0.35 0.37 0.27 0.29 0.33 0.30 " 0.30 0.30 " 0.30 0.30 " 0.30 0.33 Nebbi 0.63 0.55 0.59 0.50 0.58 0.69 0.89 0.78 0.67 0.85 0.75 0.68 0.87 0.76 0.60 Western 0.64 0.62 0.57 0.50 0.59 0.32 0.25 0.30 0.32 0.18 0.30 0.32 0.22 0.30 0.55 Bundibugyo 0.38 0.44 0.34 0.28 0.37 0.10 0.06 0.09 0.09 0.11 0.09 0.09 0.08 0.09 0.35 Bushenyi -0.64 0.61 0.56 0.49 0.58 0.34 0.33 0.34 0.32 0.11 0.30 0.33 0.24 0.32 0.54 Holma 0.71 0.74 0.72 0.69 0.72 0.66 1.33 0.69 0.39 0.10 0.33 0.49 0.25 0.46 0.70 Kabale 0.43 0.39 0.39 0.29 0.38 0.21 0.10 0.18 0.29 0.07 0.25 0.25 0.08 0.21 0.36 Kabarole 0.71 0.79 0.66 0.58 0.69 0.28 0.11 0.24 0.26 0.10 0.23 0.27 0.11 0.23 0.63 Kasese 0.57 0.57 0.45 0.36 0.50 0.30 0.29 0.29 0.25 0.38 0.26 0.27 0.32 0.28 0.49 Masindi 0.71 0.51 0.54 0.47 0.57 0.26 0.00 0.22 0.16 0.05 0.14 0.21 0.02 0.18 0.51 Mbarara 0.64 0.61 0.55 0.51 0.58 0.31 0.26 0.30 0.29 0.21 0.27 0.30 0.24 0.29 0.54 Rukungiri 0.84 0.82 0.74 0.66 0.77 0.61 1.30 0.72 0.67 0.71 0.68 0.65 0.92 0.70 0.76 Total 0.67 0.64 0.59 0.54 0.62 0.41 0.27 0.38 0.37 0.25 0.34 0.39 0.26 0.36 0.58 0 Source: calculated from 1990 MOE School Census. * definition: S5/S6: non-science S5/S6 SC5/SC6: science S5/S6 Total SS = S5 + S5 Total S6 = S6 + S6 Total Lower Lev = S1+S2+S3+S4 Total Upper tev = Total 55 + Total S6 Total Upper Lev = Total Upper Level + Total Lower Level - The nuinber of girls and/or boys is ,o. -111- Annex C Page 12 of 12 ANNEX 9. FEMALE/MALE TEACHERS RATIO BY TYPE OF W0RK AND DISTRICE, secondary school, 1990 DISTRICT FULL TIME PART TIE TOTAL ......................................................................... Kampala 0.78 0.23 0.63 Kapata U.'8 0.23 0.63 Central 0.28 0.12 0.23 Katangata 0.13 * 0.13 Luwero 0.21 0.09 0.17 Masaka 5.12 2.81 4.30 Mpigi 0.47 0.19 0.38 Nubende 0.16 0.07 0.14 Mukono 3.99 2.23 3.3? Rakal 0.20 0.06 0.15 Eastern 0.23 0.11 0.19 Iganga 0.06 0.15 0.08 Jinja 0.4? 0.14 0.41 Kamuti 0.14 0.10 0.13 Kapchorwa 2.89 1.66 2.42 Kumi 0.12 0.13 0.12 Mbate 0.25 0.19 0.23 Soroti 2.03 1.18 1.72 Tororo 0.34 0.06 0.2' Northern 0.10 0.07 0.09 Apac 0.06 0.04 0.05 Arua 0.12 0.08 0.10 GuLu 0.12 0.07 0.10 Kftgun 1.29 0.87 1.17 Kotdo 0.11 0.00 0.07 Lira 0.08 0.04 0.08 Moroto 0.70 0.49 0.64 moyo 0.21 0.17 0.20 Nebbi 0.03 0.07 0.04 Western 0.15 0.11 0.14 Bundibuqyo 0.04 0.00 0.03 Bushenf 0.18 0.08 0.15 Hoima 0.09 0.06 0.08 Kabate 1.42 1.27 1.36 KabaroLe 0.15 0.08 0.12 Kasese 0.11 0.24 0.13 Masindi 0.58 0.48 0.56 Mbarara 0.22 0.14 0.21 Rukungiri 0.13 0.22 0.16 TOTAL 0.23 0.12 0.19 Source : Calculated from 1990 MOE Secondary School Census. -112- Annex D Page 1 of 2 Figure 2.1 Total fertility rate (women 15-44) 0-2 years prior to !he survey, Demographic and Healt i Surveys, 1986-1989 Thailand Sri Lanka \ Indonesia ' Trin. & Tob. Colombia Brazil Dominican Rep. Mexico Peru Ecuador Tunisia Morocco Egypt Botswana Bolivia I Zimbabwe Guatemala Ghana To go Senegal Liberia Kenya Burundi Mali Uganda___________________________ 0 2 4 6 8 10 Total Fertility Rate Region Asia Latin America Africa (sub-Saharan) North Africa -113- Annex D Page 2 of 2 Figure 5.1 Percentage of married women 15-49 who are currently using modem and traditional methods of family planning. Demo. graphic and Health Surveys, 1986-1989 Thailand Brazil Colombia Sri Lanka Mexico Trin. & Tobago Dom. Republic Tunisia Indonesia Peru Ecuador Zimbabwe Egypt E B Morocco M N To go Botswana Bolivia Kenya Guatemala i Ghana Senega: Burundi Liberia Uganda Mali 0 25 50 75 Modern Traditional SECTION -4: EDUCATION PmAr B: CUFENT 8CHOOLIE (All Pesne of age 30 and under) ID Current If n nr If__neded rer If currently attending Type oi Distance During last 30 echooling days No. ,choolIng atended Months Paons for during last 12 months school of school No. of Reasons status & reasons before dropping out No. of terms Reasons currently fron days (code) Leve atended missed attending residence (km) mised () (2) () (4) (a)(6 (7) ()(9) (10) (1 ___ ___ _ ___ __ __ ___ __OQ .0 ø? m Q _____ _ __ ___ _ ____ _ ___ ____MaQ 0- (Dt -11111511111111 e1111 |||||||||||||||||||||||| IIIIIIIIII lonire GillPagel2loli4 ti l i l l l l- - - - - - - - - - - - - - - - - - --i !iUll li ll-l--l-ll-- ---- ---- ---- --- IIIIIIIIIII -116- AnneX E Integrated Survey Questionnaire Page 3 of 4 __ _ _ __ _-AR. ~1 I ~L-J SECT10N 6 : ÆALIT PAIr B : FERY, MOT RCAfE AND> FAMILY P.ANNING QM>men 10 Yas and above) ID NU~mbr of Mkths Number of a44 chldron Dudng ast 12 mo Family planbg No. ToWa Ijw- Ljue- Progn. Pre-natal Post-ta Cost of Cost ot Status Rsone Age girls bøye Girls Boye Total status caretatu carc sta*" pre-atal post- wor not care__ natal care pr___andsing 644 SEC ON6: ~IEALTH PARf C : VACCINATM ~IN $v frqnojy )__ g) lreso for No. a e Vaccna nnats sAOI> bith ae ~ ~_ Vainalon status durng Lat 12 mantha Vaocination not (months) DU. PL0 MEAO m0 OTHERS OPT POLIO MEAS BG OTHES sourm Cost Vaccnating 1) (2) (3) (4) (6) (0) (7) (8 (9 (to) (1) ( ( <14) (15) ID 1,19 -118- Annex E Community Survey Questionnaire SECTION 9 : SOCIAL INFRASTRUCTURE - EDUCATION Page 1 of 2 (To be answered by one male and female community leader PART A : LITERACY PROGRAM Sr.No. Item Code Notes Codes for items (1) and (2): (1) (2) (3) Yes in the RC1 - 1, Not in the RC1 but within 3 Kms - 2; Beyond 1 Literacy programme for men 3 Kms - 3. 2 Literacy programme for women 3 Expenses per year in shillings SECTION 9 : SOCIAL INFRASTRUCTURE - EDUCATION PART 8 : PRIMARY SCHOOL EDUCATION 1. Which are the three primary schools from the RC1? Sr.No. Name Distance(Km) Time taken to reach (minutes) (1) (2) (3) (4) 1.1 1.2 1.3 2. Classify by degree of importance the reasons for some children not enrolled in school Sr.No. Reason Code-list Primary school 1 2 3 (1) (2) (3) (4) (5) (6) .2.1 School too far away 2.2 Official school fees too high 2.3 PTA fees too high Very import- tant - 1 2.4 Text books and other expenses too high Important -2 2.5 Children needed at home for work Not'import- 2.6 Too few teachers and too many students 2.7 Lack of text books 2.8 Lack of proper building 2.9 Other reasons (Specify) (i) 0ii) -119- Annex E Community Survey Questionnaire SECTION 9 : SOCIAL INFRASTRUCTURE - EDUCATION AND CHILD-CARE Page 2 of 2 PART C CHILD CARE 1. Is there a Nursery/K.G school or a child-care unit in the RC1? Yes - 1; No - 2. 2. Common weaning age of the children (in months) 3. Number of meals commonly served to adults in the community --- 4. Nymber of extra meals served to children I-- SECTION 10 : SOCIAL INFRASTRUCTURE - HEALTH (To be an& sered by one male and female leader) PART A HEALTH SERVICES Sr. Health Services Availabi- Owner- Dist. Trans- Initial Notes: No. lity ship Kms. port consult- Availability code (code) (code) costs tion fees Yes in RC1 - 1; Not in RCI but in 1) (2) district - 2; Not - Ho l -even in district 1 Hospital .- 3. - - --Ownership code 2 Health-clinic Government i- 1; International N.G. 3 Maternity clinic - 2; Local non- Profit Institution 4 Doctor or N.G.0 - 3; - Private 4.. 5 Traditional doctor 6 Pharmacy 7 Qualified nurse/midwife 8 Traditional midwife 9 Others SECTION - 10 SOCIAL INFRASTRUCTURE - HEALTH PART 8 : REASONS FOR NOT USING HEALTH CLINIC Sr.No. Reasons Importance Code (1) (2) (3) 1 Clinic too far away Notes (1) If some families are not using the 2 Consultation fees too high Health clinic, the importance of reasons are to be coded according to 3 Lack of necessary drugs the following codes: Very important - 1 4 Drugs very costly Important - 2 Not important - 3 5 Staff rude A Staff normally not present -120- Annex F BIBLIOGRAPHY Page 1 of 2 MATERIALS ON UGANDA Population and Family Planning Ministry of Health and Institute for Resource Development, Uganda Demographic and Health Survey 1988/89 (1989) Eastern Africa Department, the World Bank, "Uganda: the Economic Impact of AIDS" (draft, 1991) William K.A. Agyei and Elsbeth J. Epema, "Sexual Behavior and Contraceptive Use Among 15- 24 Year Olds in Uganda", International Family Planning Perspectives, v. 18, March 1992, p. 13-17. Education Ministry of Education, Report of the Education Policy Review Commission (1989) Ministry of Education, Five Year Investment Program (1991) Uganda Capacity Building Secretariat, "Strengthening the Policy Environment for Investment in University Development in Uganda" (1992) Eastern Africa Department, the World Bank, "Staff Appraisal Report: Uganda Education Reconstruction and Development Project" (draft, 1992) Health Ministry of Health, "Three Year Health Plan: 02 Draft" (draft, March 1992) Ministry of Health, National Health Personnel Study (1991) Nutrition Charles Teller, "Nutrition Situation and Program Assessment" (1989) Women in Development Abby J. Nalwanga-Sebina and Edith R. Natukunda, Uganda Women's Needs Assessment Survey 198 UNICEF, Children and Women in Uganda: a Situational Analysis Other Eastern Africa Department, World Bank, "Uganda: Agriculture Sector Memorandum" (draft, 1992) Eastern Africa Department, World Bank, Public Choices for Private Initiatives: Prioritizing Public Expenditures for Sustainable and Equitable Growth in Uganda (1991) Eastern Africa Department, World Bank, "Uganda: District Management Study" (draft, 1992) Eastern Africa Department, World Bank, "Uganda: Managing Public Expenditure" (draft, 1992) -121- Annex F GENERAL MATERIALS Page 2 of 2 Population and Family Planning Institute for Resource Development, DHS Comparative Studies: No. 2, Fertility Levels and Trends (1990) No. 3, Reproductive Preferences (1991) No. 5, Unmet Need and the Demand for Family Planning (1991) No. 6, Knowledge and Use of Contraception (1991) World Bank, "Effective Family Planning Programs" (draft, 1992) Nancy Birdsall and Charles C. Griffin, "Fertility and Poverty in Developing Countries", Journal of Policy Modeling (1988), v. 10, pages 29-56. Susan Cochrane, Valerie Kozel, and Harold Alderman, Household Consequences of High Fertility in Pakistan, World Bank Discussion Paper No. 111 (1990) Susan Cochrane and others, "The Economics of Family Planning" (World Bank, draft, 1990) Education Marlaine Lockheed and Adrian Verspoor, Improving Primary Education in Developing Countries (World Bank, 1991) World Bank, Primary Education: a World Bank Policy Paper (1990) World Bank, Vocational and Technical Education and Training: a World Bank Policy Paper (1991) Barbara Herz and others, Letting Girls Learn: Promising Approaches in Primary and Secondary Education, World Bank Discussion Paper No. 133 (1991) Health World Bank, Financing Health Services in Developing Countries, an Agenda for Reform (197) Charles C. Griffin, User Charges for Health Care in Principle and Practice, World Bank Economic Development Institute Seminar Paper No. 37 (1988) Bernhard H. Liese, Paranjit S. Sachdeva, and D. Glynn Cochrane, Organizing and Managing Tropical Disease Control Programs: Lessons of Success, World Bank Technical Paper No. 159 (1991) Other World Bank, Sub-Saharan Africa: From Crisis to Sustainable Growth: a Long-term Perspectives SUdy (1989) -122- Annex G Page 1 of 6 PLANNING AND . MINISTBY. OE EDUCATION' STATISTIC UNIT P.O. Box 7.063,KAMPAA FORM A: STATIST FOR PRIMARY SCHOOLS - 1990 (Leave blanky Notes: 1) Provide all information as on June 30. 1990 unless otherwise stated. 2) Read all instructions for this form before supplying any information. 3) Ensure completeness and accuracy of information and totals. 4) Send two copies to your DE0/vIEO before August 15, 1990. 1. School Particulars: 1. 1 Names of the School 1.2 Postal Address 1.3 District County Sub-county 1.4 Type: (a) Government Aided/Private (b) Boys/Girls/Mixed 1.5 Foundation Body: 2. Enrollment by sex and number of streams by class: Enrollment by Sex P1 P2 P3 P4 P5 P6 P7 Total Sex and Class Male Female Total Number of Streams 3. Number of special students by category, sex and class: Category Sex P1 P2 P3 P4 PS P6 P7 Total Repeaters (those in Male the same class in 19O9O)Female Transfers from Male private primary Anni,Female Child. of teachers Male in Govt. Aided SChnnMe Female Handicapped Male (blind/deaf/dumb/ manliv1Female Orphans Male Female Refugees Male Female Children of NRA Male Soldiers 4. Enrollment by age, class and sex: Age in Pl P2 P3 P4 P5 P6 P7 Total Years - _ - _ _ Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Up to 6 7 8 9 10 11 12 13 14 15 16 Over 16 Total 5. If the school has some classes which are not yet supported by the Government, 0 (a) List such classes: and provide (b) Number of students in such classes: Male Female Total -124- Annex G Page 3 of 6 6. Number of Established Posts of Teachers 7. Full-Time and Part-Time Teachers in Position & Periods taught by them: Item Full-time Part-time Male Female Male Female Teachers in position Periods taught/week 8. Full-Time Teachers by Training, Qualification and Sex: Sex Grade Tr. Sub- Untrained Total Grad. Total I II 111 IV V Lic. Oth.* Male Female Total 9. Full-Time Teachers by Academic Qualifications: Training Sex Below Passed S1-S3 Pass U.A.C.E. Grad. Total P7 * P7* S4* Trained Male Female Untrained Male Female 10. Full-Time Teachers by Sex and Age-group: ge (in years) up o 20 20-24 25-29 30-39 40-49 50-54 55 or Total more Sex Male Female Total 11. Full-Time non-teaching staff by category and sex: Sex Office/clerks Technical Group Employ. Male Female Total -125- Annex G Page 4 of 6 12. School Receipts and Expenditure for the year 1989/90: 12.1 Amount received from MOE for teachers' salaries Shs 12.2 Amount received from MOE for other salaries/wages Shs 12.3 Any other grant received from MOE -Shs Purpose 12.4 Fees excluding PTA contribution received from students/parents Shs 12.5 Total PTA contribution Shs 12.6 Amount realized from fund-raising activities/donations Shs 12.7 Annual rates of PTA contribution per pupil by class: PTA Rate in P1 P2 P3 P4 PS P6 P7 1990 1989 12.8 Total expenditure in 1989/90 from Government funds on: (a) Salaries/allowances of full-time teachers Shs (b) Salaries/allowances of part-time teachers Shs (c) Salaries/wages/allowances of other staff Shs (d) Other items of recurrent nature Shs Total Shs '2.9 Recurrent expenditure incurred in 1989/90 from PTA funds on: (a) Full-time teachers' salaries/allowances Shs (b) Part-time teachers' allowances Shs (c) Salaries/wages/allowances of other full-time staff Shs (d) Salaries/wages/allowances of other part-time staff Shs (e) Instruction material (chalk/books/stationery/etc.) Shs (f) Non-instructional material (uniforms, etc.) Shs (g) Electricity, water, telephone Shs (h) Food for staff/students Shs (i) Other items in the kitchen (firewood/cleaning, etc.) Shs (j) Transportation of staff/students/goods Shs (k) Other (specify ) Shs Total 12.9 (a) to (k) . Shs i2.10 Development/capital expenditure incurred in 1989/90 on: (a) Construction of - Shs (b) Major repairs/alterations (roofing, etc.) Shs (c) Purchase/major repairs of furniture Shs (d) Purchase/major repairs of vehicles Shs (e) Other (specify ) Shs Total 12.10 (a) to (e) Shs 13. Particulars of full-time teachers: St. Name Sex Age Qualifications Subjects Periods Monthly Income Perks* MOE Designation No. in qualified taught/ Registration (Dept. Head, etc.) Yrs. to teach week Number Academic Training Salary PTA/Oth. A T (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) 2 3 4* 5 6 7 9 10 11 12 13 14 15 16 17 18 o *Indicate by a tick mark if accommodation (A) and/or transportation (T) is provided by the school. 13. Particulars of full-time teachers (continued): Si. Name Sex Age Qualifications Subjects Periods Monthly Income Perks* MOE Designation No. in qualified taught/ Registration (Dept. Head, etc.) Yrs. to teach week Number Academic Training Salary FTA/Oth. A T (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) 19 20 21 22 * 23 24 25 26 27 28 29 30 31 32 33 *Indicate by a tick mark if accommodation (A) and/or transportation (T) is provided by the school.X on . Date of submission Signature of the Headteacher LIST OF STATISTICAL APPENDIX TABLES Fiscal Data Fiscal - general FG.1 Key Macroeconomic Data FG.2 Central Government Budgetary Operations FG.2a Central Government Budgetary Operations, as a Percent of GDP FG.3 Sectoral Distribution of Central Govermaent Expenditure FG.4 Government-Recommended Monthly Incentive Payment Fiscal - education Locally-controlled expenditure FE. 1 Recurrent Expenditure in the Education Sector, by Program FE.2 Section 1 Capital Expenditure in the Education Sector, by Program FE.3 Locally-controlled Section 2 Expenditure in the Education Sector, by Project FE.4 Total Locally-controlled Central Government Expenditure in the Education Sector, by Program Donor disbursements FE.5 Donor-financed Section 2 Expenditure in the Education Sector, by Project Total Central Government expenditure FE.6 Total Central Government Expenditure in the Education Sector, by Program FE.6a Total Central Government Expenditure in the Education Sector, by Percent Fiscal-health Locally-controlled expenditure FH.1 Recurrent Expenditure in the Health Sector, by Program FH.2 Section 1 Capital Expenditure in the Health Sector, by Program FH.3 Locally-controlled Section 2 Expenditure in the Health Section, by Project FH.4 Total Locally-controlled Central Government Expenditure in the Health Sector, by Program Donor disbursements FH.5 Donor-financed Section 2 Expenditure in the Health Sector, by Project FH.5a List of projects outside budget document Total Central Government expenditure FH.6 Total Central Government Expenditure in the Health Sector, by Program Education Sector Data Primary Education E. 1 Primary Enrollments and Enrollment Ratios, by Gender and District E. la Primary School Enrollments, Enrollment Ratios, by District E.2 Primary Enrollments by Grade, Gender, and District E.3 Primary School Teachers by Grade, Gender, and Student/Teacher Ratio by District E.4 Primary Student/Teacher Ratios & Student/Trained Teacher Ratios by District E.5 Condition of Primary School Buildings, by District E.6 Central Government Expenditure on Primary Education & Unit Cost, by District E.7 Primary School Curriculum, by Subject and Grade Secondary Education E.8 Secondary Enrollments and Enrollment Ratios, by Gender and District E.9 Secondary Enrollment by Grade, Gender, and District E. 10 Secondary School Teachers by Grade, Gender, and Student/Teacher Ratio, by District E.11 Ministry of Education Payroll, 1991/92 E. 12 Secondary School Curriculum, by Subject and Grade E.13 Projects in the Five Year Investment Program Health Sector Data H. 1 Major Causes of Outpatient Morbidity, 1988-90 H.2 Major Causes of Inpatient Mortality, 1988-90 H.3 Distribution of Health Facilities, 1991 H.3a Distribution of Government Facilities, 1991 H.3b Distribution of Non-Government Organization Facilities 11.3c Distribution of Private Facilities H.4 Distribution of Hospital Beds, 1991 H.5 Distribution of Ministry of Health Personnel, 1991 H.6 Tabulations from the Family Household Budget Survey, 1989/90 H.7 rabulation from the Demographic and Health Survey, 1988/89 H.8 Estimated Recurrent Expenditures for Health from All Sources, 1989/90 H.9 Rough estimates of distribution of Spending by Health Problem, 1989/90 H.10 MOH Proposed Fees Compared to Fees at a Kampala NGO Hospital Table FG.1: KEY NACROECOMONIC DATA CUSh billion, except as noted) Est. Projected 1969/90 1990/91 1991/92 1992/93 1993/94 1994/95 1995/96 1996197 1997/98 1998/99 1999/00 200/01 Real GDP C198718 prices) 484 507 525 553 587 627 GDP deflator (1987/8100) 285.1 377.5 536.7 721.8 811.2 872.1 Nominal GOP 1381 1914 2817 3992 4756 5422 Exchange rate (USh/USS) 320 548 986 1187 1291 1353 NominaL GDP (USS million) 4-316 3493 2857 3363 3684 4007 OD Real GDP C1991/92 USSM) 2857 3000 3150 3307 3473 3646 3829 4020 4221 4432 (grows at 5% p.a.) CPI (1987/88=100) 299.4 410.1 583.3 787.5 883.2 948.2 (rate of increase) 48.1% 37.0% 42.2% 35.0% 12.2% 7.4% Nemorandum item: Est. population (Jan. 1, 1992) 16509 GDP per capita (USh) 170634 GDP per capita CUSS) 173 Est. employed population 6161 GOP/worker 457231 Source of data: Worksheets underlying the Policy Framework Paper for 1992/93 - 1994/95. - O m -129- Appendix FG2 Page 1 of 1 Table FG2: CENTRAL GOVERNMENT BUDGETARY OPERATIONS (in USh billions) **1991/92-- 1992/93 1989/90 --1990/91-- Financial Financial 1993/94 1994/95 Actual Budget Outturn Program Outturn Program Proj. Proj. Revenue and Grants 114 203 207 431 381 592 822 1021 waous3ua=w"Usaw3 ma3 can an Ew zs =C 93=u wa= Revenue 95 137 137 204 186 291 467 627 Grants 20 66 70 227 195 302 355 394 Total Expenditure & Lending 175 258 275 488 581 774 981 1166 WWWWWSaWe uuu =am=on man =3= =cc am= z=== Recurrent Expenditure 98 140 137 251 323 369 498 617 Statutory expenditure 9 16 26 53 97 124 Interest payments 9 15 25 50 90 111 114 123 Other 1 1 1 3 7 13 Recurrent Expenditure of Ministries ("Supply Votesu) 89 124 112 198 226 245 383 494 Wages and salaries 13 21 24 36 48 65 89 107 Other 76 103 88 162 178 180 294 387 Development Expenditure 77 111 1A 226 250 397 465 529 *-----------------*****- .-.* . --- ... - -.- ... ... Section 1 28 22 42 33 23 7 16 18 Section 2 49 89 92 193 227 390 449 511 Local contribution 6 9 10 24 14 33 41 46 Project aid 43 80 82 168 213 357 408 464 Net Lending and Investment 0 7 4 10 9 8 18 20 Overall Deficit 60 55 68 57 201 182 159 145 U UWW = =W 33 W 3W W 33 333 Financing of Deficit 60 55 68 57 201 182 159 145 s333333333=Un3333 an 3 332= z3nn= == = = External financing (net) 92 63 60 102 137 217 159 174 Gross disbursements 76 83 97 169 132 246 336 374 Domestic financing (net) -22 3 8 -45 64 -35 0 -29 Nemorandua items: Locatty-controlled Ministerial Expenditure 123 162 167 267 271 293 459 579 Total Ministerial Expenditure 166 242 249 435 484 650 867 1043 Total aid (grants & loan disb.) 96 149 167 396 327 548 691 768 Nominal CDP 1381 1914 1914 2817 2817 3992 4756 5422 (ratios, in percent) Revenue/Total expenditure 54.3 53.1 49.8 41.8 32.0 37.6 47.6 53.8 Aid/Total expenditure 54.9 57.8 60.7 81.1 56.3 70.8 70.4 65.9 Source: IMF staff report on the ESAF program, November 1992. -130- Appendix FG.2a Page 1 of 1 Table FG.2a: CENTRAL GOVERNMENT BWGETARY OPERATIONS, AS A PERCENT OF GDP S-1991/92-- 1992/93 1989/90 --1990/91-- Financial Financial 1993/94 1994/95 Actual Budget Outturn Program Outturn Program Proj. Proj. Revenue and Grants 8.3 10.6 10.8 15.3 13.5 14.8 17.3 18.8 ftVwWW UAXga waMa M =an Ma= A am on= s === Revenue 6.9 7.2 7.2 7.2 6.6 7.3 9.8 11.6 Grants 1.4 3.4 3.7 8.1 6.9 7.6 7.5 7.3 Total Expenditure & Lending 12.7 13.5 14.4 17.3 20.6 19.4 20.6 21.5 UMMMnUZIMUMM3W usUM as MUM 3333 Zas 3333 =3 as as a Recurrent Expenditure 7.1 7.3 7.2 8.9 11.5 9.2 10.5 11.4 Statutory expenditure 0.7 0.8 1.4 1.9 3.4 3.1 Interest payments 0.7 0.8 1.3 1.8 3.2 2.8 2.4 2.3 Other 0.1 0.1 0.1 0.1 0.2 0.3 Recurrent Expenditure of Ministries ("Supply Votesu) 6.4 6.5 5.9 7.0 8.0 6.1 8.1 9.1 Wages and salaries 0.9 1.1 1.3 1.3 1.7 1.6 1.9 2.0 Other 5.5 5.4 4.6 5.8 6.3 4.5 6.2 7.1 Development Expenditure 5.6 5.8 7.0 8.0 8.9 9.9 9.8 9.8 Section 1 2.0 1.1 2.2 1.2 0.8 0.2 0.3 0.3 Section 2 3.5 4.6 4.8 6.9 8.1 9.8 9.4 9.4 Local contribution 0.4 0.5 0.5 0.9 0.5 0.8 0.9 0.8 Project aid 3.1 4.2 4.3 6.0 7.6 8.9 8.6 8.6 Net Lending and Investment 0.0 0.4 0.2 0.4 0.3 0.2 0.4 0.4 Overall Deficit 4.3 2.9 3.6 2.0 7.1 4.6 3.3 2.7 Financing of Deficit 4.3 2.9 3.6 2.0 7.1 4.6 3.3 2.7 u. . .=............ .3. . UM Mm Man 3. .33= = == External financing (net) 6.7 3.3 3.1 3.6 4.9 5.4 3.3 3.2 Gross disbursements 5.5 4.3 5.1 6.0 4.7 6.2 7.1 6.9 Domestic financing (net) -1.6 0.2 0.4 -1.6 2.3 -0.9 0.0 -0.5 Nemorandul item: Locatly-controLted Ministerfit Expenditure 8.9 8.5 8.7 9.5 9.6 7.3 9.7 10.7 Total Ministerial Expenditure 12.0 12.6 13.0 15.4 17.2 16.3 18.2 19.2 Total aid (grants & loan diab.) 7.0 7.8 8.7 14.1 11.6 13.7 14.5 14.2 ....................................................................... Source: Based on Statistical Appendix Table FG.2 -131- Appendix FG.3 Page 1 of 1 Table FG.3: CENTRAL GOVERNMENT EXPENDITURE BY SECTOR (in USh billions) 1989/90 --1990/91-- --1991/92-- 1992/93 Actual Budget Actual Budget Actual Budget Locatty-controlled Expenditure 123.1 162.2 167.4 267.2 271.0 293.0 Social Sectors 25.4 39.4 34.7 69.8 62.3 97.8 Education 19.2 27.0 25.0 48.3 49.0 64.1 Health 6.2 12.4 9.7 21.5 13.3 33.7 Defence 52.0 37.0 56.9 55.0 65.4 61.0 Other 45.7 85.8 75.8 142.4 143.3 134.2 Donor Disbursements 42.8 80.1 82.0 167.6 213.0 357.0 Social Sectors 14.9 10.0 35.8 48.8 48.8 58.7 Education 2.7 1.3 9.2 22.5 22.5 33.2 Health 12.2 8.7 26.6 26.3 26.3 25.5 Other 27.9 70.1 46.2 118.8 164.2 298.3 Total Ministerial Expend. 165.9 242.3 249.4 434.8 484.0 650.0 Social Sectors 40.3 49.3 70.6 118.7 111.1 156.5 Education 21.9 28.3 34.2 70.8 71.5 97.3 Health 18.4 21.0 36.4 47.9 39.6 59.2 Defence 52.0 37.0 56.9 55.0 65.4 61.0 Other 73.6 156.0 121.9 261.1 307.5 432.5 Sources: Total expenditure is from Table FG.2. Expenditure on education and health is from Tables FE.6 and FH.6. Defence expenditure is from Government budget documents. Note: "Other" includes economic services and general public administration. Note: Consolidated Fund Service refers to expenditures arising from past Government commitments, which therefore are nondiscretionary and are not subject to appropriation by Parliament. Interest on Government debt accounts for the bulk of CFS; pensions are the second largest claim on CFS. Because CFS expenditure cannot be attributed to any particular ministry or other self-accounting agency, it is omitted from the sectora( distribution of expenditure. -132- Appendix FG.3a Page 1 of 1 Table FG.3a: CENTRAL GOVERNMENT EXPENDITURE BY SECTOR: PERCENT DISTRIBUTION 1989/90 --1990/91-- --1991/92-- 1992/93 Actual Budget Actual Budget Actual Budget Local ly-controt led Expenditure 100.0 100.0 100.0 100.0 100.0 100 0 Social Sectors 20.6 24.3 20.7 26.1 23.0 33.4 Education 15.6 16.6 14.9 18.1 18.1 21.9 Health 5.0 7.6 5.8 8.0 4.9 11.5 Defence 42.2 22.8 34.0 20.6 24.1 20.8 Other 37.1 52.9 45.3 53.3 52.9 45.8 Donor Disbursements 100.0 100.0 100.0 100.0 100.0 100.0 Social Sectors 34.8 12.5 43.7 29.1 22.9 16.4 Education 6.3 1.6 11.2 13.4 10.6 9.3 Health 28.5 10.9 32.4 15.7 12.3 7.1 Other 65.2 87.5 56.3 70.9 77.1 83.6 otet Ministerial Expend. 100.0 100.0 100.0 100.0 100.0 100.0 Social Sectors 24.3 20.3 28.3 27.3 23.0 24.1 Education 13.2 11.7 13.7 16.3 14.8 15.0 Health 11.1 8.7 14.6 11.0 8.2 C1.1 Defence 31.3 15.3 22.8 12.6 13.5 9.4 Other 44.4 64.4 48.9 60.0 63.5 66.5 Source: Based on Statistical Appendix Table FG.3 -133- Appendix FG.4 Page 1 of 1 Table FG.4:GOVERNNENT-RECOMENDED MONTHLY INCENTIVE PAYMENT, AND IMPLIED TOTAL COMPENSATION (USh) PSSRC Recommended Recm- Inptlied Scale Average mended Total Ilptied (Oct.1991 Salary Incentive Monthly Total Prices) 1991/92 Payment Compen. Annual (A) (8) (C) (D) (D/B) Compen. ISpecial 307,688 24,240 170,069 194,309 8.0 2331708 U1 281,193 15,946 159,148 175,094 11.0 2101128 U2 247,194 10,197 142,198 152,395 14.9 1828740 U3 209,017 9,482 119,721 129,203 13.6 1550436 U4 189,925 7,598 109,396 116,994 15.4 1403928 US 168,892 6,173 97.631 103,804 16.8 1245648 U6 120,389 5,846 68,726 74,572 12.8 894864 U7 100,404 4,806 57,359 62,165 12.9 745980 US 83,388 4,151 47,542 51,693 12.5 620316 Source: Ministry of Planning and Economic Development, memorandum to alt donors, dated November 25, 1991 -134- Appendix FE.1 Page 1 of 2 Table FE. 1: RECURRENT EXPENDITURE IN THE EDUCATION SECTOR, Feb. 24 1993 BY PROGRAM AND ECONOMIC CLASSIFICATION OF EXPENDITURE (in USh millions) 1989/90 ** 1990/91 ** -- 1991/92 * 1992/93 Minstry/Program Actual Budget Actual Budget Projected* Budget Ministry of Education and Sports 19330 29219 39880 (Check) 13885 19329 17151 29220 38800 Headquarters 1194 8675 7595 13910 25477 Employee costs 205 8311 6661 11736 15974 22843 Primary teachers 6293 4754 8374 11400 16302 Secondar-/ teachers 1615 1220 2149 2926 4184 Teacher education 397 300 528 719 1028 Technical education 275 208 366 498 712 Higher education (Mbarara U.) 129 98 172 234 335 Headquarters 109 82 145 197 282 Other current expenditure 989 364 934 2174 2634 Schools Inspectorate 512 996 1297 3252 57 Employee costs 76 115 100 126 38 Other current expenditure 435 881 1197 3126 19 Teacher Training 2630 2584 2628 2939 3589 Employee costs 514 245 141 85 196 Other current expenditure 2116 2339 2487 2854 3393 Schools and Cotteges 409 145 105 174 89 Employee costs 126 57 76 86 22 Other current expenditure 283 88 29 88 67 Primary Education 3839 1080 385 1411 1353 Employee costs 3619 119 109 63 26 Other current expend.ure 220 961 276 1348 1327 Secondary Education 2801 2800 2717 2264 2868 Employee costs 1150 212 378 16 6 other current expenditure 1651 2588 2339 2248 2862 Technical and Commercial Education 1740 1795 1471 2078 2726 Employee costs 276 277 91 71 52 Other current expenditure 1464 1518 1380 2007 2674 Higher Education (Mbarara U.) 420 591 489 1748 1142 Employee costs 92 101 221 60 2 Other current expenditure 328 490 26, 1688 1140 Teaching Service Comission 340 663 464 834 656 Employee costs 240 293 170 333 143 Other current expenditure 100 370 294 501 513 Sports Department 0 0 0 610 843 Employee costs 0 0 0 4 3 other current expenditure 0 0 0 606 840 Makerere University 2383 3571 3562 6286 8184 Employee costs 823 1442 1647 2218 4132 Other current expenditure 1560 2129 1915 4068 4052 Ministry of Local Govt.-Education 1760 1760 1760 9017 10496 Employee costs 1 16 2 Other current expenditure 1763 9001 10494 TOTAL (excluding Sports Dept.) 18028 24661 22473 43912 57717 uzzwUzuUUw2UUU aU U=UU NC=UuUu 23U2 Memorandum items: Total Recurrent expenditure on: Primary education 5599 9133 6899 18802 28151 Secondary education 2801 4415 3937 4413 7052 Teacher training 2630 2981 2928 3467 4617 Technical & ca,mertfal ed. 1740 2070 1679 2444 3438 Higher education 2803 4291 4149 8206 9661 Other 2455 1771 2881 6579 4798 * See Notes on next page. -135- Appendix FE.1 Page 2 of 2 NoM: In the 1991/92 and 1992/93 budget documents, all staff salaries and pro,- ssional allowances are shown as a lump sum under Program 01, Headquarters, with none under the substantive education programs. This practice, which is inconsistent with sound budgeting principles, reflects the lack of an agreed Establishment. Employee costs are allocated among the programs only ex 081, as been done in the accounts for 1989/90. For 1990/91, 1991/92, and 1992/93, the disaggregations of the wage bill among the levels of the education system are mission estimates, derived by applying Percent Distributions (e.g., 71% for primary, 18% for secondary) from the monthly payroll displayed in Table E. 12. Note: The Sports Department was brought into the Ministry of Education at the beginning of the 1991/92 fiscal year. N91g: In the 1992/93 budget document, two additional "programs" have been created under the MOES vote: Uganda National Examinations Board, and National Curriculum Development Center. Previously these were part of the "Headquarters" program. In Table FE. 1, these functions continue to be treated as part of "Headquarters". -136- Appendix FE.2 Page 1 of 1 Table FE. 2: SECTION 1 CAPITAL EXPENDITURE IN THE EDUCATION SECTOR, BY PROGRAM AND OBJECT OF EXPENDITURE (in USH millions) ----------------------------------------------------------------------------- 1989/90 -- 1990/91 -- -- 1991/92 -- 1992/93 Actual Budget Actual Budget Actual Budget ----------------------------------------------------------------------------- Ministry of Education 1033 1670 1691 1733 85 ...................** (Check) ---- ---. ---- -- -. (1732) Headquarters 22 1020 1002 21 0 Construction 13 20 2 0 Equipment 9 1000 1000 21 Schools Inspectorate 0 0 0 120 65 Construction 0 0 0 76 50 Equipment 0 0 0 44 15 Teachers Training 45 40 41 214 20 Construction 45 30 33 40 0 Equipment 0 10 8 174 20 Secondary Education 356 100 100 714 0 Construction 34 100 100 180 Equipment 322 0 0 534 Technical and Commercial Education 0 10 3 113 0 Equipment 0 10 3 113 Higher Education - Mbarara U. 610 500 545 550 0 Construction 610 500 545 550 Makerere University N/A 417 740 321 0 Corstruction 357 710 249 Equipment 60 30 72 Ministry of Local Govt.-Education N/A 0 N/A 210 0 Construction 0 210 TOTAL 1033 2087 2431 2264 85 ----------------------------------------------------------------------------------------------- -137- Appendix FE.3 Table FE. 3: LOCALLY-CONTROLLED SECTION 2 EXPENDITURE IN THE EDUCATION SECTOR Page 1 of 4 BY PROJECT AND ECONOMIC CLASSIFICATION OF EXPENDITURE (in USh mhllions) Project Code/ 1989/90 ** 1990/91 --* . 1991/92 -- 1992/93 Donor Actual Budget Actual Budget Actual Budget Ministry of Education (exet. Sports) 122 90 84 974 4352 School Health Education SI*76(N) 0 23 0 110 348 Construction UNICEF 0 0 0 Equipment and veh'cles 0 0 50 Foreign salaries 0 0 0 Local salaries & allow. 0 0 0 Other current expend. 23 110 298 Mandela National Stadiun SI-71(N) 0 0 0 227 200 Construction China 0 200 Equipent and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 227 0 Strengthening Plan. Unit PA-10 0 5 N/A 0 0 Cons*.*uction ADS 0 N/A Eq.ipment and vehicles UNESCO 0 N/A Foreign salaries 0 N/A Local salaries & allow. 5 N/A Other current expend. O N/A 4TH IDA Education Project SI-63(N) 122 46 46 335 300 Construction IDA 0 1 0 0 0 Equipment and vehicles 0 0 0 0 0 Foreign salaries 0 0 0 0 0 Local salaries & allow. 3 2 9 1 3 Other current expend. 119 43 37 334 297 World Food Programme/BEIRD SI-27 0 26 26 302 134 Construction WFP 0 0 C 0 Equipment and vehicles 14 0 0 100 Foreign salaries 0 0 0 0 Local salaries & allow. 1 2 3 7 Other current expend. 11 24 299 27 Population Education SI-25(C) 0 13 0 0 16 Construction UNFPA 7 0 Equipment and vehicles 1 2 Foreign salaries 0 0 Local salaries & altow. 0 0 Other current expend. 5 12 Curriculun Devel. (BEND) SI-25(B) 0 0 0 40 109 Construction UNDP 7 0 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 45 Other current expend. 33 64 Curriculum Devel. (STEPU) SI-25 0 0 12 43 91 Construction UK 0 0 10 Equipment and vehicles 0 0 16 Foreign salaries 0 0 0 Local salaries & allow. 12 1 2 Other current expend. 0 42 63 Rehab. of UTCs and UCCs S1-24 0 0 0 0 209 Construction ADB 156 Equipment and vehicles 23 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 30 Rehab. of NTCs and ITEK SI-23 0 0 0 0 100 Construction ADB 21 Equipment and vehicles 79 Foreign salaries 0 Local salaries & allow. O Other current expend. 0 -138- Appendix FE.3 Page 2 of 4 Rehab. of PTCs 1-22 0 0 0 26 250 Construction IDA 0 0 Equipment and vehicles 0 250 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 26 0 Mebende Teacher Educ. 81-00(m) 0 0 0 18 26 Construction Action 0 0 Equipment and vehicles 0 10 Foreign salaries 0 0 Local salaries & allow. 0 7 Other current expend. 18 9 lFP/KARAMOJA SI-00(K) 0 0 0 100 213 Construction WFP 0 0 Equipment and vehicles 0 144 Foreign salaries 0 0 Local salaries & allow. 1 8 Other current expend. 99 61 Rehab. of Tech. Schools 8t-01 0 0 0 0 90 Construction GOU 90 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 0 Rehab. of Second. Schools S1-03 0 0 0 0 473 Construction GOU 473 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 0 Curriculum Devel. S1-25(N) 0 0 0 0 39 Construction GOU 26 Equipment and vehicles 13 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 0 Ed. Sector Dev. Project SI-26(N) 0 0 0 0 49 Construction IDA 0 Equipment and vehicles 32 Foreign salaries 0 Local salaries & allow. S Other current expend. 12 Mbarara Univ of Scl & Tech S-64 0 0 0 0 1775 Construction GOU 1755 Equipment and vehicles 20 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 0 Special Education SI-77(N) 0 0 0 0 130 Construction 0 Equipment and vehicles 7 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 123 Makerere University 145 1023 1530 Training for Demographers Sl-46(H) 0 8 11 Construction UNFPA 0 0 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. a 11 Strengthening PHC Serv. SI-28(F) 0 13 242 Construction UNICEF 0 0 Equipment and vehicles 0 Is Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 13 ?27 -139- Appendix FE.3 Page 3 of 4 Ren./Const. of Building SI-05(N) 0 220 150 Construction USAID 0 0 Equipment and vehicles EEC 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 other current expend. 220 150 Ren./Const. of Butding SI-05( ) 0 156 194 Construction Japan 0 50 Equipment and vehicles EEC 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 156 144 Re-equip. of Univ. Plant SI-04(N) 0 300 251 Construction UNECA 0 0 Equipment and vehicles ADB 28 242 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 272 9 Re-equipment SI-04(M) 125 116 110 Construction Germany 125 116 110 Equipment and vehicles 0 0 0 Foreign salaries 0 0 0 Local salaries & allow. 0 0 0 Other current expend. 0 0 0 Rehab. of Infrastructure SI-04(A) 20 202 264 Construction Germany 20 17 0 Equipment and vehicles UNOP 0 9 0 Foreign salaries EEC 0 0 0 Local salaries & allow. 0 9 0 Other current expend. 0 167 264 Training for Econ. Policy PA-27(N) 0 0 86 Construction UNDP 0 Equipment and vehicles EEC 15 Foreign salaries 0 Local salaries & allow. 30 Other current expend. 41 ASAC Investment Component AG-90(7) 0 8 90 Construction IDA 7 87 Equipment and vehicles 0 1 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 1 2 Capitalisation of New DeptSI-06(N) 85 Construction GOU 0 Equipment and vehicles 85 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 0 Hydrogeology Uganda SI-98(B) 0 0 0 0 47 Construction GOU 0 Equipment and vehicles IDRC 25 Foreign salaries 0 Local salaries & allow. 11 Other current expend. 11 Ministry of Local Government 0 137 472 Rehab. of Primary Schools SI-02 0 137 472 Construction Japan 113 391 Equipment and vehicles 0 0 For,-ign salaries 0 0 Local salaries & allow. 24 81 Other current expend. 0 0 Ministry of Planning and Econ. Devt. PAPSCA - Primary Schools SI-86 Construction IDA Equipment and vehicles -140- Appendix FE.3 Foreign salaries Page 4 of 4 Local eateries & at tow. Other current expend. TOTAL (excluding Sports) 122 235 84 2134 6354 Memorandum items: Total Section 2 tocal expenditure on: Primary education 122 90 84 1067 2110 Secondary education 0 0 0 0 473 Teacher training 0 0 0 44 376 Technical & commercial ed. 0 0 0 0 90 Higher education 145 1023 3305 Other 0 0 0 0 0 Note: Projects are listed in the order in which they appear in the 1991/92 budget document. -141- Appendix FE.4 Page 1 of 1 Table FE. 4: LOCALLY-CONTROLLED CENTRAL GOVERNMENT EXPENDITURE IN THE EDUCATION SECTOR, BY LEVEL OF EDUCATION (in Ush aittions) 1989/90 -- 1990/91 -- 1991/92 1992/93 Actual Budget Actual Budget Budget Primary Education 5721 9223 6963 20079 30261 Recurrent 5599 9133 6899 1802 28151 Section 1 N/A 0 N/A 210 0 Section 2 * Local Cont. 122 90 84 1067 2110 Secondary Education 3157 4515 4037 5127 7525 Recurrent 2801 4415 3937 4413 7052 Section 1 356 100 100 714 0 Section 2 - Locat Cont. 0 0 0 0 473 Teacher Training 2675 3021 2969 3725 5013 Recurrent 2630 2981 2928 3467 4617 Section 1 45 40 41 214 20 Section 2 - Locat Cont. 0 0 0 4 376 Technical and Commerciat Education 1740 2080 1682 2557 3528 Recurrent 1740 2070 1679 2444 3438 Section 1 0 10 3 113 0 Section 2 - Local Cont. 0 0 0 0 90 Higher Education 3413 5353 5434 10100 12966 Recurrent 2803 4291 4149 8206 9661 Section 1 610 917 1285 871 0 Section 2 Local Cont. 0 145 0 1023 3305 Other 2477 27N1 38e3 6720 4863 Recurrent 2455 1771 2881 6579 4798 Section 1 22 1020 1002 141 65 Section 2 -Local Cont. 0 0 0 0 0 TOTAL 19183 26983 24988 48309 64156 WWWW3 33333 33388 33333 33W=3 333as Recurrent 18028 24661 22473 43912 57717 Section 1 1033 2087 2431 2263 85 Section 2 - Local Cont. 122 235 84 2134 6354 (Total - check) 19183 26983 24988 48309 64156 Note: The fotLowing data are not available, and therefore are excluded: Makerere University Section 1 actual for 1989/90. -142- Appendix FE.5 Table FE. 5: DONOR-FINANCED SECTION 2 EXPENDITURE IN THE EDUCATION SECTOR, Page 1 of 3 BY PROJECT AND ECONOMIC CLASSIFICATION OF EXPENDITURE (in USh millions) (USS thousands) ................................................................................. .................. Code/ 1989/90 -- 1990/91 -- -- 1991/92 * 1992/93 Level 1989/90 1990/91 Project Donor Actual Budget Actual Budget Actual Budget (MOE only) SActual SActual ................................................................................. .................. Ministry of Education 2282 1067 5488 12968 26733 7141 10018 School Health Education SI-76(N) 338 247 165 907 973 Primary 1059 302 Construction UNICEF 143 0 0 0 0 Equipment and vehicles 0 142 0 0 259 Foreign salaries 15 15 87 61 27 Local salaries & allow. 9 9 0 0 16 Other current expend. 80 0 820 912 0 Mandela National Stadiun SI-71(N) 0 0 39 1299 2980 (n.a.) 0 71 Construction China 0 1299 2980 0 Equipment and vehicles 22 0 0 40 Foreign salaries 0 0 0 0 Local salaries & allow. 0 0 0 0 Other current expend. 17 0 0 31 Strengthening Plan. Unit PA-10 0 78 N/A 0 0 Other 0 N/A Construction ADS 7 N/A N/A Equipment and vehicles UNESCO 14 N/A N/A Foreign salaries 43 N/A N/A Local salaries & allow. 6 N/A N/A Other current expend. 8 N/A N/A 4TH IDA Education Project SI-63(N) 1589 450 716 1738 2617 Primary 4973 1307 Construction IDA 102 0 0 0 0 Equipment and vehicles 26 42 61 0 76 Foreign salaries 110 175 256 775 320 Local salaries & allow. 0 0 0 0 0 Other current expend. 212 499 1422 1842 911 World Food Progranne/BEIRD SI-27 320 200 4381 3507 4172 Primary 1000 7998 Construction WFP 0 0 0 0 0 Equipment and vehicles 0 0 0 0 0 Foreign salaries 0 0 0 0 0 Local salaries & allow. 0 0 0 0 0 Other current expend. 200 4381 3507 4172 7998 Population Education SI-25(C) 0 92 88 302 551 Primary 0 161 Construction UNFPA 21 0 0 0 0 Equipment and vehicles 2 0 0 29 0 Foreign salaries 21 54 0 155 99 Local salaries & allow. 24 11 0 36 20 Other current expend. 24 23 302 331 42 Curriculum Devel. (BEND) S1-25(B) 35 0 137 520 562 Primary 109 250 Construction UNDP 0 0 0 0 Equipment and vehicles 0 0 126 0 Foreign salaries 68 520 191 125 Local salaries & allow. 68 0 0 125 Other current expend. 0 0 245 0 Curriculun Devel. CSTEPU) SI-25 0 0 N/A 34 37 Primary 0 N/A Construction UK N/A 0 0 N/A Equipment and vehicles N/A 7 0 N/A Foreign salaries N/A 5 7 N/A Local salaries & allow. N/A 0 0 N/A Other current expend. N/A 22 30 N/A Rehab. of UTCs and UCCs St-24 0 0 0 1915 1966 Tech. 0 0 Construction ADS 930 1582 Equipment and vehicles 917 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 68 385 Rehab. of NTCs and ITEK SI-23 0 0 0 277 1966 TT 0 0 Construction ADS 166 1532 Equipment and vehicles 68 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 42 434 -143- Appendix FE.5 Page 2 of 3 Rehab. of PTCs SI-22 0 0 0 1351 3576 TT 0 0 Construction IDA 1351 0 Equipment and vehicles 0 3576 Foreign salaries 0 0 Local salaries & allow. 0 0 other current expend. 0 0 Mobende Teacher Educ. S1-00(m) 0 0 0 117 135 TT 0 0 Construction Action 0 0 Equipment and vehicles 12 0 Foreign salaries 0 55 Local salaries & allow. 0 0 Other current expend. 165 80 WFP/KARAMOJA SI-00(K) 0 0 0 2240 3338 Primary 0 0 Construction WFP 0 0 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 2240 3338 Ed. Sector Dev. Project SI-26(N) 0 0 0 0 4778 Primary Construction IDA 381 Equipment and vehicles 919 Foreign salaries 1788 Local salaries & allow. 54 Other current expend. 1636 Special Education SI-77(N) 0 0 0 0 1616 Primary Construction Denmark 1340 Equipment and vehicles 34 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 232 Wose School Farm Project SI-99 0 0 0 0 446 Primary Construction EEC . 351 Equipment and vehicles 0 Foreign salaries 57 Local salaries & allow. 0 Other current expend. 38 Makerere University 464 224 3677 8197 4922 1389 6712 Training for Demographers SI-46(H) 0 0 0 116 173 0 0 Construction UNFPA 0 0 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 116 173 Strengthening PHC ServicesSI-28(F) 0 0 0 224 66 0 0 Construction UNICEF 0 0 Equipment and vehicles 0 0 Foreign salaries 67 66 Local salaries & atLow. 0 0 Other current expend. 157 0 Ren./Const. of Building SI-05(N) 0 0 0 1824 0 0 0 Construction USAID 0 Equipment and vehicles EEC 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 1824 Ren./Const. of Building St-05M) 0 0 561 1755 1507 0 1025 Construction Japan 0 0 0 0 Equipment and vehicles EEC 0 0 0 0 Foreign salaries 0 0 0 0 Local salaries & allow. 0 0 0 0 Other current expend. 561 1755 1507 1025 Re-equip. of Univ. Plant SI-04(N) 0 0 0 2020 1222 0 0 Construction UNECA 0 0 Equipment and vehicles ADB 822 0 Foreign salaries 0 0 Local salaries & allow. 0 0 -144- Appendix FE.5 Other current expend. 1198 1222 Page 3 of 3 Re-equipment (Vet. Med.) SI-04(M) 284 160 156 887 601 889 284 Construction Germany 64 18 39 358 33 Equipment and vehicles 96 54 253 0 99 Foreign salaries 0 54 476 0 99 Local salaries & allow. 0 0 0 0 0 Other current expend. 0 28 119 243 52 Rehab. of Infrastructure SI-04(A) 160 64 2960 662 539 500 5403 Construction Germany 64 547 0 0 998 Equipment and vehicles UNDP 0 602 423 31 1099 Foreign salaries EEC 0 137 124 139 250 Local salaries & allow. 0 0 0 0 0 Other current expend. 0 1674 115 369 3056 Training for Econ. Policy PA*27(N) 0 0 0 431 371 0 0 Construction UNDP 0 0 Equipment and vehicles EEC 3 2 Foreign salaries 272 358 Local salaries & allow. 49 0 Other current expend. 107 11 ASAC Investment Component AG-90(7) 0 0 0 278 443 0 0 Construction IDA 22 0 Equipment and vehicles 148 110 Foreign salaries 15 0 Local salaries & allow. 0 2 Other current expend. 93 331 Ministry of Local Government 0 0 0 1327 1550 0 0 Rehab. of Primary Schools SI-02 0 0 0 1327 1550 0 0 Construction Japan 0 1550 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 1327 0 Ministry of Planning and Econ. Devt. PAPSCA - Primary Schools SI-86 Construction IDA Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. TOTAL 2726 1291 9165 22492 33205 sum-- mo" .. . Memorandum items: 2726 1291 9165 22492 33205 (Check) Total donor disbursements on: Primary education 2282 1067 5488 10575 20640 Secondary education 0 0 0 0 0 Teacher training 0 0 0 1805 5677 Technical & commercial ed. 0 0 0 1915 1966 Higher education 444 224 3677 8197 4922 other 0 0 0 0 0 .............................................................................................. Note: The Government's data base an donor disbursement is in USS. In this table, these date have been converted to Uganda shillings with the average rates used by the IMF in monitoring Uganda's program: 320 sh/S in 1989/90, and 548 sh/S in 1990/91. -145- Appendix FE.6 Page 1 of 1 Table FE.6: CENTRAL GOVERNMENT EXPENDITURE IN THE EDUCATION SECTOR (in USh mittions) 1989/90 --1990/91-- 1991/92 1992/93 Actual Budget Actual Budget Budget Locatly-controlled Expenditure 19,183 26,987 24,988 48,309 64,156 Primary education 5,721 9,227 6,983 20,079 30,261 Secondary education 3,157 4,515 4,037 5,127 7,525 Teacher training 2,675 3,021 2,969 3,725 5,013 Tech. & comercial ed. 1,740 2,080 1,682 2,558 3,528 Higher education 3,413 5,353 5,434 10,100 12,966 Other 2,477 2,791 3,883 6,719 4,863 Donor Disbursements 2,726 1,291 9,165 22,492 33,205 Primary education 2,282 1,067 5,488 10,575 20,640 Secondary education 0 0 0 0 0 Teacher training 0 0 0 1,805 5,677 Tech. & commercfal ed. 0 0 0 1,915 1,966 Higher education 444 224 3,677 8,197 4,922 Other 0 0 0 0 0 Total Central Government Expenditure 21,909 28,278 34,153 70,801 97,361 Primary education 8,003 10,294 12,471 30,654 50,901 Secondary education 3,157 4,515 4,037 5,127 7,525 Teacher training 2,675 3,021 2,969 5,530 10,690 Tech. & comercfaL ed. 1,740 2,080 1,682 4,473 5,494 Higher education 3,857 5,577 9,111 18,297 17,888 Other 2,477 2,791 3,883 6,719 4,863 Source: Statistical Appendix Tables FE.4 and FE.5 -146- Appendix FE.6a Page 1 of 1 Table FE.6a: CENTRAL GOVERNMENT EXPENDITURE IN THE EDUCATION SECTORs PERCENT DISTRIBUTION 1989/90 --1990/91-- 1991/92 1992/93 Actual Budget Actual Budget Budget Locatty-controlled Expenditure 100.0 100.0 100.0 100.0 100.0 Primary education 29.8 34.2 30.1 41.6 47.2 Secondary education 16.5 16.7 17.4 10.6 11.7 Teacher training 13.9 11.2 12.8 7.7 7.8 Tech. A comercial ad. 9.1 7.7 7.2 5.3 5.5 Higher education 17.8 19.8 23.4 20.9 20.2 Other 12.9 10.3 16.7 13.9 7.6 Donor Disbursements 100.0 100.0 100.0 100.0 100.0 Primary education 83.7 82.6 59.9 47.0 62.2 Secondary education 0.0 0.0 0.0 0.0 0.0 Teacher training 0.0 0.0 0.0 8.0 17.1 Tech. & co mercial ad. 0.0 0.0 0.0 8.5 5.9 Higher education 16.3 17.4 40.1 36.4 14.8 Other 0.0 0.0 0.0 0.0 0.0 Total Central Governmant Expenditure 100.0 100.0 100.0 100.0 100.0 Primary education 39.7 36.4 38.5 43.3 52.3 Secondary education 15.7 16.0 12.5 7.2 7.7 Teacher training 13.3 10.7 9.2 7.8 11.0 Tech. & comercfat ad. 8.6 7.4 5.2 6.3 5.6 Higher education 19.1 19.7 28.1 25.8 18.4 Other 12.3 9.9 12.0 9.5 5.0 Source: Based on Statistical Appendix Table FE.6 -147- Appendix FH.1 Page 1 of 1 Table FW.1: RECURRENT EXPENDITURE IN THE HEALTH SECTOR, 02/18/93 BY PROGRAM AND PRINCIPAL SUS-PROGRAMS (fn USh millions) .................................................................................. This Report's Programs (and subprograms under Program 1989/90 ** 1990/91 * 1991/92 -- 1992/93 the Director of Health Services) Class. Actual Budget Actual Budget Actual Gudget .................................................................................. Minstry of Health 3953 8057 6159 12937 15551 Headquarters 6 644 2848 3696 5211 5228 ---------... *- --- **** ***. *...**. Director of Health Services 1289 ?784 1084 4505 7989 Management 6 145 313 122 507 899 Health Education 3 9 19 8 31 56 Maternal and Child Health 1 4 9 3 14 25 Nutrition Units (4) 1 8 17 7 28 50 Health Planning Unit 6 3 6 3 10 19 Medical Stores Management 6 29 63 24 101 180 Medical Store Supply 2S,2T 1015 2192 854 3547 6291 Medical Stores Inspectorate 6 5 11 4 17 31 Primary Health Care 2P 2 4 2 7 12 Inmunizations CUNEPI) 1 1 2 1 3 6 Laboratory Services 2S,2T 3 6 3 10 19 Chemotherapeutics 25,2T 7 15 6 24 43 Stood Transfusion Services 2S,2T 4 9 3 14 25 Epidemic Disease 3 7 15 6 24 43 Cancer Research 5 16 35 13 56 99 TO Control 3 4 9 3 14 25 Vector Control *3 4 9 3 14 25 Veterinary Public Health 3 5 11 4 17 31 Public Health Sanitary 3 3 6 3 10 19 Dental Division *2P 2 4 2 7 12 Nursing Division 6 6 13 5 21 37 Uganda Nurses Councils 6 2 4 2 7 12 Health Education 3 1 2 1 3 6 Environmental Health 3 4 9 3 14 25 Training Cat 18 sites) 4 418 772 427 957 632 Regional & District Health Services 6 175 26 22 31 24 Hospitals (50 hospitals) 2S 1374 1510 892 2104 1557 Research Insititutions (4) 5 53 117 38 129 121 Mutago Hospital 2T 1472 2982 2280 3435 4855 ....... Z... as== - Ministry of Local Govt.(Health Dept) 1 0 0 0 430 550 a a w =us TOTAL 5425 11039 8439 16802 .- 20956 Memorandum I tams: 5425 11039 8439 16802 20956 Personal health services 3892 6751 4051 9625 13445 1. Preventive 13 28 11 475 631 2. Curative * Total 3879 6723 4040 9149 12814 Curative - Primary 4 9 3 14 25 Curative * Se:ondary 1889 2621 1325 3902 4746 Curative * Tertiary CHutago) 1987 4093 2712 5233 8044 Curative - UnalLocated 0 0 0 .0 0 3. Community health interventions 37 80 31 129 229 4. Training 418 772 427 957 632 5. Research 69 152 51 185 220 6. Administration 1009 3284 3878 5906 6430 -148- Appendix FH.2 Page 1 of 1 Table FH. 2: SECTION 1 CAPITAL EXPENDITURE IN THE HEALTH SECTOR, BY PROGRAM AND OBJECT OF EXPENDITURE (in USh millions) This Report's Program 1989/90 ** 1990/91 * ** 1991/92 -- 1992/93 Class. Actual Budget Actual Budget Actual Budget Ministry of Health 124 110 501 700 114 au=aMx=f= *n Mu on Headquarters 6 9 25 429 0 is Construction 9 12 12 5 Equipment 0 13 417 10 Office of the Director of Medical Services 6 3 0 0 224 0 Construction 3 200 Equipment 0 24 Training Schools 4 1 24 30 22 47 Construction 1 24 30 0 27 Equipment 0 0 0 22 20 Hospitals 2S 100 61 42 454 52 Construction 81 61 42 454 10 Equipment 19 0 0 42 Research Institutions 5 11 0 0 0 0 Construction 11 Equipment 0 Mutago Hospital . 132 188 240 114 112 m .. ... .. a* Headquarters 2T 104 148 195 2 2 Construction 102 146 192 0 0 Equipment 1 2 3 2 2 Medical Services 2T 21 30 30 32 64 Construction 0 0 0 0 4 Equipment 21 30 30 32 60 Public Health Care Programe 2P 0 0 0 32 0 Equipment 32 Connon Services 0 0 0 0 36 Equipment 36 Training -choots 4 7 10 15 48 0 Construction 0 0 0 20 Equipment 7 10 15 28 Ministry of Local Govt.-HeaLth 1 0 0 0 287 50 Construction 212 0 Equipment 75 50 TOTAL 256 298 741 1101 276 am x" va n. -149- Appendix FH.3 Page 1 of 6 Table PH. 3: LOCALLY-FINANCED SECTION 2 IMPUMDITUR IN THE NEALTN SECTOR, BY PROGRAN AND ECONOMIC CLASSIFICATION OF EIPSNDITURS (in USh silons) This Report's Project Code/ Progrm 1969/90 ** 1990/91 * 1991/92 ** 1992/93 Donor Class. Actual Budget Actust Iudget Actual Budget Ministry of Health 206 412 264 1430 8799 ................ ... ..mumm. ... Constr. of Rakal Hospital St-96(N) 2S 0 0 0 11 198 Construction IDA 11 123 Equipment and vehicles 0 0 Foreign salarIes 0 0 Local salaries & attow. 0 0 Other current expend. 0 75 Strength. Health Ed.-I.E.C. SI*76() 3 0 0 21 450 Construction IDA 0 0 0 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & &(Low. 0 0 Other current expend. 21 450 Strength. Heat. Ed.-HER St-76 3 5 3 0 137 871 Construction UNICEF 0 0 0 Equipment and vehicles 3 0 0 190 Foreign salaries 0 0 0 Local salaries & allow. 0 0 0 Other current expend. 0 137 681 Mgt. Support-Med. Workshop SI-75(D) 2S2T 0 0 0 66 44 Construction IDA 66 3 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. * 0 3 Other current expend. 0 38 Mgt. Support-P.t.U.(F.H.P.) SI-75(C) 6 0 0 0 100 821 Construction IDA 0 0 Equipment and vehicles 0 109 Foreign salarIes 0 0 Local salaries & allow. 3 4 Other current expend. 97 708 Mgt. Support-Health tnf. SI-75(A) 6 0 25 49 9 79 Construction UNICEF 0 0 0 Equipment and vehicles 0 0 25 Foreign salaries 0 0 0 Local sataries & altow. 0 0 0 other current expend. 25 49 9 54 Aids Control Programme Total 0 28 28 276 1203 Uganda AIDS Com. Secr. S1-49(E) 6 0 0 0 52 0 Construction USAID 0 Equipment and vehicles UNDP 0 Foreign salaries UNICEF 0 Local sataries & atow. WHO 0 other current expend. 52 AIDS Controt-Blood Trans. 1-49(0) 2S.2T 0 0 0 52 402 Construction WHO 5 0 Equipment and vehicles 0 48 Foreign salarIes 0 0 Local salaries & attow. o 0 other current expend. 47 354 AIDS Controt-EPIC/SURV/RES S1-49(C) 5 0 0 0 48 299 Construction WHO .0 0 Equipment and vehicles 0 27 Foreign salaries 0 0 Local salaries & allow. 0 9 Other current expend. 48 263 AIDS Control Prog.-IEC 21-49(g) 3 0 0 0 97 359 Construction WHO 2 0 Equipment and vehIcles 0 80 -150- Appendix FH.3 Page 2 of 6 Foreign salaries 0 0 Local salaries & allow. 0 18 Other current expend. 95 261 AIDS Control Prog. Mgt. SI-49(A) 6 0 0 0 27 143 Con3truction WHO 0 0 Equipment and vehicles 0 47 Foreign salaries 0 0 Local salaries & alLow, 0 25 Other current expend. 27 71 Health Education (ACP) SI-MI 3 0 0 0 0 0 Construction WHO Equipment and vehicles UNICEF Foreign salaries Local salaries & allow. Other current expend. Epidemotogy Research (ACP) SI*NI 0 5 0 0 0 Construction WHO 0 Equipment and vehicles 0 Foreign salaries 0 Local salaries & alow. 5 Other current expend. 0 Laboratory Support (ACP) SI-MI 2S.2? 0 23 28 0 0 Construction WHO 0 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 23 28 Patient Care (ACP) sI-NI 23,;T 0 0 0 0 0 :onstruction WHO Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Population Prog.-MCH/FP SE SI-46(C) 1 0 0 0 12 787 Construction UNAFPA 0 0 Equipment and vehicles 0 13 Foreign salaries 0 0 Local salaries & allow. 1 0 Other current experd. 11 774 Project Code: St-31(B) S1-31(8) 2P 0 0 0 223 176 Construction UK 20 0 Equipment and vehicles AUSTRALIA 114 as Foreign salaries SPAIN 0 0 Local salaries & allow. 0 0 Other current expend. 89 88 Drugs & Equipment Ngt. SI-31(A) 2P 85 18 37 80 540 Construction DENMARK 0 0 0 Equipment and vehicles 0 0 0 Foreign salaries 0 0 0 Local salaries & allow. 5 0 0 0 Other current expend. 13 37 80 540 Control/Prev. Disease-D SI-30(B) 3 0 2 2 56 612 Construction UNICEF 0 0 a Equipment and vehicles 0 0 so Foreign salaries 0 0 0 Local salaries & altow. 2 2 0 0 Other current expend, 0 56 532 Controt/Prev. Ofsease-EPI SI-30(A) 1 12 6 29 186 1003 Construction UNICEF 0 0 0 Equipment and vehicles 0 0 98 Foreign salaries a 0 0 Local salaries & allow. 6 29 0 0 Other current expend. 0 186 905 Heat. Manpower Train-.C.OT SI-29(B) 4 0 0 0 0 112 Construction RCS8 0 Equipment and vehicles 12 Foreign sala-ies 0 Local salaries & allow. Other current expend. 100 -151- Appendix FH.3 Page 3 of 6 Health Training Planning SI-29(A) 4 0 0 0 15 145 Construction CANADA 0 67 Equipment and vehicles 0 17 Foreign salaries 0 0 Local salaries & allow. 0 13 Other current expend. 15 48 Strength. of PHCSanitation SI-28(C) 2P 0 0 0 12 74 Construction UNICEF 0 0 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 9 Other current expend. 12 74 Strength. PHC Serv.-CSHCA S1-28(g) 2P 0 0 0 1 692 Construction UNICEF 0 0 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 1 692 Strength. PHC-Family H/t sz-28(A) 2P 0 0 0 49 806 Construction USAID 0 806 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 49 0 Rehab. of Rural Hosp.-MbaLe SI-06(8) 2S 34 24 36 8 186 Construction ADS 0 0 170 Equipment and vehicles 3 15 0 0 Foreign salaries 0 0 0 Local salaries & allow. 0 0 0 Other current expend. 21 21 8 16 Rehab. of Rural Hosp -FOP SI-06( ) 2S 50 0 0 168 0 ronstruction IDA * 161 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. O Other current expend. 7 Proj. Preparation Facility SI-NI 6 22 0 10 0 0 Construction IDA Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Sexually Trans. Disease SI-NI 3 0 0 0 0 0 Construction WHO Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Transfusion Service SI-74 2S,2T 0 0 0 0 V Construction EEC Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. 1st Health Project SI*782S,2P,3,6 0 31 53 0 0 Construction IDA 4 0 Equipment and vehicles AUSTRIA 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 27 83 Health Information System SI-79 6 0 0 0 0 0 Construction UNICEF Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Opthatmic Clinical Offices SI-29 2P 0 0 0 0 0 Construction RCSB -152- Appendix FH.3 page 4 of 6 Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Mental Child Health S1*29 2P 0 0 0 0 0 Construction RCS8 Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Mental Child Health WS80 2P 0 0 0 0 0 Construction UNFPA Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. National AIDS Train./Inf. SI-81 4 0 2 0 0 0 Construction UNDP Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Medical Equipment NP 2S,2P 0 343 0 0 0 Construction SPAIN Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Mutago Hospital 100 375 200 976 2705 ...U..U.. ... ... ... ... .. Rehab. of MuLago Hospital SI-05( ) 2T 43 163 180 876 560 Construction FRANCE 0 0 0 Equipment and vehicles IDA * 0 0 0 Foreign salaries SCF 13 0 0 Local salaries & allow. 0 0 0 Other current expend. 150 876 560 Institution/Staff Quarters SI-08(N) 2T 0 0 .0 0 200 Construction IDA 100 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. Other current expend. 100 Health Services Rehab. SI-75(N) 21 0 0 20 100 1945 Construction NIGERIA 100 981 Equipment and vehicles ADS 0 259 Foreign salaries OPEC 0 0 Local salaries & allow. 0 0 Other current expend. 0 705 Mutago Complex Infrastruc. SI-95(N) 2T 0 0 0 0 0 Construction IDA Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Steam Rehabilitation SI-05 2? 3 12 0 0 0 Construction ODA 0 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 12 Pre-Investment Study S1-05 2T 0 0 0 0 0 Construction ADS Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Global Rehab. of MuLago SI-0S 2T 0 0 0 0 0 Construction ADS Equipment and vehicles -153- Appendix FH.3 Page S of 6 Foreign salaries Local salaries & allow. Other current expend. Mgt. Strengthening-SCF S1-05 2T 0 0 0 0 0 Construction COA Equipment and vehicles Foreign saLaries Local salaries & etow. Other current expend. Medical Equipment SI-05 2T 53 200 0 0 0 Construction SPAIN Equipment and vehicLes Foreign salaries Local salaries & allow. Other current expend. let Health Project S1*78 2T 0 0 0 0 0 Construction IDA Equipment and vehices Foreign salaries Local salaries & allow. Other current expend. Ministry of Local Governoent 220 189 SO 1189 1029 .. a. m..u- Drugs/Equipment Management SI*31(C) 2P 111 95 89 708 424 Construction DENNARK 0 0 0 Equipment and vehicles 0 0 0 Foreign salaries 0 0 0 Local salarfas & atow. 0 0 0 Other current expend. 95 708 424 Control/Prev. Diseas**COO SI-30(D) 1.3 0 0 7 57 120 Construction UNICEF 0 0 Equipment and vehicles 0 0 Foreign salaries * 0 0 Local salaries & allow. 0 0 Other current expend. $7 120 Control/Prev. Disease-UNEPI SI-30(C) 1.3 85 73 34 269 408 Construction UNICEF 0 0 0 Equipment and vehicles 52 * 37 121 Foreign salaries 0 0 0 Local salaries & attow. 0 0 0 Other current expend. 21 232 287 Strength. of PHC-Sanitation St-28(0) 2P 5 4 9 68 77 Construction UNICEF 0 0 0 Equipment and vehicles 0 0 19 Foreign salaries 0 0 0 Local salaries & allow. 4 46 0 Other current expend. 0 22 58 REN Centers for Disabled SI-20C ) 2P 7 6 11 87 0 Construction UK 32 Equipment and vehicles NORWAY 55 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 0 Rehab. of Health Centers SI-07 2P 0 0 0 0 0 Construction EDF Equipment and v-hices Foreign salaries Local salaries & altow. Other current expend. Primary Health Care 31-07 2P 13 11 0 0 0 Construction DANIDA 0 Equipment and vehicles 0 Foreign salaries 0 Local salaries & att.w. 0 Other current expend. 11 TOTAL 528 1046 614 3595 12533 UUU... ... .....mm -154- Appendix FH.3 Page 6 of 6 Namorandum item: 528 1046 614 3595 12533 Personal health services 459 959 506 2870 8378 1. Preventive 1 54 43 50 361 2054 2. Curative - Totat 404 916 456 2509 6324 Curative - Primry 2P 220 311 160 1228 2789 Curative - Secondary 2S 84 219 82 246 607 Curative - Tertiary (Mu 2T 100 387 214 1035 2928 Curative - Unettocated 2 0 0 0 0 0 3. Camaity health fnterventio 3 47 52 50 474 2556 4. Training 4 0 2 0 15 257 5. Research 5 0 5 0 48 299 6. Administration 6 22 28 58 188 1043 Unclassified -155- Appendix FH.4 Page 1 of 2 Table FH.4: LOCALLY*CONTROLLED CENTRAL GOVERNMENT EXPENDITUR6 IN THE HEALTH SECTOR, BT THIS REPORT'S CLASSIFICATION Cin USh millons) 1989/90 - 1990/91 *- ** 1991/92 *- 1992/93 Actual Budget Actual Budget Actual Budget Personal Health Services 4575 7949 4824 13227 21941 Recurrent 3892 6751 4051 9625 13445 Section 1 225 239 267 732 118 Section 2 - Local Cont. 459 959 506 2870 8378 Preventive 67 71 60 836 2685 Recurrent 13 28 11 475 631 Section 1 0 0 0 0 0 Section 2 - Local Cont. 54 43 50 361 2054 Curative Total 4508 7878 4764 12390 19256 Recurrent 3879 6723 4040 9149 12814 Section 1 225 239 267 732 118 Section 2 - Local Cont. 404 916 456 2509 6324 Curative - Primary 224 319 163 1486 2814 ******.***.**.---. **-- **** **** ---- - - Recurrent 4 9 3 14 25 Section 1 0 0 0 244 0 Section 2 Local Cont. 220 311 160 1228 2789 Curative Secondary 2073 2901 149 4602 5405 Recurrent 1889 2621 1325 3902 4746 Section 1 100 61 42 454 52 Section 2 - Local Cont. 84 219 82 246 607 Curative Tertiary 2211 4658 3151 6302 11038 *****.*****..****** **** .*** *.*. .... .... Recurrent 1987 4093 2712 5233 8044 Section1 125 178 225 34 66 Section 2 * Local Cant. 100 387 214 1035 2928 Curative - Unallocated 0 0 0 0 0 ********---------***** **** ---- ---- .*** .... Recurrent 0 0 0 0 0 Section 1 Section 2 - Local Cant. 0 0 0 0 0 Camunity health interventions 84 132 81 678 2835 Recurrent 37 80 31 129 229 Section 1 0 0 0 75 50 Section 2 - Local Cont. 47 52 50 474 2556 Training 426 808 472 1042 936 .. . -. .. .x. . Recurrent 418 772 427 957 632 Section 1 8 34 45 70 47 Seeton 2 - Local Cont. 0 2 0 15 257 Research 80 157 51 233 519 Recurrent 69 152 51 185 220 Section 1 11 0 0 0 0 Section 2 * Local Cont. 0 5 48 299 Administration 1043 3338 4365 6318 7488 Recurrent 1009 3284 3878 5906 6430 section 1 12 25 429 224 15 Section 2 - Local Cont. 22 28 58 188 1043 Unclassifled 0 0 0 0 0 Section 1 Section 2 - Local Cont. 0 0 0 0 0 -156- Appendix FH.4 Page 2 of 2 Totat 6209 12383 9794 21498 33765 Recurrent 5425 11039 8439 16802 20956 Sectfon 1 256 298 741 1101 276 Sction 2 - Locat Cont. 528 1046 614 3595 12533 7 Pendix FR.5 -157- Page1 lof 6 Table FH.S: DONOR-FINANCED SECTION 2 EXPENDITIE IN THE HEALTH SECTOR, BY PROGRAM AND ECONOMIC CLASSIFICATION OF EXPENDITURE Cin tah aillions) CUSS thousands) This Report's Project Code/ Progrm 1989/90 1990/91 * 1991/92 ** 1992/93 1989/90 1990/ Donor Class. Actual audget Actual Budget Actual Budget SActual SActu Ministry of Health 8911 5451 19285 22186 19778 27881 3520 ........muu . -a - - - ..... Constr. of Rakaf Hospital s1-96(M) 21 0 0 0 160 2547 Construction IDA 160 1651 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 0 896 Strength. Health Ed.-I.E.C. SI-76(9) 3 0 0 0 329 60 Construction IDA 0 0 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 329 60 Strength. Heat. Ed.-HEN 81-76C ) 3 419 315 0 749 918 1311 Construction UNICEF 0 0 0 Equipment and vehicles 20 172 221 Foreign salaries 0 151 149 Local salaries & allow. 0 0 0 Other current expend. 295 426 548 Mgt. Support-Med. Workshop 81-75(D) 28,21 0 0 0 960 1430 Construction IDA 560 834 Equipment and vehicles 400 596 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 0 0 Mgt. Support-P.I.U.(F.N.P.) S1-75(C) 6 0 0 0 369 0 Construction IDA * 0 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 369 Mot. Support-Health Inf. S1-75(A) 6 0 61 0 80 79 Construction UNICEF 0 0 0 Equipment and vehicles 12 0 2 Foreign salaries 24 0 0 Local salaries & allow. 2 0 0 Other current expend. 23 80 77 Aids Control Programme Total 699 8s 889 88 390 2186 162 Uganda AIDS Cam. Secr. 81-49tE) 6 0 0 773 738 0 Construction USAID 3 Equipment and vehicles UNDP 241 Foreign salaries UNICEF 0 Local salaries & allow. WHO 382 Other current expend. 312 AIDS Controt-Blood Trans. S1-49(D) 25.ZT 0 0 13 12 95 Construction WHO 0 0 Equipment and vehicles 0 0 Foreign salaries 0 95 Local salaries & allow. 0 0 Other current expend. 12 0 AIDS ControL-EPIC/SURV/RES S1-49CC) 5 0 0 19 18 95 Construction WHO 0 0 Equipment and vehicles 2 0 Foreign salaries 0 95 Local salaries & allow. 0 0 Other current expend. 16 0 AIDS Control Prog.-IEC 31-490) 3 0 0 67 64 105 Construction WHO 0 0 -158- Appendix FH.5 Page 2 of 6 Equipment and vehicles 0 0 Foreign salaries 0 95 Local salaries & allow. 0 0 Other current expend. 6 10 AIDS Control Prog. Mgt. SI*49(A) 6 77 98 17 16 95 Construction WHO 1 0 0 Equipment and vehicles 29 0 0 Foreign salaries 12 0 0 Local salaries & allow. 13 0 95 Other current expend. 43 16 0 Health Education (ACP) SI-NI 3 219 277 0 0 0 Construction WHO 0 Equipment and vehicles UNICEF 20 Foreign salaries 38 Local salaries & allow. 23 Other current expend, 196 Epidemotogy Research (ACP) SI-NI 5 36 46 0 0 0 Construction WHO 0 Equipment and vehicles 12 Foreign salaries 12 Local salaries & allow. 0 Other current expend. 22 Laboratory Support (ACP) S-NI 2S,2T 213 270 0 0 0 Construction WHO 26 Equipment and vehicLes 15 Foreign salaries 9 Local salaries & allow. 0 Other current expend. 220 Patient Care CACP) SI-NI 2S,2T 153 194 0 0 0 Construction WHO 10 Equipment and vehicles 12 Foreign salaries 8 Local salaries & allow. * 22 Other current expend. 142 Population Prog.*MCH/FP SE SI-46CC) 1 179 0 124 566 572 561 22 Construction UNAFPA 0 0 Equipment and vehicles 57 110 Foreign salaries * 163 253 Local salaries & allow. 0 0 Other current expend. 36 209 Project Code: SI-31(8) SI-31(0) 2P 0 0 0 3404 2622 Construction UK 0 0 Equipment and vehicles AUSTRALIA 3404 2026 Foreign saliries. SPAIN 0 0 Local salaries & allow. 0 0 Other current expend. 0 596 Drugs & Equipment Mgt. S1-31(A) 2P 1903 579 3092 5746 4917 5953 564 Construction DENMARK 0 0 0 Equipment and vehicles 27 0 0 Foreign salaries 10 0 0 Local salaries & allow. 0 0 a Other current expend. S42 5746 4917 Control/Prev. Diseas-CDO S1-30(B) 3 3 167 11 48 328 9 2 Construction UNICEF 0 0 0 Equipment and vehicles 0 0 0 Foreign salaries a 107 48 Local salaries & allow. 0 0 0 Other current expend. 159 577 280 Control/Prev. Disease-EPI SI-30(A) 1 1042 766 1879 2554 3412 3260 343 Construction UNICEF 100 0 0 Fqufpment and vehicles 60 1043 1191 Foreign salaries 46 320 262 Local salaries & allow. 10 0 0 Other current expend. 530 1191 1959 Heal. Manpower Train-O.C.OT S1-29(8) 4 0 124 0 71 0 Construction *CSB 80 0 Equipment and vehicles 3 16 Foreign salaries 0 16 Local salaries & alLow. 5 9 -159- Apendix FH.5 Page 3 of 6 Other current expend. 36 39 Health Training & Planning S1-29(A) 4 65 93 602 215 91 204 109 Construction CANADA 1 0 0 Equipment and vehicles 12 84 0 Foreign salaries 15 8 0 Local salaries & allow. 4 0 0 Other current expend. 61 123 91 Strength. of PHC*Sanitation St-28CC) 2P 177 0 1472 116 58 SSS 268 Construction UNICEF 0 3 Equipment and vehicles 61 55 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. 55 0 Strength. PHC Serv.-CBHCA S1-28(8) 2P 1461 0 2739 127 141 4570 500 Construction UNICEF 0 0 Equipment and vehicles 0 27 Foreign salaries 82 114 Local salaries & allow. 0 0 Other current expend. 45 0 Strength. PHC-FamiLy H/I *SI-28(A) 2P 299 0 0 268 0 937 Construction USAID 0 Equipment and vehicles 0 Foreign salaries 0 Lcal salaries & allow. 0 Cther current expend. 248 Rehab. of Rural Hosp.*Mbate SI-06(B) 2S 110 255 1537 1120 0 345 280 * Ccnstruction ADO 0 397 Equipment and vehicles 212 723 Foreign salaries 34 0 Local salaries & allow. 0 0 Other current expend. 9 0 Rehab. of Rurel Hosp -FHP SI-06( ) 2S 0 0 0 3840 2213 Construction IDA 3730 2026 Equipment and vehicles 0 0 Foreign salaries 0 0 Local salaries & allow. 0 0 Other current expend. * 110 187 Proj. Preparation Facility St-I 6 0 0 0 0 0 Construction IDA Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Sexually Trans. Disease SI-NI 3 0 87 0 0 0 Construction UHO 7 Equipment and vehicles 18 Foreign salaries 12 Local sateries & allow. 8 Other current expend. 42 Transfusion Service SI-74 2S,2T 0 98 0 0 0 Construction EEC 32 Equipment and vehiclas 16 Foreign salaries 0 Local salaries & allow. 13 Other current expend. 37 1st Health Project SI-7825.2P,3,6 2554 816 6938 0 0 7990 1266 Construction IDA 477 Equipment and vehicles AUSTRIA 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 339 Health Information System St*79 6 0 29 0 0 0 Construction UNICEF 0 Equipment and vehicles 11 Foreign satries 0 Local sateries & allow. 4 Other current expend. 14 Opthelmic Clinical Offices S1-29 2P 0 124 0 0 0 -160- Appendix FH.5 Page 4 of 6 Construction acss so Equipment and vehicles 3 Foreign salaries I Local salaries & allow. 4 Other current expend. 36 Mental Child Health SI-29 2P 0 0 0 0 0 Construction RCSB Equipment and vehicles Foreign salaries Local salaries & allou. Other current expend. Mental Child Health SI-SO 2P 0 68 0 0 0 Construction UVFPA 26 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. 13 other current expend. 29 National AIDS Train./Inf. Si-81 4 0 34 0 0 0 Construction UNDP 0 Equipment and vehicles 0 Foreign salaries 0 Local salaries & atLow. 0 Other current expend. 34 Medical Equipment NP 2S,2P 0 950 0 0 0 Construction SPAIN 0 Equipment and vehicles 950 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 0 Mutago Hospital 680 1748 806 3564 5729 2129 147 .....2......' Mum SUM* *= ==msa= a- R*hab. of Mutago Hospital S-OS( ) .2T 128 93 274 2101 592 400 5: Construction FRANCE 0 0 0 Equipment and vehicles IDA 93 1425 354 Foreign salaries SCF 0 276 0 Local salaries & allow. 0 0 0 Other current expend. 0 400 238 Institution/Staff Quarters S1*08(M) 2T 0 0 0 246 119 Construction IDA 55 0 Equipment and vehicles 55 0 Foreign salaries 0 0 Local salaries & allow. O 0 Other current expend. 136 119 Health Services Rehab. s1-75(N) 2T 0 0 0 651 5018 Construction NIGERIA 280 2117 Equipment and vehicles ADS 0 1265 Foreign salaries OPEC 0 0 Local salaries & allow. 0 0 Other current expend. 371 3636 MuLago Complex Infrastruc. SI-95(N) 2T 0 0 0 566 0 Construction IDA 215 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 351 Steam Rehabilitation SI-05 2T 514 41 359 0 0 1607 65 Construction ODA 0 Equipment and vehicles 41 Foreign salaries 0 Local salaries & allow. 0 Other current expend. O Pre-investment Study SI-05 2T 39 19 174 0 0 122 31 Construction ADS 0 Equipment and vehicles 0 Foreign salaris 0 Local salaries & allow. 0 Other current expend. 19 Global Rehab. of MuLago SI-05 2? 0 462 0 0 0 Construction ADS Equipment and vehicles -161- Appendix FH.5 Foreign salaries Page 5 of 6 Local salaries & allow. Other cutrent expend. Mgt. Strengthening*SCF S1-05 2T 0 136 0 0 0 Construction CDA 0 Equipment and vehicles 0 Foreign salaries 36 Local salaries & allow. 0 Othee current expend. 100 Medical Equipment S1-05 2T 0 712 0 0 0 Construction SPAIN Equipment and vehicles Foreign salaries Local salaries & alLow. Other current expend. 1st Health Project SI-78 2T 0 285 0 0 0 Construction IDA Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Ministry of Local Goverrnment 530 1480 820 606 0 1659 149 Drugs/Equipment Management SI*31(C) 2P 0 421 0 0 0 Construction DENMARK 0 Equipment and vehicles 0 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 421 Control/Prev. Disease-CDD SI-30(D) 1.3 0 686 0 0 0 Construction UNICEF 0 0 Equipment and vehicles 200 Foreign salaries 0 Local salaries & aLLow. 1 Other current expend. 485 Control/Prev. Disease-UNEPI SI-30(C) 1,3 0 0 0 0 0 Construction UNICEF Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. Strength. of PHCSanitation SI-28(D) 2P 0 106 0 0 0 Construction UNICEF 0 Equipment and vehicles 106 Foreign salaries 0 Local salaries & allow. 0 Other current expend. 0 REN Centers for Disabled SI-20( ) 2P 0 0 0 606 0 Construction UK 58 Equipment and vehicles NORWAY 88 Foreign salaries 315 Local salaries & allow. 0 Other current expend. 145 Rehab. of Health Centers SI-07 2P 378 267 162 0 0 1183 29 Construction EDF 0 Equipment and vehicles 68 Foreign salaries 0 Local sataris & allow 72 Other current expend. 127 Primary Health Care SI-07 2P 152 0 657 0 0 476 120 Construction DANIDA Equipment and vehicles Foreign salaries Local salaries & allow. Other current expend. TOTAL - PROJECTS IN BUDGET DOCUMENT 10121 8679 20908 26356 25507 31669 3816 3333333333333833333J33333333333was" 3a3=.33=333333338 2 -162- Appendix FH.5 Page 6 of 6 PROJECTS OUTSIO UDGET 00CIMENT 2092 0 5711 0 0 6545 1042 GRAND TOTAL 12213 8679 26620 26356 25507 38214 485 Nlsrsném ite: 12213 8679 26M0 2356 25507 Person l heith service 9879 46 20320 23023 23736 1. Prvntivc 1 1329 1109 2091 3120 3- 2. Curative - Total 8550 5537 18229 19903 19752 Curtive - Prry 2P 5605 2179 11807 10247 773 Curtive • secondry 2S 1996 1329 545 5606 5523 Curative TrntIarv 2T 949 2029 972 4050 6492 Curative . Unllocated 2 0 0 0 0 0 3. Com~fty hetth Interventio 3 1811 1458 3878 1826 1411 4. Trafning 4 88 251 491 286 91 5. Resarch 5 38 46 27 18 95 6. Ad~nistratfon 6 398 278 1705 1203 174 Unassif led .... ... ... ... ... ... .... .. ... ... ... ... ... .... ... ... ... ... ... .... ... ... ... .. ... ... -163- Appendix FH.5a Page 1 of 1 TABLE FH5a: LIST OF PROJECTS OUTSIDE BUDGET DOCUMENT 1989/90 1990/91 Project Donor Actual Actual Program Kftgu. health rehab. Italy 1100 510 2P KCC clinic SCF 31 31 2P W. Nile PHC SCF 182 0 2P Mukono health services Denmark 492 2546 2P Holms health rehab. Italy 200 340 2P Basic health services Germany 0 296 2P Moroto health rehab. Italy 500 850 2P Hoime hospital Italy 800 0 2S Medical Co-op. Korea Rep 96 0 2S Improvemmnt Lacor hospital Italy 1200 1800 2s Rehab. of Mpfgi hospital Finland 115 391 2S 3 experts in Nutago SCF 267 291 2T Nutrition WHO 20 45 1 4 advisers UNEPI SCF 654 278 1 Tuberculosis WHO 18 41 3 Zoonoses WHO 27 60 3 Blindness & Deafness WHO 10 23 3 Disease vector control WHO 47 106 3 Coaunity health proJ. Canada 123 168 3 TB & Leprosy control Italy 400 680 3 Schistosoissis IDRC 62 17 3 Devt. human res. for health WHO 72 162 4 Health sit.\trend analysis WHO 6 14 5 Mgt. Proc. Nat. Health Devt WHO 98 221 6 General prog. development WHO 25 56 6 TOTAL 6545 10426 ........................................................................... -164- Appendix FH.6 Page 1 of 1 Table FH. 6: CENTRAL GOVERNMENT EXPENDITURE IN THE HEALTH SECTOR (in Ush aillions) 1989/90 - 1990/91 - *- 1991/92 -- 1992/93 Actual Budget Actual Budget Actual Budget Locatty-f inanced Expenditure 6209 12383 9794 21498 33719 *******-----.*********.- .*. ***** ..*** ...-- ***** *..... PersonaL health services 4575 7949 4824 13227 21941 1. Preventive 67 71 60 836 2685 2. Curative - Total 4508 7878 4764 12390 19256 Curative - Primary 224 319 163 1486 2814 Curative * Secondary 2073 2901 1419 4602 5405 Curative * Tertiary 2211 4658 3151 6302 11038 Curative - Unallocated 0 0 0 0 0 3. Community health interventions 84 132 81 678 2835 4. Training 426 808 472 1042 936 S. Research 80 157 51 233 519 6. Administration 1043 3338 4365 6318 7488 Other 0 0 0 0 0 Donor Df sbursements 12213 8679 26620 26356 25507 Personal health services 9879 66.6 20320 23023 23736 1. Preventive 1329 1109 2091 3120 3984 2. Curative - Total . 8550 5537 18229 19903 19752 Curative * Primary 5605 2179 11807 10247 7738 Curative * Secondary 1996 1329 5450 5606 5523 Curative * Tertiary 949 2029 972 4050 6492 Curative - Unatlocated 0 0 0 0 0 3. Community health interventions 1811 1458 3878 1826 1411 4. Training 88 251 691 286 91 5. Research 38 46 27 18 95 6. Adninistratfon 398 278 1705 1203 174 Other 0 0 0 0 0 Total Central Government Expenditure 18422 21062 36413 47854 59226 Personal health services 14454 14595 25144 36250 45677 1. Preventive 1396 1180 2152 3956 6669 2. Curative - Total 13057 13415 22992 32293 39008 Curative - Primary 5829 2498 11970 11733 10552 Curative - Secondary 4068 4231 6899 10208 10927 Curative * Tertiary 3160 6687 4123 10352 17529 Curative - Unalocated 0 0 0 0 0 3. Community health interventions 1895 1590 3959 2504 4246 4. Training 514 1059 1163 1328 1027 5. Research 118 203 78 251 614 6. Adainistration 1441 3616 6070 7521 7662 Other 0 0 0 0 0 Source: Statistical Appendix Tables FH.4 and FH.5 TAKA 0.2 PRIMMY SCHOOL ENROLLMENTS , ENROLLMENT RATIOS , BY GENDER AND DISTAICT . 1990 DISTRICT BOYS GIRLS TOTAL 6-12 Xears Enrollment Ratio 6-12 years Enrollment Ratio 6-12 years Enrollment Ratio KAMPALA 78,208 30,797 39.380 77,786 33,930 43.62% 155,994 64,727 41.49% Eampaln 78,208 30,797 39.38% 77,786 33,930 43.621 155,994 64,727 41.491 CENTRAL 400,045 244,615 61.15 397,884 250,183 62.88% 797,929 494,798 62.01% Kalangala 1,281 701 54.72% 1,274 672 52.75% 2,555 1.373 53.74% Luvero 44,583 34,034 76.34% 44,342 33,029 74.49% 88,925 67,063 75.42% Masaka 82,780 31,986 38.641 82,333 34,278 41.63% 165,113 66,264 40.13% Kpigi 90,664 57,106 62.99% 90,175 62,944 69.80% 180,839 120,050 66.39% Mubende 62,144 40,969 65.93% 61,808 39,820 64.43% 123,952 80,789 65.18% Nukono 80,396 56,525 70.31% 79,961 55,718 69.68% 160,357 112,243 70.00% Rakai 38,197 23,294 60.98% 37,991 23,722 62.44% 76,188 47,016 61.71% EASTERN 413,725 361,948 87.49 411,492 286,372 69.59 825,217 648,320 78.56% Iganga 95,395 42,274 44.31% 94,880 37,500 39.52% 190,275 79,774 41.93% Jinja 28,461 22,574 79.32% 28,307 22,111 78.11% 56,768 44,685 78.72% Kamuli 48,387 27,210 56.23% 48,126 22,643 47.05% 96,513 49,853 51.65% Kapchorva 11,491 11,561 100.61% 11,429 9,135 79.93% 22,920 20,696 90.30% Rumi 24,538 34,558 140.83% 24,406 23,288 95.42% 48,944 57,846 118.19 1 Mbule 69,772 78,665 112.75% 69,395 70,494 101.58 139,167 149,159 107.18% c Soroti 43,874 66,261 151.03% 43,637 40,986 93.92% 87,511 107,247 122.55% L1 Tororo 91,807 78,845 85.88% 91,312 60,215 65.94% 183,119 139,060 75.94% NORTHERN 318,607 344,284 108.06% 316,886 198,451 942.631 635,493 542,735 85.40% Apac 46,258 50,638 109.47% 46,009 32,424 70.47% 92,267 83,062 90.02% Arua 63,899 81,038 126.82% 63,553 43,420 68.32% 127,452 124,458 97.65% Gulu 33,960 41,768 122.99% 33,776 25,451 75.35% 67,736 67,219 99.24% Kitgum 35,872 49,254 137.30% 35,678 25,403 71.20% 71,550 74,657 104.34% Kotido 19,808 11,435 57.73% 19,701 5,978 30.34% 39,509 17,413 44.07% Lira 49,885 55,297 110.85% 49,616 32,543 65.59% 99,501 87,840 88.28% Moroto 18,389 5,364 29.17% 18,290 3,577 19.561 36,679 8,941 24.38% Mayo 18,153 17,273 95.15% 18,055 10,473 58.01 36,208 27,746 76.63% Nebbi 32,383 32,217 99.49% 32,208 19,182 59.56% 64,591 51,399 79.58% WESTERN 456,415 335,077 73.41% 453,952 281,257 61.96% 910,367 616,334 67.70% Bundibugyo 11,530 8,152 70.70% 11,468 5,674 49.48 22,998 13,826 60.12% Bushenyi 75,113 59,434 79.13% 74,708 51,531 68.98% 149,821 110,965 74.07% Hoima 39,005 42,896 109.98% 38,794 38,300 98.73% 77,799 81,196 104.37% Kabale 64,628 47,460 73.44% 64,279 35,902 55.85% 128,907 83,362 64.67% Kabarole 73,813 52,844 71.59% 73,414 44,486 60.60% 147,227 97,330 66.11% Kasese 34,787 23,810 68.45% 34,600 18,612 53.79% 69,387 42,422 61.14% Masindi 24,676 23,217 94.09% 24,543 19,030 77.54% 49,219 42,247 85.83% Mbarara 93,010 47,282 50.84% 92,508 40,547 43.83% 185,518 87,829 47.34% Rukungiri 39,853 29,982 75.23% 39,638 27,175 68.56% 79,491 57,157 71.90% ' 7TAL 1,667,000 1,316,721 78.99% 1,658,000 1,050,193 63.34% 3,325,000 2,366,914 71.19%0 Source : Population figures - Mission estimates based on 1991 population census Enrollment figures - HOE 1990 school census ON -166- Appendix E.1a Page 1 of 1 TABLE E.l.a PRIMARY SCHOOL ENROLLMENTS , ENROLLMENT RATIOS SY OISTRICT.1989 £ 1990 DISTRICT Enrottment 6*12 years GER GER 1989 1990 1989 1990 1989 1990 KAMPALA 72,604 64,727 149,754 155,994 48.48% 41.49K Kaffpata 72,604 64,727 149,754 155,994 48.48% 41.49K CENTRAL 532,205 494,798 766,012 797,929 69.48% 62.01% KaLangate 3,388 1,373 2,453 2,555 138.13% 53.74% Luwero 65,430 67,063 85,368 88,925 76.64% 75.42% Masake 70,710 66,264 158,508 165,113 44.61% 40.13% Mpigi 141,594 120,050 173,605 180,839 81.56% 66.39K Mubende 86,819 80,789 118,994 123,952 72.96% 65.18K Mukono 99,799 112,243 153,943 160,357 64.83% 70.00% Rakai 64,465 47,016 73,140 76,188 88.14% 61.71K EASTERN 611,788 648,320 792,208 825,217 77.23% 78.56% Iganga 75,488 79,774 182,664 190,275 41.33% 41.93% Jinja 39,058 44,685 54,497 56,768 71.67% 78.72% Kamutf 50,613 -.,853 92,652 96,513 54.63% 51.65% Kapchorwa 19,414 20,696 22,003 22,920 88.23K 90.30% Kuni 53,034 57,846 46,986 48,944 112.87% 118.19% Mbate 110,710 149,159 133,600 139,167 82.87% 107.18% Sorati 107,076 107,247 84,011 87,511 127.46% 122.55% Toraro 156,395 139,060 175,794 183,119 88.96% 75.94% NORTHERN 437,958 542,735 610,073 635,493 71.79K 85.40% Apac 64,113 83,062 88,576 92,267 72.38% 90.02% Arua 83,909 124,458 122,354 127,452 68.58% 97.65% Gutu 34,496 67,219 65,027 67,736 53.05% 99.24% Kitgun 70,268 74,657 68,688 71,550 102.30% 104.34% Kotido 17,333 17,413 37,929 39,509 45.70% 44.07% Lira 87,841 87,840 95,521 99,501 91.96% 88.28% Moroto 9,799 8,941 35,212 36,679 27.83K 24.38% Moya 20,129 27,746 34,760 36,208 57.91% 76.63% Nebbi 50,070 51,399 62,007 64,591 80.75% 79.58% WESTERN 649,604 616,334 873,952 910,367 74.33% 67.70% Bundibuqyo 11,547 13,826 22,078 22,998 52.30% 60.12% Sushenyi 112,553 110,965 143,828 149,821 78.26K 74.07% Hoima 120,482 81,196 74,687 77,799 161.32% 104.37% Kabale 74,191 83,362 123,751 128,907 59.95% 64.67% KabaroLe 89,946 97,330 141,338 147,227 63.64% 66.11% Kasese 24,552 42,422 66,612 69,387 36.86% 61.14% Masindi 34,598 42,247 47,250 49,219 73.22% 85.83% Mbarara 118,340 87,829 178,097 185,518 66.45% 47.34% Rukungirl 63,395 57,157 76,311 79,491 83.07% 71.90K TOTAL 2,304,159 2,366,914 3,192,000 3,325,000 72.19K 71.19K Eivollment data from 1989 and 1990 school censuses. Age-grlup data are mission esti-ates based on life tables used in de-topranhic projections. TanE E.2 PRIMARY SCROOL MROLIMEUlS BT GADE GE~E AKM DISTRICT . 1990 DiIiRMC BOTS GIRLS pi. 1 P2 P 3 P4 PS P& P7 TOIAL Pi P2 p' P4 PS P6 P7 TOALIIOTAL t Apac 10,212 8.354 7,4-8 6,471 6,074 5,934 5,595 53,638 8.819 6,324 5,577 3,757 3.214 2,935 ',798 32,424 63.062 2 Arum 23,29 13.425 12.036 9,752 8,250 7,18 7,332 81,038 15.763 7,899 6,595 4.609 3,776 2,788 1,790 43,420 124,458 3 Bndibugyo 2,233 1,447 1,373 5.059 759 654 627 8,152 1,846 3.100 973 720 484 302 249 5,674 13,826 4 Dushenyl 15,913 11,149 9,914 7,473 6,263 5,236 3,486 59,434 14,030 9,777 8,846 6,777 5,264 4,557 2,280 51,531 110,965 5 Gulu 10,827 7,789 6.529 5,482 4,599 3,507 3,035 41,7608 ,139 5,227 3,979 3,035 2,270 1,721 1,084 25,451 67,219 6 Bolna 10,990 9,118 7,422 5,671 4,219 3,230 2,100 42.896 9,925 8,004 6,654 5,098 3,779 2,967 1,873 38,300 81.196 7 Iganga 8,633 6,993 7.363 5,987 5,1B3 4,092 4,023 42,274 7,916 6,338 6.527 5,662 4,603 3,596 2,858 37,500 79,774 9 Jinja 4,622 3,647 3,951 3,385 2,733 2,328 1,908 22,574 4.463 3.531 4,022 3,153 2,838 2,316 1,722 22,111 44,685 9 abale 11.2608 9,018 7.95. 6.361 5,016 4,226 3,620 47,460 9,399 7,129 6,546 4,763 3,630 2,847 1.988 35,902 83,362 10 Kabarole 13,825 10.157 8,901 7,004 5,295 4,163 3,499 52,844 11.935 8,86) 7,733 5,775 4,248 3,378 2,556 44,486 97,330 &J Kolangala 204 139 120 31 70 59 32 705 201 101 521 80 76 53 40 672 1,373 12 Kampala 5,343 5,353 5,617 4,527 3,776 3.505 2,676 30,797 5.664 5,396 6,115 -.148 4,457 4,092 2,958 33,930 64,727 13 Kamuli 5,60 4,585 4,572 3,909 3,366 2.679 2,498 27,210 4,790 3,962 4.015 3,350 2,835 2, '.6 5,525 22.643 49,853 14 Rapchorwe 2.189 1,767 1,691 1,534 5.467 1,339 1,574 55,565 1,958 5.565 1.38 I116 1,117 1,064 875 9,135 20,696 15 &ese 5,331 4,369 4,168 3,453 2,651 2,045 1,81 23,810 4,485 3,588 3,464 2,722 1,964 1,449 944 18,612 42,422 I6 Ritgum 11, 363 9,711 8,180 6,288 5,313 4,600 3,739 49,254 ),777 5,765 4,253 2,903 2,370 1,517 818 25,403 74,457 11 Kotido 4,083 2,100 1,593 1.200 965 908 586 11.435 2,559 1,120 825 505 430 309 230 5,978 17,411 l8 ui 8,773 6,695 5,158 4,532 3,726 2,992 2,326 34,558 7,100 4,660 3,629 2,813 2.293 1,705 1,088 23,238 57,846 - 59 Lira 10,648 9,519 8,571 7,146 6,855 6,464 6,134 55,297 8,685 6,631 5,288 3,674 3,621 2,729 1,915 32,543 87,840 20 Luwro 8,681 5,832 5,9p3 5,005 3.807 2,816 1,910 34,034 8,314 5,805 5,727 5,085 3,776 2,702 1,620 33,029 67,065 21 maska 6,332 5,664 5,23, 4,060 4,047 3.359 2,489 31,986 6,436 5,921 5.750 5,103 4,598 3,765 2,705 34,278 66.264 22 Kasindi 5.801 4,421 4,044 3.528 2,295 1,868 1,660 23,217 5,132 3,580 3,205 2,509 1,982 5,516 1.15 19,030 42.247 23 Mbale 16,257 13,235 13,063 55,592 10.099 8,110 6,309 78,665 15.356 12,424 11,636 10,399 8,751 7,023 4.905 70.494 149.159 24 Mbarare 11,466 8,353 7,804 6,354 5,156 4,285 3,864 41,282 30,075 7,420 6,848 5,467 4,531 3,513 2.633 40,547 87,829 25 Noroto 2,771 5,034 549 309 225 226 254 5,364 1,962 69$ 294 199 136 525 160 3,577 8,94 26 Hoyo 4,585 3,376 2.615 2.185 1,?86 1,531 1,399 17,273 3,209 ',288 1,849 1,191 922 608 406 10,473 27,746 27 Mpigi 12.600 9,792 50.043 8, 369 6,820 5,293 4,589 57,506 13,000 10,451 10,8>0 9.165 7,897 6,600 5.001 62,944 120,050 28 Hubende 10,483 7,546 7,015 5,584 4,499 3,398 2,447 40,969 10,270 7,407 6,712 5,554 4,243 3,409 2,225 39,820 80,789 29 Hukono 12,781 9,764 9,936 8,507 6,653 s,084 4,196 56,525 12,343 9,358 9,128 8,5i0 6,791 5,485 3,903 55,718 112,243 30 Mebbi 9,317 5,967 4,932 3,945 3,152 2,551 2,353 32,217 6,753 3,870 3,096 2,227 1,400 1,073 763 19,382 51,399 31 Raka! 5,772 4,484 3,913 3,079 2,536 2,054 3,456 23.294 5,767 4.582 3,943 3,169 2,573 ,,139 1.549 23,722 47,016 32 Rukungiri 6,765 5,616 4,894 4,208 3,122 2,754 2,623 29,982 6,427 5,318 4,650 3,777 2,850 2,364 1,789 27.175 57,157 33 Soroti 17,065 12,988 10,696 8,407 6,884 5,747 4,474 6,26 14,151 9,056 6,293 4,505 3.365 2,309 1,307 40,986 107,247 34 ToKoro 18,174 13.341 12,832 1,000 9,112 7,603 6,743 78,845 14,841 10.664 10,097 8,402 6,940 5,365 3,906 60,215 139,060 TOAL 313.639 236,804 217.295 17,449 146.759 12!.158 103,057 1,316,721 269.446 195,826 176,798 140.918 114,024 90.607 62,574 5.050.193 2. ,66,94 Source : KME 5990 School Census OQ >0 <D C O5 tri TABLE 1.3 PRIARY SCHOOL TEACEERS 8 GRADE , GENDER AND DISTRICT . 1990 Gi G2 G3 G4 65 6 Li UT TTAL Gl G2 G3 G4 G5 66 Li UT 10TAL T I Apac 7 l89 1,186 l 0 22 74 1,426 2,905 a 59 184 0 0 4 12 0 267 3,172 45% 2 Arus 26 261 479 2 l 6 400 547 1,722 7 95 169 0 0 6 51 97 425 2,147 304 3 sandibugyo 6 le 96 0 0 0 0 345 465 2 4 II l 0 0 0 50s 67 si2 744 4 asheni 9 207 1,169 2 0 2 4 16 711 2,288 5 100 644 0 0 0 61 240 ,050 3,1138 284 5 Gule 4 207 604 5 0 0 136 439 1,395 19 80 220 0 0 0 27 s 404 1,.,9 28% 6 "olma 19 150 388 5 6 7 343 1,213 2,131 15 46 186 2 0 3 171 417 790 2,921 564 7 fganga 16 223 784 7 4 5 420 1,114 2,573 10 133 382 I 2 2 142 406 1,078 3,651 424 a,iinja l 50 422 1 13 1 178 lI 777 1 85 458 0 4 0 91 83 722 1,499 136 9 gabale 24 197 1,053 5 6 l 64 1,058 2,408 15 104 493 0 2 l 10 215 840 3,248 396 10 Kabarole 21 285 628 9 4 1 55 1,409 2,412 14 186 466 0 0 0 16 513 1.195 3,607 536 i ilalangala 3 4 13 0 0 0 12 15 47 0 5 4 0 0 0 a 25 42 89 456 12 Fapala 2 54 749 12 2% 13 33 32 920 2 182 990 22 16 6 41 l8 1,277 2,197 2% 13 Iamuli 21 127 534 12 12 2 120 905 1,733 13 86 214 0 1 1 60 344 719 2.452 515 J4 Kapchorva 4 30 291 1 0 0 31 209 566 0 15 122 0 1 0 IS 44 193 759 33k 15 Rages. l 40 306 4 3 3 209 646 1,212 0 24 I58 4 1 0 54 141 382 1,594 49% 16 gitgum II 126 521 0 4 0 26 947 1,635 6 52 87 0 0 1 5 136 287 1,922 564 37 Kotido 8 49 159 0 0 0 47 214 477 3 9 23 0 0 0 5 25 63 540 446 18 Kui 7 142 659 0 2 0 20 409 5,239 10 74 263 0 0 0 1 50 398 1,637 286 19 Lira 5 528 1,116 0 0 0 99 552 1,900 12 68 187 3 0 0 9 64 343 2,243 27% 20 Luwero 57 90 355 2 15 0 283 916 1,714 10 60 168 0 2 0 154 551 966 2,700 576 , 21 masaka 10 161 491 4 8 9 191 739 1,613 27 326 434 3 l 9 127 523 3,450 3,063 41t 22 Haslndi 4 61 256 l 4 2 96 549 973 6 41 )57 4 0 0 55 222 485 1,458 534 2) Hba,e 25 341 1,544 30 8 l 246 1,621 3.816 37 296 1,149 6 2 1 65 427 1,983 5,799 356 24 Mbar4ra 23 241 990 I 5 3I 459 .838 2.589 12 131 566 1 0 8 193 258 1,175 3,763 216 25 moroto 0 18 124 0 0 0 47 68 257 0 11 62 0 3 0 9 5 90 347 21f 2 Hoy., 22 135 124 0 0 3 92 248 624 14 41 36 0 0 1 13 35 146 7701 37% 27 Hpigi 37 191 840 4 36 2 -83 778 2,221 52 283 644 l le l 34? 53B 1,884 4,105 316 »BHubende 23 16: 509 5 18 2 202 1,133 2,059 10 50 221 0 j 0 80 633 3,049 3,108 574 29 Kukono 14 132 844 3 32 4 267 1,500 2,396 ' 20 153 514 0 4 2 149 640 1.502 3,898 456 30 Mebbi SI 219 424 8 4 0 245 1,057 1.968 11 65 89 4 0 0 31 127 327 2.295 52t 31 Rakal 9 120 231 0 2 l 59 728 1,150 10 92 17 0 1 0 47 400 627 3,777 636 32 RuAingiri 8 142 695 0 I 7 117 378 1,344 3 82 341 1 0 1 35 85 548 1,892 241 33 Soroti 12 283 963 4 6 0 153 1,419 2,840 1 90 336 0 0 0 5 191 623 3,463 466 34 Tororo 47 563 1,888 8 8 l 717 1,392 4,644 23 361 670 2 I 1 169 '73 1,720 6,364 266 TAL _ 457 _351 21,417 ¯36 229 126 6,030 25,276 59,032 376 3,595 10,945 54 61 4B 2,204 7,P34 25,117 e4,,9 3946 source 8 Moe 1990 School Census 0 x og -169- Appendix E.4 Page 1 of 1 TABLE E.4 PRIMARY STUDENT/TEACHER RATIOS & j"UDENT/TRAINED TEACHER RATIOS,BY D1STRICT 1990 DISTIT TOTAL TRAINED TOTAL STUDENT/ STUDENT/ TEACHERS TEACHERS STUDENTS TEA. TRAINED TEA. I I RATIO RATIO 1 Apac 3,172 1,746 83,062 26.2 47.6 2 Arua 2,147 1,503 124,458 58.0 82.8 3 Bundibugyo 532 137 13,826 26.0 100.9 4 Busheni 3,338 2,387 110,965 33.2 46.5 5 Gulu 1,799 1,302 67,219 37.4 51.6 6 Hoima 2,921 1,291 81,196 27.8 62.9 7 Iganga 3,651 2,13J 79,774 23.8 37.4 8 Jinja 1,499 1,305 44,685 29.8 34.2 9 Kabale 3,248 1,975 83,362 25.7 42.2 10 Kabarole 3,607 1,685 97,330 27.0 57.8 11 Kalangala 89 49 1,373 15.4 28.0 12 Kampala 2,197 2,147 64,727 29.5 30.1 13 Kamuli 2,452 1,203 49,853 20.3 41.4 14 Kapchorwa 759 506 20,696 27.3 40.9 15 Kasese ',F94 807 42,422 26.6 52.6 16 Kitgum 1,9:2 839 74,657 38.8 89.0 17 Kotido 540 301 17,413 32.2 57.9 18 Kumi 1,637 1,178 57,846 35.3 49.1 19 Lira 2,243 1,627 87,840 39.2 54.0 20 Luwero 2,700 1,173 67,063 24.8 57.2 21 Masaka 3,063 1,801 66,264 21.6 36.8 22 Masindi 1,458 687 42,247 29.0 61.5 23 Mbale 5,799 3,751 149,159 25.7 39.8 24 Mbarara 3,763 2,667 e" 829 23.3 32.9 25 Moroto 347 274 8,941 25.8 32.6 .'6 Moyo 770 487 27,746 36.0 57.0 d7 Mpigi 4,105 2,839 120,050 29.2 42.3 28 Mubende 3,108 1,342 80,789 26.0 60.2 29 Mukono 3,898 2,158 112,243 28.8 52.0 30 Nebbi 2,295 1,111 51,399 22.4 4r.3 31 Rakai 1,777 649 47,016 26.5 72.4 32 Rukungiri 1,892 1,429 57,157 30.2 40.0 33 Soroti 3,463 1,853 107,247 31.0 57.9 34 Tororo 6,364 4,699 139,060 21.9 29.6 TOTAL 84,149 51,039 2,366,914 28.1 46.4 Source : MOE 1990 School Census -170- Appendix E.5 Page 1 of 1 TA8LE E.5 : COITIM P ERINMT AIDED PIl»RY SC^00L SUILDINGS Y DISTRICT . 1989 DISTRICT SCHIOLS N0. OF CLASS-ROMS. NO. OF OTHER ROMS pEM SEMI- TEMP TOTAL RATIO % PERN SEMI- TE TOTAL RATIO % PER* PERM/LT PERN PER/ITL 1 Apac 230 281 776 760 1817 15.5 127 287 269 683 18.6 2 Arua 254 1169 324 723 2216 52.8 367 73 200 640 57.3 3 Bundibugyo 52 32 202 121 355 9.0 3 51 22 76 3.9 4 Susheni 451 1571 1265 611 3447 45.6 532 337 173 1042 51.1 5 Gutu 142 577 271 275 1123 51.4 222 65 72 359 61.8 6 Holim 194 669 395 921 1985 33.7 168 160 103 431 39.0 7 Iganga 333 1080 318 883 2281 47.3 334 54 151 539 62.0 8 Jinja 84 502 142 79 743 67.6 185 16 12 213 86.9 9 Kabel* 346 1250 1338 182 2/70 45.1 378 333 92 803 47.1 10 Kabarote 209 912 585 944 2441 37.4 242 250 l!3 610 39.7 11 Katangata 16 52 24 17 93 55.9 24 9 2 35 68.6 12 KaapaLa 71 874 37 11 922 94.8 346 9 6 361 95.8 13 Kaut i 175 658 180 309 1147 57.4 249 63 51 363 68.6 14 Kapchora 44 61 228 27 316 19.3 24 41 1 66 36.4 15 Kase 150 293 396 484 1173 25.0 107 106 152 365 29.3 16 Kitgem 198 393 284 606 1283 30.6 130 101 85 316 41.1 17 Kotido 76 57 218 118 393 14.5 32 48 39 119 26.9 18 Kuni 115. 498 161 134 793 62.8 135 15 25 175 77.1 19 Lire 210 265 650 800 1715 15.5 147 301 277 725 20.3 20 Luwero 161 738 185 112 1035 71.3 247 30 7 284 87.0 21 gasaka 241 1320 386 203 1909 69.1 369 63 27 459 80.4 22 Kasindt 145 413 179 363 955 43.2 136 41 41 218 62.4 23 Mbate 416 680 1731 762 3173 21.4 249 402 104 755 33.0 24 Mbarara 394 664 1507 922 3093 21.5 222 393 278 893 24.9 25 Moroto 48 119 113 21 253 47.0 54 14 20 88 61.4 26 Moyo 60 220 0 109 329 66.9 133 0 9 142 93.7 27 Mpigi 340 1897 431 276 2604 72.8 768 134 28- 930 82.6 28 Nub 211 787 260 375 1422 55.3 219 176 48 443 49.4 29 Mukono 304 1365 356 375 2096 65.1 431 52 47 530 81.3 30 mebbi 175 385 169 74' 1296 29.7 97 43 138 278 34.9 31 Rakai 188 726 465 282 '.473 49.3 223 91 59 373 59.8 32 Rukungiri 268 49'5 1196 257 1948 25.4 123 343 65 531 23.2 33 Soroti 331 670 2% 1350 2316 28.9 215 60 152 427 50.4 34 Tororo 441 1029 908 1249 3186 32.3 323 183 263 *g9 42.0 TOTAL 7073 22702 15976 15423 54101 42.0 7561 4344 3136 15041 50.3 Source MOE 1989 Schoot Cmnus -171- Appendix E.6 Page 1 of 1 TABLE E.6 CENTRAL GOVERNMENT EXPENDITURE ON PRIMARY EDUCATION & UNIT COST BY DISTRICT. 1991 1992 DISTRICT SALARY SCHOOL TOTAL TOTAL UNIT SUPPLIES STUDENTS COST U.Shs.OOO U.Shs.*000 U.Shr.'000 I Apec 307,763 132,847 440.611 83062 5.30 2 Arua 526,799 415,777 942,576 124458 7.57 3 Bundibugyo 104,058 42,928 146,98? 13826 10.63 4 Bushenf 499,962 251,425 751,387 110965 6.77 5 Gulu 361,137 182,670 543.807 67219 8.09 6 Holm 399,407 226,532 625,939 81196 7.71 7 Igange 462,046 281,159 743,205 79774 9.32 8 Jinja 185,906 145,232 331,138 44685 7.41 9 Kabole 517,402 334,180 851,582 83362 10.22 10 Kaberole 424,513 264,910 689,423 97330 7.08 11 Katangate 21,365 4,766 26,131 1373 19.03 12 Kanpata 350,167 216,369 566,536 64727 8.75 13 Kamuti 293,323 157,327 450,650 49853 9.04 14 Kapchorue 103,311 63,093 166,404 20696 8.04 15 Kasese 210,364 127,979 338,343 42422 7.98 16 Kitgu 218,598 191,94 410,541 74657 5.50 17 Kotldo 60,363 81,354 142,217 17413 8.17 18 Kuni 223,375 171,906 395,282 57846 6.83 19 Lire 359,487 272,595 632,082 87840 7.20 20 Lumero 310,583 200,397 510,981 67063 7.62 21 Masake 356,352 242,978 599,330 66264 9.04 22 Masindi 221,150 103,911 325,060 42247 7.69 23 Mbete 723,264 414,027 1,137,292 149159 7.62 24 Mbarara 566,273 393,902 960,175 87829 10.93 25 Moroto 49,550 .23, 175 72,726 8941 8.13 26 Moyo 82,674 66,809 149,4C? 27746 5.39 27 Mpigi 541,360 434,082 975,442 120050 8.13 28 Mubende 371,768 241,727 613,495 80789 7.59 29 Mukono 402,953 308,177 711,130 112243 6.34 30 Nebbf 235,593 142,110 377,703 51399 7.35 31 Rakai 264,153 212,230 476,383 47016 10.13 32 Rukungfri 234,496 181,563 416,059 57157 7.28 33 Sorott 548,338 295,529 843,867 107247 7.87 34 Tororo 825,429 393,820 1,219,248 139060 8.77 TOTAL 11,363,782 7,219,429 18,583,211 2366914 7.85 Source : MOE for salaries ; MOLG for school suppLies. Enrottment data from 1990-SchooL Census. -172- Appendix E.7 Page 1 of 1 TABLE E.7 PRIMARY SCHOOL CURRICULUM BY SUBJECT AND GRADE . 1991 SUBJECT P.1 P.2 P.3 P.4 P.5 P.6 P.7 Number of periods per subject per week. Language 11 11 10 10 9 7 6 Arithmetic 5 5 7 7 5 6 7 Science / Health 4 4 7 7 8 8 8 Social Studies - - 4 4 4 6 6 Religion 5 5 5 5 4 4 4 Arts /Crafts 2 2 2 2 2 2 2 Music 1 1 2 2 2 2 2 Physical Education 5 5 5 5 4 4 4 Total 33 33 42 42 38 39 39 Notes 1 For P.1 - P.4 periods are of 30 minutes duration. For P.5 - P.7 periods are of 40 minutes duration. 2 Language: In P.1 - P.2 ( rural areas ) the local language is usually taught. In P.1 - P.2 ( urban areas) English is taught. In P.3 - P.7 English is taught throu-out. Source : MOE Primary School Inspectorate -173- Appendix E.8 Page 1 of 1 TABLE Z.8 SECONDARY ENROLLMENTS, ENROLLMENT RATIOS, TEACHERS AND STUDENT/TEACHER RATIOS BY DISTRICT, 1989 DISTRICT SECONDARY SCHOOLS POPULATION Schools Students % Teachers % Student/I 13-i S GER Female Untrained Teacher '000 1 KAMPALA 20 26,269 37% 1,156 14% 22.72 86.90 30.00 Kampala 20 26,269 37% 1,156 14% 22.72 86.9 30.00 CENTRAL 105 47,286 42% 2,191 37% 21.45 556.60 8.50 Kalangala Luwero 11 5,683 39% 231 40% 24.60 73.1 8.00 Masaka 22 7,334 37% 403 36% 18.20 115.3 6.00 Mpigi 25 13,573 46% 592 24% 22.93 112.6 12.00 Mubende 11 4,042 41% 214 47% 18.89 98.8 4.00 Mukono 23 11,324 39% 505 34% 22.42 104.3 11.00 Rakai 13 5,330 49% 246 39% 21.67 52.5 10.00 EASTERN 113 62,868 32% 2,704 36% 22.44 565.30 11.75 Iganga 12 8,485 39% 334 38% 25.40 117.2 7.00 Jinja 9 7,987 25% 424 17% 18.84 36.8 22.00 Kamuli 8 3,012 39% 156 38% 19.31 60.3 5.00 Kapchzrwa 5 2,202 321 105 59% 20.97 12.1 18.00 Rumi 3 1,822 30% 84 21% 21.69 41.1 4.00 Mbale 25 14,998 40% 680 39% 22.06 99.4 15.00 Soroti 13 4,896 22% 203 35% 24.12 82.3 6.00 Tororo 38 19,466 30% 718 37% 27.11 116.1 17.00 NORTHERN 99 35,922 29t 1,802 47% 19.76 422.80 7.67 Apac 15 6,271 26% 302 42% 20.76 57.5 11.00 Arua 20 6,771 26% 382 40% 17.73 82.4 8.00 Gulu 16 3,942 22% 226 32% 17.00 45.4 8.00 Kitqum 9 3,303 20% 142 52% 23.26 53.8 6.00 Kotido 3 670 30% 38 63% 17.63 31.1 2.00 Lira 23 10,304 19% 471 42% 21.88 66.2 16.00 Moroto 3 992 31% 49 67% 20.24 30.7 3.00 Moyo 4 1,650 62% 97 341 17.01 17.6 9.00 Nebbi 6 2,119 26% 95 48% 22.31 38.1 6.00 WESTERN 187 62,118 34% 3,493 43% 20.57 623.20 9.44 Bundibugyc 2 1,205 25% 31 38% 38.87 21.4 6.00 Bushenyi 43 12,990 34% 746 47% 17.41 91 14.00 Hoima 12 4,332 41% 228 47% 19.00 57.9 7.00 "abale 26 8,597 29% 482 40% 17.84 72.8 12.00 Kabarole 26 9,221 39% 424 39% 21.75 101.4 9.00 Kasese 8 3,078 33% 175 55% 17.59 56 5.00 Masindi 7 3,745 30% 171 34% 21.90 39.9 9.00 Mbarara 36 12,123 32% 797 39% 15.21 132.5 9.00 Rukungiri 27 6,827 40% 439 48% 15.55 50.3 14.00 TOTAL 524 234,463 35% 11,346 35% 21.39 2,254.80 13.47 Source : Evans, D. Repjblic of Uganda. A Pre-Investment Study : Teachez Education in Uganda 1990 - 2003. Table AS, page A7. SECONDARY ENROLLMENT BY GRADE, GENDER AND DISTRICT 1990 TABLE E.9: SECONDARY SCHOOL ENROLLMENT BY GRADE , GENDER AND DISTRICT. 1990 S GRAWbj DITRCTBOYS GIRLS GRANZ sl S2 S3 S4 s5 S6 A s1 S2 s3 S4 S5 S6 TOTAL T I Apac 1,053 1,048 1,820 851 13 84 4,969 490 454 360 269 22 22 1,617 6,586 2 Arua 1,313 1,253 1,115 993 370 317 5,361 535 457 379 321 82 93 1,867 7,228 3 Bundibugyo 389 340 275 182 57 43 1,286 148 151 93 51 5 4 452 1,738 4 Busheni 1,793 1,691 1,517 1,476 491 528 7,496 1,140 1,035 852 719 165 160 4,071 11,567 5 Gulu 1,044 942 781 493 265 166 3,C41 314 331 265 123 34 32 1,099 4,790 6 Homa 873 731 572 463 67 117 2,823 619 543 410 320 46 39 1,977 4,800 7 Iganga 1,435 1,404 1,219 983 170 219 5,430 1,146 1,009 915 663 191 232 4.156 9,586 8 Jinja 1,101 1,197 1,150 1,092 609 752 5,901 716 668 574 507 203 169 2,837 8,738 9 Rabale 1,335 1,286 1,163 1,048 424 377 5,633 571 506 459 301 78 94 2,009 7,642 10 Rabarole 1,411 1,300 1,224 1,071 407 415 5,828 1,000 1,033 805 624 99 94 3,655 9,483 IIEalangala 14 15 7 13 0 0 49 20 7 5 3 0 0 35 84 12 Kampala 2,793 2,944 3,140 2,916 1,863 2,309 15,965 2,602 2,464 2,430 2,032 793 943 11,264 27,229 13 Kamul1 953 898 744 608 168 160 3,531 605 560 489 378 117 93 2,242 5,773 14 Rapchorwa 468 4;7 293 283 76 61 1,658 287 202 121 121 14 7 752 2,410 15 Kasese 674 635 535 447 85 85 2,461 384 362 23) 162 25 22 1,194 3,655 16 Ritgua 794 620 518 380 90 144 2,554 331 174 188 102 6 14 815 3,369 17 Rotido 132 137 83 69 45 0 466 44 14 15 15 2 0 90 556 IS umi 310 323 290 271 52 82 1,328 183 188 168 132 10 19 700 2,028 19 Lira 1,965 1,998 1,866 1,850 612 794 9,085 532 559 439 349 93 163 2,135 11,220 70 Luwero 625 723 443 2i2 101 116 2,320 389 537 384 185 63 57 1,615 3,935 21 Masaka 1,020 831 849 r19 193 256 3,738 918 889 761 494 107 71 3,240 6,978 22 Kasindi 535 517 433 361 134 159 2,139 381 262 234 171 29 23 1,100 3,239 23 Nbale 2,378 2,364 2,219 1,889 643 659 10,152 1,717 1,647 1,425 1,192 201 194 6,376 16,528 24 Mbarara 1,824 1,653 1,594 1.44) 480 471 7,462 1,160 1,014 882 735 143 149 4,083 11,545 25 oroto 151 147 139 133 54 56 680 54 74 86 49 29 . 300 980 26 Hoyo 456 380 342 254 23 23 1,478 159 141 94 74 7 7 482 1,960 27 Hpigi 1,903 1,738 1,499 1,249 427 486 7,302 2,362 2,051 1,639 1,402 462 365 8,281 15,583 28 Hubende 906 910 799 522 118 132 3,387 821 665 535 369 s 26 2,474 5,861 29 Nukono 1,822 1,686 1,523 1,184 407 432 7,054 1,834 1,596 1,284 873 244 203 6,034 13,088 30 Nebbi 708 631 560 404 205 201 2,709 445 349 330 202 159 150 1,635 4,344 31 Rakai 679 575 480 404 77 56 2,271 761 702 646 405 67 50 2,631 4,902 32 Rukungiri 1,067 985 977 840 155 229 4,253 898 805 726 552 111 156 3,248 7,501 33 Soroti 1,093 A,054 833 835 235 230 4,280 378 457 397 269 30 24 1,555 5,835 34 Tororo 3,316 3,322 3,119 2,418 944 1,044 14,163 1,821 1,720 1,422 1,133 155 165 6,416 20,579 TOTAL 38,333 36,755 34,121 28,331 10,160 11,203 158,903 25,765 23,626 20,051 15,297 3,850 3,848 92,437 251,340 Source s HOE 1990 School Census PC 0* t%tb TABLE E.10 SECONDARY SCHOOL T7ACHERS BY FULL TIME/PART TIME, GENDER AND DISTRICT. 1990 ITICT1 MALE FEMALE TEiiERS] xFULL TIME PART TIME TOTAL FULL TIME PART TIME TOTAL TOTAL I Apac 254 50 304 14 2 16 320 2 Arua 303 170 473 35 14 49 522 3 Bundibugyo 81 19 100 3 0 3 103 4 Busheni 565 273 838 103 23 126 964 5 Gulu 208 117 325 25 8 33 358 6 Hoima 208 136 344 19 8 27 371 7 Iganga 300 53 353 19 8 27 380 8 Jinja 288 69 357 135 10 145 502 9 Kabale 370 209 579 45 25 70 649 10 Kabarole 310 223 533 47 17 64 597 11 Kalangala 8 0 8 1 0 1 9 12 Kampala 610 231 841 473 54 527 1,368 13 Kamuli 257 39 296 35 4 39 335 14 Kapchorwa 106 15 121 11 2 13 134 15 Kasese 171 25 196 19 6 25 221 1 16 Ritgum 143 42 185 15 2 17 202 -1 17 Kotido 18 11 29 2 0 2 31 Ln 18 Kumi 69 46 115 8 6 14 129 19 Lira 492 55 547 41 2 43 590 20 Luvero 135 55 190 28 5 33 223 21 Masaka 268 104 372 65 13 78 450 22 Masindi 132 113 245 18 12 30 275 23 Mbale 411 258 669 103 48 151 820 24 Mbarara 578 104 682 125 15 140 822 25 Moroto 37 7 44 13 0 13 57 26 Moyo 100 18 118 21 3 24 142 27 ':pigi 463 232 695 219 43 262 957 28 Mubende 245 97 342 40 7 47 389 29 Mukono 399 129 528 88 15 103 631 30 Nebbi 167 46 213 5 3 8 221 31 Rakai 154 100 254 31 6 37 291 32 Rukungiri 420 158 578 56 34 90 668 33 Soroti 167 140 307 22 9 31 338 34 Tororo 314 294 608 108 17 125 733 TOTAL 8,751 3,638 12,389 1,992 421 2,413 14 802 09 0 Source : MOE 1990 Secondary School Census M M Ox -176- Appendix E.11 Page 1 of 1 Table E. 11 MINISTRY OF EDUCATION PAYROLL, 1991/92 (in USh million) Monthly Annual Percent .*1990/91-- Program Payroll Payroll Distribution Budget Actual Headquarters 16.4 196.8 1.2 109 82 Teacher Education 59.9 718.8 4.5 397 300 Primary Teachers 950.0 11400.0 71.4 6293 4754 Secondary Teachers 243.8 2925.6 18.3 1615 1220 Technical Education 41.5 498.0 3.1 275 208 Higher Education 19.5 234.0 1.5 129 98 (Mbarar&) Total 1331.1 15973.2 100.0 8817 6661 Source: Ministry of Education Appendix E.12 Page 1 of 1 TABLE E.12 SECONDARY SCHOOL CURRICULUM BY SUBJECT AND GRADE 1991 SUBJECT Sl f S2 S3 & S4 No. Periods/week No.Periods/week 14 Subjects 9 or 10 Subjects Aote 2) (Note 3) (Note 2) (Note 5) English Language 6-7 * 6-7 * Mathematics 6-7 * 6-7 * Physics 2 * 3-4 Chemistry 2-3 * 3-4 ** Biology 2-3 * 3-4 ** Geography 2-3 * 3-4 ** History 2-3 * 3-4 Woodwork 3 ** 4 Metalwork 3 ** 4 Technical Drawing 2 ** 3-4 Home Economics 3-4 ** 4-6 Business Studies 2-3 ** 4-6 Agriculture 3-4 ** 4-6 Art & Craft 2-3 ** 3 Literature in English 0 3 Other Languages (Note 4) 3-4 *** 4-5 Religious Education 2-3 *** 3-4 Music 1-3 *** 3-4 Political Education 1-2 * 3-4 Physical Education 1-2 *** 0 Notes 1 Schools work on a timetable of 40 lessons a week. 2 Numbers to the left of the hyphen indicate minimum number of lessons taught per week, while those to the right indicate maximum number of lessons per week. 3 For S.1 and S.2 : * ) compulsory subject. ** ) choice of at least 3 subjects, including agriculture, from this group. (* ) choice of at least 5 subhects, inlcu.Lng P.E., from this group. 4 "Other Languages" include French, Latin, German, Luganda and Kiswahili. 5 For S.3 and S.4 : ( * ) compulsory subject ** ) choice of at least 4 subjects. (** ) choice of at least 1 subject. ****) choice of at least 1 subject. "Other Languages" are the same as Note 4 above. Source : MOE Secondary School Inspectorate -1 78 Appendix E.13 Page 1 of 1 TABLE E.13 :PROJECTS IN THE FIVE YEAR INVESTMENT PROGRAM ( U.S.$ '000 ) CODE PROJECT NAME PHASE 1 PHASE 2 PHASE 3 TOTAL 1990-92 1993-96 1996 + COST 111 Primary School Expansion 22,000 22,000 22,000 66,000 112 Secondary Schools Laboratories, Workshops, Libraries 15,000 22,000 22,000 59,000 113 Secondary School Expansion 12,000 12,000 0 24,000 114 Non-formal Education 0 8,030 7,800 15,830 121 Program for Orphans 250 4,000 9,550 13,800 122 Service to Handicapped, Gifted & Female Students 8,000 400 700 9,100 123 Interactive Radio Learning - Classroom 1,791 0 0 1,791 124 Interactive Radio Learning - Teachers 889 0 0 889 125 Interactive Radio Learning - Marginalized Population 1,101 0 0 1,101 126 Interactive Radio Learning - Aids Education 316 0 0 316 211 Curriculum Reform 1,626 0 0 1,626 212 Strengthening NCDC 1,300 0 0 1,300 213 Strengthening STEPU 4,184 0 0 4,184 221 Book Provision Capacity 12,000 12,000 17,000 41,000 222 Book Productic- Capacity 4,712 4,680 0 9,392 231 Continuous Assessment 2,000 0 0 2,000 232 Examination Reform 5,000 4,100 0 9,100 241 Condition of Service 32,000 32,000 0 64,000 251 Pre-Service Training 22,800 27,223 17,520 67,543 252 Reducing Un-trained Teachers 25,764 10,900 5,436 42,100 253 Support for Practicing Teachers 16,540 9,000 5,700 31,240 261 Vocational Education Primary Schools 17,085 0 0 17,085 262 Vocational Education Secondary Schools 13,630 0 0 13,630 263 Science Education in Secondary Schools 28,500 15,60- 0 44,100 271 Technical Education 1,000 0 0 1,000 272 Rehabilitation of Technical Schools 8,400 9,400 4,400 22,200 273 Rehabilitation of Colleges & Polytechnics 8,800 9,815 3,400 22,015 311 EPDO 4,400 0 0 4,400 312 School Mapping 1,000 0 0 1,000 321 Comprehensive Management Audit 280 0 0 280 322 Management Training - Heads of Institutions 2,800 0 0 2,800 323 Intermediate-Staff Level Training 2,500 0 0 2,500 324 Training of Senior Managers 400 0 0 400 325 Educational Management Training Centre 0 2,300 0 2,300 326 Degree Programmes in Education Management 0 2,000 0 2,000 421 Support for Basic Education 2,500 0 0 2,500 422 Instructional Materials - Tertiary 7,000 0 0 7,000 423 National Finance Plan 280 0 0 280 424 Comprehensive Accounting System 1,600 0 0 1,600 TOTAL EXPENDITURE (U.S.$ '000) 289,448 207,448 115,506 612,402 Source : Republic of Uganda. Projects in Five Year Investment Programme -179- Appendix H.' Page 1 of 1 Annex Table H.1: Major Causes of Outpatient Morbidity, Uganda, 1988 - 1990 1988 1989 1990 Disease Name Rank Percent Rank Percent Rank Percent Malaria 1 20.2 1 21.7 1 22.6 Upper Respiratory 2 13.8 2 16.1 2 15.6 Diseases Trauma / Injuries 3 9.7 3 9.6 3 9.1 Intestinal Worms 5 7.6 5 7.5 4 7.7 Diarrhoeal Diseases 4 9.1 4 8.7 5 7.0 Lower Respiratory 7 6.3 7 5.3 6 5.9 Diseases Skin Diseases 6 6.7 6 7.4 7 5.6 Other Eye Infections 8 5.1 8 4.7 8 4.5 Ear Infections 10 2.3 9 2.1 Anaemias 9 3.4 9 2.4 10 1.9 Sexually T;ansmitted 10 2. 11 Diseases All other diseases 15.3 14.4 18.0 Number of recorded 2,840,448 4,208,705 6,952,681 visits Source: Republic of Uganda, Ministry of Health, Health Planning Unit (1991) Health Information Quarterly 8(3), September. -180- Appendix H.2 Page 1 of 1 Annex Table H.2: Major Causes of Inpatient Morality, Uganda, 1988 - 1990 1988 1989 1990 Disease Name Rank Percent Rank Percent Rank Percent Malaria 2 9.6 3 8.4 1 14.2 AIDS or HIV Infection 6 4.8 2 8.9 2 9.3 Diarrhoeal Diseases 1 10.4 1 11.1 3 8.7 ARI / Pneumonia 4 8.1 4 7.7 4 7.9 Anaemias 5 7.5 5 7.4 5 7.3 Nonmeningoccal 8 4.2 7 5.2 6 5.6 Meningitis Nutritional Deficiencies 3 8.8 6 6.0 7 5.4 Tuberculosis 9 3.9 8 4.6 8 4.5 Tetanus 10 3.5 10 3.3 9 3.3 Trauma / Injuries 9 3.5 10 3.1 Measles 7 4.4 All other diseases 1 34.7 33.9 30.6 Number of recorded 4,689 3,545 5,439 deaths I Source: Republic of Uganda, Ministry of Health, Health Planning Unit (1991) Health Information Quarterly 8(3), September. -181- Appendix H.3 Page 1 of 2 Table H.3: Distribution of Health Facilities, Uganda, 1991 Hospitals Population per District Tertiary Secondary Primary Clinics Unit Kalangala 0 0 1 3 4,100 Kampala 6 0 16 105 6,072 Kiboga 0 1 1 8 14,080 Luwero 0 2 9 29 11,136 Masaka 1 2 10 41 15,393 Mpigi 0 4 23 73 9,153 Mubende 0 2 . 30 12,035 Mukono 0 6 10 47 13,023 Rakai 0 1 9 20 12,733 Iganga 0 3 7 58 13,950 Jinja 1 1 14 19 8,139 Kamull 0 1 16 13 15,846 Kapchorwa 0 1 2 11 8,307 Kumi 0 3 4 16 10,300 Mbale 1 1 19 59 8,795 Pallisa 0 1 4 20 14,240 Sorotl 0 1 11 38 8,618 Tororo 0 3 7 47 9,775 Apac 0 2 8 12 21,263 Arua 1 3 11 42 10,893 Gulu 0 3 7 12 15,395 Kitgum 0 3 4 17 14,596 Kotido 0 2 4 18 7,946 Ura 0 1 9 31 12,055 Moroto 1 2 2 15 8,570 Moyo 0 2 2 19 7,761 Nebbi 0 3 9 28 7,963 Bundibugyo 0 1 3 16 5,800 Bushenyl 0 2 10 20 23,203 Holma 0 2 8 27 5,346 Kabale 1 0 6 27 12,141 Kabarole 1 2 14 26 17,376 Kasese 0 2 7 24 10,392 Kibale 0 0 0 3 73,100 Kisoro 0 2 0 4 30,817 Masindi 0 2 3 17 11,522 Mbarara 1 2 9 40 17,874 Ruktingirl a 3 8 26 10,486 Total 14 72 296 1061 11,491 Population Region Tertiary Secondary Primary Clinics per Unit Central 7 18 88 357 10,265 Eastern 2 15 84 281 10,759 Northern 2 21 56 194 11,461 Western 3 18 68 229 14,201 Total 14 72 296 1061 11,491 -182- Appendix H.3 Page 2 of 2 Notes: Tertiary is a regional hospital or above, including Mulago and NGO equivalents Secondary is a district- level hospital, including NGO equivalents Primary is a health-center-type clinic with some inpatient care, Including dispensaries with maternity and private maternitles DMO is a District Medical Office or similar unit in Kampala Central denotes national functions Sources: Republic of Uganda, Ministry of Health, Health Planning Unit, 1988. "Inventory of Health Care Facilities." Uganda Essential Drugs Management Program, 1991. Inventory and Delivery Records Republic of Uganda, Ministry of Health, Office of the Registrar, Uganda Medical Practitioners and Dental Surgeions countsil, 1991. Summaries of Registration Lists. -183- Appendix H.3a Tabie H.3A: Distribution of Government Facilities, Uganda, 1991 Page 1 of 1 Hospitals Population per District Tertiary Secondary Primary Clinics Unit Kalangala 0 (' 1 3 4,100 Kampala 3 0 3 2 96,675 Klboga 0 1 1 6 17,600 Luwero 0 1 5 18 18,717 Masaka 1 0 5 20 31,973 Mpigi 0 3 8 35 19,900 Mubende 0 2 6 14 22,614 Mukono 0 2 6 20 29,150 Rakai 0 1 7 14 17,364 Iganga 0 2 7 48 16,561 Jinja 1 0 10 8 14,995 Kamull 0 0 13 9 21,850 Kapchorwa 0 1 1 9 10,573 Kumi 0 1 3 13 13,935 Mbale 1 1 9 36 15,034 Pallisa 0 1 1 15 20,941 Sorot 0 1 5 25 13,900 Tororo 0 2 6 22 18,467 Apac 0 1 4 9 32,907 Arua 1 1 7 27 17,350 Gulu 0 2 7 7 21,169 Kitgum 0 1 4 15 17,515 Kotido 0 2 2 18 8,668 Ura 0 1 5 20 19,165 Moroto 1 0 2 10 13,185 Moyo 0 2 2 17 8,500 Nebbi 0 1 4 20 12,636 Bundibugyo 0 1 2 12 7,733 Bushenyi 0 1 8 11 36,740 Hoima 0 2 7 22 6,381 Kabale 1 0 5 24 13,760 Kabarole 1 0 11 21 22,467 Kasese 0 0 5 13 19,056 Kibale 0 0 0 0 ERR Kisoro 0 1 0 3 46,225 Masindi 0 2 3 9 18,107 Mbarara 1 1 8 22 29,050 Rukungirl 0 1 5 15 18,476 Total 11 39 188 612 19,509 Population Region Tertiary Secondary Primary Clinics per Unit Central 4 10 42 132 25,650 Eastern 2 9 55 185 16,376 Northern 2 11 37 143 16,213 Western 3 9.. 54 152 20,739 Total 11 39 188 612 19,509 -184- Apendix H,3b Page 1 of 1 Table H.3B: Distribution of Non-Governrnent Organization Facilities Hospitals Population per District Tertiary Secondary Primary Clinics Unit Kalangala 0 0 0 0 ERR Kampala 3 0 1 6 77,340 Kiboga 0 0 0 2 70,400 Luwero 0 1 4 4 49,911 Masaka 0 2 4 11 48,900 Mpigi 0 1 7 12 45,770 Mubende 0 0 2 9 45,227 Mukono 0 4 1 8 62,785 Rakal 0 0 2 4 63,667 Iganga 0 1 0 3 236,000 Jinja 0 1 2 1 71,225 Kamuli 0 1 3 1 96,140 Kapchorwa 0 0 1 2 38,767 Kumi 0 2 1 3 39,483 Mbale 0 0 3 12 47,107 Pallisa 0 0 3 5 44,500 Soroti 0 0 6 13 22,679 Tororo 0 1 1 10 46,167 Apac 0 1 3 2 76,783 Arua 0 2 3 4 69,400 Gulu 0 1 0 5 56,450 Kitgum 0 2 0 2 87,575 Kotido 0 0 2 0 95,350 Ura 0 0 2 4 83,050 Moroto 0 2 0 5 24,486 Moyo 0 0 0 2 89,250 Nebbi 0 2 3 3 39,488 Bundibugyo 0 0 1 4 23,200 Bushenyl 0 1 2 4 104,971 Hoima 0 0 1 3 49,450 Kabale 0 0 1 3 103,200 Kabarole 0 2 3 2 105,914 Kasese 0 2 0 1 114,333 Kibale 0 0 0 3 73,100 Kisoro 0 1 0 1 92,450 Masindi 0 0 0 4 63,375 Mbarara 0 1 1 2 232,400 Rukungiri 0 2 3 5 38,800 Total 3 33 66 165 62,107 Population Region Tertiary Secondary Primary Clinics per Unit Central 3 8 21 56 54,798 Eastern 0 6 20 50 54,083 Northern 0 10 13 27 62,582 Western 0 9 12 32 85,304 Total 3 33 66 165 62,107 -185- Appendix H.3c Page 1 of 1 Table H.3C: Distribution of Private Facilities Hospitals Population per District Tertiary Secondary Primary Clinics Unit Kalangala 0 0 0 0 ERR Kampala 0 0 12 97 7,071 Klboga 0 0 0 0 ERR Luwero 0 0 0 7 61,224 Masaka 0 0 1 10 75,538 Mpigi 0 0 8 26 26,913 Mubende 0 0 1 7 59,674 Mukono 0 0 3 19 37,655 Rakal 0 0 0 2 190,905 Iganga 0 0 0 7 141,529 Jinja 0 0 2 10 23,732 Kamull 0 0 0 3 144,138 Kapchorwa 0 0 0 0 ERR Kumi 0 0 0 0 ERR Mbale 0 0 7 11 38,530 Pallisa 0 0 0 0 ERR Soroti 0 0 0 0 ERR Tororo 0 0 0 15 37,754 Apac 0 0 1 1 276,365 Arua 0 0 1 11 50,620 Gulu 0 0 0 0 ERR Kitgum 0 0 0 0 ERR Kobdo 0 0 0 0 ERR Ura 0 0 2 7 53,368 Moroto 0 0 0 0 ERR Moyo 0 0 0 0 ERR Nebbi 0 0 2 5 47,368 Bundibugyo 0 0 0 0 ERR Bushenyi 0 0 0 5 157,378 Hoima 0 0 0 2 98,851 Kabale 0 0 0 0 ERR Kabarole 0 0 0 3 277,886 Kasese 0 0 2 10 28,571 Kibale 0 0 0 0 ERR Kisoro 0 0 0 0 ERR Masindi 0 0 0 4 63,343 Mbarara 0 0 0 16 58,071 Rukungi 0 0 0 6 64,634 Total 0 0 42 284 50,845 Population Region Tertiary Secondary Primary Clinics per Unit Central 0 0 25 169 24,889 Eastern 0 0 9 46 74,701 Northern 0 0 6 24 104,262 Western 0 0 2 45 95,470 Total 0 0 42 284 50,845 -186- Appendix H.4 Page 1 of 1 Table H.4: Distribution of Hospital Beds, Uganda, 1991 Beds Population per District Governmcdnt NGO Total Bed Kalangala 0 0 0 ERR Kampala 2397 926 3323 233 Kiboga 104 0 104 1354 Luwero 104 P5 189 2377 Ma3aka 304 325 629 1322 Mpigl 234 40 274 3341 Mubende 170 0 170 2926 Mukono 220 325 545 1498 Rakal 0 0 0 ERR iganga 218 100 318 2969 Jinja 356 138 494 577 Kamull 0 130 130 3698 Kapchorwa 56 0 56 2077 Kumi 104 310 414 572 Mbale 447 0 447 1581 Pallisa 104 0 104 3423 Sorotl 173 0 173 2491 Tororo 320 109 429 1291 Apac 100 210 310 1486 Arua 267 200 467 1337 Gulu 315 300 615 551 Kitgum 89 453 542 646 Kotido 208 0 208 917 Lira 222 0 222 2245 Moroto 115 282 397 432 Moyo 215 0 215 830 Nebbi 104 300 404 782 Bundibugyo 104 0 114 1115 Bushenyl 108 100 208 3533 Holma 197 0 197 1004 Kabale 184 0 184 2243 Kabarole 166 221 387 1916 Kasese 0 270 270 1270 Kibale 0 0 0 ERR Kisoro 132 147 279 663 Masindi 181 0 181 1401 Mbarara 350 80 430 2162 Rukungirl 106 331 437 888 Total 8474 5382 13856 1197 Population Region Government NGO per Bed Central 3533 1701 921 Eastern 1778 787 1602 Northern 1635 1745 926 Western 1528 1149 1689 Total 8474 5382 1197 -187- Appendix H.5 Page 1 of 1 Table H.5: DistriLution of Ministry of Health Personnel, Uganda, 1991 Population Registered Registered Other Group Population Per Nurse Region Physicians Nurses Midwives Professional Employees Total Per Physicia Midwife Kalangala 0 0 0 0 0 0 Kampala 284 329 143 1643 1717 4116 2723 1639 Klboga 5 12 0 67 171 255 28160 11733 Luwero 8 11 0 141 0 160 56150 40836 Masaka 17 29 0 285 258 589 48900 28666 Mpigi 42 57 5 586 326 1016 21795 14765 Mubende 12 29 12 .34 333 520 41458 12134 Mukono 7 22 3 206 148 386 116600 32648 Rakal 4 3 0 69 86 162 95500 127333 iganga 14 34 2 396 328 774 67429 26222 Jinja 45 98 0 456 364 963 6331 2907 Kamull 1 6 0 111 0 1,8 480700 80117 Kapchorwa 4 8 0 49 224 285 29075 14538 Kumi 5 6 0 130 118 259 47380 39483 Mbale 27 54 23 406 454 964 26170 9177 Palisa 4 10 0 87 200 301 89000 35600 Sorotl 5 35 0 125 215 380 86180 12311 Tororo 12 41 0 306 377 736 46167 13512 Apac 3 15 0 125 211 354 153567 30713 Arua 12 51 16 207 154 440 52050 9322 Gulu 8 24 0 183 222 437 42338 14113 Kitgam 9 10 0 72 198 289 38922 35030 Kotido 6 3 0 51 0 60 31783 63567 Ura 3 29 0 126 207 365 166100 17183 Moroto 3 3 0 27 154 187 57133 57133 Moyo 2 11 0 72 371 456 89250 16227 Nebbi 8 9 0 104 170 291 39488 35100 Bundlbugyo 3 6 0 42 193 244 38667 19333 Bushenyl 4 17 0 102 125 248 183700 43224 Hoima 7 19 2 142 327 497 28257 9419 Kabale 6 22 0 91 86 205 68800 18764 Kabarole 12 24 1 157 180 374 61783 29656 Kasese 0 0 0 0 0 0 Kibale 0 0 0 0 159 159 Ksoro 1 3 0 17 69 90 184900 61633 Masindi 7 38 0 195 178 418 36214 6671 Mbarara 16 39 4 229 306 594 58100 21619 Rukungirl 5 11 0 80 141 237 77600 35273 Total 611 1118 211 7219 8770 17929 27140 12478 Population Registered Registered Other Group Population Per Nurse Region Physicians Nurses Midwives Professional Employees Per Physician Midwife Central 379 492 163 3131 3039 12723 732 Eastem 117 292 25 2066 2280 35131 12966 Northern 54 155 16 967 1687 57946 18299 Western 61 179 7 1055 1764 74116 24307 Total 611 1118 211 7219 8770 27140 12478 -188- Appendix H.6 Page I of 1 Table H.6: Tabuona lrom the Family Householid Budget Suvey. Uganda, 1089 or 100 1Net C r Private NOO Gov't Other Total Sampla Arua 14 35 30 22 100 98 Buahenyl 4. 15 22 19 100 172 Kabalk 12 17 17 54 100 8 Kabarole 33 7 48 12 100 148 Kamuli 31 18 34 18 100 153 Kapchome 40 0 48 6 100 48 Masaka 14 84 5 17 100 194 Mukono 49 7 21 23 100 181 Tororo 8 4 69 1 100 182 Overail 28 20 32 21 100 1285 Preferred Caiugivr Privat NGO Gov't Other Total Sample Arua 5 29 54 12 100 07 Bu*henyl 33 28 34 5 100 168 Kabale 14 27 19 40 100 97 Kabarole 25 13 50 11 100 139 Kamull 16 37 38 11 100 150 Kaphom 81 0 28 12 100 43 Masaka 8 55 35 2 100 191 Mukono 34 21 38 7 100 167 Tororo 12 10 59 10 100 174 Overal 21 27 41 12 100 1224 Choice of Pro~ider for Reldwnts Sick Durig Last Two Weeka Number Percent Private 192 18% NGO 139 13% Gov't 224 21% Other 514 48% Total 1069 100% Detaied Informiln by Choen Provider for the . Let Two Weeka Walt LOss than No Range for Number Percent Payrs Private Clinic 192 18% 86 16 943 40-10.000 NGO Health Center 84 8% 52 20 2457 50-60,000 NOO Hoapital 55 5% 56 35 2838 300-39.000 Gov't Healfh Center 124 12% e1 74 50 50-30.000 Gov't Hospital 100 9% 62 73 961 10-40,000 CHW/7BA 12 1% 92 50 279 200-1.400 Family Member 94 9% 96 81 186 40-4.100 Herbal Haler 129 12% 81 45 880 30-30,300 Market/Shop 197 18% 98 14 499 20-8,000 Neighbor 42 4% 88 64 502 80-12.000 Phasmacy 13 1% 100 31 422 180-1,000 Spirtual ~ealer 20 2% 60 40 4131 20-40000 Othe 7 1% 88 57 200 200-600 Total 1069 100% 41 41 98 10-60,000 Summary of Expe~idbur Clesses Total Expenses Percent Nothing 41 100 or ls 9 100 to 500 21 50 to 1000 13 Over 1000 16 Total 100 Notc: Private - Privae Clnia NOO = NGO Healh Centmer or Hospital Gov't - Govemmfer Healt Center or Hospital Other Family member. nei.bor, spritual heWler. herbalhealer herbal healer ChW/ A, m~ar.et/shop, pham~acistchemit Payments tend to be for druge, not for protes~ional fös. For example. 86.4 percert of privat clink3 patients pald nohing for the diagnouis. 82.3 percert of the sample walked to te facilty; 89 perent inoured no transport cost Source: Maker* Universty. Child Heulth and Development Center. Family Household Health Budget Study, 1991 -189. Apendix H. Page 1 of 1 Table H.7: Ta* Wione from the Demographic and Health Survey, Uganda. 1988/89 frenatal Care by Realdence for I1-the During the Last Five Years, 1988/89 Nurse retanue Doctor Midwife TBA Other None Toxoid Birthe West Nile 12 S 2 0 31 58 274 East 7 88 1 0 4 69 1378 Central 20 71 0 0 9 48 1267 West 3 80 3 6 28 52 319 South West 5 78 0 0 18 46 1499 Kampala 34 61 0 0 3 80 267 Overall 11 76 1 1 12 56 5004 Prenatal Care by Education for Birth* During the Last Five Years, 1988/89 Nurse Tetanus Doctor Midwife TBA Other None Toxoid Blirthe Frequency No Education 7 74 1 1 17 50 2071 41% Some Primary 10 70 1 0 10 56 2058 41% Primary Completed 17 79 0 0 4 65 448 9% Middla 23 71 0 2 3 72 310 6% Higher 44 54 0 0 1 73 117 2% Overall 11 76 1 1 12 56 5004 100% Delivery Assistance by Residence for Births During the Last Five Years, 1988/89 Nurse Doctor Midwife TBA Relative Other None Births West Nile 1 17 23 38 0 20 274 East 2 46 5 34 2 11 1378 Central 4 48 7 32 1 8 1267 West 1 20 * 10 48 4 18 319 South West I i6 4 43 2 33 1499 Kampala 18 s 1 7 1 3 267 Overall 3 36 6 36 2 17 5004 Delivery Assistance by Education for Births During the Last Five Years, 1988/89 Nurse Doctor Midwife TBA Relative Other None Births Frequency No Educatlon 1 22 8 40 2 26 2071 41% Some Primary 3 38 6 38 2 13 2058 41% Primary Completed 4 55 a 28 1 7 448 9% Middle 8 66 2 18 1 4 310 6% Higher 16 70 4 2 0 6 117 2% Overall 3 36 6 36 2 17 5004 100% Immunization Patterns by Education for Mothers with Children Aged 12 to 23 Months, 1988/89 Of Those with Health Card Minimum No Card Health Fully Fully but Some Card SCG OPT 3 Measles Immunized Immunized Immunization Number No Education 45 98 43 67 36 16 18 375 Some Primary 50 98 60 72 50 25 25 418 Orimary Completed 5 99 61 74 51 28 19 83 'iddle 58 100 95 83 83 48 34 46 Higher 64 100 87 93 80 51 28 27 OV-Val 49 98 57 72 48 24 22 947 Note: West Nile - Arua, Moyo, Nebbi East - igange, Anja, Kamull, Mbals, Tororo Central - Luwero, Maska, Mpigi. Mubende, Mukono, Rakal West - Bundibugyo, Holma, Kabarole, Masindi South Wet - Bushenyl, Kabale. Kasese, Mbarara Sukungirl Primary Completed - Junior I Middle = Junior 2 or Junior 3, plus Secondary below 4 Higher - More than Secondary 4, or at least 2 years vocational after Secondary 3. Minimum Fully Immunized - Percent of Children with Health Card and Fully Immunized No Card but Some Immunization = No Health Card but Mother Reports at Least 1 Immunization Source: Republic of Uganda, Ministry of Health. *Uganda Demographic and Health Survey 198/1989,' October 1989. -190- Appendix H.8 Page 1 of 1 Table H.8: Estimated Recurrent Expenditures for Health from All Sources, Uganda, 1989/90 Local Funds - Foreign Assistance Total Percont Percent Amount Percent of GDP Amount Percent Amount Percent of GDP Ministry of 4,097 14 0.3 7,585 89 11,682 30 0.9 Health Ministry of Local 171 1 0.0 341 4 512 1 0.0 Government Mulago 1,572 5 0.1 77 1 1,649 4 0.1 Hospital I_I_I Local 816 3 0.1 0 0 816 2 0.1 Governments 8 NGO Dontins822 3 0.1 500 6 1,322 3 0.1 Donations Pendin 22,644 75 1.8 0 0 22,644 59 1.8 Spending Total 30,122 100 2.4 8,503 100 38,625 100 3.1 Central Goenrn t 5,840 19 0.5 8,003 94 13,843 36 1.1 Government Gove n 816 3 0.1 0 0 816 2 0.1 Government Charitable 822 3 0.1 500 6 1,322 3 0.1 Private 22,644 75 1.8 0 0 22,644 59 1.8 Total 30,122 100 2.4 8,503 100 38,625 100 3.1 Source: FH tables and authors's estimates. Notes: Local spending is estimated on a per capita basis for a handful of districts with complete data and multiplied by the population of Uganda. The numbers were hand transcribed from documents at the MOLG. NGO donations are estimated from a sample of five NGO hospitals and is the shortage of fees relative to costs, divided by the number of beds. It is expanded to the whole sector by multiplying the resulting per-bed figure by the number of NGO beds in Uganda. This estimate will be minimal, as most NGOs receive some contributions of labor and drugs. Private spending is from the Household Budget Survey, I 1989/90. -191- Appendix H.9 Page 1 of 1 Table H.9: Rough Estimates of Distribution of Spending by Health Problem, 1989/90 Category 1 Category 2 Category 3 Percent Number Beo-days Community Preventive Cuiative Curative Malaria 12,257 75,923 324 1624 3214 62 ARI 4,260 31,634 324 565 1339 60 Trsuma 3,637 49,729 324 482 2105 72 Tuberculosis 2,952 118,868 324 391 5031 88 Anemias 2,246 17,857 324 298 756 5C AIDS 1,787 22,656 324 237 959 63 Malnutrition 1,600 29,676 324 212 1256 70 Meningitis 1,009 10,069 324 134 426 48 Diarrhea 785 7,417 324 104 314 42 Tetanus 257 1,983 324 34 84 19 Subtotal 30,790 365,812 Other 35,745 349,059 324 4306 14775 76 Total 66,535 714,871 Expenditure by Category Central 2922 4885 10615 Local Govt 231 264 827 Charitable 408 272 136 Private 0 3397 18681 1 Total 3561 8818 30259 -192- A endix H.10 Page 1 of 1 Table H. 10: MOH Proposed Fees Compared to Fees at a Kampala NGO Hospital MOH Proposed Fees Kampala NGO June 1990 January 1991 Public Private Public Private Mulago Hospital Outpatient (first visit) Dispensary 300 300-700+ Specialist 700 2-3.000 1500+ Casualty 700 500+ Inpatient (per week) Old Wards 600 4200 New Wards 1400 14-21000 19250 31150 Referral Hospitals Outpatient 500 2-3000 Inpatient 1000 14-21000 District/Rural Hospitals Outpatient 300 2-3000 Inpatient 600 7-10500 Health Center Outpatient 200 Inpatient 400 Note: All Prices in Uganda Schillings These are basic fees, there are many add-ons