第１期
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- れんか かがんじ
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1 16
2 GDPGNP GDP GDP
3
4 2003
5
6 9
7 vii
8 15 CAR (Cordillera Autonomous Region) Abra Benguet Ifuguet Kalinga Apayao Mt. Province ILOCOS (Region I) Ilocos Norte Ilocos Sur La Union Pangasinan CAGAYAN VALLEY (Region II) Batanes Cagayan Isabela Nueva Vizcaya Quirino CENTRAL LUZON (Region III) Bataan Bulacan Nueva Ecija Pampanga Tarlac Zambales SOUTHERN TAGALOG (Region IV) Aurora Batangas Cavite Laguna Marinduque Mindoro Occidental Mindoro Oriental Palawan Quezon Rizal Romblon BICOL (Region V) Albay Camarines Norte Camarines Sur Catanduanes Masbate Sorsogon WESTERN VISAYAS (Region VI) Aklan Antique Capiz Guimaras Iloilo Negros Occidental CENTRAL VISAYAS (Region VII) Bohol Cebu Negros Oriental Siquijor EASTERN VISAYAS (Region VIII) Biliran Eastern Samar Leyte Northern Samar Southern Leyte Western Samar WESTERN MINDANAO (Region IX) Basilan Zamboanga City Zamboanga del Norte Zamboanga del Sur NORTHERN MINDANAO (Region X) Bukidnon Camiguin Misamis Occidental Misamis Oriental SOUTHERN MINDANAO (Region XI) Davao City Davao del Norte Davao del Sur Davao Oriental Sarangani South Cotabato CENTRAL MINDANAO (Region XII) Lanao del Norte North Cotabato Sultan Kudarat CARAGA Agusan del Norte Agusan del Sur Surigao del Norte Surigao del Sur ARMM (Autonomous Region of Muslim Mindanao) Lanao del Sur Maguindanao Sulu Tawi-Tawi viii
9 ,000,000 14,145,078 15,854,922 48,098,460 60,703,206 68,616,536 76,504, NCR 63,600 48,232 15,368 5,925,884 7,948,392 9,454,040 9,932,560 CAR 1,829, ,099 1,479, ,432 1,146,191 1,254,838 1,365, I 1,284, , ,097 2,922,892 3,550,642 3,803,890 4,200, II 2,683, ,965 1,717,793 1,919,091 2,340,545 2,536,035 2,813, III 1,823,082 1,051, ,174 4,802,793 6,199,017 6,932,570 8,030, ,692,416 2,172,866 2,519,550 6,118,620 8,263,099 9,943,096 11,793, V 1,763,249 1,222, ,189 3,476,982 3,910,001 4,325,307 4,686, VI 2,022,311 1,408, ,529 4,525,615 5,393,333 5,776,938 6,211, VII 1,495, , ,919 3,787,374 4,594,124 5,014,588 5,706, VIII 2,143,169 1,023,715 1,119,454 2,799,534 3,054,490 3,366,917 3,610, IX 1,599, , ,454 1,973,267 2,459,690 2,794,659 3,091, X 1,403, , ,193 1,765,120 2,197,554 2,483,272 2,747, XI 2,714,059 1,079,824 1,634,235 2,969,156 4,006,731 4,604,158 5,189, XII 1,437, , ,446 1,467,115 2,032,958 2,359,808 2,598, CARAGA 1,884, ,447 1,342,250 1,371,512 1,764,297 1,942,687 2,095, ARMM 1,160, , ,002 1,359,073 1,836,930 2,020,903 2,412, National Statistical Coordination Board s Philippine Statistical Yearbooks & 2003 Yearbook 1,000 National Statistical Coordination Board s Philippine Statistical Yearbooks & 2003 Yearbook of Labour Statistics - 1 -
10 , 6 1 0, , 5 0 1, N C R 1 5, , C A R 1 0 8, , , , , , , , A 3 1 9, , B 2 0 9, , , , , , , , , , , , , , , , , , , , A R M M 2 1 9, , NSO, 1991 and 2002 Census of Agriculture % (1,000) 2,380,854,459 2,187,250, (1,000) 2,005,045,840 1,791,132, () 148, , () 125, , () 23,481 26, (1,000) 16,005 15, National Statistics Office and Bureau of Agricultural Statistics - 2 -
11 11,975, ,632,471 65, ,616,202 51,991 12,754,944 1,060,709,953 83, ,008,317 67,661 9, ,400 2,324,801 7,586 2,897,784 9, ,537 1,155,527 7,727 1,294,445 8,656 10,000-19,999 1,647,500 25,692,033 15,594 26,539,325 16, ,267 14,784,833 15,842 15,673,938 16,795 20,000-29,999 2,145,600 53,372,670 24,876 50,947,743 23,746 1,644,422 41,398,132 25,175 40,593,292 24,685 30,000-39,999 1,731,700 60,144,821 34,731 53,785,473 31,059 1,652,896 57,711,595 34,915 54,299,877 32,851 40,000-49,999 1,250,009 55,946,659 44,725 48,876,730 39,073 1,391,055 62,339,730 44,815 56,827,800 40,852 50,000-59, ,700 53,557,485 54,723 45,552,468 46,544 1,133,426 62,142,757 54,827 54,948,642 48,480 60,000-79,999 1,234,400 85,201,727 69,024 72,077,408 58,392 1,698, ,570,078 69, ,905,106 60,014 80,000-99, ,400 68,990,981 89,315 56,552,279 73,212 1,074,314 96,063,236 89,418 82,040,837 76, , ,999 1,017, ,082, ,024 96,519,219 94,905 1,501, ,074, , ,289,246 98, , , , ,562, ,990 84,141, ,784 1,054, ,130, , ,520, , , , ,300 77,253, ,592 56,441, , , ,142, , ,176, , ,000 60,000 63,503,086 1,058,304 28,284, , ,035 89,196, ,696 53,437, , a ,192,462 1,748,060, ,168 1,412,677,414 99,537 15,269,655 2,199,431, ,039 1,801,846, ,002 9,999 66, ,794 7, ,280 9,508 35, ,359 8, ,000 9,394 10,000-19, ,827 7,776,816 16,107 8,831,474 18, ,012 5,277,197 16,040 5,847,381 17,773 20,000-29,999 1,132,664 28,690,522 25,330 31,160,646 27, ,651 21,278,980 25,434 22,734,615 27,173 30,000-39,999 1,473,041 51,678,003 35,083 52,742,894 35,805 1,170,541 41,136,809 35,143 42,793,545 36,559 40,000-49,999 1,438,575 64,564,566 44,881 63,148,461 43,897 1,388,507 62,438,911 44,968 63,196,939 45,514 50,000-59,999 1,163,897 63,844,551 54,854 60,907,808 52,331 1,196,126 65,787,619 55,001 64,114,879 53,602 60,000-79,999 1,828, ,076,582 69, ,593,661 63,760 1,983, ,475,476 69, ,009,727 65,555 80,000-99,999 1,285, ,918,993 89, ,743,805 79,955 1,496, ,065,636 89, ,203,055 81, , ,999 2,072, ,681, , ,153, ,783 2,431, ,784, , ,695, , , ,999 1,853, ,311, , ,906, ,160 2,382, ,173, , ,403, , , ,999 1,063, ,005, , ,024, ,321 1,528, ,472, , ,233, , , , ,983, , ,826, , , ,255, , ,279, ,809 a 10 ('00) '00 11,975,400 12,754,944 14,192,462 15,269, , , ,537 66,917 35, ,000-19,999 1,647, , , , ,000-29,999 2,145,600 1,644,422 1,132, , ,000-39,999 1,731,700 1,652,896 1,473,041 1,170, ,000-49,999 1,250,900 1,391,055 1,438,575 1,388, ,000-59, ,700 1,133,426 1,163,897 1,196, ,000-79,999 1,234,400 1,698,025 1,828,642 1,983, ,000-99, ,400 1,074,314 1,285,026 1,496, , ,999 1,017,000 1,501,550 2,072,417 2,431, , , ,400 1,054,063 1,853,665 2,382, , , , ,355 1,063,498 1,528, ,000 60, , , ,
12 mm mbs , , , , , , , , , , Laoag City, Ilocos Norte , Dagupan City, Pangasinan , , , P ort A rea (M C O), M anila , Legaspi City, Albay Iloilo City, Iloilo M actan International Airport Zamboanga City, Zamboanga Davao City, Davao Del Sur BAS - 4 -
13 114 LuzonMindoroNegrosPalawan 111 AlbayCamarinesNorteQuezonLeyte EasternMindanao 11 MountainProvinceQuezonBontocMasbate RomblonPanayNegrosCebuNorthernMindanao Palawan BatanesLuzon CamarinesNorteCamarinesSurAlbayMindoroMarinduqueLeyte NegrosCentralEasternSouthernMindanao Vegetable Production Manual in an Irrigated Ecosystem, NIA-JICA, GabiUbi
14 BAS - 6 -
15 Dish Gourd
16 Ubi
17 Snow Peas Winged Beans Kutchai BAS - 9 -
18 GDPGNP 100 : National Statistical Coordination Board GDP 100 * : National Statistical Coordination Board
19 GDP * : National Statistical Coordination Board National Statistical Coordination Board & Bureau of Agricultural Statistics
20 a 2002 a 2003 a GVA 644, , , ,185 1,004, , , , , ,428 30,571 32,880 32,501 33,806 34,367 14,817 16,023 17,432 19,719 9,526 11,855 11,701 11,198 13,134 15,378 32,641 40,310 46,069 52,525 53,625 6,109 5,992 5,905 5,921 7,236 10,061 11,994 12,473 11,912 13,439 4,413 5,971 5,178 4,767 5,255 7,049 7,596 8,430 9,304 10, ,565 4,934 4,087 3,971 4,202 51,207 53,011 58,487 60,318 65,455 45,274 66,216 73,280 69,168 81,515 19,147 20,477 21,950 25,341 24,279 12,782 11,896 13,362 13,745 28,447 10,854 12,628 15,158 18,730 17,603 7,652 9,803 12,596 10,559 12,580 66,249 86,224 95, , ,103 6,640 7,869 8,783 9,620 9,343 18,041 22,306 27,284 27,975 31,330 a
21 a 2002 a 2003 a GVA 224, , , , ,255 83,049 84,590 88,227 94, ,972 8,896 9,175 8,820 8,740 8,773 5,681 5,886 6,133 6,639 3,134 4,660 4,128 3,778 4,201 4,585 10,801 12,327 12,801 13,688 13,152 2,451 2,220 2,060 2,016 2,444 2,852 3,172 3,232 2,994 3,366 2,033 2,627 2,258 2,040 2,172 3,055 2,964 2,967 3,154 3, ,065 2,115 1,743 1,652 1,634 13,868 13,523 14,648 14,295 15,006 37,137 39,896 38,929 34,131 36,974 5,834 5,625 5,215 5,721 5,732 4,206 3,600 3,851 3,803 7,421 4,272 4,645 5,257 6,268 5,727 3,555 4,219 5,326 4,346 5,074 22,277 27,678 29,009 34,499 32,517 1,984 2,125 2,325 2,421 2,278 5,769 6,527 7,249 7,056 7,641 a
22 1,000ha 1000t , , , , , , , , , A. 6, , , , , , , , , , , , , , , , , , , , , , , , , , , B. * 5, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mongo 66.5* , ** , C. ** , , , , , , , * ** National Statistical Coordination Board, and Bureau of Agricultural Statistics
23 1,000ha 1000t , , , , , , , , , A. 6, , , , , , , , , , , , , , , , , , , , , , , , , , , B. 4, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mongo , , , , , , , , , , , , C , , , , , , * ** National Statistical Coordination Board, and Bureau of Agricultural Statistics % National Statistical Coordination Board, and Bureau of Agricultural Statistics
24 1000 BAS-PCA LGU GMA-HVCC
25 (ha) () (ha) () (ha) () (ha) () (ha) () CAR 24, ,527 24, ,576 24, ,094 24, ,874 24, ,162 I 48, ,305 50, ,638 50, ,290 50, ,012 50, ,850 II 44, ,226 43, ,229 40, ,251 41, ,832 36, ,909 III 35, ,138 33, ,907 34, ,986 34, ,595 34, ,702 IV-A 29, ,778 29, ,646 30, ,544 30, ,320 30, ,231 IV-B 10,627 33,801 10,538 34,098 10,556 34,223 10,755 34,938 10,919 35,827 V 72, ,560 66, ,790 67, ,612 66, ,923 68, ,000 VI 30, ,059 29, ,519 29, ,546 29, ,322 29, ,096 VII 56, ,618 52, ,894 50, ,747 50, ,779 49, ,263 VIII 59, ,854 61, ,092 61, ,053 60, ,436 60, ,012 IX 17,281 67,383 16,963 64,960 16,811 62,308 16,664 62,252 17,337 65,252 X 23, ,047 23, ,061 22, ,274 23, ,028 23, ,435 XI 21,623 84,341 22,351 88,018 22,946 88,947 21,631 89,712 21,970 91,791 XII 8,419 40,007 10,036 47,406 10,610 52,752 11,566 60,189 11,828 65,707 CARAGA 28, ,298 28, ,556 29, ,934 30, ,323 31, ,233 ARMM 124,319 1,217, ,224 1,131, ,243 1,042, , , , , ,412 3,857, ,884 3,743, ,884 3,638, ,176 3,673, ,725 3,669,238 BAS /ha CAR I II III IV -A IV -B V VI VII V III IX X XI XII CARAGA ARMM BAS
26 ha CAR ,898 9,017 8,883 8,789 8,768 40,235 41,870 42,084 41,980 41,902 4,008 4,158 4,219 4,257 4, ,753 3,645 3,447 3,302 3,243 3,058 3,083 2,995 3,039 3, ,944 1,982 2,028 2,014 1, ,582 4,662 4,798 4,877 4, ,594 4,022 4,523 4,419 4,261 Mongo ,895 11,658 11,388 11,050 11, ,732 4,819 4,721 4,784 4, ,101 7,152 7,203 7,423 7, ,763 3,915 3,868 3,829 3,892 12,145 12,153 12,254 12,279 12,368 5,069 5,155 5,237 5,266 5, ,732 1,723 1,727 1,750 1, , Habitchuelas 1,072 1,066 1,057 1,051 1, ,309 3,279 3,335 3,390 3, Kangkong ,781 2,743 2,775 2,733 2, Ubi ,447 3,424 3,381 3,292 3,308 3,094 3,046 3,098 3,141 3, Singkamas ,505 1,480 1,502 1,502 1, Pao(galiang) Tugue Achuete Black beans Kadios Kamias Kentucky beans Kondol Saluyot Tanglad Winged beans BAS
27 CAR ,368 90,458 91,632 92,132 92, , , , , ,572 61,826 63,580 65,704 66,875 67,583 2,619 2,711 2,611 2,540 2,606 19,898 20,287 19,291 18,694 18,209 14,342 14,466 14,298 13,865 14,518 1,920 1,923 1,897 1,821 1,804 13,955 14,303 14,890 14,537 13, ,422 56,042 60,035 63,378 64, ,942 8,917 10,726 11,207 10,615 Mongo ,812 11,788 11,508 11,027 10, ,688 36,679 37,727 38,321 38, ,449 10,577 10,752 10,650 10,465 3,721 3,592 3,665 3,692 3,691 47,379 49,264 49,598 50,153 52, , , , , ,852 32,995 33,259 34,061 34,077 35,184 1,609 1,563 1,599 1,626 1, ,350 27,079 26,475 26,893 27, ,451 4,428 4,494 4,594 4,611 7,347 7,418 7,397 7,270 7,251 1,244 1,246 1,294 1,314 1, ,492 4,467 4,644 4,796 5, ,539 21,200 21,752 22,220 22, ,996 4,957 5,039 4,988 4,995 2,677 2,733 2,789 2,822 3, ,008 1,070 1,050 1, ,371 3,379 3,443 2,971 3,017 Habitchuelas 6,627 6,585 6,549 6,642 6, ,272 47,437 48,625 50,341 51, Kangkong ,330 1,337 1,198 1,252 1, ,099 1,118 1,173 1,209 1,180 35,012 33,002 33,998 33,535 33, ,485 4,457 4,214 4,216 4,270 1,331 1,325 1,362 1,423 1,454 5,240 5,363 5,162 5,278 5,295 1,204 1,152 1,214 1,295 1, ,270 3,329 3,481 3,301 3,284 7,611 7,724 8,162 8,361 8,808 Ubi ,292 17,643 17,889 17,920 17,976 15,702 15,632 16,083 16,257 17, ,024 1,100 2,384 2,608 2,561 2,653 2, ,090 1,096 1,136 1,178 1,186 1,370 1,359 1,332 1,345 1, Singkamas ,620 1,620 1,719 1,704 1, ,714 1,712 1,757 1,811 1,891 5,193 5,106 5,403 5,513 5, ,363 3,314 3,347 3,381 3, ,897 1,942 1,949 1,928 1, (young) ,138 4,126 4,198 4,131 4, ,066 1,042 1,079 1,113 1,199 Pao(galiang) Tugue Achuete Black beans Camansi Kadios Kamias Kentucky beans Kondol Saluyot Tanglad BAS
28 ha ,219 21,419 19,296 19,247 17,864 25,120 24,122 25,115 25,110 24, ,594 3,460 3,658 3,359 3,176 8,323 7,583 7,966 8,003 7,941 2,268 2,139 2,284 2,496 2,577 1,218 1,196 1,201 1,219 1,220 1,602 1,533 1,613 1,785 1,774 2,931 3,099 3,111 3,094 3, Mongo 8,194 8,874 6,656 6,476 5,526 3,346 3,284 3,125 3,104 3, ,291 4,188 4,929 4,779 4,383 4,842 3,941 3,706 3,674 3,433 1,589 1,500 1,422 1,432 1,432 1,243 1, ,292 3,137 3,231 3,354 3,387 18,250 17,898 17,458 18,567 15,160 6,306 6,142 6,536 6,455 6, ,128 1,061 1,102 1,132 1,039 1,917 1,785 2,033 1,971 1,972 8,415 8,512 8,053 8,963 5, ,585 1,615 1,671 1,837 1, Habitchuelas 1, Kangkong ,367 1,322 1,345 1,217 1, Ubi ,839 3,691 3,534 3,551 3,361 3,734 3,323 3,149 3,202 3, Singkamas ,423 1,411 1,376 1,381 1,332 2,078 1,828 1,699 1,752 1, Pao(galiang) Tugue Achuete Black beans Camansi Kadios Kamias Kentucky beans Kinchay Kondol Paco Pandan Saluyot Winged beans BAS
29 ,226 78,433 78,470 84,724 79, , , , , , ,024 20,727 23,359 23,485 21,818 29,736 30,726 30,328 29,346 30,494 17,906 17,272 19,848 24,297 27,176 8,898 8,674 9,126 9,420 9,601 22,294 22,497 18,201 19,330 14,941 17,668 17,723 18,639 18,823 18, Mongo 3,972 2,772 3,335 3,585 2,964 2,592 2,193 2,086 1,979 1,958 1,427 1,254 1,174 1,813 1,266 46,894 45,140 42,870 55,400 53,366 4,223 3,958 3,474 3,401 3,319 2,150 2,140 1,920 1,897 1,923 12,299 8,940 8,060 7,716 6,890 15,806 15,614 15,708 17,159 17,321 88,439 82,659 85,148 86,971 81,090 47,787 46,680 48,423 50,996 51, ,123 3,877 4,380 5,085 4,560 16,142 15,460 16,829 16,707 16,934 8,415 8,512 8,053 8,963 5, ,038 1,120 1, ,371 11,570 13,068 15,662 14,561 6,425 6,388 5,994 6,173 6,125 7,036 6,473 6,706 6,368 5, ,329 5,707 4,987 5,055 4,627 2,145 2,273 2,483 2,477 2,502 Habitchuelas 3,510 3,014 2,816 2,890 2, Kangkong 1,153 1,179 1,148 1,125 1, ,576 8,660 8,121 8,006 5,620 8,295 8,596 8,494 8,489 8, ,377 4,673 4,943 5,017 4,786 2,362 2,073 1,989 1,990 1, ,369 23,989 25,721 23,350 26,604 9,839 9,197 9,783 12,231 12,767 Ubi 2,077 1,989 2,175 2,337 2, ,560 18,137 17,633 18,136 17,441 17,274 15,673 15,560 16,276 16, ,392 2,912 2,928 2,658 2, ,510 1,699 1,458 1,523 1, ,957 3,885 3,241 3,202 2, ,242 1,248 1,276 1, Singkamas ,199 1,246 4,105 4,693 4,888 5,413 5,575 10,091 9,022 8,849 9,172 9, (young) Pao (galiang) Tugue Achuete Black beans Camansi Kadios Kamias Kentucky beans Kinchay Kondol Paco Pandan Saluyot Winged beans , BAS
30 ha ,062 19,330 19,381 19,579 19,555 8,183 8,160 8,169 8,243 8, ,240 4,244 4,242 4,272 4,265 2,457 2,430 2,418 2,433 2,472 8,744 8,787 8,787 8,823 8,853 2,169 2,171 2,159 2,166 2,218 1,893 2,026 2,045 2,004 1, Mongo ,137 1,079 1,087 1,109 1,148 1,159 1,140 1,144 1,158 1,161 1,272 1,410 1,396 1,462 1, ,808 6,412 6,585 6,840 6,968 1,776 1,711 1,721 1,765 1, ,226 1,000 1,005 1,020 1, Habitchuelas Kangkong ,260 1,131 1,205 1,283 1, Ubi ,056 3,989 4,034 4,098 4, ,650 1,648 1,648 1,650 1, Singkamas Pao(galiang) Tugue Achuete Camansi Kadios Kamias Kentucky beans Kondol Paco Pandan Saluyot Winged beans BAS
31 , , , , ,622 25,795 26,179 26,209 26,637 27,288 2,712 1,999 2,210 2,264 2, ,853 34,641 36,892 38,696 38,705 11,538 11,601 11,673 11,842 11,929 57,671 58,983 62,032 66,834 67,262 7,949 8,084 8,199 8,293 8,538 23,532 25,921 28,960 32,188 32,074 2,453 2,584 2,345 2,390 2,440 1,566 1,867 2,056 2,448 2,211 1,723 1,769 1,854 1,893 2,048 Mongo ,136 16,480 16,891 18,283 18, ,405 70,247 73,824 77,435 79,215 4,973 4,906 4,960 5,157 5, ,527 9,908 10,566 11,257 11, ,331 8,628 9,252 9,406 9, ,514 6,395 6,732 6,880 6,889 2,805 2,821 2,800 2,883 2,891 2,785 2,850 2,934 2,965 3, ,794 14,098 12,538 11,706 11, Habitchuelas Kangkong 1,992 2,019 2,088 2,683 2, ,853 5,798 5,985 6,370 7, ,129 1,232 1,366 1,599 1, ,813 17,645 20,598 22,734 23, Ubi ,523 21,964 23,034 24,470 24,394 3,033 3,013 3,054 3,145 3,282 4,072 4,070 4,272 4,280 4, ,055 4,164 4,154 4,896 4, ,458 1,396 1,444 1,525 1, ,884 1,750 1,852 1,936 1, ,917 3,748 3,606 3,672 3, Singkamas ,266 1,180 1,244 1,290 1, ,483 1,503 1,518 1,540 1, (young) Pao (galiang) ,197 1,191 1,270 1,376 1, Tugue Achuete Camansi Kadios Kamias Kentucky beans Kondol ,524 1,532 1,559 1,655 1, Paco Pandan Saluyot Tanglad Winged beans BAS
32 ha ,247 56,239 57,363 56,267 57,502 21,815 21,078 20,933 20,623 20, ,198 24,696 22,639 21,412 21,880 6,236 6,103 6,093 6,033 6,015 29,590 27,843 31,227 31,293 32,037 6,448 6,459 6,539 6,577 6,588 1,273 1,134 1,149 1,169 1,206 1,399 1,361 1,323 1,360 1, Mongo ,195 3,744 3,682 3,443 3, ,453 1,409 1,402 1,443 1,446 2,402 2,325 2,309 2,257 2,126 1, ,189 7,904 7,663 7,826 8,212 6,563 6,483 6,462 6,481 6, ,667 3,609 3,632 3,604 3, ,980 1,694 1,662 1,683 1, Habitchuelas Kangkong 1,129 1, ,006 1, ,340 2,431 2,321 2,341 2, ,081 1,083 1,153 1,152 1, Ubi ,900 2,619 2,645 2,655 2,691 2,291 2,317 2,298 2,306 2, Singkamas Pao(galiang) Tugue Achuete Camansi Kadios Kamias Kentucky beans Kondol Paco Pandan Saluyot Tanglad Winged beans Wonder beans BAS
33 , , , , , , , , , ,530 2,085 1, , , , , ,661 29,563 28,755 28,218 28,025 28, , , , , ,453 50,917 49,762 51,213 51,471 50,448 6,188 5,266 4,977 5,264 5,464 11,146 10,793 10,492 11,097 11, Mongo ,816 1,727 1,700 1,575 1, ,134 1, ,108 1,070 1,033 1,045 1,004 5,916 3,933 3,510 3,732 3,626 12,758 11,633 10,209 10,366 9,809 49,590 46,411 46,859 49,455 51,824 28,195 27,994 27,852 28,668 28, , ,042 1, ,667 3,609 3,632 3,604 3, ,905 13,268 13,010 13,333 13,904 3,259 3,238 3,274 3,278 3, ,149 1, ,041 Habitchuelas Kangkong 2,234 2,176 2,223 2,346 2,357 6,759 6,859 7,031 7,147 7,032 1,050 1,031 1,123 1,063 1, ,727 11,161 10,799 12,250 13,233 1,435 1,340 1,307 1,344 1, ,268 13,939 14,939 15,516 15,933 8,611 8,537 8,490 9,068 8,505 Ubi ,821 22,236 22,738 24,663 25,359 15,876 16,107 16,168 16,441 16, ,135 6,148 5,954 6,835 6,967 1,695 1,720 1,760 1,784 1, ,077 1,102 1, Singkamas ,701 2,330 2,349 2,449 2,583 1,556 1,592 1,580 1,662 1, ,420 1,459 1,465 1,451 1, ,045 6,641 7,479 8,288 8,499 1,968 1,962 1,988 2,011 2,033 (young) 1,778 1,288 1,319 1,403 1,550 3,050 3,141 3,232 3,322 3, Pao(galiang) ,093 1, Tugue Achuete Camansi Kadios Kamias Kentucky beans Kondol Paco Pandan Saluyot Tanglad Winged beans Wonder beans BAS
34 ha ,312 38,119 36,321 35,642 35,450 49,772 51,424 51,106 50,806 50, ,149 16,552 15,563 15,848 15,539 25,963 26,949 26,745 26,145 25,737 16,322 13,632 12,782 11,768 11,824 22,146 22,773 22,647 22,940 23,010 1,771 1,811 1,918 1,914 1, Mongo 2,005 2,001 2,016 2,079 2, ,623 1,651 1,664 1,747 1, ,781 1,786 1,682 1,571 1, ,741 10,830 10,477 10,952 11,132 6,232 6,389 6,545 6,607 6, ,691 2,730 2,612 2,632 2,500 4,234 4,332 4,433 4,466 4, Habitchuelas Kangkong Ubi 3,628 3,678 3,381 3,703 4, ,388 3,326 3,323 3,411 3,325 3,409 3,412 3,438 3,470 3, Singkamas Pao(galiang) 1,417 1,310 1,303 1,223 1,153 2,621 2,632 2,632 2,633 2, Tugue Achuete Black beans Camansi Gisantes Kadios Kamias Kentucky beans Kondol Paco Pandan Saluyot Tanglad Winged beans BAS
35 , , , , , , , , , ,852 5,757 6,050 6,225 6,633 6, ,524 58,516 54,508 57,043 54,014 97, , , , , ,137 95,458 83,718 75,524 78,450 59,464 62,173 63,023 64,207 66,133 5,626 5,768 5,904 5,933 5,949 1,738 1,842 1,894 1,952 2, Mongo 1,020 1, ,425 1,482 1,512 1,588 1, ,721 6,774 5,628 4,833 4, ,621 56,817 54,435 57,624 57,517 23,348 24,146 24,311 24,944 25,648 4,255 4,447 4,156 4,365 4, ,216 2,214 2,233 2,224 2, ,923 2,953 2,981 3,888 3, ,883 11,068 9,997 10,371 9,838 14,396 14,890 15,279 15,632 16,006 1,152 1,458 1,551 1,446 1,328 1,751 1,828 1,862 1,881 1,936 2,316 2,339 2,127 2,165 2, Habitchuelas Kangkong ,951 1,964 1,517 1,567 1,639 1,367 1,290 1,348 1,363 1, ,242 1,280 1,313 1,327 1, ,291 9,279 9,580 9,812 9, Ubi 17,592 17,868 16,447 18,051 19, ,623 20,864 17,746 17,541 16,694 10,034 10,727 10,957 11,179 11, ,852 2,463 2,498 2,551 2, ,846 11,913 8,650 8,320 7, Singkamas (young) ,540 2,664 2,820 2,905 2, Pao (galiang) 1,753 1,759 1,718 1,631 1,444 5,793 5,804 5,859 5,961 6, Tugue Achuete Black beans Camansi Gisantes Kadios Kamias Kentucky beans Kondol Paco Pandan Saluyot Tanglad Winged beans BAS
36 ha ,877 11,504 11,388 11,101 11,700 17,117 16,858 15,829 16,698 16, ,535 3,480 3,393 3,095 3,144 2,968 2,875 2,771 2,724 2,750 5,689 5,407 5,407 5,476 6,018 9,733 9,113 8,282 9,003 8, Mongo ,148 1,116 1,129 1,066 1,031 1,288 1,798 1,793 1,829 1, ,465 1,601 1,592 1,616 1,584 4,345 4,324 4,250 4,244 4,240 5,795 5,942 5,950 6,144 6, ,719 1,651 1,571 1,583 1,538 2,481 2,104 2,045 2,039 2, Habitchuelas Kangkong Ubi ,059 1,135 1,174 1,319 1, Singkamas Pao(galiang) Tugue Achuete Camansi Kadios Kamias Kentucky beans Kinchay Kondol Paco Saluyot Tanglad Winged beans BAS
3 5 18 3 5000 1 2 7 8 120 1 9 1954 29 18 12 30 700 4km 1.5 100 50 6 13 5 99 93 34 17 2 2002 04 14 16 6000 12 57 60 1986 55 3 3 3 500 350 4 5 250 18 19 1590 1591 250 100 500 20 800 20 55 3 3 3 18 19 1590
パソコン機能ガイド
PART12 ii iii iv v 1 2 3 4 5 vi vii viii ix P A R T 1 x P A R T 2 xi P A R T 3 xii xiii P A R T 1 2 3 1 4 5 1 6 1 1 2 7 1 2 8 1 9 10 1 11 12 1 13 1 2 3 4 14 1 15 1 2 3 16 4 1 1 2 3 17 18 1 19 20 1 1
パソコン機能ガイド
PART2 iii ii iv v 1 2 3 4 5 vi vii viii ix P A R T 1 x P A R T 2 xi P A R T 3 xii xiii P A R T 1 2 1 3 4 1 5 6 1 2 1 1 2 7 8 9 1 10 1 11 12 1 13 1 2 3 14 4 1 1 2 3 15 16 1 17 1 18 1 1 2 19 20 1 21 1 22
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エクセルカバー入稿用.indd
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SC-85X2取説
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フィリピン教育セクター評価
第 2 章フィリピン教育セクターを取り巻く社会経済環境 本章では フィリピン教育セクターの諸課題の背景となっている社会環境 政治 経済等について概観する 特に 学齢人口の増加傾向 国民の文化的多様性 所得格差及び地域間格差の問題 フィリピンの置かれた経済状況等についてその概要をまとめる 2-1 人口増加の続く多文化社会フィリピン共和国 (Republic of the Philippines 以下フィリピン)
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活用ガイド （ハードウェア編）
(Windows 98) 808-877675-122-A ii iii iv NEC Corporation 1999 v vi PART 1 vii viii PART 2 PART 3 ix x xi xii P A R T 1 2 1 3 4 1 5 6 1 7 8 1 9 10 11 1 12 1 1 2 3 13 1 2 3 14 4 5 1 15 1 1 16 1 17 18 1 19
困ったときのQ&A
ii iii iv NEC Corporation 1997 v P A R T 1 vi vii P A R T 2 viii P A R T 3 ix x xi 1P A R T 2 1 3 4 1 5 6 1 7 8 1 9 1 2 3 4 10 1 11 12 1 13 14 1 1 2 15 16 1 2 1 1 2 3 4 5 17 18 1 2 3 1 19 20 1 21 22 1
III
III 1 1 2 1 2 3 1 3 4 1 3 1 4 1 3 2 4 1 3 3 6 1 4 6 1 4 1 6 1 4 2 8 1 4 3 9 1 5 10 1 5 1 10 1 5 2 12 1 5 3 12 1 5 4 13 1 6 15 2 1 18 2 1 1 18 2 1 2 19 2 2 20 2 3 22 2 3 1 22 2 3 2 24 2 4 25 2 4 1 25 2
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7 i 7 1 2 3 4 5 6 ii 7 8 9 10 11 1 12 13 14 iii.......................................... iv................................................ 21... 1 v 3 6 7 3 vi vii viii ix x xi xii xiii xiv xv 26 27
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パワポカバー入稿用.indd
i 1 1 2 2 3 3 4 4 4 5 7 8 8 9 9 10 11 13 14 15 16 17 19 ii CONTENTS 2 21 21 22 25 26 32 37 38 39 39 41 41 43 43 43 44 45 46 47 47 49 52 54 56 56 iii 57 59 62 64 64 66 67 68 71 72 72 73 74 74 77 79 81 84
これでわかるAccess2010
i 1 1 1 2 2 2 3 4 4 5 6 7 7 9 10 11 12 13 14 15 17 ii CONTENTS 2 19 19 20 23 24 25 25 26 29 29 31 31 33 35 36 36 39 39 41 44 45 46 48 iii 50 50 52 54 55 57 57 59 61 63 64 66 66 67 70 70 73 74 74 77 77
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i ii iii iv v 43 43 vi 43 vii T+1 T+2 1 viii 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 a) ( ) b) ( ) 51
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1 2 3 4 5 6 7 8 9 10 I II III 11 IV 12 V 13 VI VII 14 VIII. 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 _ 33 _ 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 VII 51 52 53 54 55 56 57 58 59
困ったときのQ&A
ii iii iv NEC Corporation 1998 v C O N T E N T S PART 1 vi vii viii ix x xi xii PART 2 xiii PART 3 xiv P A R T 1 3 1 2 PART 3 4 2 1 1 2 4 3 PART 1 4 5 5 6 PART 1 7 8 PART 1 9 1 2 3 1 2 3 10 PART 1 1 2
平成18年版 男女共同参画白書
i ii iii iv v vi vii viii ix 3 4 5 6 7 8 9 Column 10 11 12 13 14 15 Column 16 17 18 19 20 21 22 23 24 25 26 Column 27 28 29 30 Column 31 32 33 34 35 36 Column 37 Column 38 39 40 Column 41 42 43 44 45
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ii iii iv CON T E N T S iii iv v Chapter1 Chapter2 Chapter 1 002 1.1 004 1.2 004 1.2.1 007 1.2.2 009 1.3 009 1.3.1 010 1.3.2 012 1.4 012 1.4.1 014 1.4.2 015 1.5 Chapter3 Chapter4 Chapter5 Chapter6 Chapter7
活用ガイド （ソフトウェア編）
(Windows 95 ) ii iii iv NEC Corporation 1999 v P A R T 1 vi P A R T 2 vii P A R T 3 P A R T 4 viii P A R T 5 ix x P A R T 1 2 3 1 1 2 4 1 2 3 4 5 1 1 2 3 4 6 5 6 7 7 1 1 2 8 1 9 1 1 2 3 4 5 6 1 2 3 4
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Step2 入門
ii iii iv v vi NEC Corporation 1999 vii C O N T E N T S PART 1 PART 2 PART 3 viii PART 4 ix C O N T E N T S PART 5 x PART 6 xi C O N T E N T S PART 7 xii PART 8 PART 9 xiii C O N T E N T S xiv xv PART
海外における野菜・果実の生産管理状況
1 c o n t e n t s 1 3 3 5 8 10 12 12 13 15 22 22 24 2 (Department of Agriculture, Bureau of Plant Industry) (Keystone Seedhouse Corp.) (Greenworld Agri-Farm Center) (Filipinas Agri-Planters Supply Inc.)
活用ガイド （ソフトウェア編）
(Windows 98 ) ii iii iv v NEC Corporation 1999 vi P A R T 1 P A R T 2 vii P A R T 3 viii P A R T 4 ix P A R T 5 x P A R T 1 2 3 1 1 2 4 1 2 3 4 5 1 1 2 3 4 5 6 6 7 7 1 1 2 8 1 9 1 1 2 3 4 5 6 1 2 3 10
『戦時経済体制の構想と展開』
1 15 15 17 29 36 45 47 48 53 53 54 58 60 70 88 95 95 98 102 107 116 v 121 121 123 124 129 132 142 160 163 163 168 174 183 193 198 205 205 208 212 218 232 237 237 240 247 251 vi 256 268 273 289 293 311
活用ガイド (ソフトウェア編)
ii iii iv NEC Corporation 1998 v vi PA RT 1 vii PA RT 2 viii PA RT 3 PA RT 4 ix P A R T 1 2 3 1 4 5 1 1 2 1 2 3 4 6 1 2 3 4 5 7 1 6 7 8 1 9 1 10 1 2 3 4 5 6 7 8 9 10 11 11 1 12 12 1 13 1 1 14 2 3 4 5 1
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01_SWGuide_V8.50.fm
ii iii iv v 2 vi vii viii ix x xi xii xiii xiv xv xvi xvii 1 CHAPTER 1-1 1-2 1-3 2 CHAPTER 2-1 2-2 2-3 2-4 1 2 2-5 3 4 2-6 5 6 2-7 7 8 2-8 9 2-9 10 11 2-10 12 13 2-11 14 15 2-12 16 17 18 2-13 1 2 2-14
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（報告書まとめ 2004/03/ ）
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長崎県地域防災計画
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MultiPASS B-20 MultiPASS Suite 3.10使用説明書
TM MultiPASS Suite Ver.3.10 for Windows ii iii Copyright 1999 Canon Inc. ALL RIGHTS RESERVED iv v vi vii viii ix x 1 2 3 4 5 6 7 8 9 xi xii 1 1 1-1 1 2 3 1-2 4 5 1 1-3 6 1-4 1 7 8 1-5 9 10 11 1-6 1 1-7
VB-C50i/VB-C50iR 使用説明書
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DocuPrint CG 835 II 取扱説明書（サーバー編）
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リファレンス
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SPP24_Program_WOC(J)-15
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