Page 1 A PRELIMINARY DESK REVIEW of URBAN POVERTY IN THE EAST ASIA REGION : with particular focus on INDONESIA, THE PHILIPPINES, AND VIETNAM East Asia Urban Development Division VOLUME 2: ANNEX TABLES Final Draft September, 2002 31421 v. 2 Page 2 88 Page 3 88 TABLE OF CONTENTS Table A1: Selected Economic and Poverty Indicators, by City.......................................91 Table A2: Comparative Education Indicators, by City....................................................92 Table A3: Comparative Housing Sector Indicators, by City ...........................................93 Table A4: Infrastructure Service Indicators, by City.......................................................94 Table A5: Comparative Transport Indicators, by City.....................................................95 Table IN1: INDONESIA - Share of food expenditure in total household expenditure..................................................................................................................96 Table IN2: INDONESIA - Household demographics by type of settlement and per capita expenditure deciles (distribution in a group)....................................................97 Table IN3: INDONESIA - Educational level by type of locality and expenditure deciles ...................................................................................................................98 Table IN4: INDONESIA - School participation for children 6-14 years of age by size of locality and expenditure per capita deciles......................................................99 Table IN5: INDONESIA - Literacy rate among respondents age 5 years and older by expenditure deciles and type of settlement ..........................................................100 Table IN6: INDONESIA - Working status by size of locality, gender, and poverty status.............................................................................................................101 Table IN7: INDONESIA - Employment status by size of locality, gender, and poverty status.............................................................................................................102 Table IN8: INDONESIA - Housing by type of settlement and poverty status...............103 Table IN9: INDONESIA - Housing characteristics by type of settlement and per capita expenditure deciles.........................................................................................104 Table IN9: INDONESIA - Housing characteristics by type of settlement and per capita expenditure deciles.........................................................................................105 Table IN10: INDONESIA - Source of drinking water by type of settlement and per capita expenditure deciles...................................................................................106 Table IN11: INDONESIA - Drinking water by size of locality and poverty status .......107 Table IN12: INDONESIA - Sanitation by type of settlement and per capita expenditure deciles....................................................................................................108 Table IN13: INDONESIA - Sanitation by size of locality and poverty status ..............109 Table PH1: PHILIPPINES – Household Characteristics By Decile, Rural/Urban........110 Table PH2: PHILIPPINES – Household Characteristics By Decile, Rural/Urban........111 Table PH3: PHILIPPINES – Employment Status, By Decile, Rural/Urban .................112 Table PH4: MANILA – Employment Status, By Decile...............................................113 Table PH5: PHILIPPINES – Tenure Status, By Decile, Rural/Urban...........................114 Table PH6: PHILIPPINES – Type Of Housing, By Decile, Rural/Urban.....................115 Table PH7: MANILA – Type Of Housing, By Decile, Rural/Urban ............................116 Table PH8: PHILIPPINES – Type Of Roof, By Decile, Rural/Urban ..........................117 Table PH9: PHILIPPINES – Type Of Walls, By Decile, Rural/Urban.........................118 Table PH10: MANILA – Type Of Roof, By Decile......................................................119 Table PH11: MANILA – Tenure Status, By Decile......................................................120 Table PH12: PHILIPPINES – Source Of Water, By Decile, Rural/Urban....................121 Page 4 89 Table PH13: PHILIPPINES – Consumer Durables, By Poverty Status Rural/Urban...............................................................................................................122 Table PH14: MANILA – Source Of Water, By Decile .................................................123 Table PH15: PHILIPPINES – Source Of Water, By Poverty Status Rural/Urban........124 Table PH16: PHILIPPINES – Type Of Toilet, By Decile, Rural/Urban.......................125 Table PH17: PHILIPPINES – Type Of Toilet, By Poverty Status, Rural/Urban..........126 Table PH18: MANILA – Type Of Toilet, By Decile ....................................................127 Table PH19: MANILA – Consumer Durables, By Decile.............................................128 Table VN1: VIETNAM – Household Characteristics By Decile, Rural/Urban............129 Table VN2: VIETNAM – Household Characteristics, By Decile, Status, Rural/Urban...............................................................................................................130 Table VN3: VIETNAM – Ethnicity, By Decile, Rural/Urban.......................................131 Table VN4: Vietnam – Individual Characteristics, By Poverty Status, Rural/Urban...............................................................................................................132 Table VN5: VIETNAM – Individual Characteristics, By Decile, Rural/Urban............133 Table VN6: VIETNAM – Health Status, By Poverty Status, Rural/Urban...................134 Table VN7: VIETNAM – Smoking Behavior, By Poverty Status, Rural/Urban ..........135 Table VN8: VIETNAM – Type Of Housing, By Decile, Rural/Urban .........................136 Table VN9: VIETNAM – Type Of Housing, By Decile, Rural/Urban .........................137 Table VN10: VIETNAM – Type Of Housing, By Poverty Status, Rural/Urban ..........138 Table VN11: VIETNAM – Type Of Walls, By Decile, Rural/Urban............................139 Table VN12: VIETNAM – Type Of Roof, By Decile, Rural/Urban.............................140 Table VN13: VIETNAM – Household Characteristics, By Poverty Status, Rural/Urban...............................................................................................................141 Table VN14: VIETNAM – Type Of Lighting, By Decile, Rural/Urban.......................142 Table VN15: VIETNAM – Source Of Drinking Water, By Poverty, Status, Rural/Urban...............................................................................................................143 Table VN16: VIETNAM – Source Of Drinking Water, By Decile, Rural/Urban.........144 Table VN17: VIETNAM – Type Of Toilet, By Decile, Rural/Urban ...........................145 Table VN18: VIETNAM – Type Of Toilet, By Poverty Status, Rural/Urban...............146 Page 5 90 Volume 2 – Annex Tables Explanatory Note to Annex Tables IN1 through VN18 The following Annex Tables contain detailed data from the national household surveys for Indonesia, the Philippines and Vietnam as described in the main text. All data are percentages. Per capita expenditure deciles range from 1 (poorest) to 10 (richest). The classification of Poor and Non-Poor households is based on poverty lines estimated by the surveys, separately for the rural and urban populations. The tables show: (i) distribution within per capita expenditure deciles (column data for each set of variables add to 100 percent) or (ii) distribution across per capita expenditure deciles (row data for each variable add to 100 percent) for the rural and for urban household samples. Page 6 9 1 T a b l e A 1 : S e l e c t e d E c o n o m i c a n d P o v e r t y I n d i c a t o r s , b y C i t y R e g i o n C o u n t r y C i t y P o p u l a t i o n m e t r o p o l i t a n a r e a ( ‘ 0 0 0 ) A v e r a g e h o u s e h o l d i n c o m e ( i n $ ) a % H o u s e h o l d s b e l o w t h e l o c a l l y - d e f i n e d p o v e r t y l i n e U n e m p l o y m e n t ( % ) % o f T o t a l e m p l o y e d p o p . i n t h e i n f o r m a l s e c t o r V i c t i m s o f h o m i c i d e / ' 0 0 0 C a m b o d i a P h n o m P e n h 9 9 9 . 8 3 , 5 8 4 1 6 . 4 5 . 3 0 . 1 7 B a n d u n g 1 , 8 0 6 . 4 2 1 2 0 . 1 6 J a k a r t a 9 , 4 8 9 . 4 1 , 3 6 6 6 . 6 1 0 3 0 0 S e m a r a n g 1 , 0 7 6 . 2 7 5 6 2 4 . 8 1 0 . 2 0 . 0 2 I n d o n e s i a S u r a b a y a 2 , 3 7 3 . 3 1 , 1 6 7 0 . 9 7 0 . 5 0 . 0 1 J a p a n T o k y o 2 5 , 1 3 0 0 4 . 7 0 L a o P D R V i e n t i a n e 5 6 2 1 , 0 7 7 1 9 5 . 4 1 5 . 4 M a l a y s i a P e n a n g 3 , 1 9 3 6 . 1 3 . 2 M o n g o l i a U l a a n b a a t a r 6 2 7 9 9 1 3 0 1 . 9 2 9 . 7 0 . 1 0 M y a n m a r Y a n g o n 3 , 6 9 1 . 9 4 8 0 4 . 3 1 4 . 4 P h i l i p p i n e s C e b u 2 , 1 8 8 . 9 4 9 0 1 1 0 . 2 4 S i n g a p o r e S i n g a p o r e 3 , 1 6 3 . 5 2 7 , 0 4 7 4 8 . 8 0 . 0 1 H a n a m 1 2 4 1 9 , 9 3 3 1 . 5 8 P u s a n 3 , 8 4 3 1 9 , 9 3 3 2 . 1 8 . 9 0 . 0 5 S o u t h K o r e a S e o u l 1 0 , 3 9 2 2 3 , 5 0 0 1 . 1 7 . 8 0 . 0 4 B a n g k o k 5 , 6 4 7 8 , 5 2 1 1 5 . 9 4 . 7 1 7 0 . 8 0 T h a i l a n d C h i a n g M a i 4 9 9 3 , 3 8 4 9 . 7 3 4 . 4 7 . 6 0 . 1 5 H a n o i 2 . 1 6 E a s t A s i a V i e t n a m H o C h i M i n h 5 , 0 6 3 1 0 . 6 8 . 7 0 . 0 3 B a n g l a d e s h D h a k a 1 0 , 0 0 0 1 , 9 2 0 4 4 . 3 4 6 3 I n d i a B a n g a l o r e 4 , 4 7 2 b 1 8 . 6 5 0 . 3 3 4 . 2 N e p a l P o k h a r a 2 0 2 3 0 . 1 1 S o u t h A s i a S r i L a n k a C o l o m b o 4 , 6 0 0 1 8 6 9 2 0 . 4 A r g e n t i n a B u e n o s A i r e s 2 , 9 9 6 1 3 , 0 2 6 4 . 4 1 0 . 3 E c u a d o r G u a y a q u i l 2 , 3 1 7 . 4 5 , 3 9 1 4 8 1 1 . 3 5 3 0 . 2 3 P e r u L i m a 7 , 4 3 1 3 , 1 7 9 1 5 . 4 L a t i n A m e r i c a U r u g u a y M o n t e v i d e o 1 , 6 6 9 . 5 1 4 , 7 4 8 1 5 . 4 1 0 . 2 3 1 . 3 0 . 0 8 a d a t a a r e p r e l i m i n a r y ; b 1 9 9 3 d a t a S o u r c e : U N C H S G l o b a l U r b a n I n d i c a t o r s D a t a b a s e 2 ( 1 9 9 8 d a t a ) . W o r l d D e v e l o p m e n t I n d i c a t o r s D a t a b a s e , 2 0 0 0 a n d 2 0 0 1 , W o r l d B a n k , W a s h i n g t o n , D C . Page 7 92 Table A2: Comparative Education Indicators, by City Gross Enrollment Ratios Literacy Rate Region Country City Secondary (female) Secondary (male) Literacy (female) Literacy (male) Cambodia Phnom Penh 8.26 12.66 57 79.5 Jakarta 95.7 97.3 99.2 Indonesia Semarang 92.9 91.4 97.5 Japan Tokyo 100 100 100 100 Lao PDR Vientiane 54.9 45.2 78.9 92.2 Malaysia Penang 82 91 Mongolia Ulaanbaatar 74.2 64.7 97.1 99.1 Myanmar Yangon 57.7 53.3 88.7 90.6 Singapore Singapore 100 100 89.2 96.8 Hanam 99.9 99.9 Pusan 99.7 99.8 South Korea Seoul 99.9 99.9 Bangkok 95.1 98.4 Thailand Chiang Mai 90 93 Hanoi 89 95.1 East Asia Vietnam Ho Chi Minh 89.5 95.1 Bangladesh Dhaka 62.3 65.9 60.3 60.3 South Asia Nepal Pokhara 35.4 26.6 42 66.2 Ecuador Guayaquil 75.3 68.6 97.8 98.2 Latin America Uruguay Montevideo 100 93.9 98.3 98.6 Source: UNCHS Global Urban Indicators Database 2 (1998 data). Page 8 9 3 T a b l e A 3 : C o m p a r a t i v e H o u s i n g S e c t o r I n d i c a t o r s , b y C i t y T e n u r e T y p e s R e g i o n C o u n t r y C i t y F o r m a l o w n e r s h i p % T e n a n c y % S q u a t t e r s % O t h e r % H o u s e p r i c e - t o - i n c o m e r a t i o % R e n t - t o - i n c o m e r a t i o % C a m b o d i a P h n o m P e n h 2 1 . 8 0 1 6 . 4 6 1 . 8 8 . 9 B a n d u n g 7 . 6 J a k a r t a 6 1 . 4 3 4 . 1 0 4 . 5 1 4 . 6 S e m a r a n g 6 4 1 6 . 2 0 1 9 . 8 I n d o n e s i a S u r a b a y a 6 6 . 6 3 1 2 0 . 4 3 . 4 1 9 J a p a n T o k y o 5 . 6 2 . 5 L a o P D R V i e n t i a n e 8 5 . 6 6 . 6 7 . 4 0 . 4 2 3 . 2 1 0 M a l a y s i a P e n a n g 7 . 2 4 . 9 M o n g o l i a U l a a n b a a t a r 1 8 . 2 3 3 . 4 4 8 . 4 0 7 . 8 M y a n m a r Y a n g o n 5 0 3 7 . 4 1 . 5 1 1 . 1 8 . 3 1 5 . 4 P h i l i p p i n e s C e b u 8 6 9 5 0 1 3 . 3 S i n g a p o r e S i n g a p o r e 9 3 . 4 6 . 6 0 0 3 . 1 2 H a n a m 3 . 7 1 3 . 9 P u s a n 4 4 5 6 0 0 4 . 0 S o u t h K o r e a S e o u l 3 9 . 7 5 8 . 9 0 1 . 4 5 . 7 B a n g k o k 3 5 . 8 4 1 . 4 1 7 . 9 8 . 8 2 2 . 2 T h a i l a n d C h i a n g M a i 7 7 . 0 1 9 . 5 3 . 0 0 . 5 6 . 8 2 5 E a s t A s i a V i e t n a m H a n o i 3 0 5 B a n g l a d e s h D h a k a 1 6 . 7 I n d i a B a n g a l o r e 6 2 . 3 1 7 . 2 8 . 0 1 2 . 5 1 3 . 8 N e p a l P o k h a r a 7 6 9 1 4 1 2 1 . 6 3 4 S o u t h A s i a S r i L a n k a C o l o m b o 5 8 2 9 0 1 3 A r g e n t i n a B u e n o s A i r e s 6 9 . 6 2 2 . 5 5 . 7 2 . 2 5 . 1 E c u a d o r G u a y a q u i l 2 8 . 4 1 7 . 4 4 9 . 5 . 2 3 . 4 1 6 . 1 P e r u L i m a 5 7 . 2 2 3 . 4 1 8 . 8 0 . 6 8 . 7 L a t i n A m e r i c a U r u g u a y M o n t e v i d e o 6 6 . 2 2 1 . 8 1 . 3 1 0 . 7 5 . 6 3 1 . 1 S o u r c e : U N C H S G l o b a l U r b a n I n d i c a t o r s D a t a b a s e 2 ( 1 9 9 8 d a t a ) . Page 9 9 4 T a b l e A 4 : I n f r a s t r u c t u r e S e r v i c e I n d i c a t o r s , b y C i t y C o n n e c t i o n s ( % ) S o l i d W a s t e D i s p o s a l ( % ) R e g i o n C o u n t r y C i t y H o u s e h o l d s w i t h a c c e s s t o w a t e r w i t h i n 2 0 0 m % w a t e r s e w e r - a g e e l e c t r i - c i t y t e l e - p h o n e s a n i t a r y l a n d f i l l i n c i n - e r a t e d o p e n d u m p r e c y c l e d b u r n e d o p e n l y o t h e r C a m b o d i a P h n o m P e n h 8 5 . 4 4 4 . 7 7 4 . 9 7 5 . 5 4 0 0 0 7 4 1 5 5 6 B a n d u n g 9 0 5 5 9 9 7 8 . 6 0 0 0 1 6 . 3 5 . 1 J a k a r t a 9 1 . 4 5 0 . 3 6 4 . 8 9 9 7 7 . 7 0 0 0 0 2 2 . 3 S e m a r a n g 8 9 . 7 3 4 8 5 . 2 7 4 . 3 0 0 0 0 2 5 . 7 I n d o n e s i a S u r a b a y a 9 4 . 3 4 0 . 9 5 5 . 8 8 9 . 2 7 0 . 8 7 0 0 0 3 0 0 0 J a p a n T o k y o 1 0 0 1 0 0 1 0 0 1 0 0 9 9 . 2 8 . 6 7 8 0 . 1 1 0 . 3 0 3 L a o P D R V i e n t i a n e 9 5 8 7 1 0 0 8 6 . 8 M a l a y s i a P e n a n g 9 9 . 9 9 9 . 1 1 0 0 9 8 0 1 0 8 0 1 0 0 0 M o n g o l i a U l a a n b a a t a r 9 0 . 3 6 0 6 0 1 0 0 9 0 5 5 9 0 0 0 0 M y a n m a r Y a n g o n 9 5 7 7 . 8 8 1 . 2 8 5 1 7 . 3 0 0 8 6 1 4 0 0 P h i l i p p i n e s C e b u 9 8 . 2 4 1 . 4 9 2 . 3 8 0 2 5 1 0 0 0 0 0 0 0 S i n g a p o r e S i n g a p o r e 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 3 3 . 7 6 6 . 3 0 0 0 0 H a n a m 8 1 . 1 8 1 . 1 6 7 . 9 1 0 0 1 0 0 6 7 3 0 3 0 0 0 P u s a n 9 9 . 9 9 7 . 9 6 9 . 4 1 0 0 1 0 0 4 1 . 2 1 4 . 5 0 4 4 . 3 0 0 S o u t h K o r e a S e o u l 9 9 . 9 9 9 . 9 9 8 . 6 1 0 0 5 7 5 0 3 8 0 0 B a n g k o k 9 9 1 0 0 9 9 . 8 5 9 . 7 9 9 0 0 0 0 1 T h a i l a n d C h i a n g M a i 9 9 9 5 6 0 1 0 0 7 5 9 8 2 0 0 0 0 H a n o i 1 0 0 7 0 5 0 1 0 0 6 0 6 5 0 0 1 5 0 2 0 E a s t A s i a V i e t n a m H o C h i M i n h 9 0 5 9 3 0 9 9 . 7 2 1 . 2 B a n g l a d e s h D h a k a 9 9 . 1 6 0 2 2 9 0 7 0 0 5 0 3 5 0 1 5 I n d i a B a n g a l o r e 8 2 . 9 2 2 . 5 2 0 . 8 9 8 . 3 4 4 . 5 0 0 6 0 . 8 1 4 . 5 0 2 4 . 7 N e p a l P o k h a r a 8 0 4 1 . 4 7 5 1 1 . 3 0 0 7 6 . 7 1 5 . 9 7 . 4 0 S o u t h A s i a S r i L a n k a C o l o m b o 2 2 . 9 7 6 9 6 2 6 0 0 1 0 0 0 0 0 A r g e n t i n a B u e n o s A i r e s 1 0 0 1 0 0 9 8 . 1 1 0 0 7 0 . 4 1 0 0 0 0 0 0 0 E c u a d o r G u a y a q u i l 7 7 7 0 4 2 9 9 4 4 9 4 0 0 . 3 0 . 3 1 . 2 4 . 2 P e r u L i m a 8 1 . 1 7 5 . 2 7 1 . 5 9 9 5 7 0 3 4 7 2 0 L a t i n A m e r i c a U r u g u a y M o n t e v i d e o 9 9 . 3 9 7 . 6 7 9 . 1 9 9 . 7 7 5 . 1 0 0 . 2 9 9 . 8 0 0 0 S o u r c e : U N C H S G l o b a l U r b a n I n d i c a t o r s D a t a b a s e 2 ( 1 9 9 8 d a t a ) . Page 10 95 Table A5: Comparative Transport Indicators, by City Transport Modes Region Country City Travel time per work- trip (mn) private motorized (%) train/tram (%) bus/minibus (%) bicycle/ walking/ other (%) Cambodia Phnom Penh 45 87.3 0 0.2 12.5 Bandung 30 82 Indonesia Surabaya 35 80 0 17.8 2.2 Japan Tokyo 45 Lao PDR Vientiane 27 41.8 0 2.1 56.1 Malaysia Penang 40 42 0 55 3 Mongolia Ulaanbaatar 30 10 21 59 10 Myanmar Yangon 45 16.7 3.7 65 14.7 Philippines Cebu 35 Singapore Singapore 30 25.1 14.5 38.7 21.7 Pusan 42 37.1 6.6 32.5 23.8 South Korea Seoul 60 20.1 32.3 38.8 8.8 Bangkok 60 58.7 1 27 13.3 Thailand Chiang Mai 30 94.1 0 5 0.9 Hanoi 30 64.4 0 2 33.6 East Asia Vietnam Ho Chi Minh 25 74 0 2 24 Bangladesh Dhaka 45 4.6 0 9.2 86.2 India Bangalore 30 39.6 0 35.7 24.7 Nepal Pokhara 20 11 0 14 75 South Asia Sri Lanka Colombo 25 23.7 8.1 65 3.2 Argentina Buenos Aires 42 33.5 16.4 42.2 Ecuador Guayaquil 45 10.7 0 89.3 0 Peru Lima 16.9 0 82.2 0.9 Latin America Uruguay Montevideo 45 26.9 0 59.6 13.5 Source: UNCHS Global Urban Indicators Database 2 (1998 data). Page 11 96 Table IN1: INDONESIA - Share of food expenditure in total household expenditure Expenditure deciles Type of Settlement 1 2 3 4 5 6 7 8 9 10 Total Rural 0.775 0.772 0.77 0.764 0.757 0.753 0.748 0.737 0.723 0.662 0.747 Urban <250 t h 0.746 0.733 0.723 0.71 0.703 0.686 0.672 0.653 0.627 0.561 0.69 Urban 250-500K 0.729 0.712 0.701 0.686 0.676 0.662 0.642 0.614 0.578 0.52 0.66 Urban 500-1M 0.712 0.699 0.685 0.679 0.663 0.651 0.615 0.612 0.563 0.502 0.639 Urban 1M-2M 0.704 0.67 0.658 0.646 0.627 0.629 0.611 0.585 0.572 0.518 0.62 Urban 2M+ 0.634 0.619 0.608 0.592 0.59 0.567 0.569 0.554 0.543 0.45 0.56 Page 12 9 7 T a b l e I N 2 : I N D O N E S I A - H o u s e h o l d d e m o g r a p h i c s b y t y p e o f s e t t l e m e n t a n d p e r c a p i t a e x p e n d i t u r e d e c i l e s ( d i s t r i b u t i o n i n a g r o u p ) R u r a l U r b a n E x p e n d i t u r e d e c i l e s E x p e n d i t u r e d e c i l e s 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l H o u s e h o l d h e a d s h i p F e m a l e - h e a d e d h o u s e h o l d 8 . 3 7 . 3 7 . 5 8 . 5 8 . 6 9 . 3 1 0 . 6 1 1 . 6 1 3 . 2 1 5 1 0 0 8 . 1 7 . 5 7 . 5 8 . 4 8 . 6 9 . 4 1 0 . 7 1 1 . 6 1 3 1 5 . 2 1 0 0 M a l e - h e a d e d h o u s e h o l d 1 0 . 2 1 0 . 4 1 0 . 4 1 0 . 2 1 0 . 2 1 0 . 1 9 . 9 9 . 8 9 . 6 9 . 3 1 0 0 1 0 . 3 1 0 . 4 1 0 . 5 1 0 . 3 1 0 . 2 1 0 . 1 9 . 9 9 . 7 9 . 5 9 . 1 1 0 0 A g e o f t h e h e a d < 1 5 y e a r s o l d 3 6 . 1 1 0 . 6 3 4 . 5 7 . 6 1 2 . 1 1 8 . 2 1 6 . 7 1 8 . 2 1 0 0 2 . 7 4 . 1 5 . 4 8 . 1 5 . 4 1 3 . 5 1 3 . 5 1 8 . 9 1 4 . 9 1 3 . 5 1 0 0 1 5 - 2 5 y e a r s o l d 6 . 5 7 . 3 8 . 7 8 . 5 9 . 5 9 . 6 1 0 . 2 1 1 . 4 1 2 . 8 1 5 . 4 1 0 0 3 . 5 4 . 5 5 . 3 5 . 5 6 . 9 8 . 1 1 0 1 1 . 4 1 8 . 3 2 6 . 6 1 0 0 2 5 - 3 5 y e a r s o l d 9 . 9 1 0 . 2 1 0 . 4 1 0 . 1 1 0 . 3 1 0 . 2 9 . 8 1 0 9 . 4 9 . 7 1 0 0 8 . 9 1 0 . 4 1 0 . 2 1 0 . 2 1 0 . 5 1 0 . 4 1 0 . 4 1 0 . 2 9 . 4 9 . 5 1 0 0 3 5 - 4 5 y e a r s o l d 1 2 . 1 1 1 . 5 1 0 . 7 1 0 . 7 1 0 . 1 9 . 8 9 . 5 8 . 8 8 . 5 8 . 4 1 0 0 1 2 . 2 1 1 . 4 1 1 . 3 1 0 . 7 1 0 . 6 1 0 . 2 9 . 3 9 . 3 8 . 1 7 1 0 0 4 5 - 5 5 y e a r s o l d 1 0 . 3 1 0 . 3 1 0 . 1 9 . 9 9 . 9 9 . 8 9 . 9 9 . 9 1 0 9 . 9 1 0 0 1 0 . 5 9 . 9 9 . 7 1 0 . 5 9 . 7 9 . 8 1 0 . 1 1 0 1 0 . 4 9 . 4 1 0 0 5 5 - 6 5 y e a r s o l d 8 . 4 8 . 6 9 9 . 8 9 . 6 1 0 . 1 1 0 . 5 1 1 . 1 1 1 . 7 1 1 . 3 1 0 0 9 . 9 9 . 9 1 0 . 3 9 . 5 9 . 9 1 0 . 3 9 . 7 1 0 . 3 1 0 . 5 9 . 7 1 0 0 6 5 + 7 . 6 8 8 . 9 9 . 1 1 0 . 1 1 0 . 6 1 1 . 1 1 1 . 4 1 2 . 1 1 1 1 0 0 9 . 6 9 . 2 9 . 3 1 0 . 4 1 0 . 3 1 0 1 1 . 5 1 0 . 2 9 . 8 9 . 7 1 0 0 T y p e o f t h e h o u s e h o l d N u c l e a r f a m i l y 4 . 2 6 . 2 8 . 1 9 . 1 1 0 1 1 . 2 1 2 . 6 1 4 1 3 1 1 . 4 1 0 0 3 . 8 7 . 3 9 . 6 1 1 . 4 1 2 . 3 1 2 . 6 1 2 . 6 1 2 . 2 1 0 . 4 7 . 7 1 0 0 S i n g l e p a r e n t 8 . 6 9 . 4 9 . 4 1 0 . 8 1 0 . 4 1 1 . 1 1 1 . 4 1 0 . 5 1 0 . 3 8 . 3 1 0 0 1 0 . 8 1 1 . 5 1 1 1 1 9 . 8 1 0 . 5 1 0 . 1 9 . 9 7 . 8 7 . 7 1 0 0 E l d e r l y 2 . 9 3 . 4 5 . 3 6 . 3 7 . 8 8 . 8 1 2 . 2 1 4 . 4 1 8 . 3 2 0 . 7 1 0 0 4 . 4 5 . 1 5 . 8 7 . 9 8 . 3 1 0 . 7 1 1 . 7 1 3 . 4 1 4 . 9 1 7 . 7 1 0 0 S i n g l e a d u l t 2 . 5 3 . 6 5 6 . 4 7 . 9 9 . 3 1 0 . 6 1 3 . 3 1 7 . 5 2 4 1 0 0 2 . 2 3 . 3 4 . 4 5 . 5 7 . 1 8 . 5 1 1 . 1 1 4 . 4 1 8 2 5 . 4 1 0 0 F a m i l y w i t h 3 + c h i l d r e n 2 2 1 6 . 6 1 3 . 6 1 1 . 5 9 . 7 8 . 3 6 . 7 5 . 1 3 . 9 2 . 7 1 0 0 2 4 . 6 1 7 1 3 . 4 1 0 . 7 9 . 3 7 . 9 6 4 . 9 3 . 9 2 . 4 1 0 0 F a m i l y o f a d u l t s 4 . 3 6 . 4 7 . 9 9 . 4 9 . 9 1 0 . 3 1 2 . 1 1 2 . 8 1 2 . 8 1 4 . 2 1 0 0 4 6 . 1 7 . 9 8 . 9 1 0 . 4 1 0 . 6 1 2 . 5 1 2 . 8 1 3 . 6 1 3 . 1 1 0 0 O t h e r t y p e s o f f a m i l i e s 1 0 1 1 . 5 1 1 . 5 1 1 . 3 1 1 . 2 1 0 . 9 1 0 . 1 9 . 2 8 6 . 4 1 0 0 1 0 . 7 1 2 1 2 1 1 . 8 1 1 . 1 1 0 . 7 9 . 8 8 . 7 7 . 7 5 . 4 1 0 0 Page 13 98 Table IN3: INDONESIA - Educational level by type of locality and expenditure deciles Rural Urban Expenditure deciles Expenditure deciles 1 2 3 4 5 6 7 8 9 10 Total 1 2 3 4 5 6 7 8 9 10 Total Education Not completed 52.6 49.1 45.8 43.9 42.2 41 38.8 37.1 34 28 42.1 38 32 28.7 25.6 23.9 21.5 19.4 17.2 14.6 11.3 24.4 Primary school 35.5 36.3 36.7 37 36.8 36.2 36.2 35.4 34.2 30 35.6 31.7 30.3 28.9 27.6 26.3 24.4 22.5 19.7 18 14.7 25.2 Junior high 8.4 9.7 11.2 11.9 12.2 12.9 13.7 14.2 15.3 16 12.3 16.3 18.8 19.2 20.3 20 20.3 20.5 19.8 18.5 16.8 19 Vocational JH 2.5 3.3 4.1 4.6 5.5 6.1 6.8 7.7 9.1 13 5.9 9.4 12.1 14.4 16.1 17.8 19.9 21.9 24.3 27.2 30.4 18.4 Senior high 0.8 1.3 1.8 2 2.5 2.9 3.2 3.9 4.8 7.2 2.8 3.7 5.2 6.1 7 7.5 7.9 8.3 8.9 8.5 7.4 6.9 Dimploma I/II 0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.6 0.8 1.6 0.4 0.2 0.3 0.5 0.6 0.8 0.9 1.1 1.3 1.5 1.6 0.8 Diploma III 0.1 0.1 0.1 0.2 0.2 0.2 0.3 0.4 0.7 1.5 0.3 0.3 0.6 0.9 1 1.4 1.9 2.4 3.2 4 5.4 1.9 Diploma IV 0.1 0.1 0.2 0.2 0.3 0.4 0.6 0.8 1 2.6 0.5 0.4 0.8 1.3 1.8 2.2 3.2 3.7 5.5 7.2 11.7 3.3 Master/Ph.D. 0 0 0 0 0 0 0 0 0 0.1 0 0 0 0 0 0 0.1 0.1 0.2 0.3 0.8 0.1 Rural Urban Expenditure deciles Expenditure deciles 1 2 3 4 5 6 7 8 9 10 Total 1 2 3 4 5 6 7 8 9 10 Total Education Not completed 15 13.4 12 11.1 10.3 9.7 8.8 7.9 6.7 5.1 100 19.5 15.4 13.1 11.2 10.1 8.7 7.5 6.3 5 3.3 100 Primary school 12 11.7 11.4 11.1 10.6 10.2 9.7 9 8 6.5 100 15.7 14.1 12.7 11.6 10.7 9.6 8.4 6.9 6 4.2 100 Junior high 8.2 9.1 10 10.3 10.2 10.5 10.7 10.5 10.4 10.1 100 10.7 11.6 11.2 11.3 10.8 10.6 10.2 9.2 8.2 6.3 100 Vocational JH 5.1 6.3 7.6 8.4 9.6 10.3 11 11.7 12.9 17 100 6.4 7.7 8.7 9.3 10 10.7 11.2 11.7 12.4 11.8 100 Senior high 3.4 5.1 7 7.5 9.1 10.4 10.9 12.6 14.3 19.7 100 6.8 8.9 9.8 10.8 11.3 11.4 11.4 11.5 10.4 7.7 100 Dimploma I/II 1.8 3.3 4.1 5.4 7 7.8 10.2 12.2 17.4 30.8 100 3.3 4.5 7.2 8.1 10.4 10.7 12.1 14.4 15.5 13.8 100 Diploma III 2 2 4.2 5.1 6 7 9.6 12 16.9 35.3 100 1.9 3.6 5.2 5.6 7.4 9.9 12.3 15.1 18.2 20.7 100 Diploma IV 1.3 2.3 3.5 4.4 6.4 7.1 9.7 12.9 16 36.5 100 1.6 2.8 4.3 5.7 7 9.6 10.6 14.7 18.4 25.4 100 Master/Ph.D. 1.9 1.9 3.8 1.9 9.6 1.9 9.6 9.6 3.8 55.8 100 0.6 0.6 2.6 2.6 3.2 6.5 8.1 14.2 20.1 41.4 100 Page 14 99 Table IN4: INDONESIA - School participation for children 6-14 years of age by size of locality and expenditure per capita deciles Expenditure deciles 1 2 3 4 5 6 7 8 9 10 Total Type of settlement School participation Not in school 22.3 16.0 13.5 11.4 9.8 8.2 6.8 5.4 4.1 2.5 100 In school 15.4 13.6 12.2 11.3 10.4 9.7 8.7 7.6 6.2 4.9 100 Rural No longer in school 23.9 16.4 13.7 11.5 9.0 8.0 6.5 5.1 4.0 1.9 100 Not in school 26.6 15.6 14.2 12.8 9.5 6.9 5.0 4.5 3.4 1.5 100 In school 18.0 15.0 13.4 12.1 10.1 9.1 7.5 6.4 5.1 3.2 100 Urban <250th No longer in school 39.0 18.4 11.0 10.8 6.7 3.7 4.6 3.5 1.7 0.8 100 Not in school 24.3 15.0 15.0 9.1 11.2 8.1 6.5 3.9 4.6 2.3 100 In school 17.2 14.4 12.5 11.3 10.1 9.5 7.6 7.1 6.4 3.9 100 Urban 250-500K No longer in school 39.1 19.9 9.6 7.7 7.0 4.4 4.1 3.7 2.2 2.2 100 Not in school 23.3 19.4 12.1 11.6 10.3 8.6 4.7 3.0 4.7 2.2 100 In school 18.0 16.3 12.1 11.2 9.7 9.2 7.5 6.0 5.6 4.4 100 Urban 500-1M No longer in school 38.2 26.5 9.8 8.8 3.9 2.0 4.9 1.0 2.0 2.9 100 Not in school 33.1 15.0 11.6 9.3 9.0 6.8 5.1 3.7 4.5 2.0 100 In school 17.0 13.5 11.1 9.6 10.1 9.2 8.9 7.7 7.4 5.5 100 Urban 1M-2M No longer in school 43.2 23.6 8.1 8.8 4.7 2.0 2.0 0.7 3.4 3.4 100 Not in school 18.8 16.8 14.7 8.9 8.4 8.9 12.0 6.3 3.7 1.6 100U In school 12.5 10.7 12.1 9.5 11.3 12.0 11.2 7.7 7.8 5.4 100 Urban 2M+ No longer in school 28.4 8.1 18.9 8.1 8.1 4.1 4.1 6.8 6.8 6.8 100 Page 15 100 Table IN5: INDONESIA - Literacy rate among respondents age 5 years and older by expenditure deciles and type of settlement Expenditure deciles 1 2 3 4 5 6 7 8 9 10 Total Type of settlement Can read/write R/W Latin 76.1 78.6 79.7 80.5 81.0 82.3 82.8 83.6 84.4 88.0 81.2 R/W Other 1.6 1.4 1.4 1.4 1.4 1.4 1.3 1.5 1.3 1.1 1.4 Rural Cannot R/W 22.3 19.9 18.9 18.2 17.5 16.2 15.9 14.9 14.3 10.9 17.4 R/W Latin 87.7 91.2 91.9 93.1 93.8 94.4 94.6 95.1 96.3 97.3 92.9 R/W Other 0.8 0.6 0.6 0.5 0.6 0.4 0.4 0.5 0.5 0.4 0.5 Urban <250th Cannot R/W 11.5 8.2 7.5 6.4 5.7 5.3 5.0 4.5 3.2 2.4 6.6 R/W Latin 85.6 88.9 89.3 90.6 91.5 92.1 93.1 94.9 95.7 96.9 91.3 R/W Other 1.2 0.9 1.0 1.0 1.1 0.9 0.7 0.8 0.7 0.3 0.9 Urban 250-500K Cannot R/W 13.2 10.1 9.7 8.4 7.4 7.1 6.2 4.3 3.5 2.8 7.8 R/W Latin 89.9 92.4 92.3 93.2 92.8 94.2 96.0 96.5 97.1 98.0 93.9 R/W Other 0.6 0.7 0.7 0.5 0.5 0.4 0.4 0.3 0.4 0.1 0.5 Urban 500-1M Cannot R/W 9.5 6.9 7.1 6.2 6.8 5.5 3.6 3.2 2.5 1.9 5.7 R/W Latin 88.9 92.2 92.9 93.4 94.6 94.7 96.0 96.7 96.8 98.1 94.2 R/W Other 0.4 0.5 0.5 0.5 0.8 0.6 0.4 0.3 0.3 0.1 0.5 Urban 1M-2M Cannot R/W 10.7 7.2 6.6 6.1 4.7 4.7 3.6 3.0 2.9 1.8 5.3 R/W Latin 93.8 93.7 94.6 94.9 96.1 96.3 96.2 96.6 97.6 97.9 95.9 R/W Other 0.7 0.7 0.7 1.0 0.5 0.6 0.6 0.6 0.5 0.6 0.6 Urban 2M+ Cannot R/W 5.5 5.6 4.7 4.1 3.4 3.1 3.2 2.8 1.9 1.5 3.4 Expenditure deciles 1 2 3 4 5 6 7 8 9 10 Total Type of settlement Can read/write R/W Latin 11.8 11.3 10.9 10.6 10.3 10.0 9.6 9.1 8.5 7.9 100 R/W Other 14.4 12.0 11.0 10.6 10.6 10.1 8.9 9.1 7.8 5.6 100 Rural Cannot R/W 16.1 13.4 12.2 11.2 10.4 9.2 8.7 7.6 6.7 4.6 100 R/W Latin 13.3 12.5 12.0 11.6 10.8 9.9 8.9 8.3 7.3 5.5 100 R/W Other 20.5 14.5 13.0 10.8 11.5 6.8 6.5 6.8 6.2 3.4 100 Urban <250th Cannot R/W 24.6 15.9 13.8 11.3 9.2 7.8 6.6 5.5 3.4 1.9 100 R/W Latin 12.3 11.7 10.9 10.5 10.1 10.0 9.5 9.5 8.6 6.8 100 R/W Other 17.7 12.4 12.4 11.6 12.2 9.6 7.1 7.9 6.5 2.4 100 Urban 250-500K Cannot R/W 22.2 15.7 1 3.8 11.4 9.5 9.0 7.4 5.0 3.7 2.3 100 R/W Latin 12.5 12.6 10.9 10.6 9.3 9.1 9.2 8.4 8.8 8.5 100 R/W Other 16.1 19.5 15.3 11.9 9.3 6.8 6.8 5.1 7.6 1.7 100 Urban 500-1M Cannot R/W 22.0 15.5 13.9 11.7 11.2 8.8 5.7 4.6 3.8 2.7 100 R/W Latin 12.1 10.8 9.5 9.1 9.6 9.4 10.4 9.4 10.0 9.7 100 R/W Other 12.6 13.3 11.1 11.1 16.3 12.6 8.1 5.9 7.4 1.5 100 Urban 1M-2M Cannot R/W 25.6 14.9 11.9 10.5 8.3 8.2 6.9 5.1 5.3 3.2 100 R/W Latin 8.1 7.9 9.5 8.6 10.5 11.6 11.1 10.5 10.9 11.3 100 R/W Other 9.2 9.2 11.2 13.8 8.6 10.5 10.5 9.2 7.9 9.9 100 Urban 2M+ Cannot R/W 13.2 13.1 13.1 10.4 10.4 10.3 10.3 8.5 5.9 5.0 100 Page 16 101 Table IN6: INDONESIA - Working status by size of locality, gender, and poverty status Non-poor Poor Total Type of settlement Not working 56.7 56.6 56.7 Female Working 43.3 43.4 43.3 Not working 25.8 27 26.4 Rural Male Working 74.2 73 73.6 Not working 64.4 71.1 66.1 Female Working 35.6 28.9 33.9 Not working 36 41.1 37.3 Urban <250th Male Working 64 58.9 62.7 Not working 62.8 64.8 63.3 Female Working 37.2 35.2 36.7 Not working 35.1 38.5 35.8 Urban 250-500K Male Working 64.9 61.5 64.2 Not working 62.7 64.4 63.1 Female Working 37.3 35.6 36.9 Not working 37.5 39.5 37.9 Urban 500-1M Male Working 62.5 60.5 62.1 Not working 67.5 71.8 68.3 Female Working 32.5 28.2 31.7 Not working 38.7 42.7 39.4 Urban 1M-2M Male Working 61.3 57.3 60.6 Not working 66.7 74.2 67.2 Female Working 33.3 25.8 32.8 Not working 36.4 42.5 36.8 Urban 2M+ Male Working 63.6 57.5 63.2 Page 17 102 Table IN7: INDONESIA - Employment status by size of locality, gender, and poverty status Non-poor Poor Total Type of settlement Other 96.9 97.2 97 Female Unemployed (Official) 3.1 2.8 3 Other 96.9 97.3 97.1 Rural Male Unemployed (Official) 3.1 2.7 2.9 Other 94.4 93.3 94.1 Female Unemployed (Official) 5.6 6.7 5.9 Other 93.8 91.5 93.2 Urban <250th Male Unemployed (Official) 6.2 8.5 6.8 Other 94.8 94.2 94.6 Female Unemployed (Official) 5.2 5.8 5.4 Other 93.5 91.1 92.9 Urban 250-500K Male Unemployed (Official) 6.5 8.9 7.1 Other 95 94.4 94.9 Female Unemployed (Official) 5 5.6 5.1 Other 91.8 89.4 91.3 Urban 500-1M Male Unemployed (Official) 8.2 10.6 8.7 Other 94.2 92.7 93.9 Female Unemployed (Official) 5.8 7.3 6.1 Other 92.4 89 91.7 Urban 1M-2M Male Unemployed (Official) 7.6 11 8.3 Other 94.4 89.9 94.1 Female Unemployed (Official) 5.6 10.1 5.9 Other 90.9 87.4 90.7 Urban 2M+ Male Unemployed (Official) 9.1 12.6 9.3 Page 18 103 Table IN8: INDONESIA - Housing by type of settlement and poverty status Rural Urban Non-poor Poor Total Non-poor Poor Total Status of house Private 88.8 94.5 90.7 66.6 76.5 68.1 Lease 1.2 0.3 0.9 11.3 7.7 10.8 Rent 2 0.5 1.5 10.6 6.2 9.9 Official 3.2 1.4 2.6 4.7 1.2 4.2 Free 3.4 2.2 3 5.4 6.4 5.5 Other 1.3 1 1.2 1.5 1.9 1.5 Type of roof Concrete 1.2 0.7 1 2.8 1.6 2.6 Corrugated tile 45.7 47.4 46.2 52.4 57.4 53.1 Shingle roof 4.4 2.1 3.6 3 1.2 2.7 Iron sheeting 38.8 31.9 36.5 35.7 33.5 35.4 Asbestos 0.9 0.3 0.7 4.4 1.4 3.9 Sugar pulp fiber 0.3 0.4 0.3 0.1 0.4 0.2 Leaves 8.4 16 11 1.3 4.4 1.8 Other 0.4 1.1 0.6 0.2 0.2 0.2 Type of walls Brick 46.4 31.3 41.4 74.7 57 72 Wood 39 39.2 39.1 20.6 29.9 22 Bamboo 11.2 22.4 14.9 2.7 10.5 3.9 Other 3.4 7.1 4.6 2 2.6 2.1 Type of floor Marble 7.8 2.2 6 23 7.1 20.6 Floor tile 11.6 6.6 10 23.1 16.8 22.1 Cement plaster 39 31.4 36.5 41.7 55.4 43.8 Wood 25.3 21.5 24.1 10.3 10.7 10.4 Bamboo 1.3 2.3 1.7 0.2 0.6 0.2 Earth 14.5 34.9 21.2 1.6 9.2 2.8 Other 0.4 1.1 0.7 0.1 0.1 0.1 Floor area 0 15 11.7 13.9 21.5 10.3 19.8 <10 m2 0.4 0.3 0.3 3.3 0.9 2.9 10-20 m2 3 3.7 3.2 7.4 6.4 7.3 20-40 m2 20.6 25.4 22.2 18.8 27.2 20.1 40-60 m2 30.9 32.7 31.5 23 29.6 24 60+ m2 30 26.2 28.8 26 25.5 25.9 Page 19 1 0 4 T a b l e I N 9 : I N D O N E S I A - H o u s i n g c h a r a c t e r i s t i c s b y t y p e o f s e t t l e m e n t a n d p e r c a p i t a e x p e n d i t u r e d e c i l e s R u r a l U r b a n E x p e n d i t u r e d e c i l e s E x p e n d i t u r e d e c i l e s 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l S t a t u s o f h o u s e P r i v a t e 9 4 . 5 9 3 . 9 9 3 . 7 9 3 . 2 9 2 . 1 9 1 . 5 9 1 . 2 9 0 . 2 8 8 . 5 8 2 . 1 9 0 . 7 7 3 7 2 . 7 7 1 . 2 7 1 . 9 7 0 . 1 7 0 6 8 . 4 6 6 . 7 6 2 . 8 5 6 . 5 6 8 . 1 L e a s e 0 . 3 0 . 5 0 . 4 0 . 6 0 . 5 0 . 7 0 . 8 1 1 . 3 2 . 4 0 . 9 8 . 8 8 . 9 1 0 9 . 3 9 . 7 1 0 . 1 1 0 . 9 1 1 . 3 1 3 1 4 . 8 1 0 . 8 R e n t 0 . 5 0 . 7 0 . 6 1 1 . 2 1 . 2 1 . 3 1 . 5 2 4 . 1 1 . 5 8 . 5 8 . 3 8 . 3 8 . 3 8 . 6 8 . 5 9 . 1 1 0 . 2 1 2 . 6 1 5 . 5 9 . 9 O f f i c i a l 0 . 9 1 . 2 1 . 7 1 . 6 2 . 2 2 . 3 2 . 4 3 . 1 3 . 3 6 . 1 2 . 6 1 . 4 2 . 1 2 . 8 3 . 5 4 4 . 3 4 . 4 5 . 1 5 . 8 7 . 2 4 . 2 F r e e 2 . 8 2 . 7 2 . 4 2 . 6 2 . 9 3 3 . 1 2 . 9 3 . 7 3 . 8 3 6 . 4 6 . 4 6 5 . 3 5 . 9 5 . 3 5 . 7 5 . 6 4 . 5 4 . 6 5 . 5 O t h e r 0 . 9 1 . 1 1 . 2 1 . 1 1 1 . 2 1 . 2 1 . 3 1 . 2 1 . 5 1 . 2 1 . 9 1 . 7 1 . 7 1 . 6 1 . 6 1 . 6 1 . 5 1 . 1 1 . 2 1 . 4 1 . 5 T y p e o f r o o f C o n c r e t e 0 . 6 0 . 8 0 . 8 0 . 9 0 . 9 0 . 9 1 1 . 2 1 . 2 1 . 5 1 1 . 7 1 . 7 1 . 9 2 . 2 2 . 2 2 . 8 2 . 6 2 . 9 3 . 7 4 . 3 2 . 6 C o r r u g a t e d t i l e 4 7 . 9 4 7 . 2 4 6 . 5 4 6 . 5 4 6 . 3 4 5 . 5 4 5 . 2 4 5 . 9 4 5 . 7 4 6 . 2 4 6 . 2 5 0 . 7 5 1 . 1 5 1 . 6 5 1 5 2 . 9 5 1 . 8 5 3 . 3 5 4 . 3 5 5 . 4 5 7 . 9 5 3 . 1 S h i n g l e r o o f 2 . 7 3 . 7 3 . 9 3 . 3 3 . 7 3 . 4 3 . 7 3 . 8 3 . 8 3 . 9 3 . 6 2 . 5 2 . 9 3 2 . 7 2 . 5 3 2 . 5 2 . 5 2 . 9 2 . 7 2 . 7 I r o n s h e e t i n g 3 0 . 8 3 2 . 8 3 4 . 5 3 5 . 3 3 5 . 9 3 6 . 9 3 8 . 2 3 7 . 6 3 9 . 7 4 0 . 4 3 6 . 5 3 7 . 4 3 7 . 6 3 7 . 6 3 7 . 5 3 7 . 2 3 6 . 6 3 5 . 7 3 4 . 3 3 1 . 9 2 9 . 8 3 5 . 4 A s b e s t o s 0 . 3 0 . 4 0 . 4 0 . 6 0 . 5 0 . 7 0 . 7 0 . 8 1 1 . 6 0 . 7 2 . 1 3 3 . 2 3 . 9 3 . 4 4 . 3 4 . 2 5 5 . 1 4 . 7 3 . 9 S u g a r p u l p f i b e r 0 . 5 0 . 4 0 . 3 0 . 4 0 . 4 0 . 2 0 . 2 0 . 4 0 . 2 0 . 2 0 . 3 0 . 4 0 . 3 0 . 2 0 . 2 0 . 1 0 . 1 0 . 1 0 0 . 1 0 0 . 2 L e a v e s 1 6 . 4 1 4 . 2 1 2 . 9 1 2 . 4 1 1 . 7 1 1 . 8 1 0 . 4 9 . 6 7 . 8 5 . 7 1 1 5 . 1 3 . 3 2 . 3 2 . 3 1 . 5 1 . 3 1 . 2 0 . 8 0 . 7 0 . 4 1 . 8 O t h e r 0 . 8 0 . 6 0 . 8 0 . 6 0 . 6 0 . 6 0 . 6 0 . 6 0 . 5 0 . 5 0 . 6 0 . 2 0 . 1 0 . 2 0 . 2 0 . 2 0 . 1 0 . 3 0 . 2 0 . 3 0 . 2 0 . 2 T y p e o f w a l l s B r i c k 2 7 . 9 3 1 . 5 3 4 . 8 3 6 . 9 4 0 . 2 4 0 . 2 4 2 . 8 4 5 4 9 . 1 5 6 . 8 4 1 . 4 5 3 . 3 6 0 . 3 6 4 6 7 . 6 7 0 . 9 7 4 7 5 . 2 7 9 . 4 8 1 . 9 8 6 . 7 7 2 W o o d 4 5 . 3 4 4 4 3 . 4 4 1 . 6 3 9 . 3 4 0 3 8 . 2 3 7 3 5 . 6 3 0 . 9 3 9 . 1 3 4 . 9 3 0 . 3 2 7 2 5 . 4 2 3 2 0 . 9 2 0 1 6 . 8 1 5 . 2 1 0 . 9 2 2 B a m b o o 2 2 1 9 . 8 1 7 . 6 1 6 . 9 1 6 1 5 . 1 1 3 . 9 1 3 . 5 1 0 . 9 7 . 9 1 4 . 9 9 . 3 7 6 . 3 5 3 . 9 3 2 . 7 1 . 8 1 . 4 0 . 7 3 . 9 O t h e r 4 . 8 4 . 7 4 . 2 4 . 6 4 . 6 4 . 8 5 . 2 4 . 5 4 . 4 4 . 4 4 . 6 2 . 6 2 . 5 2 . 7 2 2 . 2 2 . 1 2 . 2 1 . 9 1 . 5 1 . 7 2 . 1 T y p e o f f l o o r M a r b l e 1 . 8 2 . 5 3 3 . 6 4 . 4 5 5 . 8 6 . 7 8 . 8 1 4 . 1 6 7 . 1 1 0 . 4 1 2 . 1 1 3 . 7 1 6 . 7 1 9 . 7 2 1 . 8 2 6 3 2 . 1 4 0 . 5 2 0 . 6 F l o o r t i l e 5 . 7 6 . 9 7 . 1 8 . 7 9 9 . 5 1 0 . 2 1 0 . 9 1 2 . 7 1 5 . 9 1 0 1 6 . 2 1 7 . 6 2 0 . 4 2 1 . 1 2 1 . 3 2 2 . 8 2 3 . 6 2 5 2 5 . 5 2 5 . 9 2 2 . 1 C e m e n t p l a s t e r 2 8 3 2 . 2 3 5 . 1 3 4 . 7 3 7 . 5 3 7 . 7 3 8 . 8 3 9 3 9 . 5 3 8 . 7 3 6 . 5 5 2 . 9 5 1 5 1 . 1 4 9 . 7 4 7 . 8 4 5 . 3 4 2 . 8 3 9 . 6 3 4 . 5 2 7 . 6 4 3 . 8 W o o d 2 7 . 6 2 6 . 4 2 6 . 4 2 5 . 9 2 4 . 4 2 4 . 6 2 3 . 6 2 2 . 6 2 2 . 2 1 9 . 4 2 4 . 1 1 5 1 4 . 6 1 2 . 6 1 1 . 7 1 1 . 1 9 . 8 1 0 8 . 2 7 . 1 5 . 5 1 0 . 4 B a m b o o 2 . 7 2 . 1 2 1 . 8 1 . 7 1 . 7 1 . 4 1 . 8 1 . 2 0 . 8 1 . 7 0 . 7 0 . 5 0 . 2 0 . 3 0 . 2 0 . 2 0 . 1 0 . 1 0 . 1 0 . 1 0 . 2 E a r t h 3 2 . 6 2 8 . 9 2 5 . 7 2 4 . 7 2 2 . 5 2 0 . 7 1 9 . 7 1 8 . 4 1 5 . 2 1 0 . 8 2 1 . 2 7 . 9 5 . 8 3 . 5 3 . 4 2 . 9 2 . 1 1 . 6 1 0 . 6 0 . 4 2 . 8 O t h e r 1 . 7 0 . 9 0 . 7 0 . 7 0 . 6 0 . 6 0 . 6 0 . 6 0 . 4 0 . 3 0 . 7 0 . 2 0 . 1 0 . 1 0 0 . 1 0 . 1 0 . 1 0 . 1 0 . 1 0 . 1 0 . 1 Page 20 1 0 5 T a b l e I N 9 : I N D O N E S I A - H o u s i n g c h a r a c t e r i s t i c s b y t y p e o f s e t t l e m e n t a n d p e r c a p i t a e x p e n d i t u r e d e c i l e s R u r a l U r b a n E x p e n d i t u r e d e c i l e s E x p e n d i t u r e d e c i l e s 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l F l o o r a r e a 9 . 9 1 0 . 9 1 1 . 3 1 2 1 2 . 7 1 3 . 2 1 3 . 1 1 4 . 6 1 6 . 5 2 1 . 6 1 3 . 9 8 . 7 1 1 . 1 1 2 . 5 1 3 . 4 1 6 . 2 1 8 . 8 2 0 . 6 2 4 . 6 2 9 . 6 3 7 . 2 1 9 . 8 < 1 0 m 2 0 . 3 0 . 2 0 . 2 0 . 3 0 . 3 0 . 2 0 . 3 0 . 2 0 . 5 0 . 8 0 . 3 1 . 6 1 . 2 1 . 4 1 . 4 1 . 8 2 2 . 9 3 . 6 5 . 4 6 . 8 2 . 9 1 0 - 2 0 m 2 4 . 7 4 3 . 2 2 . 8 2 . 9 2 . 6 2 . 8 2 . 7 2 . 8 3 . 9 3 . 2 8 . 1 6 . 9 6 . 2 5 . 9 6 . 4 6 . 3 6 . 5 6 . 9 8 . 2 1 1 . 1 7 . 3 2 0 - 4 0 m 2 2 8 . 3 2 5 . 6 2 5 . 3 2 3 . 3 2 2 . 8 2 2 . 4 2 1 . 2 2 0 . 2 1 9 . 3 1 7 . 4 2 2 . 2 3 0 . 1 2 7 . 1 2 5 . 2 2 3 . 1 2 1 . 4 1 9 . 6 1 7 . 9 1 6 . 1 1 3 1 1 . 4 2 0 . 1 4 0 - 6 0 m 2 3 2 3 2 . 6 3 2 . 8 3 3 . 9 3 2 . 2 3 3 . 3 3 2 . 8 3 1 . 2 3 0 . 5 2 5 . 3 3 1 . 5 2 8 2 9 . 1 2 8 . 1 2 8 . 3 2 7 . 3 2 5 . 5 2 4 . 6 2 0 . 5 1 8 . 6 1 2 . 3 2 4 6 0 + m 2 2 4 . 7 2 6 . 6 2 7 . 2 2 7 . 7 2 9 . 1 2 8 . 3 2 9 . 6 3 1 . 1 3 0 . 4 3 1 2 8 . 8 2 3 . 4 2 4 . 6 2 6 . 5 2 7 . 8 2 7 2 7 . 8 2 7 . 5 2 8 . 2 2 5 . 2 2 1 . 1 2 5 . 9 Page 21 1 0 6 T a b l e I N 1 0 : I N D O N E S I A - S o u r c e o f d r i n k i n g w a t e r b y t y p e o f s e t t l e m e n t a n d p e r c a p i t a e x p e n d i t u r e d e c i l e s R u r a l U r b a n E x p e n d i t u r e d e c i l e s E x p e n d i t u r e d e c i l e s 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l S o u r c e o f d r i n k i n g w a t e r O t h e r s 0 . 2 0 . 4 0 . 3 0 . 3 0 . 5 0 . 4 0 . 5 0 . 5 0 . 5 0 . 4 0 . 4 0 . 4 0 . 4 0 . 3 0 . 2 0 . 2 0 . 2 0 . 4 0 . 3 0 . 4 0 . 4 0 . 3 B o t t l e d 0 . 2 0 . 1 0 . 2 0 . 2 0 . 3 0 . 2 0 . 4 0 . 4 0 . 4 1 0 . 4 1 1 . 2 1 . 3 1 . 4 1 . 3 1 . 8 2 . 2 2 . 4 2 . 8 5 . 2 2 . 1 T a p 5 . 5 7 . 3 7 . 6 8 . 6 1 0 . 1 1 0 . 6 1 1 . 6 1 2 . 2 1 3 . 8 1 9 . 2 1 1 . 1 3 5 . 7 3 8 . 4 4 0 . 4 4 2 4 3 . 5 4 6 . 3 4 8 . 1 5 0 . 4 5 5 . 4 6 0 . 9 4 6 . 6 P u m p 3 . 9 5 . 1 6 . 1 6 . 4 7 . 5 8 . 2 8 . 7 8 . 7 9 . 8 1 2 7 . 9 1 3 . 4 1 4 . 7 1 5 . 2 1 7 . 2 1 7 . 6 1 8 . 6 1 8 . 1 1 8 . 5 1 8 . 2 1 6 . 9 1 6 . 9 P r o t e c t e d w e l l 2 9 . 1 3 0 . 4 3 1 . 9 3 3 . 4 3 3 . 3 3 3 . 1 3 4 . 6 3 5 . 6 3 5 3 3 . 5 3 3 . 2 3 1 . 2 3 0 . 8 2 9 . 8 2 8 2 7 . 4 2 4 . 7 2 3 . 2 2 1 . 8 1 8 . 2 1 2 . 8 2 4 . 4 U n p r o t e c t e d w e l l 2 1 . 3 2 1 . 2 2 0 . 3 1 9 . 8 1 7 . 9 1 8 . 6 1 6 . 6 1 6 . 2 1 4 . 6 1 2 . 6 1 7 . 6 1 0 . 3 8 7 . 3 6 . 3 5 . 4 4 . 7 4 . 4 4 . 1 2 . 7 2 5 . 3 P r o t e c t e d s p r i n g 1 5 . 2 1 4 . 6 1 3 . 9 1 2 . 4 1 2 . 7 1 2 1 1 . 5 1 1 . 5 1 1 . 7 9 . 8 1 2 . 4 3 . 3 2 . 4 2 . 2 1 . 8 1 . 3 1 . 4 1 . 2 0 . 8 0 . 8 0 . 7 1 . 5 U n p r o t e c t e d s p r i n g 1 0 . 7 8 . 9 8 7 . 9 7 . 2 6 . 8 6 . 5 6 . 1 5 . 6 4 . 5 7 0 . 6 0 . 6 0 . 4 0 . 4 0 . 3 0 . 2 0 . 3 0 . 1 0 . 1 0 . 1 0 . 3 R i v e r 7 . 3 7 . 4 7 . 1 6 . 2 5 . 6 5 . 3 5 . 2 4 4 . 1 3 . 1 5 . 4 1 . 1 1 . 1 0 . 8 0 . 9 0 . 8 0 . 4 0 . 4 0 . 3 0 . 4 0 . 2 0 . 6 R a i n w a t e r 6 . 5 4 . 5 4 . 5 4 . 6 4 . 9 4 . 7 4 . 4 4 . 7 4 . 5 3 . 9 4 . 7 2 . 9 2 . 5 2 . 2 1 . 9 2 . 1 1 . 6 1 . 7 1 . 4 1 . 1 0 . 8 1 . 8 H o w t o o b t a i n w a t e r P u r c h a s e 8 . 7 1 0 . 2 1 0 . 4 1 1 . 6 1 2 . 9 1 4 . 3 1 4 . 8 1 5 . 7 1 7 . 7 2 3 . 7 1 4 . 5 4 1 . 5 4 3 . 2 4 5 4 6 . 1 4 7 . 7 5 1 5 3 . 7 5 5 . 7 6 1 . 1 6 8 . 4 5 1 . 9 D o n o t p u r c h a s e 9 1 . 3 8 9 . 8 8 9 . 6 8 8 . 4 8 7 . 1 8 5 . 7 8 5 . 2 8 4 . 3 8 2 . 3 7 6 . 3 8 5 . 5 5 8 . 5 5 6 . 8 5 5 5 3 . 9 5 2 . 3 4 9 4 6 . 3 4 4 . 3 3 8 . 9 3 1 . 6 4 8 . 1 D r i n k i n g w a t e r f a c i l i t y P r i v a t e 3 7 . 3 4 0 . 3 4 2 . 6 4 4 . 9 4 6 . 9 4 7 . 9 4 9 . 6 5 2 . 4 5 3 . 1 5 9 . 5 4 8 . 1 5 4 . 8 6 0 . 1 6 2 6 5 . 8 6 5 . 6 6 8 . 4 6 8 . 2 7 0 . 3 6 9 . 8 6 7 . 7 6 5 . 6 S h a r e d 2 7 . 9 2 8 . 3 2 8 . 1 2 7 . 2 2 6 . 4 2 6 . 4 2 5 . 5 2 4 . 5 2 4 . 4 2 1 . 9 2 5 . 9 2 5 . 6 2 3 . 7 2 3 . 4 2 0 . 8 2 0 . 7 1 8 . 9 1 9 . 2 1 8 . 2 1 9 . 4 2 1 . 7 2 1 P u b l i c 2 6 . 5 2 4 . 5 2 2 . 7 2 1 . 1 2 0 . 3 1 9 . 5 1 8 . 8 1 7 . 2 1 6 . 7 1 3 . 5 1 9 . 7 1 1 . 5 8 . 4 7 . 3 6 . 7 6 . 4 6 . 1 5 . 5 4 . 7 4 . 4 2 . 6 6 . 2 N o n e 8 . 3 6 . 8 6 . 5 6 . 7 6 . 5 6 . 2 6 . 2 5 . 9 5 . 8 5 . 1 6 . 3 8 7 . 7 7 . 3 6 . 7 7 . 3 6 . 6 7 6 . 7 6 . 3 8 7 . 2 Page 22 1 0 7 T a b l e I N 1 1 : I N D O N E S I A - D r i n k i n g w a t e r b y s i z e o f l o c a l i t y a n d p o v e r t y s t a t u s T y p e o f s e t t l e m e n t R u r a l U r b a n < 2 5 0 t h U r b a n 2 5 0 - 5 0 0 K U r b a n 5 0 0 - 1 M U r b a n 1 M - 2 M U r b a n 2 M + N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l S o u r c e o f d r i n k i n g w a t e r O t h e r s 0 . 5 0 . 3 0 . 4 0 . 2 0 . 2 0 . 2 0 . 3 0 . 3 0 . 3 0 . 1 . 0 . 1 0 . 7 0 . 8 0 . 7 0 . 5 . 0 . 5 B o t t l e d 0 . 5 0 . 2 0 . 4 1 . 9 1 . 2 1 . 8 2 0 . 5 1 . 8 2 . 6 0 . 8 2 . 4 2 . 9 0 . 9 2 . 6 3 . 8 1 . 8 3 . 7 T a p 1 3 . 1 7 1 1 . 1 5 2 . 2 3 7 . 3 4 9 . 5 3 7 . 1 1 8 . 6 3 4 . 3 5 5 . 5 3 2 . 6 5 2 . 3 5 6 4 1 . 5 5 3 . 9 4 6 . 7 5 2 . 3 4 6 . 9 P u m p 9 . 3 5 . 2 7 . 9 1 3 . 3 1 3 1 3 . 3 1 3 . 3 1 3 . 7 1 3 . 4 1 6 . 1 1 7 . 4 1 6 . 3 1 8 . 9 1 0 . 5 1 7 . 7 3 9 . 5 1 9 . 2 3 8 . 5 P r o t e c t e d w e l l 3 4 . 2 3 1 . 1 3 3 . 2 2 2 . 4 3 2 . 5 2 4 . 2 3 3 . 9 4 8 . 5 3 6 . 2 2 1 . 1 4 0 . 4 2 3 . 8 1 6 . 8 2 9 . 1 1 8 . 5 7 . 7 1 9 . 8 8 . 3 U n p r o t e c t e d w e l l 1 6 . 7 1 9 . 3 1 7 . 6 5 . 1 9 . 1 5 . 9 6 . 7 1 2 . 6 7 . 6 3 . 5 6 . 3 3 . 9 2 . 9 1 0 3 . 9 1 . 5 5 . 4 1 . 7 P r o t e c t e d s p r i n g 1 0 . 4 1 6 . 4 1 2 . 4 1 . 9 3 . 9 2 . 2 0 . 8 1 . 9 1 0 . 6 1 . 1 0 . 6 1 . 3 6 . 1 2 0 . 2 1 . 5 0 . 3 U n p r o t e c t e d s p r i n g 5 . 3 1 0 . 6 7 0 . 4 0 . 7 0 . 5 0 . 1 0 . 5 0 . 2 0 . 1 0 . 3 0 . 2 0 . 2 0 . 4 0 . 2 0 . 0 R i v e r 5 . 1 5 . 9 5 . 4 1 1 1 0 . 5 0 . 6 0 . 5 0 . 3 1 . 1 0 . 4 0 . 1 0 . 5 0 . 2 . . . R a i n w a t e r 5 4 4 . 7 1 . 5 1 . 1 1 . 5 5 . 3 2 . 8 5 0 . 1 . 0 . 1 0 . 2 0 . 3 0 . 2 . . . H o w t o o b t a i n w a t e r P u r c h a s e 1 6 . 7 1 0 1 4 . 5 5 6 . 5 4 1 . 8 5 3 . 9 4 2 . 4 2 2 . 2 3 9 . 3 6 1 . 2 3 6 . 4 5 7 . 8 6 2 . 7 5 0 6 0 . 9 5 3 . 5 6 3 . 1 5 4 D o n o t p u r c h a s e 8 3 . 3 9 0 8 5 . 5 4 3 . 5 5 8 . 2 4 6 . 1 5 7 . 6 7 7 . 8 6 0 . 7 3 8 . 8 6 3 . 6 4 2 . 2 3 7 . 3 5 0 3 9 . 1 4 6 . 5 3 6 . 9 4 6 D r i n k i n g w a t e r f a c i l i t y P r i v a t e 5 3 . 1 3 8 . 1 4 8 . 1 6 9 . 5 5 7 . 9 6 7 . 4 6 2 . 7 6 1 6 2 . 4 6 5 . 5 5 8 . 1 6 4 . 5 6 7 . 3 5 4 . 4 6 5 . 5 6 6 . 6 5 2 . 6 6 5 . 9 S h a r e d 2 3 . 9 2 9 . 8 2 5 . 9 2 1 . 3 2 6 . 5 2 2 . 2 2 2 . 8 2 5 . 2 2 3 . 1 1 9 . 4 2 3 . 7 2 0 1 7 . 8 2 6 . 1 1 8 . 9 1 5 . 4 2 0 . 4 1 5 . 6 P u b l i c 1 6 . 4 2 6 . 2 1 9 . 7 4 . 6 1 1 . 3 5 . 8 5 8 . 6 5 . 5 5 . 7 1 2 . 2 6 . 6 4 . 4 1 0 . 9 5 . 3 9 . 2 2 0 . 7 9 . 8 N o n e 6 . 6 5 . 9 6 . 3 4 . 6 4 . 3 4 . 6 9 . 6 5 . 1 8 . 9 9 . 4 6 9 1 0 . 5 8 . 5 1 0 . 3 8 . 8 6 . 3 8 . 7 Page 23 1 0 8 T a b l e I N 1 2 : I N D O N E S I A - S a n i t a t i o n b y t y p e o f s e t t l e m e n t a n d p e r c a p i t a e x p e n d i t u r e d e c i l e s R u r a l U r b a n E x p e n d i t u r e d e c i l e s E x p e n d i t u r e d e c i l e s 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T o i l e t f a c i l i t y P r i v a t e 6 5 . 3 6 6 . 5 6 8 . 1 6 8 . 6 7 0 . 5 7 1 . 2 7 2 . 4 7 3 . 5 7 5 . 2 7 9 . 3 7 1 . 5 6 7 . 6 7 1 . 6 7 3 . 8 7 7 . 6 7 8 . 4 8 0 . 2 8 0 . 5 8 1 . 3 8 0 . 3 7 7 . 5 7 7 . 1 S h a r e d 1 8 . 1 1 8 . 2 1 7 . 4 1 7 . 7 1 7 1 6 . 8 1 7 1 6 . 7 1 6 1 4 . 6 1 6 . 8 1 9 . 5 1 8 . 7 1 8 . 4 1 6 1 6 . 2 1 5 . 1 1 5 1 5 . 2 1 7 2 1 1 7 . 2 P u b l i c 1 6 . 6 1 5 . 4 1 4 . 5 1 3 . 7 1 2 . 5 1 2 1 0 . 5 9 . 8 8 . 7 6 . 2 1 1 . 7 1 2 . 9 9 . 7 7 . 8 6 . 5 5 . 4 4 . 7 4 . 5 3 . 4 2 . 7 1 . 5 5 . 7 T y p e o f t o i l e t S q u a t t e r 1 9 . 6 2 5 . 1 2 9 3 1 . 4 3 4 . 9 3 8 4 1 . 3 4 4 . 3 4 9 . 6 6 0 . 7 3 8 . 7 6 0 . 4 6 7 7 1 . 6 7 5 . 2 7 7 . 3 8 0 . 7 8 2 . 4 8 6 8 8 . 2 9 1 . 4 7 8 . 7 T h r o n e 9 . 4 1 0 1 0 1 0 . 6 1 0 . 7 1 0 . 3 1 0 . 9 1 1 . 4 1 1 . 2 1 0 . 8 1 0 . 6 1 7 . 9 1 6 . 3 1 4 . 7 1 3 . 3 1 2 . 6 1 1 . 6 1 0 . 3 9 8 6 . 4 1 1 . 8 D r y l a t r i n e 5 0 . 4 4 7 . 5 4 3 . 9 4 2 . 4 3 9 . 6 3 7 . 7 3 5 3 2 . 9 2 8 . 7 2 0 . 9 3 7 1 5 . 9 1 2 . 6 1 0 . 5 8 . 9 7 . 7 5 . 9 5 . 7 3 . 6 3 1 . 9 7 . 3 O t h e r s 2 0 . 7 1 7 . 4 1 7 . 1 1 5 . 6 1 4 . 8 1 4 . 1 1 2 . 8 1 1 . 4 1 0 . 4 7 . 7 1 3 . 8 5 . 8 4 . 1 3 . 1 2 . 6 2 . 4 1 . 7 1 . 7 1 . 3 0 . 8 0 . 3 2 . 3 F i n a l d i s p o s a l S e p t i c t a n k 1 5 . 2 1 9 . 8 2 3 . 9 2 5 . 8 2 9 . 2 3 1 . 7 3 5 3 7 . 4 4 1 . 5 5 2 . 1 3 2 . 3 5 7 . 5 6 1 . 5 6 5 . 9 6 9 . 1 7 1 . 5 7 4 . 1 7 4 . 9 7 9 . 2 8 1 . 9 8 5 7 2 . 6 P o n d / f i e l d r i c e 7 . 6 7 . 7 6 . 9 6 . 6 5 . 8 5 . 6 4 . 6 4 . 6 4 . 4 3 . 6 5 . 6 3 . 4 2 . 6 2 1 . 7 1 . 4 1 . 3 1 . 2 1 . 1 0 . 9 0 . 4 1 . 5 R i v e r / l a k e / O c e a n 1 4 . 9 1 4 . 2 1 3 1 2 . 5 1 2 . 4 1 1 . 7 1 1 . 5 1 0 . 7 9 . 6 8 1 1 . 6 1 3 . 5 1 3 . 4 1 1 . 9 9 . 4 9 . 2 8 . 2 8 . 7 6 . 5 6 . 4 5 9 H o l e 5 6 . 4 5 2 . 9 5 0 . 7 4 9 . 5 4 6 . 6 4 5 . 3 4 3 . 1 4 2 . 3 3 9 . 7 3 2 . 8 4 5 . 2 2 3 . 1 2 0 1 7 . 9 1 7 . 6 1 5 . 7 1 4 . 4 1 3 . 1 1 1 . 4 9 . 4 7 . 9 1 4 . 7 S h o r e / o p e n f i e l d 3 2 . 4 2 . 6 2 . 7 2 . 9 2 . 8 2 . 8 2 . 6 2 . 2 1 . 6 2 . 5 0 . 7 0 . 7 0 . 5 0 . 6 0 . 4 0 . 2 0 . 3 0 . 2 0 . 1 0 . 1 0 . 4 O t h e r s 2 . 8 3 2 . 9 2 . 8 3 . 1 2 . 9 3 2 . 5 2 . 6 1 . 9 2 . 7 1 . 7 1 . 9 1 . 9 1 . 7 1 . 8 1 . 9 1 . 8 1 . 6 1 . 3 1 . 5 1 . 7 Page 24 1 0 9 T a b l e I N 1 3 : I N D O N E S I A - S a n i t a t i o n b y s i z e o f l o c a l i t y a n d p o v e r t y s t a t u s T y p e o f s e t t l e m e n t R u r a l U r b a n < 2 5 0 t h U r b a n 2 5 0 - 5 0 0 K U r b a n 5 0 0 - 1 M U r b a n 1 M - 2 M U r b a n 2 M + N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l N o n - p o o r P o o r T o t a l T o i l e t f a c i l i t y P r i v a t e 7 2 . 6 6 9 . 4 7 1 . 5 8 0 . 2 7 2 . 5 7 8 . 8 7 7 . 9 6 8 7 6 . 4 7 4 . 7 6 3 . 4 7 3 . 2 7 8 . 8 6 8 . 4 7 7 . 4 7 6 6 4 . 6 7 5 . 4 S h a r e d 1 6 . 5 1 7 . 6 1 6 . 8 1 5 . 4 1 7 . 4 1 5 . 7 1 8 . 8 2 1 . 4 1 9 . 2 1 7 . 2 1 7 . 8 1 7 . 3 1 6 . 7 2 0 . 8 1 7 . 3 1 8 . 1 2 4 1 8 . 4 P u b l i c 1 1 1 3 1 1 . 7 4 . 4 1 0 . 1 5 . 4 3 . 3 1 0 . 6 4 . 4 8 . 1 1 8 . 9 9 . 6 4 . 4 1 0 . 8 5 . 3 6 1 1 . 4 6 . 3 T y p e o f t o i l e t S q u a t t e r 4 6 . 1 2 3 . 7 3 8 . 7 7 9 . 9 5 9 . 7 7 6 . 2 8 0 . 2 5 8 . 3 7 6 . 9 8 1 . 7 7 2 . 5 8 0 . 5 8 6 . 3 6 6 8 3 . 4 8 5 . 4 7 1 . 8 8 4 . 7 T h r o n e 1 0 . 5 1 0 . 6 1 0 . 6 1 0 . 5 1 7 . 3 1 1 . 7 1 1 . 2 1 5 . 8 1 1 . 9 1 1 . 5 1 5 . 5 1 2 9 . 6 1 9 . 4 1 1 1 2 2 3 . 7 1 2 . 6 D r y l a t r i n e 3 1 . 3 4 8 . 3 3 7 7 . 6 1 6 . 9 9 . 2 6 . 8 1 8 . 3 8 . 6 4 . 7 8 . 2 5 . 2 3 . 1 1 2 . 4 4 . 4 1 . 9 3 . 9 2 O t h e r s 1 2 1 7 . 4 1 3 . 8 2 . 1 6 . 1 2 . 8 1 . 8 7 . 6 2 . 6 2 . 1 3 . 8 2 . 3 1 2 . 2 1 . 1 0 . 7 0 . 6 0 . 7 F i n a l d i s p o s a l S e p t i c t a n k 3 8 . 8 1 9 . 3 3 2 . 3 7 1 . 4 5 5 . 4 6 8 . 5 7 7 . 5 5 5 7 4 7 7 . 2 6 7 . 6 7 5 . 9 8 3 . 2 6 5 . 7 8 0 . 7 7 4 . 7 6 1 . 6 7 4 P o n d / f i e l d r i c e 5 . 7 5 . 4 5 . 6 1 . 6 2 . 5 1 . 7 1 . 1 4 1 . 6 1 . 1 2 . 1 1 . 2 1 . 3 2 . 7 1 . 5 1 1 . 5 1 R i v e r / l a k e / O c e a n 1 1 . 9 1 1 1 1 . 6 8 . 7 1 2 . 7 9 . 4 5 . 8 1 2 . 6 6 . 8 1 1 . 3 1 6 . 2 1 2 5 . 4 1 1 . 7 6 . 3 1 1 . 6 2 8 . 8 1 2 . 5 H o l e 3 9 . 4 5 6 . 9 4 5 . 2 1 6 . 4 2 6 . 6 1 8 . 2 1 3 . 6 2 5 . 7 1 5 . 4 9 . 2 1 2 . 3 9 . 7 8 . 5 1 7 . 8 9 . 9 1 0 4 . 2 9 . 7 S h o r e / o p e n f i e l d 2 . 1 3 . 5 2 . 5 0 . 5 1 . 1 0 . 6 0 . 3 0 . 5 0 . 3 0 . 1 0 . 3 0 . 1 0 . 2 0 . 5 0 . 2 0 . 0 O t h e r s 2 . 1 3 . 9 2 . 7 1 . 5 1 . 7 1 . 5 1 . 8 2 . 2 1 . 9 1 . 2 1 . 4 1 . 2 1 . 4 1 . 6 1 . 4 2 . 7 3 . 9 2 . 7 Page 25 1 1 0 T a b l e P H 1 : P H I L I P P I N E S – H o u s e h o l d C h a r a c t e r i s t i c s B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l G e n d e r o f t h e h e a d F e m a l e 8 . 8 8 . 2 9 . 2 1 0 . 5 9 . 7 1 2 . 6 1 2 . 7 1 4 . 6 1 7 1 9 . 3 1 2 . 2 1 1 . 3 1 2 . 4 1 3 . 6 1 6 . 4 1 6 . 7 1 8 . 2 1 9 . 6 2 1 . 5 2 3 . 8 2 6 . 7 1 8 . 1 M a l e 9 1 . 2 9 1 . 8 9 0 . 8 8 9 . 5 9 0 . 3 8 7 . 4 8 7 . 3 8 5 . 4 8 3 8 0 . 7 8 7 . 8 8 8 . 7 8 7 . 6 8 6 . 4 8 3 . 6 8 3 . 3 8 1 . 8 8 0 . 4 7 8 . 5 7 6 . 2 7 3 . 3 8 1 . 9 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 A g e o f t h e h e a d < 1 5 y e a r s o l d . . 0 . 1 . . . . 0 . 1 . . 0 . . . . 0 . . . 0 . 0 1 5 - 2 5 y e a r s o l d 1 . 8 3 . 7 4 . 1 3 . 7 2 . 7 2 . 9 3 . 7 2 . 6 2 . 3 2 . 3 3 2 . 5 2 . 9 4 . 3 2 . 2 3 . 3 3 . 4 2 . 7 3 . 1 3 . 4 2 . 9 3 . 1 2 5 - 3 5 y e a r s o l d 2 6 . 9 2 7 . 8 2 4 . 2 2 3 . 3 2 3 2 0 . 5 1 7 . 3 1 5 . 9 1 4 . 9 1 3 . 3 2 0 . 7 2 3 . 1 2 5 . 7 2 4 2 0 . 5 2 2 . 2 2 0 . 4 1 7 . 8 1 8 1 7 . 4 1 4 . 1 2 0 . 3 3 5 - 4 5 y e a r s o l d 3 6 . 7 3 3 . 2 3 2 . 2 2 5 . 6 2 5 . 3 2 4 . 8 2 5 . 2 1 9 . 8 2 1 . 8 2 3 . 8 2 6 . 9 3 4 . 2 3 0 . 8 2 9 . 1 2 9 2 5 . 9 2 6 . 8 2 6 . 2 2 6 . 6 2 5 . 9 2 6 . 4 2 8 . 1 4 5 - 5 5 y e a r s o l d 1 8 . 3 1 8 . 4 1 8 . 7 2 2 2 1 . 3 2 1 2 0 . 1 2 4 . 2 2 2 2 3 . 6 2 1 1 9 . 9 2 0 . 2 1 9 . 1 2 2 . 2 2 2 . 3 2 1 . 6 2 4 . 2 2 2 . 1 2 3 . 3 2 4 . 3 2 1 . 9 5 5 - 6 5 y e a r s o l d 9 . 4 8 . 7 1 0 . 7 1 4 . 5 1 6 1 7 . 9 1 9 . 6 2 1 . 6 2 2 . 4 2 1 . 4 1 6 . 2 1 1 . 7 1 2 . 6 1 4 . 5 1 4 . 2 1 5 . 3 1 5 . 6 1 6 1 8 1 7 . 4 1 8 . 6 1 5 . 4 6 5 + 6 . 9 8 . 2 1 0 . 1 1 0 . 9 1 1 . 7 1 2 . 8 1 4 . 1 1 5 . 8 1 6 . 6 1 5 . 7 1 2 . 3 8 . 6 7 . 8 9 . 1 1 1 . 8 1 0 . 9 1 2 . 1 1 3 . 2 1 2 . 1 1 2 . 5 1 3 . 7 1 1 . 2 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 T y p e o f h o u s e h o l d S i n g l e F a m i l y 8 2 . 4 8 5 . 3 8 2 . 3 8 0 . 9 8 1 . 3 8 0 . 1 8 0 . 5 7 8 7 7 . 9 7 8 . 4 8 0 . 7 7 4 . 3 7 4 . 2 7 3 . 8 7 3 . 4 7 2 . 1 7 1 . 7 7 3 . 1 7 2 . 4 7 4 . 4 7 5 . 9 7 3 . 5 E x t e n d e d F a m i l y 1 7 . 5 1 4 . 6 1 7 . 4 1 9 1 8 . 4 1 9 . 4 1 9 2 1 . 9 2 1 . 4 2 0 . 6 1 8 . 9 2 5 . 2 2 5 . 4 2 5 . 5 2 6 . 5 2 7 . 4 2 7 . 8 2 6 . 2 2 7 2 4 . 3 2 3 2 5 . 8 T w o o r M o r e N o n - r e l a t i v e s 0 . 1 0 0 . 2 0 . 1 0 . 2 0 . 4 0 . 5 0 . 1 0 . 7 1 0 . 3 0 . 4 0 . 3 0 . 7 0 . 1 0 . 5 0 . 5 0 . 7 0 . 6 1 . 2 1 . 1 0 . 6 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 Page 26 1 1 1 T a b l e P H 2 : P H I L I P P I N E S – H o u s e h o l d C h a r a c t e r i s t i c s B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l G e n d e r o f t h e h e a d F e m a l e 7 . 1 6 . 8 7 . 6 8 . 7 7 . 9 1 0 . 4 1 0 . 5 1 1 . 9 1 3 . 9 1 5 . 2 1 0 0 6 . 1 6 . 9 7 . 5 9 . 1 9 . 2 1 0 . 1 1 0 . 8 1 2 1 3 . 3 1 4 . 9 1 0 0 M a l e 1 0 . 2 1 0 . 6 1 0 . 4 1 0 . 3 1 0 . 3 1 0 . 1 1 0 9 . 8 9 . 4 8 . 9 1 0 0 1 0 . 6 1 0 . 7 1 0 . 5 1 0 . 2 1 0 . 2 1 0 9 . 8 9 . 6 9 . 4 9 1 0 0 T o t a l 9 . 9 1 0 . 1 1 0 . 1 1 0 . 1 1 0 1 0 . 1 1 0 . 1 1 0 1 0 9 . 6 1 0 0 9 . 8 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 . 1 1 0 . 1 1 0 0 A g e o f t h e h e a d < 1 5 y e a r s o l d . . 5 2 . 7 . . . . 4 7 . 3 . . 1 0 0 . . . . 1 2 . 6 . . . 8 7 . 4 . 1 0 0 1 5 - 2 5 y e a r s o l d 5 . 9 1 2 . 6 1 3 . 7 1 2 . 5 9 1 0 1 2 . 5 8 . 8 7 . 8 7 . 3 1 0 0 8 9 . 4 1 3 . 9 7 . 3 1 0 . 7 1 1 . 1 8 . 9 1 0 . 1 1 1 . 1 9 . 5 1 0 0 2 5 - 3 5 y e a r s o l d 1 2 . 8 1 3 . 6 1 1 . 7 1 1 . 3 1 1 . 1 1 0 8 . 4 7 . 7 7 . 2 6 . 2 1 0 0 1 1 . 2 1 2 . 6 1 1 . 8 1 0 . 1 1 0 . 9 1 0 . 1 8 . 7 8 . 9 8 . 6 7 1 0 0 3 5 - 4 5 y e a r s o l d 1 3 . 5 1 2 . 5 1 2 . 1 9 . 6 9 . 5 9 . 3 9 . 5 7 . 4 8 . 1 8 . 5 1 0 0 1 1 . 9 1 1 1 0 . 4 1 0 . 4 9 . 2 9 . 6 9 . 3 9 . 5 9 . 3 9 . 5 1 0 0 4 5 - 5 5 y e a r s o l d 8 . 6 8 . 9 9 1 0 . 6 1 0 . 2 1 0 . 1 9 . 7 1 1 . 6 1 0 . 5 1 0 . 9 1 0 0 8 . 9 9 . 2 8 . 7 1 0 . 1 1 0 . 2 9 . 9 1 1 1 0 . 1 1 0 . 7 1 1 . 1 1 0 0 5 5 - 6 5 y e a r s o l d 5 . 7 5 . 4 6 . 7 9 9 . 9 1 1 . 1 1 2 . 2 1 3 . 4 1 3 . 8 1 2 . 7 1 0 0 7 . 4 8 . 1 9 . 4 9 . 3 9 . 9 1 0 . 2 1 0 . 4 1 1 . 7 1 1 . 4 1 2 . 1 1 0 0 6 5 + 5 . 6 6 . 8 8 . 3 9 9 . 6 1 0 . 6 1 1 . 6 1 2 . 9 1 3 . 5 1 2 . 3 1 0 0 7 . 5 7 8 . 1 1 0 . 6 9 . 8 1 0 . 9 1 1 . 7 1 0 . 8 1 1 . 3 1 2 . 3 1 0 0 T o t a l 9 . 9 1 0 . 1 1 0 . 1 1 0 . 1 1 0 1 0 . 1 1 0 . 1 1 0 1 0 9 . 6 1 0 0 9 . 8 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 . 1 1 0 . 1 1 0 0 T y p e o f h o u s e h o l d S i n g l e F a m i l y 1 0 . 1 1 0 . 7 1 0 . 3 1 0 . 1 1 0 . 1 1 0 1 0 9 . 7 9 . 6 9 . 4 1 0 0 9 . 9 1 0 . 1 1 0 1 0 9 . 8 9 . 8 9 . 9 9 . 9 1 0 . 2 1 0 . 4 1 0 0 E x t e n d e d F a m i l y 9 . 1 7 . 8 9 . 3 1 0 . 1 9 . 8 1 0 . 4 1 0 . 1 1 1 . 6 1 1 . 3 1 0 . 5 1 0 0 9 . 6 9 . 8 9 . 9 1 0 . 3 1 0 . 6 1 0 . 8 1 0 . 1 1 0 . 5 9 . 5 9 1 0 0 T w o o r M o r e N o n - r e l a t i v e s 3 . 2 1 6 . 4 1 . 8 7 . 4 1 3 . 7 1 5 . 3 2 . 2 2 0 . 3 2 8 . 9 1 0 0 6 . 8 5 . 3 1 1 . 2 1 . 8 8 . 3 7 . 5 1 0 . 9 9 . 8 2 0 1 8 . 4 1 0 0 T o t a l 9 . 9 1 0 . 1 1 0 . 1 1 0 . 1 1 0 1 0 . 1 1 0 . 1 1 0 1 0 9 . 6 1 0 0 9 . 8 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 . 1 1 0 . 1 1 0 0 Page 27 1 1 2 T a b l e P H 3 : P H I L I P P I N E S – E m p l o y m e n t S t a t u s , B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l E m p l o y m e n t s t a t u s o f t h e h e a d H a s j o b 9 3 . 5 9 4 . 3 9 3 . 9 9 2 . 2 9 2 . 2 8 9 . 8 9 0 . 3 8 7 . 5 8 6 . 8 8 3 . 7 9 0 . 5 8 5 . 9 8 7 . 1 8 5 . 8 8 1 . 8 8 2 . 2 7 9 . 4 7 8 . 6 7 6 . 7 7 7 . 3 7 7 . 3 8 1 . 2 D o e s n o t h a v e j o b 6 . 5 5 . 7 6 . 1 7 . 8 7 . 8 1 0 . 2 9 . 7 1 2 . 5 1 3 . 2 1 6 . 3 9 . 5 1 4 . 1 1 2 . 9 1 4 . 2 1 8 . 2 1 7 . 8 2 0 . 6 2 1 . 4 2 3 . 3 2 2 . 7 2 2 . 7 1 8 . 8 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l E m p l o y m e n t s t a t u s o f t h e h e a d H a s j o b 1 0 . 2 1 0 . 6 1 0 . 5 1 0 . 3 1 0 . 2 1 0 1 0 . 1 9 . 7 9 . 6 8 . 9 1 0 0 1 0 . 4 1 0 . 7 1 0 . 6 1 0 . 1 1 0 . 1 9 . 8 9 . 6 9 . 5 9 . 6 9 . 6 1 0 0 D o e s n o t h a v e j o b 6 . 7 6 . 1 6 . 5 8 . 2 8 . 2 1 0 . 8 1 0 . 2 1 3 . 1 1 3 . 8 1 6 . 4 1 0 0 7 . 4 6 . 9 7 . 5 9 . 7 9 . 5 1 1 1 1 . 4 1 2 . 4 1 2 . 2 1 2 . 1 1 0 0 T o t a l 9 . 9 1 0 . 1 1 0 . 1 1 0 . 1 1 0 1 0 . 1 1 0 . 1 1 0 1 0 9 . 6 1 0 0 9 . 8 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 . 1 1 0 . 1 1 0 0 Page 28 113 Table PH4: MANILA – Employment Status, By Decile 1 2 3 4 5 6 7 8 9 10 Total Employment status of the head Has job 81.2 86.9 84.1 80.3 81.3 76.1 75.8 72.2 75.3 75.4 78.8 Does not have job 18.8 13.1 15.9 19.7 18.7 23.9 24.2 27.8 24.7 24.6 21.2 Total 100 100 100 100 100 100 100 100 100 100 100 1 2 3 4 5 6 7 8 9 10 Total Employment status of the head Has job 10.2 11 10.4 10 10.1 9.5 9.3 9.3 9.8 10.3 100 Does not have job 8.8 6.2 7.3 9.1 8.6 11.1 11.1 13.3 12 12.5 100 Total 9.9 10 9.8 9.8 9.8 9.9 9.7 10.1 10.3 10.8 100 Page 29 1 1 4 T a b l e P H 5 : P H I L I P P I N E S – T e n u r e S t a t u s , B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T y p e o f t e n u r e O w n h o u s e a n d l o t 6 5 . 9 6 6 . 5 6 6 . 2 6 8 . 6 6 8 . 1 6 4 . 8 6 6 . 6 7 1 . 6 7 2 . 4 7 7 . 3 6 8 . 7 5 2 4 9 . 9 5 3 . 1 5 5 . 4 5 5 . 6 5 7 . 3 6 2 . 1 6 6 . 5 7 1 7 6 . 4 6 0 R e n t h o u s e a n d l o t 0 . 4 0 . 4 0 . 5 0 . 9 0 . 4 1 0 . 8 1 . 2 1 . 5 1 . 6 0 . 9 7 . 3 1 0 . 8 1 1 . 9 1 3 . 1 1 3 . 3 1 4 . 1 1 4 . 4 1 3 . 6 1 3 . 1 1 1 . 8 1 2 . 4 O w n h o u s e r e n t l o t 1 . 9 2 . 2 2 . 8 3 2 . 4 4 . 1 3 . 9 3 . 7 3 . 4 3 . 7 3 . 1 5 . 9 6 . 3 6 . 1 7 6 . 4 4 . 8 4 . 5 4 . 5 3 . 2 2 . 4 5 . 1 O w n h o u s e r e n t - f r e e w / c 2 6 . 3 2 4 . 4 2 4 . 1 2 2 . 6 2 3 . 9 2 3 . 9 2 3 . 2 1 9 . 2 1 7 . 4 1 3 . 1 2 1 . 9 1 9 . 1 1 8 . 1 1 5 . 7 1 4 . 2 1 3 . 5 1 2 . 2 9 . 4 8 . 1 6 3 . 4 1 1 . 9 O w n h o u s e r e n t - f r e e w o / c 2 2 . 4 2 . 2 1 . 8 1 . 8 2 . 2 1 . 5 1 1 . 8 0 . 5 1 . 7 7 . 5 7 5 . 6 4 . 4 5 . 1 4 . 4 3 . 5 2 . 2 1 . 5 1 . 6 4 . 3 R e n t : f r e e h o u s e a n d l o t w / c 3 . 4 4 . 1 4 . 1 3 . 1 3 . 2 4 3 . 8 3 . 2 3 . 6 3 . 7 3 . 6 7 . 4 7 . 6 7 . 2 5 . 5 5 . 8 6 . 5 5 . 9 5 5 4 . 2 6 R e n t : f r e e h o u s e a n d l o t w o / c 0 . 1 0 0 . 2 0 . 1 0 . 2 0 . 1 0 . 2 . . 0 . 1 0 . 1 0 . 8 0 . 5 0 . 4 0 . 4 0 . 2 0 . 8 0 . 1 0 . 2 0 . 2 0 . 2 0 . 4 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 Page 30 1 1 5 T a b l e P H 6 : P H I L I P P I N E S – T y p e O f H o u s i n g , B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T y p e o f t h e b u i l d i n g S i n g l e h o u s e 9 8 . 7 9 8 . 5 9 8 9 8 . 5 9 8 . 8 9 8 . 5 9 8 . 2 9 7 . 9 9 6 . 8 9 6 . 9 9 8 . 1 8 3 . 1 8 4 . 7 8 5 8 5 8 5 . 9 8 4 . 1 8 4 . 5 8 3 . 7 8 3 . 6 8 1 . 4 8 4 . 1 D u p l e x 0 . 7 0 . 4 0 . 9 0 . 7 0 . 5 0 . 7 0 . 8 1 . 2 1 . 6 1 . 5 0 . 9 3 . 2 3 . 5 3 . 7 4 . 6 3 . 7 4 . 1 3 . 9 4 4 . 2 4 . 9 4 A p a r t m e n t 0 . 1 0 . 1 0 . 2 0 . 1 0 . 1 0 . 3 0 . 2 0 . 4 0 . 7 0 . 5 0 . 3 3 . 7 6 . 1 6 . 9 7 . 2 8 . 1 9 . 9 1 0 1 1 1 0 . 3 1 2 . 2 8 . 6 I m p r o v i s e d h o u s e 0 . 6 0 . 8 0 . 7 0 . 6 0 . 5 0 . 2 0 . 4 0 . 6 0 . 4 0 . 5 0 . 5 9 . 7 5 . 4 4 2 . 8 1 . 8 1 . 2 1 0 . 5 0 . 3 0 . 2 2 . 7 C o m m e r c i a l h o u s e 0 . 0 . 1 . . 0 0 . 2 0 0 . 4 0 . 6 0 . 1 0 . 3 0 . 2 0 . 3 0 . 4 0 . 3 0 . 5 0 . 6 0 . 8 1 . 6 1 . 4 0 . 7 O t h e r : c a v e , b o a t . 0 . 1 0 . 1 0 . 1 0 . 2 0 . 3 0 . 2 . 0 . 2 . 0 . 1 0 0 . 2 . . 0 . 2 0 0 . 0 . 0 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T y p e o f t h e b u i l d i n g S i n g l e h o u s e 9 . 9 1 0 . 2 1 0 . 1 1 0 . 1 1 0 . 1 1 0 . 1 1 0 . 1 1 0 9 . 9 9 . 5 1 0 0 9 . 7 1 0 . 1 1 0 . 1 1 0 . 1 1 0 . 2 1 0 1 0 1 0 1 0 9 . 7 1 0 0 D u p l e x 7 . 3 4 . 8 9 . 9 8 . 5 5 . 8 8 . 1 9 . 2 1 3 1 7 . 6 1 5 . 8 1 0 0 7 . 9 8 . 7 9 . 4 1 1 . 5 9 . 3 1 0 . 5 9 . 7 1 0 . 1 1 0 . 6 1 2 . 3 1 0 0 A p a r t m e n t 2 . 9 5 . 1 7 . 5 4 . 3 2 . 3 1 0 . 2 7 . 3 1 5 . 5 2 5 . 5 1 9 . 5 1 0 0 4 . 2 7 . 1 8 . 1 8 . 5 9 . 5 1 1 . 7 1 1 . 7 1 2 . 9 1 2 . 1 1 4 . 3 1 0 0 I m p r o v i s e d h o u s e 1 1 1 5 . 8 1 2 . 8 1 1 . 3 9 . 1 4 8 . 3 1 0 . 8 8 9 1 0 0 3 5 . 5 2 0 1 5 . 1 1 0 . 5 6 . 7 4 . 6 3 . 6 1 . 9 1 . 2 0 . 9 1 0 0 C o m m e r c i a l h o u s e 1 . 9 . 9 . 2 . . 3 . 3 1 2 . 9 1 . 3 2 8 . 3 4 3 . 2 1 0 0 3 . 9 3 5 . 1 6 . 7 5 8 . 4 9 . 7 1 2 . 9 2 4 . 2 2 1 . 2 1 0 0 O t h e r : c a v e , b o a t . 7 . 8 1 2 . 3 6 . 3 1 2 . 6 2 5 . 1 1 8 . 8 . 1 7 . 1 . 1 0 0 1 0 . 4 3 5 . . 3 9 . 7 5 . 5 3 . 7 . 5 . 5 . 1 0 0 T o t a l 9 . 9 1 0 . 1 1 0 . 1 1 0 . 1 1 0 1 0 . 1 1 0 . 1 1 0 1 0 9 . 6 1 0 0 9 . 8 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 . 1 1 0 . 1 1 0 0 Page 31 116 Table PH7: MANILA – Type Of Housing, By Decile, Rural/Urban 1 2 3 4 5 6 7 8 9 10 Total Type of the building Single house 62.3 65.3 65.6 66.4 67.4 63.1 62.9 64.1 64.3 64.4 64.6 Duplex 6.64.96.1 7.9 6.5 7.2 6.3 5.8 7.3 6.7 6.5 Apartment 9.4 16.2 17.6 19.1 20.8 25.8 26.6 28.2 24.5 27.6 21.7 Improvised house 21.2 13.4 10.2 5.7 4.3 3.6 2.5 0.8 1 0.6 6.3 Commercial house 0.50.10.5 0.9 0.4 0.4 1.7 1.1 2.9 0.8 0.9 Other: cave, boat ... . 0.6 . ... . 0.1 Total 100 100 100 100 100 100 100 100 100 100 100 1 2 3 4 5 6 7 8 9 10 Total Type of the building Single house 9.6 10.1 9.9 10.1 10.2 9.6 9.5 10.1 10.2 10.8 100 Duplex 107.69.1 11.9 9.7 10.8 9.4 8.9 11.5 11 100 Apartment 4.3 7.5 7.9 8.7 9.4 11.8 11.9 13.2 11.6 13.7 100 Improvised house 33.6 21.5 15.9 9 6.7 5.6 3.9 1.2 1.7 1 100 Commercial house 51.15.6 9.5 4.3 3.9 17.4 11.7 32.4 9 100 Other: cave, boat ... . 1 0 0..... 1 0 0 Total 9.9 10 9.8 9.8 9.8 9.9 9.7 10.1 10.3 10.8 100 Page 32 1 1 7 T a b l e P H 8 : P H I L I P P I N E S – T y p e O f R o o f , B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T y p e o f t h e r o o f S t r o n g : C o n c r e t e , i r o n 2 2 . 5 2 7 . 7 3 1 . 3 3 5 . 6 4 1 . 9 4 3 . 2 4 8 . 8 5 3 . 6 6 3 . 7 7 4 . 7 4 4 . 2 3 1 . 7 4 4 4 6 . 9 5 3 . 9 5 9 . 4 6 5 . 3 7 3 . 2 7 7 . 5 8 3 . 3 9 1 . 4 6 2 . 8 L i g h t : c o g o n , n i p a 6 4 . 6 5 8 . 5 5 4 . 2 4 7 . 5 4 3 3 9 3 5 . 8 2 9 . 6 2 1 . 8 1 3 . 3 4 0 . 8 3 0 . 7 2 3 . 5 2 1 1 8 1 6 . 3 1 3 . 2 1 0 . 1 7 . 1 4 . 7 2 . 1 1 4 . 6 S a l v a g e d m a t e r i a l s 0 . 7 1 . 3 0 . 8 0 . 8 0 . 7 0 . 5 0 . 8 0 . 7 0 . 4 0 . 6 0 . 7 5 . 5 3 . 2 2 . 6 1 . 7 1 . 4 0 . 6 0 . 5 0 . 5 0 . 4 0 . 2 1 . 6 M i x e d : p r e d o m i n a n t l y s t r o n g 4 . 4 6 . 3 6 . 6 9 . 4 8 1 0 . 2 8 . 6 1 1 9 . 4 8 . 7 8 . 3 1 5 . 2 1 6 . 5 1 8 1 6 . 4 1 5 . 5 1 4 . 7 1 1 . 6 1 1 . 3 9 5 . 2 1 3 . 3 M i x e d : p r e d o m i n a n t l y l i g h t 7 . 5 5 . 8 6 . 9 6 . 5 6 . 4 6 . 9 5 . 9 5 . 1 4 . 4 2 . 8 5 . 8 1 2 1 0 . 3 9 . 6 8 . 5 6 . 9 5 . 5 4 3 . 3 2 . 5 0 . 9 6 . 3 M i x e d : p r e d o m i n a n t l y s a l v a g e d 0 . 3 0 . 5 0 . 2 0 . 2 . 0 . 2 0 . 1 0 . 1 0 . 2 . 0 . 2 5 2 . 5 1 . 8 1 . 4 0 . 5 0 . 7 0 . 5 0 . 2 0 . 1 0 . 1 1 . 3 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T y p e o f t h e r o o f S t r o n g : C o n c r e t e , i r o n 5 6 . 3 7 . 1 8 . 1 9 . 5 9 . 9 1 1 . 1 1 2 . 2 1 4 . 4 1 6 . 3 1 0 0 5 7 7 . 5 8 . 6 9 . 5 1 0 . 5 1 1 . 6 1 2 . 4 1 3 . 4 1 4 . 7 1 0 0 L i g h t : c o g o n , n i p a 1 5 . 6 1 4 . 5 1 3 . 4 1 1 . 7 1 0 . 6 9 . 6 8 . 8 7 . 3 5 . 3 3 . 1 1 0 0 2 0 . 6 1 6 1 4 . 4 1 2 . 4 1 1 . 1 9 . 1 6 . 9 4 . 9 3 . 3 1 . 4 1 0 0 S a l v a g e d m a t e r i a l s 9 . 3 1 7 . 5 1 1 1 0 . 6 9 . 7 7 . 1 1 1 . 2 9 . 8 5 . 9 7 . 9 1 0 0 3 2 . 5 1 9 . 3 1 5 . 8 1 0 . 1 8 . 6 3 . 7 2 . 8 3 . 2 2 . 6 1 . 4 1 0 0 M i x e d : p r e d o m i n a n t l y s t r o n g 5 . 3 7 . 7 8 . 1 1 1 . 5 9 . 7 1 2 . 4 1 0 . 5 1 3 . 3 1 1 . 4 1 0 . 1 1 0 0 1 1 . 2 1 2 . 4 1 3 . 6 1 2 . 3 1 1 . 6 1 1 . 1 8 . 7 8 . 5 6 . 8 3 . 9 1 0 0 M i x e d : p r e d o m i n a n t l y l i g h t 1 2 . 7 1 0 1 2 1 1 . 2 1 0 . 9 1 2 1 0 . 2 8 . 7 7 . 6 4 . 6 1 0 0 1 8 . 6 1 6 . 2 1 5 . 1 1 3 . 5 1 0 . 8 8 . 7 6 . 3 5 . 2 4 1 . 5 1 0 0 M i x e d : p r e d o m i n a n t l y s a l v a g e d 1 7 . 9 2 8 . 6 1 1 . 8 1 0 . 5 . 1 0 . 3 4 . 2 3 . 5 1 3 . 2 . 1 0 0 3 7 . 8 1 9 . 3 1 4 . 3 1 1 . 2 4 . 2 5 . 3 4 . 2 1 . 9 0 . 7 1 1 0 0 T o t a l 9 . 9 1 0 . 1 1 0 . 1 1 0 . 1 1 0 1 0 . 1 1 0 . 1 1 0 1 0 9 . 6 1 0 0 9 . 8 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 . 1 1 0 . 1 1 0 0 Page 33 1 1 8 T a b l e P H 9 : P H I L I P P I N E S – T y p e O f W a l l s , B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T y p e o f t h e w a l l s S t r o n g : C o n c r e t e , i r o n 1 6 . 3 2 3 . 2 2 5 . 6 3 0 . 4 3 7 . 1 3 7 . 6 4 5 . 3 4 6 . 4 5 8 . 2 7 2 . 4 3 9 . 1 2 6 . 5 3 7 . 5 4 3 . 1 5 0 . 2 5 5 . 3 6 2 . 2 7 1 . 4 7 5 . 3 8 1 . 1 8 9 . 9 5 9 . 4 L i g h t : c o g o n , n i p a 6 7 5 8 . 8 5 5 . 9 4 7 4 3 . 4 3 9 . 1 3 5 . 1 2 9 . 9 2 1 . 4 1 1 . 5 4 1 3 1 . 9 2 4 . 6 2 1 . 8 1 7 . 6 1 5 . 5 1 2 . 7 8 . 8 6 . 1 4 2 . 1 1 4 . 5 S a l v a g e d m a t e r i a l s 1 . 2 1 . 2 1 . 3 0 . 8 0 . 9 0 . 4 0 . 8 0 . 9 0 . 5 0 . 7 0 . 9 6 . 2 3 . 3 2 . 7 2 . 1 1 . 5 1 0 . 6 0 . 4 0 . 4 0 . 2 1 . 8 M i x e d : p r e d o m i n a n t l y s t r o n g 5 . 9 8 . 2 9 . 2 1 2 . 2 1 0 1 4 . 4 1 1 . 2 1 5 . 5 1 4 . 8 1 1 . 3 1 1 . 3 1 6 . 6 1 9 1 9 . 5 1 8 . 2 1 9 1 6 . 9 1 3 . 9 1 4 1 1 . 5 6 . 4 1 5 . 5 M i x e d : p r e d o m i n a n t l y l i g h t 9 . 1 7 . 9 7 . 8 8 . 8 8 . 4 8 . 2 7 . 6 6 . 9 4 . 8 3 . 8 7 . 3 1 3 . 9 1 2 . 6 1 0 . 9 1 0 . 2 8 6 . 3 4 . 7 3 . 8 2 . 9 1 . 3 7 . 4 M i x e d : p r e d o m i n a n t l y s a l v a g e d 0 . 6 0 . 8 0 . 3 0 . 7 0 . 2 0 . 3 0 . 1 0 . 3 0 . 2 0 . 3 0 . 4 4 . 8 2 . 9 2 1 . 7 0 . 7 0 . 9 0 . 5 0 . 3 0 . 1 0 . 1 1 . 4 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T y p e o f t h e w a l l s S t r o n g : C o n c r e t e , i r o n 4 . 1 6 6 . 6 7 . 8 9 . 5 9 . 7 1 1 . 7 1 1 . 9 1 4 . 9 1 7 . 8 1 0 0 4 . 4 6 . 3 7 . 3 8 . 5 9 . 3 1 0 . 5 1 2 1 2 . 7 1 3 . 8 1 5 . 3 1 0 0 L i g h t : c o g o n , n i p a 1 6 . 1 1 4 . 5 1 3 . 7 1 1 . 6 1 0 . 6 9 . 6 8 . 6 7 . 3 5 . 2 2 . 7 1 0 0 2 1 . 6 1 7 1 5 . 1 1 2 . 2 1 0 . 7 8 . 8 6 4 . 2 2 . 8 1 . 4 1 0 0 S a l v a g e d m a t e r i a l s 1 3 . 5 1 3 . 9 1 4 . 8 9 . 7 1 0 . 2 4 . 9 8 . 8 1 0 . 6 6 7 . 5 1 0 0 3 3 . 1 1 8 . 1 1 4 . 8 1 1 . 4 8 . 4 5 . 4 3 . 3 2 . 3 2 1 . 3 1 0 0 M i x e d : p r e d o m i n a n t l y s t r o n g 5 . 2 7 . 4 8 . 2 1 0 . 9 8 . 9 1 2 . 9 1 0 1 3 . 7 1 3 . 1 9 . 7 1 0 0 1 0 . 5 1 2 . 2 1 2 . 6 1 1 . 8 1 2 . 2 1 1 9 9 . 1 7 . 5 4 . 2 1 0 0 M i x e d : p r e d o m i n a n t l y l i g h t 1 2 . 2 1 0 . 8 1 0 . 7 1 2 . 1 1 1 . 5 1 1 . 3 1 0 . 4 9 . 5 6 . 5 5 1 0 0 1 8 . 4 1 6 . 9 1 4 . 6 1 3 . 7 1 0 . 7 8 . 6 6 . 3 5 . 1 4 1 . 7 1 0 0 M i x e d : p r e d o m i n a n t l y s a l v a g e d 1 6 . 5 2 1 . 7 7 . 2 1 8 . 4 5 . 5 7 . 3 2 . 2 7 . 9 6 . 5 6 . 7 1 0 0 3 4 . 1 2 1 . 1 1 4 . 7 1 2 5 . 1 6 . 3 3 . 7 2 0 . 7 0 . 4 1 0 0 T o t a l 9 . 9 1 0 . 1 1 0 . 1 1 0 . 1 1 0 1 0 . 1 1 0 . 1 1 0 1 0 9 . 6 1 0 0 9 . 8 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 . 1 1 0 . 1 1 0 0 Page 34 119 Table PH10: MANILA – Type Of Roof, By Decile 1 2 3 4 5 6 7 8 9 10 Total Type of the roof Strong: Concrete, iron 36.2 46.9 46.9 59.9 63.6 71.1 76.9 80.8 84.7 93.6 66.4 Light: cogon, nipa 21.91.2 1.5 1.6 2.3 1.5 . 0.3 0.6 1.3 Salvaged materials 10.5 6.8 5.3 2.3 2.7 1.5 1.1 0.4 0.7 0.4 3.1 Mixed: predominantly strong 26.2 26.9 30.9 25.3 23.4 18.3 15.3 15 11.5 4.2 19.5 Mixed: predominantly light 13.8 10.5 10.7 7.3 7.1 4.7 3.9 3.4 2.4 1 6.4 Mixed: predominantly salvaged 11.375 3.8 1.6 2 1.4 0.4 0.3 0.2 3.3 Total 100 100 100 100 100 100 100 100 100 100 100 1 2 3 4 5 6 7 8 9 10 Total Type of the roof Strong: Concrete, iron 5.4 7.1 6.9 8.9 9.4 10.6 11.2 12.3 13.1 15.2 100 Light: cogon, nipa 15.7 15 9.1 11.7 12.1 17.4 11.4 . 2.7 5.1 100 Salvaged materials 33 21.8 16.5 7.1 8.4 4.8 3.5 1.2 2.3 1.3 100 Mixed: predominantly strong 13.3 13.8 15.5 12.7 11.7 9.3 7.6 7.8 6.1 2.3 100 Mixed: predominantly light 21.3 16.4 16.3 11.1 10.8 7.3 5.9 5.4 3.8 1.7 100 Mixed: predominantly salvaged 34.4 21.5 14.9 11. 4 4.9 6.2 4 1.2 1 0.5 100 Total 9.9 10 9.8 9.8 9.8 9.9 9.7 10.1 10.3 10.8 100 Page 35 120 Table PH11: MANILA – Tenure Status, By Decile 1 2 3 4 5 6 7 8 9 10 Total Type of tenure Own house and lot 40.4 36.8 41.1 45.5 46.5 48.4 51.2 56.6 60.7 70.6 50 Rent house and lot 17.7 25.2 28.1 28.4 29.5 28.5 29.7 27.7 26 18.8 25.9 Own house rent lot 4.6 5.4 4.5 6.1 5.5 2.2 3.4 3.5 2 1.4 3.8 Own house rent-free w/c 9.5 9.5 6.7 7.1 4.6 5.9 4.6 4 2.1 1.4 5.5 Own house rent-free wo/c 12.7 10.8 8.3 5.6 6.3 6.5 4.5 1.9 2 2.4 6 Rent: free house and lot w/c 13.1 11 10.5 6.5 76.86.36.16.85.1 7.9 Rent: free house and lot wo/c 21 . 20 . 9 0.9 0.6 1.7 0.3 0.3 0.5 0.3 0.9 Total 100 100 100 100 100 100 100 100 100 100 100 1 2 3 4 5 6 7 8 9 10 Total Type of tenure Own house and lot 87.4 8 8.9 9.1 9.5 9.9 11.5 12.5 15.2 100 Rent house and lot 6.8 9.8 10.6 10.8 11.1 10.9 11.1 10.8 10.3 7.8 100 Own house rent lot 11.9 14.1 11.5 15.6 14.1 5.7 8.7 9.1 5.3 4 100 Own house rent-free w/c 17.2 17.4 11.9 12.6 8.2 10.7 8.1 7.3 3.8 2.8 100 Own house rent-free wo/c 20.8 17.9 13.4 9.1 10.1 10.6 7.3 3.2 3.4 4.3 100 Rent: free house and lot w/c 16.4 14 13 8.1 8.6 8.5 7.8 7.8 8.9 6.9 100 Rent: free house and lot wo/c 23.1 14.2 9.9 10.4 6.7 19.2 3 3 6.1 4.3 100 Total 9.9 10 9.8 9.8 9.8 9.9 9.7 10.1 10.3 10.8 100 Page 36 1 2 1 T a b l e P H 1 2 : P H I L I P P I N E S – S o u r c e O f W a t e r , B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l S o u r c e o f w a t e r O w n f a u c e t 1 . 8 2 2 . 8 4 . 7 4 5 . 3 7 . 1 1 0 1 3 . 2 2 2 7 . 2 1 1 . 5 1 8 . 1 2 4 . 4 2 7 . 4 3 2 . 4 3 7 . 7 4 5 . 4 5 2 5 7 . 2 6 6 3 7 . 3 S h a r e d f a u c e t 1 8 . 7 1 9 . 6 2 2 . 3 1 9 . 8 2 2 . 3 2 0 . 6 2 1 . 4 2 1 . 9 1 8 . 7 1 7 . 2 2 0 . 3 3 1 2 8 . 8 2 6 . 5 2 7 . 2 2 5 . 3 2 0 . 4 1 7 . 7 1 5 . 3 1 3 . 2 8 . 7 2 1 . 4 O w n : p i p e d w e l l 8 . 6 1 0 . 4 1 2 . 2 1 4 1 5 . 6 1 7 . 2 1 8 . 3 2 0 . 4 2 4 . 6 2 7 . 8 1 6 . 9 8 . 2 1 0 . 6 1 1 . 6 1 1 . 6 1 2 . 4 1 3 . 8 1 5 . 5 1 5 . 6 1 5 . 7 1 6 . 9 1 3 . 2 S h a r e d : p i p e d w e l l 2 5 . 6 2 6 . 4 2 5 . 9 2 3 2 4 . 2 2 3 . 8 2 4 . 6 2 0 . 4 1 9 . 3 1 4 . 3 2 2 . 8 2 3 . 9 2 3 . 7 2 0 . 6 1 8 . 8 1 6 . 8 1 5 . 1 1 1 . 1 8 . 5 7 4 . 2 1 5 D u g w e l l 2 3 . 4 2 2 . 8 1 8 . 9 2 0 1 7 . 2 1 7 . 7 1 4 . 3 1 5 . 5 1 2 . 3 1 0 . 5 1 7 . 3 1 1 . 1 8 7 6 . 1 5 . 8 5 . 6 5 . 1 3 . 9 2 . 9 2 . 1 5 . 7 S p r i n g , r i v e r 2 0 . 5 1 7 . 8 1 6 . 8 1 6 . 7 1 4 . 8 1 3 . 8 1 2 . 5 1 0 . 2 1 0 . 2 6 . 4 1 4 5 . 2 3 . 4 2 . 9 2 . 7 1 . 7 1 . 4 1 . 2 0 . 7 0 . 8 0 . 5 2 R a i n w a t e r 0 . 3 0 . 4 0 . 5 0 . 9 0 . 7 0 . 3 1 0 . 6 0 . 5 0 . 6 0 . 6 0 . 1 0 . 2 0 . 1 0 0 . 2 0 0 . 2 0 . 1 0 . 2 0 . 2 0 . 1 R e d d l e r 1 . 1 0 . 7 0 . 6 1 1 . 3 1 . 2 0 . 9 0 . 9 1 . 1 1 . 3 1 9 7 . 2 6 . 8 6 . 2 5 . 4 5 . 9 3 . 8 3 . 9 3 1 . 4 5 . 3 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 E l e c t r i c i t y i n t h e b u i l d i n g Y e s 2 2 . 4 3 1 3 6 . 5 4 1 . 9 5 0 . 5 5 4 . 6 5 9 . 6 6 4 . 7 7 4 8 7 . 2 5 2 . 1 7 0 . 5 7 9 . 8 8 6 . 2 8 9 . 3 9 1 . 5 9 4 . 2 9 6 . 2 9 7 . 5 9 8 . 2 9 9 . 4 9 0 . 3 N o e l e c t r i c i t y 7 7 . 6 6 9 6 3 . 5 5 8 . 1 4 9 . 5 4 5 . 4 4 0 . 4 3 5 . 3 2 6 1 2 . 8 4 7 . 9 2 9 . 5 2 0 . 2 1 3 . 8 1 0 . 7 8 . 5 5 . 8 3 . 8 2 . 5 1 . 8 0 . 6 9 . 7 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 Page 37 122 Table PH13: PHILIPPINES – Consumer Durables, By Poverty Status Rural/Urban Rural Urban Non- poor Poor Total Non- poor Poor Total Family owns radio 0.77 0.64 0.73 0.79 0.67 0.78 Family owns television set 0.45 0.11 0.34 0.81 0.3 0.77 Family owns video tape recorder 0.11 0.01 0.08 0.3 0.02 0.27 Family owns stereo 0.19 0.03 0.14 0.38 0.06 0.35 Family owns refrigerator 0.24 0.02 0.17 0.55 0.07 0.51 Family owns air condition 0.01 0 0.01 0.06 0 0.06 Family owns car, jeep, motorcycle 0.05 0.01 0.04 0.13 0.01 0.12 Page 38 123 Table PH14: MANILA – Source Of Water, By Decile 1 2 3 4 5 6 7 8 9 10 Total Source of water Own faucet 19.8 26.6 37.6 37.7 45.4 54.2 58.2 63.8 68.1 77.1 49.2 Shared faucet 39.6 35.4 31.3 31.8 29.3 19.8 17.5 15.6 14 7.5 24 Own: piped well 2.2 3.3 5.4 5 43.98.37.56.79.8 5.6 Shared: piped well 15.1 15.3 10.1 9.8 8.9 10.6 7 5.8 5.2 3 9 Dug well 2.6 3.8 1.7 2.5 2.5 2.1 0.7 1 1.6 0.5 1.9 Reddler 20.6 15.6 13.9 13. 2 9.9 9.4 8.4 6.3 4.4 2.2 10.3 Total 100 100 100 100 100 100 100 100 100 100 100 Electricity in the building Yes 96 97.7 99.3 99.4 99.6 100 100 100 99.7 100 99.2 No electricity 42.30.7 0.6 0.4 . . . 0.3 . 0.8 Total 100 100 100 100 100 100 100 100 100 100 100 1 2 3 4 5 6 7 8 9 10 Total Source of water Own faucet 45.47.5 7.5 9 10.9 11.5 13.1 14.2 16.9 100 Shared faucet 16.4 14.8 12.7 13 11.9 8.1 7.1 6.6 6 3.4 100 Own: piped well 3.9 5.9 9.3 8.8 6.9 6.8 14.2 13.4 12.2 18.7 100 Shared: piped well 16.6 17 10.9 10.7 9.6 11.6 7.5 6.5 6 3.6 100 Dug well 13.5 20.2 8.9 12.8 13 11.1 3.5 5.3 8.5 3 100 Reddler 19.9 15.2 13.2 12.6 9.4 9 7.9 6.2 4.4 2.3 100 Total 9.9 10 9.8 9.8 9.8 9.9 9.7 10.1 10.3 10.8 100 Electricity in the building Yes 9.6 9.9 9.8 9.8 9.8 9.9 9.8 10.2 10.3 10.9 100 No electricity 48.2 27.7 8.1 7.8 4.2 . . . 3.9 . 100 Total 9.9 10 9.8 9.8 9.8 9.9 9.7 10.1 10.3 10.8 100 Page 39 124 Table PH15: PHILIPPINES – Source Of Water, By Poverty Status Rural/Urban Rural Urban Non- poor Poor Total Non- poor Poor Total Source of water Own faucet 9.5 2.3 7.2 40.1 10 37.3 Shared faucet 19.9 21 20.3 20.5 30.1 21.4 Own: piped well 20.9 8.3 16.9 13.6 9.8 13.2 Shared: piped well 22.4 23.7 22.8 14.1 23.2 15 Dug well 14.3 23.6 17.3 4.8 15.3 5.7 Spring, river 11.4 19.5 14 1.6 6.4 2 Rain water 0.7 0.4 0.6 0.1 0.1 0.1 Reddler 1 1.1 1 5.3 5 5.3 Total 100 100 100 100 100 100 Electricity in the building Yes 63.9 26.8 52.1 93.7 56.9 90.3 No electricity 36.1 73.2 47.9 6.3 43.1 9.7 Total 100 100 100 100 100 100 Page 40 1 2 5 T a b l e P H 1 6 : P H I L I P P I N E S – T y p e O f T o i l e t , B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T y p e o f t o i l e t W a t e r - s e a l e d 2 7 . 9 3 4 . 1 3 9 . 1 4 5 . 5 4 8 . 5 5 1 5 7 . 1 6 4 . 4 7 0 . 5 8 2 . 7 5 2 5 2 . 2 6 2 6 7 . 2 7 3 . 4 7 6 . 5 8 1 . 8 8 5 . 9 8 8 . 3 9 0 . 8 9 5 . 1 7 7 . 4 C l o s e d p i t 1 8 . 3 1 9 2 0 . 7 1 9 . 1 1 7 . 5 1 5 . 7 1 3 . 7 1 3 . 1 1 0 . 3 6 . 5 1 5 . 4 1 4 . 5 1 3 . 3 1 1 . 1 9 . 6 8 . 7 7 . 3 6 . 5 5 . 4 4 . 1 2 . 5 8 . 3 O p e n p i t 2 3 . 5 2 0 . 7 1 7 . 1 1 6 . 8 1 6 . 5 1 3 . 9 1 3 . 6 9 . 1 7 . 5 4 . 1 1 4 . 3 1 0 . 2 8 . 5 7 5 . 4 4 . 6 3 . 1 2 . 4 1 . 8 1 . 3 0 . 6 4 . 5 O t h e r s : p i l e 3 . 7 4 . 3 4 2 . 8 3 . 7 4 3 . 8 2 . 5 3 . 1 1 . 7 3 . 4 7 . 1 5 . 6 5 . 7 4 . 7 4 . 6 3 . 9 2 . 6 2 . 5 2 . 9 1 . 2 4 . 1 N o n e 2 6 . 6 2 1 . 8 1 9 . 1 1 5 . 7 1 3 . 9 1 5 . 5 1 1 . 7 1 0 . 8 8 . 6 5 1 4 . 9 1 6 . 1 1 0 . 6 8 . 9 7 5 . 7 3 . 8 2 . 6 1 . 9 0 . 9 0 . 6 5 . 8 T o t a l 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 R u r a l U r b a n 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l T y p e o f t o i l e t W a t e r - s e a l e d 5 . 3 6 . 6 7 . 6 8 . 8 9 . 4 9 . 9 1 1 . 1 1 2 . 4 1 3 . 6 1 5 . 3 1 0 0 6 . 6 8 8 . 7 9 . 5 9 . 9 1 0 . 6 1 1 . 1 1 1 . 4 1 1 . 8 1 2 . 4 1 0 0 C l o s e d p i t 1 1 . 7 1 2 . 5 1 3 . 5 1 2 . 5 1 1 . 4 1 0 . 3 9 8 . 5 6 . 7 4 1 0 0 1 7 . 2 1 6 1 3 . 4 1 1 . 6 1 0 . 5 8 . 9 7 . 8 6 . 6 4 . 9 3 . 1 1 0 0 O p e n p i t 1 6 . 2 1 4 . 6 1 2 . 1 1 1 . 8 1 1 . 6 9 . 8 9 . 6 6 . 4 5 . 2 2 . 8 1 0 0 2 2 . 3 1 9 1 5 . 8 1 2 . 1 1 0 . 2 7 5 . 3 4 . 1 2 . 9 1 . 3 1 0 0 O t h e r s : p i l e 1 0 . 9 1 3 1 1 . 8 8 . 5 1 0 . 9 1 1 . 9 1 1 . 2 7 . 5 9 . 3 4 . 9 1 0 0 1 7 . 1 1 3 . 7 1 4 1 1 . 6 1 1 . 2 9 . 5 6 . 3 6 . 2 7 . 3 3 1 0 0 N o n e 1 7 . 6 1 4 . 8 1 2 . 9 1 0 . 6 9 . 3 1 0 . 5 7 . 9 7 . 3 5 . 8 3 . 3 1 0 0 2 7 . 2 1 8 . 3 1 5 . 5 1 2 . 1 9 . 8 6 . 7 4 . 5 3 . 3 1 . 6 1 1 0 0 T o t a l 9 . 9 1 0 . 1 1 0 . 1 1 0 . 1 1 0 1 0 . 1 1 0 . 1 1 0 1 0 9 . 6 1 0 0 9 . 8 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 . 1 1 0 . 1 1 0 0 Page 41 126 Table PH17: PHILIPPINES – Type Of Toilet, By Poverty Status, Rural/Urban Rural Urban Non- poor Poor Total Non- poor Poor Total Type of toilet Water-sealed 60.9 32.6 52 80.6 46.4 77.4 Closed pit 14.2 18.1 15.4 7.6 15.3 8.3 Open pit 11.5 20.4 14.3 3.5 13.8 4.5 Others: pile 3.2 3.7 3.4 3.9 5.7 4.1 None 10.2 25.2 14.9 4.5 18.8 5.8 Total 100 100 100 100 100 100 Rural Urban Non- poor Poor Total Non- poor Poor Total Type of toilet Water-sealed 80.1 19.9 100 94.5 5.5 100 Closed pit 62.9 37.1 100 82.9 17.1 100 Open pit 54.8 45.2 100 71.7 28.3 100 Others: pile 64.8 35.2 100 87 13 100 None 46.5 53.5 100 70.1 29.9 100 Total 68.3 31.7 100 90.8 9.2 100 Page 42 127 Table PH18: MANILA – Type Of Toilet, By Decile 1 2 3 4 5 6 7 8 9 10 Total Type of toilet Water-sealed 70.5 73.9 80.2 83.9 83.8 86.4 89.1 91.6 90.7 95.1 84.6 Closed pit 11.7 13.3 8.9 7.4 7.5 6.5 6.1 4.4 3.6 3.1 7.2 Open pit 3.5 2.1 2.3 1.5 1.7 0.6 0.6 0.7 0.8 0.3 1.4 Others: pile 8.6 6.7 6.1 5.7 5.8 5.5 3.2 3.2 3.9 1.5 5 None 5.7 4 2.5 1.5 1.2 1.1 1.1 0.1 0.9 . 1.8 Total 100 100 100 100 100 100 100 100 100 100 100 1 2 3 4 5 6 7 8 9 10 Total Type of toilet Water-sealed 8.3 8.7 9.2 9.7 9.7 10.1 10.2 10.9 11 12.1 100 Closed pit 16.1 18.5 12 10.1 10.2 8.9 8.2 6.2 5.2 4.6 100 Open pit 24.8 15.2 16.2 10.3 12.2 4.1 4 5.3 5.7 2.3 100 Others: pile 17.1 13.4 12 11.3 11.3 10.8 6.2 6.5 8.1 3.3 100 None 31.6 22.5 13.6 8.1 6.6 5.9 5.7 0.6 5.3 . 100 Total 9.9 10 9.8 9.8 9.8 9.9 9.7 10.1 10.3 10.8 100 Page 43 128 Table PH19: MANILA – Consumer Durables, By Decile 1 2 3 4 5 6 7 8 9 10 Total Num hh m less than one year old 0.26 0.15 0.15 0.13 0.1 0.15 0.08 0.08 0.05 0.05 0.12 Num hh m 1 to 6 years old 1.62 1.16 0.99 0.78 0.72 0.65 0.47 0.44 0.36 0.23 0.74 Num hh m 7 to 14 years old 1.63 1.34 1.03 0.99 0.72 0.71 0.67 0.64 0.51 0.45 0.86 Num hh m 15 to 24 years old 1.17 1.22 1.13 1.19 1.08 1.04 1.08 1.01 0.86 0.85 1.06 Num hh m 25 years old and over 2.69 2.39 2.36 2.44 2.35 2.45 2.37 2.31 2.23 2.12 2.37 Num hh m employed last quarter 1.89 1.88 1.75 1.8 1.85 1.78 1.83 1.72 1.72 1.65 1.79 1 2 3 4 5 6 7 8 9 10 Total Family owns radio 0.69 0.78 0.78 0.81 0.82 0.85 0.84 0.89 0.89 0.87 0.82 Family owns television set 0.8 0.86 0.91 0.91 0.91 0.95 0.96 0.98 0.96 0.98 0.92 Family owns video tape recorder 0.05 0.09 0.22 0.29 0.28 0.39 0.48 0.58 0.64 0.73 0.38 Family owns stereo 0.13 0.2 0.33 0.35 0.4 0.5 0.51 0.58 0.59 0.76 0.44 Family owns refrigerator 0.28 0.34 0.5 0.61 0.67 0.72 0.8 0.84 0.84 0.93 0.66 Family owns air condition 00 0.01 0.01 0.01 0.07 0.07 0.12 0.22 0.47 0.1 Family owns car, jeep, motorcycle 0.01 0.01 0.02 0.03 0.05 0.07 0.09 0.19 0.29 0.54 0.14 Page 44 1 2 9 T a b l e V N 1 : V I E T N A M – H o u s e h o l d C h a r a c t e r i s t i c s B y D e c i l e , R u r a l / U r b a n R u r a l U r b a n E x p e n d i t u r e d e c i l e s E x p e n d i t u r e d e c i l e s 1 2 3 4 5 6 7 8 9 1 0 T o t a l 1 2 3 4 5 6 7 8 9 1 0 T o t a l H o u s e h o l d h e a d s h i p F e m a l e - h e a d e d h o u s e h o l d 1 5 . 5 1 5 . 5 1 5 . 4 1 7 . 2 1 6 . 9 1 7 . 2 1 6 . 3 1 6 . 8 1 7 . 5 2 2 . 5 1 6 . 9 3 2 . 9 4 6 . 8 3 6 . 8 3 6 4 2 . 4 3 4 . 3 4 3 2 7 . 5 3 6 . 4 4 2 . 5 3 7 . 8 M a l e - h e a d e d h o u s e h o l d 8 4 . 5 8 4 . 5 8 4 . 6 8 2 . 8 8 3 . 1 8 2 . 8 8 3 . 7 8 3 . 2 8 2 . 5 7 7 . 5 8 3 . 1 6 7 . 1 5 3 . 2 6 3 . 2 6 4 5 7 . 6 6 5 . 7 5 7 7 2 . 5 6 3 . 6 5 7 . 5 6 2 . 2 A g e o f t h e h e a d 1 5 - 2 5 y e a r s o l d 1 . 2 2 . 8 0 . 7 1 . 2 2 1 . 1 1 1 1 . 2 0 . 8 1 . 3 1 . 1 . 1 . 7 0 . 9 . 0 . 8 . 0 . 2 0 . 6 0 . 6 0 . 6 2 5 - 3 5 y e a r s o l d 2 8 . 1 2 6 . 3 2 0 . 9 2 1 . 2 2 4 . 9 1 9 . 6 1 6 . 3 1 2 . 7 1 5 . 9 1 2 . 3 2 0 . 6 2 2 . 5 1 1 . 5 1 4 . 2 9 . 3 1 5 . 5 1 1 . 3 8 . 4 1 1 . 9 1 3 . 3 1 0 . 7 1 3 . 2 3 5 - 4 5 y e a r s o l d 3 7 . 7 3 4 . 1 3 6 . 7 3 3 . 9 2 6 . 5 3 6 . 5 3 4 . 5 3 2 . 7 3 0 . 9 2 8 . 4 3 3 . 5 2 9 . 2 2 5 . 6 3 0 2 5 . 7 2 2 . 1 2 4 . 9 3 5 . 3 2 8 . 9 3 7 . 1 4 4 . 2 2 9 . 9 4 5 - 5 5 y e a r s o l d 1 5 . 9 1 7 . 3 1 8 . 8 1 7 . 8 2 1 . 1 1 9 . 1 1 9 . 8 2 3 . 8 2 1 . 7 2 8 . 6 1 9 . 9 2 1 3 1 . 5 2 6 . 9 2 6 . 6 1 9 . 8 3 4 . 5 1 9 . 2 2 9 . 8 2 1 . 4 1 9 . 9 2 5 5 5 - 6 5 y e a r s o l d 9 . 6 1 1 . 4 1 4 . 2 1 5 . 7 1 5 1 5 . 4 1 6 . 7 1 8 . 1 1 7 . 9 1 7 . 4 1 4 . 8 1 5 . 9 1 7 . 7 1 6 1 8 . 4 2 7 . 2 1 2 2 1 . 9 1 7 . 4 1 9 . 9 1 2 . 6 1 8 6 5 + 7 . 5 8 . 2 8 . 7 1 0 . 2 1 0 . 5 8 . 2 1 1 . 7 1 1 . 7 1 2 . 4 1 2 . 5 9 . 9 1 0 . 3 1 3 . 6 1 1 . 2 1 9 . 1 1 5 . 4 1 6 . 5 1 5 . 2 1 1 . 8 7 . 7 1 2 . 1 1 3 . 3 E d u c a t i o n o f t h e h e a d N e v e r 1 9 . 3 1 3 . 1 8 . 7 7 . 6 5 . 6 6 . 6 6 . 5 5 . 9 4 . 2 5 . 3 8 . 8 8 . 2 1 1 . 2 4 . 9 6 . 7 3 . 7 4 . 7 3 1 . 4 3 . 3 0 . 6 5 . 1 < c a p I 3 3 . 7 3 0 . 8 3 1 . 9 3 0 . 7 3 1 . 4 2 9 . 8 2 7 . 5 3 0 . 1 2 4 . 9 2 2 . 1 2 9 . 7 3 2 . 5 2 3 . 7 2 2 . 1 2 3 . 3 2 1 . 1 1 5 . 3 2 2 . 9 1 2 . 2 8 . 5 7 . 8 1 9 . 8 C a p I 2 4 . 4 2 4 . 6 2 2 . 3 2 5 2 4 . 5 2 3 . 1 2 3 . 2 2 2 . 8 2 5 . 7 2 1 . 1 2 3 . 7 2 4 . 7 2 4 . 7 1 7 . 3 1 9 . 7 2 3 . 7 2 4 . 9 1 9 . 9 1 6 . 2 2 0 . 8 1 4 . 6 2 1 C a p I I 1 6 . 5 2 2 . 5 2 4 . 9 2 3 . 9 2 6 . 2 2 5 . 2 2 6 . 9 2 4 . 3 2 5 . 8 2 2 . 2 2 3 . 6 2 1 . 5 2 1 . 8 2 3 . 4 1 4 . 9 1 6 . 7 1 3 . 9 1 4 . 7 1 6 . 1 2 0 . 1 1 5 . 8 1 8 . 1 C a p I I I 2 . 3 3 . 6 4 3 . 4 4 . 1 6 . 7 3 . 4 2 . 5 5 7 . 9 4 . 1 1 . 7 5 . 4 7 . 5 1 1 . 2 6 . 6 1 1 . 3 1 1 . 5 1 0 . 7 1 1 . 3 1 4 . 1 8 . 7 N g h e S C 1 . 7 3 . 2 3 . 2 4 . 1 3 5 . 4 5 . 9 5 . 2 4 . 6 6 . 4 4 . 1 6 . 6 5 . 3 7 . 8 8 . 7 9 . 2 1 0 . 5 8 . 8 7 . 9 6 . 8 3 . 6 7 . 6 T H C N 1 . 7 2 . 3 4 . 4 4 . 8 4 . 7 2 . 6 5 . 6 7 . 1 8 . 5 1 0 . 2 4 . 8 4 . 8 6 . 4 1 4 . 4 6 . 5 1 4 . 3 1 3 1 0 . 9 1 5 . 8 1 8 . 7 1 3 . 3 1 1 . 4 D H C D 0 . 4 . 0 . 6 0 . 5 0 . 6 0 . 6 1 . 1 2 . 1 1 . 3 4 . 9 1 . 1 . 6 2 . 5 9 . 1 4 . 6 6 . 3 8 . 3 1 9 . 7 1 0 . 6 3 0 . 2 8 . 4 Page 45 130 Table VN2: VIETNAM – Household Characteristics, By Decile, Status, Rural/Urban Rural Urban Not poor Poor Total Not poor Poor Total Household headship Female-headed household 17.91 15.59 16.86 38.87 27.63 37.84 Male-headed household 82.09 84.41 83.14 61.13 72.37 62.16 Age of the head 15-25 years old 1.24 1.43 1.33 0.51 1.6 0.61 25-35 years old 16.61 25.35 20.59 12.09 24.01 13.18 35-45 years old 32.51 34.68 33.49 29.8 30.74 29.89 45-55 years old 21.97 17.43 19.9 25.67 18.87 25.05 55-65 years old 16.66 12.5 14.77 17.93 18.26 17.96 65+ 11.01 8.61 9.92 13.99 6.52 13.3 Education of the head Never 5.79 12.46 8.83 4.71 8.73 5.08