Clup Completion April 4, 2014 (Module 3)
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Transcript of Clup Completion April 4, 2014 (Module 3)
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Comprehensive Land Use Plan VOLUME 3
Republic of the Philippines
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House of RepresentativesLone District of Lapu-Lapu
Oce of the
Congresswoman
MESSAGE
As we move toward an era characterized by challenges
to achieve to achieve economic growth, we look at resources available
and and grab every opportunity to optimize their usage.
One of the biggest potentials is land use.
Lapu-Lapu City has vast resources that can certainly boost
vital industries which in turn will help build a strong
economy. A relevant part of local and legislative efforts will
be anchored on these areas primarily to attract significant
investments.
Industries such as Tourism, Agriculture, Educational/ HealthServices/Human Resources Facilities will be at the core of all development
efforts. This is in order to realize our dream of becoming the Center of
Excellence in terms of overall growth not only in the Visayas Region but also
nationally and even globally.
I enjoin everyone to support all efforts to capitalize on these available
resources as every Oponganon living today as well as in future generations
will surely enjoy the fruits of this development
I join you as we fly high towards this great dream.
AILEEN C. RADAZA
Congresswoman
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Tel. Nos. 340-7355; 341-12390 Telefax: 340-0656 www.lapulapucity.gov.ph
TABLE OF CONTENTS
CHAPTER CONTENTS PAGE
PRELIMINARY PAGES 2
MESSAGE..
Table of Contents.... 5
List of Maps. 8
List of Figures. 9
List of Tables. 10
SECTORAL STUDIES... 11
1. DEMOGRAPHY..11
1.1 Population Composition
Total Population By Age-Group and Sex
Age-Dependency Ratio..
1.2 Population Distribution..
Population Density.
Hierarchy of Settlements/Barangay....
1.3 Population Changes
Historical Growth of Population..
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1.4 Other Population Characteristics.
TABLE OF CONTENTS
CHAPTER CONTENTS PAGE
Educational Attainment
Marital Status
Mother Tongue/Ethnicity
Religious Affiliation.
Literacy Rate..
Population Projections and Estimates..
Projected Population
Projected Density..
2. PHYSICAL/ENVIRONMENT..12.
2.1 Geographic Location.
2.2 Climate
Type of Climate
Rainfall
Prevailing Wind Direction.
Tides and Current..
2.3 Topography.
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2.4 Slope..
TABLE OF CONTENTS
CHAPTER CONTENTS PAGE
2.5 Soil..
2.6 Soil Suitability.
2.7 Land Capability.
2.8 Surface Drainage
2.9 Hydrogeology
Fault Zones/Fault Lines
Types of Bedrock Formation
2.10 Natural Risks and Hazards Areas..
Volcanic and Seismic Areas.
Flooding Hazards..
Erosion Potentials.
Tsunami Prone Areas
Landslide Prone Areas..
Liquefaction Susceptibility Areas
3. SOCIAL SECTOR.
3.1 Housing..
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3.2 Health.
3.3 Education..
TABLE OF CONTENTS
CHAPTER CONTENTS PAGE
3.4 Protective Services..
3.5 Sports and Recreation
3.6 Social Welfare.
Integrated Social Sector Analysis Matrix
4. ECONOMIC SECTOR
4.1 Industry
4.2 Commerce and Trade
4.3 Agriculture.
4.4 Forestry..
4.5 Tourism..
Integrated Economic Sector Analysis Matrix..
5. INFRASTRUCTURE AND UTILITIES SECTOR
5.1 Transportation.
5.2 Power
5.3 Water.
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SECTORAL STUDIES
1.DEMOGRAPHY
Data Analysis
1.1 Population Composition
Total Population By Age Group And Sex
The population of Lapu-Lapu City experienced an increasing trend
since the 1970 census to the last one undertaken in 2007. From a
population of 69,268 persons in 1970, it has increased to 292,530 in 2007.
In 2007, Lapu-Lapu City accounted for twelve percent of the total
population of Cebu Province.
Barangays Gun-ob, Pusok and Basak have the highest population at29,824, 26,647 and 25,297, respectively. The islet Barangay of
Caohagan, on the other hand, has the lowest at 507.
The fastest growing barangays in terms of population are Babag, Ibo,
Buaya, Suba-Basbas, Basak and Canjulao, whose population count in
2007 increased by 72.70% to 157.82% from that of Year 2000. However, a
24% drop in the total population count in Barangay Poblacion was
observed in 2007.
Please see Table 1 and Table 2.
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Table 1. POPULATION BY BARANGAY, AS OF 1 AUGUST 2007
BARANA!
POPULAT"ON#
"NCREA$E2000 2007
A%&s '()31 *('** +,.)1
Baba% '(-)* 1-(+' 1)-.,
Ban/al -(+1+ 10())) +.3-
Barin% (3-- (*3+ 3.+3
Basa/ 1+(++* )(*- -).0,
B&aa )(+3' 10(-10 *-.0
Cala2isan +()0) '(') +-.0'Can&lao )())0 *(),) -.-0
Ca24o 1(+3, 1(), 10.01
Caoha%an 3*0 )0- 30.00
Ca&bian (1)* (11+ 5.0,6
&n4ob *()+ *(,+ 0.*)
"bo (- '(--) 1+,.*0
Loo7 *(-, 13(+* 3).++
Ma78an 1)(3+ 1*(,,* *.'+
Mariba%o -(0)- *(1+1 *.)3
Mari%ondon *(00) 13(,0 )3.-
Paa7 *(+3 1+(0'1 +*.
Pao (3-- 1*(,- 511.+06Pan%an4an 1(-+ 1(-3 50.0'6
Pobla7ion 11() ,(+,' 5+.+06
P&n8a En%a9o '(330 '(313 50.-6
P&so/ 1(1*1 '('+- ).-)
$aban% +(-) +(++ 3.+*
$an8a Rosa (,-0 3(-)1 30.-0
$&ba4basbas ('*, +(*+3 ,3.1
Talima +('0 +(*+) 1'.0,
Tin%o ('+- (-)0 3.,*
T&n%asan 1(-3+ 1(-)+ 1.1)
$an Vi7en8e (,+- 3(1* 1.1
TOTAL 224,059 292,530 30.56
$OURCE: N$O( 011
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Table . TOTAL POPULATION, HOUSEHOLD POPULATION, AND NUMBER OF
HOUSEHOLDS OF TOP 10BARANA!$
Of the 291,708 household population, 49.3 percent were males while
50.7 percent were females. This resulted to a sex ratio of 97 males for
every 100 females, higher than the sex ratio recorded in 2000 (96 males
per 100 females).
In 2007, the median age of the household population of the city was 22years, which means that half of the household population were below
22 years old. This was one year higher compared to the median age of
21 years in 2000.
Age group 0 to 14 years comprised more than one third (34.3 percent) of
the household population, of which, children aged 0 to 4 years had the
largest share of 12.6 percent. The proportions of age groups 15 to 19
years (10.8 percent), 20 to 24 years (10.7 percent), and 25 to 29 years
(10.3 percent) were higher as compared to age group 10 to 14 years (10.0
percent). This was possibly brought about by in-migration of students
and workers from other localities. (Please see Figure 1 and Table 3.)
There were more males than females in age groups 0 to 14 years and 35
to 54 years, while females outnumbered their male counterparts in the
rest of the age brackets.
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;i%&re 1
$OURCE: N$O( 010
The size of the voting-age population (18 years old and over) of Lapu-
lapu City in 2007 was 173,247, or 59.4 percent of the householdpopulation. In 2000, the voting-age population was 123,545, or 57.2
percent of the household population. Females (51.7 percent)
outnumbered males (48.3 percent) in this particular segment of the
citys population.
Age Dependency Ratio
About two-thirds (63.2 percent) of the household population belonged
to the working-age population (15 to 64 years). Young dependents(under 15 years) comprised 34.3 percent, while old dependents (65
years and over) accounted for only 2.6 percent.
The overall dependency ratio for Lapu-lapu City in 2007 was 58.3, down
from 65.5 in 2000. This means that for every 100 persons in the working-
age population in 2007, there were 58 dependents (54 young and 4 old
dependents). Please see Table 3.
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Table 3. HOUSEHOLD POPULATION BY AGE GROUP AND SEX, AND SEX RATIO BY
AGE GROUP LAPU!LAPU "ITY, 2007
1.2 Population Distribution
Population Density
Table 4 shows that Lapu-Lapu City has an average population density
of 46 persons per hectare in 2007, from a population density of 35 in
2000. The island Barangay of Caubian ranks first in terms of population
density with 243 persons per hectare. Barangay Calawisan, on the other
hand, has the lowest population density with only 7 persons per
hectare.
Please see Table 4.
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Table +. POPULATION DENSITY BY BARANGAY #2000 $ 2007%
BARANGAY
AREA
#IN HAS.%
POPULATION
DENSITY
#PERSONS&HA.
%
2000 2007 2000 2007
A%&s 11.0) '()31 *('** 31 +'
Baba% 30-.1+3 '(-)* 1-(+' )-
Ban/al 00.,'* -(+1+ 10())) 3- )3Barin% *1.++3 (3-- (*3+ ' 3
Basa/ '03.1**+ 1+(++* )(*- + +
B&aa -1.+-0' )(+3' 10(-10 0 3*
Cala2isan *)'.**'3 +()0) '(') ) -
Can&lao 1)).,'-- )())0 *(),) 3' '1
Ca24o +.-) 1(+3, 1(), 3+ 3-
Caoha%an +.)+* 3*0 )0- ,' 11
Ca&bian ,.',)3 (1)* (11+ +* +3
&n4ob '.*1,3 *()+ *(,+ 130 131
"bo 1+,.0*'+ (- '(--) 1, +'
Loo7 10+.*+, *(-, 13(+* *+ 1-
Ma78an +*).*+, 1)(3+ 1*(,,* 31 +0Mariba%o ,3.13++ -(0)- *(1+1 ) 3
Mari%ondon +)1.++' *(00) 13(,0 0 31
Paa7 ),.,*'* *(+3 1+(0'1 3' )+
Pao 1)+.000 (3-- 1*(,- 1+) 1*
Pan%an4an +'.0') 1(-+ 1(-3 3- 3-
Pobla7ion 3).)1, 11() ,(+,' 31' 3*
P&n8a En%a9o 1,.3**, '(330 '(313 * *
P&so/ 1)3.3+1 1(1*1 '('+- 13, 1-+
$aban% 1*).-*' +(-) +(++ 3
$an8a Rosa ,3.++, (,-0 3(-)1 10 13
$&ba4Basbas 1').-1 ('*, +(*+3 1' 30
Talima 1',.,-' +('0 +(*+) ) *Tin%o *'.,11 ('+- (-)0 - *
T&n%asan ,'.1)* 1(-3+ 1(-)+ 0 0
$an Vi7en8e (,+- 3(1*
TOTAL
6,424.192
1 224,059 292,530 35 46
$OURCE:: N$O( 011 and CP
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1.3 Population Changes
Historical Growth of Population
The population of Lapu-Lapu City experienced an increasing trendsince the 1970 census to the last one undertaken in 2007. From a
population of 69,268 persons in 1970, it has increased to 292,530 in 2007.
The average annual growth rate of 4.20% during the 2000-2007 period
was far higher than that of the country, region, and Province of Cebu
which were pegged at 2.04%, 1.59% and 1.68%, respectively. It was also
higher compared to Mandaue City and Cebu City at 2.86% and 1.46%,
respectively.
In 2007, Lapu-Lapu City accounted for twelve percent of the total
population of Cebu Province. Please see Table 5.
Table ). HISTORI"AL GRO'TH OF POPULATION
YEAR
LAPU!
LAPU
"ITY
"EBU
PRO(IN"E
"EBU
"ITY
MANDAU
E
"ITY
REGION
(II
PHILIPPINE
S
1*-0 '*(', 1(,(+,-
3+,(1'3 ),()-+
1*,0
*,(-3 1(+*0(-31
+,,()) 110(0+3
1**0
1+'(1*+ 1(,))(,1)
'10(+1- 1,0(,)
1**)
1-3(-++ 1(,*0(3)-
''(** 1*+(-+) )(01+(),, ',('1'()3'
000
1-(01* (1'0()'*
-1,(,1 )*(-, )(-0'(*)3 -'()0'(*,
00-
*()30 (+3*(00)
-*,(,0* 31,()-) '(3*,(', ,,()-+('1+
AAGR #)%
1*-04
1*,0
3.)+# 1.*3# 3.3,# '.31#
1*,04
1**0
+.00# .1# .3# +.*+#
1**04
1**)
3.*# .01# 1.)+# 1.+'#
1**)4
000
+.,,# .*0# 1.--# '.3'# .,1# .3'#
000400-
+.0# 1.',# 1.+'# .,'# 1.)*# .0+#
$OURCE: N$O( 011
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1.3 Other Population Characteristics
Educational Attainment
Approximately 31 percent of the household population 5 years old andover had attended or completed elementary education, 36.9 percent had
reached or finished high school, 9.0 percent were college
undergraduates, and 8.6 percent were academic degree holders.
Meanwhile, there were more male academic degree holders (50.4
percent) than females (49.6 percent). The same was true among those
with post baccalaureate degrees (52.7 percent males and 47.3 percent
females).
Almost three-fifths (56.9 percent) of the household population 5 to 24
years old had attended school during School Year 2007 to 2008. School
attendance was higher among males (50.5 percent) than females (49.5
percent) during said school year.
Please see Table 6 and Table 7.
Table '. HOUSEHOLD POPULATION 5 YEAR OLD AND O(ER BY HIGHEST
EDU"ATIONAL ATTAINMENT AND SEX LAPU!LAPU "ITY
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Table -.HOUSEHOLD POPULATION 5 TO 24 YEARS OLD 'HO 'EREATTENDING S"HOOL BY SEX AND AGE GROUP LAPU!LAPU "ITY, 2007
Marital Status
Of the household population 10 years old and over, 45.4 percent were
never-married while 44.2 percent were married. The proportion of
married persons in 2007 was lower than the corresponding proportion
in 2000 (45.6 percent). On the other hand, the proportions for the rest of
the categories for marital status showed increases from their
corresponding proportions in 2000. Females outnumbered their male
counterparts in all categories for marital status. Please see Table 8.
Table ,. HOUSEHOLD POPULATION 10 YEARS OLD AND O(ER BY MARITAL STATUS
AND SEX LAPU!LAPU "ITY 2007
Mother Tongue/Ethnicity
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Religious Affiliation
Literacy Rate
Labor Force
In the 2007 census, Lapu-Lapu City has an estimated labor force of
184,232 equivalent to 63% of the total population. By the end of the
planning period of Citys labor force is projected to reach 334,844.
Please see Table 9.
Table *:LABOR FOR"E
ROUP"
N$
!EAR
01
!EAR
013
!EAR
01+
!EAR
01)
!EAR
01'
!EAR
01-
!EAR
01,
!EAR
01*
!EAR
00
!EAR
01
Labor
;or7e
22*,053
237,996
24*,373
259,202
270,503 2*2,297
294,605
307,450
320,*54
334,844
$OURCE: N$O( 010 and CP
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Population Projections and Estimates
Projected Population
Table 10 below shows the projected population of the city for a periodof ten years using 2000 census as base year.
As shown in Table 10, the population in Lapu-Lapu City will increase
by 53% at the end of the planning period from year 2011. This is based
on the 4.20% average annual growth rate.
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Projected Density
At the end of the planning period, Lapu-Lapu City will have a
population density of 78 persons per hectare. Total land area by this
time will have increased by 400 hectares with the completion and
operationalization of the Mactan North Reclamation Development
Project. This figure is 61% higher than the present population density.
Please see Table 11 and Table 12.
Table 11.PRO+E"TED POPULATION DENSITY BY BARANGAY #2009 ! 2013%
BARANGAYAREA #IN
HAS.%200* 2009 2010 2011 2012 2013
A%&s 11.0) +, )0 ) )+ )' )*
Baba% 30-.1+3 )* ' '+ '- -0 -3
Ban/al 00.,'* )) )- )* ' ') '-
Barin% *1.++3 33 3) 3' 3, 3* +1
Basa/ '03.1**+ ++ +' +- +* ) )+
B&aa -1.+-0' +1 +3 +) +- +, )0
Cala2isan *)'.**'3 - , , , * *
Can&lao 1)).,'-- '+ '- -0 - -' -*
Ca24o +.-) 3* +1 + ++ +' +,
Caoha%an +.)+* 11- 1 1- 13 13, 1+3
Ca&bian ,.',)3 )+ '+ -) ,- ** 31
&n4ob '.*1,3 13- 1+3 1+* 1)) 1'1 1',"bo 1+,.0*'+ +, )0 ) )+ )' )*
Loo7 10+.*+, 13 13, 1++ 1)0 1)' 1'3
Ma78an +*).*+, + ++ +) +- +* )1
Mariba%o ,3.13++ 3+ 3) 3- 3, +0 +1
Mari%ondon +)1.++' 3 33 3) 3' 3, 3*
Paa7 ),.,*'* )- )* '1 '+ '- -0
Pao 1)+.000 13+ 1+0 1+' 1) 1), 1')
Pan%an4an +'.0') 3* +1 + ++ +' +,
Pobla7ion 3).)1, +* )* -0 , *3 30'
P&n8a En%a9o 1,.3**, 30 31 33 3+ 3' 3-
P&so/ 1)3.3+1 1,1 1,* 1*- 0) 13
$aban% 1*).-*' + ) ' - , *$an8a Rosa ,3.++, 1+ 1+ 1) 1' 1' 1-
$&ba4Basbas 1').-1 31 3 3+ 3) 3- 3,
Talima 1',.,-' 31 3 33 3) 3' 3,
Tin%o *'.,11 30 31 3 3+ 3) 3-
T&n%asan ,'.1)* 1 3 + ) '
$an Vi7en8e
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Table 1.PRO+E"TED POPULATION DENSITY BY BARANGAY #2014 ! 2021%
BARANGAYAREA #IN
HAS.%2014 2015 2016 2017 201* 2019 2020 2021
A%&s 11.0) '1 '+ '- '* - -) -, ,3
Baba% 30-.1+3 -' -* , ,' ,* *3 *- 103
Ban/al 00.,'* -0 -3 -' -* ,3 ,' *0 *'Barin% *1.++3 +3 +) +' +, )0 )3 )) ),
Basa/ '03.1**+ )' ), '1 '3 '' '* - -'
B&aa -1.+-0' )3 )) )- '0 ' ') '- -
Cala2isan *)'.**'3 * 10 10 10 11 11 1 13
Can&lao 1)).,'-- , ,) ,* *3 *- 101 10) 11
Ca24o +.-) )0 ) )+ )' )* '1 '+ ',
Caoha%an +.)+* 1+* 1)' 1' 1'* 1-' 1,+ 1*1 0+
Ca&bian ,.',)3 3) 33, 3) 3'- 3,3 3** +1' ++
&n4ob '.*1,3 1-) 1,3 1*0 1*, 0- 1) + 3*
"bo 1+,.0*'+ '1 '+ '' '* - -) -, ,3
Loo7 10+.*+, 1'* 1-- 1,+ 1* 00 0, 1- 31
Ma78an +*).*+, )+ )' ), '1 '3 '' '* -3Mariba%o ,3.13++ +3 +) +- +* )1 )3 )) )*
Mari%ondon +)1.++' +1 + ++ +' +, )0 ) )'
Paa7 ),.,*'* - -) -* , ,) ,* *3 **
Pao 1)+.000 1- 1-* 1,' 1*+ 0 11 0 3+
Pan%an4an +'.0') )0 ) )+ )' )* '1 '+ ',
Pobla7ion 3).)1, 31* 33 3+' 3'1 3-' 3*1 +0, +3+
P&n8a En%a9o 1,.3**, 3* +0 + ++ +) +- +* )3
P&so/ 1)3.3+1 3 + ) ' -3 ,) *- 31'
$aban% 1*).-*' 30 31 33 3+ 3' 3- 3* +1
$an8a Rosa ,3.++, 1, 1, 1* 0 1 3 +
$&ba4Basbas 1').-1 +0 +1 +3 +) +- +* )1 )+
Talima 1',.,-' 3* +1 +3 ++ +' +, )0 )3Tin%o *'.,11 3, +0 +1 +3 +) +- +* )
T&n%asan ,'.1)* - , * 31 3 33 3) 3-
$an Vi7en8e
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2.1 Geographic Location
The City of Lapu-Lapu is located in the island-city of Mactan Island,
beautifully surrounded by white sandy beaches, serene coves and
scenic lagoons. It is bounded on the north and west by the Mactan
Channel, on the east by Bohol Strait, and on the south by the
Municipality of Cordova.
Lapu-Lapu City is geographically located at the following coordinates:
Westernmost point: 123o5955 (longitude), 10o206.115 (latitude)
Easternmost point: 124o
017.8971 (longitude), 10o
195.4611 (latitude)
The City is about 1.5 km. from Mandaue City and 8 km from Cebu City,
although it is only about 350 meters from Cebu City at the nearest
portion of Mactan Channel. The City is approximately 365 km from
Metro Manila (a one-hour trip by airplane).
Access to the City is provided through two bridges, the 1stMandaue-
Mactan Bridge and the Marcelo Fernan Bridge, which connect it to
mainland Cebu. Metro Ferry services are also available between Muelle
Osmea in Lapu-Lapu City and Pier III with a travel time of 15 minutes.
The presence of the Mactan-Cebu International Airport allows access to
the City from major points of the country, as well as the world.
Please see Map of the Philippines, Regional Map and City Map.
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2.2Climate
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Type of Climate
Mactan island falls under Type III of the Modified Coronas
Classification of Philippine climates. It is characterized by a not very
pronounced or distinct season. It is relatively dry from November to
April and wet during the rest of the year. Based on PAG-ASA-Mactan
station records, the island receives 78% of its annual rainfall from June
to December. The driest month is April, which receives 34.6 mm of
rainfall, while the wettetst is July with 189.4 mm of rainfall. The
average annual rainfall is 1,470 mm. On the average, there are 130 rainy
days in a year. The entire island is generally remote from the normal
path of tropical cyclones originating from the Pacific Ocean.
Rainfall
Prevailing Wind Direction and Temperature
The monthly prevailing wind in Mactan from October to May is
northeast, while from June to September is southwest. Current patterns
along the coastal region of Magellan Bay are influenced by the tidal
force and wind direction. The wind speed is in the range of 2 to 3meters-per-second (m/c). The highest wind recorded was 5.5 m/sec
along the south direction on November 20, 1990.
The average annual temperature in Mactan is 28.1oC. The coolest month
is January with a temperature of 23.8oC, while the hottest period occurs
in May at 32.9oC.
Tides and Current
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Based on primary tide station 2002 data at the Port of Cebu, the
following selected indicators show the average tidal ranges:
Main Higher High Water (MHHW) : 0.78m
Main High Water (MHW) : 0.51m
Mean Sea Level (MSL) ` : 0.00m
Mean Low Water (MLW) : -0.51m
Mean Low Low Water (MLLW): -0.69m
Highest Tide Recorded : 1.50m (1952)
Lowest Tide Recorded : -1.16m (1970)
2.3 Topography
Lapu-Lapu City is topographically flat except for some areas in the
northeastern part, which are slightly elevated. The land is made up
entirely of hard coral rock. About 40% of the area is of rocky terrain.
There are no major rivers or creeks in mainland Mactan and in the
island barangays.
2.4 Slope
2.5 Soil33
The whole island has a ground slope of 0 3%. Basically, because of its
geological formation and topography, the island is not susceptible to
erosion. There are four classifications of soil type in the City, namely:
Bolinao Clay, Faraon clay, Beach Sand, and Hydrosol.
2.6 Soil Suitability
2.7 Land Capability
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2.8 Surface Drainage
2.9 Hydrogeology
Fault Zones/Fault Lines
Types of Bedrock Formation
The geology of Mactan island is mostly coral based, with little top soil.
It is mainly made up of alluvium deposits, and tertiary limestone,
quaternary limestone and Cretaceous rocks in the whole island. The
quaternary alluvium is prevalent in the south coastal area, with a large
island intrusion west of Cordova. The porous character of the soil
makes the surface run-off seep through. It is difficult to undertakeexcavation work for pipelaying and canal works on the type of
formation of Mactan. Controlled blasting is commonly done to excavate
trenches.
2.10 Natural Risks and Hazards Areas
Volcanic and Seismic Areas
Flooding Hazards
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Erosion Potentials
Tsunami Prone Areas
Landslide Prone Areas
Liquefaction Susceptibility Areas
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3. SOCIAL SECTOR
3.1 HOUSING
Data Analysis
Housing Situation
A large portion of lands in Lapu-Lapu City are occupied by industrial,
tourism, and commercial establishments, thus limiting the land
available for human settlement. The need for housing and theincreasing number of informal settlers in the coastal areas are
indications of lack of land for the rapidly increasing population of the
city.
The household population of the city in 2007 was 291,708 persons, an
increase of 35.0 percent from 216,045 persons in 2000. The number of
households, meanwhile, increased by 45.4 percent from 44,439 in 2000
to 64,629 in 2007. The averagehousehold size in2007 was 4.5 persons,
lower than the average household size of 4.9 persons in 2000.
Housing Units
In 2007, there were 64,112 occupied housing units in Lapu-lapu City.
This was 47.1 percent higher than the number of occupied housing
units reported in 2000. A ratio of 101 households per 100 occupied
housing units was posted in 2007, lower than the 102 households per
100 occupied housing units ratio computed in 2000. Moreover, the
number of persons per occupied housing unit was 4.5 persons in 2007,
lower than the ratio of 5.0 persons per occupied housing unit in 2000.
Among the 64,112 occupied housing units in Lapu-lapu City, one third
(33.3 percent) had outer walls made of half concrete/brick/stone and
half wood. As to the construction materials of the roof, 83.9 percent had
roofs made of galvanized iron/aluminum. In 2000, most of the occupied
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Ma78an 0.-,1- 0.-,1- ,+ +*
Pao 1.3)) 1.3)) 1* +1
P&so/ -.+31 ).0+0 ,*- 3
$&ba4basbas 0.3000 0.3000 '- -
$OURCE: N$O( 011
The city has seen an increase in the demand for housing subdivisions
both for upscale/high-end and socialized. Data from the City Planning
and DevelopmentOffice revealed that as of 2011 there were already 68
subdivision projects developed within the city with a total land area of
300.117 hectares, out of these area 30.28 hectares were devoted to
socialized housing. Please see Table 15. .
Table 1).APPRO(ED RESIDENTIAL SUBDI(ISIONS, 1995 2011
SUBDI(ISION PRO+E"T "LASSIFI"ATION BARANGAYLOT AREA
#HAS.%
NO. OF
LOTS&UNITS
1 M&8&al =omes $&bdivision E7onomi7 Br%. A%&s( LLC 3.01,* has 1)* lo8s
Raah To2n =omes E7onomi7 Br%. Ban/al( LLC 0.'+3, has. 11' lo8s
3 $an8a Moni7a =omes E7onomi7 Br%. Baba%( LLC 0.,** has. -) lo8s
+ >hi8e $and $&bdivision Open Mar/e8 Br%. Mariba%o( LLC ).)+)1 has. ,, lo8s
) Pa7i?i7 Villa $&bdivision Open Mar/e8 Br%. Paa7( LLC 0.+3, has. 30) lo8s
' Vis8abella $&bdivision Open Mar/e8 Br%. Paa7( LLC '.310+ has. +) lo8s
- Vis8abella Anne@ " Open Mar/e8 Br%. Basa/( LLC .)13' has. lo8s
, Mariba%o Vis8a To2nhomes E7onomi7 Br%. Mariba%o( LLC 0.),33 has. 103 lo8s
* Ma78an ;irs8 $&bdivision Open Mar/e8 0.) has.
10 TP" =omes E7onomi7 Br%. Basa/( LLC 0.)+ has. ,3 lo8s
11 Casa N&es8ra $&bdivision E7onomi7 Br%. Ban/al( LLC 1.,'31 has. *) lo8s
1 Villa "ll&minada To2nhomes Open Mar/e8 Br%. Paa7( LLC +.1- has. 1,* lo8s
13 Villa Verna " "" E7onomi7Br%. Mari%ondon(
LLC1.0,+' has. 110 lo8s
1+ $olid =omes $&bdivision E7onomi7 Br%. Basa/( LLC 0.*)1 has. 10- lo8s
1) Vis8amar $&bdivision Open Mar/e8 Br%. Ma78an( LLC 1,.*--0 has ' lo8s
1' Ce7ilia =omes $&bdivision Open Mar/e8 Br%. Basa/( LLC 1.3*0' has. 10) lo8s
1- Villas Ma%allanes Open Mar/e8 Br%. A%&s( LLC 13.3+3+ has. +-* lo8s
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1, Pa7i?i7 rand Villas 14A Open Mar/e8Br%. $&ba4basbas(
LLC3.',-1-has. )+1 lo8s
1* Ma78an Co&n8r =omes E7onomi7 Br%. Baba%( LLC 1'.,'' has. ,0, lo8s
0 La Tropi7ana $&bdivision Open Mar/e8 Br%. Ma78an( LLC +).3+, has. ''' lo8s
1 Villa R&?ina E7onomi7 Br%. Baba%( LLC
=app =omes E7onomi7Br%. Cala2isan(
LLC
3 Aldea del $ol 5P< *)-6 Open Mar/e8 Br%. Ban/al( LLC ,.''+) has. +-) lo8s
+ B; Be88er Livin% E7onomi7 Br%. Basa/( LLC .*1 has. 30' lo8s
) Villa
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+- $8. Bernade8h $&bdivision E7onomi7 Br%. Basa/( LLC 0.***) has. 11- lo8s
+, Aienda Vi88oria Open Mar/e8 Br%. Basa/( LLC .'1), has. 1+* lo8s
+* B; Co&n8r =omes E7onomi7 Br%. Paa7( LLC .0+33 has. ,0 lo8s
)0
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Table 1'. SETTLEMENT AREAS, AS OF DE"EMBER 2010
NAME OF URBAN POOR
ORGANI-ATIONADDRESS
NO. OF
BENEFI"IARIE
S
REMARS
1. $&d8&n%%an Relo7a8ion $i8e
$&d8&n%an(
Basa/( LLCLU Proe78
4 Pa/i%dai8 Falina2 Nei%hborhood
Ass.
'
4 $i8io Fahaa% Nei%hborhood Ass. +0
4 Naarene ro&p +*
4 M&slim Union Ass. 33
. "mma7&la8e Ville =ome O2ners Ass.Timpolo/(
Baba%( LLC+3
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Table 1-. IN(ENTORY OF POTENTIAL LANDS FOR HOUSING, YEAR 2011
O'NER
T"T
NUMBE
R
LO"ATIO
N
UNDERDE(ELOP
ED
AND (A"ANT
LANDS #IN S/.M.%
ASSESSED
MARET
(ALUE
A"TUAL
LAND
USE
1. Fris8ine Chi& 0'--0 &n4ob 30(000 )+0(000
Residen8ia
l
. ;eli@ o7han $ons 01*+1 Ma78an 1+(1), +'(*)0
Residen8ia
l
3. Ma78an Real8 Corp. 00+ Ban/al ''(,3 +00(**0
Residen8ia
l
+. ;eli7iano Lim 003'* Mariba%o 1+(,) +)('-0 A%ri4Res
). ;eli7iano Lim 003-0 Mariba%o 10()*+ 30(3+0
A%ri7&l8&r
al
'. Teoli8a !o&n% $o7o 00*1 Ban/al +3(-++ 1*1(000 A%ri4Res
-.. Beni8o Chia 03*-* Mariba%o ('+- -1(-'0
Residen8ia
l
$OURCE: LLC Ci8 AssessorGs O??i7e( 011
ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
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Current and Projected Needs
Housing Backlog
In 2007, there were 517 Doubled-up Households, 2,369 UnacceptableHousing Units, 683 Makeshift/Salvage/Improvised Housing Units, for
a total of 3,569 units Housing Backlog. Please see Table 18. .
Table 1,.HOUSING BA"LOG, YEAR 2007
BA"LOG NUMBER )
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Table 1*."URRENT AND PRO+E"TED HOUSING NEEDS
2011 ! 2021
HOUSINGNEEDS
PRESENTNEEDS
2011
FUTURE HOUSING NEED
2012 2013 2014 2015 2016 2017 201* 2019 2020 2021
A. =o&sin%
Ba7/lo%1()-) 1), 1), 1), 1), 1), 1), 1), 1), 1), 1),
B. =o&sehold
;orma8ion
d&e 8o
"n7rease in
Pop&la8ion
1(+-, 3(3' 3()0, 3('' 3(,1 3(*,, +(1'1 +(+3+ +()3 +(-30 +(*3'
C. Up%radin%
TOTAL 14,053 3,520 3,666 3,*20 3,979 4,146 4,319 4,592 4,690 4,*** 5,094
$OURCE: N$O( 011( CP
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Housing Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
-Presence of informal
settlers along coastal
areas
- No shelter plan
-Insufficient city budget
for housing
-Non-implementation of
laws on informal settlers
-High population due to
migration
-Laxity in enforcing
relevant laws
-Environmental
degradation
-Health-related problems
Alarming shortage of
decent housing
Proliferation of informal
settlers.
Full implementation of PP
No. 346-A (Identifying a 25
hectare lot in Barangay
Canjulao as site for Urban
Development and
Socialized Housing)
Allocate funds for housingprojects.
Coordinate with external
partners (e.g. Gawad
Kalinga) for housing
programs.
Creation of a City Housing
Office.
Adoption of mitigating
laws to control migration
and discourage squatting.
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3.2 HEALTH
Data Analysis
3.2.1Health Resources
The priority program on health is geared to upgrade the standard of
health infrastructure and services of the city in the community and
hospital commensurate to the standard required of a highly- urbanizedcity.
Being a progressive city in the Province of Cebu and having been
declared as highly-urbanized city last July 7, 2007, the city is also
confronted with some constraints in the delivery of health services to its
constituents. The increasing in-migration rate due to informal settlers
looking for employment opportunities in the booming city causes the
unequal distribution of health resources. But the economic progressand industrial developments in Mactan Economic Zone, hotels and
beach resorts contributed to the solutions of the problems that is
encountered by the city.
There were three (3) islet barangays namely; Caubian, Pangan-an and
Caohagan that werent fully equipped in addressing emerging health
problems due to financial inadequacies (fishing is the main source of
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income). Because of this, the Local Chief Executive poured a lot of
money for the entire Olango Island barangays.
Please see Table 20.
Table 0. "OMPARATI(E STATISTI"AL& PERFORMAN"E INDI"ATORS2006 $ 2010
INDI"ATOR 2010 2009NOH&
MDG200* 2007 2006
Ca8er 5#6 *' *) *1 *3 *0 ,,
A77ess 8o $ani8ar Toile8 5#6 -).) -) ,) -0 ', ')
$OURCE: Ci8 =eal8h O??i7e( 011
With regards to the different health indicators, Lapu-Lapu City exerted
so much effort to get an excellent performance except to some few.
Almost all thirty (30) barangays performed well thats why, the city
received different awards like nutrition, Garantisadong Pambata, TB &
others in the entire Central Visayas.
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Looking into the statistical indicator of CDR, comparative 2006 to 2010,
there was no increase nor decrease of data, only CBR with 34.59 in 2006
to 30.89 in 2010. There was decreasing trend of births because of
increasing family planning acceptors. However, the 2006 & 2010, Lapu-
Lapu MMR and IMR were very below than NOH/ MDG targets. This
could be attributed to good quality prenatal care 95-101%, 70-100%
facility based deliveries and skilled birth attendants.
There was a tremendous increase of quality prenatal care, facility- based
deliveries and skilled birth attendants from 2006 to 2010 due to
continuous training of health personnel that improve their KAPS,
coordination with private practitioners & passing and approved
ordinance on safe motherhood program.
Access to sanitary toilets is 10% lower than the NOH or MDG target
due to some island barangays whose soil is sandy loam and very
difficult to construct septic tank in the area. For the other health
indicators, FIC got a very excellent performance of 110% due to the
conduct of REB (Reaching Every Barangay), and RED (Reaching Every
Depressed barangay) to prevent missed opportunities and increase/
rapid migration particularly the informal settlers to have an equal
distribution of health resources.
See Figure 1 and Figure II.
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$OURCEI Ci8 =eal8h O??i7e( 011
$OURCE: Ci8 =eal8h O??i7e( 011
URTI, skin diseases, pneumonia, diarrhea, bronchitis, and PTB
predominates the top morbidity causes which are infectious in nature
while hypertension, animal bite, traumatic injury and parasitism
complete the entire morbidity causes. Please see Table 21.
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Table 1. TEN LEADING "AUSES OF MORBIDITY PER 1000 POP.
DISEASES2010
5 YEARS A(ERAGE
2005 2009
NO. RATE NO. RATE
1. Upper Respira8or Tra78 "n?e78ion 3(0,1 -1.'+ (33 -*.+-
. $/in "n?e78ion '()1 0.+ +(+'+ 1).-)
3. Pne&monia 3(),) 11.1 -(3*- '.13
+. Bron7hi8is ()*' ,.0) ,(0) -.3'
).
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*. P&lmonar T&ber7&losis 3' .11 +3 .1+
10. Bleedin% Pep8i7 Ul7er + .0- 30 .10
$OURCE: Ci8 =eal8h O??i7e( 011
Leading causes of infant mortality varies each year but most of thecauses are mainly due to infectious diseases. The implementation of
Integrated Management of Child Illnesses (IMCI) and Infant Young
Child Feeding (IYCF) programs are important factor in the deliveries in
childhood diseases.
Please see Table 23.
Table 3. INFANT MORTALITY LEADING "AUSES 2010 PER 1000 LB
DISEASES2010
5 YEARS A(ERAGE
2005! 2009
NO. RATE NO. RATE
1. Pne&monia .1 1- 1.*,
. Con%eni8al Anomal , .,0 1 1.3
3. $ep8i7emia 3 .30 ' .3
+. Prema8&ri8 , .,0 1) 1.'1
). AR
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Table +.MATERNAL MORTALITY LEADING "AUSES 2010 PER 1000 LB
DISEASE2010
5 YEARS A(ERAGE
2005 2009
NO. RATE NO. RATE
1. Pos8par8&m e7lampsia 1 .10 1 .10
$OURCE: Ci8 =eal8h O??i7e( 011
Table 25 shows the different Existing Hospitals located in the city. These
area the Mactan Doctors Hospital in Barangay Basak, the Our Lady of
the Rule Hospital in Barangay Pajo, the Tojong General Hospital in
Barangay Looc, the MBEAB Hospital in MABES, Lapu-Lapu City, Lapu-
Lapu City Hospital in Barangay Gun-ob and the Sta. Rosa DistrictHospital in Barangay Sta. Rosa, Olango Island.
Table ). EXISTING HOSPITALS, "LASSIFI"ATION AND NUMBER OF BEDS
NAME O; =O$P"TAL LOCAT"ON CLA$$";"CAT"ON NUMBER O; BE
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All deliveries are already attended by skilled birth attendants in
hospitals, lying- in clinics, birthing homes and health centers which are
affordable and accessible to the people. The city has eight (8) PhilHealth
accredited birthing homes, and six (6) hospitals which promote facility
based deliveries attended by skilled health workers with six (6) selected
health facility to become a BEMONC facilities and one (1) CEMONC
facility.
Activities to reduce infant mortality should also be a priority since
causes of infant deaths are preventable. Passage & approval of
breastfeeding ordinance would help curve infant deaths, likewise, good
health seeking behavior and early referral of cases should be
encouraged. Health providers should undergo trainings on integratedmanagement of childhood illness (IMCI) and interventions focused on
access to better quality health care and availability of medicines.
The city has increased access to low-cost quality drugs by installing
about twelve (12) Botica ng Barangay to cater those clients who cant
afford to buy branded medicines in the community.
Health Governance:
The city has two government referral hospital (one in the island and one
in the mainland) and two tertiary private hospitals. The presence of two
hundred fifty (250) companies at MEZ I, II & III, serves as an entry
point for the public-private partnership strategy to work effectively.
Although Inter-Local Health Zones (ILHZ) is not operationalized in the
city, our two hospitals accepts patients from different municipalities.
Human Resources:
Although the city has exerted so much effort to come up with a good
and excellent performance on service delivery programs, it has to
strengthen the employment status both the hospital and public health
so as to sustain/ maintain the effective strategies by opening all vacant
positions for doctors, nurses, midwives, dentists, nursing aids, sanitary
inspectors and clerks. By doing so, the city could pass the external
benchmark for manpower population ratio.
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3.2.1Burial Grounds
The City has 4 Existing Cemeteries and Memorial Parks which are
either Public, owned by the Roman Catholic Church or the Private
Sector.. These are the Roman Catholic Cemetery with 3 hectares, the
Mactan Island Memorial Garden with 6 hectares, the Sta. Rosa Catholic
Cemetery and thenLapu-Lapu City Municipal Cemetery with 2
hectares.
Please see Table 26.
Table '. EXISTING "EMETERIES AND MEMORIAL PARS
"EMETERY&MEMORIA
L PAR
AREA "APA"IT
Y
BARANGA
Y
O'NERSHI
P
REMAR
S
Roman Ca8holi7 Ceme8er 3 has. Pao priva8e Con%es8ed
Ma78an island Memorial
arden
' has. Mari%ondon priva8e $pa7io&s
$8a. Rosa Ca8holi7
Ceme8er
$8a. Rosa priva8e Con%es8ed
Lap&4Lap& Ci8 M&n.
Ceme8er
has. &n4ob p&bli7 Con%es8ed
TOTAL ! ! !
$OURCE: Ci8 Plannin% and
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LOCATION CONDITION
Roman Catholic Cemetery,
Barangay Pajo
Mactan Island Memorial
Garden, Barangay
Marigondon
Sta. Rosa Catholic Cemetery,
Barangay Sta. Rosa
Lapu-Lapu City Municipal
Cemetery, Barangay Gun-ob
3 hectares
6 hectares
2 hectares
Congested
Spacious
Congested
Congested
Current and Projected Needs
Child Health
The health status of infants and children in the city showed that there is
a laudable support from the LCE and members of the Sangguniang
Panlungsod that almost all programs were able to reach the Millennium
Development Goals.
3.1. Although the city got 110% FIC in 2012, in order to sustain its high
coverage, the CHO staff still has to sustain the public- privatepartnership which is weak and continuous regular monitoring &
supervision of PHNs and regular conduct of reaching every depressed
purok/ sitio in a barangay (RED) to prevent missed opportunities
especially the informal settlers.
3.2 For newborn exclusively breastfed for 6 months, the city has 86%
accomplishment but there are some hospitals although certified as
Mother Baby Friendly hospital initiative of DOH, due to lack of
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monitoring by the national agencies still used milk formula and not all
health providers are trained on infant and young child feeding.
3.3. Pneumonia and diarrhea still rank as the leading causes of infant &
child diseases and deaths. One of the programs to help mothers and
caregivers manage common childhood illness like pneumonia and
diarrhea is through the Integrated Management of Childhood Illnesses.
None of the health providers trained on IMCI thus non-adoption of the
IMCI protocol. Although all health centers has available supplies of
reformulated oral rehydration salts (ORS) and Zinc supplements, there
is a need for training on IMCI, likewise orientation on the
Administrative Order on Zinc and Reformulated ORS in the
Management of Diarrhea among children to capacitate health service
providers at the centers. Likewise, the hospital staff should be trainedon IMCI for appropriate two ways referral system.
3.4 Inspite of the availability of Vitamin A capsules and Iron supplements
as procured by the LGUs, there is a need to regularly monitor the
preschoolers and school children whether it is being given to the right
recipient and proper recording & reporting as to the improvement of
health status.
The citys accomplishment with regards to micronutrient
supplementation program for preschoolers and school children already
reached the MDG target that Lapu-Lapu received the Regional
Garantisadong Pambata Award. This is due to the support of LCEs &
SP.
3.5. The implementation of Newborn Screening in the city last 2010 is not
good inspite of six (6) nurses trained to do such thing. This is due to
lack of preparation during the time of pregnancy and some mothersdont give importance to newborn screening and weak public private
partnership among birthing homes, lying in clinics and some hospitals
in terms of referral systems between the concerned providers.
BEMONC/ CEMONC Facility Upgrading
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Sta. Rosa Community Hospital needs to be repaired and rehabilitated to
be classified as BEMONC facility thus hospital staff should undergo
training to cope up as certified BEMONC facility.
Sta. Rosa RHU has to be upgraded to a BEMONC health facility to cope
up with increasing deliveries of the residence in the area.
Lapu-Lapu City Hospital lacks some equipment and additional
manpower (anesthesiologist) to be certified as CEMONC facility.
Healthy Lifestyle and Management of Health Risks:
Hataw exercises in the health facilities were not sustained, lack of
monitoring of the program implementation, sedentary lifestyle and
hard to break habits especially anti smoking.
Environmental Water and Sanitation Program
Lack of Sanitary Inspectors to implement the program
Some Sanitary Inspectors hired detained in barangay due to political
reasons.
No strict implementation on the Sanitation Code of the Philippines RA
856 in some barangays (Ordinance about compulsory construction ofsanitary toilets (water tight multi- chamber) in every households),
Ordinance about septage management program (mandatory
desludging of septage)
Lack of awareness on Ecosan toilet
Lack of total sanitation campaign (TSC)
Lack of school sanitation and hygiene education
Lack of community ecological sanitation
Disaster Preparedness and Response System
Disasters are by their very nature unpredictable and happen
inspite of the best efforts by those in control. The city must be
prepared in order to mitigate the destructions of any adversity or
calamity that may occur.
The city has a comprehensive disaster preparedness & response
management plan but not updated.
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No established stakeholders and response structures at all levels,
especially the BHERT (Barangay Health Emergency Response
Team)
There are no annual simulation drills in order to test the readiness of
the teams.
There is a need to update equipment, logistics and tools for
emergency response.
There is no strategy (information management mechanisms) on how to
provide quick messages or info in order to mitigate public panic in
case of outbreaks or disasters.
Health Facilities Development
The city has 8 district health units manned by a doctor and nurse butonly 4 doctors plantilla positions opened, 39 health centers with 25
midwives, 19 nurses, 2 dentists, 5 sanitary inspectors, 4 medical
technologists. There is a need to create and operationalize the Human
Resource Management & Development Systems to effectively manage
the human resource component for public health vis a vis opening of
the vacant plantilla positions to cater the needs of the populace
efficiently.
For the two hospitals, through the HRMDS, hopefully the vacant
positions (physicians & nurses) will be opened so as to serve the
constituents properly and at optimum standards.
The facilities itself needs repair and rehabilitation to meet the standards
to operate asBEMONC and CEMONC facilities.
Referral System
The two way referral system from the public health to the hospitalworks well but in some instances patients from the tertiary hospital
who proceeded to health centers went wrong due to failure of patients
to come back to HC for follow up after discharge.
Health Regulation
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With regards to the regulatory policies through the standards set by the
Department of Health & PhilHealth, the major gaps seen were lack of
political will, lack of budget & lack of manpower.
Generally only few recipients were able to avail of OPB, no TB DOTS
Center in the city but avail them in PPMD units in private hospital and
none of the units enrolled under MCP packages assisted by PhilHealth.
This may be due to changes in elected officials for lack of awareness in
different laws.
The number of Botika ng Barangay in the city is slow growing as to the
number required to be established. This is attributed to conflict of
interest between the barangay officials, lack of space and NGO
implementors & lack of interest of some clients to buy generic drugsand prefers to buy branded drugs. It was also noted that the re-
ordering scheme on drugs through CHD Central Visayas entails a long
period of time ranging from one to two months or even more.
Local Human Resources
Strengthening of employment status
Please see Table 27 and Table 28
Table -. PUBLI" HEALTH
POSITION& "ATEGORYEXISTING
MANPO'ER
STANDARD
POSITION RE/.GAPS
Medi7al O??i7er + , +
P&bli7 =eal8h N&rse 1* ) '
P&bli7 =eal8h
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$OURCE: Ci8 =eal8h O??i7e( Ci8 Plannin% and
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Please see Table 29.
Table *. "URRENT AND PRO+E"TED AREA RE/UIREMENT FOR BURIAL GROUNDS010 4 01
YEAR
PRO+E"TED AREA FOR
BURIAL GROUNDS#HAS.%
2010 211
2011 220
2012 229
2013 239
2014 249
2015 260
2016 270
2017 282
2018 294
2019 306
2020 3192021 333
$OURCE: Ci8 Plannin% and
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Most of these schools are concentrated in Barangays Babag, Basak, Gun-
ob, Looc, Pajo, Poblacion and Pusok. Total land area occupied by the
publicly-ran schools is 43.31 hectares. Please see Table 30 and Table 31.
Table 30. S"HOOLS BY LE(EL, TYPE, FA"ILITIES AND "ONDITIONS YEAR 2011
S"HO
OL
A
RE
A
O
"
"
UP
IE
D
TYPE FA"ILITIES AND "ONDITIONS
P
U
B
L
I
"
PR
I(
AT
E
S"IEN
"E
LAB
SHO
P
LIBR
ARY
"R PLAY
GRO
UND
"LINI
"
O(AL AUDI
TIOR
IUM
"OM
P.
LAB.
MP
HALL
S
"ANT
EEN
PU
B
P
R
I
(
P
U
B
P
R
I
(
P
U
B
P
R
I
(
P
U
B
P
R
I
(
P
U
B
P
R
I
(
P
U
B
P
R
I
(
P
U
B
P
R
I
(
P
U
B
P
R
I
(
P
U
B
P
R
I
(
P
U
B
P
R
I
(
P
U
B
P
RI
(
Eleme
n8ar
+
+
3, N N P C P P P N N N P P N P
$e7on
dar
)
1* C N P C P P P N N N N P
TOTA
L
Le%end: J ood P4Poor 5needs improvemen86 C4Cri8i7al 5reK&irin% priori8 a78ion6 N4none 5no s&7h
?a7ili86
$OURCE:
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Baba% "" E$
10(000.0
0 P&bli7
Tian%&e E$
'0.0
0 P&bli7
Timpolo/ E$
(,+).
, P&bli7
Baba% N=$
+(+3).0
0 P&bli7
Ban/al Ban/al E$
10(-,.0
0 P&bli7
Ban/al N=$
10(,-3.0
0 P&bli7
Basa/Basa/ E$
,(,1,.0
0 P&bli7
$TEC 5E$ =$6
0(000.0
0 P&bli7
$&ba Mas&lo% E$
()+,.0
0 P&bli7
$&d8on%%an E$
+('+*.0
0 P&bli7
Ben8hel Asia $7hl. O? Te7h.( "n7. Pv8. P$
Eno Learnin% Cen8er Pv8. P$E$
"ndiana Learnin% Cen8er Pv8. P$E$=$
$8. A&%&s8ine "n8erna8ion $7hool Pv8. P$E$=$
B&aaB&aa E$
(+.0
0 P&bli7
Cala2isanCala2isan E$
+('.0
0 P&bli7
Can&laoCan&lao E$
10(3-.0
0 P&bli7
Marie Ernes8ine $7hool Pv8. P$E$=$
Thri7e Admirable Children LC Pv8. P$
&n4ob
&n4ob E$
*(3-.0
0 P&bli7
&n4ob=$
+(+00.0
0 P&bli7
Ben8hel Fiddie
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ood $amari8an $7hool ;nd8n. Pv8. P$
reen arden Chris8ian $7hool Pv8. P$
Lap&4Lap& $
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=ol "n?an8 Child $7hool Pv8. P$E$
Treas&re Trove Cen8er ?or Ed&7. "n7. Pv8. P$
Pao Ma78an Air Base E$
+)(000.0
0 P&bli7
Pao E$
)()1.0
0 P&bli7
Pao N=$
'(+10.0
0 P&bli7
Advan7e "ns8i8&8e o? Te7h. Pv8. E$=$
Advan7e Asian Learnin% Cen8er Pv8.
Child2or/s LC Pv8. P$
Liber8 Bap8is8 Chris8ian A7adem Pv8. P$E$
$8.
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Ca2ha%anCa2ha%an E$
(1'0.0
0 P&bli7
Ca&bianCa&bian E$
*-0.0
0 P&bli7
Pan%an4an
Pan%an4an E$
(,)
0.00 P&bli7
O8
I
Barin%Barin% E$
1(*-'.)
0 P&bli7
Ca24oCa24o E$
+('1,.0
0 P&bli7
$aban%$aban% E$
)()0-.0
0 P&bli7
$an8a Rosa $8a. Rosa E$
10(300.0
0 P&bli7
$8a. Rosa N=$
(0)-.0
0 P&bli7
TalimaCanda%sao P$
10(000.0
0 P&bli7
Talima E$
13(,3.0
0 P&bli7
Tin%oTin%o E$
,(+'.00 P&bli7
Tin%o =$
+(113.0
0 P&bli7
T&n%asanT&n%asan E$
)(000.0
0 P&bli7
$an Vi7en8ePoo E$
10(000.0
0 P&bli7
E$ Elemen8ar $7hool
=$
P$
=i%h $7hool
Pre4$7hool
$OURCE:
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PUBLI" PRI(ATE MAL
e Basa/( Lap&4Lap& Ci8
si8 Basa/( Lap&4Lap& Ci8
velopmen8 P&so/( Lap&4Lap& Ci8
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Pre4elem
Elemen8ar
'(+* +(')- )1(0,' *'1 ,'3 1:)+ 1:'0
$e7ondar 1()0* 1()13 )(0 )0' 3'* 1:)0 1:',
$OURCE:
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P&bli7 s7hools 42,557 44,47546,610 51,0*6
Male (011 3(1++
+(,* '(+*
;emale 0()+' 1(331
(31 +(')-
Priva8e s7hools +()'*
)(0-)(+)+ )(')*
)(''- '(031
N. D:;!
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ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
65
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Current and Projected Needs
Projected Classrooms and Teachers
Table 3'. PRO+E"TED "LASSROOM, TEA"HER RE/UIREMENTS IN PUBLI" S"HOOLS
BY LE(EL
2011!2021
LE(EL
PLANNING PERIOD
2011 2012 2013 2014 2015 2016 2017 201* 2019 2020 2021
Projected
enrolment
Pre4elem
)-(11-
3)(+
--
3-(0
+
3,('
3,
+0(3
3
+(0
,1
+3(*
1)
+)(,3
0
+-(,
,
+*(*1
+
)(0*
0
Elemen8ar+-(03-
+*(0,,
)1(,
)3(+'
))(-*3
),()
'0(-'+
'3(+13
''(1-,
'*(0'+
$e7ondar *(30)30(0
'0
31(3
-1
3(-
3,
3+(1
''
3)('
)'
3-(
10
3,(,3
+0()
'
+(*
++(13
'Classroom
requirements
Pre4elem
1(,
1(01
3
1(0)
,
1(10
+
1(1)
1(0
3
1()
)1(30* 13'- 1+' 1(+,*
Elemen8ar1(3+
+
1(+0
3
1(+'
+
1()
,
1()*
+
1(''
+1-3- 1,1 1,*1 1(*-+
$e7ondar -0 -) -,) ,1* ,)) ,* *31 *-1 101+ 10), 1(10+
Teacher
requirements
Pre4elem1(,
1(01
3
1(0)
,
1(10
+
1(1)
1(0
3
1()
)1(30* 13'- 1+' 1(+,*
Elemen8ar 1(3+ 1(+0 1(+' 1() 1()* 1('' 1-3- 1,1 1,*1 1(*-+
66
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+ 3 + , + +
$e7ondar -0 -) -,) ,1* ,)) ,* *31 *-1 101+ 10), 1(10+
$OURCEI
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Lack of teachers
Proliferation of social
entertainment
Decline in the literacy
standing of students Provide additional
drinking water facilities
and drainage system
Implementation of
various health related
programs (feeding, etc)
to improve health status
of pupils/students and
class attendance
Purchase of instructional
materials & armchairs
Passage of ordinance
prohibiting
operation/presence of
social entertainment
within radius of schools
3.4 PROTECTIVE SERVICES
Data Analysis
68
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ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
Current and Projected Needs
69
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Protective Services Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
3.5 SPORTS AND RECREATION
Data Analysis
70
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ECS (Environmental Condition of the Sector) as Input to CDRA(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
Current and Projected Needs
71
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Sports and Recreation Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
72
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3.6 SOCIAL WELFARE
Data Analysis
ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
73
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Current and Projected Needs
Social Welfare Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
74
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INTEGRATED SOCIAL SECTOR ANALYSIS MATRIX
Priority
Issues/Problems
Possible Interventions
(Policies,
Programs/Projects)
ResponsibilityCenter
75
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4.ECONOMIC SECTOR
4.1 INDUSTRY
Data Analysis
ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND AREA ENVIRONMENTAL
76
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LOCATION CONDITION
Current and Projected Needs
Industry Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
77
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4.2 COMMERCE AND TRADE
Data Analysis
ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
78
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ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
Current and Projected Needs
Commerce and Trade Analysis Matrix
Technical
Findings/Observation
Implications
(Effects)
Policy
Options/Interventions
79
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s
4.3 AGRICULTURE
Data Analysis
80
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ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
Current and Projected Needs
81
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Agriculture Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
4.4 FORESTRY
Data Analysis
82
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ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
Current and Projected Needs
83
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Forestry Analysis Matrix
TechnicalFindings/Observation
s
Implications(Effects)
PolicyOptions/Interventions
84
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4.5 TOURISM
Data Analysis
ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
85
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INTEGRATED ECONOMIC SECTOR ANALYSIS MATRIX
Priority
Issues/Problems
Possible Interventions
(Policies,
Programs/Projects)
ResponsibilityCenter
87
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5.INFRASTRUCTURE AND UTILITIES SECTOR
5.1 TRANSPORTATION
Data Analysis
ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
88
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Current and Projected Needs
Transportation Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
89
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5.2 POWER
Data Analysis
ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
90
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FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
Current and Projected Needs
Power Analysis Matrix
Technical
Findings/Observation
Implications
(Effects)
Policy
Options/Interventions
91
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s
5.3 WATER
Data Analysis
ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
92
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ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
Current and Projected Needs
93
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Water Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
5.4 COMMUNICATION
Data Analysis
94
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ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY ANDLOCATION
AREA ENVIRONMENTALCONDITION
Current and Projected Needs
95
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Comprehensive Land Use Plan VOLUME 3
Communication Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
5.5 SOLID WASTE
96
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Comprehensive Land Use Plan VOLUME 3
Data Analysis
ECS (Environmental Condition of the Sector) as Input to CDRA
(Climate and Disaster Risk Assessment)
ENVIRONMENTAL CONDITION OF THE SECTOR AS INPUT TO CDRA
FACILITY AND
LOCATION
AREA ENVIRONMENTAL
CONDITION
97
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Current and Projected Needs
Solid Waste Management Analysis Matrix
Technical
Findings/Observation
s
Implications
(Effects)
Policy
Options/Interventions
98
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INTEGRATED INFRASTRUCTURE AND UTILITIES SECTOR ANALYSIS
MATRIX
Priority
Issues/Problems
Possible Interventions
(Policies,
Programs/Projects)
ResponsibilityCenter
99
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Comprehensive Land Use Plan VOLUME 3
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Comprehensive Land Use Plan VOLUME 3