This presentation is for the 2016 EnP Board Exam Coaching Session of UP Plano for planning information and management. It is a compilation of selected topics on planning data, beginning with hierarchies and structures, and continuing well into frameworks, statistical analysis on socio-economic information (population projection and demography, location quotients, etc.) familiarisation with research terms, and an overview of GIS history.
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Planning for Progress: Data-Driven Decision Making
1. PLANNING &
INFORMATION MANAGEMENT
ENVIRONMENTAL PLANNING BOARD EXAM
COACHING SESSION #3
Presented by Jean Palma
3 April 2016
2. OUTLINE
Recap of previous concepts
I. Plan hierarchies
II. CDP + CLUP overview
III. Data management and analysis
IV. Basic research
V. Geographic information systems
12. POLICY AREAS
SPACE FOR
LIVING
SPACE FOR
MAKING A
LIVING
LIFE SUPPORT
SYSTEM
PROTECTED AREAS
NIPAS,
Non-‐NIPAS,
protected
agricultural,
environmentally-‐
constrained,
heritage
sites
SETTLEMENT AREAS
Urban,
rural,
indigenous
peoples’
settlements
INFRASTRUCTURE AREAS
Transport
network,
social
infrastructure,
economic
infrastructure,
administrative
support
PRODUCTION AREAS
Agricultural,
industrial,
commercial,
tourism,
mining
Rationalized Planning System of the Philippines
ROAD
13. POLICY AREAS
SPACE FOR
LIVING
SPACE FOR
MAKING A
LIVING
LIFE SUPPORT
SYSTEM
PROTECTED AREAS
NIPAS,
Non-‐NIPAS,
protected
agricultural,
environmentally-‐
constrained,
heritage
sites
SETTLEMENT AREAS
Urban,
rural,
indigenous
peoples’
settlements
INFRASTRUCTURE AREAS
Transport
network,
social
infrastructure,
economic
infrastructure,
administrative
support
PRODUCTION AREAS
Agricultural,
industrial,
commercial,
tourism,
mining
Rationalized Planning System of the Philippines
Built
Form
Unbuilt
Environment
ROAD
28. COMPREHENSIVE LAND USE PLAN
Settlement Policies Protection Land
Policies
Production Land
Policies
Infrastructure
Policies
COMPREHENSIVE DEVELOPMENT PLAN
Social Economic Physical Environmental Institutional
Zoning Ordinance
ELA
AIP and Budget
LOCAL DEVELOPMENT
INVESTMENT PROGRAM
Non-capital
“soft” projects
Capital “hard”
projects
LEGISLATIVE SUPPORT
MEASURES
Other planning laws, taxation
and fiscal measures, incentives,
environmental laws
Improved public services, new or
improved public facilities and
infrastructure, increased public
awareness and participation
Increased private sector
investment in local economic and
social development
Change in social and economic well-being
Change in quality of the environment
Change in local institutional capacities
LONG-TERM
FRAMEWORK
PLAN
MULTI-YEAR
MULTI-SECTORAL
DEVELOPMENT
PLAN
IMPLEMENTATION
INSTRUMENTS
OUTPUTS
OUTCOMES
Rationalized Planning System of the Philippines
30. SECTORAL
DEVELOPMENT ISSUES
AND CONCERNS
DETAILED SECTORAL
STUDIES
SECTORAL
DEVELOPMENT
OBJECTIVES AND
STRATEGIES
SECTORAL PROGRAMS
AND PROJECTS
PROJECT IDEAS OR
PROJECT BRIEFS
LOCAL DEVELOPMENT
INVESTMENT PROGRAM
PROGRAMS AND
PROJECT
IMPLEMENTATION
NGA PROGRAMSECOLOGICAL PROFILE
LGU MANDATES AND
THRUSTS
DEVELOPMENT
STRATEGIES AND
POLICIES
NEW LOCAL
LEGISLATION
LOCAL LEGISLATIVE
AGENDA
CLUP POLICIES
ZONING AND OTHER
LEGISLATION
SECTORAL DEVELOPMENT PLANNING PROCESS
Rationalized Planning System of the Philippines
31. VISION STATEMENT
VISION ELEMENT (by sector)
ELEMENT DESCRIPTORS
SUCCESS INDICATORS OF
EACH DESCRIPTOR
CURRENT REALITY
VISION-REALITY GAP
SECTORAL GOALS
SECTORAL OBJECTIVES
AND TARGETS
TIME OR RESOURCE
CONSTRAINTS
SECTORAL STRATEGIES /
POLICIES
PROPOSED NEW
LEGISLATIONS
LEGISLATIVE AGENDA
CLUP
POLICIES
SECTORAL PROGRAMS /
PROJECTS
LDIP / AIP
EXECUTIVE-LEGISLATIVE
AGENDA
SIMPLIFIED SECTORAL PLANNING PROCESS
Rationalized Planning System of the Philippines
ECOLOGICAL PROFILE
STATISTICAL COMPENDIUM
DECISION ZONES
PROBLEM-SOLUTION MATRIX
32. SIMPLIFIED PLANNING PROCESS (CLUP-CDP INTEGRATION)
Rationalized Planning System of the Philippines
Elaboration
of
ends
SpeciCication
of
means
VISION
PHYSICAL
PLANNING GOALS
CLUP
ELEMENT
DESCRIPTORS
SUCCESS
INDICATORS
CURRENT REALITY
• ECOLOGICAL
PROFILE
• STATISTICAL
COMPENDIUM
• THEMATIC MAPS
VISION-REALITY
GAP
SECTORAL
GOALS
SECTORAL
OBJECTIVES /
TARGETS
CDP
SPATIAL
STRATEGIES
LOCATION
PRINCIPLES
Protection,
production,
settlement,
infrastructure
DEVELOPMENT
Policies,
strategies,
programs,
projects,
legislation
What
it
takes
to
close
the
gap
What
can
be
reasonably
done
in
3
years
33. IF YOU HAVE A PROJECT, WHAT DO YOU DO FIRST?
1 Get
data,
look
at
the
situation
2 Assess
the
situation
3 Envision
something
4 Narrow
down,
specify
targets
5 Strategize
6 Package
the
plan
7 Implement
8 Check
from
time
to
time
9 Back
to
step
1
37. ECOLOGICAL PROFILE
Formerly
SEP
Situationer
and
database
of
the
planning
area
“Snapshot
in
time”
Presented
by
sector
Written
by
the
local
planning
ofJice
Rationalized Planning System of the Philippines
39. ECOLOGICAL PROFILE
Rationalized Planning System of the Philippines; https://cdn2.iconfinder.com/data/icons/inverticons-fill-vol-2/32/money_finance_coins_economy_gold_cash_withdraw_expenses-512.png;; https://
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computers-programming/512/Infrastructure_B-512.png
Population
and
social
services
Economic
structure,
local
specialization,
linked
industries
Natural
resource
inventory,
environmental
assessment
Inventory
of
infrastructure
and
support
facilities,
land
use
and
area
Government
organization,
Jiscal
management,
and
legislation
40. ECOLOGICAL PROFILE
Rationalized Planning System of the Philippines; https://cdn2.iconfinder.com/data/icons/inverticons-fill-vol-2/32/money_finance_coins_economy_gold_cash_withdraw_expenses-512.png;; https://
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computers-programming/512/Infrastructure_B-512.png
POPULATION PROJECTION
1. ANNUAL AVERAGE GROWTH
2. COMPOUNDED GROWTH
3. COHORTS
LINKAGES
LOCATION QUOTIENT
42. Demographic Socio-economic
Population size Dependency ratio
Population pyramid Percent urban population
Crude birth / death rate Labor force participation rate
Age-specific fertility rate, total fertility
rate, gross reproductive rate
Unemployment rate
Life expectancy at birth Enrolment rate
Sex ratio
Educational attainment of
population
Number of households Average household size income
Average household size Poverty incidence
Index of income concentration
Rationalized Planning System of the Philippines
INDICATORS AND TOOLS DESCRIBING WELL-BEING AND
POPULATION SIZE AND COMPOSITION
43. Age Groups Age
Dependent 0-14, 65 and above
Labor force 15-64
School age 3-6, 7-12, 13-16 (old educational system)
6-11, 12-15, 16-17 (K-12)
Female reproductive age 15-49
Rationalized Planning System of the Philippines
Department of Education
AGE GROUPS
53. PSA
Area 1970 1975 1980 1990 1995 2000 2010
Taguig 55 74 134 267 381 467 644
NCR 3,957 4,970 5,926 7,948 9,454 9,932 11,836
PHILS 36,684 42,070 48,098 60,703 68,616 76,507 92,338
AVERAGE ANNUAL GROWTH METHOD
t2
–
t1
267
-‐
134
Population, Census Years 1970-2010 (in thousands)
1990
-‐1980
-‐
133
10
Taguig
increased
13.3
thousand
people
per
year
from
1980
to
1990.
54. PSA
Area 1970 1975 1980 1990 1995 2000 2010
Taguig 55 74 134 267 381 467 644
NCR 3,957 4,970 5,926 7,948 9,454 9,932 11,836
PHILS 36,684 42,070 48,098 60,703 68,616 76,507 92,338
AVERAGE ANNUAL GROWTH METHOD
Population, Census Years 1970-2010 (in thousands)
By
how
many
people
per
year
did
NCR
increase
from
2000
to
2010?
60. PSA
Area 1970 1975 1980 1990 1995 2000 2010
Taguig 55 74 134 267 381 467 644
NCR 3,957 4,970 5,926 7,948 9,454 9,932 11,836
PHILS 36,684 42,070 48,098 60,703 68,616 76,507 92,338
By
how
much
did
the
population
of
Taguig
change
from
1980
to
1990?
AVERAGE ANNUAL GROWTH RATE
Pt2
–
Pt1
t2
–
t1
Population, Census Years 1970-2010 (in thousands)
%Δ
1980-‐1990:
(
P90
–
P80
)
P80
(100)
=
99%
61. PSA
Area 1970 1975 1980 1990 1995 2000 2010
Taguig 55 74 134 267 381 467 644
NCR 3,957 4,970 5,926 7,948 9,454 9,932 11,836
PHILS 36,684 42,070 48,098 60,703 68,616 76,507 92,338
By
how
much
per
year
did
the
population
of
Taguig
change
from
1980
–
1990?
AVERAGE ANNUAL GROWTH RATE
Pt2
–
Pt1
t2
–
t1
Population, Census Years 1970-2010 (in thousands)
AAGR80,90
:
(
P90
–
P80
)
P80
1990
-‐
1980
(100)
=
9.9%
every
year
62. PSA
Area 1970 1975 1980 1990 1995 2000 2010
Taguig 55 74 134 267 381 467 644
NCR 3,957 4,970 5,926 7,948 9,454 9,932 11,836
PHILS 36,684 42,070 48,098 60,703 68,616 76,507 92,338
By
how
much
per
year
did
the
population
of
Taguig
change
from
2000
to
2010?
AVERAGE ANNUAL GROWTH RATE
Population, Census Years 1970-2010 (in thousands)
63. PSA
Area 1970 1975 1980 1990 1995 2000 2010
Taguig 55 74 134 267 381 467 644
NCR 3,957 4,970 5,926 7,948 9,454 9,932 11,836
PHILS 36,684 42,070 48,098 60,703 68,616 76,507 92,338
By
how
much
per
year
did
the
population
of
Taguig
change
from
2000
to
2010?
AVERAGE ANNUAL GROWTH RATE
Pt2
–
Pt1
t2
–
t1
Population, Census Years 1970-2010 (in thousands)
AAGR00,10
:
(
P10
–
P00
)
P00
2010
-‐
2000
(100)
=
3.8%
every
year
SOLUTION
65. PSA
Area 1970 1975 1980 1990 1995 2000 2010
Taguig 55 74 134 267 381 467 644
NCR 3,957 4,970 5,926 7,948 9,454 9,932 11,836
PHILS 36,684 42,070 48,098 60,703 68,616 76,507 92,338
What
will
be
the
population
of
Taguig
in
2020?
COMPOUNDED GROWTH RATE
Pt2
–
Pt1
Population, Census Years 1970-2010 (in thousands)
Pt2
=
Pt1
(1+r)
(t2
–
t1)
66. PSA
Area 1970 1975 1980 1990 1995 2000 2010
Taguig 55 74 134 267 381 467 644
NCR 3,957 4,970 5,926 7,948 9,454 9,932 11,836
PHILS 36,684 42,070 48,098 60,703 68,616 76,507 92,338
But
Jirst,
let’s
compute
for
r.
r
is
the
rate
of
population
growth.
It
can
be
derived
from
any
two
population
years
with
available
data.
COMPOUNDED GROWTH RATE
Population, Census Years 1970-2010 (in thousands)
t1
=
1980
t2
=
1990
Pt1
=
134
Pt2
=
267
r
=
Pt2
Pt1
(
)
1
(t2
–
t1)
-‐1
SOLUTION
68. PSA
Area 1970 1975 1980 1990 1995 2000 2010
Taguig 55 74 134 267 381 467 644
NCR 3,957 4,970 5,926 7,948 9,454 9,932 11,836
PHILS 36,684 42,070 48,098 60,703 68,616 76,507 92,338
Now
that
we
have
the
value
of
r,
let’s
plug
it
in
to
the
compounded
growth
formula
and
assign
new
time
and
population
values,
where
the
2020
population
is
missing.
COMPOUNDED GROWTH RATE
Population, Census Years 1970-2010 (in thousands)
t1
=
2010
t2
=
2020
Pt1
=
644
Pt2
=
?
70. POPULATION PROJECTION
COHORTS: People experiencing the same thing at the same time
Age
group
Population
Philippines, 2010
Projected
Births,
2020
2020 Population
Projections
Projected
Births,
2030
2030 Population
Projections
Male
Female
Male
Female
Male
Female
0-9 109 104 117 112
10-19 99 95 57 108 104
20-29 84 83 108 98 94
30-39 65 65 64 83 82
40-49 51 50 63 64
50-59 35 35 47 48
60+ 29 34 45 52
COHORT SURVIVAL (in 100 thousands)
71. POPULATION PROJECTION
COHORTS: People experiencing the same thing at the same time
Age
group
Population
Philippines, 2010
Projected
Births,
2020
2020 Population
Projections
Projected
Births,
2030
2030 Population
Projections
Male
Female
Male
Female
Male
Female
0-9 109 104 117 112
10-19 99 95 57 108 104
20-29 84 83 108 98 94 ? ?
30-39 65 65 64 83 82
40-49 51 50 63 64
50-59 35 35 47 48
60+ 29 34 45 52
COHORT SURVIVAL (in 100 thousands)
73. INDUSTRIES
Employment of smaller
reference area, industry x
Total employment of smaller
reference area, industry x
Employment of larger
reference area, industry x
Total employment of larger
reference area, industry x
Primary
Secondary
Tertiary
Quaternary
Quinary
78. THE LOCAL ECONOMY
LOCATION QUOTIENT
Specialization
of
an
area
with
regard
to
a
larger
reference
area
Measured
in
terms
of
employment
Can
be
expressed
in
%
or
proportion
If
greater
than
1,
the
specialization
has
a
comparative
advantage
among
other
industries
79. LOCATION QUOTIENT
Employment of smaller
reference area, industry x
Total employment of smaller
reference area, industry x
Employment of larger
reference area, industry x
Total employment of larger
reference area, industry x
Percent
employment in
smaller area
Percent
employment in
larger area
80. LOCATION QUOTIENT
Employment of smaller
reference area, industry x
Total employment of smaller
reference area, industry x
Employment of larger
reference area, industry x
Total employment of larger
reference area, industry x
Region Total Primary Secondary Tertiary
Philippines 30,439 11,410 4,568 14,461
NCR 4,002 52 902 3,048
CAR 562 333 55 174
Region I 1,622 734 194 694
Region II 1,221 712 88 421
Does
Region
I
specialize
in
tertiary
industries?
EMPLOYMENT (in thousands) by industry group, 2002
PSA
81. LOCATION QUOTIENT
Employment of smaller
reference area, industry x
Total employment of smaller
reference area, industry x
Region Total Primary Secondary Tertiary
Philippines 30,439 11,410 4,568 14,461
NCR 4,002 52 902 3,048
CAR 562 333 55 174
Region I 1,622 734 194 694
Region II 1,221 712 88 421
EMPLOYMENT (in thousands) by industry group, 2002
PSA
% employment,
R1 tertiary
% employment,
country tertiary
694
1,622
14,461
30,439
0.89 < 1
SOLUTION
82. LOCATION QUOTIENT
Employment of smaller
reference area, industry x
Total employment of smaller
reference area, industry x
Employment of larger
reference area, industry x
Total employment of larger
reference area, industry x
Region Total Primary Secondary Tertiary
Philippines 30,439 11,410 4,568 14,461
NCR 4,002 52 902 3,048
CAR 562 333 55 174
Region I 1,622 734 194 694
Region II 1,221 712 88 421
Does
NCR
specialize
in
tertiary
industries?
EMPLOYMENT (in thousands) by industry group, 2002
PSA
83. LOCATION QUOTIENT
Employment of smaller
reference area, industry x
Total employment of smaller
reference area, industry x
Region Total Primary Secondary Tertiary
Philippines 30,439 11,410 4,568 14,461
NCR 4,002 52 902 3,048
CAR 562 333 55 174
Region I 1,622 734 194 694
Region II 1,221 712 88 421
EMPLOYMENT (in thousands) by industry group, 2002
PSA
% employment,
NCR tertiary
% employment,
country tertiary
3,042
4,002
14,461
30,439
1.62 > 1
SOLUTION
110. Thank
you
to
my
profs
for
the
knowledge
ROSARIO “CHIT” JIMENEZ
JUN CASTRO
RACHEL RACELIS
JOEY REGUNAY
CARMI LIWAG
CHUMMY CHAVES
And
to
my
study
buddies
for
greater
appreciation
and
the
big
#push