The document discusses the importance and components of an ecological profile for local government units. An ecological profile provides a comprehensive picture of the current realities in a locality by examining population and social services, the local economy, infrastructure, environmental management, and institutional development. It helps determine the level of services, available resources, and environmental factors that will influence policymaking. The profile provides data to identify problems affecting specific community segments.

1. ECOLOGICAL
PROFILE

2. a merger of the socioeconomic and
biophysical profiles of the study area and
treats these subjects on equal footing
Basic reference about all possible aspects of
the locality.
Picture of the Current Realities of the
Locality
ECOLOGICAL PROFILE

3. Information on the five development sectors:
Contents of an Ecological Profile
Population and Social Services
Local Economy
Infrastructure and Physical Base
Environmental Management and Natural
Resources Management
Institutional Development

4. IMPORTANCE OF AN ECOLOGICAL PROFILE
To help the LGU determine the following:
 current level of services to its constituents
 resources available
 environmental factors which will affect policy and
to which policy it is expected to bring changes to
To provide data that will lead to identification of
problem situations affecting the target or specific
segments of the population

5. Local Development Planning Division © 2015
Vision
Element
Descriptor
s
Success
Indicators
Current
Reality
• Ecological Profile
• Statistical
Compendium
• Thematic Maps
Physical
Planning Goals
C D P
CLUP
Vision –
Reality
Gap
Sectora
l Goals
Sectoral
Objectives
Whatever
it takes
to close
the gap
What can be
reasonably
done in 3
years
ELABORATION
OF ENDS
SPECIFICATION
OF MEANS
SPATIAL
STRATEGIES
LOCATION
PRINCIPLES
 Settlement
 Protection
 Production
 Infrastructure
DEVELOPMENT
 Policies
 Strategies
 Programs
 Projects
 Legislations
Simplified Planning
Process

6. Raw data, information
Organized data, usually in the form of
tables, not much value in themselves,
require further analysis and
interpretation
Single numbers, mostly ratios, which permit
comparisons over time and space and have
normative or policy implications
Combination of indicators designed to measure
the overall condition of the object of study, etc.
CPI, GDP, GVA, HDI, etc
DATA PYRAMID

7. Variables used to measure progress towards goals
Single numbers, mostly ratios, which permit
comparisons over time and space and have
normative or policy implications
Direct and unambiguous measure of progress
DEFINITION OF INDICATORS

8. LOCAL
DEVELOPMENT
INDICATORS
SYSTEM

9. Local Development Indicators System
•An analytical tool that portrays
information in 3 dimensions:
(1) sectoral,
(2) temporal and
(3) geographical/spatial

10. Sectoral
Dimension
• Social
• Economic
• Environment
• Physical/Infra
• Institutional
Temporal
Dimension
• Comparison
between the
latest and
earlier data to
describe
change over
time
Spatial
• Compares one
LGU with
higher-level
LGUs
LDIS: Dimensions

11. Sector Indicator
Planning
Area
Larger
Spatial
Unit
Smaller Spatial Units
A B C D
Social Population
growth rate
2000 3.2% 2.8% 2.7% 2.0% 2.5% 3.0%
2003 3.0% 2.9% 3.0% 2.1& 2.5% 2.9%
Literacy Rate
2000 95% 87% 98% 90% 88% 92%
2003 97% 88% 95% 92% 89% 94%

12. LDIS are expressed in terms of:
 Ratio
 Proportion
 Percentage
 Average
 Per capita share

13. LDIS-generated
data
Level of
development
or
underdevelop
ment of the
area
Potential and
problems of
each sector
and sub-
sector
Success
indicators for
each
descriptor of
the different
elements of
the vision
statement
Indicators
that national
agencies are
pushing

14. USING THE LOCAL DEVELOPMENT INDICATORS
SYSTEM (LDIS) FOR DATA ANALYSIS
3 “I’s” in Analysis
I Items, Statistics, Indicators
I Information
I Intelligence

15. Sector Indicator
Planning
Area
Larger
Spatial
Unit
Smaller Spatial Units
A B C D
Social Population
growth
rate
2000 3.2% 2.8% 2.7% 2.0% 2.5% 3.0%
2003 3.0% 2.9% 3.0% 2.1& 2.5% 2.9%
Literacy
Rate
2000 95% 87% 98% 90% 88% 92%
2003 97% 88% 95% 92% 89% 94%
Examples of Items, Statistics,
Indicators
What do
these
figures
mean?
1

16. Compare data/ indicators across two spatial or
geographical units
Sector Indicator
Planning
Area
Larger
Spatial
Unit
Smaller Spatial Units
A B C D
Social Population
growth
rate
3.2% 2.8% 2.7% 2.0% 2.5% 3.0%
Literacy
Rate
95% 87% 98% 90% 88% 92%
Scenarios: 1) A is greater than B
2) A is less than B
3) A is equal to B

17. Compare data indicators in two points or
periods of time.
Sector Indicator
Planning
Area
Larger
Spatial
Unit
Smaller Spatial Units
A B C D
Social Population
growth rate
2000 3.2% 2.8% 2.7% 2.0% 2.5% 3.0%
2003 3.0% 2.9% 3.0% 2.1& 2.5% 2.9%
Literacy
Rate
2000 95% 87% 98% 90% 88% 92%
2003 97% 88% 95% 92% 89% 94%
Scenarios: 1) increase
2) decrease
3) no change

18. Scenarios: Study area is
1) below,
2) above, or
3) the same as standard or benchmark
Compare data for study area with known
standards or benchmarks – if no time-series
or spatial distribution of data is available

19.  This entails probing into the causes or
explanations behind the observed
conditions.
 It asks the question, “Why?”
 It provides the clue to finding more
fundamental solutions by attacking the
causes rather than the symptoms of the
problems.
2

20. It asks the question, “So what?” if no
significant intervention is made
 Analysis can be extended further
into determining appropriate
policy interventions
3

21. Take note!
If positive implications predominate, then the
observed condition may be regarded as a
potential.
If negative implications predominate, then the
observed condition can be regarded as a problem.
Formulate policies that either mitigate the
inconvenience or solve the problem permanently.

22. Observed
Conditions
Explanations
(Causes)
Implications
when unresolved
Policy Options
WHAT DO THESE
FIGURES MEAN?
WHY? SO WHAT? WHAT TO DO?
SOLUTIONS

23. LDI
System
Map
Overlays
Observed Conditions
Implications when no
intervention is introduced
Explanations of
Causative Factors
Policy Interventions
CBMS LGPMS Vision-Reality
Gap Analysis
Goal Statements