4.06 Information Product Descriptions - Socio-economic

4.06.01 Socio-Economic: Housing


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	In most cities and more urbanizing municipalities/cities, the presence of informal settlers is ever increasing due to migration factors triggered by unemployment or the absence of livelihood opportunities in their places of origin and the need to find better sources of income to support their families. The presence of hazards in their areas of origin has also contributed to the increasing migration to urban areas. As shown in the examples below, different types of information can be produced using the datasets specified in the CLUP attribute database collection. Recognizing the presence of informal settlers in the municipality/city is an important first step to enable planners to plan for their relocation or needs in terms of housing, utilities and services. A map showing the location of informal settlers needs to be produced. For those situated in danger zones, it may be necessary to find a relocation site. Therefore potential land for housing should be studied as well. Further studies may be carried out by the LGU in coordination with other agencies or real estate developers in determining potential land for housing. In the following examples, the output product will show the map of informal settlers and approved housing projects. A map for potential lands for housing may be generated but will require further studies by the LGU, developers etc.
	Step 2: Identify the Indicators to Evaluate Objective Fulfillment
	Define Planning Standards for accessibility, service provision/consumer ratio, consumer/housed service, physical condition of features, etc.
	The presence of Informal Settlers, Housing Backlog, Doubled up household population projection.
	Step 3: Create the Database
	Attribute
	The following attribute tables may be used for this sector. Those in bold are used for the examples here. SE01 Housing: Occupied Housing Units by Tenure and Type, Year YYYY SE02 Housing: Occupied Housing by Household and Population Density, Year YYYY SE03 Occupied Housing Units by Construction and Condition, Year YYYY SE04 Occupied Housing by Water Provision, Sanitation, Garbage Collection and Power, Year YYYY SE05 Informal Settlement, Year YYYY SE06 Resettlement Area, Year YYYY SE07 Residential Subdivisions, Year YYYY SE08 Current and Projected Housing Needs by Barangay SE09 Potential Lands for Housing by Classification, Actual Land-use and Zoning, Year YYYY SE10 Potential Lands for Housing by Basic Services, Year YYYY SE11 Situation for the Last Three Censal Years, Year YYYY SE12 Backlog, Year YYYY
	The Custodians of sector data are the NSO, HLURB, HUDCC and the LGU.
	Spatial
	The spatial feature will be a polygon. If available, it is recommended that the aerial photo will be used as backdrop to facilitate the digitizing of the polygons. Three layers are prepared:
	1. Informal settlement areas.
	2. Housing projects
	3. Potential Lands for Housing by Classification, Actual Land-use and Zoning
	Step 4: Analyze the Data
	Refer to Housing Sector of Volume II – Social Sector of the HLURB Guidelines Analysis can be prepared based on the tables mentioned above to determine the adequacy services/utilities provided to the areas, housing needs/requirements etc.
	Cross sector analysis can also be done to assess and determine needs and requirements.
	Step 5: Present the Data

	Map of Subdivision Areas

	Map of Informal Settlements showing the Open Spaces (yellow line) that may be Potential areas for Housing

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4.06.02 Socio-Economic: Health


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	Health is a major concern for many communities today, particularly the delivery of health services to areas which are not only inaccessible, but are as well the locations of the more needy constituents of the community, who cannot afford to pay for health services on their own. It is the primary concern of the LGU that these health services should reach these areas and establish facilities like barangay health centers to cater to a fundamental need of the people. The objective is to show the adequacy of the provision of Health Services accessible to the whole municipality/city.
	Step 2: Identify the Indicators to Evaluate Objective Fulfillment
	Define Planning Standards for accessibility, service provision/consumer ratio, consumer/housed service, physical condition of buildings and plot, etc. Standard Rural Health Units (RHU) Personnel Population 1 Municipal Health Officer (MHO) per 20,000 1 Public Health Nurse (PHN) per 20,000 1 Rural Sanitary Inspector (RSI) per 20,000 1 Rural Heath Mid-wife (RHM) per 5,000 Source : RA 7305 (Magna Carta for Health Workers) Annex V of Volume V – Land Use of HLURB Guidelines
	Step 3: Create the Database
	Attributes
	The following attribute tables may be used for this sector. Those in bold are used for the examples here. SE13 Facility by Type and Ownership, Year YYYY SE14 Facility by Capacity and Condition, Year, YYYY SE15 Facility by Requirements by Barangay, Year, YYYY SE16 General Health Situation for the Last Five Years, Year YYYY SE17 Ten Leading Causes of Mortality for the Last Three Years, Year YYYY SE18 Malnourished Children for the Last Three Years, Year YYYY
	Spatial
	Data can be obtained during the GPS survey. A print out of SE 14 can be filled-up by the hospital administrator during the conduct of GPS readings.
	Hospitals
	City/Municipal Health Office
	Barangay Health Center
	The locations of these facilities are overlaid with the base map

	Step 4: Analyze the Data
	The following Analyses layers can be prepared based on the Baseline Information:
	Barangays without any health facilities

	The data can also be overlaid with the population density map to see how much of the population is being served by the health center and also how much is not served (those without health facility).

	In order to reach more people, some LGUs assign Medical Health Officers to the barangays to serve and hold clinics. Getting the total population from all the barangays being served by a Medical Health Officer will show whether it is within the standard.
	Barangays served way below the “ Medical Health Officer to Population Standard”
	Barangays served 50% below “Medical Health Officer to Population Standard”
	Barangays served slightly below “Medical Health Officer to Population Standard”
	Barangays served within or above “Medical Health Officer to Population Standard”

	If there is only one Medical Health Officer or there are more than one but are not holding clinics in barangays outside the Municipal/City Health Office, their catchment area should be the actual barangays they serve in the Municipal/City Health Office. Those Barangays which are too far away from and inaccessible to the Municipal/City Health Office and are not regularly visited by the Municipal Health Officers should be considered not served.
	Step 5: Present the Data
	Show the areas of those barangays that require a health service facility (diagonal line fill). Show also those barangays with 50% below the Municipal Health Officer to Population Standard (shaded orange) with those Way Below the Municipal Health Officer to Population Standards (shaded orange), to show more options for solutions. The solution to this problem will not only involve hiring additional MHOs but giving them additional service areas.

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4.06.03 Socio-Economic: Education


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	Education improves the quality of life and promotes citizen empowerment; hence, it is a basic need of every citizen. The objective is to use GIS to display the pertinent data of educational facilities and the constraints that exist today. This information will be used in Step 4 (see Volume 1). The users of this data are: LGU staff, officials and the general public. The education information products can be used by the District Office of the Department of Education. The final products of this activity will be digital maps for analysis as well as for display. In this example, the output will be a map showing the status of school conditions and the areas served. The inadequacy of classroom-teacher needs will also be analyzed.
	Step 2: Identify the Indicators to Evaluate Objective Fulfillment
	Regarding information about the planning methods that can be used, please refer to Volume 2. Indicators will be needed to measure fulfillment of planning standards for accessibility, student/teacher ratio, student/classroom ratio, student/school area/site ratio, student/schoolbook ratio; physical condition of building and plot. Examples on current standards for Primary and Secondary Schools are as follows: The shool site should be accessible to the population it serves. The maximum distance for a pupil or student to walk from residence to school site is three (3) kilometers, while the maximum time from residence to school aboard public conveyance is thirty (30) minutes. It should be located beyond 200 meters of places of ill-repute, recreational establishments of questionable character, manufacturing and industrial plants or military barracks The ground area occupied by the school buildings and other structures should not exceed 40% of the school site in order to provide adequate open spaces for assembly and co-curricular activities, as well as to conform with the national and local regulations and standards pertaining to setbacks and distances between buildings.
	Step 3: Create the Database
	Creating the database is a three-step process. The steps are designing the database, gathering data for the database, and managing the database.
	Attributes
	The following attribute tables may be used for this sector. Those in bold are used for the examples. SE19 School by Level, Type and Ownership, Year YYYY SE20 Capacity and Condition of School, Year YYYY SE21 Literacy Rate of Population 5 Years and Over by Gender SE22 Historical Enrollment for the Last Three School Years by Level SE23 Classroom and Teacher Needs per Barangay SE24 Tertiary and Vocational/Technical Schools by Enrollees and Courses Offered, Year YYYY SE25 Highest Educational Attainment of Population 5 Years and Over, Year YYYY
	The Custodian of sector data are the District/Division offices of the Department of Education (DepEd)
	This is an example which describes how to get the attribute data for the Education CLUP Attribute Tables:
1	The DepEd District Supervisor is invited to the Briefing in CLUP Step 2.
2	The Local Chief Executive or the Municipal Mayor issues a letter to the DepEd District Supervisor, encloses the forms of tables (in hard or soft copies depending on the computer proficiency level at the Education District Office) with a request to fill the forms accordingly.
3	The District Supervisor invites the Principals/Head Teachers/ Teachers in Charge (School Heads) to a meeting to inform them about the request and ask them to submit the data.
4	The Principals/Head Teachers/ Teachers In Charge (School Heads) go back to the schools and capture the data
	Spatial
	Designing the database includes identifying in the spatial data, what will be needed based on the requirements of the analysis; record the locations of the required feature objects, setting the study area boundary (the municipal area or a part of it). (Below is an example how to arrange the spatial data for the Education Sector):
	The object will be different types of schools: preparatory; elementary; secondary; tertiary for which a specific symbol is needed. A public school will have blue and a private school will have red color coding.
	The feature type will be a point. The location will be traced by a GPS. Use if possible one and same place for all schools, for example the flag pole or the main entrance to the school compound for the GPS reading.	SYMBOL for the school

	Pre-school
	A primary school or an elementary (which also can include a pre-school)
	A secondary school/high school (which also can include an elementary school)
	(Tertiary)
	Creating the database is a critical and time-consuming part of the activity. The completeness and accuracy of the data for use in analysis determines the accuracy of the results.
	Step 4: Analyze the Data
	Based on the defined indicators, different types of analysis can be performed. Analyzing data in a GIS ranges from simple mapping to creating complex spatial models. A model is a representation of reality used to simulate a process, predict an outcome, or analyze a problem.
	School Catchment Radius. The Planning Standard is:
	?? Km for a Preparatory School (Please refer to Volume 2)
	2 Km for a Primary School (Please refer to Volume 2)
	Existing or Projected School-going age group population in the Catchment Area Table BI12: Demography: Population Projection by Barangay, Year YYYY, is needed for that exercise. For the analysis below there are two alternatives to visualize: If the municipal policy is that each barangay should have one primary school, the barangay becomes the common denominator presented.	SYMBOL for the barangay
	School with a non-acceptable student-teacher ratio. The Planning Standard is
	1:?? for a Preparatory School (Please refer to Volume 2)
	1:?? for a Primary School (Please refer to Volume 2)
	School with a non-acceptable student-classroom ratio. The Planning Standard is:
	1:?? for a Preparatory School (Please refer to Volume 2)
	1:?? for a Primary School (Please refer to Volume 2)
	Physical Condition of School
	Critical. The condition is dangerous for the children; toilet and washroom facilities are not functioning and may cause the spread of diseases; lack of potable water;
	Poor: The general condition is problematic and causes disturbances for classes especially during the rainy season; the toilet and washrooms facilities are unsanitary
	Fair: Classes can be conducted without serious problems
	If the standard is not properly defined or the above is not valid (for example the barangay is so large so it results in unacceptable walking distances for the pupils), a circle buffer will be indicated, seet example below.
	Step 5: Present the Data
	The final step is to present the results of the analysis. The final products should be effectively communicating the findings to the audience. In most cases, the results of the GIS analysis can best be shown on a map. Charts and reports of selected data are two other ways of presenting the results. Charts and reports can be printed separately, be embedded in the CLUP narrative text or be placed on a map.
	Example below shows the Education Analysis layers put on top of the Base Map:
	The education analysis layers will be put on top of the Base Map. As recommended in Volume 2, it is overlaid with the population density map to show distribution of schools with respect to the number of people residing within an area:

	Next is to display the problems faced by these school and overlay them on the base map to make it more easy to read and focus on the problem of each schools:

	Once the school conditions are analyzed with respect to location, this should be overlaid with the population density map to relate it with the population distribution. The illustration below not only shows what and where the problematic schools are but will also be useful in determining classroom-teacher needs.

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4.06.04 Socio-Economic: Protection


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	Major policies and programs against crimes and violence include official policy against domestic violence, crime and weapon control prevention policy and victims of violence assistance programs. The objective is to use GIS to display the crime situation in the municipality/city and the constraints to combat crime that exist today. This information will be used in Step 4 (see Volume 1….) The users of this data are: LGU staff, officials and the general public. The protection information products can be used by the local Philippine National Police. The final product of this activity will be digital maps showing the location, type and frequency of crimes in relation to the distance, condition and manpower of the police precincts and barangay outposts.
	Step 2: Identify the Indicators to Evaluate Objective Fulfillment
	Existence of areas considered as inaccessible to the police or considered by the public to be dangerous or unsafe. Below are examples of indicators that can be used in analyzing the provisions of protective services: Ideal Police-to-Population ratio 1 : 500 Minimum Standard Police-to-Population ratio 1 : 1000 And higher for urban areas (Sec 27 of RA 6975 DILG Act) For Jail Protection, a jailhouse should be established. (Chapter V, Sec 62-63 of RA 6975) Source: Volume II : Social Sector (HLURB Guidelines) Additional Standards from Guidelines At the city/municipal level, there shall be a PNP station, each headed by a chief of police. There shall be established and maintained in every district, city and municipality a secured, clean, adequately equipped and sanitary jail for the custody and safekeeping of city and municipal prisoners. The jail bureau shall be composed of city and municipal jail, each headed by a city or municipal jail warden; Provided that, in the case of large cities and municipalities, a district jail with subordinate jails headed by a district jail warden maybe established as necessary. Source: Annex V (Sectoral Standards) of Volume V : Land Use (HLURB Guidelines)
	Step 3: Create the Database
	Attribute
	The following attribute tables may be used for this sector. Those in bold are used for the examples SE26 Police Station Manpower and Condition, Year YYYY SE27 Barangay Tanod by Type, Capacity and Condition; Year YYYY SE28 Jail Capability and Condition, Year YYYY SE30 Crime Incidence for the Past Five Years by Type of Crime and Gender of the Offender, Year YYYY
	The Custodian of sector data is the Local Philippine National Police (PNP) station
	Spatial
	Location of crime (point)	symbol
	Location of precincts (point)	symbol
	Step 4: Analyze the Data
	Manpower and location of precincts would be a security concern for most LGUs especially the 4th – 6th class LGUs. For these towns/cities, the police station will most likely to be situated in the urban areas where the possibility of insurgents hiding within the inaccessible territories is high.
	The following Analyses layers can be prepared based on the Baseline Information:
	Risks
	Area/place with a high frequency of crime ( polygon)	symbol
	Physical Condition of police station
	Critical. The condition of buildings, equipment, vehicles is insufficient and/or so poor so that the police cannot service the catchment area sufficiently.
	Poor: The condition of buildings, equipment, vehicles is fast deteriorating so it is likely that the police cannot service the catchment area sufficiently within the planning period.
	Fair: Police services can be conducted without any serious constraints.
	Step 5: Present the Data
	No standardized symbology for criminal offenses is found so far in the Philippines. The photo below shows a map and a legend from a local police station. The given GIS example shows how violent offenses can be symbolized according to the crime committed:

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4.06.05 Socio-economic: Religion


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	The Philippines can claim its uniqueness as the only Christian country in Asia because over 90% of the population is Christian. From the figure of over 90%, 83% of these are Roman Catholics, 9% are Protestants, 5% are Muslims while the remaining 3% are Buddhists or belong to other religion groups. Places of worship also serve as a sanctuary to people. Whenever calamities or trouble occur, these places will be one of the first places that people will converge to, especially in highly rural barangays. In highly urbanized areas, these places would probably be areas of traffic congestion especially for large gatherings like masses on Sundays.
	The Objective of this analysis is to present the data of Places of Worship. Location of Memorial Parks may also be presented if the LGU feels the need for this particular data.
	Step 2: Identify the Indicators to Evaluate Objective Fulfillment
	There are no indicators for this IP.
	Step 3: Create the Database
	Attributes
	The following attribute tables may be used for this sector. Those in bold are used for the examples here. SE32 Places of Worship, Year YYYY SE33 Cemeteries and Memorial Parks, Year YYYY
	The Custodians of sector data are the NSO, HLURB and LGU for cemeteries and memorial parks. Occupancy of these sites should be gathered directly from the memorial parks administrative offices.
	The following steps need to be taken to get access the data:
1	NSO has data on Household Population by Religious Affiliation in their published household and demography data.
	Spatial
	The feature type for the religious institutions will be points and the location will be traced by a GPS/primary survey/secondary source. Use if possible one and same place for all (service), for example the entrance of the sacred edifice for the GPS reading.	SYMBOL for the (service)
	Photo showing an example of the spot for GPS reading (if needed)
	Religious institutions will have a point feature and the burial grounds should preferably be presented as a polygon with the same symbol that is used for the institution. Use ESRI US MVTCD3 palette
	Church
	Mosque
	Hindu temple
	Buddhist temple (Pagoda)
	Synagogue
	Other
	Step 4: Analyze the Data
	There is no analysis required.
	Step 5: Present the Data
	The Religion analysis layers will be put on top of the Base Map as shown below.

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4.06.06 Socio-Economic: Recreation


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	Areas for recreation follow a hierarchy of functions. At the city/ municipal level, the town square or plaza is at the top of the hierarchy. The town plaza should be a factor in establishing the image of the town. Central urban functions may be located around the town plaza. Lower order parks should be planned in conjunction with neighborhood and community centers. Lower-end open spaces include barangay parks, neighborhood parks, vest-pocket parks, and tot lots (children’s play areas). A system of functional open spaces is an important element of the CLUP. Functional open spaces are areas that are deliberately kept in their open character for their contribution toward maintaining the amenity value of the environment. If sufficiently vegetated, open spaces perform ecological services as carbon sink and contribute to rainwater infiltration and aquifer recharge. They also offer opportunities for free recreation for the local residents. At the same time they can serve as protection buffers around hazardous areas and installations. The objective of the GIS analysis is to find out which barangays require recreation areas or additional recreation areas.
	Step 2: Identify the Indicators to Evaluate Objective Fulfillment
	Define Planning Standards for accessibility, service provision/consumer ratio, consumer/housed service, physical condition of features, etc. (refer to volume 2)
	Set of standards is found in Annex 2 (Page 14 of the Sports and Recreation) of Volume II – Social Sector of HLURB Guidelines Sector Standards Minimum of 500 square merters per 1000 population per city and municipal park Minimum of 0.5 hectare per 1000 population for playfield/athletic field Source : Annex V of Volume V – Land Use of HLURB Guidelines
	Step 3: Create the Database
	Attributes
	The following attribute tables may be used for this sector. The bold table is used for the example: SE34 Sports and Recreation Facilities by Type and Ownership and Condition SE35 Potential Recreation Facility
	The Custodian of sector data is the LGU.
	Spatial
	The feature type will be a point. The location will be determined through primary survey using a GPS. Use if possible one and same place for all the areas (service).	SYMBOL for the Recreation
	Photo showing the spot for GPS reading (if needed)
	Basketball Courts
	Step 4: Analyze the Data
	Refer to Volume 2 for further analysis.
	Step 5: Present the Data

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4.06.07 Socio-Economic: Social Welfare

	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	The objective of the GIS analysis is to assess the needs of the barangays in terms of day care centers.
	Step 2: Identify the Indicators to Evaluate Objective Fulfillment
	Define Planning Standards for accessibility, service provision/consumer ratio, consumer/housed service, physical condition of buildings and plot, etc –(refer to Volume 2)
	Day Care (RA 6972 “An Act Establishing Day Care Center in Every Barangay): one day care for every 500 Families, or one day care center per barangay per RA 6972 (Sec.2) 2 sq. m. per 3 child indoor 1 sq. m. per child outdoor Senior Citizen (RA 7876 “An Act Establishing A Senior Citizen Center in All Cities and Municipalities of the Philippines and Appropriate Funds): Minimum area of 500 sq m for Senior Citizen Care Center Source: Social Welfare of Volume II – Social Sector of HLURB Guidelines Annex V of Volume V – Land Use of HLURB Guidelines
	Step 3: Create the Database
	Attributes
	The following attribute tables may be used for this sector. Those in bold are used for the examples SE36 Facility by Type and Services and Condition SE37 Disadvantaged Persons by Barangay
	Day Care Centers
	Step 4: Analyze the DataBarangay with no Day Care Centers
	Step 5: Present the Data
	Show the Day Care Centers overlaid with the Base Map.

	Show the Barangays without any Day Care Centers which are not complying with RA 6972

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4.06.08 Socio-Economic: Commerce

Step 1: Provide a Background and Identify the Objectives of the GIS Analysis

The types of commercial areas, major types of business or trade and other commercial support facilities established in municipalities/cities depend largely on the locality’s level of development and the presence of opportunities and incentives for the establishment of businesses that are largely private sector led.

Chapter 4.18.02 shows an example of how a licensing system can be integrated with GIS so that it will be both useful for the planning and business licensing office.

The objective is to create a database of all establishments given a business permit in the municipality. The output will be spatial database showing the location of those granted permits together with the corresponding attributes

Step 2: Identify the Indicators to Evaluate Trends of Commercial Activity

Classify commercial industries according to Philippine Standard Industrial Classification (PSIC)
Major Divisions:

MAJOR PSIC CLASSIFICATION*	PSIC MAJOR DIVISIONS	ECONOMIC ACTIVITIES
Tertiary (Service)	Division G.	Wholesale and Retail trade, repair of motor vehicles, motorcycles and personal and household goods
	Division H.	Hotels and Restaurants
	Division I.	Transport, Storage and Communication
	Division J.	Financial Intermediation
	Division K.	Real Estate, Renting and Business Activities
	Division L.	Public Administration and Defense; Compulsory Social Security
	Division M.	Education
	Division N.	Health and Social Work
	Division O.	Other Community, Social and Personal Service activities
	Division P.	Private Household with Employed Persons
	Division Q.	Extra-Territorial Organizations and Bodies
* Philippine Standard Industrial Classification from NSCB

Step 3: Create the Database

Attributes

The following attribute tables may be used for this sector. Those in bold are used for the examples here.

SE38 Business Permit per Year
SE49 Summary of Tertiary Economic Activities by Employment, Volume of Products
SE50 Business Permits Granted for the Past Five Years
SE51 Local Revenue Derived from Economic Activities for the Past Five Years

Spatial

Location of Tertiary Economic Activities can be plotted on the map through GPS Survey. Likewise, it will be more informative if overlaid with an aerial photograph.

Financial Intermediation

Health and Social Work

Hotels and Restaurants

Other Community, Social and Personal Service Activity

Real Estate, Renting and Business Activities

Wholesale and Retail Trade, Repair of Motor Vehicles, Motorcycle and Personal and Household Goods

Step 4: Analyze the Data

Analysis is shown below

Step 5: Present the Data

The map below shows location of businesses issued permits.

Next map shows the dominant Business Type

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4.06.09 Socio-Economic: Industry


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	An industrial area is a site where people go to work and goods are produced. Thus, it contributes to the revenue of the municipality where it is situated. However, it is also a site that often has negative influence on the environment. Some industries pollute air and water; some disturb because of noise; others demand a lot of space, or, their presence aesthetically deteriorates the neighborhood. A prerequisite for dealing with and/or analyzing these factors are: a map showing the location of industries, together with good attribute data. The objective of this information product is to present an inventory of industries. The inventory will also be a starting point when looking into new locations or expansion areas for existing and/or new industries in the future.
	Step 2: Identify the Indicators to be Used
	The industries can be classified in different ways. For an inventory within the CLUP an easy classification based on the hazard and pollution potential should be used. Hazardous industries constitute fire and health hazards, i.e. their wastes have large amounts of combustible and toxic materials. Pollutive industries discharge large amounts of air, water and solid pollutants. The classification categories are: Light Industry: non-pollutive and non-hazardous or hazardous Medium Industry: pollutive and non-hazardous or hazardous Heavy Industry: highly pollutive or highly hazardous
	Step 3: Create the Database
	Attributes
	The following attribute tables may be used for this sector (the one in bold font is used in the example). SE39 Industry SE48 Summary of Secondary Economic Activities by Employment, Volume of Products
	Spatial
	The feature type will be points.
	The industrial types can have the following symbols:
	Light Industry
	Medium Industry
	Heavy Industry
	Step 4: Analyze the Data
	There is no analysis presented in this Information Product. As stated in step 1, this IP is an inventory and can be a first step in an analysis of new locations of industries. The industry layer could also be advantageous to use in other planning aspects, e.g. buffer zones around heavy industries can act as a buffer for communities and to prevent encroachment of residential areas in the vicinity.
	Step 5: Present the Data
	This map presents an inventory of the industries within the municipality. The different types are shown with different symbols.

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4.06.10 Socio-Economic: Tourism


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	Tourism enhances the municipality’s economic development. It is therefore important for municipalities/cities with tourism potentials to properly plan and manage these areas. They should be planned in terms of accessibility and provision of facilities/amenities so that tourists can be attracted to go and enjoy these places of interest. It is also necessary that municipal planners consider the carrying capacity of these tourism areas in order to ensure sustainability. The objective of this baseline is to display existing and planned tourist amenities so that conflicts with other land uses can be determined and the appropriate interventions can be planned at the later stage of the planning process.
	Step 2: Identify the Indicators to Evaluate Objective Fulfillment
	Indicators and planning standards can be found in Volume 2 of the CLUP Guidelines, such as: There should be a minimum of 10-meter buffer zone, along the entire perimeter of each of the clusters or tourism zones, and around the proposed golf course sites; A mandatory beachfront easement along all coastal areas shall be defined at 30 meters from the edge of the beach zone inland perpendicular to the coastline.
	Step 3: Create the Database
	Attribute
	The following attribute tables may be used for this sector. Those in bold are used for the examples SE40 Tourism Attraction SE41 Tourism Accommodation
	The Custodian of the sector data is the LGU.
	Spatial
	The objects below will be a point or polygon features and GPS will be used to map the location.
	The object will be tourism areas, in most cases a polygon
	The object will be tourism accommodations, a point feature
	Step 4: Analyze the Data
	The location of proposed tourism areas will be overlaid with the Land Use to determine if there are conflicting uses or compatible ones. For example, tourism areas should be located away from causes of disturbance and pollution like industrial areas).

	The location of other facilities with respect to the locations of Proposed Tourist area will be analyzed
	Restaurants
	Fastfood
	Transport Terminal
	Mall
	Parks

	The locations of required utilities with respect to the locations of Proposed Tourism area can also be analyzed
	Groundwater Source

	Step 5: Present the Data
	The location of the accommodations and tourist attractions is overlaid with the base map.

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4.06.11 Socio-Economic: Agriculture


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	The agriculture sector should support the municipality/city in providing food. The more effective the agriculture program, the more self-supportive is the municipality/city. Long distance transportation of produce is also avoided when food is locally produced, and this is an environmental benefit. On the other hand, reforms in the agricultural sector tend to lead to a diminishing number of workers needed and the use of more advanced biocides and fertilizers. The former tendency will encourage urbanization while the latter will negatively affect the environment. The objective of the GIS analysis should be to present an inventory of the different land uses within the agricultural sector. The inventory also serves as background data to determine if there is enough agricultural land sustainable for food production, to determine the types of crops, livestock, poultry and fisheries and other farm support facilities, and, to determine the location of the irrigated agricultural lands. Based on the suggested data tables, this presentation will also assist the planner to present and monitor agricultural land under different restrictions/programs. Refer to the information product ‘4.09.04 SAFDZ’ that presents prime agricultural areas.
	Step 2: Identify the Indicators of Agriculture Production
	Indicators of the municipality’s capacity to support itself in agricultural production are shown in the food requirement table below. (Table from HLURB Guidelines Volume III – Economic Sector.) Per Capita Dietary/Food Requirement
	Step 3: Create the Database
	Attributes
	There are four tables of socio-economic information to prepare for Step 4. There is also a project management table for projects within the agricultural sector and an infrastructure table for irrigation systems, which add value to the agricultural analysis. SE42 Crop Production, Year SE43 Livestock and Poultry Production, Year SE44 Fishing Grounds and Aquaculture Production, Year SE45 Support Facilities and Services, Year PM04 Projects Approved or Funded for Implementation within the Agriculture Sector IS15 Irrigation Systems
	Spatial
	The feature types of the above mentioned datasets are polygons, points (SE45, PM04) and polylines (IS15). If available, it is recommended that an aerial photo is used as backdrop to facilitate the digitizing of the polygons.
	The following layers are prepared:
	Agricultural areas for crop production
	Agricultural areas for livestock and poultry production
	Fishing grounds and aquaculture production
	Support facilities and services: Milling Cold storage Multipurpose drying Pavement Reefer vans Market center Warehouse Other	Symbol
	Projects approved or funded within the agricultural sector
	Irrigation system -private -public	- - - - - - - - - - - - - -
	Step 4: Analyze the Data
	Within this information product, no further analysis will be done except the resulting map. However, starting from this IP, several analyses can be performed. For example, if the data collected on volume and value of crop and livestock production is consistent and of fair quality, a land revenue analysis can be undertaken. The value of the crop/production revenue is divided by the size of the actual area. A new ‘revenue’ layer will present the result using a color scale.
	Step 5: Present the Data
	Map presenting agricultural land uses (crop and livestock production), irrigation systems, fishing grounds, support facilities, irrigation systems and agricultural projects that are approved or funded for implementation.

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4.06.12 Socio-Economic: Forestry


	Step 1: Provide a Background and Identify the Objectives of the GIS Analysis
	Forestlands are those lands of the public domain that have been classified as such and declared as needed for forestry purposes. Forestlands are areas which inherently produce more benefits and give better service than when converted to agricultural lands or other uses, such that, those lands are not be titled. Forestlands include Production and Protection Forestlands. After land classification has been done, they are then subdivided into these two categories. The delineation is done by FMB and NAMRIA. Once this is done, those classified as Production Forests can be given management rights to qualified groups. Production forests are forestlands managed primarily for the production of timber and other tree products. Permits are issued for the use of these areas. A number of tenurial permits are available for the use of these production forests. These are as follows: TLA - Timber License Agreement IFMA - Integrated Forest Management Agreement CBFMA - Community-based Forest Management Agreement FLGMA - Forest Land Grazing Management Agreement SLUP - Special Land Uses Permit PLTP - Private Land Timber Permit CADC - Certificate of Ancestral Domain WPP - Wood Processing Plant Contract RCC - Rattan-Cutting Contract OMP - Ordinary Minor Forest Products Permit The DENR’s Forest Management Bureau grants these permits for production forests. Key to this concept of production and protection is sustainable development. The objective is to show the areas for production and protection for Forest Land.
	Step 2: Identify the Indicators to Evaluate Objective Fulfillment
	Permits issued are indicators of Forest production.
	Step 3: Create the Database
	Attributes
	The custodian of the sector data are the Forest Management Bureau, NAMRIA and PAWB.
	The following attribute table was used for this sector. SE46 Forestry Production
	Spatial
	As of the moment, there are very few data available for areas identified for forest production. Though there are a number of permits issued, delineation and identification of forest for production and protection is still being carried out by FMB and NAMRIA. It may also be not possible to acquire exact areas for production forests which are already granted permits, for security against illegal logging.
	Step 4: Analyze the Data
	There is no analysis to be done.
	Step 5: Present the DataAn example of forest land is taken from a Land Classification Map. It is within this forest land that protection and production forest will be determined.

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