DDI_PHL_2008_CrPS_v01_M
Lorna V. Gabito
Accelerated Data Program
2009-08-31
NADA
Version 01: Adopted from "DDI_PHL_2008_CrPS_v01_M" DDI that was done by metadata producers mentioned in "Metadata Production" section.
Crops Production Survey 2008
CrPS 2008
PHL_2008_CrPS_v01_M
Bureau of Agricultural Statistics
Regional Field Units
Bureau of Plant Industry
Sugar Regulatory Administration
Philippine Coconut Authority
National Tobacco Administration
Fiber Development Authority
Cotton Development Administration
Copyright 2008 © Bureau of Agricultural Statistics, All rights reserved.
NADA
Bureau of Agricultural Statistics
Department of Agriculture-Ginintuang Masaganang Agrikultura-High Value Commercial Crops
Division Chief, Crops Statistics Division
Agricultural Survey [ag/oth]
In the 1970s and 1980s, data collection for other crops was done simultaneously with the regular Rice and Corn Survey (RCS). The sample respondents of the RCS were also asked on basic production information on other crops grown. The estimation followed that of rice and corn.
From 1980 to 1985, the then Bureau of Agricultural Economics (BAEcon) field staff and Agricultural Technicians (ATs) detailed with the BAEcon under the Regional Agricultural Data Delivery System - Ministry of Agriculture Integrated Management Information System (RADDS-MAIMIS) project were responsible for data collection. At that time, estimation of area and production was based on indicators such as average size of farms and number of growers. Reporting forms were not standardized. Provincial estimates for area and production for all crops were submitted on semi-annual basis for consolidation at BAEcon Central Office. Data were disaggregated at the regional level.
'In 1987 under Executive Order No. 116 when BAS assumed the mandate as principal agency responsible for Agricultural Statistics, replacing BAEcon, some improvements have been introduced on data collection. A separate data collection system for other crops was established. A three-stage sampling design was employed with the top 5 producing municipalities as the primary sampling units (psu), the top 5 producing barangays as the secondary sampling units (ssu) and 5 farmer- producers as the ultimate sampling units (usu). The results were supplemented and validated with data from other agencies. In this system, the provincial offices submitted estimates of the percent changes in area, production and total number of trees. Production estimates of about 20 major crops and 9 additional priority crops were computed quarterly. Production of the rest of the crops including area and bearing trees was estimated on a semi-annual basis.'
In 1989, only the provinces with a combined contribution of 80 percent to the total production of the major crops during the last three years were required to submit the Quarterly Report on Production (QRP). This system of reporting was implemented until 1999 when all provinces were required to submit the QRP. This requirement was an improvement since even the minor provinces could make significant differences in the estimates. Data management at the Central was also improved.
Starting in 2000, the quarterly report on production is based on the results of the Crops Production Survey (CrPS), a sample survey of farmer-producers, The CrPS is conducted quarterly to generate production estimates for crops other than the cereals. It generates estimates with national, regional and provincial levels disaggregation.
Data on crops with specialized government agencies such as sugar, fiber, cotton, coconut and tobacco were supplemented and validated with data from these agencies.
A total of 228 crops covered by the CrPS, the individual estimates of the 19 highlighted items in the Quarterly Report on the Production in Agriculture are released at the national level while the rest are lumped as Other Crops. Provincial level estimates are available on an annual basis.
The survey aims to support the data needs of planners, policy and decision makers and stakeholders in the agricultural sector, and to provide periodic updates on crop related developments.
Version 2.0 edited at Operations Centers, not anonymized
version 2.0 edited at Operations Centers not anonymized
v2.1 Edited at C.O. for preliminary report. This is the initial provincial report for the current quarter where the last month of the quarter is a forecast.
v2.2 Edited at C.O. for final report. This is the provincial report for the completed previous quarter.
small farms
perennial crops
temporary crops
multi-harvest crops
mono-harvest crops
bearing trees/hectare
bearing hills/hectare
kilograms/bearing tree
kilograms/hectare
Food (production, crisis)
The CrPS is conducted quarterly to generate production estimates for crops other than cereals at the national, regional and provincial levels.
Of the 230 crops covered, the individual estimates of the 19 crops highlighted in the Quarterly Report on the Production in Agriculture are released at the national level while the rest were lumped as Other Crops. Provincial level estimates are available on an annual basis.
The survey aims to support the data needs of planners, policy and decision makers and other stakeholders in the agricultural sector, and to provide periodic updates on crop related developments.
The survey adopts two-stage sampling with the municipality as the primary sampling unit and the households as the secondary sampling unit.
Philippines
Provinces covered for Crops Production Survey are the following:
CAR:
Abra
Apayao
Benguet
Ifugao
Kalinga
Mt. Province
ILOCOS REGION:
Ilocos Norte
Ilocos Sur
La Union
Pangasinan
CAGAYAN VALLEY:
Cagayan
Isabela
Nueva Vizcaya
Quirino
CENTRAL LUZON:
Aurora
Bataan
Bulacan
Nueva Ecija
Pampanga
Tarlac
Zambales
CALABARZON:
Batangas
Cavite
Laguna
Quezon
Rizal
MIMAROPA:
Marinduque
Mindoro Occidental
Mindoro Oriental
Palawan
Romblon
BICOL:
Albay
Camarines Norte
Camarines Sur
Catanduanes
Masbate
Sorsogon
WESTERN VISAYAS:
Aklan
Antique
Capiz
Guimaras
Iloilo
Negros Occidental
CENTRAL VISAYAS:
Bohol
Cebu
Negros Oriental
Siquijor
EASTERN VISAYAS:
Biliran
Eastern Samar
Leyte
Northern Samar
Southern Leyte
Samar
ZAMBOANGA PENINSULA:
Zamboanga City
Zamboanga del Norte
Zamboanga del Sur
Zamboanga Sibugay
NORTHERN MINDANAO:
Bukidnon
Camiguin
Lanao del Norte
Misamis Occidental
Misamis Oriental
DAVAO REGION:
Compostela Valley
Davao City
Davao Norte
Davao Oriental
Davao del Sur
SOCCSKSARGEN:
North Cotabato
Saranggani
South Cotabato
Sultan Kudarat
CARAGA:
Agusan del Norte
Agusan del Sur
Surigao del Norte
Surigao del Sur
ARMM:
Basilan
Lanao Del Sur
Maguindanao
Sulu
Tawi-Tawi
The lowest level of geographic disaggregation is the municipality.
An agricultural production-related survey with a household-level questionnaire which would have provincial unit of analysis.
The survey covers all small farm producers and plantation farms of all agricultural crops, other than palay and corn, nationwide.
Sample survey data [ssd]
The scope of the study includes: for temporary crops other than palay and corn, volume of production and area harvested; for permanent crops, volume of production, area planted and number of bearing trees.
Bureau of Agricultural Statistics - Provincial Operations Centers
Sugar Regulatory Administration
Philippine Coconut Authority
National Tobacco Administration
Fiber Development Authority
Cotton Development Administration
The survey employs two-stage sampling design with municipality as the primary sampling unit (psu) and farmer-producer as the secondary sampling unit (ssu).
Farms are classified as small farms and plantation farms. For small farms, crops are classified based on coverage of the Farm Price Survey, e.i. Farm Price Survey and non-Farm Price Survey. For crops under Farm Price Survey, the top five producing municipalities based on the volume of production were chosen as psu. In each municipality, five sample farmer-producers as ssu were enumerated.
For small farms of all other crops not covered under Farm Price Survey, top two to three producing municipalities were chosen as psus. In each municipality, three sample farmer-producers as ssu were enumerated.
This scheme is applied to each of the crops being covered every survey round. It is possible for a farmer-producer to be a respondent for several crops, which he plants and harvests during the reference quarter.
Classification for plantation farms is based on the cut-off on area planted. Each survey round covers a maximum of 5 plantations by crop.
The above scheme was adopted since 2005 to date.
The sampling design for CrPS has undergone several changes. In 1988 until 2000, the survey adopted three stage sampling or 5x5x5. This is intended to represent the five (5) municipalities as the primary sampling unit, five barangays as the secondary sampling unit and five (5) households as the ultimate sampling unit. In May 2000, a two stage sampling was adopted with the five (5) top producing municipalities as the primary sampling unit and five farmers-producers as the secondary sampling unit.
For coconut, the sampling procedure was in collaboration with the PCA which was developed in 1996. The Bureau was responsible for the survey methodology and data processing while the PCA was responsible for the data collection.
A three-stage sampling is being employed. The domain of the survey is the municipality, classified as coastal flat, coastal upland, inland flat, and inland upland. The barangays, also classified according to the classification used for the municipalities, serve as the first stage. The second stage is the two coconut farmers from each sample barangay drawn using simple random sampling. The third stage is the 10 sample coconut trees lying along the longest diagonal line bisecting the parcel. The sampling design cut across the small and plantation farms and remain the same until the frame is updated or the sampling design is changed.
The survey was piloted in Davao Region provinces which started on the fourth quarter of 1996. This was replicated in the Western Visayas provinces in the first quarter of the following year. The provinces in the rest of the regions conducted this survey beginning in June 1997. The PASOs and the Provincial Coconut Development Managers jointly validate the results. The PASOs forward the result to the region for further joint review by the RASOs and the Regional Managers.
Face-to-face [f2f]
The title of the questionnaire is Crops Production Survey, and is in the English language. This captures production, area, and bearing trees for the current quarter and last year same period. A remaks column is also provided for the explanation on the changes this year versus last year.
The questionnaire also serves as summary worksheet for the small farms and plantation farms and provinvial summary.
The instrument is a one-page questionnaire which could accommodate as many as five crops. The number of sheets may vary depending on the number of crops covered in the province.
For crops covered by specialized agencies of the government, the scheme varies. For sugarcane, the data for centrifugal sugar in ton canes are obtained from the Sugar Regulatory Administration (SRA). These are from the reports of sugar mills operating in the country. The BAS Operations Centers collect data on production of canes for chewing, basi and muscovado through the quarterly Crop Production Survey. These two data sets are incorporated to account for the production of sugarcane.
In the case of fiber crops, the national total is the summary comprising the data from both the Fiber Industry Development Authority (FIDA) and BAS. Data of FIDA are from the baling stations while the data of provinces with no baling stations are derived from the Crop Production Survey of the BAS. Data from FIDA also serves as check data.
For cotton, the Cotton Development Administration (CODA) provides the bureau with data from their monitoring system. This includes the 10 CODA monitored provinces which are also covered in the BAS Crop Production Survey. CODA data serves as check data during data validation. Meanwhile, for coconut, the data is a product of the reconciled data of the Quarterly Coconut Production Survey (QCPS), a joint undertaking with the Philippine Coconut Authority (PCA) and Crop Production Survey of BAS.
For tobacco, data is obtained from the Crop Production Survey of the BAS. In the review and analysis of data, the National Tobacco Administration (NTA) is consulted and provides auxiliary information, which serves as inputs for data checking.
The CrPS data collection is conducted at the last ten days of the second month of the quarter. The estimates generated for the current quarter is preliminary and final data for the previous quarter.
During the data collection, the RASO is responsible for the monitoring and supervision of the activities of all provinces within the region. He/she reports the progress of the survey to the Director and Assistant Director through the Statistical Operations Coordination Division (SOCD) chief.
The overall supervisor in the province is the PASO. The Assistant PASO, aside from his/her assignment as assistant supervisor in the province, may be given a specific area of supervision by the PASO. Like the Assistant PASO, the Officer-In-Charge PASOs have also specific area of supervision.
The RASOs and PASOs conduct personal supervision and backchecking. While doing so, they also conduct their own observation to strengthen and enhance the regional and provincial estimates. Personal supervision is done by accompanying the field staff during the data collection. While the backchecking calls for the PASOs to visit the collection areas where he/she has not accompanied the field staff during the data collection. In most cases, backchecking involves asking some sample respondents on the information asked during the data collection proper, getting the patterns and trends on the levels of data of a commodity and interviewing the Barangay Chairman or its officers if the field staff has indeed visited the area during the period.
Responses on actual levels from the respondents are summarized and the overall change at the provincial level is estimated for each crop separately for plantations and for small farms. The overall percent change for the province accounts for both plantations and small farms and are computed based on their relative contributions of area planted in the province. These levels of contribution are discussed, reviewed and validated by the Provincial Agriculture Statistics Officers (PASOs) and their staff based on their best judgment and assessment. The survey result when the data collection for these crops was simultaneously conducted with the Rice and Corn Survey in 1970s and 1980s served as the benchmark level.
Editing is done in four stages during the data review. The initial stage is at the collection point while with the respondent. This starts with the completeness and correctness of the entries in the answer grid. The yield per unit area, or kilograms per bearing tree and planting density were computed and verified with the respondents when these are out of range. The range varies by crop and reference period. The farmer-respondents are asked on the climatic condition a quarter ago up to the prevailing quarter and explanations on the change in the level against the same period a year ago. During the Provincial Data Review, Regional Data Review and National Data Review, data editing is done after encoding and data transfer from one form or system to another during the generation of estimates.
Not estimated.
The estimates are subjected to three levels of data review and validation. These are the Provincial Data Review (PDR), Regional Data Review (RDR) and National Data Review (NDR).
Accross all data validation levels, a set of parameters is being used as guideposts and the available data from other agencies.
The existing indicators also accounts for the situation in the province. At the RDR, the data is assessed to reflect the situation of the region and the levels in comparison between and among the provinces in the region. At the NDR, the data are validated in comparison to national level data and the data between and among the regions.
To some extent and for valid reasons, this involves adjustment of the levels of the data generated.
The Bureau of Agricultural Statistics (BAS) strictly observes the confidentiality of data. As stated in the BAS' survey questionnaires and the forms relevant to the conduct of any statistical inquiry, data provided by the respondents shall be used solely for statistical purposes.
Director
As specified in the agreement under access conditions, users are required to cite the source of data in accordance with the citation requirement provided with the dataset. The citation requirement for this study is as follows:
"Bureau of Agricultural Statistics, Crops Production Survey, Version 2.0 of the licensed dataset 2008, provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
The datasets of this study are categorized under licensed files. Access to licensed datasets is through request and is only granted to Data Users/Researchers with a legally registered sponsoring agency (university, company, research centre, national or international organization, etc.).
The Data Users/Researchers must agree to comply with the following:
1.Fill up a Data Access Agreement that will be provided.
2.Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3.The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4.The dataset must not be made to match with other datasets.
5.The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6.The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7.Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8.If there are any changes or additional requirements in the orginal request, the Data User/Researcher must apply for another request.
9.Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
The data users/researchers acknowledge that the BAS and the agency funding the study bear no liabilities and responsibilities for any particular, indirect, or consequential damages or any damages, whatsoever resulting from loss of use, or of data in connection with the use or for interpretations or inferences based upon such uses.
Crops Production, Area and Bearing Trees
The file contains volume of production in metric tons by quarter, area in hectares and bearing trees,seme-annually disaggregated by region and province.
0
16
Region
Region
Region
Region
Region
Region
This shall be filled-up before going to the field for data collection. Enter the name of the Region where data collection shall be done.
all regions nationwide
1
Ilocos
2
Cagayan Valley
3
Central Luzon
4
CALABARZON
5
Bicol
6
Western Visayas
7
Central Visayas
8
Eastern Visayas
9
Zamboanga Peninsula
10
Northern Mindanao
11
Davao Region
12
SOCCSKSARGEN
14
Cordillera Administrative Region
15
Autonomous Region in Muslim Mindanao
16
Caraga
17
MIMAROPA
Province
Province
Province
Province
Province
Province
This shall be filled-up before going to the field for data collection. Enter the name of the Province where data collection shall be done.
This worksheet could be used as 1) collection form and as 2) provincial summary.
all provinces in all regions nationwide
128
Ilocos Norte
129
Ilocos Sur
133
La Union
155
Pangasinan
209
Batanes
215
Cagayan
231
Isabela
250
Nueva Vizcaya
257
Quirino
308
Bataan
314
Bulacan
349
Nueva Ecija
354
Pampanga
369
Tarlac
371
Zambales
377
Aurora
410
Batangas
421
Cavite
434
Laguna
456
Quezon
458
Rizal
505
Albay
516
Camarines Norte
517
Camarines Sur
520
Catanduanes
541
Masbate
562
Sorsogon
604
Aklan
606
Antique
619
Capiz
630
Iloilo
645
Negros Occidental
679
Guimaras
712
Bohol
722
Cebu
746
Negros Oriental
761
Siquijor
826
Eastern Samar
837
Leyte
848
Northern Samar
860
Samar (Western)
864
Southern Leyte
878
Biliran
972
Zamboanga del Norte
973
Zamboanga del Sur
983
Zamboanga Sibugay
986
Zamboanga City
1013
Bukidnon
1018
Camiguin
1035
Lanao del Norte
1042
Misamis Occidental
1043
Misamis Oriental
1123
Davao Del Norte
1124
Davao Del Sur
1125
Davao Oriental
1182
Compostela Valley
1187
Davao City
1247
North Cotabato
1263
South Cotabato
1265
Sultan Kudarat
1280
Saranggani
1298
Cotabato City
1339
Manila
1374
Second District (NCR)
1375
Third District (NCR)
1376
Fourth District (NCR)
1401
Abra
1411
Benguet
1427
Ifugao
1432
Kalinga
1444
Mountain Province
1481
Apayao
1507
Basilan
1536
Lanao del Sur
1538
Maguindanao
1566
Sulu
1570
Tawi-Tawi
1602
Agusan del Norte
1603
Agusan del Sur
1667
Surigao del Norte
1668
Surigao del Sur
1740
Marinduque
1751
Occidental Mindoro
1752
Oriental Mindoro
1753
Palawan
1759
Romblon
Year
Year
Year
Year
Year
Year
This shall be filled-up before going to the field for data collection. Indicate the year of the reference period in the space provided.
This worksheet shall be used as 1) collection form and as 2) provincial summary.
Reporting Round
Reporting Round
Reporting Round
Reporting Round
Reporting Round
Reporting Round
This shall be filled-up before going to the field for data collection.
Indicate the reference period in the space provided. The first space shall be for the first reference month of the quarter/semester and the second space for the last reference month of the quarter/semester.
This worksheet shall be used as 1) collection form and as 2) provincial summary.
All months of the year grouped by three months
1
Quarter 1
2
Quarter 2
3
Quarter 3
4
Quarter 4
Quarter refers to reference period of the collected data where:
Quarter 1 covers from January-March
Quarter 2 covers from April-June
Quarter 3 covers from July-September
Quarter 4 covers from October-December
Municipality
Municipality
Municipality
Municipality
Municipality
Municipality
This shall be filled-up before going to the field for data collection. Enter the name of the Municipality where data collection shall be done.
This worksheet shall be used as 1) collection form and as 2) provincial summary.
All municipalities in the Philippines
12801
Adams
12802
Bacarra
12803
Badoc
12804
Bangui
12805
City Of Batac
12806
Burgos
12807
Carasi
12808
Currimao
12809
Dingras
12810
Dumalneg
12811
Banna (Espiritu)
12812
Laoag City (Capital)
12813
Marcos
12814
Nueva Era
12815
Pagudpud
12816
Paoay
12817
Pasuquin
12818
Piddig
12819
Pinili
12820
San Nicolas
12821
Sarrat
12822
Solsona
12823
Vintar
12901
Alilem
12902
Banayoyo
12903
Bantay
12904
Burgos
12905
Cabugao
12906
City Of Candon
12907
Caoayan
12908
Cervantes
12909
Galimuyod
12910
Gregorio Del Pilar (Concepcion)
12911
Lidlidda
12912
Magsingal
12913
Nagbukel
12914
Narvacan
12915
Quirino (Angkaki)
12916
Salcedo (Baugen)
12917
San Emilio
12918
San Esteban
12919
San Ildefonso
12920
San Juan (Lapog)
12921
San Vicente
12922
Santa
12923
Santa Catalina
12924
Santa Cruz
12925
Santa Lucia
12926
Santa Maria
12927
Santiago
12928
Santo Domingo
12929
Sigay
12930
Sinait
12931
Sugpon
12932
Suyo
12933
Tagudin
12934
City Of Vigan (Capital)
13301
Agoo
13302
Aringay
13303
Bacnotan
13304
Bagulin
13305
Balaoan
13306
Bangar
13307
Bauang
13308
Burgos
13309
Caba
13310
Luna
13311
Naguilian
13312
Pugo
13313
Rosario
13314
City Of San Fernando (Capital)
13315
San Gabriel
13316
San Juan
13317
Santo Tomas
13318
Santol
13319
Sudipen
13320
Tubao
15501
Agno
15502
Aguilar
15503
City Of Alaminos
15504
Alcala
15505
Anda
15506
Asingan
15507
Balungao
15508
Bani
15509
Basista
15510
Bautista
15511
Bayambang
15512
Binalonan
15513
Binmaley
15514
Bolinao
15515
Bugallon
15516
Burgos
15517
Calasiao
15518
Dagupan City
15519
Dasol
15520
Infanta
15521
Labrador
15522
Lingayen (Capital)
15523
Mabini
15524
Malasiqui
15525
Manaoag
15526
Mangaldan
15527
Mangatarem
15528
Mapandan
15529
Natividad
15530
Pozzorubio
15531
Rosales
15532
San Carlos City
15533
San Fabian
15534
San Jacinto
15535
San Manuel
15536
San Nicolas
15537
San Quintin
15538
Santa Barbara
15539
Santa Maria
15540
Santo Tomas
15541
Sison
15542
Sual
15543
Tayug
15544
Umingan
15545
Urbiztondo
15546
City Of Urdaneta
15547
Villasis
15548
Laoac
20901
Basco (Capital)
20902
Itbayat
20903
Ivana
20904
Mahatao
20905
Sabtang
20906
Uyugan
21501
Abulug
21502
Alcala
21503
Allacapan
21504
Amulung
21505
Aparri
21506
Baggao
21507
Ballesteros
21508
Buguey
21509
Calayan
21510
Camalaniugan
21511
Claveria
21512
Enrile
21513
Gattaran
21514
Gonzaga
21515
Iguig
21516
Lal-Lo
21517
Lasam
21518
Pamplona
21519
Peñablanca
21520
Piat
21521
Rizal
21522
Sanchez-Mira
21523
Santa Ana
21524
Santa Praxedes
21525
Santa Teresita
21526
Santo Niño (Faire)
21527
Solana
21528
Tuao
21529
Tuguegarao City (Capital)
23101
Alicia
23102
Angadanan
23103
Aurora
23104
Benito Soliven
23105
Burgos
23106
Cabagan
23107
Cabatuan
23108
City Of Cauayan
23109
Cordon
23110
Dinapigue
23111
Divilacan
23112
Echague
23113
Gamu
23114
Ilagan (Capital)
23115
Jones
23116
Luna
23117
Maconacon
23118
Delfin Albano (Magsaysay)
23119
Mallig
23120
Naguilian
23121
Palanan
23122
Quezon
23123
Quirino
23124
Ramon
23125
Reina Mercedes
23126
Roxas
23127
San Agustin
23128
San Guillermo
23129
San Isidro
23130
San Manuel
23131
San Mariano
23132
San Mateo
23133
San Pablo
23134
Santa Maria
23135
City Of Santiago
23136
Santo Tomas
23137
Tumauini
25001
Ambaguio
25002
Aritao
25003
Bagabag
25004
Bambang
25005
Bayombong (Capital)
25006
Diadi
25007
Dupax Del Norte
25008
Dupax Del Sur
25009
Kasibu
25010
Kayapa
25011
Quezon
25012
Santa Fe
25013
Solano
25014
Villaverde
25015
Alfonso Castaneda
25701
Aglipay
25702
Cabarroguis (Capital)
25703
Diffun
25704
Maddela
25705
Saguday
25706
Nagtipunan
30801
Abucay
30802
Bagac
30803
City Of Balanga (Capital)
30804
Dinalupihan
30805
Hermosa
30806
Limay
30807
Mariveles
30808
Morong
30809
Orani
30810
Orion
30811
Pilar
30812
Samal
31401
Angat
31402
Balagtas (Bigaa)
31403
Baliuag
31404
Bocaue
31405
Bulacan
31406
Bustos
31407
Calumpit
31408
Guiguinto
31409
Hagonoy
31410
City Of Malolos (Capital)
31411
Marilao
31412
City Of Meycauayan
31413
Norzagaray
31414
Obando
31415
Pandi
31416
Paombong
31417
Plaridel
31418
Pulilan
31419
San Ildefonso
31420
City Of San Jose Del Monte
31421
San Miguel
31422
San Rafael
31423
Santa Maria
31424
Doña Remedios Trinidad
34901
Aliaga
34902
Bongabon
34903
Cabanatuan City
34904
Cabiao
34905
Carranglan
34906
Cuyapo
34907
Gabaldon (Bitulok & Sabani)
34908
City Of Gapan
34909
General Mamerto Natividad
34910
General Tinio (Papaya)
34911
Guimba
34912
Jaen
34913
Laur
34914
Licab
34915
Llanera
34916
Lupao
34917
Science City Of Muñoz
34918
Nampicuan
34919
Palayan City (Capital)
34920
Pantabangan
34921
Peñaranda
34922
Quezon
34923
Rizal
34924
San Antonio
34925
San Isidro
34926
San Jose City
34927
San Leonardo
34928
Santa Rosa
34929
Santo Domingo
34930
Talavera
34931
Talugtug
34932
Zaragoza
35401
Angeles City
35402
Apalit
35403
Arayat
35404
Bacolor
35405
Candaba
35406
Floridablanca
35407
Guagua
35408
Lubao
35409
Mabalacat
35410
Macabebe
35411
Magalang
35412
Masantol
35413
Mexico
35414
Minalin
35415
Porac
35416
City Of San Fernando (Capital)
35417
San Luis
35418
San Simon
35419
Santa Ana
35420
Santa Rita
35421
Santo Tomas
35422
Sasmuan (Sexmoan)
36901
Anao
36902
Bamban
36903
Camiling
36904
Capas
36905
Concepcion
36906
Gerona
36907
La Paz
36908
Mayantoc
36909
Moncada
36910
Paniqui
36911
Pura
36912
Ramos
36913
San Clemente
36914
San Manuel
36915
Santa Ignacia
36916
City Of Tarlac (Capital)
36917
Victoria
36918
San Jose
37101
Botolan
37102
Cabangan
37103
Candelaria
37104
Castillejos
37105
Iba (Capital)
37106
Masinloc
37107
Olongapo City
37108
Palauig
37109
San Antonio
37110
San Felipe
37111
San Marcelino
37112
San Narciso
37113
Santa Cruz
37114
Subic
37701
Baler (Capital)
37702
Casiguran
37703
Dilasag
37704
Dinalungan
37705
Dingalan
37706
Dipaculao
37707
Maria Aurora
37708
San Luis
41001
Agoncillo
41002
Alitagtag
41003
Balayan
41004
Balete
41005
Batangas City (Capital)
41006
Bauan
41007
Calaca
41008
Calatagan
41009
Cuenca
41010
Ibaan
41011
Laurel
41012
Lemery
41013
Lian
41014
Lipa City
41015
Lobo
41016
Mabini
41017
Malvar
41018
Mataas Na Kahoy
41019
Nasugbu
41020
Padre Garcia
41021
Rosario
41022
San Jose
41023
San Juan
41024
San Luis
41025
San Nicolas
41026
San Pascual
41027
Santa Teresita
41028
Santo Tomas
41029
Taal
41030
Talisay
41031
City Of Tanauan
41032
Taysan
41033
Tingloy
41034
Tuy
42101
Alfonso
42102
Amadeo
42103
Bacoor
42104
Carmona
42105
Cavite City
42106
Dasmariñas
42107
General Emilio Aguinaldo
42108
General Trias
42109
Imus
42110
Indang
42111
Kawit
42112
Magallanes
42113
Maragondon
42114
Mendez (Mendez-Nuñez)
42115
Naic
42116
Noveleta
42117
Rosario
42118
Silang
42119
Tagaytay City
42120
Tanza
42121
Ternate
42122
Trece Martires City (Capital)
42123
Gen. Mariano Alvarez
43401
Alaminos
43402
Bay
43403
Biñan
43404
Cabuyao
43405
City Of Calamba
43406
Calauan
43407
Cavinti
43408
Famy
43409
Kalayaan
43410
Liliw
43411
Los Baños
43412
Luisiana
43413
Lumban
43414
Mabitac
43415
Magdalena
43416
Majayjay
43417
Nagcarlan
43418
Paete
43419
Pagsanjan
43420
Pakil
43421
Pangil
43422
Pila
43423
Rizal
43424
San Pablo City
43425
San Pedro
43426
Santa Cruz (Capital)
43427
Santa Maria
43428
City Of Santa Rosa
43429
Siniloan
43430
Victoria
45601
Agdangan
45602
Alabat
45603
Atimonan
45605
Buenavista
45606
Burdeos
45607
Calauag
45608
Candelaria
45610
Catanauan
45615
Dolores
45616
General Luna
45617
General Nakar
45618
Guinayangan
45619
Gumaca
45620
Infanta
45621
Jomalig
45622
Lopez
45623
Lucban
45624
Lucena City (Capital)
45625
Macalelon
45627
Mauban
45628
Mulanay
45629
Padre Burgos
45630
Pagbilao
45631
Panukulan
45632
Patnanungan
45633
Perez
45634
Pitogo
45635
Plaridel
45636
Polillo
45637
Quezon
45638
Real
45639
Sampaloc
45640
San Andres
45641
San Antonio
45642
San Francisco (Aurora)
45644
San Narciso
45645
Sariaya
45646
Tagkawayan
45647
City Of Tayabas
45648
Tiaong
45649
Unisan
45801
Angono
45802
City Of Antipolo
45803
Baras
45804
Binangonan
45805
Cainta
45806
Cardona
45807
Jala-Jala
45808
Rodriguez (Montalban)
45809
Morong
45810
Pililla
45811
San Mateo
45812
Tanay
45813
Taytay
45814
Teresa
50501
Bacacay
50502
Camalig
50503
Daraga (Locsin)
50504
Guinobatan
50505
Jovellar
50506
Legazpi City (Capital)
50507
Libon
50508
City Of Ligao
50509
Malilipot
50510
Malinao
50511
Manito
50512
Oas
50513
Pio Duran
50514
Polangui
50515
Rapu-Rapu
50516
Santo Domingo (Libog)
50517
City Of Tabaco
50518
Tiwi
51601
Basud
51602
Capalonga
51603
Daet (Capital)
51604
San Lorenzo Ruiz (Imelda)
51605
Jose Panganiban
51606
Labo
51607
Mercedes
51608
Paracale
51609
San Vicente
51610
Santa Elena
51611
Talisay
51612
Vinzons
51701
Baao
51702
Balatan
51703
Bato
51704
Bombon
51705
Buhi
51706
Bula
51707
Cabusao
51708
Calabanga
51709
Camaligan
51710
Canaman
51711
Caramoan
51712
Del Gallego
51713
Gainza
51714
Garchitorena
51715
Goa
51716
Iriga City
51717
Lagonoy
51718
Libmanan
51719
Lupi
51720
Magarao
51721
Milaor
51722
Minalabac
51723
Nabua
51724
Naga City
51725
Ocampo
51726
Pamplona
51727
Pasacao
51728
Pili (Capital)
51729
Presentacion (Parubcan)
51730
Ragay
51731
Sagñay
51732
San Fernando
51733
San Jose
51734
Sipocot
51735
Siruma
51736
Tigaon
51737
Tinambac
52001
Bagamanoc
52002
Baras
52003
Bato
52004
Caramoran
52005
Gigmoto
52006
Pandan
52007
Panganiban (Payo)
52008
San Andres (Calolbon)
52009
San Miguel
52010
Viga
52011
Virac (Capital)
54101
Aroroy
54102
Baleno
54103
Balud
54104
Batuan
54105
Cataingan
54106
Cawayan
54107
Claveria
54108
Dimasalang
54109
Esperanza
54110
Mandaon
54111
City Of Masbate (Capital)
54112
Milagros
54113
Mobo
54114
Monreal
54115
Palanas
54116
Pio V. Corpuz (Limbuhan)
54117
Placer
54118
San Fernando
54119
San Jacinto
54120
San Pascual
54121
Uson
56202
Barcelona
56203
Bulan
56204
Bulusan
56205
Casiguran
56206
Castilla
56207
Donsol
56208
Gubat
56209
Irosin
56210
Juban
56211
Magallanes
56212
Matnog
56213
Pilar
56214
Prieto Diaz
56215
Santa Magdalena
56216
City Of Sorsogon (Capital)
60401
Altavas
60402
Balete
60403
Banga
60404
Batan
60405
Buruanga
60406
Ibajay
60407
Kalibo (Capital)
60408
Lezo
60409
Libacao
60410
Madalag
60411
Makato
60412
Malay
60413
Malinao
60414
Nabas
60415
New Washington
60416
Numancia
60417
Tangalan
60601
Anini-Y
60602
Barbaza
60603
Belison
60604
Bugasong
60605
Caluya
60606
Culasi
60607
Tobias Fornier (Dao)
60608
Hamtic
60609
Laua-An
60610
Libertad
60611
Pandan
60612
Patnongon
60613
San Jose (Capital)
60614
San Remigio
60615
Sebaste
60616
Sibalom
60617
Tibiao
60618
Valderrama
61901
Cuartero
61902
Dao
61903
Dumalag
61904
Dumarao
61905
Ivisan
61906
Jamindan
61907
Ma-Ayon
61908
Mambusao
61909
Panay
61910
Panitan
61911
Pilar
61912
Pontevedra
61913
President Roxas
61914
Roxas City (Capital)
61915
Sapi-An
61916
Sigma
61917
Tapaz
63001
Ajuy
63002
Alimodian
63003
Anilao
63004
Badiangan
63005
Balasan
63006
Banate
63007
Barotac Nuevo
63008
Barotac Viejo
63009
Batad
63010
Bingawan
63012
Cabatuan
63013
Calinog
63014
Carles
63015
Concepcion
63016
Dingle
63017
Dueñas
63018
Dumangas
63019
Estancia
63020
Guimbal
63021
Igbaras
63022
Iloilo City (Capital)
63023
Janiuay
63025
Lambunao
63026
Leganes
63027
Lemery
63028
Leon
63029
Maasin
63030
Miagao
63031
Mina
63032
New Lucena
63034
Oton
63035
City Of Passi
63036
Pavia
63037
Pototan
63038
San Dionisio
63039
San Enrique
63040
San Joaquin
63041
San Miguel
63042
San Rafael
63043
Santa Barbara
63044
Sara
63045
Tigbauan
63046
Tubungan
63047
Zarraga
64501
Bacolod City (Capital)
64502
Bago City
64503
Binalbagan
64504
Cadiz City
64505
Calatrava
64506
Candoni
64507
Cauayan
64508
Enrique B. Magalona (Saravia)
64509
City Of Escalante
64510
City Of Himamaylan
64511
Hinigaran
64512
Hinoba-An (Asia)
64513
Ilog
64514
Isabela
64515
City Of Kabankalan
64516
La Carlota City
64517
La Castellana
64518
Manapla
64519
Moises Padilla (Magallon)
64520
Murcia
64521
Pontevedra
64522
Pulupandan
64523
Sagay City
64524
San Carlos City
64525
San Enrique
64526
Silay City
64527
City Of Sipalay
64528
City Of Talisay
64529
Toboso
64530
Valladolid
64531
City Of Victorias
64532
Salvador Benedicto
67901
Buenavista
67902
Jordan (Capital)
67903
Nueva Valencia
67904
San Lorenzo
67905
Sibunag
71201
Alburquerque
71202
Alicia
71203
Anda
71204
Antequera
71205
Baclayon
71206
Balilihan
71207
Batuan
71208
Bilar
71209
Buenavista
71210
Calape
71211
Candijay
71212
Carmen
71213
Catigbian
71214
Clarin
71215
Corella
71216
Cortes
71217
Dagohoy
71218
Danao
71219
Dauis
71220
Dimiao
71221
Duero
71222
Garcia Hernandez
71223
Guindulman
71224
Inabanga
71225
Jagna
71226
Jetafe
71227
Lila
71228
Loay
71229
Loboc
71230
Loon
71231
Mabini
71232
Maribojoc
71233
Panglao
71234
Pilar
71235
Pres. Carlos P. Garcia (Pitogo)
71236
Sagbayan (Borja)
71237
San Isidro
71238
San Miguel
71239
Sevilla
71240
Sierra Bullones
71241
Sikatuna
71242
Tagbilaran City (Capital)
71243
Talibon
71244
Trinidad
71245
Tubigon
71246
Ubay
71247
Valencia
71248
Bien Unido
72201
Alcantara
72202
Alcoy
72203
Alegria
72204
Aloguinsan
72205
Argao
72206
Asturias
72207
Badian
72208
Balamban
72209
Bantayan
72210
Barili
72211
City Of Bogo
72212
Boljoon
72213
Borbon
72214
City Of Carcar
72215
Carmen
72216
Catmon
72217
Cebu City (Capital)
72218
Compostela
72219
Consolacion
72220
Cordoba
72221
Daanbantayan
72222
Dalaguete
72223
Danao City
72224
Dumanjug
72225
Ginatilan
72226
Lapu-Lapu City (Opon)
72227
Liloan
72228
Madridejos
72229
Malabuyoc
72230
Mandaue City
72231
Medellin
72232
Minglanilla
72233
Moalboal
72234
City Of Naga
72235
Oslob
72236
Pilar
72237
Pinamungahan
72238
Poro
72239
Ronda
72240
Samboan
72241
San Fernando
72242
San Francisco
72243
San Remigio
72244
Santa Fe
72245
Santander
72246
Sibonga
72247
Sogod
72248
Tabogon
72249
Tabuelan
72250
City Of Talisay
72251
Toledo City
72252
Tuburan
72253
Tudela
74601
Amlan (Ayuquitan)
74602
Ayungon
74603
Bacong
74604
Bais City
74605
Basay
74606
City Of Bayawan (Tulong)
74607
Bindoy (Payabon)
74608
Canlaon City
74609
Dauin
74610
Dumaguete City (Capital)
74611
City Of Guihulngan
74612
Jimalalud
74613
La Libertad
74614
Mabinay
74615
Manjuyod
74616
Pamplona
74617
San Jose
74618
Santa Catalina
74619
Siaton
74620
Sibulan
74621
City Of Tanjay
74622
Tayasan
74623
Valencia (Luzurriaga)
74624
Vallehermoso
74625
Zamboanguita
76101
Enrique Villanueva
76102
Larena
76103
Lazi
76104
Maria
76105
San Juan
76106
Siquijor (Capital)
82601
Arteche
82602
Balangiga
82603
Balangkayan
82604
City Of Borongan (Capital)
82605
Can-Avid
82606
Dolores
82607
General Macarthur
82608
Giporlos
82609
Guiuan
82610
Hernani
82611
Jipapad
82612
Lawaan
82613
Llorente
82614
Maslog
82615
Maydolong
82616
Mercedes
82617
Oras
82618
Quinapondan
82619
Salcedo
82620
San Julian
82621
San Policarpo
82622
Sulat
82623
Taft
83701
Abuyog
83702
Alangalang
83703
Albuera
83705
Babatngon
83706
Barugo
83707
Bato
83708
City Of Baybay
83710
Burauen
83713
Calubian
83714
Capoocan
83715
Carigara
83717
Dagami
83718
Dulag
83719
Hilongos
83720
Hindang
83721
Inopacan
83722
Isabel
83723
Jaro
83724
Javier (Bugho)
83725
Julita
83726
Kananga
83728
La Paz
83729
Leyte
83730
Macarthur
83731
Mahaplag
83733
Matag-Ob
83734
Matalom
83735
Mayorga
83736
Merida
83738
Ormoc City
83739
Palo
83740
Palompon
83741
Pastrana
83742
San Isidro
83743
San Miguel
83744
Santa Fe
83745
Tabango
83746
Tabontabon
83747
Tacloban City (Capital)
83748
Tanauan
83749
Tolosa
83750
Tunga
83751
Villaba
84801
Allen
84802
Biri
84803
Bobon
84804
Capul
84805
Catarman (Capital)
84806
Catubig
84807
Gamay
84808
Laoang
84809
Lapinig
84810
Las Navas
84811
Lavezares
84812
Mapanas
84813
Mondragon
84814
Palapag
84815
Pambujan
84816
Rosario
84817
San Antonio
84818
San Isidro
84819
San Jose
84820
San Roque
84821
San Vicente
84822
Silvino Lobos
84823
Victoria
84824
Lope De Vega
86001
Almagro
86002
Basey
86003
Calbayog City
86004
Calbiga
86005
City Of Catbalogan (Capital)
86006
Daram
86007
Gandara
86008
Hinabangan
86009
Jiabong
86010
Marabut
86011
Matuguinao
86012
Motiong
86013
Pinabacdao
86014
San Jose De Buan
86015
San Sebastian
86016
Santa Margarita
86017
Santa Rita
86018
Santo Niño
86019
Talalora
86020
Tarangnan
86021
Villareal
86022
Paranas (Wright)
86023
Zumarraga
86024
Tagapul-An
86025
San Jorge
86026
Pagsanghan
86401
Anahawan
86402
Bontoc
86403
Hinunangan
86404
Hinundayan
86405
Libagon
86406
Liloan
86407
City Of Maasin (Capital)
86408
Macrohon
86409
Malitbog
86410
Padre Burgos
86411
Pintuyan
86412
Saint Bernard
86413
San Francisco
86414
San Juan (Cabalian)
86415
San Ricardo
86416
Silago
86417
Sogod
86418
Tomas Oppus
86419
Limasawa
87801
Almeria
87802
Biliran
87803
Cabucgayan
87804
Caibiran
87805
Culaba
87806
Kawayan
87807
Maripipi
87808
Naval (Capital)
97201
Dapitan City
97202
Dipolog City (Capital)
97203
Katipunan
97204
La Libertad
97205
Labason
97206
Liloy
97207
Manukan
97208
Mutia
97209
Piñan (New Piñan)
97210
Polanco
97211
Pres. Manuel A. Roxas
97212
Rizal
97213
Salug
97214
Sergio Osmeña Sr.
97215
Siayan
97216
Sibuco
97217
Sibutad
97218
Sindangan
97219
Siocon
97220
Sirawai
97221
Tampilisan
97222
Jose Dalman (Ponot)
97223
Gutalac
97224
Baliguian
97225
Godod
97226
Bacungan (Leon T. Postigo)
97227
Kalawit
97302
Aurora
97303
Bayog
97305
Dimataling
97306
Dinas
97307
Dumalinao
97308
Dumingag
97311
Kumalarang
97312
Labangan
97313
Lapuyan
97315
Mahayag
97317
Margosatubig
97318
Midsalip
97319
Molave
97322
Pagadian City (Capital)
97323
Ramon Magsaysay (Liargo)
97324
San Miguel
97325
San Pablo
97327
Tabina
97328
Tambulig
97330
Tukuran
97332
Zamboanga City
97333
Lakewood
97337
Josefina
97338
Pitogo
97340
Sominot (Don Mariano Marcos)
97341
Vincenzo A. Sagun
97343
Guipos
97344
Tigbao
98301
Alicia
98302
Buug
98303
Diplahan
98304
Imelda
98305
Ipil (Capital)
98306
Kabasalan
98307
Mabuhay
98308
Malangas
98309
Naga
98310
Olutanga
98311
Payao
98312
Roseller Lim
98313
Siay
98314
Talusan
98315
Titay
98316
Tungawan
101301
Baungon
101302
Damulog
101303
Dangcagan
101304
Don Carlos
101305
Impasug-Ong
101306
Kadingilan
101307
Kalilangan
101308
Kibawe
101309
Kitaotao
101310
Lantapan
101311
Libona
101312
City Of Malaybalay (Capital)
101313
Malitbog
101314
Manolo Fortich
101315
Maramag
101316
Pangantucan
101317
Quezon
101318
San Fernando
101319
Sumilao
101320
Talakag
101321
City Of Valencia
101322
Cabanglasan
101801
Catarman
101802
Guinsiliban
101803
Mahinog
101804
Mambajao (Capital)
101805
Sagay
103501
Bacolod
103502
Baloi
103503
Baroy
103504
Iligan City
103505
Kapatagan
103506
Sultan Naga Dimaporo (Karomatan)
103507
Kauswagan
103508
Kolambugan
103509
Lala
103510
Linamon
103511
Magsaysay
103512
Maigo
103513
Matungao
103514
Munai
103515
Nunungan
103516
Pantao Ragat
103517
Poona Piagapo
103518
Salvador
103519
Sapad
103520
Tagoloan
103521
Tangcal
103522
Tubod (Capital)
103523
Pantar
104201
Aloran
104202
Baliangao
104203
Bonifacio
104204
Calamba
104205
Clarin
104206
Concepcion
104207
Jimenez
104208
Lopez Jaena
104209
Oroquieta City (Capital)
104210
Ozamis City
104211
Panaon
104212
Plaridel
104213
Sapang Dalaga
104214
Sinacaban
104215
Tangub City
104216
Tudela
104217
Don Victoriano Chiongbian (Don Mariano Marcos)
104301
Alubijid
104302
Balingasag
104303
Balingoan
104304
Binuangan
104305
Cagayan De Oro City (Capital)
104306
Claveria
104307
City Of El Salvador
104308
Gingoog City
104309
Gitagum
104310
Initao
104311
Jasaan
104312
Kinoguitan
104313
Lagonglong
104314
Laguindingan
104315
Libertad
104316
Lugait
104317
Magsaysay (Linugos)
104318
Manticao
104319
Medina
104320
Naawan
104321
Opol
104322
Salay
104323
Sugbongcogon
104324
Tagoloan
104325
Talisayan
104326
Villanueva
112301
Asuncion (Saug)
112303
Carmen
112305
Kapalong
112314
New Corella
112315
City Of Panabo
112317
Island Garden City Of Samal
112318
Santo Tomas
112319
City Of Tagum (Capital)
112322
Talaingod
112323
Braulio E. Dujali
112324
San Isidro
112401
Bansalan
112402
Davao City
112403
City Of Digos (Capital)
112404
Hagonoy
112405
Jose Abad Santos (Trinidad)
112406
Kiblawan
112407
Magsaysay
112408
Malalag
112409
Malita
112410
Matanao
112411
Padada
112412
Santa Cruz
112413
Santa Maria
112414
Sulop
112415
Sarangani
112416
Don Marcelino
112501
Baganga
112502
Banaybanay
112503
Boston
112504
Caraga
112505
Cateel
112506
Governor Generoso
112507
Lupon
112508
Manay
112509
City Of Mati (Capital)
112510
San Isidro
112511
Tarragona
118201
Compostela
118202
Laak (San Vicente)
118203
Mabini (Doña Alicia)
118204
Maco
118205
Maragusan (San Mariano)
118206
Mawab
118207
Monkayo
118208
Montevista
118209
Nabunturan (Capital)
118210
New Bataan
118211
Pantukan
124701
Alamada
124702
Carmen
124703
Kabacan
124704
City Of Kidapawan (Capital)
124705
Libungan
124706
Magpet
124707
Makilala
124708
Matalam
124709
Midsayap
124710
M'Lang
124711
Pigkawayan
124712
Pikit
124713
President Roxas
124714
Tulunan
124715
Antipas
124716
Banisilan
124717
Aleosan
124718
Arakan
126302
Banga
126303
General Santos City (Dadiangas)
126306
City Of Koronadal (Capital)
126311
Norala
126312
Polomolok
126313
Surallah
126314
Tampakan
126315
Tantangan
126316
T'Boli
126317
Tupi
126318
Santo Niño
126319
Lake Sebu
126501
Bagumbayan
126502
Columbio
126503
Esperanza
126504
Isulan (Capital)
126505
Kalamansig
126506
Lebak
126507
Lutayan
126508
Lambayong (Mariano Marcos)
126509
Palimbang
126510
President Quirino
126511
City Of Tacurong
126512
Sen. Ninoy Aquino
128001
Alabel (Capital)
128002
Glan
128003
Kiamba
128004
Maasim
128005
Maitum
128006
Malapatan
128007
Malungon
129804
Cotabato City
140101
Bangued (Capital)
140102
Boliney
140103
Bucay
140104
Bucloc
140105
Daguioman
140106
Danglas
140107
Dolores
140108
La Paz
140109
Lacub
140110
Lagangilang
140111
Lagayan
140112
Langiden
140113
Licuan-Baay (Licuan)
140114
Luba
140115
Malibcong
140116
Manabo
140117
Peñarrubia
140118
Pidigan
140119
Pilar
140120
Sallapadan
140121
San Isidro
140122
San Juan
140123
San Quintin
140124
Tayum
140125
Tineg
140126
Tubo
140127
Villaviciosa
141101
Atok
141102
Baguio City
141103
Bakun
141104
Bokod
141105
Buguias
141106
Itogon
141107
Kabayan
141108
Kapangan
141109
Kibungan
141110
La Trinidad (Capital)
141111
Mankayan
141112
Sablan
141113
Tuba
141114
Tublay
142701
Banaue
142702
Hungduan
142703
Kiangan
142704
Lagawe (Capital)
142705
Lamut
142706
Mayoyao
142707
Alfonso Lista (Potia)
142708
Aguinaldo
142709
Hingyon
142710
Tinoc
142711
Asipulo
143201
Balbalan
143206
Lubuagan
143208
Pasil
143209
Pinukpuk
143211
Rizal (Liwan)
143213
City Of Tabuk (Capital)
143214
Tanudan
143215
Tinglayan
144401
Barlig
144402
Bauko
144403
Besao
144404
Bontoc (Capital)
144405
Natonin
144406
Paracelis
144407
Sabangan
144408
Sadanga
144409
Sagada
144410
Tadian
148101
Calanasan (Bayag)
148102
Conner
148103
Flora
148104
Kabugao (Capital)
148105
Luna
148106
Pudtol
148107
Santa Marcela
150702
City Of Lamitan
150703
Lantawan
150704
Maluso
150705
Sumisip
150706
Tipo-Tipo
150707
Tuburan
150708
Akbar
150709
Al-Barka
150710
Hadji Mohammad Ajul
150711
Ungkaya Pukan
150712
Hadji Muhtamad
150713
Tabuan-Lasa
153601
Bacolod-Kalawi (Bacolod Grande)
153602
Balabagan
153603
Balindong (Watu)
153604
Bayang
153605
Binidayan
153606
Bubong
153607
Butig
153608
Ganassi
153609
Kapai
153610
Lumba-Bayabao (Maguing)
153611
Lumbatan
153612
Madalum
153613
Madamba
153614
Malabang
153615
Marantao
153616
Marawi City (Capital)
153617
Masiu
153618
Mulondo
153619
Pagayawan (Tatarikan)
153620
Piagapo
153621
Poona Bayabao (Gata)
153622
Pualas
153623
Ditsaan-Ramain
153624
Saguiaran
153625
Tamparan
153626
Taraka
153627
Tubaran
153628
Tugaya
153629
Wao
153630
Marogong
153631
Calanogas
153632
Buadiposo-Buntong
153633
Maguing
153634
Picong (Sultan Gumander)
153635
Lumbayanague
153636
Bumbaran
153637
Tagoloan Ii
153638
Kapatagan
153639
Sultan Dumalondong
153640
Lumbaca-Unayan
153801
Ampatuan
153803
Buluan
153805
Datu Paglas
153806
Datu Piang
153808
Shariff Aguak (Maganoy) (Capital)
153810
Pagalungan
153813
Sultan Sa Barongis (Lambayong)
153816
Talayan
153817
South Upi
153819
Gen. S. K. Pendatun
153820
Mamasapano
153821
Talitay
153822
Pagagawan
153823
Paglat
153825
Guindulungan
153826
Datu Saudi-Ampatuan
153827
Datu Unsay
153828
Datu Abdullah Sangki
153829
Rajah Buayan
153831
Datu Anggal Midtimbang
153832
Mangudadatu
153833
Pandag
156601
Indanan
156602
Jolo (Capital)
156603
Kalingalan Caluang
156604
Luuk
156605
Maimbung
156606
Hadji Panglima Tahil (Marunggas)
156607
Old Panamao
156608
Pangutaran
156609
Parang
156610
Pata
156611
Patikul
156612
Siasi
156613
Talipao
156614
Tapul
156615
Tongkil
156616
Panglima Estino (New Panamao)
156617
Lugus
156618
Pandami
156619
Omar
157001
Panglima Sugala (Balimbing)
157002
Bongao (Capital)
157003
Mapun (Cagayan De Tawi-Tawi)
157004
Simunul
157005
Sitangkai
157006
South Ubian
157007
Tandubas
157008
Turtle Islands
157009
Languyan
157010
Sapa-Sapa
157011
Sibutu
158401
Barira
158402
Buldon
158403
Datu Blah T. Sinsuat
158404
Datu Odin Sinsuat (Dinaig) (Capital)
158405
Kabuntalan (Tumbao)
158406
Matanog
158407
Parang
158408
Sultan Kudarat (Nuling)
158409
Sultan Mastura
158410
Upi
158411
Northern Kabuntalan
160201
Buenavista
160202
Butuan City (Capital)
160203
City Of Cabadbaran
160204
Carmen
160205
Jabonga
160206
Kitcharao
160207
Las Nieves
160208
Magallanes
160209
Nasipit
160210
Santiago
160211
Tubay
160212
Remedios T. Romualdez
160301
City Of Bayugan
160302
Bunawan
160303
Esperanza
160304
La Paz
160305
Loreto
160306
Prosperidad (Capital)
160307
Rosario
160308
San Francisco
160309
San Luis
160310
Santa Josefa
160311
Talacogon
160312
Trento
160313
Veruela
160314
Sibagat
166701
Alegria
166702
Bacuag
166704
Burgos
166706
Claver
166707
Dapa
166708
Del Carmen
166710
General Luna
166711
Gigaquit
166714
Mainit
166715
Malimono
166716
Pilar
166717
Placer
166718
San Benito
166719
San Francisco (Anao-Aon)
166720
San Isidro
166721
Santa Monica (Sapao)
166722
Sison
166723
Socorro
166724
Surigao City (Capital)
166725
Tagana-An
166727
Tubod
166801
Barobo
166802
Bayabas
166803
City Of Bislig
166804
Cagwait
166805
Cantilan
166806
Carmen
166807
Carrascal
166808
Cortes
166809
Hinatuan
166810
Lanuza
166811
Lianga
166812
Lingig
166813
Madrid
166814
Marihatag
166815
San Agustin
166816
San Miguel
166817
Tagbina
166818
Tago
166819
City Of Tandag (Capital)
168501
Basilisa (Rizal)
168502
Cagdianao
168503
Dinagat
168504
Libjo (Albor)
168505
Loreto
168506
San Jose (Capital)
168507
Tubajon
174001
Boac (Capital)
174002
Buenavista
174003
Gasan
174004
Mogpog
174005
Santa Cruz
174006
Torrijos
175101
Abra De Ilog
175102
Calintaan
175103
Looc
175104
Lubang
175105
Magsaysay
175106
Mamburao (Capital)
175107
Paluan
175108
Rizal
175109
Sablayan
175110
San Jose
175111
Santa Cruz
175201
Baco
175202
Bansud
175203
Bongabong
175204
Bulalacao (San Pedro)
175205
City Of Calapan (Capital)
175206
Gloria
175207
Mansalay
175208
Naujan
175209
Pinamalayan
175210
Pola
175211
Puerto Galera
175212
Roxas
175213
San Teodoro
175214
Socorro
175215
Victoria
175301
Aborlan
175302
Agutaya
175303
Araceli
175304
Balabac
175305
Bataraza
175306
Brooke'S Point
175307
Busuanga
175308
Cagayancillo
175309
Coron
175310
Cuyo
175311
Dumaran
175312
El Nido (Bacuit)
175313
Linapacan
175314
Magsaysay
175315
Narra
175316
Puerto Princesa City (Capital)
175317
Quezon
175318
Roxas
175319
San Vicente
175320
Taytay
175321
Kalayaan
175322
Culion
175323
Rizal (Marcos)
175324
Sofronio Española
175901
Alcantara
175902
Banton
175903
Cajidiocan
175904
Calatrava
175905
Concepcion
175906
Corcuera
175907
Looc
175908
Magdiwang
175909
Odiongan
175910
Romblon (Capital)
175911
San Agustin
175912
San Andres
175913
San Fernando
175914
San Jose
175915
Santa Fe
175916
Ferrol
175917
Santa Maria (Imelda)
Crops
Crops
Crops
Crops
Crops
Crop
Enter the name of the crop as enumerated by the first farmer-respondent for the crop. Use a separate answer grid for each crop being enumerated.
This worksheet shall be used as 1) collection form and as 2) provincial summary.
705
Lettuce**
807
Melon
901
Coffee, Total**
7031
Onion
70320
Garlic
70330
Habitchuelas
71320
Chicken pea
71331
Mongo
71410
Cassava
121120
Ginseng
121299
Sugarcane**
8043000
Pineapple
8044000
Avocado
8051000
Orange
9011002
a. Coffee, Arabica
9011003
d. Coffee, Robusta
9011004
b. Coffee, Excelsa
9011005
c. Coffee, Liberica
12074000
Sesame
14012000
Rattan
53051100
Coir
602101103
Chrysanthemum
602101204
Gladiola
602102000
Rubber
602400000
Roses
602400304
Bromeliad
602909002
Anthurium
602909010
Aster
602909011
Azucena
602909012
Baby's breath
602909014
Carnation
602909016
Dahlia
602909017
Daisy
602909018
Euphorbia
602909020
Gerbera
602909022
Heliconia
602909023
Ilang-ilang
602909024
Sampaguita
602909025
Santan
602909026
San Francisco
602909028
Statice
602909029
Yellow bell
603101000
Orchids, Total
603101001
a. Orchids, Dendrobium
603101002
b. Orchids, Vanda
604910001
African palm leaves
604910002
Palm Ornamentals
604910003
Water lily
702000000
Tomato
703901001
Leeks
704101000
Cauliflower**
704102000
Broccoli**
704901000
Cabbage
706101000
Carrots**
706102000
Yam beans/Turnips
706900001
Radish
707000000
Cucumber
708100006
Sweet Peas
708200001
Black beans
708200002
Cowpea
708200003
Kentucky beans
708200007
Kidney beans
708200009
Red beans
708200011
Soybeans
708200012
Stringbeans
708200013
Winged beans
708200014
Wonder beans
708200016
Sabidokong
708200017
Samsamping
709200000
Asparagus
709300000
Eggplant/Aubergines
709400000
Celery
709510000
Mushroom
709601000
Pepper Chili fruit
709609000
Pepper, Total
709609001
a. Pepper, Bell
709609002
b. Pepper, Finger
709609003
c. Pepper, Chili
709700000
Spinach
709900002
Mustard
709900004
Squash fruit
709900005
Dulaw/kalawag
709900006
Kulibangbang
709900007
Laurel
709900009
Ampalaya(Bitter gourd)
709909010
Gourd/Upo
709909012
Chayote
709909014
Patola
709909016
Malunggay fruit
709909018
Sugodsugod
710100000
Irish potato
710800001
Bago leaves
710800002
Ampalaya leaves
710800003
Cassava tops
710800004
Chayote tops
710800005
Cowpea tops
710800007
Paco/Fern,edible
710800008
Malunggay leaves
710800010
Likway
710800011
Lumbia
710800012
Lupo
710800014
Papait
710800015
Pechay, Total
710800018
Pepper chili leaves
710800019
Sangig
710800020
Kangkong
710800021
Camote tops
710800022
Talinum
710800023
Watercress
710900001
Alucon/Bungon
710900002
Coconut pith
710900003
Katuray
710900004
Squash tops
710900010
Bamboo shoots
714200000
Camote, Total
714909001
Arrowroot
714909003
Pao (galiang)
714909005
Tugue
800000001
e. Banana, Senorita
800000002
f. Banana, Butuan
800000003
c. Mango, Indian
800000004
d. Papaya, Others
800000005
Guayabano
800000006
a. Santol, Native
800000007
b. Santol, Bangkok
800000008
Duhat
800000009
Sineguelas
800000010
Granada
800000011
Sirialis
801100000
Coconut**
803000001
Banana, Total
803000003
d. Banana, Bungulan
803000005
b. Banana, Lakatan
803000006
c. Banana, Latundan
803000007
a. Banana, Saba
804500001
Guava, Total
804500003
Mango, Total**
804500005
Mangosteen
804500007
a. Guava, Native
804500008
b. Guava, Guapple
804500009
b. Mango, Carabao
804500010
a. Mango, Piko
805200001
Mandarin
805500000
Lime
805500001
Lemon
805900001
Pomelo
805900002
Calamansi**
806100000
Grapes
807110000
Watermelon
807200000
Papaya, Total**
807200001
b. Papaya, Hawaiian
807200002
a. Papaya, Solo
807200003
c. Papaya, Native
810100000
Strawberry
810600000
Durian**
810909001
Chico
810909002
Jackfruit
810909003
Lanzones
810909004
Santol, Total
810909010
Breadfruit
810909011
Camatchili
810909012
Canistel
810909013
Anonas (custard apple)
810909015
Hibi
810909016
Manzanita/Aratelis/Indian jujube
810909019
Calumpit
810909020
Karamay/Gooseberry
810909021
Batwan
810909022
Longans
810909023
Lepote
810909024
Mabolo
810909025
Makopa
810909026
Marang
810909027
Passion fruit
810909028
Persimmon
810909030
Rambutan
810909031
Rattan fruits
810909032
Bugnay/Bignay
810909034
Starapple
810909035
Balimbing/Granatis/Starfruit
810909036
Atis/Sugarapple
810909037
Tamarind
810909038
Zapote
910100000
Ginger
1000000001
Green Cornstalk
1007000000
Sorghum
1200000001
Kaong
1200000002
Lagundi
1200000003
Oil Palm
1200000004
Oregano
1200000005
Pili nut
1207100000
Palm fruit
1207300000
Castor beans
1211909912
Boyo/Ikmo
1211909917
Dawa
1213000000
Rice hay
1214900001
Guinea grass
1214900002
Ipil-ipil leaves
1214900003
Ngalog
1214900004
Napier grass
1214900006
Flamingia
1214900007
Rensonii
1400000001
Apatot
1400000002
Banaba
1400000003
Betel nut
1400000004
Maguey
1400000005
Piter betel
1400000006
Puto-Puto
1400000007
Ramie
1400000008
Romblon
1402001000
Kapok
1403000010
Tiger grass
1404909007
Nipa Wine
1800000001
Cashew
1800000002
Coconut sap/tuba
1800000003
Coconut leaves
1801000000
Cacao
2000000001
b. Tobacco, Virginia
2401100000
Tobacco, Total
2401109001
a. Tobacco, Native
2401109002
c. Tobacco, Other Varieties
5201000000
Cotton
5303100001
Jute
5304100001
Laza
5305210000
Abaca
5305900005
Pineapple fiber
5305900007
Salago
6000000001
Spraymum
6000000006
Yerba buena
7000000001
Alogbati
7000000002
Ashuete
7000000003
Bawing sulasi
7000000004
Beets
7000000005
Black Pepper
7000000006
Cogon
7000000007
Gabi leaves stem
7000000008
Gisantes
7000000009
Kadios
7000000010
Kamias
7000000011
Kinchay
7000000012
Pandan
7000000013
Parsley
7000000014
Peanut
7000000015
Saluyot
7000000016
Tamarind flower
7000000017
Tanglad
7000000018
Tikog
7000000019
Ubi
7100000001
a. Pechay, Native
7100000002
b. Pechay, Chinese
7140000001
a. Camote, Tops
7140000002
b. Camote, Roots
8000000009
Kondol
8000000012
Banana leaves
8000000013
Banana blossom
8000000014
Jackfruit (young)
8000000015
Green Papaya
9000000001
Gabi
Name of Respondent
Name of Respondent
Name of Respondent
Name of Respondent
Name of Respondent
Name of Respondent
Spell out the name of the respondent in the space provided.
Note that we have 5 sample farmers in each municipality for crops under Farm Price Survey commodity basket, otherwise,six (6) to nine (9) samples.
This worksheet shall be used as 1) collection form and as 2) provincial summary.
all farmers-producers during the reference period
These are the farmers who have raised and harvested the crop during the reference period.
Production last year in kilograms
Production last year in kilograms
Production last year in kilograms
Production last year in kilograms
Production last year in kilograms
Production last year
Total volume of production during the reference period for the previous year in kilograms at household level and in metric tons at the provincial level and higher.
Verify that the data provided refers to the reference quarter/semester regardless of the date of collection. That is, the estimate for the First Quarter should be for January to March of the previous year even if the collection date is in February of the current year.
Check the yield and compare with the level in the series or parameters. It should be within the range or there should not be significant difference in yield.Verify with the respondent for those with significant difference.
All production harvested within the reference period
Production refers to the volume of quantity harvested within the reference quarter last year
Production this year in kilograms
Production this year in kilograms
Production this year in kilograms
Production this year in kilograms
Production this year in kilograms
Production this year
Total volume of production during the reference period for the current year in kilograms at household level and in metric tons at the provincial level and higher.
Verify that the data provided refers to the reference quarter/semester regardless of the date of collection. That is, the estimate for the First Quarter should be for January to March of the current year even if the collection date is in February.
Check the yield and compare with the level in the series or parameters. It should be within the range or there should not be significant change in yield. Verify with the respondent for the significant difference.
All production harvested within the reference period
Production refers to the volume of quantity harvested within the reference quarter of the current year
Reasons for Changes
Reasons for Changes
Reasons for Changes
Reasons for Changes
Reasons for Changes
Reasons for Changes
Indicate the valid reason regardless of change. Substantive reason is required for significant change this period against last year same period. If weather or climate is attributed, ask for the impact or response of the crop to weather or climate. Pest and diseases, typhoon, programs implemented and the like should be identified.
For significant difference in yield against the series or parameters, ask for a valid reason. Assess the appropriateness of the reason given.
This explains the reason for change this year against last year same period.
Factors that affect production which may include weather, farm practices, programs implemented affecting agriculture,prices, market situation, seasonality, technology, etc.
Area last year in hectares
Area last year in hectares
Area last year in hectares
Area last year in hectares
Area last year in hectares
Area Last Year
The estimate on area planted refers to permanent crops and multi-harvest temporary crops or area harvested for mono-harvest temporary crops. This shall cover for the reference period of the previous year regardless of the date of collection. That is, the estimate for the First Semester of the previous year should be for January to June last year even if the collection date is in May of the current year.
The area when referring to scattered trees has to be estimated based on the usual number of trees to a hectare in a compact farm in the area.
Check the acceptability of the bearing trees per hectare in comparison with the level in the series or parameters. It should be within the range or there should not be significant difference in number of bearing trees per hectare. Verify with the respondent for those with significant difference. There maybe overestimation or underestimation in any or either of the area or number of bearing trees.
Note that that there are still non-bearing trees planted in an area which shall result to a lower number of bearing trees per hectare. Unless the trees in the area given are all bearing.
All area planted to the crop during the reference period
Actual area harvested last year for temporary mono-crops or area planted of multi-harvest crops and permanent crops. The area planted includes the area for newly planted, non-bearing and bearing trees.
Area this year in hectares
Area this year in hectares
Area this year in hectares
Area this year in hectares
Area this year in hectares
Area This Year
The estimate on area planted refers to permanent crops and multi-harvest temporary crops or area harvested for mono-harvest temporary crops. This shall cover for the reference period of the current year regardless of the date of collection. That is, the estimate for the First Semester of the current year should be for January to June of the current year even if the collection date is in May.
The area when referring to scattered trees has to be estimated based on the usual number of trees to a hectare in a compact farm in the area. Verify that the area include the non-bearing trees, bearing trees and newly planted trees as of this year.
Check the acceptability of the bearing trees per hectare in comparison with the level in the series or parameters. It should be within the range or there should not be significant difference in bearing trees per hectare. Verify with the respondent for those with significant difference. There maybe overestimation or underestimation in any or either of the area or number of bearing trees.
Note that that there are still non-bearing trees planted in an area which shall result to a lower number of bearing trees per hectare. Unless the trees in the area given are all bearing.
All area planted to the crop during the reference period
Actual area harvested this year for temporary mono-crops or area planted of multi-harvest crops and permanent crops. The area planted includes the area for newly planted, non-bearing and bearing trees.
Bearing trees last year
Bearing trees last year
Bearing trees last year
Bearing trees last year
Bearing trees last year
Bearing Trees Last Year
The estimate on the number of bearing trees to be reported for the semester should cover for the said reference period of the previous year regardless of the date of collection. That is, the estimate for the First Semester of the previous year should be for January to June even if the collection date is in May of the current year.
Check the acceptability of the bearing trees per hectare in comparison with the level in the series or parameters. It should be within the range or there should not be significant difference in bearing trees per hectare. Verify with the respondent for those with significant difference. There may be underestimation or overestimation in any or either of the area or number of bearing trees.
Verify by computing the number of bearing trees per hectare referring to the area for the year when the youngest bearing trees were planted. Bearing age of trees vary by crop. The resulting number of bearing tree per hectare should not be far from the province specific parameter. Note that there are still non-bearing trees planted in an area which shall result to a lower number of bearing trees per hectare. Unless the trees in the area given are all bearing.
Be conscious that the trees counted in this cell are those bearing trees as of last year which include those trees that may have bore fruit in the past and may not have bore fruit last year.
All bearing trees that have bore fruit in the past and which may or may not have bore fruit during the reference period.
The actual number of bearing trees last year that had produced and the trees that bore fruits in the past which may or may not have bore fruit during the reference quarter.
Bearing trees this year
Bearing trees this year
Bearing trees this year
Bearing trees this year
Bearing trees this year
Bearing Trees This Year
The estimate on the number of bearing trees to be reported for the semester should cover for the said reference period of the current year regardless of the date of collection. That is, the estimate for the First Semester of the current year should be for January to June even if the collection date is in May of the current year.
Check the acceptability of the bearing trees per hectare in comparison with the level in the series or parameters. It should be within the range or there should not be significant difference in bearing trees per hectare. Verify with the respondent for those with significant difference. There may be underestimation or overestimation in any or either of the area or number of bearing trees.
Verify by computing the number of bearing trees per hectare referring to the area for the year when the youngest bearing trees were planted. Bearing age of trees vary by crop. The resulting number of bearing tree per hectare should not be far from the province specific parameter. Note that there are still non-bearing trees planted in an area which shall result to a lower number of bearing trees per hectare. Unless the trees in the area given are all bearing.
Be conscious that some trees may not have bore fruit this period but has bore fruits in the past. Do not count the trees that have grown and reached bearing age but has not bore fruit. Count the trees that have bore fruit in the past and which may not have bore fruit this period.
Note that that there are still non-bearing trees planted in an area which shall result to a lower number of bearing trees per hectare. Unless the trees in the area given are all bearing.
All bearing trees that have bore fruit in the past and which may or may not have bore fruit during the reference period.
The actual number of bearing trees of the current year that had produced and the trees that bore fruits in the past which may or may not have bore fruit during the reference quarter.
Weight of Small Farms
Weight of Small Farms
Weight of Small Farms
Weight of Small Farms
Weight of Small Farms
Weight of Small Farms
This refers to the contibution of the small farms based on area planted.
Weight of Plantations
Weight of Plantations
Weight of Plantations
Weight of Plantations
Weight of Plantations
Weight of Plantations
This refers to the contirubtion of the plantations based on the area planted to the crop.