Crops Production Survey 2008
Philippines, 2008
Reference ID
PHL-BAS-CPS-2008-v2.0
Producer(s)
Bureau of Agricultural Statistics
Collection(s)
Metadata
Created on
Sep 23, 2021
Last modified
Sep 23, 2021
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Identification
Crops Production Survey 2008
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-BAS-CPS-2008-v2.0
The CrPS is conducted quarterly to generate production estimates for crops other than cereals at the national, regional and provincial levels disaggregation.
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.
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.
Sample survey data [ssd]
An agricultural production-related survey with a household-level questionnaire which would have provincial unit of analysis.
Version
version 2.0 edited at Operations Centers, not anonymized
2009-08-31
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.
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.
Scope
keyword | URI |
---|---|
small farms | |
perennial crops | |
temporary crops | |
multi-harvest crops | |
mono-harvest crops | |
bearing trees/hectare | |
bearing hills/hectare | |
kilograms/bearing tree | |
kilograms/hectare |
Coverage
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
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 .
Producers and sponsors
Name | Affiliation | Role |
---|---|---|
Sugar Regulatory Administration | DA | data collection and validation for canes milled for centrifugal sugar |
Philippine Coconut Authority | DA | data collection and validation for coconut |
National Tobacco Administration | DA | data collection and validation for tobacco data in program areas |
Fiber Development Authority | DA | data collection and validation for fiber from baling stations |
Cotton Development Administration | DA | data collection and validation for cotton |
Name | Abbreviation | Role |
---|---|---|
Bureau of Agricultural Statistics | BAS | funding agency and implementor |
Department of Agriculture-Ginintuang Masaganang Agrikultura-High Value Commercial Crops | DA-GMA-HVCC | funding support |
Name | Affiliation | Role | |
---|---|---|---|
Regional Field Units | DA | other source of data on volume of production and inflow/outflow and area | |
Bureau of Plant Industry | DA | data source of parameters on crops and other crop related information | |
Sampling
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.
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.
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.
Data Collection
Start | End | Cycle |
---|---|---|
2008-02-20 | 2008-02-27 | Quarter 1 |
2008-05-20 | 2008-05-30 | Quarter 2 |
2008-08-20 | 2008-08-30 | Quarter 3 |
2008-11-20 | 2008-11-30 | Quarter 4 |
Start | End | Cycle |
---|---|---|
2008-01-01 | 2008-03-31 | Quarter 1 (preliminary) |
2008-01-01 | 2008-03-31 | Quarter 1 (final) |
2008-04-01 | 2008-06-30 | Quarter 2 (preliminary) |
2008-04-01 | 2008-06-30 | Quarter 2 (final) |
2008-07-01 | 2008-09-30 | Quarter 3 (preliminary) |
2008-07-01 | 2008-09-30 | Quarter 3 (final) |
2008-10-01 | 2008-12-31 | Quarter 4 (preliminary) |
2008-10-01 | 2008-12-31 | Quarter 4 (final) |
Face-to-face [f2f]
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.
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.
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.
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.
Name | Abbreviation | Affiliation |
---|---|---|
Bureau of Agricultural Statistics - Provincial Operations Centers | BAS - POCs | Department of Agriculture |
Sugar Regulatory Administration | SRA | Department of Agriculture |
Philippine Coconut Authority | PCA | Department of Agriculture |
National Tobacco Administration | NTA | Department of Agriculture |
Fiber Development Authority | FIDA | Department of Agriculture |
Cotton Development Administration | CODA | Department of Agriculture |
Data Processing
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.
Data Appraisal
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.
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.
Data access
Name | Affiliation | URI | |
---|---|---|---|
Director | BAS | idss@bas.gov.ph | www.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 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.
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"
"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"
Disclaimer and copyrights
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.
Copyright 2008 © Bureau of Agricultural Statistics, All rights reserved.
contacts
Name | Affiliation | URI | |
---|---|---|---|
Division Chief | BAS | csd@bas.gov.ph | www.bas.gov.ph |