Crops Production Survey 2008
Philippines, 2008
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Reference ID
PHL_2008_CrPS_v01_EN_M_v01_A_OCS
Producer(s)
Bureau of Agricultural Statistics
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Metadata
Created on
May 28, 2020
Last modified
Jan 31, 2023
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Identification
Survey ID Number
PHL_2008_CrPS_v01_EN_M_v01_A_OCS
Title
Crops Production Survey 2008
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
In 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.
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.
Abstract
The CrPS is conducted quarterly to generate production estimates for crops other than cereals at the national, regional and provincial levels disaggregation. Out 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.
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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
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.
- 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.
Keywords
| Keyword |
|---|
| small farms |
| perennial crops |
| temporary crops |
| multi-harvest crops |
| mono-harvest crops |
| bearing trees/hectare |
| bearing hills/hectare |
| kilograms/bearing tree |
| kilograms/hectare |
Coverage
Geographic Coverage
National Coverage
Universe
The survey covers all small farm producers and plantation farms of all agricultural crops, other than palay and corn, nationwide .
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics | Department of Agriculture |
Producers
| 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 |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Bureau of Agricultural Statistics | BAS | Funding agency and implementor |
| Department of Agriculture-Ginintuang Masaganang Agricultural, High Value Commercial Crops | DA-GMA-HVCC | Funding support |
Sampling
Sampling Procedure
The survey employs two-stage sampling design with municipality as the Primary Sampling Units (PSU) and farmer-producer as the Secondary Sampling Units (SSU).
Farms are classified as small farms and plantation farms. For small farms, crops are classified based on coverage of the Farm Price Survey, i.e. 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. From 1988 until 2000, the survey adopted three stage sampling or 5x5x5. This is intended to represent the five (5) municipalities as the PSU, five barangays as the SSU and five (5) households as the USU. In May 2000, a two stage sampling was adopted with the five (5) top producing municipalities as the PSU and five farmers-producers as the SSU.
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 was 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, i.e. 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. From 1988 until 2000, the survey adopted three stage sampling or 5x5x5. This is intended to represent the five (5) municipalities as the PSU, five barangays as the SSU and five (5) households as the USU. In May 2000, a two stage sampling was adopted with the five (5) top producing municipalities as the PSU and five farmers-producers as the SSU.
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 was 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.
Weighting
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
Dates of 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 |
Data Collection Mode
Face-to-face paper [f2f]
Data Processing
Data Editing
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
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). Across 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 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.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division Chief | BAS | [email protected] | www.bas.gov.ph |
Confidentiality
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.
Access conditions
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.
Citation requirements
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
Disclaimer
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.
Metadata production
DDI Document ID
DDI_PHL_2008_CrPS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Lorna V. Gabito | LVG | Bureau of Agricultural Statistics | Documentation of the study |
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
DDI Document version
PHL_2008_CrPS_v01_EN_M_v01_A_OCS_v01