Crops Production Survey 2021
Philippines, 2021
Reference ID
PHL-PSA-CrPS-2021-v1.0
Producer(s)
Philippine Statistics Authority (PSA)
Collection(s)
Metadata
Created on
Apr 03, 2023
Last modified
Apr 03, 2023
Page views
4050
Downloads
368
Identification
Title
Crops Production Survey 2021
Countries
| Name | Abbreviation |
|---|---|
| Philippines | PHL |
idno
PHL-PSA-CrPS-2021-v1.0
Study notes
The Crops Production Survey (CrPS) is a quarterly survey which aims to generate basic production statistics for crops other than palay and corn at the national and sub-national levels. Twenty major crops under the Other Crops sub-sector are highlighted in the Value of Production in Philippine Agriculture and Fisheries.
The CrPS covers around 280 crops sub-classified under three commodity groupings, namely: 1) Non-Food and Industrial Crops, 2) Fruit Crops, and 3) Vegetables and Root Crops. The commodity coverage by province differs and depends on what each province produces.
There are specialized commodity agencies which also generate production-related statistics such as the Sugar Regulatory Administration (SRA), Philippine Coconut Authority (PCA), Philippine Fiber Industry Development Authority (PhilFIDA), and National Tobacco Administration (NTA). The PSA adopts the production data of SRA on canes milled for centrifugal sugar while those from PCA, PhilFIDA, and NTA serve as inputs in the review and validation of estimates.
The authority and mandate of the PSA to conduct the CrPS emanates from Republic Act (RA) No. 10625, also known as the Philippine Statistical Act of 2013, which was approved on 12 September 2013. It states that:
“The PSA shall be primarily responsible for all national censuses and surveys, sectoral statistics, consolidation of administrative recording system, and compilation of national accounts.”
The CrPS covers around 280 crops sub-classified under three commodity groupings, namely: 1) Non-Food and Industrial Crops, 2) Fruit Crops, and 3) Vegetables and Root Crops. The commodity coverage by province differs and depends on what each province produces.
There are specialized commodity agencies which also generate production-related statistics such as the Sugar Regulatory Administration (SRA), Philippine Coconut Authority (PCA), Philippine Fiber Industry Development Authority (PhilFIDA), and National Tobacco Administration (NTA). The PSA adopts the production data of SRA on canes milled for centrifugal sugar while those from PCA, PhilFIDA, and NTA serve as inputs in the review and validation of estimates.
The authority and mandate of the PSA to conduct the CrPS emanates from Republic Act (RA) No. 10625, also known as the Philippine Statistical Act of 2013, which was approved on 12 September 2013. It states that:
“The PSA shall be primarily responsible for all national censuses and surveys, sectoral statistics, consolidation of administrative recording system, and compilation of national accounts.”
Kind of data
Sample survey data [ssd]
Unit of analysis
- farm
- farmer-producer
- farmer-producer
Version
Version
Version 1.0 (March 2023): Division edits for preliminary estimates computation (raw, first output)
Version date
2023-03-20
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Agriculture, forestry, fisheries | Philippine Statistics Authority |
Coverage
Geographic coverage
National Regional
Provinces in Regions (National Capital Region not included)
Provinces in Regions (National Capital Region not included)
Geographic unit
The lowest level of geographic disaggregation is the city/municipality.
Unit of analysis
- farm
- farmer-producer
- farmer-producer
Universe
All large farms/farmer-producers of all agricultural crops, other than palay and corn, nationwide.
Producers and sponsors
Producer(s)
| Name | Affiliation | Role |
|---|---|---|
| Sugar Regulatory Administration | Department of Agriculture (DA) | data collection and validation for canes milled for centrifugal sugar |
| Philippine Coconut Authority | Department of Agriculture (DA) | data collection and validation for coconut (1st to 3rd quarter of 2021) |
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Government of the Philippines | GOP | Full funding |
Sampling
Sampling procedure
The domain of CrPS is the 81 provinces with the Cities of Zamboanga and Davao as separate domains. The selection of sample farms in the province are done by categorizing small and large farms, according to the area planted to a specific crop.
For large farms, a maximum of five large farms are chosen for the whole province. Classification for large farms is based on the cut-off on area planted by island groupings. For small farms, a two-stage sampling design is employed. The primary sampling units (PSUs) are the producing cities/municipalities of the specific crop and the secondary sampling units (SSUs) are the farmer-producers in the top five producing cities/municipalities.
For small farms of crops covered under the Farm Prices Survey (FPS), the top five producing cities/municipalities per crop in a province are selected to represent the PSUs. Five farmer-producers shall be interviewed in each selected city/municipality which will represent the SSUs.
For small farms of all other crops not covered under the FPS, only the top two to three producing cities/municipalities are chosen as the primary sampling units. Three farmer-producers in each city/municipality are enumerated as secondary sampling units. The foregoing scheme is implemented for each crop being covered. Under this scheme, a farmer-producer may serve as a respondent for several crops as long as he/she plants and harvests during the reference quarter and the same period last year.
The above scheme was adopted since 2005 to date.
For large farms, a maximum of five large farms are chosen for the whole province. Classification for large farms is based on the cut-off on area planted by island groupings. For small farms, a two-stage sampling design is employed. The primary sampling units (PSUs) are the producing cities/municipalities of the specific crop and the secondary sampling units (SSUs) are the farmer-producers in the top five producing cities/municipalities.
For small farms of crops covered under the Farm Prices Survey (FPS), the top five producing cities/municipalities per crop in a province are selected to represent the PSUs. Five farmer-producers shall be interviewed in each selected city/municipality which will represent the SSUs.
For small farms of all other crops not covered under the FPS, only the top two to three producing cities/municipalities are chosen as the primary sampling units. Three farmer-producers in each city/municipality are enumerated as secondary sampling units. The foregoing scheme is implemented for each crop being covered. Under this scheme, a farmer-producer may serve as a respondent for several crops as long as he/she plants and harvests during the reference quarter and the same period last year.
The above scheme was adopted since 2005 to date.
Response rate
100%
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 large and for small farms. The overall percent change for the province accounts for both large 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 Chief Statistical Specialists (CSSs) and their staff.
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2021-02-17 | 2021-02-27 | January to March |
| 2021-05-20 | 2021-05-31 | April to June |
| 2021-08-19 | 2021-08-31 | July to September |
| 2021-11-18 | 2021-11-29 | October to December |
Time period(s)
| Start | End | Cycle |
|---|---|---|
| 2021-01-01 | 2021-03-31 | January to March |
| 2021-04-01 | 2021-06-30 | April to June |
| 2021-07-01 | 2021-09-30 | July to September |
| 2021-10-01 | 2021-12-31 | October to December |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
Field supervision is undertaken by the PSO staff in their respective cities/municipalities of assignments. The Chief Statistical Specialist (CSS) serves as overall supervisor in the province, while the Regional Director (RD) is the overall supervisor in the region. The Central Office technical staff also make visits in some provinces to observe the field operations.
Among the responsibilities of the supervisor are to conduct training for Statistical Researchers (SR) prior to data collection, conduct of spot check and backcheck during and after data collection, edit completed survey returns, address problems encountered by the SRs under his/her supervision and report to Central Office the significant findings that may contribute to the analysis of the survey results.
Among the responsibilities of the supervisor are to conduct training for Statistical Researchers (SR) prior to data collection, conduct of spot check and backcheck during and after data collection, edit completed survey returns, address problems encountered by the SRs under his/her supervision and report to Central Office the significant findings that may contribute to the analysis of the survey results.
Questionnaires
The collection form is in English language. This captures the volume of production, area planted/harvested, and number of bearing trees/hills/vines for the current quarter and same period of last year. A remarks column is also provided for the explanation on the change/s in the volume of production this year against last year. The instrument is a one-page collection form which could accommodate five crops per commodity groupings, namely: Non-Food and Industrial Crops, Fruit Crops, and Vegetables and Root Crops. The number of sheets may vary if the farmer-producer is a sample for more than five crops from the list to be monitored in the city/municipality.
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| Philippine Statistics Authority | PSA | National Economic and Development Authority |
| Sugar Regulatory Administration | SRA | Department of Agriculture |
| Philippine Coconut Authority | PCA | Office of the President |
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 collection forms. The yield per unit area or kilograms per bearing tree and bearing tree per hectare were computed and verified with the respondents when these are out of range. The range varies by crop and reference period. Also, the farmer-producer as the respondent is asked on the climatic condition during the previous quarter up to the current quarter and explanations on the change in the level of volume of production against the same period a year ago.
During the Provincial Data Review (PDR), Regional Data Review (RDR), and National Data Review (NDR), data editing is done after encoding and data transfer from one form or system to another during the generation of estimates.
During the Provincial Data Review (PDR), Regional Data Review (RDR), and National Data Review (NDR), data editing is done after encoding and data transfer from one form or system to another during the generation of estimates.
Data Appraisal
Other forms of data appraisal
To ensure the quality of its statistical services, the PSA has mainstreamed in its statistical system for generating production statistics, a quarterly data review and validation process. This is undertaken at the provincial, regional, and national levels to incorporate the impact of events not captured in the survey.
The data review process starts at the data collection stage and continues up to the processing and tabulation of results. However, data examination is formalized during the provincial data review since it is at this stage where the data at the province level is analyzed as a whole. The process involves analyzing the survey data in terms of completeness, consistency among variables, trend and concentration of the data, and presence of extreme observations.
Across 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 data review process starts at the data collection stage and continues up to the processing and tabulation of results. However, data examination is formalized during the provincial data review since it is at this stage where the data at the province level is analyzed as a whole. The process involves analyzing the survey data in terms of completeness, consistency among variables, trend and concentration of the data, and presence of extreme observations.
Across 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
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| National Statistician and Civil Registrar General | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
Disclaimer and copyrights
Disclaimer
The data users/researchers acknowledge that the PSA bears 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.
Copyrights
Crops Production Survey, Philippine Statistics Authority. All content is public domain unless otherwise stated.
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| Crops Statistics Division (CSD) | Philippine Statistics Authority | csd.staff@psa.gov.ph | www.psa.gov.ph |
| Knowledge Management and Communications Division (KMCD) | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |