Crops Production Survey 2018
Philippines, 2018
Get Microdata
Reference ID
PHL_CPS_2018_v01_EN_M_v01_A_OCS
Producer(s)
Philipine Statistics Authority (PSA)
Collections
Metadata
Created on
Jan 13, 2023
Last modified
Jan 31, 2023
Page views
397
Downloads
93
Identification
Survey ID Number
PHL_CPS_2018_v01_EN_M_v01_A_OCS
Title
Crops Production Survey 2018
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 Office 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 other agencies.
The CrPS 2017 covered a total of 282 crops. The individual estimates of the 19 highlighted items in the quarterly Performance of Agriculture Report (PAR) are released at the national level while the rest are lumped as Other Crops. Provincial level estimates are available on an annual basis.
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 Office 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 other agencies.
The CrPS 2017 covered a total of 282 crops. The individual estimates of the 19 highlighted items in the quarterly Performance of Agriculture Report (PAR) are released at the national level while the rest are lumped as Other Crops. Provincial level estimates are available on an annual basis.
Abstract
The 2018 CrPS is conducted quarterly to generate production estimates for crops other than palay and corn at the national, regional and provincial levels disaggregation. Production data generated from the CrPS are inputs to the Performance of Agriculture Report (PAR) and to the preparation of the Gross Domestic Product (GDP). Moreover, 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.
Of the 282 crops covered, the individual estimates of the 19 crops highlighted in the quarterly PAR are released at the national level, while the rest were lumped as Others. Provincial level estimates are available on an annual basis.
The survey adopts two-stage sampling with the city/municipality as the primary sampling unit and the households as the secondary sampling unit.
Of the 282 crops covered, the individual estimates of the 19 crops highlighted in the quarterly PAR are released at the national level, while the rest were lumped as Others. Provincial level estimates are available on an annual basis.
The survey adopts two-stage sampling with the city/municipality as the primary sampling unit and the households as the secondary sampling unit.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Agricultural holdings
Scope
Notes
The scope of the survey includes: volume of production and area harvested for temporary crops; volume of production, area planted and number of bearing trees/hills/vines for permanent crops.
Topics
| Topic | Vocabulary |
|---|---|
| Agriculture, forestry, fisheries | Philippine Statistics Authority |
Coverage
Geographic Coverage
National and regional
Universe
All small and large farms/farmer-producers of all agricultural crops, other than palay and corn, nationwide.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Philipine Statistics Authority (PSA) | National Economic and Development Authority (NEDA) |
Producers
| Name | Role |
|---|---|
| Sugar Regulatory Administration | data collection and validation for canes milled for centrifugal sugar |
| Philippine Coconut Authority | data collection and validation for coconut |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Government of the Philippines | GOP | Full funding |
Sampling
Sampling Procedure
The survey employs two-stage sampling design with city/municipality as the primary sampling unit (psu) and farmer-producer as the secondary sampling unit (ssu). Farms are classified as small and large farms according to the area planted to a specific crop.
For small farms, crops are classified based on coverage of the Farm Price Survey (FPS), i.e. FPS and non-FPS. For crops under FPS, the top five producing cities/municipalities based on the volume of production were chosen as psus. In each city/municipality, five sample farmer-producers were enumerated as ssus.
For small farms of all other crops not covered under FPS, top two to three producing cities/municipalities were chosen as psus. In each city/municipality, three sample farmer-producers as were enumerated as ssus.
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 and same period of last year.
Classification for large farms is based on the cut-off on area planted. Each survey round covers a maximum of five large farms by crop. The above scheme was adopted since 2005 to date.
For small farms, crops are classified based on coverage of the Farm Price Survey (FPS), i.e. FPS and non-FPS. For crops under FPS, the top five producing cities/municipalities based on the volume of production were chosen as psus. In each city/municipality, five sample farmer-producers were enumerated as ssus.
For small farms of all other crops not covered under FPS, top two to three producing cities/municipalities were chosen as psus. In each city/municipality, three sample farmer-producers as were enumerated as ssus.
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 and same period of last year.
Classification for large farms is based on the cut-off on area planted. Each survey round covers a maximum of five large farms by crop. The above scheme was adopted since 2005 to date.
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 Data Collection
| Start | End | Cycle |
|---|---|---|
| 2018-02-17 | 2018-02-28 | Quarter 1 |
| 2018-05-19 | 2018-05-31 | Quarter 2 |
| 2018-08-21 | 2018-08-31 | Quarter 3 |
| 2018-11-20 | 2018-11-30 | Quarter 4 |
Data Collection Mode
Face-to-face [f2f]
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Crops Statistics Division (CSD) | Philippine Statistics Authority | [email protected] | Link |
Confidentiality
The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO
Access conditions
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
- The micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
- The micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Metadata production
DDI Document ID
DDI_PHL_CPS_2018_v01_EN_M_v01_A_OCS
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Crops Statistics Division | CSD | Philippine Statistics Authority (PSA) | Metadata producer |
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |