Crops Production Survey 2017
Philippines, 2017
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PHL_2017_CrPS_v01_EN_M_v01_A_OCS
Crops Production Survey 2017
| Name | Country code |
|---|---|
| Philippines | PHL |
Agricultural Survey [ag/oth]
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 questions 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 (BAE) field staff and Agricultural Technicians (ATs) detailed with the BAE 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 BAE Central Office. Data were disaggregated at the regional level.
In 1987 under Executive Order No. 116 when Bureau of Agricultural Statistics (BAS) assumed the mandate as principal agency responsible for Agricultural Statistics, replacing BAE, some improvements were 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 (PSUs), the top 5 producing barangays as the Secondary Sampling Units (SSUs) and 5 farmer- producers as the Ultimate Sampling Units (USUs). 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 for 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.
The 2017 Crops Production Survey (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.
Out 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 municipality as the primary sampling unit and the households as the secondary sampling unit.
Sample survey data [ssd]
Agricultural holdings
Scope
The survey captures volume of production in kilograms, area planted/ harvested, and number of growing trees for the current quarter and same period of the current year. A remarks column is also provided for the explanation on the changes in the present year against the previous year. It also serves as summary worksheet for the small and large farms and provincial summary.
Coverage
National Coverage
All small and large farms/farmer-producers of all agricultural crops, other than palay and corn, nationwide.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Philippines Statistics Authority | National Economic and Development Authority (NEDA) |
| Name | Affiliation | Role |
|---|---|---|
| Sugar Regulatory Administration | Department of Agriculture | Data collection and validation for canes milled for centrifugal sugar |
| Philippine Coconut Authority | Department of Agriculture | Data collection and validation for coconut |
| Name | Role |
|---|---|
| Government of the Philippines | Full Funding |
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 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 municipalities based on the volume of production were chosen as PSUs. In each 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 municipalities were chosen as PSUs. In each municipality, three sample farmer-producers were enumerated as SSU.
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/or harvests during the reference quarter.
Classification for large farms is based on the cut-off on area planted. Each survey round covers a maximum of 5 large farms by crop. The above scheme was adopted since 2005 to date.
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 Provincial Statistical Officers (PSOs) and their staff.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2017-02-17 | 2017-02-28 | Quarter 1 |
| 2017-05-19 | 2017-05-31 | Quarter 2 |
| 2017-08-21 | 2017-08-31 | Quarter 3 |
| 2017-11-20 | 2017-11-30 | Quarter 4 |
Data Access
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Crops Statistics Division | Philippines Statistics Authority | [email protected] | http://www.psa.gov.ph/ |
| Knowledge Management and Communications Division | Philippines Statistics Authority | [email protected] | http://www.psa.gov.ph/ |
Metadata production
DDI_PHL_2017_CrPS_v01_EN_M_v01_A_OCS_FAO
| Name | Affiliation | Role |
|---|---|---|
| Office of Chief Statistician | Food and Agricultural Organization | Metadata adapated for FAM |
| Crop Statistics Division | Philippines Statistics Authority | Documentation of study |
Metadata version
PHL_2017_CrPS_v01_EN_M_v01_A_OCS_v01