Crops Production Survey 2016
Philippines, 2016
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Reference ID
PHL_2016_CrPS_v01_EN_M_v01_A_OCS
Producer(s)
Philipine Statistics Authority
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Metadata
Created on
May 15, 2020
Last modified
Jan 31, 2023
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1052
Identification
Survey ID Number
PHL_2016_CrPS_v01_EN_M_v01_A_OCS
Title
Crops Production Survey 2016
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 (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 BAS assumed the mandate as principal agency responsible for Agricultural Statistics, replacing BAE, 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, fibre, cotton, coconut and tobacco were supplemented and validated with data from other agencies.
The CrPS 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.
'In 1987 under Executive Order No. 116 when BAS assumed the mandate as principal agency responsible for Agricultural Statistics, replacing BAE, 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, fibre, cotton, coconut and tobacco were supplemented and validated with data from other agencies.
The CrPS 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 CrPS is conducted quarterly to generate production estimates for crops other than palay and corn at the national, regional and provincial levels disaggregation. 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.
Out of the 282 crops covered, the individual estimates of the 19 crops highlighted in the quarterly Performance of Agriculture Report are released at the national level, while the rest were lumped as "others". 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.
Out of the 282 crops covered, the individual estimates of the 19 crops highlighted in the quarterly Performance of Agriculture Report are released at the national level, while the rest were lumped as "others". 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.
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 Coverage
Universe
The survey covers all small and large farms producers of all agricultural crops, other than palay and corn, nationwide .
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Philipine Statistics Authority | National Economic and Development Authority |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Sugar Regulatory Administration | DA | data collection and validation for canes milled for centrifugal sugar |
| Philippine Coconut Authority | Office of the President | 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 municipality as the Primary Sampling Unit (PSU) and farmer-producer as the Secondary Sampling Unit (SSU).
Farms are classified as small and large 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 PSUs. In each municipality, five sample farmer-producers were enumerated as SSUs.
For small farms of all other crops not covered under farm price survey, top two to three producing municipalities were chosen as Primary Sampling Units (PSUs). In each municipality, three sample farmer-producers as 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.
Farms are classified as small and large 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 PSUs. In each municipality, five sample farmer-producers were enumerated as SSUs.
For small farms of all other crops not covered under farm price survey, top two to three producing municipalities were chosen as Primary Sampling Units (PSUs). In each municipality, three sample farmer-producers as 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.
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 Provincial Statistical Officers (PSOs) and their staff based on their best judgment and assessment.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2016-02-18 | 2016-02-27 | Quarter 1 |
| 2016-05-20 | 2016-05-29 | Quarter 2 |
| 2016-08-21 | 2016-08-31 | Quarter 3 |
| 2016-11-18 | 2016-11-29 | 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 collection form. 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 respondents are asked on the climatic condition during the previous quarter up to the current 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.
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.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| National Statistician | Philippine Statistics Authority | [email protected] | www.psa.gov.ph |
| Lisa Grace S. Bersales | Philippine Statistics Authority | [email protected] | www.psa.gov.ph |
Access conditions
See http://psada.psa.gov.ph/index.php/access-conditions
Metadata production
DDI Document ID
DDI_PHL_2016_CrPS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of the Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| Crops Statistics Division | CSD | Philippine Statistics Authority | Documentation of the study |
DDI Document version
PHL_2016_CrPS_v01_EN_M_v01_A_OCS_v01