Palay and Corn Situation in ARMM (July 2018 Round)

January 14, 2019Special Release Ref No.: SR-ARMM-19-003

Palay Production in ARMM increased by 9.5 percent in the second quarter of 2018.

In the second quarter of 2018, the volume of palay production in ARMM accounted for about 10.8 percent of all regions in Mindanao. It was estimated at 82,582 metric tons with an increase of 9.5 percent from 75,387 metric tons in the same period of 2017.

Majority of produced palay in ARMM were grown in rainfed farms with a rate of 62.1 percent of the total production in the region. Production from this type of ecosystem increased by 4.5 percent, from 49,033 metric tons in the second quarter of 2017 to 51,284 metric tons in the same period of 2018. On the other hand, the volume of production of palay from irrigated farms increased by 18.8 percent from 26,354 metric tons to 31,298 metric tons in the said period, respectively.

Figure 1. Volume of Palay Production by Ecosystem, ARMM: Second Quarters of 2017 and 2018 (in metric tons)
Source: Philippine Statistics Authority

Maguindanao province had the highest level of produced palay in ARMM with a rate of 63.3 percent of the regional estimate. The volume of the palay production in this province increased by 33.4 percent, from 39,212 metric tons in the second quarter of 2017 to 52,314 metric tons in the same period of 2018. Basilan also had a positive outcome in the said periods with more than twice the palay production of the previous period, while Lanao del Sur had a negative outcome with a 17.7 percent decrease. There were no data of production gathered in the province of Sulu and Tawi-Tawi.

Figure 2. Volume of Total Palay Production by Province, ARMM: Second Quarters of 2017 and 2018 (in metric tons)
Source: Philippine Statistics Authority

Irrigated Palay Production in ARMM

Majority of the palay produced from irrigated lands in ARMM came from Maguindanao with a rate of 55.6 percent of the total irrigated palay production in the region. The volume of irrigated palay production in this province increased by 84.2 percent, from 9,452 metric tons in the second quarter of 2017 to 17,409 metric tons in the same period of 2018.

Figure 3. Volume of Irrigated Palay Production by Province, ARMM: Second Quarters of 2017 and 2018 (in metric tons)
Source: Philippine Statistics Authority

Rainfed Palay Production in ARMM

Similar to irrigated palay production, the province of Maguindanao also had the largest contribution in the rainfed production in ARMM with a rate of 82.6 percent of the total production in the region. The volume of this production in this province increased by 17.3 percent from 29,760 metric tons in the second quarter of 2017 to 34,905 metric tons in the same period of 2018.

Figure 4. Volume of Rainfed Palay Production by Province, ARMM: Second Quarters of 2017 and 2018 (in metric tons)
Source: Philippine Statistics Authority

Corn Production in ARMM decreased by 17.5 percent in the second quarter of 2018.

In the second quarter of 2018, the volume of corn production in ARMM accounted for about 28.6 percent of all the regions in Mindanao. It was estimated at 121,651 metric tons with a 17.5 percent decrease from 147,531 metric tons in the same period of 2017. Majority of produced corns in ARMM were white corns with a rate of 78.3 percent of the total corn productions in the region. The volume of production in this type of corn increased by 6.5 percent, from 89,455 metric tons in the second quarter of 2017 to 95,318 metric tons in the same period of 2018. On the other hand, the volume of production of yellow corn had a decrease of 54.7 percent from 58,076 metric tons to 26,333 metric tons in in the said period, respectively.

Figure 5. Volume of Corn Production by Ecosystem, ARMM: Second Quarters of 2017 and 2018 (in metric tons)
Source: Philippine Statistics Authority

Maguindanao province had the most produced corn in ARMM in 2018 with a rate of 55 percent of the total corn produced in the region. There was a decrease of about 40.8 percent of the volume of corn production in the said province, from 113,054 metric tons in the second quarter of 2017 to 66,938 metric tons in the same period of 2018. On the other hand, all remaining provinces had a positive outcome in the said periods. There were no data of production gathered in the province of Sulu and Tawi-Tawi.

Figure 6. Volume of Total Corn Production by Province, ARMM: Second Quarters of 2017 and 2018 (in metric tons)
Source: Philippine Statistics Authority

White Corn Production in ARMM

Majority of the produced white corn in ARMM came from Lanao del Sur with a rate of 54.9 percent of the total white corn produced in the region. The volume of white corn production in this province increased by 61.9 percent, from 32,313 metric tons in the second quarter of 2017 to 52,308 metric tons in the same period of 2018.

Figure 7. Volume of White Corn Production by Province, ARMM: Second Quarters of 2017 and 2018 (in metric tons)
Source: Philippine Statistics Authority

Yellow Corn Production in ARMM

The province of Maguindanao had the most contribution in yellow corn production in ARMM with a rate of 92.2 percent of the total yellow corn produced in the region. The volume of yellow corn production of this province decreased by 56.9 percent, from 56,333 metric tons in the second quarter of 2017 to 24,288 metric tons in the same period of 2018.

Figure 8. Volume of Yellow Corn Production by Province, ARMM: Second Quarters of 2017 and 2018 (in metric tons)
Source: Philippine Statistics Authority

Palay and Corn Production Survey

            Palay Production Survey and Corn Production Survey (PPS and CPS) are some of the major agricultural surveys conducted by the Philippine Statistics Authority (PSA). These generate estimates and forecasts on palay and corn production, area and yield and other production-related data that serve as inputs for policy making and programs on palay/rice.

            The data generated from this survey are disseminated through special releases, bulletin and publications, namely:

Special Release

  • Palay and Corn Situation and Outlook
  • Seasonally Adjusted Rice Production and Prices

Bulletin (quarterly)

  • Rice and Corn Quarterly Bulletin

Publication (annual)

  • Palay Production in the Philippines
  • Corn Production in the Philippines

 The collections of data of these surveys are undertaken by hired Statistical Researchers (SRs). The SRs are trained prior to field operation to ensure that the procedures and concepts are   understood. The training includes mock interviews and dry-run exercises.

 PPS and CPS are quarterly surveys which cover sample farming households in sample barangays in all provinces except Batanes and include Zamboanga and Davao City. These employ   replicated two-stage stratified sampling design with the barangay as the primary sampling unit (psu) and farming household as the secondary sampling unit (ssu). The barangays are stratified   based on their palay and corn area and are selected using probability proportional to size, (pps and cps) scheme. Four replicates, four independent sets of sample barangays per stratum are   drawn. From the selected barangays, households were drawn through systematic sampling.

 The data gathered in this survey are as follows: production, area planted/harvested and yield by ecosystem and seed type; usage of seeds, fertilizer and pesticides; source of irrigation water and   adequacy, monthly distribution of production and area harvested; farm household disposition of production; area with standing crop, farmer’s planting intention for the quarter; and awareness and   availment of palay and corn program interventions. The reference period for each survey round is shown below:

Survey Round Reference Round
April Round January to March
July Round April to June
October Round July to September
January Round October to December

Definition of Terms:

Palay Household – the sample household operates an agricultural land, whole or part of which is palay area within the nine-month period, or the land is temporarily in-fallow but the respondent declares that it is devoted to palay production. Specifically, any of the following conditions must be satisfied:

  1. Household harvested palay during the reference quarter;
  2. Household has standing palay crop in the farm;
  3. Household intends to plant within the succeeding quarter; and
  4. The land is temporarily in-fallow but the respondent declares that it is devoted to palay production.

Non-Palay Household – household operates an agricultural land which is not intended for/devoted to palay production, i.e., zero palay production, no standing palay crop and planting intention.

Corn Household – the sample household operates an agricultural land, whole or part of which is corn area within the nine-month period, or the land is temporarily in-fallow but the respondent          declares that it is devoted to palay production. Specifically, any of the following conditions must be satisfied:

  1. Household harvested corn during the reference quarter;
  2. Household has standing corn crop in the farm;

a.    Household intends to plant within the succeeding quarter; and

b.    The land is temporarily in-fallow but the respondent declares that it is devoted to corn production.

Non-Corn Household – household operates an agricultural land which is not intended for/devoted to corn production, i.e., zero corn production, no standing corn crop and planting intention.

Technical Notes:

                        Production refers to the quantity produced and actually harvested for a particular crop during the reference period. For palay and corn, harvest area refers to the actual area harvested/to be harvested during the reference quarter. Estimates and forecasts of production and harvest area of palay and corn are generated from the Quarterly Palay and Corn Production Survey (PCPS) of which there are four survey rounds in a year that is January, April, July and October. The following are the data taken from these surveys:

               a.      Production estimates of the previous quarter for each survey round;

               b.      Forecast one quarter ahead based on the standing crop; and

               c.      Forecast two quarters ahead based on planning intentions.

 

(Sgd) HJI. RAZULDEN A. MANGELEN, MPA, MDM
(Chief Statistical Specialist)
Officer-in-Charge
RSSO-ARMM