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Metadata for National Agricultural Statistics of the Philippines

# Chapter 2. Major Domains and Selected Indicators of Agricultural Statistics

### B.Livestock and Poultry

#### Data Processing

Survey returns of BLPS are processed manually using MS Excel Application. The output tables generated reflect provincial totals for each data items. These outputs are summarized manually into a validation sheet format called the "Supply Disposition Table" where provincial heads acting as data analysts together with the "livestock point person" validate the provincial summary data using the "S-D Technique". During this stage of data validation at the provincial level check data and other secondary data such as inflow/outflow of animals, per capita consumption, damage/occurrence of pests/diseases are made available as indicators to assess the consistency of survey results with the current/situation of the industry.

The regional offices are responsible for consolidating the provincial validation sheets/S-D tables to come up with the Regional Summary which is also subject for review and validation. The Regional summary contains the breakdown of provincial S-D worksheet.

At the Central Office, compilation of the summary tables by region and by province is done by respective commodity specialists in order to come up with the national S-D worksheet that is ready for review and validation. Also, check data/secondary data are made available as inputs to data review and analysis.

#### a.Provincial Estimates

The provincial estimate is given as follows:

${\stackrel{^}{Y}}_{ip}=\sum _{j=1}^{2}{N}_{j}\sum _{k=1}^{{n}_{j}}\frac{{y}_{ijk}}{{n}_{j}}$
where:
${\stackrel{^}{Y}}_{ip}$
- estimated total number of head of the jth animal type in the pth province during the reference period;

Yijk - observation from the kth sample household in the jthcategory reporting the jth animal type;

nj - number of responding households in the jth category

Nj - total number of households in the jth category

J - number of household in the categories that is, one (1)= farming household; two (2)= non-farming household

#### b.Regional and National Estimates

The regional and national estimates for the ith animal type are obtained by summing up all the estimates for that animal type across all provinces in the region and all provinces across all regions, respectively.

#### Data Processing (Swine and Broiler)

A computerized system called the Quarterly Survey of Commercial Swine Farm System (QSCSFS) and Quarterly Survey of Commercial Broiler Farm System (QSCBFS) were developed for the use of processors to generate the swine and broiler information. After preparing the questionnaire for data capture, the use of the QSCSF and QSCBF systems are the second activity in the computerized data processing. It involves procedures like system installation, accessing the system, data entry, updating of master file and table generation.

This documentation serves as a data processing guide for the QSCSFS and QSCBFS systems developed under the Census Survey Processing (CSPro) software.

The data generated by CSPro software for both swine and broiler should be an input in coming up with an S-D worksheet which shall be subject for review and validation using the same approach as described in the BLPS.

On the other hand, processing of survey returns for other livestock and poultry, i.e. cattle, carabao, goat, duck, and layer is being done manually using MS Excel application as with the BLPS.

#### a.Provincial Estimates

Estimation of totals for each of the provinces covered in the survey depends on whether the farms are completely enumerated or sampled. For provinces where farms are completely enumerated (denoted by p'), the provincial total is obtained by summing up all the observations for the province that is,
${X}_{\stackrel{´}{p}}=\sum _{c=1}^{{N}_{\stackrel{´}{p}}}{X}_{\stackrel{´}{p}c}+\sum _{j=1}^{{N}_{\stackrel{´}{p}m}}{X}_{\stackrel{´}{p}mj}$
where:

Xp´ - total for the province p´

Xp´mj - observation of the jth farm located in the province p´ whose information are gathered from its Metro Manila (MM) office

Np´m - ttoal number of farms located in the province p´ but whose information are gathered from its MM office

Xp´c - observation from the cth farm in the province p´

Np´ - total number of farms in the province p´

The total for Metro Manila includes observations for all farms located in Metro Manila only. Farms located in the province outside of MM but whose data are gathered from their  MM office will be accounted in the province where their farms are located.

For provinces where sampling is employed,(denoted by p), the estimated provincial total is obtained by direct expansion of the farm level observations within a stratum, then aggregating the stratum estimate across all strata; that is

${\stackrel{^}{x}}_{p}=\sum _{s-1}^{H}{{\stackrel{^}{x}}_{}}_{ps}$
where:

px - estimated total for the sth stratum of the pth province, that is

${\stackrel{^}{x}}_{ps}=\frac{{N}_{ps}}{{n}_{ps}}\sum _{i=1}^{{n}_{ps}}{x}_{psi}$

xpsi - observation from the jth sample farm in the sth stratum in the pth province

Nps - total number of farms in the sth stratum of the pth of the pth province

nps - number of sample farms in the sth stratum of the pth province

H - number of strata in the pth province

#### b.Regional and National Estimates

Estimates at the regional and national levels are made up of two components: totals for provinces where complete enumeration is employed (), and estimates for the provinces where sampling is employed (p).  Thus, the regional-level estimate is expressed as:

${\stackrel{^}{x}}_{reg}={x}_{\stackrel{´}{p}}+{}^{\stackrel{´}{}}{\stackrel{^}{x}}_{p}$

While the national-level estimate is given by the formula:

${\stackrel{^}{x}}_{phil}={x}_{\stackrel{´}{p}}+{\stackrel{^}{x}}_{p}$

#### Dairy Production

Data gathered from the Semestral Dairy Surveys is done manually using the MS Excel Application. This software was used for data entry and generation of output tables.

#### a.Provincial Estimates

Estimated total milk production for a province:

${\stackrel{^}{Y}}_{p}={M}_{p}\frac{1}{{n}_{p}}\sum _{i=1}^{{n}_{p}}\frac{{y}_{pi}}{{m}_{pi}}$

Estimated total number of animals per category for a province:

${\stackrel{^}{A}}_{p}={N}_{p}{p}_{p},{P}_{p}=\frac{{a}_{p}}{{k}_{p}}$

#### b.National Estimates

Estimated total milk production in the Philippines:

$\stackrel{^}{Y}=M\frac{1}{l}\sum _{p=l}^{l}\frac{1}{{n}_{p}}\sum _{i=1}^{{n}_{p}}\frac{{y}_{pi}}{{m}_{pi}}$

Estimated total number of animals per category in the Philippines:

$\stackrel{^}{A}=Np\cdot p=\frac{a}{k}$

#### Data Processing

The Survey of Abattoirs and Dressing Plants requires daily recording of slaughter by the meat inspectors assigned in the facility. The NMIS Meat Inspectors stationed at the accredited abattoirs and dressing plants record slaughter data either by using the prescribed BAS-NMIS common slaughter form or using a logbook. Likewise, LGU Meat Inspectors, Market Administrators, Provincial/City Veterinarians assigned in the LGU-supervised abattoirs either accomplish the BAS-NMIS common slaughter form or record data using a logbook. BAS in turn collects the duplicate BAS-NMIS common slaughter or copy the data using the logbook from both NMIS and LGU.

The data gathered are processed using MS Excel Application. The system provides for consolidation of outputs at the regions and at the national level, by province, by region and by abattoirs and dressing plants and by month. Output tables presented on a monthly basis for review and analysis particularly using growth rates.

#### Manual Editing

The BAS consolidates data coming from the accredited and locally registered abattoirs and dressing plants. The BAS personnel reviews and verifies by looking at the available time series data. NMIS is being consulted for any abrupt changes from the previous reference quarter and ask for possible reasons for the changes. The Provincial Agricultural Statistics Officer (PASO) supervises the consolidation and review of slaughter data in the province. The BAS Regional Agricultural Statistics Officer (RASO) supervises the consolidation, review and analysis of slaughter data in all provinces within the region.

#### Estimation and/or Compilation Procedure

BAS personnel (point person for the activity) summarizes the data into a quarterly total with monthly breakdown of animals slaughtered/dressed using BAS-NMIS common slaughter form. The compiled and estimated BAS-NMIS common slaughter form is submitted to the Regional Operation Center (ROC) to come up with a regional slaughtered abattoir and dressing plant (SADP) data series and to the Central Office to come up with a regional and national SADP data series and SADP database.

#### Revision of Estimates

Please refer to the discussion of the topic under Palay and Corn Production Data System.