Integrated Farm Household Survey 2003
Philippines, 2003
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Reference ID
PHL_2003_IFHS_v01_EN_M_v01_A_OCS
Producer(s)
Bureau of Agricultural Statistics
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Metadata
Created on
May 29, 2020
Last modified
Jan 31, 2023
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Identification
Survey ID Number
PHL_2003_IFHS_v01_EN_M_v01_A_OCS
Title
Integrated Farm Household Survey 2003
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Other Household Survey [hh/oth]
Series Information
The Integrated Farm Household Survey (IFHS) was conducted to generate updated benchmark information on the socio-economic conditions of the farming population. Benchmark surveys are conducted to update the reference point that serves as a standard for comparison.
Abstract
The Integrated Farm Household Survey (IFHS) supported the agricultural Research and Development Program in terms of benchmark data on the characteristics of farms and farmers. The IFHS results provided inputs for the development and/or improvement of the performance indicators system in agriculture. Further, the survey results could quantify the impact of agricultural policies of the government.
The survey gathered household level data on the following; Household Information, Farm Particulars, Inventory of Farm Investments, Household Income, Household Expenditures and Credit Information.
Specifically, the following data are generated:
1. Level, structure and/or sources of farm household income;
2. Characteristics of farms/farm enterprises and the farm households;
3. Access of farm households to agricultural support services;
4. Farm management such as input use and cultivation practices;
5. Expenditure patterns of the farm households;
6. Farm and households investments; and
7. Other socio-economic data.
The survey gathered household level data on the following; Household Information, Farm Particulars, Inventory of Farm Investments, Household Income, Household Expenditures and Credit Information.
Specifically, the following data are generated:
1. Level, structure and/or sources of farm household income;
2. Characteristics of farms/farm enterprises and the farm households;
3. Access of farm households to agricultural support services;
4. Farm management such as input use and cultivation practices;
5. Expenditure patterns of the farm households;
6. Farm and households investments; and
7. Other socio-economic data.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
The Integrated Farm Household Survey (IFHS) included the following modules:
- Household Information
- Farming Characteristics
A. Characteristics of Agricultural Holding
B. Agricultural Crops
C. Livestock and Poultry
D. Capture Fishing and Aquaculture
E. Special Agricultural Activities
F. Home Processing of Agricultural Products
G. Marketing of Agricultural Products
- Inventory of Farm Investments
- Household Income
- Household Expenditure
- Credit Information
- Household Information
- Farming Characteristics
A. Characteristics of Agricultural Holding
B. Agricultural Crops
C. Livestock and Poultry
D. Capture Fishing and Aquaculture
E. Special Agricultural Activities
F. Home Processing of Agricultural Products
G. Marketing of Agricultural Products
- Inventory of Farm Investments
- Household Income
- Household Expenditure
- Credit Information
Coverage
Geographic Coverage
National Coverage.
Universe
The survey covered farm households with farming/fishing operations.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics | Department of Agriculture |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Bureau of Agricultural Research | BAR | Funding |
Sampling
Sampling Procedure
The IFHS utilized different sampling frames at the barangay and household levels. At the barangay level, the list of agricultural barangays covered in the 1999 Barangay Screening Survey (BSS) served as the sampling frame while at the household level, the listing of households generated from the 2000 Census of Population and Housing (CPH) of the National Statistics Office (NSO) was used as basis for drawing the samples. The 2000 CPH listing was utilized as sampling frame for the IFHS despite the limitation that households were not classified into farming and non-farming categories for two major considerations. First, the 2000 CPH provided the most updated lists of households by barangay. Second, budgetary constraints precluded the conduct of household screening in the selected sample barangays for the survey.
The domain of the survey was the province. A two-stage stratified sampling design was adopted with the barangay as primary sampling unit and the farming household as secondary sampling unit. The number of farming households was used as the stratification variable. Primary and secondary sampling units were both drawn using simple random sampling.
In getting the number of barangays as representative of the domain (province) level, the total number of agricultural barangays in the province reported in the 1999 Barangay Screening Survey (BSS) was used in proportionately allocating the target sample size of around 600 barangays to the Integrated Farm Household Survey (IFHS) provinces. Due to budgetary consideration, the total number of barangays included for small and large agricultural sampling of households with at least one member engaged in agricultural activity. provinces was set at six (6) and nine (9) barangays, respectively, depending on the computed total sample size for the province, that is,
n' = 6 if n < 6, and
n' = 9 otherwise.
Ten (10) sample households were allocated for each sample barangay. This procedure resulted in total sample size of 592 barangays and 5,920 households for the entire country.
A general feature of the design was the division of the primary sampling units into strata of approximately equal sizes relative to the number of farming households reported in the 1999 BSS. The division of the barangays within the province and the drawing of sample was done as follows:
The barangays were arrayed in descending order based on the total number of farming households. These barangays were then divided into three (3) strata such that the cumulative total number of farming households of all the barangays in any one stratum was approximately of the same magnitude as the rest of the individual strata. Thus,
Stratum 1 barangays constitute all "large barangays",
Stratum 2 barangays constitute all "medium barangays", and
Stratum 3 barangays constitute all "small barangays"; with respect to total number of farming households.
Equal sample sizes were allocated and drawn from the three strata, resulting in two (2) and three (3) sample barangays, respectively, per stratum depending on the sample size for the province. Selection of sample barangays wss done at the BAS Central Office using simple random sampling. The generated lists of sample barangays were then submitted to NSO for the drawing of sample households and for the
photocopying of corresponding barangay maps.
Drawing of sample households was made at the NSO field offices using simple random sampling of households with at least one member engaged in agricultural activity. The generated lists of samples were sent back to BAS Central Office for control and distribution to concerned Provincial Operations Centers (POCs).
The domain of the survey was the province. A two-stage stratified sampling design was adopted with the barangay as primary sampling unit and the farming household as secondary sampling unit. The number of farming households was used as the stratification variable. Primary and secondary sampling units were both drawn using simple random sampling.
In getting the number of barangays as representative of the domain (province) level, the total number of agricultural barangays in the province reported in the 1999 Barangay Screening Survey (BSS) was used in proportionately allocating the target sample size of around 600 barangays to the Integrated Farm Household Survey (IFHS) provinces. Due to budgetary consideration, the total number of barangays included for small and large agricultural sampling of households with at least one member engaged in agricultural activity. provinces was set at six (6) and nine (9) barangays, respectively, depending on the computed total sample size for the province, that is,
n' = 6 if n < 6, and
n' = 9 otherwise.
Ten (10) sample households were allocated for each sample barangay. This procedure resulted in total sample size of 592 barangays and 5,920 households for the entire country.
A general feature of the design was the division of the primary sampling units into strata of approximately equal sizes relative to the number of farming households reported in the 1999 BSS. The division of the barangays within the province and the drawing of sample was done as follows:
The barangays were arrayed in descending order based on the total number of farming households. These barangays were then divided into three (3) strata such that the cumulative total number of farming households of all the barangays in any one stratum was approximately of the same magnitude as the rest of the individual strata. Thus,
Stratum 1 barangays constitute all "large barangays",
Stratum 2 barangays constitute all "medium barangays", and
Stratum 3 barangays constitute all "small barangays"; with respect to total number of farming households.
Equal sample sizes were allocated and drawn from the three strata, resulting in two (2) and three (3) sample barangays, respectively, per stratum depending on the sample size for the province. Selection of sample barangays wss done at the BAS Central Office using simple random sampling. The generated lists of sample barangays were then submitted to NSO for the drawing of sample households and for the
photocopying of corresponding barangay maps.
Drawing of sample households was made at the NSO field offices using simple random sampling of households with at least one member engaged in agricultural activity. The generated lists of samples were sent back to BAS Central Office for control and distribution to concerned Provincial Operations Centers (POCs).
Deviations from the Sample Design
As in any survey, there were cases wherein samples need to be substituted or replaced. Following were the guidelines in replacing sample barangays and/or households:
Sample Barangays - Only two general reasons were considered valid for substituting barangays:
1. Transportation costs were way above the allocated budget for operations; or
2. Unfavorable peace and order situation in the area.
The list of replacement barangays served as the only source of substitute barangays. It was emphasized that a replacement barangay should be taken only from the list of replacement barangays in the same stratum.
Sample Households - Only the reasons enumerated below are considered valid for replacing households.
1.Household was not a qualified IFHS sample:
a. For regions except NCR: Candidate household was not a farming household;
b. For NCR: Candidate household was not into agricultural activities, or into agricultural activities but produce was not intended to generate income for the household;
c. Conditions (a) and (b) were satisfied but there was no agricultural operation during the reference period (July 2002 to June 2003);
2. Household was a qualified IFHS sample but any of the following situations arose during visit:
a. No qualified respondent was available for interview during the entire survey period;
b. Qualified respondent refused to be interviewed;
c. Interview was terminated;
It was emphasized that reasons for substituting sample households should be validated first by the field supervisor before replacement is allowed. Replacement households should be taken only from the list of replacements for the barangay.
Sample Barangays - Only two general reasons were considered valid for substituting barangays:
1. Transportation costs were way above the allocated budget for operations; or
2. Unfavorable peace and order situation in the area.
The list of replacement barangays served as the only source of substitute barangays. It was emphasized that a replacement barangay should be taken only from the list of replacement barangays in the same stratum.
Sample Households - Only the reasons enumerated below are considered valid for replacing households.
1.Household was not a qualified IFHS sample:
a. For regions except NCR: Candidate household was not a farming household;
b. For NCR: Candidate household was not into agricultural activities, or into agricultural activities but produce was not intended to generate income for the household;
c. Conditions (a) and (b) were satisfied but there was no agricultural operation during the reference period (July 2002 to June 2003);
2. Household was a qualified IFHS sample but any of the following situations arose during visit:
a. No qualified respondent was available for interview during the entire survey period;
b. Qualified respondent refused to be interviewed;
c. Interview was terminated;
It was emphasized that reasons for substituting sample households should be validated first by the field supervisor before replacement is allowed. Replacement households should be taken only from the list of replacements for the barangay.
Response Rate
From 5920 sample households, 5448 sample units were successfuly interviewed for a response rate of 92.03%.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2003-07-16 | 2003-07-31 |
Data Collection Mode
Face-to-face paper [f2f]
Data Processing
Data Editing
Consistencies of data items within and across record types were first verified and checked according to the Data Processing Guidelines of the study. First stage of the editing was done manualy. A second stage consistency check was a component of the Computerized Processing System.
Initial editing of data was done by the Contractual Data Collectors (CDCs) on every filled up questionaire. These questionnaires were turned over to their supervisors for checking. Editing/Checking for consistencies of data items in particular record types and accross record types were done.
Second stage of editing was done at the Central Office. The Data Processing System (DPS) was equipped with a customized editing program to filter out-of-range data items to generate an errorlist. The errorlist is a compilation of errors on specific data item that did not pass the specification. The errorlist list was checked based on the information in the questionnaire. The correction was reflected to the data file using the the CENTRY module of the Integrated Micro-computer Processing System (IMPS).
Initial editing of data was done by the Contractual Data Collectors (CDCs) on every filled up questionaire. These questionnaires were turned over to their supervisors for checking. Editing/Checking for consistencies of data items in particular record types and accross record types were done.
Second stage of editing was done at the Central Office. The Data Processing System (DPS) was equipped with a customized editing program to filter out-of-range data items to generate an errorlist. The errorlist is a compilation of errors on specific data item that did not pass the specification. The errorlist list was checked based on the information in the questionnaire. The correction was reflected to the data file using the the CENTRY module of the Integrated Micro-computer Processing System (IMPS).
Access policy
Contacts
| Name | Affiliation | URL |
|---|---|---|
| The Direcrtor | DA, BAS | www.bas.gov.ph |
Confidentiality
The Bureau of Agricultural Statistics (BAS) strictly observes the confidentiality of data. As stated in the BAS' survey questionnaires and the forms relevant to the conduct of any statistical inquiry, data provided by the respondents shall be used solely for statistical purposes.
Access conditions
The datasets of this study are categorized under licensed files. Access to licensed datasets is through request and is only granted to Data Users/Researchers with a legally registered sponsoring agency (university, company, research centre, national or international organization, etc.).
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data User/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data User/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
Citation requirements
As specified in the agreement under access conditions, users are required to cite the source of data in accordance with the citation requirement provided with the dataset. The citation requirement for this study is as follows:
"Bureau of Agricultural Statistics, Integrated Farm Household Survey 2003, Version 2.0 of the licensed dataset 2003, provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Integrated Farm Household Survey 2003, Version 2.0 of the licensed dataset 2003, provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
Disclaimer and copyrights
Disclaimer
The data users/researchers acknowledge that the BAS and the agency funding the study bear 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.
Metadata production
DDI Document ID
DDI_PHL_2003_IFHS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| Ripol Ocampo Abalos | ROA | Bureau of Agricultural Statistics | Documentation of study |
| Fe Vida Dy-Liacco | FVND | ADP Asia | Reviewer |
| Maura S Lizarondo | MSL | Bureau of Agricultural Statistics | Reviewer |
DDI Document version
PHL_2003_IFHS_v01_EN_M_v01_A_OCS_v01