Annual Poverty Indicators Survey 1999
Philippines, 1999
Reference ID
PHL-NSO-APIS-1999-v01
Producer(s)
National Statistics Office
Collection(s)
Metadata
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Sep 13, 2021
Last modified
Sep 15, 2021
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Identification
Title
Annual Poverty Indicators Survey 1999
Countries
| Name | Abbreviation |
|---|---|
| Philippines | PHN |
idno
PHL-NSO-APIS-1999-v01
Study notes
Organization and 0bjectives of the Survey
The 1999 Annual Poverty Indi cators SulVey (APIS) is a nationwide survey designed to provide access and impact indicators that can be used as inputs to the development of an integrated poverty indicator and monitoring system. It was conducted by the National Statistics Office (NSO) as a rider to its October 1999 Labor Force Survey (LFS).
Poverty statistics are presently based on the Family Income and Expenditures Survey (FIES) which is being conducted on a nationwide basis by the NSO every three years since 1985. FIBS obtain data on the income and expenditures of families for one whole year. Other than poverty incidence, FIES also gives the distribution of families by income class, income decile distribution, sources of income, spending pattern by income class and poverty related indicators like housing characteristics. However, during periods when FIES is not conducted, there are no available statistics to use in assessing and monitoring poverty. Hence, the APIS is conducted.
The 1999 Annual Poverty Indi cators SulVey (APIS) is a nationwide survey designed to provide access and impact indicators that can be used as inputs to the development of an integrated poverty indicator and monitoring system. It was conducted by the National Statistics Office (NSO) as a rider to its October 1999 Labor Force Survey (LFS).
Poverty statistics are presently based on the Family Income and Expenditures Survey (FIES) which is being conducted on a nationwide basis by the NSO every three years since 1985. FIBS obtain data on the income and expenditures of families for one whole year. Other than poverty incidence, FIES also gives the distribution of families by income class, income decile distribution, sources of income, spending pattern by income class and poverty related indicators like housing characteristics. However, during periods when FIES is not conducted, there are no available statistics to use in assessing and monitoring poverty. Hence, the APIS is conducted.
Kind of data
Sample survey data [ssd]
Unit of analysis
The study describes the following unit of analysis: Individuals and household.
Version
Version
Version 1, Final data, for public use.
Version date
1999-09
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| consumption/consumer behaviour [1.1] | CESSDA | http://www.nesstar.org/rdf/common |
| economic conditions and indicators [1.2] | CESSDA | http://www.nesstar.org/rdf/common |
| income, property and investment/saving [1.5] | CESSDA | http://www.nesstar.org/rdf/common |
| housing [10.1] | CESSDA | http://www.nesstar.org/rdf/common |
Keywords
| keyword | URI |
|---|---|
| housing and sanitation | |
| credit information | |
| family sustenance | |
| net share of crops | |
| entrepreneurial activities | |
| other sources of income | |
| other receipts | |
| family income | |
| family expenditures | |
| changes in welfare |
Coverage
Geographic coverage
The APIS covered all 82 provinces of the country including all cities and municipalities in Metro Manila. The sample included 3,416 sample enumeration areas/barangays with approximately 41,000 sample families.
Unit of analysis
The study describes the following unit of analysis: Individuals and household.
Universe
The survey involved the interview of a national sample of about 41,000 sample households deemed to sufficient to provide reliable estimates of income and expenditure at the national and regional level.
Producers and sponsors
Producer(s)
| Name | Affiliation | Role |
|---|---|---|
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Worldbank | WB | |
| Asian Europe Meeting | ASEM |
Sampling
Sampling procedure
The sample 3,416 barangays were selected systematically with probability proportional to size from the list of barangays that were implicitly stratified. The preliminary count of households based on the results of the 1995 Census of Population (POPCEN) was used. The selection of sample EAs for the second stage was also done systematically with probability proportional to size. The Enumeration Areas (EAs) are those that were formed during the 1995 POPCEN. An EA is a physical delineated portion of the barangay. For barangays that were not divided into EAs, the barangay was treated as an EA.
The selection of sample households for the third stage was done systematically from the 1995 POPCEN List of Households. The 1999 APIS used the expanded sample that has a national sample of about 41,000 sample households.
The selection of sample households for the third stage was done systematically from the 1995 POPCEN List of Households. The 1999 APIS used the expanded sample that has a national sample of about 41,000 sample households.
Response rate
Response Rate Out of 40,992 sample households, 37,454 were successfully interviewed using Annual Poverty Indicators Survey (APIS) Form 1. This translates to a response rate of 91.4%. Those who were not interviewed either refused to be interviewed or were not available during the enumeration.
Weighting
Calculation of Final Weights
The basic weight for the sample households in the January 1998 Labor Force Survey (LFS) can be expressed as an inverse of the probability of selection.
Since the sample households for the January 1998 LFS were selected directly from the 1995 Census of Population (POPCEN) frame, the basic weight is the same for all households within the stratum (that is, the sample is self weighting within the stratum). However, after the basic weights is adjusted for non-response, the weights may vary slightly by sample EA within stratum.
The basic weights were adjusted to take into account the sample EAs which were not enumerated, as well as the household non-interviews, followed by an adjustment based on the population projections for the domain. The weight adjustment was carried out in three stages for the LFS data.
1. Weight adjustment factor for sample EAs which were not enumerated
The first stage weight adjustment was carried out at the stratum level (domain city, other urban or rural, within province). This adjustment factor was based on the number of sample EAs selected in the stratum divided by the number of sample EAs actually enumerated.
2. Weight adjustment factor for non-interview households
The second stage weight adjustment factor for non-interview households was carried out at the level of the sample EA.
3. Weight adjustment factor based on population projection.
In order to adjust the survey estimates of total population for each domain to reflect changes in the population overtime, a final weight adjustment factor was applied at the domain level, based on the best population projections for the corresponding reference period.
The basic weight for the sample households in the January 1998 Labor Force Survey (LFS) can be expressed as an inverse of the probability of selection.
Since the sample households for the January 1998 LFS were selected directly from the 1995 Census of Population (POPCEN) frame, the basic weight is the same for all households within the stratum (that is, the sample is self weighting within the stratum). However, after the basic weights is adjusted for non-response, the weights may vary slightly by sample EA within stratum.
The basic weights were adjusted to take into account the sample EAs which were not enumerated, as well as the household non-interviews, followed by an adjustment based on the population projections for the domain. The weight adjustment was carried out in three stages for the LFS data.
1. Weight adjustment factor for sample EAs which were not enumerated
The first stage weight adjustment was carried out at the stratum level (domain city, other urban or rural, within province). This adjustment factor was based on the number of sample EAs selected in the stratum divided by the number of sample EAs actually enumerated.
2. Weight adjustment factor for non-interview households
The second stage weight adjustment factor for non-interview households was carried out at the level of the sample EA.
3. Weight adjustment factor based on population projection.
In order to adjust the survey estimates of total population for each domain to reflect changes in the population overtime, a final weight adjustment factor was applied at the domain level, based on the best population projections for the corresponding reference period.
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 1998-10-19 | 1998-11-15 |
Time period(s)
| Start | End | Cycle |
|---|---|---|
| 1998-10-19 | 1998-11-15 |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
The Regional Directors (RDs), Provincial Statistical Offcers (PSOs) and their assistants are provided funds for supervision. It is expected that strict supervision should always be exercised in the conduct of the survey.
During supervision, the following should be done:
1. Observe how the interview is being conducted. Errors noted should be pointed out to the ENs to avoid the same mistakes in succeeding interviews.
2. Scrutinize the accomplished questionnaires for correctness, completeness and consistency of entries and return the problem questionnaires to the ENs for verification of the incorrect entries.
3. Conduct a ramdom re-interview of households/respondents to ensure that the ENs really visited and interviewed the sample housejolds and eligible respondents.
4. Help solve problems encountered by enumerators such as refusals, callbacks and others.
5. Ensure that all the eligible respondents are interviewed.
6. Ensure that the expected outputs of the ENs are met.
7. Ensure that the ENs who were trained are the ones conducting the interview.
8. Collect the ENs accomplishment reports.
9. Be available if the ENs need assistance in relation to the conduct of the surveys.
10. Fill-up the Supervisor's report form that shall be submitted to the Regional Office for their use and reference.
During supervision, the following should be done:
1. Observe how the interview is being conducted. Errors noted should be pointed out to the ENs to avoid the same mistakes in succeeding interviews.
2. Scrutinize the accomplished questionnaires for correctness, completeness and consistency of entries and return the problem questionnaires to the ENs for verification of the incorrect entries.
3. Conduct a ramdom re-interview of households/respondents to ensure that the ENs really visited and interviewed the sample housejolds and eligible respondents.
4. Help solve problems encountered by enumerators such as refusals, callbacks and others.
5. Ensure that all the eligible respondents are interviewed.
6. Ensure that the expected outputs of the ENs are met.
7. Ensure that the ENs who were trained are the ones conducting the interview.
8. Collect the ENs accomplishment reports.
9. Be available if the ENs need assistance in relation to the conduct of the surveys.
10. Fill-up the Supervisor's report form that shall be submitted to the Regional Office for their use and reference.
Questionnaires
Refer to the attached 1998 Annual Poverty Iindicators Survey (APIS) questionnaire in pdf file (External Resources)
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| National Statistics Office | NSO |
Data Processing
Data editing
Data processing involves two stages: manual processing and machine processing. Manual processing refers to the manual editing and coding of questionnaires. This is done prior to machine processing which entails the code validation, consistency checks as well as tabulation.
For purposes of operational convinience, field editing is usually done. The interviewer are required to review the entries at the end of interview. Blank items which are applicable to the respondents are verified and filled-out. Before being transmitted to the central office, all questionnaires are edited in the field offices.
Coding, which is the transformation from the questioonire to machine resdable form, is likewise done in the field offices.
Machine processing involves all operations that are done with the use of computer and/or its accessories, that is from data encoding encodingto tabulation. Coded data are usually in such media as tapes and diskettes.
Machine editing is prefered to ensure correctness of encoded information. Except for completeness check and verification of geographic identification which are the responsibility of the subject matter division, some correction of entries are done mechanically.
Preliminary and final tabulations are done at the Central Office.
For purposes of operational convinience, field editing is usually done. The interviewer are required to review the entries at the end of interview. Blank items which are applicable to the respondents are verified and filled-out. Before being transmitted to the central office, all questionnaires are edited in the field offices.
Coding, which is the transformation from the questioonire to machine resdable form, is likewise done in the field offices.
Machine processing involves all operations that are done with the use of computer and/or its accessories, that is from data encoding encodingto tabulation. Coded data are usually in such media as tapes and diskettes.
Machine editing is prefered to ensure correctness of encoded information. Except for completeness check and verification of geographic identification which are the responsibility of the subject matter division, some correction of entries are done mechanically.
Preliminary and final tabulations are done at the Central Office.
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| Databank and Information Services Division | National Statistics Office | info@census.gov.ph | http://www.census.gov.ph |
Access conditions
Authorization to use this data is granted only to the client or data user and persons within its organization, if applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts thereof to any other data user apart from himself or that of authorized employees in his organization. The NSO shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the NSO.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the NSO.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the NSO.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the NSO.
Citation requirements
Any report, paper or similar articles, whether published or not, emanating from the use of this data shall give appropriate acknowledgement as suggested herein, “(Title of Census/Survey, version number and date), National Statistics Office, Manila, Philippines”, as the source of basic data. The data user or client is encouraged to provide NSO with a copy of such report, paper or article. It is understood that unless expressly allowed by the client, such report, paper or article shall not be used for any purpose other than monitoring.
Disclaimer and copyrights
Disclaimer
The NSO gives no warranty that the data are free from errors. Hence, the NSO shall not be held responsible for any loss or damage as a result of the client's manipulation or tabulation of the data.
Copyrights
The data user acknowledges that any available intellectual property rights, including copyright in the data are owned by the National Statistics Office.
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| Chief, Databank and Information Services Division | National Statistics Office | info@census.gov.ph | http://www.census.gov.ph |
| Chief, Databank and Information Services Division | National Statistics Office | sales@census.gov.ph | http://www.census.gov.ph |