Family Income and Expenditure Survey 2000
Philippines, 2000
Reference ID
PHL-NSO-FIES-2000-v01
Producer(s)
Philippine Statistics Authority
Collection(s)
Metadata
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Created on
Sep 14, 2021
Last modified
Sep 15, 2021
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Identification
Title
Family Income and Expenditure Survey 2000
Countries
| Name | Abbreviation |
|---|---|
| Philippines | PHL |
idno
PHL-NSO-FIES-2000-v01
Study notes
The 2000 Family Income and Expenditute Survey had the following objectives:
1. to gather data on family income and family living expenditures and related information affecting income and expenditure levels and patterns in the Philippines;
2. t o determine the sources of income and income distribution, levels of living and spending patterns, and the degree of inequality among families;
3. to provide benchmark information to update weights in the estimation of consumer price index (CPI); and
4. to provide inputs in the estimation of the country's poverty threshold and incidence.
1. to gather data on family income and family living expenditures and related information affecting income and expenditure levels and patterns in the Philippines;
2. t o determine the sources of income and income distribution, levels of living and spending patterns, and the degree of inequality among families;
3. to provide benchmark information to update weights in the estimation of consumer price index (CPI); and
4. to provide inputs in the estimation of the country's poverty threshold and incidence.
Kind of data
Sample survey data [ssd]
Unit of analysis
The reporting unit was the household which implied that the statistics emanating from this survey referred to the characteristics of the population residing in private households. Institutional population is not within the scope of the survey.
For FIES, the concept of family was used. A family consists of the household head, spouse, unmarried children, ever-married children, son-in-law/daughter-in-law, parents of the head/spouse and other relatives who are members of the household.
In addition, two or more persons not related to each other by blood, marriage or adoption are also considered in this survey. However, only the income and expenditure of the member who is considered as the household head are included.
For FIES, the concept of family was used. A family consists of the household head, spouse, unmarried children, ever-married children, son-in-law/daughter-in-law, parents of the head/spouse and other relatives who are members of the household.
In addition, two or more persons not related to each other by blood, marriage or adoption are also considered in this survey. However, only the income and expenditure of the member who is considered as the household head are included.
Version
Version
FIES Volume I National Summary Final Report
Version date
2004-09
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| income, property and investment/saving [1.5] | CESSDA | http://www.nesstar.org/rdf/common |
Keywords
| keyword | URI |
|---|---|
| Family Income | |
| Family Expenditure | |
| Sources of Income in cash and in kind | |
| Level of consumption by item of expenditure |
Coverage
Geographic coverage
National, 16 Regions, and 79 provinces, urban and rural
Unit of analysis
The reporting unit was the household which implied that the statistics emanating from this survey referred to the characteristics of the population residing in private households. Institutional population is not within the scope of the survey.
For FIES, the concept of family was used. A family consists of the household head, spouse, unmarried children, ever-married children, son-in-law/daughter-in-law, parents of the head/spouse and other relatives who are members of the household.
In addition, two or more persons not related to each other by blood, marriage or adoption are also considered in this survey. However, only the income and expenditure of the member who is considered as the household head are included.
For FIES, the concept of family was used. A family consists of the household head, spouse, unmarried children, ever-married children, son-in-law/daughter-in-law, parents of the head/spouse and other relatives who are members of the household.
In addition, two or more persons not related to each other by blood, marriage or adoption are also considered in this survey. However, only the income and expenditure of the member who is considered as the household head are included.
Universe
Household
Producers and sponsors
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Philippine Government |
Other acknowledgement(s)
| Name | Affiliation | Role | |
|---|---|---|---|
Sampling
Sampling procedure
The sampling design of the 2000 FIES adopted that of the Integrated Survey of Households (ISH). Starting July 1996, the sampling design of the ISH uses the new master sample design. The multi-stage sampling design of the master sample consists of 3,416 sample barangays in the expanded sample for provincia;l level estimates with a sub-sample of 2,247 Primary Sampling Units (PSUs) designated as core master sample for regional level estimates. The 2000 FIES was based on the expanded sample.
1. Domains - The domains for the new master sample are similar to that of the previous ISH design with an addition of 23 newly created domains. The urban and rural areas of cities and municipalities with a population of 150,000 or more are considered as separate domains. The other urban and rural areas in each of the 77 provinces are likewise treated as separate domains. In view of the creation of ARMM and the separation of Marawi City and Cotabato City from Lanao del Sur and Maguindanao, respectively, the urban and rural areas of the two cities also form separate domains.
2. Sampling Units - The multi-stage sampling design of the master sample involves the selection of the sample barangays for the first stage, selection of sample enumeration areas for the second stage, and the selection of sample households for the third stage in each stratum for every domain.
The frame for the first and second stages of sample selection was based mainly on the results of the 1995 Census of Population (POPCEN). The 1995 POPCEN list of barangays with the household and population counts is used in the first stage of sample selection. The stratification of barangays included in the frame, however, are based on the 1990 Census of Population and Housing (CPH) and other administrative reports from field offices of the NSO. An enumeration area (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 enumeration areas which constitute the secondary stage sampling units are those that were formed during the 1995 POPCEN. The sample barangays were selected systematically with probability proportional to size from the list of barangays that were implicitly stratified.
Isolated barangays and/or barangays that are difficult and expensive to reach are excluded from the sampling frame. However, critical areas or barangays with peace and order problem, which is generally temporary in nature, are included in the frame.
The frame for the third stage of sample selection is the list of the households from the 1995 POPCEN. The selection of sample household for the third stage was done systematically from the 1995 POPCEN List of the Households.
1. Domains - The domains for the new master sample are similar to that of the previous ISH design with an addition of 23 newly created domains. The urban and rural areas of cities and municipalities with a population of 150,000 or more are considered as separate domains. The other urban and rural areas in each of the 77 provinces are likewise treated as separate domains. In view of the creation of ARMM and the separation of Marawi City and Cotabato City from Lanao del Sur and Maguindanao, respectively, the urban and rural areas of the two cities also form separate domains.
2. Sampling Units - The multi-stage sampling design of the master sample involves the selection of the sample barangays for the first stage, selection of sample enumeration areas for the second stage, and the selection of sample households for the third stage in each stratum for every domain.
The frame for the first and second stages of sample selection was based mainly on the results of the 1995 Census of Population (POPCEN). The 1995 POPCEN list of barangays with the household and population counts is used in the first stage of sample selection. The stratification of barangays included in the frame, however, are based on the 1990 Census of Population and Housing (CPH) and other administrative reports from field offices of the NSO. An enumeration area (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 enumeration areas which constitute the secondary stage sampling units are those that were formed during the 1995 POPCEN. The sample barangays were selected systematically with probability proportional to size from the list of barangays that were implicitly stratified.
Isolated barangays and/or barangays that are difficult and expensive to reach are excluded from the sampling frame. However, critical areas or barangays with peace and order problem, which is generally temporary in nature, are included in the frame.
The frame for the third stage of sample selection is the list of the households from the 1995 POPCEN. The selection of sample household for the third stage was done systematically from the 1995 POPCEN List of the Households.
Response rate
The response rate for the 2000 FIES is 96.6%
Weighting
The basic weight for the sample households for the 2000 FIES can be expressed as an inverse of the probability.
(see externasl resources for the computation)
(see externasl resources for the computation)
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2000-07-10 | 2000-07-31 |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
The Regional Directors (RDs), Provincial Statistics Officers (PSOs) and selected District Statistical Officers (DSOs) acted as supervisor.
The following were done during the supervision:
1. Observe how the interview is being conducted. Errors noted should be pointed out to the enumerators to avoid the same mistakes in succeeding interview.
2. Scrutinize the accomplished questionnaire for completeness and consistencies of entries
3. Conduct a random re-interview of households/respondents
4. Helped solve problems encountered by enumerators
5. Ensure that expected outputs of the enumerators are met.
6. Ensure that the enumerators who were trained were the ones conducting the interview.
7. Collect the questionnaires from the enumerators as well as accomplishment reports.
8. Be available if the enumerators need assistance in relation to the conduct of the interview.
9. Fill-up the Supervisor's Report Form which shall be submitted to the Regional Office.
The following were done during the supervision:
1. Observe how the interview is being conducted. Errors noted should be pointed out to the enumerators to avoid the same mistakes in succeeding interview.
2. Scrutinize the accomplished questionnaire for completeness and consistencies of entries
3. Conduct a random re-interview of households/respondents
4. Helped solve problems encountered by enumerators
5. Ensure that expected outputs of the enumerators are met.
6. Ensure that the enumerators who were trained were the ones conducting the interview.
7. Collect the questionnaires from the enumerators as well as accomplishment reports.
8. Be available if the enumerators need assistance in relation to the conduct of the interview.
9. Fill-up the Supervisor's Report Form which shall be submitted to the Regional Office.
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| National Statistics Office | NSO |
Data Processing
Data editing
The 2000 FIES questionnaire contains about 800 data items and a summary for comparing income and expenditures. The questionnaires were subjected to a rigorous manual and machine edit checks for completeness, arithmetic accuracy, range validity and internal consistency.
The major steps in the machine processing are as follows:
1. Data entry
2. Structural, Range Edit and Consistency Edit (Minor Edit)
3. Completeness Check
4. Matching of visit records
5. Generation of the Binary file
6. Consistency and Macro Edit (Big Edit)
7. Expansion
8. Tabulation
9. Generation of CPI
10. Variance Analysis
11. Generation of the Public Use File (PUF)
Steps 1 to 3 were done right after each visit. The remaining steps were carried out only after the second visit had been completed.
Steps 1 to 6 were done at the Regional Office where Steps 4-6 were accomplished only after finishing the second visit. Steps 7 to 11 were completed in the Central Office.
After completing Steps 1 to 6, data files were transmitted to the Central Office where a summary file was generated. The summary file was used to produce the consistency tables as well as the preliminary and textual tables.
Where the generated tables showed inconsistencies, selected data items were subjected to further scrutiny and validation. The cycle of generation of consistency tables and data validation were done until questionable data items were verified.
Innovation for the 2000 FIES machine processing were carried out by the Information Technology System and Research Division of the NSO by introducing the FIES Integrated Processing System (FIPS). This is a Windows application system which facilitated data encoding, completeness and validity check.
The 2000 FIES machine processing was further enhanced using an interactive Windows-based system named FAME (FIES computer-Aided Consistency and Macro Editing). The interactive module of FAME enabled the following activities to be done simultaneously:
a) Matching of visit records
b) Generation of Binary files
c) Consistency and Macro Edit (Big Edit)
d) Range Check
The improved system minimized processing time as well as minimized, if not eliminated the need for paper to generate the reject listing.
The major steps in the machine processing are as follows:
1. Data entry
2. Structural, Range Edit and Consistency Edit (Minor Edit)
3. Completeness Check
4. Matching of visit records
5. Generation of the Binary file
6. Consistency and Macro Edit (Big Edit)
7. Expansion
8. Tabulation
9. Generation of CPI
10. Variance Analysis
11. Generation of the Public Use File (PUF)
Steps 1 to 3 were done right after each visit. The remaining steps were carried out only after the second visit had been completed.
Steps 1 to 6 were done at the Regional Office where Steps 4-6 were accomplished only after finishing the second visit. Steps 7 to 11 were completed in the Central Office.
After completing Steps 1 to 6, data files were transmitted to the Central Office where a summary file was generated. The summary file was used to produce the consistency tables as well as the preliminary and textual tables.
Where the generated tables showed inconsistencies, selected data items were subjected to further scrutiny and validation. The cycle of generation of consistency tables and data validation were done until questionable data items were verified.
Innovation for the 2000 FIES machine processing were carried out by the Information Technology System and Research Division of the NSO by introducing the FIES Integrated Processing System (FIPS). This is a Windows application system which facilitated data encoding, completeness and validity check.
The 2000 FIES machine processing was further enhanced using an interactive Windows-based system named FAME (FIES computer-Aided Consistency and Macro Editing). The interactive module of FAME enabled the following activities to be done simultaneously:
a) Matching of visit records
b) Generation of Binary files
c) Consistency and Macro Edit (Big Edit)
d) Range Check
The improved system minimized processing time as well as minimized, if not eliminated the need for paper to generate the reject listing.
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| National Statistics Office | info@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 | |
|---|---|---|---|
| Administrator | National Statistics Office | www@.census.gov.ph | |
| Chief, Income and Employment Statistics Division | National Statistics Office | efabian@.census.gov.ph |