Abstract

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;

1. t o determine the sources of income and income distribution, levels of living and spending patterns, and the degree of inequality among families;

2. to provide benchmark information to update weights in the estimation of consumer price index (CPI); and

3. to provide inputs in the estimation of the country's poverty threshold and incidence.

Geographic coverage

National coverage

Analysis unit

Household Consumption expenditure item Income by source

Universe

The 2000 FIES has as its target population, all households and members of households nationwide. Institutional population is not within the scope of the survey.

Kind of data

Sample survey data [ssd]

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 provincial 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.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire has four main parts consisting of the following: Part I. Identification and Other Information (Geographic Identification, Other Information and Particulars about the Family)

Part II. Expenditures Section A. Food, Alcoholic Beverages and Tobacco Section B. Fuel, Light and Water, Transportation and Communication, Household Operations Section C. Personal Care and Effects, Clothing Footwear and Other Wear Section D. Education, Recreation, and Medical Care Section E. Furnishings and Equipment Section F. Taxes Section G. Housing, House Maintenance and Minor Repairs Section H. Miscellaneous Expenditures Section I. Other Disbursements

Part III. Income Section A. Salaries and Wages from Employment Section B. Net Share of Crops, Fruits and Vegetables Produced and/or Livestock and Poultry Raised by Other Households Section C. Other Sources of Income Section D. Other Receipts Section F. Family Sustenance Activities

Part IV. Entrepreneurial Activities Section A1. Crop Farming and Gardening Section A2. Livestock and Poultry Section A3. Fishing Section A4. Forestry and hunting Section A5. Wholesale and Retail Section A6. Manufacturing Section A7. Community, Social, Recreational and Personal Services Section A8. Transportation, Storage and Communication Services Section A9. Mining and Quarrying Section A10. Construction Section A11. Entrepreneurial Activities Not Elsewhere Classified

A guide for comparing disbursements against receipts is found on the last page.

The general design of the questionnaire also includes codes inside the box usually located at the top of the framed questions. These codes are for automatic data processing purposes. Ignore them during the interview process. Take note that the paging of the questionnaire is located outside the frame on each page.

Cleaning operations

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.

Innovations 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.

Response rate

The response rate for the 2000 FIES is 96.6%

Abstract

This report presents the findings of the profiling activities conducted from June to August 2018 in communities hosting internally displaced persons (IDPs) of the Marawi conflict and return communities in the provinces of Lanao del Sur, Lanao del Norte, Misamis Oriental and Bukidnon. Data was collected through structured interviews with IDP households using the kobo™ tool. Primary respondents were heads of households and in their absence, any person of legal age in the family. A total of 34,785 heads of households were interviewed in the profiling activity, representing 97,126 IDPs in 56 municipalities and 3 cities.

This report presents data on demographic makeup of the IDPs such as age, sex, number of households, and family size, as well as protection information relating to displacement location, place of origin, resettlement, integration; various vulnerabilities of persons with special needs; educational attainment; income livelihood and skills; access to assistance; access to information; civil documentation; property ownership; intent to return; access to information, assistance received, and sources of assistance. Special focus is given on children and women in separate sections of this report.

A significant number of IDPs continue to experience gaps in assistance related to health, education, shelter, and long-term livelihood support. Also, IDPs continue to experience protection risks due to lack of civil documentation due to loss or destruction of birth certificates. A more nuanced and targeted approach that will address specific protection needs of IDPs is needed.

Geographic coverage

Field data collection was conducted in 4 provinces namely: Lanao del Sur, Lanao del Norte, Misamis Oriental and Bukidnon

Analysis unit

Households, individuals.

Universe

All IDPs listed in the government's IDP database for Marawi.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The IDP Profiling reached a total of 97,126 individuals in 34,785 households. This accounts for 45.08% of the baseline IDP population of 77,170 households listed in the government's IDP database for Marawi. There was no sampling procedure.

Mode of data collection

Face-to-face [f2f]

Research instrument

Basic demographics - Current Location - Place of origin - Displacement status Respondent's profile Access to identification Access to government programmes Access to assistance Access to information Access to livelihood

Cleaning operations

Data cleaning was done up to three weeks after the activity, where the IM team verified with the volunteer's names of barangays and various other issues that led to inconsistency in the data.

Abstract

The Labor Force Survey is a nationwide survey of households conducted regularly to gather data on the demographic and socio-economic characteristics of the population. It is primarily geared towards the estimation of the levels of employment in the country.

The Labor Force Survey aims to provide a quantitative framework for the preparation of plans and formulation of policies affecting the labor market.

Geographic coverage

National coverage, the sample design has been drawn in such a way that accurate lower level classification would be possible. The 74 provinces, 24 cities and eight key municipalities are covered.

Analysis unit

• Person/ individual

Universe

The survey covered all persons 10 years old and over. Persons who reside in institutions are not covered.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design of the Labor Force Survey adopts that of the Integrated Survey of Households (ISH), which uses a stratified two-stage sampling design. It is prepared by the NEDA Technical Committee on Survey Design and first implemented in 1984. It is the same sampling design used in the ISH modules starting in 1986.

The urban and rural areas of each province are the principal domains of the survey. In addition, the urban and rural areas of cities with a population of 150,000 or more as of 1990 are also made domains of the survey with urban and rural dimensions. These include the four cities and five municipalities of Metro Manila (Manila, Quezon City, Pasay and Caloocan; Valenzuela, Paranaque, Pasig, Marikina and Makati), and other key cities such as Baguio, Angeles, Cabanatuan, Olongapo, Batangas, Lipa, Lucena, San Pablo, Bacolod, Iloilo, Cebu, Mandaue, Zamboanga, Butuan, Cagayan de Oro, Davao, General Santos, and Iligan and key municipalities such as San Fernando, Pampanga and Tarlac, Tarlac.

The rest of Metro Manila, i.e., the remaining municipalities are treated as separate domains. In the case of Makati, six exclusive villages are identified and samples are selected using a different scheme. These villages are Forbes Park, Bel-Air, Dasmarinas, San Lorenzo, Urdaneta and Magallanes.

Because of the creation of the Autonomous Region of Muslim Mindanao (ARMM), this, defining its areas of coverage, Marawi City and Cotabato Cfity are likewises treated as domains.

Sampling Units and Sampling Frame The primary sampling units (PSUs) under the sample design are the barangays and the households within each sample barangay comprise the secondary sampling units (SSUs). The frame from which the sample barangays are drawn is obtained from the 1990 Census of Population and Housing (CPH). Hence, all the approximately 40,000 barangays covered in the 1990 CPH are part of the primary sampling frame. The sampling frame for the SSUs, that is, the households, is prepared by listing all households in each of the selected sample barangays. The listing operation is conducted regularly in the sample barangays to update the secondary sampling frame from where the sample households are selected.

Sample Size and Sampling Fraction The size of the sample is envisioned to meet the demand for fairly adequate statistics at the domain level. Taking this need into account and considering cost constraints as well, the decision reached is for a national sample of about 26,000 households. In general, the sample design results in self-weighting samples within domains, with a uniform sampling fraction of 1:400 for urban and 1:600 for rural areas. However, special areas are assigned different sampling fractions so as to obtain "adequate" samples for each. Special areas refer to the urban and rural areas of a province or large city which are small relative to their counterparts.

Selection of Samples For the purpose of selecting PSUs, the barangay in each domain are arranged by population size (as of the 1990 Census of Population) in descending order and then grouped into strata of approximately equal sizes. Four independent PSUs are drawn with probability proportional to size with complete replacement.

Secondary sampling units are selected systematiclally with a random start.

Sampling deviation

Replacement of non-responding or transferred sample households is allowed although it is still possible to have non-response cases due to critical peace and order situation or inaccessibility of the selected sample households. If there are unenumerated barangays or sample households, non-response adjustments are utilized.

Mode of data collection

Face-to-face [f2f]

Research instrument

The items of information presented in the July 1991 Quarterly Labor Force Survey questionnaire were derived from a structured questionnaire covering the demographic and economic characteristics of individuals. The demographic characteristics include age, sex, relationship to household head, marital status, and highest grade completed. The economic characteristics include employment status, occupation, industry, nomal working hours, total hours worked, class of worker, etc.

Cleaning operations

Data processing involves two stages: manual processing and machine processing. Manual processing refers to the manual editing and coding of questionnaires. This was done prior to machine processing which entailed code validation, consistency checks as well as tabulation.

Enumeration is a very complex operation and may happen that accomplished questionnaires may have some omissions and implausible or inconsistent entries. Editing is meant to correct these errors.

For purposes of operational convenience, field editing was done. The interviewers were required to review the entries at the end of each interview. Blank items, which were applicable to the respondents, were verified and filled out. Before being transmitted to the regional office, all questionnaires were edited in the field offices.

Coding, the transformation of information from the questionnaire to machine readable form, was likewise done in the field offices.

Machine processing involved all operations that were done with the use of a computer and/or its accessories, that is, from data encoding to tabulation. Coded data are usually in such media as tapes and diskettes. Machine editing is preferred to ensure correctness of encoded information. Except for sample completeness check and verification of geographic identification which are the responsibility of the subject matter division, some imputations and corrections of entries are done mechanically.

Response rate

The response rate for January 1992 LFS was 99.94 percent. The non-response rate of 0.06 percent was due to crticial peace and order situation or inaccessibility of the selected sample or sample households.

Sampling error estimates

Standard Error (SE) and Coefficient of Variation (CV) for the selected variables of the Labor Force Survey (LFS) for July 1991 survey round was computed using the statistical package IMPS. The selected variables referred to include the employment, unemployment and labor force population levels and rates.

A sampling error is usually measured in terms of the standard error for a particular statistic. A standard error is a measure of dispersion of an estimate from the expected value.

The SE can be used to calculate confidence intervals within which the true value for the population can be estimated, while the CV is a measure of relative variability that is commonly used to assess the precision of survey estimates.

The CV is defined as the ratio of the standard error and the estimate. An estimate with CV value of less than 10 percent is considered precise.