Abstract

The 2013 NDHS is designed to provide information on fertility, family planning, and health in the country for use by the government in monitoring the progress of its programs on population, family planning and health.

In particular, the 2013 NDHS has the following specific objectives: • Collect data which will allow the estimation of demographic rates, particularly fertility rates and under-five mortality rates by urban-rural residence and region. • Analyze the direct and indirect factors which determine the level and patterns of fertility. • Measure the level of contraceptive knowledge and practice by method, urban-rural residence, and region. • Collect data on health, immunizations, prenatal and postnatal check-ups, assistance at delivery, breastfeeding, and prevalence and treatment of diarrhea, fever and acute respiratory infections among children below five years old. • Collect data on environmental health, utilization of health facilities, health care financing, prevalence of common non-communicable and infectious diseases, and membership in the National Health Insurance Program (PhilHealth). • Collect data on awareness of cancer, heart disease, diabetes, dengue fever and tuberculosis. • Determine the knowledge of women about AIDS, and the extent of misconception on HIV transmission and access to HIV testing. • Determine the extent of violence against women.

Geographic coverage

National coverage

Analysis unit

• Household
• Individuals/ persons
• Woman age 15 to 49

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample selection methodology for the 2013 NDHS is based on a stratified two-stage sample design, using the 2010 Census of Population and Housing (CPH) as a frame. The first stage involved a systematic selection of 800 sample enumeration areas (EAs) distributed by stratum (region, urban/rural). In the second stage, 20 sample housing units were selected from each sample EA, using systematic random sampling.

All households in the sampled housing units were interviewed. An EA is defined as an area with discern able boundaries consisting of contiguous households. The sample was designed to provide data representative of the country and its 17 administrative regions.

Further details on the sample design and implementation are given in Appendix A of the final report.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2013 NDHS used three questionnaires: Household Questionnaire, Individual Woman’s Questionnaire, and Women’s Safety Module. The development of these questionnaires resulted from the solicited comments and suggestions during the deliberation in the consultative meetings and separate meetings conducted with the various agencies/organizations namely: PSA-NSO, POPCOM, DOH, FNRI, ICF International, NEDA, PCW, PhilHealth, PIDS, PLCPD, UNFPA, USAID, UPPI, UPSE, and WHO. The three questionnaires were translated from English into six major languages - Tagalog, Cebuano, Ilocano, Bicol, Hiligaynon, and Waray.

The main purpose of the Household Questionnaire was to identify female members of the sample household who were eligible for interview with the Individual Woman’s Questionnaire and the Women’s Safety Module.

The Individual Woman’s Questionnaire was used to collect information from all women aged 15-49 years.

The Women’s Safety Module was used to collect information on domestic violence in the country, its prevalence, severity and frequency from only one selected respondent from among all the eligible women who were identified from the Household Questionnaire.

Cleaning operations

All completed questionnaires and the control forms were returned to the PSA-NSO central office in Manila for data processing, which consisted of manual editing, data entry and verification, and editing of computer-identified errors. An ad-hoc group of thirteen regular employees from the DSSD, the Information Resources Department (IRD), and the Information Technology Operations Division (ITOD) of the NSO was created to work fulltime and oversee data processing operation in the NDHS Data Processing Center that was carried out at the NSO-CVEA Building in Quezon City, Philippines. This group was responsible for the different aspects of NDHS data processing. There were 19 data encoders hired to process the data who underwent training on September 12-13, 2013.

Data entry started on September 16, 2013. The computer package program called Census and Survey Processing System (CSPro) was used for data entry, editing, and verification. Mr. Alexander Izmukhambetov, a data processing specialist from ICF International, spent two weeks at NSO in September 2013 to finalize the data entry program. Data processing was completed on December 6, 2013.

Response rate

For the 2013 NDHS sample, 16,732 households were selected, of which 14,893 were occupied. Of these households, 14,804 were successfully interviewed, yielding a household response rate of 99.4 percent. The household response rates in urban and rural areas are almost identical.

Among the households interviewed, 16,437 women were identified as eligible respondents, and the interviews were completed for 16,155 women, yielding a response rate of 98.3 percent. On the other hand, for the women’s safety module, from a total of 11,373 eligible women, 10,963 were interviewed with privacy, translating to a 96.4 percent response rate. At the individual level, urban and rural response rates showed no difference. The principal reason for non-response among women was the failure to find individuals at home, despite interviewers’ repeated visits to the household.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2013 National Demographic and Health Survey (NDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2013 NDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling error is a measure of the variability between the results of all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey data.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2013 NDHS sample is the result of a multistage stratified design, and, consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the 2013 NDHS is a SAS program. This program used the Taylor linearization method for variance estimation for survey estimates that are means or proportions. The Jackknife repeated replications method is used for variance estimation of more complex statistics such as fertility and mortality rates.

The Taylor linearization method treats any percentage or average as a ratio estimate, r = y/x, where y represents the total sample value for variable y, and x represents the total number of weighted cases in the group or subgroup under consideration.

Further details on sampling errors calculation are given in Appendix B of the final report.

Data appraisal

Data quality tables were produced to review the quality of the data: - Household age distribution - Age distribution of eligible and interviewed women - Completeness of reporting - Births by calendar years - Reporting of age at death in days - Reporting of age at death in months

Note: The tables are presented in APPENDIX C of the final report.

The number of unemployed persons in Philippines decreased to 1955.79 Thousand in September of 2025 from 2033.50 Thousand in August of 2025. This dataset provides - Philippines Unemployed Persons - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted, or arranged, is intended for habitation by a household. - Households: A household is a social unit consisting of a person living alone or a group of persons who sleep in the same housing unit and have a commong arrangement in the presparation and consumption of food. - Group quarters: Institutional population comprises persons who are found living in institutional living quarters. They may have their own families or households elsewhere but at the time of the census they are committed or confined in institutions, or they live in institutional living quarters and are usually subject to a common authority or management, or are bound by either a common public objective or a common personal interest.

Universe

Filipino nationals regardless of whether they are residing in Philipines at the time of the census and citizens of other countires having their usual residence in the Phillipines or those whose temporary residence will exceed a year from the time of their arrival.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: National Statistics Office

SAMPLE SIZE (person records): 6864758.

SAMPLE DESIGN: Systematic sample

Mode of data collection

Face-to-face [f2f]

Research instrument

Form 1: Listing Sheet, Form 2: Household Questionnaire, and Form 3: Institutional Population Questionnaire

Geographic coverage

National

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Abstract

The 2003 National Demographic and Health Survey (NDHS) is a nationally representative survey of 13,945 women age 15-49 and 5,009 men age 15-54. The main purpose of the 2003 NDHS is to provide policymakers and program managers with detailed information on fertility, family planning, childhood and adult mortality, maternal and child health, and knowledge and attitudes related to HIV/AIDS and other sexually transmitted infections. The 2003 NDHS also collects high quality data on family health: immunizations, prevalence and treatment of diarrhea and other diseases among children under five, antenatal visits, assistance at delivery and breastfeeding.

The 2003 NDHS is the third national sample survey undertaken in Philippines under the auspices of the worldwide Demographic and Health Surveys program.

The 2003 Philippines National Demographic and Health Survey (NDHS) is designed to provide upto-date information on population, family planning, and health to assist policymakers and program managers in evaluating and designing strategies for improving health and family planning services in the country. In particular, the 2003 NDHS has the following objectives: - Collect data at the national level, which will allow the calculation of demographic rates and, particularly, fertility and under-five mortality rates. - Analyze the direct and indirect factors that determine the level and trends of fertility. Indicators related to fertility will serve to inform plans for social and economic development. - Measure the level of contraceptive knowledge and practice by method, urban-rural residence, and region. - Collect data on knowledge and attitudes of women and men about sexually transmitted infections and HIV/AIDS and evaluate patterns of recent behavior regarding condom use. - Collect high-quality data on family health, including immunizations, prevalence and treatment of diarrhea and other diseases among children under five, antenatal visits, assistance at delivery, and breastfeeding.

Geographic coverage

National

Analysis unit

• Household
• Women age 15-49
• Men age 15-54

Universe

The population covered by the 1998 Phillipines NDS is defined as the universe of all females age 15-49 years, who are members of the sample household or visitors present at the time of interview and had slept in the sample households the night prior to the time of interview, regardless of marital status and all men age 15-54 living in the household.

Kind of data

Sample survey data

Sampling procedure

The 2003 NDHS is the first survey that used the new master sample created for household surveys on the basis of the 2000 Census of Population and Housing. The 2003 NDHS used one of the four replicates of the master sample. The sample was designed to represent the country as a whole, urban and rural areas, and each of the 17 administrative regions. In each region, a stratified, three-stage cluster sampling design was employed. In the first stage, 819 primary sampling units (PSUs) were selected with probability proportional to the number of households in the 2000 census. PSUs consisted of a barangay or a group of contiguous barangays. In the second stage, in each PSU, enumeration areas (EAs) were selected with probability proportional to the number of EAs. An EA is defined as an area with discernable boundaries consisting of about 150 contiguous households. All households in the selected EAs were listed in a separate field operation conducted May 7 through 21, 2003. In the third stage, from each EA, an average of 17 households was selected using systematic sampling.

Mode of data collection

Face-to-face

Research instrument

The 2003 NDHS used four questionnaires: a) Household Questionnaire, b) Health Module, c) Women's Questionnaire, and d) Men's Questionnaire. The content of the Women's Questionnaire was based on the MEASURE DHS+ Model “A” Questionnaire, which was developed for use in countries with high levels of contraceptive use. To modify the questionnaire to reflect relevant family planning and health issues in the Philippines, program input was solicited from Department of Health (DOH), Commission on Population (POPCOM), the University of the Philippines Population Institute (UPPI), the Food and Nutrition Research Institute (FNRI), the Philippine Health Insurance Corporation (PhilHealth), USAID, the National Statistics Coordination Board (NSCB), the National Economic and Development Authority (NEDA), the United Nations Children's Fund (UNICEF), and Dr. Mercedes B. Concepcion, professor emeritus at the University of the Philippines, as well as managers of USAID-sponsored projects in the Philippines. The questionnaires were translated from English into six major languages: Tagalog, Cebuano, Ilocano, Bicol, Hiligaynon, and Waray.

a) The Household Questionnaire was used to list all of the usual members and visitors in the selected households. Basic information collected for each person listed includes age, sex, education, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. Information on characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor of the house, and ownership of various durable goods, was also recorded in the Household Questionnaire. These items are indicators of the household's socioeconomic status.

b) The Health Module was aimed at apprising concerned agencies on the health status, practices, and attitude of the population. The module included the following topics:
- Health facility utilization - Noncommunicable diseases - Infectious diseases -Traditional medicines, healing practices, and alternative health care modalities - Health care financing -Environmental health.

c) The Women's Questionnaire was used to collect information from all women age 15-49. These women were asked questions on the following topics: - Background characteristics (e.g., education, media exposure) - Reproductive history - Knowledge and use of family planning methods - Fertility preferences - Antenatal, delivery, and postnatal care - Breastfeeding and infant feeding practices - Vaccinations and childhood illnesses - Marriage and sexual activity - Woman's work and husband's background characteristics - Infant's and children's feeding practices - Childhood mortality - Awareness and behavior regarding AIDS and other sexually transmitted infections - Awareness and behavior regarding tuberculosis

d) The Men's Questionnaire was administered to all men age 15-54 living in every third household in the NDHS sample. The Men's Questionnaire collected much of the same information found in the Women's Questionnaire but was shorter because it did not contain questions on reproductive history, maternal and child health, and nutrition. Instead, men were asked about their knowledge and participation in health-seeking practices for their children.

Cleaning operations

All completed questionnaires and the control forms were returned to the NSO Central Office in Manila for data processing, which consisted of manual editing, data entry and verification, and editing of computer-identified errors. An ad hoc group of seven regular employees of DSSD was created to work full time in the NDHS Data Processing Center. This group was responsible for the different aspects of NDHS data processing. There were 10 manual processors and 25 data encoders hired to process the data.

Manual editing started on July 15, 2003, and data entry started on July 21, 2003. The computer package program called CSPro (Census and Survey Processing System) was used for data entry, editing, and tabulation. To prepare the data entry programs, two NSO staff members spent three weeks in ORC Macro offices in Calverton, Maryland, in April and May 2003. Data processing was completed in October 29, 2003.

Response rate

For the 2003 NDHS sample, 13,914 households were selected, of which 12,694 were occupied (Table). Of these households, 12,586 were successfully interviewed, yielding a household response rate of 99 percent. Household response rates are similar in rural areas and in urban areas (99 percent).

Among the households interviewed, 13,945 women were identified as eligible respondents, and interviews were completed for 13,633 women, yielding a response rate of 98 percent. In a subsample of every third household, 5,009 men were identified to be eligible for individual interview. Of these, 4,766 were successfully interviewed, yielding a response rate of 95 percent.

Sampling error estimates

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2003 NDHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (e.g., mean, percentage), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from

Analysis unit

Persons and households

UNITS IDENTIFIED: - Dwellings: no - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: no

UNIT DESCRIPTIONS: - Dwellings: A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted or arranged is intended for habitation by one or more households. Structures or parts of structures not intended for habitation such as commercial, industrial, and agricultural buildings, or natural and man-made shelters such as caves, boats, abandoned trucks, culverts, etc., but used as living quarters by households are also considered as housing units. - Households: A household is a social unit consisting of a person living alone or a group of persons who (1) sleep in the same housing unit and (2) have a common arrangement for the preparation and consumption of food. - Group quarters: Institutional population comprises persons who are found living in institutional living quarters. They may have their own families or households elsewhere but at the time of the census they are committed or confined in institutions, or they live in institutional living quarters and are usually subject to a common authority or management, or are bound by either a common public objective or a common personal interest.

Universe

Filipino nationals regardless of whether they are residing in Philipines at the time of the census and citizens of other countires having their usual residence in the Phillipines or those whose temporary residence will exceed a year from the time of their arrival.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: National Statistics Office

SAMPLE SIZE (person records): 7417810.

SAMPLE DESIGN: Systematic cluster sampling

Mode of data collection

Face-to-face [f2f]

Research instrument

Three used: CPH Form 2- Common Household Questionnaire; 3- Sample Household questionnaire;and 4 - Instituttional Population Questionnaire

The 1998 Philippines National Demographic and Health Survey (NDHS). is a nationally-representative survey of 13,983 women age 15-49. The NDHS was designed to provide information on levels and trends of fertility, family planning knowledge and use, infant and child mortality, and maternal and child health. It was implemented by the National Statistics Office in collaboration with the Department of Health (DOH). Macro International Inc. of Calverton, Maryland provided technical assistance to the project, while financial assistance was provided by the U.S. Agency for International Development (USAID) and the DOH. Fieldwork for the NDHS took place from early March to early May 1998. The primary objective of the NDHS is to Provide up-to-date information on fertility levels; determinants of fertility; fertility preferences; infant and childhood mortality levels; awareness, approval, and use of family planning methods; breastfeeding practices; and maternal and child health. This information is intended to assist policy makers and program managers in evaluating and designing programs and strategies for improving health and family planning services in the country. MAIN RESULTS Survey data generally confirm patterns observed in the 1993 National Demographic Survey (NDS), showing increasing contraceptive use and declining fertility. FERTILITY Fertility Decline. The NDHS data indicate that fertility continues to decline gradually but steadily. At current levels, women will give birth an average of 3.7 children per woman during their reproductive years, a decline from the level of 4.1 recorded in the 1993 NDS. A total fertility rate of 3.7, however, is still considerably higher than the rates prevailing in neighboring Southeast Asian countries. Fertility Differentials. Survey data show that the large differential between urban and rural fertility levels is widening even further. While the total fertility rate in urban areas declined by about 15 percent over the last five years (from 3.5 to 3.0), the rate among rural women barely declined at all (from 4.8 to 4.7). Consequently, rural women give birth to almost two children more than urban women. Significant differences in fertility levels by region still exist. For example, fertility is more than twice as high in Eastern Visayas and Bicol Regions (with total fertility rates well over 5 births per woman) than in Metro Manila (with a rate of 2.5 births per woman). Fertility levels are closely related to women's education. Women with no formal education give birth to an average of 5.0 children in their lifetime, compared to 2.9 for women with at least some college education. Women with either elementary or high school education have intermediate fertility rates. Family Size Norms. One reason that fertility has not fallen more rapidly is that women in the Philippines still want moderately large families. Only one-third of women say they would ideally like to have one or two children, while another third state a desire for three children. The remaining third say they would choose four or more children. Overall, the mean ideal family size among all women is 3.2 children, identical to the mean found in 1993. Unplanned Fertility. Another reason for the relatively high fertility level is that unplanned pregnancies are still common in the Philippines. Overall, 45 percent of births in the five years prior to the survey were reported to be unplanned; 27 percent were mistimed (wanted later) and 18 percent were unwanted. If unwanted births could be eliminated altogether, the total fertility rate in the Philippines would be 2.7 births per woman instead of the actual level of 3.7. Age at First Birth. Fertility rates would be even higher if Filipino women did not have a pattem of late childbearing. The median age at first birth is 23 years in the Philippines, considerably higher than in most other countries. Another factor that holds down the overall level of fertility is the fact that about 9 or 10 percent of women never give birth, higher than the level of 3-4 percent found in most developing countries. FAMILY PLANNING Increasing Use of Contraception. A major cause of declining fertility in the Philippines has been the gradual but fairly steady increase in contraceptive use over the last three decades. The contraceptive prevalence rate has tripled since 1968, from 15 to 47 percent of married women. Although contraceptive use has increased since the 1993 NDS (from 40 to 47 percent of married women), comparison with the series of nationally representative Family Planning Surveys indicates that there has been a levelling-off in family planning use in recent years. Method Mix. Use of traditional methods of family planning has always accounted for a relatively high proportion of overall use in the Philippines, and data from the 1998 NDHS show the proportion holding steady at about 40 percent. The dominant changes in the "method mix" since 1993 have been an increase in use of injectables and traditional methods such as calendar rhythm and withdrawal and a decline in the proportions using female sterilization. Despite the decline in the latter, female sterilization still is the most widely used method, followed by the pill. Differentials in Family Planning Use. Differentials in current use of family planning in the 16 administrative regions of the country are large, ranging from 16 percent of married women in ARMM to 55 percent of those in Southern Mindanao and Central Luzon. Contraceptive use varies considerably by education of women. Only 15 percent of married women with no formal education are using a method, compared to half of those with some secondary school. The urban-rural gap in contraceptive use is moderate (51 vs. 42 percent, respectively). Knowledge of Contraception. Knowledge of contraceptive methods and supply sources has been almost universal in the Philippines for some time and the NDHS results indicate that 99 percent of currently married women age 15-49 have heard of at least one method of family planning. More than 9 in 10 married women know the pill, IUD, condom, and female sterilization, while about 8 in 10 have heard of injectables, male sterilization, rhythm, and withdrawal. Knowledge of injectables has increased far more than any other method, from 54 percent of married women in 1993 to 89 percent in 1998. Unmet Need for Family Planning. Unmet need for family planning services has declined since I993. Data from the 1993 NDS show that 26 percent of currently married women were in need of services, compared with 20 percent in the 1998 NDHS. A little under half of the unmet need is comprised of women who want to space their next birth, while just over half is for women who do not want any more children (limiters). If all women who say they want to space or limit their children were to use methods, the contraceptive prevalence rate could be increased from 47 percent to 70 percent of married women. Currently, about three-quarters of this "total demand" for family planning is being met. Discontinuation Rates. One challenge for the family planning program is to reduce the high levels of contraceptive discontinuation. NDHS data indicate that about 40 percent of contraceptive users in the Philippines stop using within 12 months of starting, almost one-third of whom stop because of an unwanted pregnancy (i.e., contraceptive failure). Discontinuation rates vary by method. Not surprisingly, the rates for the condom (60 percent), withdrawal (46 percent), and the pill (44 percent) are considerably higher than for the 1UD (14 percent). However, discontinuation rates for injectables are relatively high, considering that one dose is usually effective for three months. Fifty-two percent of injection users discontinue within one year of starting, a rate that is higher than for the pill. MATERNAL AND CHILD HEALTH Childhood Mortality. Survey results show that although the infant mortality rate remains unchanged, overall mortality of children under five has declined somewhat in recent years. Under-five mortality declined from 54 deaths per 1,000 births in 1988-92 to 48 for the period 1993-97. The infant mortality rate remained stable at about 35 per 1,000 births. Childhood Vaccination Coverage. The 1998 NDHS results show that 73 percent of children 12- 23 months are fully vaccinated by the date of the interview, almost identical to the level of 72 percent recorded in the 1993 NDS. When the data are restricted to vaccines received before the child's first birthday, however, only 65 percent of children age 12-23 months can be considered to be fully vaccinated. Childhood Health. The NDHS provides some data on childhood illness and treatment. Approximately one in four children under age five had a fever and 13 percent had respiratory illness in the two weeks before the survey. Of these, 58 percent were taken to a health facility for treatment. Seven percent of children under five were reported to have had diarrhea in the two weeks preceeding the survey. The fact that four-fifths of children with diarrhea received some type of oral rehydration therapy (fluid made from an ORS packet, recommended homemade fluid, or increased fluids) is encouraging. Breastfeeding Practices. Almost all Filipino babies (88 percent) are breastfed for some time, with a median duration of breastfeeding of 13 months. Although breastfeeding has beneficial effects on both the child and the mother, NDHS data indicate that supplementation of breastfeeding with other liquids and foods occurs too early in the Philippines. For example, among newborns less than two months of age, 19 percent were already receiving supplemental foods or liquids other than water. Maternal Health Care. NDHS data point to several areas regarding maternal health care in which improvements could be made. Although most Filipino mothers (86 percent) receive prenatal care from a doctor, nurse, or midwife, tetanus toxoid coverage is far from universal and

Abstract

Objectives:

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

Specifically, the survey is designed to provide statistics on levels and trends of employment, unemployment and underemployment for the country as a whole, and for each of the administrative regions.

Importance of the Labor Force Survey:

a. It provides a quantitative framework for the preparation of plans and formulation of policies affecting the labor market towards 1) creation and generation of gainful employment and livelihood opportunities 2) reduction of unemployment and promotion of employment 3) improvement of working conditions 4) enhancement of the welfare of a working person b. It provides statistics on levels and trends of employment and unemployment and underemployment for the country and regions; c. It is used for the projection of future manpower, which when compared with the future manpower requirements, will help identify employment and training needs; d. It helps in the assessment of the potential human resource available for economic development; and e. It identifies the differences in employment, unemployment, and underemployment according to the different economic, social and ethnic groups existing within the population.

Geographic coverage

The geographic coverage consists of the country's 17 administrative regions. The 17 regions are:

Region I - Ilocos,
Region II - Cagayan Valley, Region III - Central Luzon, Region IV-A - Calabarzon, Region IV-B - Mimaropa Region V - Bicol,
Region VI - Western Visayas,
Region VII - Central Visayas,
Region VIII - Eastern Visayas,
Region IX - Zamboanga Peninsula,
Region X - Northern Mindanao,
Region XI - Davao,
Region XII - Soccksargen,
Region XIII - National Capital Region (NCR),
Region XIV - Cordillera Administrative Region (CAR),
Region XV - Autonomous Region in Muslim Mindanao (ARMM) Region XVI - Caraga,

Starting this July 2003 round of the Labor Force Survey, the generation of the labor force and employment statistics adopted the 2003 Master Sample Design. - Using this new master sample design, the number of samples increased from 41,000 to around 51,000 sample households. - The province of Basilan is grouped under Autonomous Region in Muslim Mindanao while Isabela City (Basilan) is now grouped under Region IX. This is in consonance with the regional grouping under Executive Order No. 36. - The 1992 four-digit code for Philippine Standard Occupational Classification (PSOC) and 1994 Philippine Standard Industry Classification (PSIC) were used in classifying the occupation and industry. - Because of unavailability of data files for the province of Zamboanga Sibugay of Region IX and the provinces of Sulu and Lanao del Sur of ARMM on cut-off date, estimates at the national level and for the two regions exclude those of the said three provinces. Estimates for the three provinces will be included in the Final Results.

Analysis unit

Individuals

Universe

The LFS has as its target population, all household members of the sample housing units nationwide. A household is defined as an aggregate of persons, generally but not necessarily bound by ties of kinship, who live together under the same roof and eat together or share in common the household food. Household membership comprises the head of the household, relatives living with him such as his or her spouse, children, parent, brother or sister, son-in-law or daughter-in-law, grandson or granddaughter, and other relatives. Household membership likewise includes boarders, domestic helpers and non-relatives. A person who lives alone is considered a separate household.

Persons who reside in the institutions are not within the scope of the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design of the Labor Force Survey (LFS) uses the sampling design of the 2003 Master Sample (MS) for Household Surveys that started July 2003.

Sampling Frame

As in most household surveys, the 2003 MS used an area sample design. The Enumeration Area Reference File (EARF) of the 2000 Census of Population and Housing (CPH) was utilized as sampling frame. The EARF contains the number of households by enumeration area (EA) in each barangay. This frame was used to form the primary sampling units (PSUs). With consideration of the period for which the 2003 MS will be in use, the PSUs were formed/defined as a barangay or a combination of barangays with at least 500 households.

Stratification Scheme

Startification involves the division of the entire population into non-overlapping subgroups called starta. Prior to sample selection, the PSUs in each domain were stratified as follows: 1) All large PSUs were treated as separate strata and were referred to as certainty selections (self-representing PSUs). A PSU was considered large if it has a large probability of selection. 2) All other PSUs were then stratified by province, highly urbanized city (HUC) and independent component city (ICC). 3) Within each province/HUC/ICC, the PSUs were further stratified or grouped with respect to some socio-economic variables that were related to poverty incidence. These variables were: (a) the proportion of strongly built houses (PSTRONG); (b) an indication of the proportion of households engaged in agriculture (AGRI); and (c) the per-capita income (PERCAPITA).

Sample Selection

To have some control over the subsample size, the PSUs were selected with probability proportional to some estimated measure of size. The size measure refers to the total number of households from the 2000 CPH. Because of the wide variation in PSU sizes, PSUs with selection probabilities greater than 1 were identified and were included in the sample as certainty selections.

At the second stage, enumeration areas (EAs) were selected within sampled PSUs, and at the third stage, housing units were selected within sampled EAs. Generally, all households in sampled housing units were enumerated, except for few cases when the number of households in a housing unit exceeds three. In which case, a sample of three households in a sampled housing unit was selected at random with equal probability.

An EA is defined as an area with discernable boundaries within barangays, consisting of about 150 contiguous households. These EAs were identified during the 2000 CPH. A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted, or arranged, is intended for habitation by a household

Sample Size

The 2003 Master Sample consist of a sample of 2,835 PSUs of which 330 were certainty PSUs and 2,505 were non certainty PSUs. The number of households for the 2000 CPH was used as measure of size. The entire MS was divided into four sub-samples or independent replicates, such as a quarter sample contains one fourth of the PSUs found in one replicate; a half-sample contains one-half of the PSUs in two replicates. Thus, the survey covers a nationwide sample of about 51,000 households deemed sufficient to measure the levels of employment and unemployment at the national and regional levels.

Strategy for non-response

Replacement of sample households within the sample housing units is allowed only if the listed sample households had moved out of the housing unit. Replacement should be the household currently residing in the sample housing unit previously occupied by the original sample.

Sampling deviation

Starting the July 2003 round of the Labor Force Survey, the generation of the labor force and employment statistics adopted the 2003 Master Sample Design. - Using this new master sample design, the number of samples increased from 41,000 to around 51,000 sample households.

• The province of Basilan is grouped under Autonomous Region in Muslim Mindanao while Isabela City (Basilan) is now grouped under Region IX. This is to adopt the regional grouping under Executive Order No.36.
• The 1992 four-digit code for Philippine Standard Occupational Classification (PSOC) and 1994 Philippine Standard Industry Classification (PSIC) were used in classifying the occupation and industry.

Mode of data collection

Face-to-face [f2f]

Research instrument

ISH FORM 2 (LFS questionnaire) is a four-page, forty four-column questionnaire that is being used in the quarterly rounds of the Labor Force Survey nationwide. This questionnaire gathers data on the demographic and economic characteristics of the population.

On the first page of the questionnaire, the particulars about the geographic location, design codes and household auxiliary information of the sample household that is being interviewed are to be recorded. Certifications by the enumerator and his supervisor regarding the manner by which the data are collected are likewise to be made on this page.

The inside pages of the questionnaire contain the items to be determined about each member of the sample household. Columns 2 to 11 are for the demographic characteristics; columns 2 to 7A are to be ascertained of all members of the household regardless of age. Columns 8 to 9 are asked for members 5 years old and over, while column 10 is asked for members 5 to 24 years old, column 11, for 15 years old and over, while columns 12 to 16 are asked for members 5 years old and over. Items 18 to 44 on the other hand, are the series of items that will be asked of all the members 15 years old and over to determine their labor force and employment characteristics.

Most of the

Abstract

The 2002 Census of Agriculture (CA 2002) is a large-scale government operation geared towards the collection and compilation of statistics in the agriculture sector of the country. The collected data will constitute the bases from which policymakers and planners will formulate plans for the country's development.

The following were the objectives of CA 2002:

1. To determine the structure and characteristics of agricultural holdings;
2. To determine the number and distribution of households and enterprises engaged in agriculture and to gather information on the operation of these households and enterprises;
3. To provide the basis for sampling frame for other statistical undertakings; and
4. To provide basic data for use in national as well as sub-national development planning.

Specifically, it aims to: 1. Obtain comprehensive data on farm characterisitcs such as size, location, tenure status, irrigation system, crops planted, livestock/poultry raised, etc.; 2. Determine the type and number of equipment, machineries and facilities used in the operation of agricultural activities whether owned or rented; and 3. Provide benchmarks for the various statistical series which are designed to measure progress in agriculture.

Major findings include the following: 1. Central Visayas accounted for the highest number of farms but Bicol Region had the biggest farm area. 2. Almost all farms in the country were operated individually. 3. Most farms were owned by the agricultural operators. 4. More than half of the farms in the country were under temporary crops. 5. Palay remained as the major temporary crop in the country. 6. Coconut also remained as the dominant permanent crop. 7. Individual system irrigation was the most common in the country. 8. Number of hogs reared and tended increased by 1.1 milliion heads. 9. Raising of chicken was the prevalent poultry raising activity. 10. Ornamental and flower gardening (excluding orchid) was also common in the country. 11. Male operators dominated the agriculture sector. 12. Almost 80 percent of the household members engaged in agricultural activity were working in own agricultural holding. 13. Plow was the most common farm equipment in the country.

Geographic coverage

National Coverage

Analysis unit

Households

Universe

The census covered all households, agricultural operators, and agricultural establishments.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The CA 2002 adopted a one-stage stratified systematic sampling design where selection of sample barangays was done by city/muncipality (by district for the National Capital Region or NCR) and by stratum. However, for the provinces of Laguna, Isabela, Bukidnon, and Batanes, a full sample-census was adopted.

Except for the cities/municipalities of the full-sample barangays, all cities/municipalities (6 districts for NCR) were treated as domains and the barangays as the ultimate sampling units. The six districts of NCR are as follows: NCR I - Manila; NCR II - Quezon City; NCR III - San Juan, Cities of Mandaluyong, Marikina and Pasig; NCR IV - Malabon, Navotas, Cities of Kalookan and Valenzuela; NCR V - Pateros, Taguig and Makati City; and NCR VI - Cities of Pasay, Las Piñas, Muntinlupa, Parañaque

The sampling frame was based on the list of barangays taken from the results of the 2000 Census of Population and Housing (Census 2000) as of June 2002.

In each domain, all barangays were grouped into three strata, as follows: Stratum 1 - Barangays with the largest Total Farm Area (TFA) in the municipality based on the 1991 Census of Agriculture and fisheries (CAF) Stratum 2 - All other sample barangays of the 1991 CAF Stratum 3 - All other barangays in the sampling frame

The 1991 sample barangays in each domain were ranked by descending values of TFA. The barangays with the largest TFA in 1991, referred to as the certainty barangays, were included in Stratum 1. In cases where the certainty barangay was split into two or more barangays as a result of the creation of a new barangay (as of June 2002 master list of barangays), the new barangay was also treated as a certainty barangay. Sample barangays of the 1991 CAF not included in Stratum 1 were assigned in Stratum 2. Barangays with no TFA because they were not samples during the 1991 CAF were arranged in ascending order of the total number of households based on Census 2000. These barangays were assigned in Stratum 3.

All barangays in Stratum 1 were automatically taken as samples. Sample barangays in Strata 2 and 3 were systematically selected using a 25-percent sampling rate, except for NCR. The sampling rates for NCR were 50 percent and 10 percent for Stratum 2 and Stratum 3, respectively. In each sampled barangay, all households were covered.

All agricultural establishments identified in the 2002 List of Establishments, whether or not located in the sample barangays of CA 2002, and new agricultural establishments in the sample barangays during the enumeration of CA 2002, were enumerated.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

The accomplished census forms undergone several stages of data editing. These stages include the following:

1. Field editing which consisted of checking of consistency, correctness and completness of entries while in the field.
2. Manual Processing of accomplished questionnaires at the Provincial Offices where the following were done: a. Verification of geographic identification and completeness of forms b. Checking for legibility of entries c. Coding
3. Machine Processing which includes machine validation, consistency checking and completeness checking of entries.

Sampling error estimates

In order to provide a basis for assessing the reliability or precision of CA estimates, the estimation of the magnitude of sampling error in the census data was undertaken by the NSO for the 2002 CA. The standard error (SE) and coefficient of variation (C.V.) were used as measures of sampling error.

Abstract

The 2006 Census of Philippine Business and Industry - Agriculture, Hunting and Forestry Sector, and Fishing Sector (CPBI-AFF) is one of the designated statistical activities undertaken by the National Statistics Office (NSO). It sought to collect and generate information on the levels, structure and trends of economic activities in the entire country. Data collected from the census will served as a benchmark for the measurement and comparison of national, regional and provincial economic growth.

The data collected from the 2006 CPBI will constitute bases upon which the government and private sectors can formulate policies and evolve economic development plans. Specifically, the census data are used in constructing national and regional income accounts of the Philippine economy; formulating and monitoring plans and policies in the attainment of national and regional economic goals; determining and comparing regional and provincial economic structures and performances; providing updates for the frame of establishments; and conducting market research and feasibility studies.

The scope of the census consisted of 14 sectors of the Philippine economy as classified in the amended 1994 Philippine Standard Industrial Classification (PSIC). All information collected from the census refers to calendar year 2006 except for employment data which is as of 15 November 2006.

This metadata, however, contains the documentation of two sectors namely: Agriculture, Hunting and Forestry sector and Fishing sector classified as major divisions A and B in the amended 1994 PSIC. Data collected are on employment, compensation, revenue, subsidies, cost, fixed assets, intangible assets, capital expenditures and inventories. It also includes the procedures undertaken in all phases of the operation, scope and coverage, sampling design, publication volume, copy of questionnaire used, and other administrative and informative documents related to the census operation.

Geographic coverage

National coverage

Analysis unit

Entreprises

Universe

All establishments/enterprises engaged in agriculture, hunting, forestry and fishing activity.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The 2006 CPBI used stratified systematic sampling with five-digit PSIC or groups of five-digit PSIC and/or four-digit PSIC or groups of four-digit PSIC and/or three-digit PSIC or groups of three-digit PSIC serving as first stratification variable and total employment as the second stratification variable.

The sampling design for the 2006 CPBI consists of the following:

a. Determination of geographic domain b. Determination of industry domain c. Determination of employment strata d. Determination of sampling unit e. Determination of sample size f. Sample allocation g. Sample selection.

For the complete details of the above-mentioned procedures and sampling frame used, refer to technical documents Section 'Sampling Design' and 'Frame of Establishments', respectively, of the Publication Volume.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

Manual editing of data was done in three levels, as follows: · Field editing of data was done by the field officers, hired SRs and provincial staff upon collection of the accomplished questionnaires from the sample establishments. The objective is to check for completeness and consistency of entries in the questionnaires, following the instructions provided in the Field Operations and Processing Manual. Any inconsistent or missing data was corrected at this stage as this can be immediately verified from the respondents. · Office verification was done by provincial office staff upon receipt of the accomplished questionnaires from the field men and hired SRs. In some instances, the staff contacted directly the establishments through phone call or sent email inquiries to verify some inconsistent or missing data. · Desk verification was done by the ITSD staff to check the consistency and reasonableness of entries in the accomplished questionnaires. Consolidated reports of enterprises were disaggregated at the firm level based on the reports submitted by the enterprise using ratios and proportions of individual firms tof enterprise. This process also validated the status of establishments that were non-responding and reported closed, cannot be located, transferred, and out of scope. Telephone inquiry was extensively utilized to verify information from the establishment's contact person. The internet was also used to obtain information on the contact address and to research for information on the status of the establishment.

Machine processing was also done, consisting of data entry, structural and consistency checks and encoding of updates, and generation and analysis of completeness of questionnaires with ID validation and summary file reports. A microcomputer-based machine processing and tabulation system for the 2006 CPBI was developed by the IRD staff using Census and Survey Processing (CSPro) software. The system consisted of three modules namely: data entry module, validate data module which includes structural edit and completeness check, and tabulation module.

Data entry was done by IRD-Information and Technology Operations Division staff and ITSD subject matter staff while the remaining machine processing activities were done by the subject matter staff. CSPro version 3.0 was used with a highly structured data entry program. Range checks and skips were incorporated in the program.

Validate data module checked the acceptability of entries, completeness and consistencies of data items in the questionnaire including the completeness of responding samples with that of the sample reference file. The tabulation module consisted of the generation of unweighted and weighted tables for establishments with total employment of 20 and over and less than 20. The unweighted tables are simply the tally tables for the responding samples, that is, without adjustment for the weight of each sample.

The final tables were subjected to review and analysis to check for internal and external consistency and completeness of data, including the correctness in the computation of derived variables and indicators.

Response rate

The total number of sample establishments for the agriculture, hunting and forestry sector is 1,605. This is broken down by establishments size, that is, 651 for establishment with total employment of 20 and over while it is 954 for establishment with total employment of less than 20.

The overall response rate is 91.7 percent for the agriculture, hunting and forestry sector. For establishments with total employment of 20 and over, the response rate is 88.3 percent while that for establishments with total employment of less than 20 the response rate is 94.0 percent.

For the fishing sector, the total number of sample establishments is 689, that is, 156 for establishment with total employment of 20 and over, and 533 for establishment with total employment of less than 20.

The overall response rate is 97.5 percent for fishing sector. The response rate is 93.6 percent for establishments with total employment of 20 and over, and 98.7 percent for establishments with total employment of less than 20.

Sampling error estimates

The estimates of standard error by sector and industry were computed as input to the design of succeeding survey, in this case, the 2008 ASPBI.

Data appraisal

Indicators were derived to check for the consistency between data items and also compared with indicators of previous economic surveys and censuses. Growth rate of variables were also checked with data obtained from top 1000 corporations, as released by Securities and Exchange Commission.

Geographic coverage

National

Kind of data

Census/enumeration data [cen]

Sampling procedure

1156126 Households 6013913 Individuals

Mode of data collection

Face-to-face [f2f]

Philippines BPM: NES: Other Back Office Operations data was reported at 7.000 Unit in 2015. This records an increase from the previous number of 3.000 Unit for 2014. Philippines BPM: NES: Other Back Office Operations data is updated yearly, averaging 5.000 Unit from Dec 2014 (Median) to 2015, with 2 observations. The data reached an all-time high of 7.000 Unit in 2015 and a record low of 3.000 Unit in 2014. Philippines BPM: NES: Other Back Office Operations data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.S007: Annual Survey of Philippine Business and Industry (ASPBI): Business Process Management (BPM): Number of Establishments.

Philippines BPM: Employment: Other Back Office Operations data was reported at 1,618.000 Person in 2015. This records an increase from the previous number of 823.000 Person for 2014. Philippines BPM: Employment: Other Back Office Operations data is updated yearly, averaging 1,220.500 Person from Dec 2014 (Median) to 2015, with 2 observations. The data reached an all-time high of 1,618.000 Person in 2015 and a record low of 823.000 Person in 2014. Philippines BPM: Employment: Other Back Office Operations data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.S009: Annual Survey of Philippine Business and Industry (ASPBI): Business Process Management (BPM): Employment.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Abstract

The primary objective of the 2006 DHS is to provide to the Department of Health (DOH), Department of National Planning and Monitoring (DNPM) and other relevant institutions and users with updated and reliable data on infant and child mortality, fertility preferences, family planning behavior, maternal mortality, utilization of maternal and child health services, knowledge of HIV/AIDS and behavior, sexually risk behavior and information on the general household amenities. This information contributes to policy planning, monitoring, and program evaluation for development at all levels of government particularly at the national and provincial levels. The information will also be used to assess the performance of government development interventions aimed at addressing the targets set out under the MDG and MTDS. The long-term objective of the survey is to technically strengthen the capacity of the NSO in conducting and analyzing the results of future surveys.

The successful conduct and completion of this survey is a result of the combined effort of individuals and institutions particularly in their participation and cooperation in the Users Advisory Committee (UAC) and the National Steering Committee (NSC) in the different phases of the survey.

The survey was conducted by the Population and Social Statistics Division of the National Statistical Office of PNG. The 2006 DHS was jointly funded by the Government of PNG and Donor Partners through ADB while technical assistance was provided by International Consultants and NSO Philippines.

Geographic coverage

National level Regional level Urban and Rural

Analysis unit

• Households
• Individuals

Universe

The survey covered all de jure household members (usual residents), all women and men aged 15-50 years resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary focus of the 2006 DHS is to provide estimates of key population and health indicators at the national level. A secondary but important priority is to also provide estimates at the regional level, and for urban and rural areas respectively. The 2006 DHS employed the same survey methodology used in the 1996 DHS. The 2006 DHS sample was a two stage self-weighting systematic cluster sample of regions with the first stage being at the census unit level and the second stage at the household level. The 2000 Census frame comprised of a list of census units was used to select the sample of 10,000 households for the 2006 DHS.

A total of 667 clusters were selected from the four regions. All census units were listed in a geographic order within their districts, and districts within each province and the sample was selected accordingly through the use of appropriate sampling fraction. The distribution of households according to urban-rural sectors was as follows:

8,000 households were allocated to the rural areas of PNG. The proportional allocation was used to allocate the first 4,000 households to regions based on projected citizen household population in 2006. The other 4,000 households were allocated equally across all four regions to ensure that each region have sufficient sample for regional level analysis.

2,000 households were allocated to the urban areas of PNG using proportional allocation based on the 2006 projected urban citizen population. This allocation was to ensure that the most accurate estimates for urban areas are obtained at the national level.

All households in the selected census units were listed in a separate field operation from June to July 2006. From the list of households, 16 households were selected in the rural census units and 12 in the urban census units using systematic sampling. All women and men age 15-50 years who were either usual residents of the selected households or visitors present in the household on the night before the survey were eligible to be interviewed. Further information on the survey design is contained in Appendix A of the survey report.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires were used in the 2006 DHS namely; the Household Questionnaire (HHQ), the Female Individual Questionnaire (FIQ) and the Male Individual Questionnaire (MIQ). The planning and development of these questionnaires involved close consultation with the UAC members comprising of the following line departments and agencies namely; Department of Health (DOH), Department of Education (DOE), Department of National Planning and Monitoring (DNPM), National Aids Council Secretariat (NACS), Department of Agriculture and Livestock (DAL), Department of Labour and Employment (DLE), University of Papua New Guinea (UPNG), National Research Institute (NRI) and representatives from Development partners.

The HHQ was designed to collect background information for all members of the selected households. This information was used to identify eligible female and male respondents for the respective individual questionnaires. Additional information on household amenities and services, and malaria prevention was also collected.

The FIQ contains questions on respondents background, including marriage and polygyny; birth history, maternal and child health, knowledge and use of contraception, fertility preferences, HIV/AIDS including new modules on sexual risk behaviour and attitudes to issues of well being. All females age 15-50 years identified from the HHQ were eligible for interview using this questionnaire.

The MIQ collected almost the same information as in the FIQ except for birth history. All males age 15-50 years identified from the HHQ were eligible to be interviewed using the MIQ.

Two pre-tests were carried out aimed at testing the flow of the existing and new questions and the administering of the MIQ between March and April 2006. The final questionnaires contained all the modules used in the 1996 DHS including new modules on malaria prevention, sexual risk behaviour and attitudes to issues of well being.

Cleaning operations

All questionnaires from the field were sent to the NSO headquarters in Port Moresby in February 2007 for editing and coding, data entry and data cleaning. Editing was done in 3 stages to enable the creation of clean data files for each province from which the tabulations were generated. Data entry and processing were done using the CSPro software and was completed by October 2008.

Response rate

Table A.2 of the survey report provides a summary of the sample implementation of the 2006 DHS. Despite the recency of the household listing, approximately 7 per cent of households could not be contacted due to prolonged absence or because their dwellings were vacant or had been destroyed. Among the households contacted, a response rate of 97 per cent was achieved. Within the 9,017 households successfully interviewed, a total of 11, 456 women and 11, 463 of men age 15-49 years were eligible to be interviewed. Successful interviews were conducted with 90 per cent of eligible women (10, 353) and 88 per cent of eligible men (10,077). The most common cause of non-response was absence (5 per cent). Among the regions, the rate of success among women was highest in all the regions (92 per cent each) except for Momase region at 86 per cent. The rate of success among men was highest in Highlands and Islands region and lowest in Momase region. The overall response rate, calculated as the product of the household and female individual response rate (.97*.90) was 87 per cent.

Sampling error estimates

Appendix B of the survey report describes the general procedure in the computation of sampling errors of the sample survey estimates generated. It basically follows the procedure adopted in most Demographic and Health Surveys.

Data appraisal

Appendix C explains to the data users the quality of the 2006 DHS. Non-sampling errors are those that occur in surveys and censuses through the following causes: a) Failure to locate the selected household b) Mistakes in the way questions were asked c) Misunderstanding by the interviewer or respondent d) Coding errors e) Data entry errors, etc.

Total eradication of non-sampling errors is impossible however great measures were taken to minimize them as much as possible. These measures included: a) Careful questionnaire design b) Pretesting of survey instruments to guarantee their functionality c) A month of interviewers’ and supervisors’ training d) Careful fieldwork supervision including field visits by NSOHQ personnel e) A swift data processing prior to data entry f ) The use of interactive data entry software to minimize errors

Context

As an educator, I wanted to collate the collected data by the Republic of the Philippines Department of Education to check the current state of education in the country.

Content

So far, this dataset contains the total number of enrollees per year level (Kindergarten-Grade 12) as well as the total number of teachers per region in the Philippines from AY 2010-2011 to AY 2020-2021.

Notes:

1. Enrollees are not sorted by sex
2. Enrollees for each strand in senior high school is accounted for
3. Since the implementation of the senior high school program started in 2016, values prior to said year is 0

This will be updated depending on the availability of data from DepEd.

Acknowledgement

When used, please acknowledge the Republic of the Philippines Department of Education as the source of the data.

Philippines Govt Revenue: Non Tax: Bureau of Treasury data was reported at 7,789.000 PHP mn in Jun 2018. This records a decrease from the previous number of 21,378.000 PHP mn for May 2018. Philippines Govt Revenue: Non Tax: Bureau of Treasury data is updated monthly, averaging 3,969.000 PHP mn from Jan 1990 (Median) to Jun 2018, with 342 observations. The data reached an all-time high of 30,981.000 PHP mn in Jan 2011 and a record low of -1,297.000 PHP mn in Nov 1998. Philippines Govt Revenue: Non Tax: Bureau of Treasury data remains active status in CEIC and is reported by Bureau of the Treasury. The data is categorized under Global Database’s Philippines – Table PH.F001: National Government Revenue and Expenditure.

Abstract

The 2022 Philippines National Demographic and Health Survey (NDHS) was implemented by the Philippine Statistics Authority (PSA). Data collection took place from May 2 to June 22, 2022.

The primary objective of the 2022 NDHS is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the NDHS collected information on fertility, fertility preferences, family planning practices, childhood mortality, maternal and child health, nutrition, knowledge and attitudes regarding HIV/AIDS, violence against women, child discipline, early childhood development, and other health issues.

The information collected through the NDHS is intended to assist policymakers and program managers in designing and evaluating programs and strategies for improving the health of the country’s population. The 2022 NDHS also provides indicators anchored to the attainment of the Sustainable Development Goals (SDGs) and the new Philippine Development Plan for 2023 to 2028.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, and all children aged 0-4 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling scheme provides data representative of the country as a whole, for urban and rural areas separately, and for each of the country’s administrative regions. The sample selection methodology for the 2022 NDHS was based on a two-stage stratified sample design using the Master Sample Frame (MSF) designed and compiled by the PSA. The MSF was constructed based on the listing of households from the 2010 Census of Population and Housing and updated based on the listing of households from the 2015 Census of Population. The first stage involved a systematic selection of 1,247 primary sampling units (PSUs) distributed by province or HUC. A PSU can be a barangay, a portion of a large barangay, or two or more adjacent small barangays.

In the second stage, an equal take of either 22 or 29 sample housing units were selected from each sampled PSU using systematic random sampling. In situations where a housing unit contained one to three households, all households were interviewed. In the rare situation where a housing unit contained more than three households, no more than three households were interviewed. The survey interviewers were instructed to interview only the preselected housing units. No replacements and no changes of the preselected housing units were allowed in the implementing stage in order to prevent bias. Survey weights were calculated, added to the data file, and applied so that weighted results are representative estimates of indicators at the regional and national levels.

All women age 15–49 who were either usual residents of the selected households or visitors who stayed in the households the night before the survey were eligible to be interviewed. Among women eligible for an individual interview, one woman per household was selected for a module on women’s safety.

For further details on sample design, see APPENDIX A of the final report.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two questionnaires were used for the 2022 NDHS: the Household Questionnaire and the Woman’s Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to the Philippines. Input was solicited from various stakeholders representing government agencies, academe, and international agencies. The survey protocol was reviewed by the ICF Institutional Review Board.

After all questionnaires were finalized in English, they were translated into six major languages: Tagalog, Cebuano, Ilocano, Bikol, Hiligaynon, and Waray. The Household and Woman’s Questionnaires were programmed into tablet computers to allow for computer-assisted personal interviewing (CAPI) for data collection purposes, with the capability to choose any of the languages for each questionnaire.

Cleaning operations

Processing the 2022 NDHS data began almost as soon as fieldwork started, and data security procedures were in place in accordance with confidentiality of information as provided by Philippine laws. As data collection was completed in each PSU or cluster, all electronic data files were transferred securely via SyncCloud to a server maintained by the PSA Central Office in Quezon City. These data files were registered and checked for inconsistencies, incompleteness, and outliers. The field teams were alerted to any inconsistencies and errors while still in the area of assignment. Timely generation of field check tables allowed for effective monitoring of fieldwork, including tracking questionnaire completion rates. Only the field teams, project managers, and NDHS supervisors in the provincial, regional, and central offices were given access to the CAPI system and the SyncCloud server.

A team of secondary editors in the PSA Central Office carried out secondary editing, which involved resolving inconsistencies and recoding “other” responses; the former was conducted during data collection, and the latter was conducted following the completion of the fieldwork. Data editing was performed using the CSPro software package. The secondary editing of the data was completed in August 2022. The final cleaning of the data set was carried out by data processing specialists from The DHS Program in September 2022.

Response rate

A total of 35,470 households were selected for the 2022 NDHS sample, of which 30,621 were found to be occupied. Of the occupied households, 30,372 were successfully interviewed, yielding a response rate of 99%. In the interviewed households, 28,379 women age 15–49 were identified as eligible for individual interviews. Interviews were completed with 27,821 women, yielding a response rate of 98%.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and in data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2022 Philippines National Demographic and Health Survey (2022 NDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2022 NDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2022 NDHS sample was the result of a multistage stratified design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed in SAS using programs developed by ICF. These programs use the Taylor linearization method to estimate variances for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.

A more detailed description of estimates of sampling errors are presented in APPENDIX B of the survey report.

Data appraisal

Data Quality Tables

• Household age distribution
• Age distribution of eligible and interviewed women
• Age displacement at age 14/15
• Age displacement at age 49/50
• Pregnancy outcomes by years preceding the survey
• Completeness of reporting
• Observation of handwashing facility
• School attendance by single year of age
• Vaccination cards photographed
• Population pyramid
• Five-year mortality rates

See details of the data quality tables in Appendix C of the final report.

Comprehensive dataset containing 152 verified County government office businesses in Philippines with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 4,526 verified Local government office businesses in Philippines with complete contact information, ratings, reviews, and location data.