Abstract

The 2013 Survey on Information and Communication Technology (SICT) is one of the designated statistical activities undertaken by the Philippine Statistics Authority (PSA) to collect and generate information on the availability, distribution and access/utilization of ICT among establishments in the country.

The objectives of the 2013 SICT is to provide key measures of ICT access and use among establishments which will enable the assessment and monitoring of the digital divide in the country. Specifically, the survey aims to measure the following: - component of ICT resources and their utilization by establishments; - diffusion of ICT into establishments from various sources; - e-commerce transactions from data on e-commerce sales/revenue and purchases; - cellular mobile phone business transactions from data on sales/revenue; - estimate of the number of ICT workers in establishments; - methods of disposal of ICT equipment.

The SICT 2013 was a rider survey of the 2013 Annual Survey of Philippine Business and Industry.

Geographic coverage

Regional - "core" ICT and BPM industries are the regions National - "non-core" ICT industries

Analysis unit

An establishment, which is defined as an economic unit under a single ownership or control, i.e., under a single legal entity, engaged in one or predominantly one kind of economic activity at a single fixed location

Universe

The 2013 Survey on Information and Communication Technology (SICT) of Philippine Business and Industry covered all industries included in the 2013 Annual Survey of Philippine Business and Industry (ASPBI).

For the purpose of the survey, these industries were classified as core ICT industries and non-core ICT Industries. Core ICT industries were industries comprising the Information Economy (IE). The Information Economy is a term used to describe the economic and social value created through the ability to rapidly exchange information at anytime, anywhere to anyone. A distinctive characteristic of the information economy is the intensive use, by businesses of ICT for the collection, storage, processing and transmission of information. The use of ICT is supported by supply of ICT products from an ICT-producing sector through trade.

Information Economy is composed of the Information and Communication Technology Sector and Content and Media Sector. Industries comprising these two sectors are as follows: 1) Information and Communication Technology - ICT manufacturing industries - ICT trade industries - ICT service industries: - Software publishing - Telecommunication services - Computer programming, consultancy and related services - Data processing, hosting and related activities; web portals - Repair of computers and communication equipment 2) Content and Media - Publishing activities - Motion picture, video and television programme production, sound recording and music publishing activities - Programming and broadcasting activities

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2013 SICT utilized the stratified systematic sampling design with five-digit PSIC serving as industry strata (industry domain) and the employment size as the second stratification variable.

There were only two strata used for the survey, as follows: TE of 20 and over and TE of less than 20.

The industry stratification for the 2013 SICT is the 5-digit PSIC for both the core ICT industries and for the non-core ICT industries. It has the same industry strata as that of the 2013 ASPBI.

Establishments engaged in the core ICT industries were completely enumerated, regardless of employment size.

The establishments classified in the non-core ICT industries and with total employment of 20 and over were covered on a 20 percent sampling basis for each of the industry domain at the national level. The minimum sample size is set to 3 establishments and maximum of 10 establishments per cell (industry domain).

However, when the total number of establishments in the cell is less than the set minimum sample size, all establishments in that cell were taken as samples.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The scope of the study includes: - general information about the establishment - information and communication technology (ICT) resources of the establishment - network channels - use of ICT resources, Internet - website of the establishment - e-commerce via internet - e-commerce via computer networks other than the internet - use of mobile phones in selling and other business operation - purchase and disposal of ICT equipment

Cleaning operations

Manual processing took place in Provincial Offices at a number of stages throughout the processing, including: - coding of some data items - editing of questionnaires - checking completeness of entries - consistency check among variables.

Data processing was done in Field Offices and Central Office.

Field Offices were responsible for: - online data encoding and updating - completeness and consistency edits - folioing of questionnaires.

Central Office was responsible for: - online validation - completeness and consistency checks - summarization - tabulation.

Response rate

The overall response rate for the 2013 SICT was 87.04 percent (9,562 of the 10,986 sample establishments). This included receipts of "good" questionnaires, partially accomplished questionnaires, reports of closed, moved out or out of scope establishments. Sample establishments under core ICT industries reported 89.96 percent response rate ( 5,421 out of 6,026 establishments) while non-core ICT industries response rate was 83.48 percent (3,633 out of 4,352 sample establishments). On the other hand, industries classified in Business Process Management (BPM) had a response rate of 83.55 percent (508 out of 608 establishments).

Sampling error estimates

Not computed

Data appraisal

Data estimates were checked with those from other related surveys or administrative data.

The Pressure Swing Adsorption (PSA) oxygen generator market is projected to be valued at $1.5 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 8.5%, reaching approximately $3 billion by 2034.

The global pressure swing adsorption (PSA) technology market is projected to be valued at $1.8 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 7.1%, reaching approximately $3.5 billion by 2034.

The data underlying the public sector finances statistical bulletin are presented in the tables PSA 1 to 10.

Abstract

The Republic of the Philippines is making great efforts to develop agriculture at a pace necessary to meet the food requirements of the fast-growing population. It has become necessary to use current agricultural statistics that will help present an accurate picture of the country's food situation. Especially important are the expected supply and consumption requirements of the people, particularly of meat products. The Commercial Livestock and Poultry Survey (CLPS) seeks to provide if but partially, such information.

The CLPS is one of the major regular activities of the Livestock and Poultry Statistics Division (LPSD) under the Economic Sector Statistics Service (ESSS) of the Philippine Statistics Authority (PSA). The CLPS is undertaken to provide an estimate on current inventory and supply and disposition of commercial livestock and poultry farms. The CLPS is done quarterly for swine, broiler, and layer while data collection for carabao, cattle, goat, duck and sheep is likewise conducted semi-annually. The information present here is related to the layer module.

The survey covers all provinces including Dinagat Islands and two (2) chartered cities (Davao City and Zamboanga City). Moreover, a separate structured questionnaire in the collection of the necessary information for each animal type is utilized. Estimates generated from the CLPS and the Backyard Livestock and Poultry Survey (BLPS) are aggregated to come up with the total Livestock and Poultry (L&P) estimates. The data generated was perceived to be useful as guide for the government and the private sector in making plans and decisions with respect to farm production and improvement of the livestock and poultry industry.

The data generated from this survey are disseminated through the country STAT website and featured in the Quarterly Commodity Special Releases and Annual Commodity Situation Reports released every May. The collection of data on this survey is undertaken by hired Statistical Researchers (SRs) while the electronic processing is done by the regular staff in the Provincial Statistical Offices (POs). The SRs are trained prior to field operations to ensure that the procedures and concepts are understood. The training includes mock interviews and dry-run exercises.

Geographic coverage

National Coverage

Analysis unit

Entreprises

Universe

The CLPS covers all livestock and poultry farms with commercial type of operation. Commercial farm refers to a farm or household operated by a farmer/household/operator that raises at least one of the following: 1. Livestock - Carabao (Water Buffaloes), Cattle, Swine and Goat 2. Poultry - Layer, Broiler and Duck

Also, it must satisfy at least one of the following criteria: 1. Livestock · at least 21 heads of adult and zero head of young · at least 41 heads of young animals and above · at least 10 heads of adult and 22 heads of young and above

1. Poultry · at least 500 layers, or 1,000 broilers and above · at least 100 layers and 100 broilers if raised in combination and above · at least 100 head of duck regardless of age

The survey also covers traders such as assemblers and distributors, etc.

Trader refers to a person or entity that buys and sells goods or commodities.

Assembler refers to a type of trader who sources and procures his/her stocks from contract growers or independent farmers in several barangays in a specific municipality, and transports the produce to a trading or market center.

Distributor refers to a trader who sells commodities to other traders and consumers.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLE SELECTION PROCEDURE The sampling design used for each animal type are the same but are treated independently. The sampling design depends on the total number of commercial farms and the corresponding maximum housing capacities of the farms in the province. In provinces with less than 21 farms, all farms are completely enumerated. However, provinces with a large number of farms or those with 21 or more farms, stratification is applied using the Dalenius-Hodges method of stratification with the maximum housing capacity as stratification variable. The number of strata per province ranges from two (2) to four (4) depending on the heterogeneity or homogeneity of the maximum housing capacity. Sample allocation for each stratum is done using the Neyman procedure with coefficient of variation set at five percent (5%). A minimum of five (5) samples per stratum is allocated. A stratum may have less than 5 samples only if the total number of farms in that stratum is less than 5. Selection of samples from each stratum is done using simple random sampling.

The sample selection procedure is discussed as follows: 1. Rank all farms in ascending order according to their maximum housing capacity; 2. Delineate the stratum boundaries using Dalenius-Hodges method (unique stratum boundaries for each province are derived); 3. Determine the total number of commercial farms per stratum; 4. Allocate sample size for each stratum using Neyman procedure (a five percent (5%) coefficient of variation is assumed and a minimum of five (5) samples are taken when Nh = 5). For stratum with Nh<5, all farms in that stratum shall be enumerated; and 5. Select the required number of sample farms using the simple random sampling method.

For provinces where stratified sampling is employed, in case of non-response, adjustment of expansion factor is implemented by stratum and by animal type using the status of the sample commercial farms.

Comprehensive discussion on the estimation procedure is found in page 10 of the CLPS manual found in Related Materials.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

For CLPS, editing is done in two (2) stage. The first stage of editing is done during the data collection. The Statistical Researcher, before leaving the premises of the sample commercial farm, shall do field editing. This activity involves assuring that all data items in the questionnaires are asked and that the answers were written down correctly. The second stage of editing is conducted by the supervisor upon the submission of accomplished questionnaires/forms by the SR called manual editing.

The system used in processing the data collected from this survey was developed by the Systems Development Division (SDD) of PSA. CSPro, the software used in most of the surveys of PSA, is utilized.

Using a pre-formatted template, consolidated estimates are generated through the Provincial Summary Worksheets (PSW-C). This worksheet presents data for each sample commercial farm, raw provincial total data and expanded provincial total estimates.

These estimates are transferred manually into an excel-based validation sheet called the "Supply-Disposition Worksheets" where the PSO, together with the L&P focal person, act as data analysts. To ensure the quality of data, the generated outputs shall undergo data review and validation. Data review involves internal checks of the data collected, consistency and completeness check of data items and detection and correction of identified errors. Data validation, on the other hand, ensures that the estimates generated are truly reflective of the current industry situation. It involves a thorough analysis of the generated estimates using auxiliary information. Auxiliary information includes animal dispersal from government programs, weather condition, price trends, import and export among others. Data review and validation is supported by the Electronic Data Review Workbook (EDRW) Compilation System. This is a tool used in reviewing and validating the L&P statistics and commonly termed as "Supply-Disposition (S-D) Technique".

The outputs of the CLPS together with BLPS undergo three (3) levels of data review and validation. The first stage is at the Provincial level known as the Provincial Data Review (PDR) followed by the second level which takes place at the RSSOs, known as the Regional Data Review (RDR). During the RDR, the RSSOs shall likewise review and validate the outputs of the provinces under its jurisdiction.

The third level of data review and validation and is the final level is conducted at the Central Office. All outputs sent by the RSSOs shall be consolidated by the LPSD commodity specialists to generate the final livestock and poultry statistical tables as input in the preparation of reports.

Response rate

The response rate for the survey ranged from 85-90%.

Data appraisal

To ensure the quality of its statistical services, the PSA has mainstreamed in its statistical system for generating production statistics, a quarterly data review and validation process. This is undertaken at the provincial, regional and national levels to incorporate the impact of events not captured in the survey. The data review process starts at the data collection stage and continues up to the processing and tabulation of results. However, data examination is formalized during the provincial data review since it is at this stage where the data at the province-level is analyzed as a whole. The process involves analyzing the survey data in terms of completeness, consistency among variables, trend and concentration of the data and presence of extreme observations. Correction of spotted errors in the data is done afterwards. The output of the process is a clean data file used in the re-computation of survey estimates. The estimates generated from the clean data set are thoroughly analyzed and validated with auxiliary information to incorporate the impact of information and events not captured by the survey. This

Abstract

The Quarterly Survey of Philippine Business and Industry is a nationwide quarterly survey regularly conducted by the Philippine Statistics Authority. It aims to provide quarterly data on revenue/sales, employment and compensation for each of the identified key industries (3/5-digit level) as classified under the 2009 Philippine Standard Industrial Classification (PSIC).

Specifically, the survey data will be used by the Sectoral Statistics Office (created under RA 10625 - Philippine Statistical Act of 2013) in the generation of the Quarterly National Accounts (QNA) and in construction of the Quarterly Economic Indicators (QEI).

Geographic coverage

National and Regional

Analysis unit

Establishment

Universe

All establishments with total employment of 20 and over in the formal sector of the economy except agriculture, forestry and fishing.

Kind of data

Sample survey data [ssd]

Sampling procedure

The QSPBI frame consists of establishments, with ATE of 20 and over, as extracted from the latest available List of Establishments (LE) maintained by the Service and Industry Census Division (SICD) under Censuses and Technical Coordination Office of the PSA.

The updating of the LE involves (1) capturing and listing of characteristics of "new" establishments; (2) updating of the status and characteristics of "old" establishments; (3) de-listing "closed" establishments that should no longer form part of the LE and (4) identifying out-of-scope units on the database.

The 2015 ULE involved the complete enumeration of selected barangays where "no matched" establishments (establishments listed in other sources but not in the LE) from prioritized secondary sources are located. Also covered are barangays with new shopping malls, barangays having the highest number of establishments from the typhoon Yolanda affected cities/municipalities, barangays where there exist an establishment having an employment of 100 and over, and barangays with highest count of establishments for some provinces. Other "no matched" establishments, including those located in distant barangays, were covered using mail inquiry.

Other sources of updates are the survey feedbacks from the 2015 Quarterly Survey of Philippine Business and Industry (QSPBI) and 2015 Monthly Integrated Survey of Selected Industries (MISSI); list of branches and subsidiaries from the 2014 Annual Survey of Philippine Business and Industry and 2014 Survey of Tourism Establishments in the Philippines (STEP).

Mode of data collection

Other [oth]

Cleaning operations

To determine the completeness, consistency and reasonableness of entries in the accomplished questionnaires, the field office staff field edited and verified the accomplished reports based on specified editing and consistency checks instructions.

Doubtful entries were resolved immediately at the Provincial Office through phone calls or personal visits by defining or clarifying problems regarding the establishments' reports.

Response rate

For 1st quarter 2015 QSPBI, 95.3% response rate.

For 2nd quarter 2015 QSPBI, 91.4% response rate.

For 3rd quarter 2015, 91.4% response rate.

For 4th quarter 2015, 92.6% response rate.

For 1st quarter 2016 QSPBI, 95.7% response rate.

For 2nd quarter 2016 QSPBI, 95.4% response rate.

For 3rd quarter 2016, 94.4% response rate.

For 4th quarter 2016, 90.8% response rate.

Sampling error estimates

The current sample selection procedure of the QSPBI is not probability sampling, hence no sampling error estimates are computed.

Data appraisal

Data Evaluation:

Evaluation of the reports from establishments is done by comparing the growth rates of the variables in the current quarter report with the previous quarter report. That is, the ratio of the two succeeding (consecutive) reports for each of the data items should be within a specified range. These set ranges are based on the observed movements or trends from the historical reports of the establishments within the same industry groups. Reports that deviate from these ranges need to be verified with the establishment/respondent for correction or explanation.

Field Awards:

The Field Awards is an incentive system for the Philippine Statistics Authority regional and provincial offices to motivate the field offices to perform quality outputs in mandated activities and to conduct programs to support and promote its mission and vision. It also aims to increase PSA visibility not only among sub-national and local government agencies but also with the private sectors.

The Field Awards centers on efficiency, innovativeness, creativity and productivity of field offices. The Field Awards is dynamic and changes in criteria, weights and documentation requirements depend on the priorities of the office.

Due to different revision policies public sector data in the Public Sector Finances and general government data transmitted to Eurostat under the Excessive Deficit Procedure (EDP) legislation and ESA transmission programme have not been consistent with data published in National Accounts. A project commenced in late 2012 to align these datasets for the period from 1997 to 2007. This article covers works to align central government, local government and public corporation data.

Source agency: Office for National Statistics

Designation: Supporting material

Language: English

Alternative title: Public Sector Alignment, PSA,

Abstract

The Labor Turnover Survey (LTS) aims to generate quarterly data on labor turnover (accession and separation rates) as indicators of labor market activity in large business enterprises.

The information gathered in this survey is intended to generate timely labor market signals as sound basis in planning, policy formulation and decision making in goverment, business and industry.

Geographic coverage

National capital region

Analysis unit

Enterprise

Universe

The sampling frame for the 2016 LTS is an integrated list from enterprises culled from the 2015 List of Establishments in the NCR prepared by the Philippine Statistics Authority (PSA) and the updated sampling frames of LTS 2014 and LTS 2015. This comprises 16,194 business firms/enterprises with an employment size of at least 20.

Kind of data

Sample survey data [ssd]

Sampling procedure

The enterprise is the unit of enumeration in the LTS and it has for its sampling domain the eighteen (18) major industry groups (1-digit) based on the 2009 PSIC. The survey covered business enterprises located in the National Capital Region (NCR) to provide a quick and timely assessment of the labor market activity through a sample survey with manageable sample size given the limited budget. NCR accounts for one-third of the country's gross domestic product and about two-thirds of the total large business enterprises in the Philippines.

The sampling frame for the 2016 LTS is an integrated list from enterprises culled from the 2015 List of Establishment in the NCR prepared by the Philippine Statistics Authority (PSA) in coordination with Service and Industry Census Division (SICD) the updated sampling frames of LTS 2014 and LTS 2015. This comprises 16,194 business firms/enterprises with an employment size of at least 20. This list was obtained and updated prior to the conduct of LTS for the first quarter of 2016. The updated frame was used in the sample size determination and sample selection for the first quarter survey round. The same sample size was retained in all quarters of the year.

After each survey round, all enterprises that responded are automatically considered as samples for the next survey rounds. To fill up the lack in the computed sample size, samples will be drawn by industry from the updated sampling frame. In cases where there are no enterprises to sample in some industries, the total number of samples needed for these industries will be allocated proportionally to other industries with available samples.

The sample enterprises in each domain were drawn through simple random sampling.

Sampling deviation

Replacement of sample enterprise is done when the sampled enterprise falls in one of the following situation during the field operation: (1) cannot be located; (2) refuse to answer; (3) temporarily closed; (4) duplicate of another sample enterprise; (5) permanently closed; or (6) on strike.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire contained the following information:

1. Name and Address of Enterprise

2. Main Economic Activity and Major Products/Goods or Services

3. Item of Information

I. Employment A. Total Employment ( Month 1. Month 2, Month 3)

II. Labor Turnover A. Total Accessions (New Hires) 1. Expansion 2. Replacement

B. Total Separation 1. Employee-initiated 2. Employer-initiated

III. Agency-hired Workers

IV. Existing Job Vacancies

1. Certification of Respondents

2. Survey Personnel

Response rate

1st Qtr - 96.59 % 2nd Qtr - 98.22 % 3rd Qtr - 97.33 % 4th Qtr - 100.00 %

The monthly Updating Percentages may be used as a contractual basis for the reimbursement of increased costs on measured term contracts let on all PSA Schedules of Rates or other forms of maintenance contracts as well as assisting in updating estimates.

These statistics are now produced by BCIS and can be found on their website. BIS no longer has any involvement with the production of these statistics

Source agency: Business, Innovation and Skills

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: MTC Updating Percentages Online

Philippines Ceramic Tiles Market size was valued at USD 3.7 Billion in 2024 and is projected to reach USD 6.4 Billion by 2032, growing at a CAGR of 6.26% from 2026 to 2032.Key Market Drivers:Construction Sector Growth and Infrastructure Development: The Philippine government's Build, Build, Build initiative and significant construction activity have fueled demand for ceramic tiles. According to the Philippine Statistics Authority (PSA), the construction industry expanded by 12.7% in 2023, with 41,020 authorized building permits in Q4 2023 alone. Residential building, which relies largely on ceramic tiles, accounted for almost 70% of all permits.

Abstract

The Occupational Wages Survey (OWS) generates statistics for wage and salary administration and for wage determination in collective bargaining negotiations. This nationwide biennial survey covers establishments employing at least 20 workers.

The OWS is one of the designated statistical activities in E.O. 352 (s.1996) that designates those critical for decision making by the government and the private sector. Moreover, the data category average monthly occupational wage rates in selected occupation is among those listed by the Philippine government under the Special Data Dissemination Standard (SDDS) of the International Monetary Fund. The SDDS serves as reference to member countries in the dissemination of economic and financial data to the public.

Geographic coverage

National coverage, 17 administrative regions

Analysis unit

Establishment

Universe

The survey covers agricultural and non-agricultural establishments employing 20 or more workers except central banking, public administration and defense and compulsory social security, public education services, public medical, dental and other health services, activities of membership organizations, activities of households as employers of domestic personnel, undifferentiated goods-and-services-producing activities of households for own use and activities of extra-territorial organizations and bodies.

Pre-determined industries for wage monitoring now total to 50 due to the inclusion of agriculture, forestry and fishery; and the splitting and merging of original domains with the adoption of the 2009 PSIC.

Inclusion of new domains: - Crop and Animal Production, Hunting and Related Service Activities; Forestry and Logging (A01/A02) - Fishing and Aquaculture (A03) - Manufacture of Basic Pharmaceutical Products and Pharmaceutical Preparation (C21)

Splitting of original domains: - Publishing and Printing (D221/D222/D223 of 1994 PSIC as amended) into Printing and Reproduction of Recorded Media (C18); and Publishing Activities (J58) - Supporting and Auxiliary Transport Activities; Activities of Travel Agencies (I63 of 1994 PSIC as amended) into Warehousing and Support Activities for Transportation (H52); and Travel Agency, Tour Operator, Reservation Service and Related Activities (N79)

Merging of original domains: - Banking Institutions except Central Banking (J65 excl. J6510 of 1994 PSIC as amended) and Non-Bank Financial Intermediation (J66 of 1994 PSIC as amended) into Financial Service Activities except Insurance, Pension Funding and Central Banking (K64 excl. K6411)

Kind of data

Sample survey data [ssd]

Sampling procedure

Statistical unit: The statistical unit is the establishment. Each unit is classified to an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

Survey universe/Sampling frame: The 2014 BLES Survey Sampling Frame (2014 SSF) is an integrated list of establishments culled from the updated 2012 BLES Survey Sampling Frame based on the status of establishments reported in the 2011/2012 BLES Integrated Survey (BITS) and 2012 Occupational Wages Survey (OWS). Other sources were Lists of Establishments from the National Statistics Office (2012), DOLE Regional Office IV-B,and the BLES Job Displacement Monitoring System (JDMS).

Sampling design: The OWS is a sample survey of agricultural and non-agricultural establishments employing 20 persons or more where the survey domain is the industry. Those establishments employing at least 200 persons are covered with certainty and the rest are sampled (stratified random sampling). The design does not consider the region as a domain to allow for detailed industry groupings.

Sample size: For 2014 OWS, the number of establishments covered was 8,399, of which, 6,595 were eligible units.

Mode of data collection

Other [oth]

Research instrument

The questionnaire contains the following sections:

Cover Page (Page 1) This contains the address box, contact particulars for assistance, spaces for changes in the name and location of sample establishment and head office information in case the questionnaire is endorsed to it and status codes of the establishment to be accomplished by PSA and its field personnel.

Survey Information (Page 2) This contains the survey objective and uses of the data, scope of the survey, confidentiality clause, collection authority, authorized field personnel, coverage, periodicity and reference period, due date for accomplishment and expected date when the results of the 2014 OWS would be available.

Part A: General Information (Page 3) This portion inquires on main economic activity, major products/goods or services and total employment.

Part B: Employment and Wage Rates of Time-Rate Workers on Full-Time Basis (Pages 4-5) This section requires data on the number of time-rate workers on full-time basis by time unit and by basic pay and allowance intervals.

Part C: Employment and Wage Rates of Time-Rate Workers on Full-Time Basis in Selected Occupations (Pages 6-9) This part inquires on the basic pay and allowance per time unit and corresponding number of workers in the two benchmark occupations and in the pre-determined occupations listed in the occupational sheet to be provided to the establishment where applicable.

Part D: Certification (Page 10) This portion is provided for the respondent's name/signature, position, telephone no., fax no. and e-mail address and time spent in answering the questionnaire.

Appropriate spaces are also provided to elicit comments on data provided for the 2014 OWS; results of the 2012 OWS; and presentation/packaging, particularly on the definition of terms, layout, font and color.

Part E: Survey Personnel (Page 10) This portion is for the particulars of the enumerators and area/regional supervisors and reviewers at the PSA Central Office and PSA Field Offices involved in the data collection and review of questionnaire entries.

Part F: Industries With Selected Occupations (Page 11) The list of industries for occupational wage monitoring has been provided to guide the enumerators in ensuring that the correct occupational sheet has been furnished to the respondent.

Selected Statistics from 2012 OWS (Page 12) The results of the 2012 OWS are found on page 12 of the questionnaire. These results can serve as a guide to the survey personnel in editing/review of the entries in the questionnaire.

Cleaning operations

Data are manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the establishments to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. The forms are again checked for data consistency and completeness by their field supervisors.

The LSRSD personnel undertake the final review, coding of information on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification, personally or through mail.

Response rate

The response rate in terms of eligible units was 87.2%.

Data appraisal

The survey results are checked for consistency with the results of previous OWS data and the minimum wage rates corresponding to the reference period of the survey.

Average wage rates of unskilled workers by region is compared for proximity with the corresponding minimum wage rates during the survey reference period.

Unemployment Rate in Philippines decreased to 3.80 percent in September from 3.90 percent in August of 2025. This dataset provides - Philippines Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Error: Market size or CAGR data missing from stored procedure.

Abstract

Considering tourism as driver and contributor to the economic growth of the country, a national policy on tourism was passed - the Republic Act Numbered 9593 otherwise known as Tourism Act of 2009.With this Act, the State declares tourism “as an indispensable element of the national economy and an industry of national interest and importance, which must be harnessed as an engine of socio-economic growth and cultural affirmation to generate investment, foreign exchange and sense of national pride for all Filipinos”. Moreover, the Philippine Statistical Development Plan provides the blueprint of development of the tourism industry. This is in recognition of the importance, role and impact of tourism on the social and economic development and environment and cultural landscape in the country. Therefore, there is a need to measure the economic contribution of tourism as an input to effective and efficient policy research, monitoring, analysis and development of the tourism industry.

The Philippine Tourism Satellite Account (PTSA) provides the framework by which the economic contribution of tourism is measured. Using this account, it is possible to quantify the contribution of tourism industry in the economy within the context of the Philippine Systems of National Accounts (PSNA).

The Philippine Statistics Authority (PSA) conducted the 2014 Survey of Tourism Establishments in the Philippines (STEP) second round. The 2014 STEP was a nationwide survey of establishments in the formal sector engaged in tourism characteristic industries. This survey collected information on the available supply of tourism goods, products and services, which are valuable inputs in the compilation of the PTSA.

The general objective of the 2014 STEP is to provide data on tourism characteristic establishments in the country.

Specifically, the 2014 STEP aims to: - provide data on the supply and capacity in terms of facilities and services - gather data on employment by sex and nationality - gather data on revenue generated from tourist - provide information on indicators for future expansion and/or renovation plans

Geographic coverage

Establishment with Total Employment (TE) 20 and Over - National and Regional Level Establishment with TE Less than 20 - National Level

Analysis unit

Establishment - defined as an economic unit, which engages, under a single ownership or control, i.e. under a single legal entity, in one or predominantly one kind of economic activity at a single fixed physical location. Thus, stores, shops, transport companies, hotels, restaurants, banks, insurance companies, real estate development companies and the like are considered establishments.

Universe

All tourism characteristic establishments operating in 2014.

Tourism characteristic industries as defined in the IRTS 2008 (International Recommendation of Tourism Statistics) with grouping according to industry sub-class (5-digit) of the 2009 PSIC.

It covered the following tourism characteristic industries: - Accommodation (I55 except I55901- Dormitories/boarding houses); - Chartered buses and cars operation (e.g. tourist buses, rent-a-car) (H49204 and H49324).

The other tourism characteristic industries were taken on a sampling basis.

Kind of data

Sample survey data [ssd]

Sampling procedure

In general, the establishment with total employment (TE) 100 and over is a certainty stratum for industries covered in the 2014 STEP.

For the purposes of 2014 STEP, only the following tourism characteristic industries regardless of employment size were completely enumerated (100% coverage): - I55101 - Hotel and motels - I55102 - Resort Hotels - I55103 - Condotels - I55104 - Pension Houses - I55105 - Camping sites/facilities - I55109 - Other shorts term accommodation activities - I55909 - Other accommodation

The sample establishments in the sampling strata of TE of less than 20 were selected using systematic sampling by industry domain and employment stratum at the national level. For each industry domain and employment stratum, the establishments are sorted by region, province from largest actual employment to smallest actual employment, business name and ECN.

For each of the sampling strata of TE of 20 and over (i.e. TE 20-49 and TE 50-99) sample establishments were selected using systematic sampling within the region. For each region in the employment stratum and industry domain, the establishments are sorted by province from largest actual employment to smallest actual employment, business name and ECN.

Systematic sampling was chosen so that the sample employment values were spread out, resulting from having representative samples for each TE size in the employment stratum. Likewise, this mode of sampling provided implicit stratification of TE by employment size group, thus avoiding all sample establishments with low TE values or high TE values.

Mode of data collection

Other [oth]

Research instrument

The following questionnaires were used in the survey: - STEP Form 1: Accommodation - STEP Form 2: Restaurants - STEP Form 3: Transport Operators; Tour and Travel Agencies - STEP Form 4: Health and Wellness - STEP Form 5: Other Tourism Activities

Cleaning operations

Manual processing took place in Provincial Offices at a number of stages throughout the processing, including: - coding of some data items - editing of questionnaires - completeness of entries check - consistency check among variables

Data processing was done in Field Offices and Central Office.

Field Offices: - completeness and consistency edits - folioing of questionnaires

Central Office: - online data encoding and updating - online validation - completeness and consistency checks - summarization - tabulation

Response rate

Total response rate as of 30 September 2016 for all establishments by tourism characteristic industry was 85.2 percent (6,142 out of 7,210 establishments).

Of the total responses, 65 establishments responded online.

Sampling error estimates

Not computed

Data appraisal

Data estimates would be checked with those from other related surveys or administrative data.

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Abstract

The Corn Production Survey is one of the two modules of the Palay and Corn Production Survey (PCPS), formerly known as the Rice and Corn Production Survey (RCPS). The Corn Production Survey (CPS) is a quarterly survey conducted by the Philippine Statistics Authority (PSA). It aims to generate estimates on corn production, area and yield and other related information at the provincial level. The four rounds are conducted in January, April, July and October. Each round generates estimates for the immediate past quarter and forecasts for the next two quarters. Results of the survey serve as inputs to planners and policy makers on matters concerning the corn industry.

Geographic coverage

National Coverage

Analysis unit

Households

Universe

Farming households in the barangays.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling procedure used in the Corn Production Survey (CPS) 2016 was first implemented in 1994. This is a replicated two-stage stratified sampling design with province as the domain, barangay as the Primary Sampling Unit (PSU) and farming household as the Secondary Sampling Unit (SSU).

The results of the 1991 Census of Agriculture and Fisheries (CAF 1991) serve as sampling frame at the PSU and SSU levels. In the said census, the largest barangay in a municipality is taken with certainty while a 50 percent sampling rate is used for selecting the remaining barangays in the municipality. This scheme effectively resulted in the generation of two sub-universes: a sub universe of barangays with probability of selection equal to one (these barangays are called 'certainty barangays') and another sub-universe of barangays with probability of selection equal to 0.5. This characteristic of the CAF 1991 data is used in the selection of sample barangays for the CPS.

The barangays are arrayed in ascending order based on corn area which are stratified such that the aggregate corn area of the barangays belonging to one stratum is more or less equal to the aggregate corn area of the barangays in any other stratum. Ten strata are formed for major corn producing provinces and five for minor producing provinces. In all these provinces, the last stratum consisted of the certainty barangays per CAF 1991 design.

For each stratum, four (4) sample barangays are drawn independently using Probability Proportional to Size (PPS) sampling with the barangay's corn area as size measure. This resulted with four (4) independent sets of barangays (i.e., four replicates) for the province. Systematic sampling is used in drawing the sample farming households in each sample barangay.

For economic reasons, sample size per barangay is limited to a minimum of four (4) and a maximum of twenty-five (25). To correct for this limitation of the design, the use of household weights is instituted. A detailed discussion of weighting in the CPS is included in the survey's estimation procedure attached as a Technical Document.

In November 2007, an updating of the list of farming households in all corn sample barangays nationwide was done to address the problem of non-response due to transfer of residence, stoppage of farm operation, passing away of operator etc. Consequently, a new set of sample households was drawn.

Respondents who refused to be interviewed, not home, unknown and transferred to another barangay are treated as missing and are replaced at the central office for the next quarter's survey. The replacement samples are taken from the list of replacements (farming households) for the barangay and are reflected in the list of sample households for the next round.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

Prior to data encoding, the accomplished survey returns are manually edited and coded. Manual editing is checking of responses to the Corn Production Survey (CPS) questionnaire in terms of acceptability and validity. This activity aims at improving the quality of data collected by the SRs. It involves the checking of data items based on criteria like completeness of data, consistency with other data items and data ranges. Coding is the assignment of alpha-numeric codes to questionnaire items to facilitate encoding.

Encoded data are subjected to computerized editing using a customized editing program. The editing program take into consideration the validation criteria such as validity, completeness and consistency with other data items. This activity is done to capture invalid entries that were overlooked during manual editing. An error listing is produced as output of the process. The errors reflected in said lists are verified vis-à-vis the questionnaires. The data files are updated based on the corrections made. Editing and updating are performed iteratively until a clean, error-free data file is generated.

Completeness check is done to compare the data file against a master file of barangays to check if the sample barangays have been completely surveyed or not. This activity is done after a clean, error-free data file is generated.

Response rate

CPS 2016 registered response rates which averaged 74.28% across its quarterly surveys - April 2016 Round, July 2016 Round, October 2016 Round and January 2017 Round.

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