Survey on Information and Communication Technology 2019
Philippines, 2020 - 2021
Reference ID
PHL-PSA-SICT-2019-V2.0
Producer(s)
Philippine Statistics Authority (PSA)
Collection(s)
Metadata
Created on
Aug 05, 2024
Last modified
Aug 05, 2024
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Identification
Title
Survey on Information and Communication Technology 2019
Countries
| Name | Abbreviation |
|---|---|
| Philippines | PHL |
idno
PHL-PSA-SICT-2019-V2.0
Study notes
The 2019 Survey on Information and Communication Technology (SICT) is the eight in the series of SICT and the fourth conducted by the Philippine Statistics Authority (PSA). It is a rider to the 2019 Annual Survey of Philippine Business and Industry (ASPBI) conducted in 2020.
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
* an estimate of the number of ICT workers in establishments
* methods of disposal of ICT equipment
* presence of social media accounts of establishments
Some indicators to be generated from the survey are as follows:
* the proportion of establishments using computer
* the proportion of employees using computers
* the proportion of establishments with Internet connections
* the proportion of employees using the Internet at work
* the proportion of establishments with Website
* the proportion of establishments with Intranet
* the proportion of establishments placing and receiving orders over the Internet
* the proportion of establishments using the Internet by type of access and activity
* the proportion of establishments with LAN and Extranet
* the proportion of establishments on methods of disposal of ICT equipment
* the proportion of establishment with social media accounts
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
* an estimate of the number of ICT workers in establishments
* methods of disposal of ICT equipment
* presence of social media accounts of establishments
Some indicators to be generated from the survey are as follows:
* the proportion of establishments using computer
* the proportion of employees using computers
* the proportion of establishments with Internet connections
* the proportion of employees using the Internet at work
* the proportion of establishments with Website
* the proportion of establishments with Intranet
* the proportion of establishments placing and receiving orders over the Internet
* the proportion of establishments using the Internet by type of access and activity
* the proportion of establishments with LAN and Extranet
* the proportion of establishments on methods of disposal of ICT equipment
* the proportion of establishment with social media accounts
Kind of data
Sample survey data [ssd]
Unit of analysis
Establishment - 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.
Version
Version
Version 2.0 : Final dataset for official estimates
Version date
2022-06-30
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Science, technology and innovation | Philippine Statistics Authority | |
| Information society | Philippine Statistics Authority | |
| Business and agricultural surveys | Philippine Statistics Authority |
Keywords
| keyword | URI |
|---|---|
| Survey | |
| Employment | |
| Information Communication Technology | |
| Core | |
| Non-Core | |
| Business Process Management | |
| Establishment |
Coverage
Geographic coverage
The geographic domain for establishments under core ICT and BPM industries is the region, while for those establishments classified under non-core ICT industries, the geographic domain is at the national level. Hence, the samples of the 2019 SICT for core ICT and BPM industries can provide estimates at the regional level, while the non-core ICT industries can provide data at the national level only.
Unit of analysis
Establishment - 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 samples of the 2019 Annual Survey of Philippine Business and Industry.
Producers and sponsors
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Government of the Philippines | GOP |
Sampling
Sampling procedure
The 2019 SICT utilized the stratified systematic sampling design with 3-digit PSIC serving as industry strata (industry domain) and the employment size as the second stratification variable, except for ICT Core and BPM industries which is at the 5-digit PSIC level.
Industry Domain
The industry domain, referred as industry stratum, for the 2019 SICT are the 5-digit PSIC level (sub-class) for core ICT industries and BPM industries and 3-digit PSIC level (industry group) for non-core ICT industries. Generally, the industry strata are the same for all establishments within the Micro, Small and Medium classification.
MSME Domain
Considering the need for data on MSMEs, the establishments were grouped according to the following:
Micro - Total employment of 1 to 9
Small - Total employment of 10 to 99
Medium - Total employment of 100 to 199
Large - Total employment of 200 and over
Geographic Domain
For all employment sizes, the geographic domain for the core ICT and BPM industries are the regions; while for the non-core ICT industries will be at the national level for 2019 SICT.
Sample Size and Allocation
The primary consideration in the determination of sample size for the survey was its manageability at the optimum level of estimated budget without compromising the reliability and timely release of survey results. The sample size was computed based on the target CV of eight (8) percent.
The sample size was determined by MSME Classification and Industry Stratum. Minimum sample size is set to 5 establishments per cell (industry domain and employment stratum). However, when the total number of establishments (N) in the cell is equal to or less than the set minimum sample size, all establishments in that cell are taken as samples.
Samples under Certainty Stratum
All establishments with TE 100 and over under the core ICT and BPM industries (Stratum 1) were already considered as samples for the survey.
Allocation for Non-Certainty
Proportional allocation was applied to the non-certainty employment strata for each 5-digit level (industry sub-class) under core ICT and BPM industries within the region. Furthermore, samples were proportionately allocated for each 3-digit level (industry group) under non-core ICT industries at the national level.
Sample Selection
For core ICT and BPM Industries, the samples were selected using stratified systematic sampling within the region while non-core ICT industries were at the national level. The establishments are sorted by province from largest actual employment to smallest actual employment, business name and ECN.
Stratified Systematic sampling was chosen so that the TE values of the sample establishments are spread out, resulting from good representation of samples within the employment stratum, thus avoiding all sample establishments with low TE values or high TE values.
Industry Domain
The industry domain, referred as industry stratum, for the 2019 SICT are the 5-digit PSIC level (sub-class) for core ICT industries and BPM industries and 3-digit PSIC level (industry group) for non-core ICT industries. Generally, the industry strata are the same for all establishments within the Micro, Small and Medium classification.
MSME Domain
Considering the need for data on MSMEs, the establishments were grouped according to the following:
Micro - Total employment of 1 to 9
Small - Total employment of 10 to 99
Medium - Total employment of 100 to 199
Large - Total employment of 200 and over
Geographic Domain
For all employment sizes, the geographic domain for the core ICT and BPM industries are the regions; while for the non-core ICT industries will be at the national level for 2019 SICT.
Sample Size and Allocation
The primary consideration in the determination of sample size for the survey was its manageability at the optimum level of estimated budget without compromising the reliability and timely release of survey results. The sample size was computed based on the target CV of eight (8) percent.
The sample size was determined by MSME Classification and Industry Stratum. Minimum sample size is set to 5 establishments per cell (industry domain and employment stratum). However, when the total number of establishments (N) in the cell is equal to or less than the set minimum sample size, all establishments in that cell are taken as samples.
Samples under Certainty Stratum
All establishments with TE 100 and over under the core ICT and BPM industries (Stratum 1) were already considered as samples for the survey.
Allocation for Non-Certainty
Proportional allocation was applied to the non-certainty employment strata for each 5-digit level (industry sub-class) under core ICT and BPM industries within the region. Furthermore, samples were proportionately allocated for each 3-digit level (industry group) under non-core ICT industries at the national level.
Sample Selection
For core ICT and BPM Industries, the samples were selected using stratified systematic sampling within the region while non-core ICT industries were at the national level. The establishments are sorted by province from largest actual employment to smallest actual employment, business name and ECN.
Stratified Systematic sampling was chosen so that the TE values of the sample establishments are spread out, resulting from good representation of samples within the employment stratum, thus avoiding all sample establishments with low TE values or high TE values.
Response rate
The overall response rate for the 2019 SICT is 78.1 percent (10,120 of the 12,959 sample establishments). This included receipts of "good" questionnaires, partially accomplished questionnaires, and reports of closed, moved out, or out of scope establishments. In addition, 384 establishments responded online.
Weighting
For Core ICT and BPM industries with TE 100 and over, the weight is equal to 1.
Estimation Procedure
For Core Industries,
Base Weight
The base weight is the inverse of the probability of selection. For the SICT, the base weight for each domain is given by:
Whk = Nh/nh
where:
Whk = weight of the kth establishment in the hth stratum
Nh = total no. of establishments in the hth stratum
nh = total no. of sample establishments in the hth stratum
h = refers to the industry-employment stratum
Adjustment Factor
To take into account the non-responding sample establishments, the adjustment factor by region and industry domain is as follows:
Formula
For Non-core industries,
Weight Adjustment Factor for Non-Response
To account for non-response in the non-certainty strata, the adjustment factor (n/n') was multiplied with the sampling weight (W) of each of the sampling unit. The sampling weight, defined as N/n, was recomputed as
W' = N/n*n/n' = N/n'
Thus, the adjusted weight (W'sj) for employment stratum in TE of 20 and over was
W'sj = Ns/ns * ns/n's = Ns/n's
where:
Ns = total number of establishments in the employment stratum in TE 20 and over in the sth industry domain
n's = number of responding establishments in the employment stratum in TE 20 and over in the sth industry domain
Estimation Procedure
For Core Industries,
Base Weight
The base weight is the inverse of the probability of selection. For the SICT, the base weight for each domain is given by:
Whk = Nh/nh
where:
Whk = weight of the kth establishment in the hth stratum
Nh = total no. of establishments in the hth stratum
nh = total no. of sample establishments in the hth stratum
h = refers to the industry-employment stratum
Adjustment Factor
To take into account the non-responding sample establishments, the adjustment factor by region and industry domain is as follows:
Formula
For Non-core industries,
Weight Adjustment Factor for Non-Response
To account for non-response in the non-certainty strata, the adjustment factor (n/n') was multiplied with the sampling weight (W) of each of the sampling unit. The sampling weight, defined as N/n, was recomputed as
W' = N/n*n/n' = N/n'
Thus, the adjusted weight (W'sj) for employment stratum in TE of 20 and over was
W'sj = Ns/ns * ns/n's = Ns/n's
where:
Ns = total number of establishments in the employment stratum in TE 20 and over in the sth industry domain
n's = number of responding establishments in the employment stratum in TE 20 and over in the sth industry domain
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2020-11-10 | 2021-01-29 |
Time period(s)
| Start | End | Cycle |
|---|---|---|
| 2019-12-31 | 2019-11-15 | Information and Communication Technology (ICT) Resources of the establishment, System and Application Software, Purchase and Disposal of ICT equipment |
| 2019-12-31 | All other data items |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
To ensure quality of data during operations, close supervision of enumeration was undertaken by RDs/PSOs/OICs/Regional and Provincial Statisticians.
Questionnaires
There is only one type of questionnaire for the 2019 SICT which will capture data for sample establishments of the 18 sectors of the economy as defined in the 2009 PSIC. The clearance number for the 2019 SICT Form 1 is PSA-2042, and its expiry date is 30 September 2021.
The 2019 SICT questionnaire is available in three versions, namely, printed, electronic and online.
Printed Questionnaire
The printed questionnaire will be distributed to sample establishments by PSA personnel and will be collected one week after.
Electronic Questionnaire
The electronic copy of the questionnaire, whether in excel or fillable pdf file, is to be emailed to sample establishments either by CO or PSO personnel, upon request.
Online Questionnaire
The questionnaires can be accessed online at https://sict.psa.gov.ph. This URL is indicated in the cover page of the questionnaire as well as in the SICT primer which will also be distributed to establishments. Furthermore, the URL is mentioned in the notification email that will be sent to sample establishments two weeks before the start of the distribution of questionnaires.
I General Information about this Establishment
II Information and Communication Technology (ICT) Resources of this Establishment
III Network Channels
IV Internet Connection of this Establishment
V Uses of ICT Resources in the Operations of this Establishment
VI Use of Internet for Other Processes within the Establishment
VII Website of this Establishment
VIII E-Commerce via Internet and Network Channels other than Internet
IX Use of Cellular Mobile Phone/Smartphone in Selling and other Business Operation
X Social Media Account of this Establishment
XI Purchase and Disposal of ICT Equipment
XII Other General Information about the Establishment
XIII Evaluation of the SICT Questionnaire
Remarks
Certification
Contact Person
Processing Information
Due to the developments in the ICT industries, the data items to be collected in the 2019 SICT questionnaire had been evaluated by the PSA in coordination with DICT. Hence, revisions were adapted with the addition of some data items and categories of the data items of the 2019 SICT questionnaire.
Furthermore, the following were indicated in the questionnaire for emphasis and guidance:
1. Confidentiality of information (as stated in Section 26 of RA 10625)
2. Penalties (as stated in Section 27 of RA 10625)
3. Instructions on how to accomplish the questionnaire online
4. Definition of total employment, and paid and unpaid employees
An evaluation of the 2019 SICT questionnaire was also included after accomplishing the general information about the establishment.
The 2019 SICT questionnaire is available in three versions, namely, printed, electronic and online.
Printed Questionnaire
The printed questionnaire will be distributed to sample establishments by PSA personnel and will be collected one week after.
Electronic Questionnaire
The electronic copy of the questionnaire, whether in excel or fillable pdf file, is to be emailed to sample establishments either by CO or PSO personnel, upon request.
Online Questionnaire
The questionnaires can be accessed online at https://sict.psa.gov.ph. This URL is indicated in the cover page of the questionnaire as well as in the SICT primer which will also be distributed to establishments. Furthermore, the URL is mentioned in the notification email that will be sent to sample establishments two weeks before the start of the distribution of questionnaires.
I General Information about this Establishment
II Information and Communication Technology (ICT) Resources of this Establishment
III Network Channels
IV Internet Connection of this Establishment
V Uses of ICT Resources in the Operations of this Establishment
VI Use of Internet for Other Processes within the Establishment
VII Website of this Establishment
VIII E-Commerce via Internet and Network Channels other than Internet
IX Use of Cellular Mobile Phone/Smartphone in Selling and other Business Operation
X Social Media Account of this Establishment
XI Purchase and Disposal of ICT Equipment
XII Other General Information about the Establishment
XIII Evaluation of the SICT Questionnaire
Remarks
Certification
Contact Person
Processing Information
Due to the developments in the ICT industries, the data items to be collected in the 2019 SICT questionnaire had been evaluated by the PSA in coordination with DICT. Hence, revisions were adapted with the addition of some data items and categories of the data items of the 2019 SICT questionnaire.
Furthermore, the following were indicated in the questionnaire for emphasis and guidance:
1. Confidentiality of information (as stated in Section 26 of RA 10625)
2. Penalties (as stated in Section 27 of RA 10625)
3. Instructions on how to accomplish the questionnaire online
4. Definition of total employment, and paid and unpaid employees
An evaluation of the 2019 SICT questionnaire was also included after accomplishing the general information about the establishment.
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| Philippine Statistics Authority | PSA | National Economic and Development Authority |
Data Processing
Data editing
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
* consistency check among variables
Data processing was done in Field Offices and Central Office.
Field Offices
* online data encoding and updating
* completeness and consistency edits
* folioing of questionnaires
Central Office
* online validation
* completeness and consistency checks
* summarization
* tabulation
Detailed documentation of the editing of data can be found in the "Data processing guidelines" document provided as an external resource.
* coding of some data items
* editing of questionnaires
* completeness of entries
* consistency check among variables
Data processing was done in Field Offices and Central Office.
Field Offices
* online data encoding and updating
* completeness and consistency edits
* folioing of questionnaires
Central Office
* online validation
* completeness and consistency checks
* summarization
* tabulation
Detailed documentation of the editing of data can be found in the "Data processing guidelines" document provided as an external resource.
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| National Statistician | Philippine Statistics Authority | data@psa.gov.ph | www.psa.gov.ph |
Access conditions
Authorization to use this data is granted only to the client or data user and persons within its organization, if applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts thereof to any other data user apart from himself or that of authorized employees in his organization. The PSA shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA.
Citation requirements
Philippine Statistics Authority, Survey on Information and Communication Technology 2019 (SICT 2019), Version 2.0 of the public use dataset (2019), provided by the PSA Data Archive. www.psa.gov.ph/psada
Disclaimer and copyrights
Disclaimer
The data users/researchers acknowledge that the PSA bears no liabilities and responsibilities for any particular, indirect, or consequential damages or any damages, whatsoever resulting from loss of use, or of data in connection with the use or for interpretations or inferences based upon such uses.
Copyrights
(c) 2019, Philippine Statistics Authority
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| Knowledge Management and Communications Division | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
| Registers and Database Management Division | Philippine Statistics Authority | rdmd.staff@psa.gov.ph | www.psa.gov.ph |
| Services Statistics Division | Philippine Statistics Authority | ssd.esss.staff@psa.gov.ph | www.psa.gov.ph |