The PSA
Household
CRS/ID
Coordination
Establishment
100

The PSA aims to be a global leader in these three service areas.

statistics, civil registration, and identification services

100

This survey provides insights into Filipino living standards by tracking income, expenditures, and consumption.

Family Income and Expenditure Survey (FIES)

100

This unique 12-digit number is permanently assigned to every registered Filipino under PhilSys.

National ID Number

100

This annual celebration promotes awareness and appreciation of statistics across all sectors of society.

National Statistics Month (NSM)

100

This PSA survey collects data on employment practices, labor relations, and occupational safety.

Integrated Survey on Labor and Employment (ISLE)

200

The middle name of the official currently serving as the Regional Director of RSSO VI.

Calimlim

200

The collective term used for the households, housing
units, and institutional living quarters (ILQs) during the  2020 CPH.

Enumeration Units

200

This PSA service allows you to request birth, marriage, or death certificates online.

PSA Serbilis

200

The updated name of the national agency leading the Regional SDG Catch-up Plans to address lagging indicators.

Department of Economy, Planning, and Development (DepDEV)

200

One goal of ASPBI is to generate statistics for this group of businesses, classified by employment size.

Micro, Small, and Medium Enterprises (MSMEs)

300

This body can recommend executive and legislative measures and approve the PSDP.

PSA Board

300

A housing unit under construction is listed only if these two structural elements are in place.

Roof and Walls

300

This feature of PhilSys allows government agencies to verify identity without requiring physical ID presentation.

PhilSys Check/digital identity verification system

300

This sector is tapped to provide technical assistance in research and statistical activities under the RSDP.

Academic Institutions

300

This sampling method used in ASPBI ensures representation across industry and employment strata by selecting samples within defined groups.

Stratified Systematic Sampling

M
e
n
u