HOW IS THE HOMELESS RATE MEASURED IN THE PHILIPPINES?
HOW IS THE HOMELESS RATE MEASURED IN THE PHILIPPINES?
When one reads that there are 4.5 million homeless individuals in the Philippines, the question immediately arises: Measured how? That figure, widely circulated and quoted, is built on shifting sands. Before we can even talk about remedies or policies, we must pause and examine the foundations.
The slippery definition problem
First, what do we mean by “homeless”? In everyday parlance, it might mean “people without a house.” But in social science, in policy, and in comparative studies, the term is more nuanced. Globally, a person is often considered homeless if they lack a decent place to sleep at night, including those in temporary shelters or unfit dwellings. Under that broad definition, those living in barong-barong (makeshift shanties) or informal settlements might well be counted. That has profound implications for the size of the “homeless” population.
In the Philippines, the lack of a uniform, official definition means that estimates vary wildly. Sometimes “homeless” is restricted to those sleeping in parks, sidewalks, or other public spaces. In other surveys or reports, it is broadened to include informal settlers, squatters, or even households living in inadequate housing forms. The Philippine Statistics Authority (PSA) technical notes say that “homeless refers to individuals or households living in the streets or public … spaces.” But that narrow definition excludes many precarious households who are often grouped under “informal settlers,” “slum dwellers,” or “urban poor.” In the 2020 Census, the PSA said that those living in streets or public spaces “who have no usual place of residence … should be listed where they are found.”
Thus, even before counting, we confront definitional ambiguity. And the ambiguity is meaningful: adopting the broader definition would “balloon” the numbers, as you noted.
Complicating matters is the notion of a housing backlog—a frequently used term in Philippine housing policy. The backlog is often defined as the number of housing units needed to meet demand (for those who can afford them). It is not equivalent to homelessness; many people in the housing backlog are simply inadequately housed (crowded residences, informal structures) rather than totally homeless. Yet in policy discourse, the two sometimes become conflated.
How the state (tries to) measure homelessness
Given the definitional murk, what empirical methods does the Philippine government (and allied organizations) use?
Census inclusion / enumeration of institutional populations
The PSA’s Census of Population and Housing (CPH) collects data about housing types, tenure status, and living arrangements. In principle, this can flag households without formal housing. The PSA also collects data on “institutional populations”—those in shelters, dormitories, and other non-household living quarters.
In practice, the 2024 Census (Community-Based Monitoring System, or POPCEN-CBMS) explicitly included a “midnight survey” of homeless individuals in Bacolod City, counting 127 persons living on sidewalks.
That shows that enumeration of the homeless is possible if done intentionally.
Administrative and social welfare records
The Department of Social Welfare and Development (DSWD) tracks clients served, including “homeless street families” under its programs. But these are service-based counts—only those who interact with or are reached by the government or NGOs. Many homeless people never register for or access formal services, so they remain “invisible” in the records.Proxies and estimates from civil society / international bodies
Non-government organizations, universities, and international agencies often make projections or estimates (e.g. 4.5 million homeless, or 250,000 children in street situations). The OHCHR, in a joint submission, cites that estimate, noting that two-thirds of them may be in Metro Manila. But those are approximations, often based on extrapolating from small studies.Relocation and shelter statistics
The PSA also reports on relocated populations, and on households living in relocation areas or in rent-free houses without the consent of owners. In the 2020 census, for example, 57,281 persons were living in relocation areas, while only 12,615 were counted as homeless (i.e. in streets or public spaces).
That gap hints at a mismatch: many people live in conditions arguably akin to homelessness (relocation areas, informal shelters), but are not counted under the narrow “homeless” label.
What the numbers suggest (and hide)
The oft-quoted 4.5 million homeless is widely repeated in media and civil society. Some sources state that about 250,000 children are “in street situations,” though that may be a severe underestimate (others suggest up to 1 million).
One study claims that of the 4.5 million, two-thirds (≈ 3 million) live in Metro Manila.
Yet the PSA’s 2020 census counted only 12,615 persons explicitly as homeless (living in streets/public spaces) across the country. That is orders of magnitude lower than the 4.5 million claim.
Furthermore, in the 2020 census, tens of thousands of households were recorded as “rent-free houses and lots without the consent of an owner” (59,826 households)
These discrepancies illustrate the tension between narrow enumeration and broad estimates. The narrow count (streets/public spaces) yields a small number; the broader, more inclusive definition leads to millions.
My reflections, questions, suggestions
Definition must come first
Before we talk about “homeless rate,” we must agree: is homelessness only those with no shelter whatsoever (roofless), or does it include those in makeshift dwellings, unstable tenure, or substandard housing? Without consensus, any number is contestable.Separate homelessness from housing backlog
The housing backlog is a useful metric for supply and demand in housing, but it is not equivalent to homelessness. We must avoid conflating “people without decent housing” with “people without any housing,” lest both numbers become meaningless.Local enumeration by LGUs
Yes, as you suggest, tasking local government units (LGUs) to conduct street counts, midnight surveys, or periodic mapping of informal settlements would yield richer, more grounded data. LGU data—if standardized—can be aggregated upward.Standardize methodology nationally
The national government, through PSA, DSWD, and HUD/settlements agencies, must produce a standard protocol: a mix of point-in-time counts, service records, and household surveys. Such a protocol would define categories (roofless, sheltered, precariously housed) and count methods (surveys, mapping, administrative data).Use technology and geospatial tools
Innovations like satellite imagery, drone mapping, or geotagged passenger footfall can help detect informal settlement growth and slum densification. Some development researchers already apply machine learning to infer poverty from imagery. These tools could supplement ground enumeration.Transparency and public access
Whatever data is collected should be made publicly available (subject to privacy safeguards). Civil society, academia, journalists—all should be able to audit, verify, challenge, and build upon the data.Policy must follow fact, not vice versa
The risk is that homelessness policy becomes guided by the politically convenient numbers rather than hard realities. If we undercount, we under-invest; if we overcount, resources may be diluted. The definition and numbers must serve policy, not the other way around.
The phrase “4.5 million homeless Filipinos” has become a rhetorical touchstone. But behind it lies ambiguity: Who counts as homeless? What method was used? What is included and what is excluded? Until we settle those questions, any “homeless rate” is more guess than measurement.
If I were to propose a starting path: define categories (roofless, sheltered, precarious), pilot enumeration in several cities (e.g. Manila, Cebu, Davao), compare LGU data with national protocols, and gradually scale upward. Only then can we speak of a “homeless rate” with confidence—and then design policies proportionate to the true scale of the problem.
Ramon Ike V. Seneres, www.facebook.com/ike.seneres
iseneres@yahoo.com, senseneres.blogspot.com
02-01-2026
Comments
Post a Comment