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Comparative Socioeconomic Analysis

Comparative statistical analysis of municipalities in Laguna Province covering population, households, and social welfare programs. Supporting MSWDO planning, assessment, and decision-making.

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Liliw • Magdalena • Majayjay
Laguna Province
1. Dataset
Population & Households Social Welfare Programs All Data
Viewing: Social Welfare Programs · 2023 · Liliw, Magdalena, Majayjay
2. Year
2015 2020 2021 2022 2023 2024 2025 2026
Descriptive Analysis Program Beneficiaries Report & Download Key Insights Recommendations

Descriptive Analysis

Total Beneficiaries (2023)
9,974
Highest: Majayjay
Population, Households & Beneficiaries per Municipality

Grouped bar chart 2023

Program Beneficiaries Analysis

Senior Citizen Pension
Highest Demand Program
7,362 total beneficiaries
Liliw
1,837
Total Beneficiaries
Magdalena
3,816
Total Beneficiaries
Majayjay
4,321
Total Beneficiaries
Programs per Municipality (Stacked)

4Ps, AICS, PWD Assistance, Senior Citizen Pension, Solo Parent 2023

Beneficiaries Trend (Yearly)

Total beneficiaries over all years

Note: Only usable annual counts are shown. Missing records and stored 0 are N/A, not zero beneficiaries.
Program LiliwMagdalenaMajayjay Total Highest
4Ps 350 N/A N/A 350 Liliw
AICS N/A N/A N/A N/A N/A
PWD Assistance 445 605 510 1,560 Magdalena
Senior Citizen Pension 800 3,037 3,525 7,362 Majayjay
Solo Parent 242 174 286 702 Majayjay

Totals use known annual counts only. Any N/A cell (missing record or stored 0) means the total does not represent all three municipalities.

Analysis Report & Download

Social Welfare Programs Analysis Report
Reporting period
Reporting year 2023; program records available 2015 to 2026
Dataset
Social Welfare Programs
Municipalities
Liliw, Magdalena, Majayjay
Recorded beneficiaries
9,974 (3 of 3 municipalities have records)
The report contains
  • Title, reporting period, dataset, municipalities and date generated
  • Data summary and tables: beneficiaries by program, municipality summary, yearly totals
  • Methodology, AHP-weighted ranking, recommendations, and limitations / missing-data notes

Report for 2023

Read it here, or download a copy. Every format matches the selected dataset and year.

Data Notes & Limitations
  • Figures are annual beneficiary counts (month IS NULL). Stored 0, NULL, and missing annual records are shown as N/A because they mean data have not yet been entered. They are not treated as verified zero beneficiaries.
  • Monthly program rows are not added to annual municipality totals. Soft-deleted records are excluded.
  • No budget, unit cost, eligibility, need or outcome data are used, so the counts describe recorded reach only and do not measure program effectiveness.
  • The records do not state whether a person who receives more than one program is counted once or once per program, so the total across programs may not equal the number of unique persons.
  • Liliw: N/A for AICS in 2023; the total covers known programs only and does not represent every program.
  • Liliw: no census population for 2023, so beneficiaries as a share of population is not calculated. Census records exist for: 2015, 2020, 2024.
  • Magdalena: N/A for 4Ps, AICS in 2023; the total covers known programs only and does not represent every program.
  • Magdalena: no census population for 2023, so beneficiaries as a share of population is not calculated. Census records exist for: 2015, 2020, 2024.
  • Majayjay: N/A for 4Ps, AICS in 2023; the total covers known programs only and does not represent every program.
  • Majayjay: no census population for 2023, so beneficiaries as a share of population is not calculated. Census records exist for: 2015, 2020, 2024.
  • Years without usable annual counts appear as N/A. Yearly totals may cover different municipalities and program types, so compare years with care. A change from N/A to a positive count is not a confirmed increase.
  • Comparative ranking covers Liliw, Magdalena, and Majayjay only.
AHP-Weighted Comparative Ranking
AHP: Computed

AHP-weighted comparative score based on beneficiary counts

The score is an AHP-weighted comparative score based on beneficiary counts using approved AHP criteria weights. It does not measure poverty severity, program effectiveness, or unmet need.

Rank Municipality Score
1 Majayjay 80.58
2 Magdalena 63.39
3 Liliw 18.16
Approved criteria weights
  • Senior Citizen Pension: raw 0.3737, effective 0.373737
  • PWD Assistance: raw 0.3271, effective 0.327133
  • Solo Parent: raw 0.2991, effective 0.299130
AHP calculation details
Methodology
  1. The overall ranking uses approved AHP criteria weights from pairwise comparisons of 10 respondents. Weights are not recalculated from beneficiary counts.
  2. Approved raw weights: Senior Citizen Pension raw 0.3737, effective 0.373737; PWD Assistance raw 0.3271, effective 0.327133; Solo Parent raw 0.2991, effective 0.29913. Each raw weight is divided by the total (0.9999) so effective weights sum to 1.0.
  3. AICS and other programs may appear in descriptive tables when annual data exist, but they are excluded from the three-criterion AHP score.
  4. Only annual municipality-level records are used (month IS NULL, not soft-deleted). Monthly slices are never added to annual totals.
  5. A stored beneficiary_count of 0, NULL, or a missing annual record is N/A (data not yet entered) and is never treated as zero beneficiaries.
  6. N(i,j) = (X(i,j) - min(X(j))) / (max(X(j)) - min(X(j))) across Liliw, Magdalena, and Majayjay. Score(i) = Σ effectiveWeight(j) × N(i,j), displayed on a 0–100 scale.
  7. If all three valid values for a criterion are equal, each municipality receives a normalized value of 1 for that criterion so no municipality gains an artificial advantage.
  8. Duplicate active annual rows for the same municipality, year, and program are not summed. The row with the highest id is used.
  9. A complete overall ranking requires a valid annual count greater than zero for Senior Citizen Pension, PWD Assistance, and Solo Parent in every municipality. Missing values are not replaced with zero and weights are not renormalized over a subset of criteria.

Key Insights

Finding 1

AHP-weighted comparative ranking for 2023: Majayjay ranks 1 with a score of 80.58 out of 100. This is a comparative score based on beneficiary counts, not a measure of poverty, effectiveness, or unmet need.

Finding 2

Majayjay has the most registered beneficiaries (4,321).

Finding 3

The Senior Citizen Pension program has the highest total beneficiaries (7,362) across municipalities with data for 2023.

Finding 4

No official census population or household data is available for year 2023. Census records are available for: 2015, 2020, 2024.

Finding 5

PWD Assistance in 2023: highest known count is Magdalena (605); lowest known count is Liliw (445).

Finding 6

Senior Citizen Pension in 2023: highest known count is Majayjay (3,525); lowest known count is Liliw (800).

Finding 7

Solo Parent in 2023: highest known count is Majayjay (286); lowest known count is Magdalena (174).

Finding 8

Liliw / 4Ps decreased from 500 in 2022 to 350 in 2023. Validate the records before treating this as a confirmed program change.

Finding 9

Liliw / PWD Assistance increased from 152 in 2022 to 445 in 2023. Validate the records before treating this as a confirmed program change.

Finding 10

Liliw / Senior Citizen Pension increased from 780 in 2022 to 800 in 2023. Validate the records before treating this as a confirmed program change.

Recommendations

Recommendation 1

The known Senior Citizen Pension counts in 2023 differ substantially across municipalities. Review the source records and confirm they are comparable before drawing conclusions.

Recommendation 2

Where year-to-year changes appear between 2022 and 2023, validate the records and check documented program changes before treating the difference as a confirmed increase or decrease in beneficiaries.

Recommendation 3

Majayjay (rank 1, score 80.58): the largest criterion contribution is Senior Citizen Pension. Use this as a comparative profile of recorded beneficiary counts, not as evidence of greater poverty or better program performance.

Recommendation 4

Magdalena (rank 2, score 63.39): the largest criterion contribution is PWD Assistance. Use this as a comparative profile of recorded beneficiary counts, not as evidence of greater poverty or better program performance.

Recommendation 5

Liliw (rank 3, score 18.16): the largest criterion contribution is Solo Parent. Use this as a comparative profile of recorded beneficiary counts, not as evidence of greater poverty or better program performance.