Most frequent exact amounts
Across all categories. Rounded figures recur often in budget proposals and are not suspicious by themselves.
A first-pass screen of 11,372 project entries. It surfaces repeated amounts and unusually large allocations for document review; it cannot determine whether projects have comparable size, design, or scope.
This page screens recurring FY2027 NEP line items against the enacted FY2026 and FY2025 GAA. See the separate HGAB page for post-NEP insertion candidates.
Explore allocation patterns by program and implementing office.
Historical and within-stage project repeat comparisons →
Equal amounts and statistical associations are screening leads, not findings of wrongdoing.
1,002 NEP lines have no selected or plausible HGAB counterpart, carrying ₱64.417B in NEP allocations. The reverse title screen holds out another 252 lines with compatible counterparts scoring at least 83%. These are candidates for line-item removal, pending scope verification. A lower allocation on a retained project is not a removal. Renaming and segmentation may conceal a counterpart; absence from this matching result does not certify deletion.
| Status | NEP project | NEP allocation | Implementing office | NEP source |
|---|
These selected NEP/HGAB counterparts remain in both stages with different allocations. Positive changes are increases; negative changes are decreases. Nonexact title counterparts remain provisional. These lines are excluded from the insertion and removal shortlists.
| Match basis | NEP project | HGAB project | NEP allocation | HGAB allocation | Adjustment | Office / sources |
|---|
Project counts by region for the selected fiscal year. This is not adjusted for population or need.
RCS rainfall patterns and the rainfall-weighted unit scenario now have a separate page, using 1981–2025 province rainfall and local province boundaries.
Kept separate from program-category totals. This compares individual NEP entries while excluding records whose category or title mentions roads or bridges.
The listed INSPIRE site is in Laoag, at the northern end of Luzon. If the facility is meant to serve users from across the country, test whether that location is accessible to its intended users. Batangas is a possible comparison site: the Philippine Ports Authority describes Batangas Port as providing access to the Visayas region. Compare travel time, expected users, transport links, land and operating costs before concluding which site would serve the purpose better. PPA on Batangas Port access.
| Rank | District Engineering Office | Region | Program category | Project | Representative(s) for project location | Allocation |
|---|
District rankings for multi-purpose buildings, access roads and bridges, and flood control. INSPIRE is shown separately above as an individual project; adjacent water supply categories remain in the name-shift watchlist.
How to read the pattern: compare office totals and project counts, then verify project titles and scope.
| Year | Rank | District Engineering Office | Region | Projects | Allocation | Share of program | Most common amount | Count at common amount | Largest project | Representative(s) for largest project location |
|---|
District offices with one or more project entries budgeted at exactly ₱5,000,000 in the access roads/bridges category or flood mitigation categories. Counts are entries, not distinct projects verified against source documents.
Methods: hypergeometric overlap test and region-stratified randomization test. The hypergeometric test treats the 199 district offices as equally likely to receive each program’s ₱5M entry, fixes the observed counts (96 road/bridge offices and 45 flood offices), and calculates how often random independent placement would produce 35 or more shared offices. The region-stratified test is a second check: it keeps the observed road/bridge offices fixed and repeatedly reassigns the 45 flood-office flags among offices in the same region, preserving each region’s flood count. Its p-value is the share of 100,000 reshuffles with overlap at least as large as observed. Small p-values mean this degree of overlap is rare under these chance models. They do not prove deliberate allocation or a “consolation” motive. The analysis is exploratory because ₱5M and these programs were selected after noticing the pattern; the models also do not adjust for project need, workload, or project mix.
| Year | District Engineering Office | Region | Road/bridge entries | Flood entries | Combined listed amount | Representative(s), if province has one seat |
|---|
Includes projects under the shared PAP2 water-sector umbrella plus district project titles containing rainwater, water collector, catchment, cistern, water supply, water system, or water storage terms outside that umbrella. Keyword matches are review candidates, not confirmed reclassifications.
| Year | Match basis | District Engineering Office | Subcategory | Project title | Representative(s) for project location | Allocation |
|---|
Ranked by the selected measure in the selected year. In this single-year dataset, allocation and share have the same order because each share uses the same annual total. The concentration figures do not adjust for district population, project needs, scope, or cost.
| Year | Current sort rank | District Engineering Office | Region | Projects | Total allocation* | Share of district total | Largest project | Largest project share | Representative(s) for largest project location |
|---|
Groups require at least three offices within the same category. RCS has its own rainfall and unit-allocation page; other category labels can still cover different project sizes.
| Year | Program / category | Source amount | Entries | Offices |
|---|
The current score compares each amount with the median for its broad category. A high score can reflect a genuinely larger project, not an inflated unit cost. Use this list to locate records that need scope checks.
| Project | Program / category | Office | Amount* | Category median* | Robust score |
|---|
Across all categories. Rounded figures recur often in budget proposals and are not suspicious by themselves.
| Statistic | Result |
|---|---|
| Offices with both exact ₱5M road and flood entries | 35 |
| Expected overlap under independent office assignment | 21.71 |
| One-sided hypergeometric p-value (recomputed) | 5.067e-06 |
| Odds ratio; approximate 95% interval | 5.34; 2.46–11.56 |
| Region-controlled permutation p-value (existing analysis) | 0.000319997 |
Null model: fix how many of the 199 offices have each type of ₱5M entry, then assign flood-office membership independently of road-office membership. The exact test rejects this simple independence model. The existing region-controlled test preserves regional membership counts.
The ₱5M threshold and project categories were selected after observing patterns. P-values and the Wald interval are exploratory, unadjusted for that selection or multiple comparisons. Office workload, project mix and common standard designs can explain co-occurrence. Next test: a pre-specified model controlling project count, work type, region and prior-year price distributions; request engineering quantities to assess price plausibility.
Project repeat comparisons and source evidence →
The printed FAP schedule contains 29 lines, ₱44,749,011,000. All are excluded from the domestic additions shortlist. This excludes 4 unmatched FAP lines carrying ₱806,910,000; it does not establish that those projects are absent from NEP. Loan identity, counterpart funding and project scope need separate verification.
Excluded from the domestic insertion shortlist. These records have no selected or plausible NEP counterpart under the current matching rules; this does not confirm a new foreign assisted project or loan. The closest titles below are review hints, not established matches. No zero NEP baseline or allocation increase is assumed.
| # | Unpaired FAP project | HGAB allocation | Closest NEP title · not matched | Title similarity | HGAB source |
|---|---|---|---|---|---|
| 1 | Priority Bridges Crossing Pasig-Marikina and Manggahan Floodway Bridges Construction Project, under China Government Financing Facility | ₱326,075,000 | Cebu-Mactan Bridge (4th Bridge) and Coastal Road Construction Project, JICA Loan No. PH-P274 | 43.24% | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 941 HB10858-3-0941-016266 |
| 2 | Metro Manila Bridges Project, ADB 4168-PHI | ₱310,763,000 | Metro Manila Priority Bridges Seismic Improvement Project (MMPBSIP ), JICA Loan No. PH-P272 | 53.54% | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 941 HB10858-3-0941-016268 |
| 3 | Road Network Development Project in Conflict-Affected Areas in Mindanao (RNDP- CAAM), JICA PH-F-P1 | ₱115,254,000 | Accelerated Water and Sanitation Project in Selected Areas (AWSPSA ), World Bank- Assisted | 43.58% | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 941 HB10858-3-0941-016262 |
| 4 | Samal Island - Davao City Connector (SIDC) Project, China GCL no. 202200600763 | ₱54,818,000 | Davao City Bypass Construction Project (II ) (South and Center Sections ), Package 1, JICA Loan No. PH-P273 | 45.88% | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 941 HB10858-3-0941-016267 |
25 selected counterparts are compared below. Unpaired lines have no assumed zero NEP baseline. Fuzzy counterparts remain provisional. PDF page numbers use the parser’s physical-page convention.
| Foreign assisted project | NEP match | NEP allocation | HGAB allocation | Change | Source |
|---|---|---|---|---|---|
| Bataan-Cavite Interlink Bridge (BCIB) Project, ADB Loan No. 4432-PHI and AIIB Loan No. L0724A | Exact normalized title found in NEP | ₱22,494,406,000 | ₱8,494,406,000 | ₱-14,000,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Laguna Lakeshore Road Network (LLRN) Project - Phase I, KEDCF Loan No. PHL-27, ADB Loan No. 4523-PHI and AIIB Loan No. L0725A | Exact normalized title found in NEP | ₱35,209,919,000 | ₱8,209,919,000 | ₱-27,000,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Davao City Bypass Construction Project (III) (South and Center Sections), Package I, JICA Loan No. PH-P282 | Exact normalized title found in NEP | ₱7,420,440,000 | ₱3,920,440,000 | ₱-3,500,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Cavite Industrial Area Flood Risk Management Project (CIA-FRIMP), JICA Loan Nos. PH- P265 and PH-P284 | Exact normalized title found in NEP | ₱6,566,805,000 | ₱3,066,805,000 | ₱-3,500,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 942 |
| Pasig - Marikina River Channel Improvement Project (PMRCIP), Phase IV, JICA Loan Nos. PH-P271 and PH-P283 | Exact normalized title found in NEP | ₱8,539,933,000 | ₱3,039,933,000 | ₱-5,500,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 942 |
| Cebu-Mactan Bridge (4th Bridge) and Coastal Road Construction Project, JICA Loan No. PH-P274 | Exact normalized title found in NEP | ₱8,570,911,000 | ₱2,570,911,000 | ₱-6,000,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Davao City Bypass Construction Project (II) (South and Center Sections), Package 1, JICA Loan No. PH-P273 | Plausible NEP title counterpart; review scope | ₱4,393,942,000 | ₱2,393,942,000 | ₱-2,000,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Mindanao Transport Connectivity Improvement Project, IBRD Loan No. 9775-PH | Exact normalized title found in NEP | ₱5,211,754,000 | ₱1,711,754,000 | ₱-3,500,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 939 |
| Integrated Flood Resilience and Adaptation 1 (InFRA 1) Project, ADB Loan No. 4345- PHI | Plausible NEP title counterpart; review scope | ₱3,081,329,000 | ₱1,581,329,000 | ₱-1,500,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 942 |
| Improving Growth Corridors in Mindanao Road Sector Project (IGCMRSP), ADB Loan No. 3631-PHI | Exact normalized title found in NEP | ₱2,112,530,000 | ₱1,362,530,000 | ₱-750,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 941 |
| Reconstruction and Development Plan for Greater Marawi, Stage 2, (Bangon Marawi Output 2), ADB Loan No. 3769-PHI | Exact normalized title found in NEP | ₱2,870,547,000 | ₱1,120,547,000 | ₱-1,750,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 939 |
| Accelerated Bridge Construction Project for Greater Economic Mobility and Calamity Response, France-Assisted | Exact normalized title found in NEP | ₱1,764,891,000 | ₱957,981,000 | ₱-806,910,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 941 |
| Infrastructure Preparation and Innovation Facility (IPIF), 2nd Additional Financing, Output 2; Water Projects, ADB Loan No. 4424 - PHI | Plausible NEP title counterpart; review scope | ₱1,148,904,000 | ₱898,904,000 | ₱-250,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 942 |
| Metro Manila Priority Bridges Seismic Improvement Project (MMPBSIP), JICA Loan No. PH-P260 | Plausible NEP title counterpart; review scope | ₱2,864,678,000 | ₱864,678,000 | ₱-2,000,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 941 |
| Metro Manila Priority Bridges Seismic Improvement Project (MMPBSIP), JICA Loan No. PH-P272 | Exact normalized title found in NEP | ₱792,964,000 | ₱792,964,000 | ₱0 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 941 |
| Samar Pacific Coastal Road II Project (Laoang II Bridge and Calomotan Bridge), KEDCF Loan No. PHL-26 | Exact normalized title found in NEP | ₱1,460,372,000 | ₱710,372,000 | ₱-750,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 941 |
| Infrastructure Preparation and Innovation Facility (IPIF), 2nd Additional Financing, Output 1: Roads and Bridges, ADB 4424-PHI | Plausible NEP title counterpart; review scope | ₱1,057,967,000 | ₱557,967,000 | ₱-500,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Dalton Pass East Alignment Road Project, JICA Loan No. PH-P280 | Plausible NEP title counterpart; review scope | ₱1,054,475,000 | ₱554,475,000 | ₱-500,000,000 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Philippines-Korea Project Preparation Facility (PK-PPF), KEDCF PHL-20, Roads and Bridges Facility | Plausible NEP title counterpart; review scope | ₱283,528,000 | ₱283,528,000 | ₱0 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Infrastructure Preparation and Innovation Facility (IPIF), Additional Financing, Output 2: Water Projects, ADB 3886-PHI | Plausible NEP title counterpart; review scope | ₱193,636,000 | ₱193,636,000 | ₱0 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 942 |
| Philippines Seismic Risk Reduction and Resilience Project (PSRRRP), IBRD Loan No. 9251-PH | Exact normalized title found in NEP | ₱182,970,000 | ₱182,970,000 | ₱0 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 942 |
| Panglao-Tagbilaran City Offshore Bridge Connector (PTCOBC) Project, France-Assisted | Plausible NEP title counterpart; review scope | ₱166,191,000 | ₱166,191,000 | ₱0 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Davao City Bypass Construction Project (South and Center Sections), Package I, JICA Loan No. PH-P261 | Plausible NEP title counterpart; review scope | ₱145,817,000 | ₱145,817,000 | ₱0 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Central Mindanao High Standard Highway, Cagayan de Oro-Malaybalay Section, JICA PH-P287 | Exact normalized title found in NEP | ₱87,222,000 | ₱87,222,000 | ₱0 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 940 |
| Accelerated Water and Sanitation Project in Selected Areas (AWSPSA), World Bank- Assisted | Exact normalized title found in NEP | ₱72,880,000 | ₱72,880,000 | ₱0 | 3- HB 10858 FOR 3RD READING VOL I-C .pdf · PDF p. 942 |
0 NEP lines have no selected or plausible HGAB counterpart, carrying ₱0.000B in NEP allocations. The reverse title screen holds out another 0 lines with compatible counterparts scoring at least 83%. These are candidates for line-item removal, pending scope verification. A lower allocation on a retained project is not a removal. Renaming and segmentation may conceal a counterpart; absence from this matching result does not certify deletion.
| Status | NEP project | NEP allocation | Implementing office | NEP source |
|---|
Project repeat comparisons and source evidence →
These explanations describe the NEP baseline screens on the DPWH patterns page. They are distinct from the HGAB insertion and removal comparison above.
1,002 NEP lines have no selected or plausible HGAB counterpart, carrying ₱64.417B in NEP allocations. The reverse title screen holds out another 252 lines with compatible counterparts scoring at least 83%. These are candidates for line-item removal, pending scope verification. A lower allocation on a retained project is not a removal. Renaming and segmentation may conceal a counterpart; absence from this matching result does not certify deletion.
These selected NEP/HGAB counterparts remain in both stages with different allocations. Positive changes are increases; negative changes are decreases. Nonexact title counterparts remain provisional. These lines are excluded from the insertion and removal shortlists.
Project counts by region for the selected fiscal year. This is not adjusted for population or need.
RCS rainfall patterns and the rainfall-weighted unit scenario now have a separate page, using 1981–2025 province rainfall and local province boundaries.
Open the RCS rainfall and allocation analysis →
Kept separate from program-category totals. This compares individual NEP entries while excluding records whose category or title mentions roads or bridges.
The listed INSPIRE site is in Laoag, at the northern end of Luzon. If the facility is meant to serve users from across the country, test whether that location is accessible to its intended users. Batangas is a possible comparison site: the Philippine Ports Authority describes Batangas Port as providing access to the Visayas region. Compare travel time, expected users, transport links, land and operating costs before concluding which site would serve the purpose better. PPA on Batangas Port access.
District rankings for multi-purpose buildings, access roads and bridges, and flood control. INSPIRE is shown separately above as an individual project; adjacent water supply categories remain in the name-shift watchlist.
How to read the pattern: compare office totals and project counts, then verify project titles and scope.
District offices with one or more project entries budgeted at exactly ₱5,000,000 in the access roads/bridges category or flood mitigation categories. Counts are entries, not distinct projects verified against source documents.
Methods: hypergeometric overlap test and region-stratified randomization test. The hypergeometric test treats the 199 district offices as equally likely to receive each program’s ₱5M entry, fixes the observed counts (96 road/bridge offices and 45 flood offices), and calculates how often random independent placement would produce 35 or more shared offices. The region-stratified test is a second check: it keeps the observed road/bridge offices fixed and repeatedly reassigns the 45 flood-office flags among offices in the same region, preserving each region’s flood count. Its p-value is the share of 100,000 reshuffles with overlap at least as large as observed. Small p-values mean this degree of overlap is rare under these chance models. They do not prove deliberate allocation or a “consolation” motive. The analysis is exploratory because ₱5M and these programs were selected after noticing the pattern; the models also do not adjust for project need, workload, or project mix.
Includes projects under the shared PAP2 water-sector umbrella plus district project titles containing rainwater, water collector, catchment, cistern, water supply, water system, or water storage terms outside that umbrella. Keyword matches are review candidates, not confirmed reclassifications.
Ranked by the selected measure in the selected year. In this single-year dataset, allocation and share have the same order because each share uses the same annual total. The concentration figures do not adjust for district population, project needs, scope, or cost.
Groups require at least three offices within the same category. RCS has its own rainfall and unit-allocation page; other category labels can still cover different project sizes.
The current score compares each amount with the median for its broad category. A high score can reflect a genuinely larger project, not an inflated unit cost. Use this list to locate records that need scope checks.
Across all categories. Rounded figures recur often in budget proposals and are not suspicious by themselves.
Null model: fix how many of the 199 offices have each type of ₱5M entry, then assign flood-office membership independently of road-office membership. The exact test rejects this simple independence model. The existing region-controlled test preserves regional membership counts.
The ₱5M threshold and project categories were selected after observing patterns. P-values and the Wald interval are exploratory, unadjusted for that selection or multiple comparisons. Office workload, project mix and common standard designs can explain co-occurrence. Next test: a pre-specified model controlling project count, work type, region and prior-year price distributions; request engineering quantities to assess price plausibility.
The printed FAP schedule contains 29 lines, ₱44,749,011,000. All are excluded from the domestic additions shortlist. This excludes 4 unmatched FAP lines carrying ₱806,910,000; it does not establish that those projects are absent from NEP. Loan identity, counterpart funding and project scope need separate verification.
Excluded from the domestic insertion shortlist. These records have no selected or plausible NEP counterpart under the current matching rules; this does not confirm a new foreign assisted project or loan. The closest titles below are review hints, not established matches. No zero NEP baseline or allocation increase is assumed.
25 selected counterparts are compared below. Unpaired lines have no assumed zero NEP baseline. Fuzzy counterparts remain provisional. PDF page numbers use the parser’s physical-page convention.
0 NEP lines have no selected or plausible HGAB counterpart, carrying ₱0.000B in NEP allocations. The reverse title screen holds out another 0 lines with compatible counterparts scoring at least 83%. These are candidates for line-item removal, pending scope verification. A lower allocation on a retained project is not a removal. Renaming and segmentation may conceal a counterpart; absence from this matching result does not certify deletion.