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Statistically Speaking
Land Transport in the Philippines: Retrogressing Towards Motorcycles? ![]()
by Dr. Romulo A. Virola 1
Secretary General, NSCB
Transportation plays a vital role in the development of a country’s economy. We need it to go to work and goods and services will not be able to reach consumers unless they pass through channels of transportation, be it by land, water or air. It contributes to employment generation and it has a crucial role in tourism, since it links people traveling to different destinations. In terms of gross value added (GVA), in 2008, transportation had a share of 3.1 percent of our country’s Gross Domestic Product (GDP)2 bigger than the share of mining and quarrying (1.7%) and only slightly lower than the share of utilities (electricity, gas and water, 3.2%). In 1998, tourism consumption expenditures on passenger transport services expanded to P8.574 billion from P4.103 billion in 19943. This represents 4.8 percent of total tourism consumption expenditures in 1998. In 2006, land transportation employment reached 36,576 and revenue of establishments engaged in land transportation was estimated at P25.152 billion4.
At present, the most widely used mode of transportation in the Philippines is land. It contributes more than five times the combined GVA of water and air transportation with a 2.6 percent share to GDP in 2008. But while countries like China and Vietnam are replacing their bicycles and motorbikes with cars, we in the Philippines are taking the opposite route. Have you ever ridden the habal habal5?
Let us examine the latest available statistics on land transportation.
Metro Manila, the center of Philippine socio-economic and political activities, has been plagued by pollution and heavy traffic due to increasing volume of vehicles and commuters. With the establishment of railway systems such as the Metro Rail Transit (Metrostar/MRT3), Light Rail Transit (LRT1) and the Megatren (LRT2), there is less traffic congestion, reduction in air pollution, and considerable savings in traveling time, thus, greater economic benefits. Table 1 shows some statistics on their operations from January 2004 until July 2009.
The Metrostar (MRT3), a metro line along Epifanio de los Santos Avenue (EDSA) with route between North Avenue in Quezon City and Taft Avenue in Pasay City was opened in December 1999. Ridership was initially far below expectations, but by 2004, Metrostar had the highest among the three lines6. In terms of load factor (LF)7, LRT1 had the highest among the three lines until Metrostar overtook it in 2006. From an LF of 38.08 percent in 2004, Metrostar now has an average LF of 93.0 percent.
The LRT1 (Yellow Line), which first became operational in December 1983, is a railway system with route between Taft Avenue and Rizal Avenue and is considered to be the first LRT system in Southeast Asia8. Its average LF from 2004 to 2009 is at 63.24 percent.
The LRT2 (Megatren or the Purple Line), which started operations in April 20039, has a route between Santolan Pasig and Recto in Manila. Its average LF from 2004 to 2009 is the lowest among the three lines at 31.53 percent.
In terms of revenues, in 2008, LRT1 and Metrostar (MRT3) earned close to P2 billion each, while LRT2 (Megatren) earned P815 million.
Now, let us look at the status of our roads…
In general, our national roads are improving in quality10 from only 23.5 percent concrete roads in 1986 to 45.8 percent in 2008 (Table 2 and Figure 1).
At the regional level (Table 3 and Figure 2), as of November 2008,
Region VIII (Eastern Visayas) had the highest percentage of concrete roads at 66.1 percent;
Region IV-B (MIMAROPA) had the lowest percentage at 34.0 percent
Among the 16 regions being observed by the Department of Public Works and Highways (DPWH), aside from MIMAROPA, there were nine other regions below the national percentage of concrete roads: CAR, CALABARZON, Regions X, XII, VI, V, XI, VII and Caraga.
In terms of length of national roads per 100,000 population (Table 3),
Excluding ARMM, we have 34.0 kms of national roads per 100,000 population, or roughly 34 meters for every 100 Pinoys. Thus, if we make every Pinoy lie down along the stretch of national roads connected to each other, the bodies would spill out of the roads!
Region IV-B (MIMAROPA) had the highest ratio at 77.6 kilometers; followed by National Capital Region (NCR) at 66.8 kilometers;
Cordillera Autonomous Region (CAR) had the lowest ratio at 16.4 kilometers.
Looking at the national bridges as of 31 December 2008 (Tables 4 and 5)…
In a span of more than 20 years from 1986 to 2008, the number of bridges increased from 7,379 to 7,758 or by 5.1 percent. In meters, the total length of our bridges increased from about 230,200 to 327, 700 or by 42.3 percent.
NCR has the longest length of national bridges at 1,919 linear meters per 100,000 population, which is more than five times the national ratio of 376 linear meters per 100,000 population. Thus, we have about two meters of bridge for every 100 Metro Manilans.
CAR has the shortest at 97.2 linear meters per 100,000 population;
In addition to having the best road quality, Region VIII (Eastern Visayas) also has the most number of national bridges (with 11.7 percent share to total number of bridges)
Region IX (Zamboanga Peninsula) has the fewest number of bridges (at 3.0 percent share);
Interms of strength11, NCR has the strongest bridges with 100 percent of its national bridges being permanent;
Caraga has the most number of weak bridges (with only 65.8 percent of its national bridges being permanent) while MIMAROPA has the longest length of weak bridges (with only 83.0 percent of the total length of its bridges being permanent).
And which of the past four administrations, one may ask, invested the most in land transport infrastructure? (Table 6),
Permanent national roads expanded the most, overall, during the Ramos administration by 28.2 percent, but on an annualized basis this happened during the Estrada administration by 6.8%.
Least expansion of permanent national roads overall occurred during the Aquino administration (growth of 17.7%) but on an annualized basis, during the Arroyo administration at 2.6 percent. However, if we only consider the years 2003-200812 for Arroyo administration,least expansion of permanent national roads will be during her administration at 14.9 percent, but on an annualized basis, it will be during Aquino administration at 2.7 percent.
National bridges lengthened the most during the Arroyo administration both overall at 11.1% and on an annualized basis at 2.1 percent.
Lowest expansion occurred during the Estrada administration at 6.1 percent and on an annualized basis during the Ramos administration at 1.1 %.
Now, let us look at some statistics on the users of our roads and bridges - the motor vehicles and their drivers - and their violations.
From 2000 to 2008, motor vehicle (MV) registration increased by 6.0 per cent annually, outpacing the population growth of 2.0 percent. (Tables 7, 8 and 9).
As of 2008, there were 5.9 million vehicles registered, or 7 vehicles for every 100 Pinoys.
However, from 2005 onwards, motorcycles/tricycles overtook the utility vehicles with the gap between them increasing gradually which by 2008 has become 48% vs. 31% in favor of the motorcycles/tricycles. Close to half of the private vehicles roaming our streets are motorcycles or tricycles! Would we consider this progress? Or is this additional proof that indeed, the Pinoy middle class is shrinking?13 Susginoo!
Driver’s Licenses issued in 2008 reached 4.184 million, about 4.8 percent of the population;
Most of the motorcycles/tricycles are registered in NCR, Region IV ( IV-A and IV-B combined), Region III and Region VII.Now for the violations and the violators (Tables 13, 14, 15).
Table 13 shows the five most expensive traffic violations to commit. Common traffic violations are actually “cheaper” to commit.. But don’t even try to operate a right-hand drive motor vehicle unless you are ready to shell out P50,000 once apprehended. If you are not authorized, then do not install or use a bell, siren or exhaust whistle (the same that is being used on an ambulance, fire trucks and police cars) or you will be fined P15,000 and forfeit the illegal gadget. And so on.
The top 9 violations common to all years from 2004 to 2008 increased by 9.8% in 2008.
From 2005 to 2008, the ratio of apprehensions to total number of driver’s licenses issued averaged about 22 per cent.
The most commonly violated requirement is that provided under the Republic Act 8750 (RA 8750) or the Seatbelt Use Act. Twenty-five percent of the most common violations in 2008 is the failure to
install or failure to wear seatbelt. The second most frequent violation is the failure to carry a copy of the Official Receipt or the Certificate of Registration (OR/CR) with a share of 11.2 percent;
Revenues from fines and penalties comprise less than 4 per cent of total LTO revenues and amounted to P400 million in 2008. The bulk of the LTO revenues come from motor vehicle registration, comprising more than 70 per cent.
Committing violations is of course one cause of transportation accidents (Tables 16 and 17).
Would you believe that on the average, only 0.2 percent of the total registered MV suffer damages due to traffic accidents?
But you would probably not be surprised that traffic accidents far outnumber maritime and air accidents, with a share of over 95 percent.
In terms of fatalities, traffic accidents average 2 fatalities for every 10 accidents compared to an average of 6 fatalities for every 10 maritime accidents. But because traffic accidents are more frequent, the total fatalities in traffic accidents is more than seven times that in maritime accidents for the years 1998 to 2007.Ondoy and Pepeng which hit the country the past two weeks, caused damages to roads, bridges and other structures estimated at P2.539 billion and P281.67 million, respectively. Regions most affected by Ondoy were Region III (Central Luzon) with estimated damages to roads and bridges of P1.423 billion, followed by Region IV–A (CALABARZON) with estimated damages of P784 million and Region V (Bicol) with damages of P96 million. Pepeng on the other hand affected regions CAR (with estimated damages to roads and bridges of P179 million, Bicol (with estimated damages of P56 million) and Region I (Ilocos Region with estimated damages of P46 million)14 . With more than two months left before the year ends, we don’t know how many more tropical storms, typhoon or other calamity might hit us. Let us hope and pray that calamities like Ondoy and Pepeng won’t happen again. But we have to learn to prepare for such disasters. All of us!
Meanwhile, let us celebrate the National Statistics Month with the theme “ Enhancing Security Sector Statistics For Good Governance, Peace, and Sustainable Development” or “Pagpapahusay ng Estadistika sa Sektor ng Panseguridad para sa Mabuting Pamamahala, Kapayapaan at Maipagpapatuloy na Pagpapaunlad”.
Reactions and views are welcome thru email to the author at ra.virola@nscb.gov.ph.
________________
1 Secretary General of the National Statistical Coordination Board (NSCB) and Chairman of the Statistical Research and Training Center (SRTC). He holds a Ph. D. in Statistics from the University of Michigan in Ann Arbor, USA and has taught mathematics and statistics at the University of the Philippines. He is also a past president of the Philippine Statistical Association. This article is co-written by Rhea-Ann A. Bautista, Statistical Coordination Officer IV of the Production Accounts Division, Economic Statistics Office, NSCB. The authors thank Mai Lin C. Villaruel, Marymell C. Martillan, Eunice Tambasen, Edwin U. Aragon, Noel S. Nepomuceno, Albert A. Garcia, Jessamyn O. Encarnacion, Candido J. Astrologo, Jr., and Ma. Libertie V. Masculino of the NSCB for the assistance in the preparation of the article. The views expressed in the article are those of the authors and do not necessarily reflect those of the NSCB.
2 National Statistical Coordination Board. 2009. National Accounts of the Philippines. CY 2006 to 2008 (Base Year: 1985). Makati City.
3 Virola, Romulo A, Mariel M. Remulla, Lea H. Amoro and Milagros Y. Say. 2001. Measuring the Contribution of Tourism to the Economy: The Philippine Tourism Satellite Account. Presented on the 8th National Convention on Statistics, Manila, organized by the Philippine Statistical System thru the National Statistical Coordination Board, 1-2 October 2001.
4 National Statistics Office. 2006 Census of Philippine Business and Industry. Transport, Storage and Communications for Establishments with Average Total Employment of 20 and Over. http://www.census.gov.ph/data/sectordata/databusind.html. Date accessed: October 8, 2009.
5 The Habal-Habal is a motorcycle modified to seat more than two persons. It is in use in provinces in the Philippines where jeepneys and tricycles cannot stand the rough, steep terrain and narrow roads, such as the mountains of Mindanao. It is also called the "Skylab". According to some sources, this name is either taken from the space station, or a contraction of the phrase "sakay na, lab (get on, love)!".
(Source: http://en.wikipilipinas.org/index.php?title=Habal-Habal )
6 Metro Rail Transit Corporation. About MRT. http://www.dotcmrt3.gov.ph/about_mrt3. Date accessed: October 9, 2009.
7 Load factor (LF) is the ratio between the actual passenger kilometer and the available passenger kilometer, or the ratio of the distance traveled by all passengers to the total distance traveled when carrying the maximum number of passengers.
8 Light Rail Transport Authority. Railway Operations LRT Line 1 System. http://www.lrta.gov.ph/line1_metrorail.htm. Date accessed: July 28, 2009.
9Light Rail Transport Authority. Railway Operations MRT Line 2 System. http://www.lrta.gov.ph/line2_megatren.htm. Date accessed: July 28, 2009
10 Quality is defined in terms of surface type, with concrete assumed to be the best compared to asphalt, gravel, and earth.
11 Strength is defined in terms of type with permanent ( Concrete or Steel) assumed to be stronger than temporary (Bailey or Timber)
12 In 2003, a new system was adopted (called Road and Bridge Information Application - RBIA) which uses satellite imaging and aims to provide more accurate measurement of roads.
13 Statistically Speaking article on Pinoy Middle Class Before the Crisis!; Source: http://www.nscb.gov.ph/headlines/StatsSpeak/2009/060809_rav_middleclass.asp
14 National Disaster Coordinating Council. Situation Report no. 14 re Typhoon “Pepeng” (PARMA) TC-2009-00214-PHL as of 08 Oct 2009, 6:00PM. www.ndcc.gov.ph. Date accessed: October 8, 2009
Table 1. Number of Passengers, Load Factor and Revenues of Metro Rail Transit, Light Rail Transit and Megatren: 2004 to 2009
| Year | Metro Rail Transit (MRT3/Metrostar) | Light Rail Transit (LRT Line2/Yellow Line) |
Megatren (LRT Line2/Purple Line) |
||||||
| Total Number of Passengers (in million) | Load Factor (%) | Revenues (in million pesos) |
Total Number of Passengers (in million) | Load Factor (%) | Revenues (in million pesos) |
Total Number of Passengers (in million) | Load Factor (%) | Revenues (in million pesos) |
|
| 2004 | 122.6 | 38.1 | 1,499.9 | 96.9 | 61.5 | 1,389.7 | 20.7 | 15.1 | 273.2 |
| January | 10.1 | 36.7 | 123.3 | 8.5 | 66.5 | 123.4 | 0.4 | 5.8 | 4.9 |
| February | 9.8 | 39.0 | 119.6 | 8.0 | 67.4 | 114.6 | 0.4 | 5.4 | 4.7 |
| March | 10.7 | 38.3 | 129.3 | 8.2 | 64.1 | 118.1 | 0.4 | 4.8 | 4.5 |
| April | 8.6 | 36.9 | 104.0 | 6.3 | 54.7 | 91.0 | 0.7 | 9.4 | 9.8 |
| May | 9.7 | 35.8 | 118.7 | 7.4 | 60.9 | 106.6 | 1.2 | 12.2 | 15.4 |
| June | 10.2 | 38.2 | 125.5 | 7.8 | 72.4 | 112.5 | 1.8 | 13.9 | 23.8 |
| July | 11.0 | 39.6 | 133.4 | 8.5 | 66.0 | 121.6 | 2.5 | 18.7 | 33.1 |
| August | 10.6 | 37.9 | 129.8 | 8.4 | 57.0 | 119.6 | 2.5 | 18.7 | 32.7 |
| September | 10.6 | 38.7 | 130.9 | 8.5 | 54.7 | 121.4 | 2.7 | 21.2 | 35.2 |
| October | 10.6 | 37.8 | 131.6 | 8.4 | 54.1 | 119.9 | 2.4 | 19.9 | 31.6 |
| November | 10.3 | 38.9 | 126.6 | 8.3 | 59.0 | 118.3 | 2.8 | 25.2 | 38.2 |
| December | 10.5 | 39.2 | 127.0 | 8.6 | 61.3 | 122.8 | 3.0 | 26.6 | 39.5 |
| 2005 | 127.9 | 38.8 | 1,593.0 | 104.5 | 61.7 | 1,513.9 | 41.9 | 30.9 | 562.7 |
| January | 10.8 | 39.0 | 132.9 | 8.9 | 68.6 | 126.8 | 3.2 | 26.9 | 43.7 |
| February | 9.9 | 40.0 | 120.1 | 8.2 | 59.9 | 116.5 | 3.0 | 27.5 | 40.6 |
| March | 10.1 | 39.0 | 123.7 | 7.8 | 58.5 | 110.8 | 2.8 | 27.3 | 37.4 |
| April | 10.5 | 38.0 | 129.0 | 8.0 | 56.6 | 115.1 | 2.7 | 27.1 | 36.7 |
| May | 10.6 | 38.0 | 131.4 | 8.2 | 56.7 | 117.6 | 2.8 | 26.8 | 38.3 |
| June | 10.6 | 39.0 | 132.2 | 8.5 | 61.0 | 122.2 | 3.4 | 29.9 | 46.3 |
| July | 10.2 | 39.0 | 136.0 | 9.1 | 63.1 | 130.2 | 4.0 | 33.7 | 53.1 |
| August | 11.5 | 39.0 | 140.8 | 9.4 | 62.0 | 135.0 | 4.1 | 33.6 | 55.3 |
| September | 11.3 | 40.0 | 136.5 | 9.3 | 64.2 | 132.3 | 4.2 | 35.8 | 55.6 |
| October | 10.9 | 38.0 | 134.1 | 9.0 | 67.1 | 128.7 | 3.8 | 32.5 | 50.4 |
| November | 10.2 | 37.0 | 135.3 | 8.8 | 59.1 | 138.6 | 3.8 | 34.0 | 51.5 |
| December | 11.3 | 40.0 | 141.0 | 9.3 | 63.4 | 140.2 | 4.0 | 35.6 | 53.9 |
| 2006 | 134.9 | 76.8 | 1,651.6 | 111.1 | 61.5 | 1,594.6 | 47.6 | 30.9 | 642.8 |
| January | 11.9 | 40.0 | 143.0 | 9.8 | 61.8 | 141.6 | 4.2 | 33.6 | 56.0 |
| February | 10.8 | 84.0 | 133.1 | 8.9 | 62.7 | 126.9 | 3.8 | 33.7 | 50.2 |
| March | 11.3 | 75.0 | 144.0 | 9.7 | 62.5 | 138.6 | 4.0 | 33.7 | 53.8 |
| April | 9.9 | 88.0 | 120.9 | 7.6 | 58.0 | 108.5 | 2.8 | 31.3 | 38.3 |
| May | 11.6 | 76.0 | 139.6 | 9.2 | 59.5 | 132.8 | 3.5 | 32.7 | 47.5 |
| June | 11.2 | 87.0 | 141.3 | 9.4 | 60.3 | 135.3 | 3.9 | 28.3 | 53.5 |
| July | 11.2 | 81.0 | 136.9 | 9.4 | 61.2 | 135.4 | 4.1 | 28.9 | 57.8 |
| August | 11.7 | 82.0 | 141.2 | 9.8 | 66.7 | 140.3 | 4.5 | 31.2 | 59.9 |
| September | 10.6 | 82.0 | 128.4 | 9.0 | 62.0 | 128.9 | 4.1 | 31.5 | 55.3 |
| October | 11.5 | 82.0 | 142.1 | 9.3 | 62.8 | 133.6 | 4.0 | 28.0 | 54.5 |
| November | 11.7 | 58.0 | 142.1 | 9.4 | 61.2 | 135.9 | 4.3 | 30.8 | 58.3 |
| December | 11.5 | 86.0 | 139.0 | 9.5 | 59.3 | 136.9 | 4.3 | 27.6 | 57.7 |
| 2007 | 142.8 | 87.7 | 1,724.4 | 119.1 | 66.5 | 1,707.7 | 52.9 | 34.1 | 749.4 |
| January | 11.3 | 85.0 | 144.4 | 10.2 | 74.1 | 148.5 | 4.6 | 40.8 | 62.0 |
| February | 11.3 | 87.0 | 138.3 | 9.4 | 72.3 | 135.4 | 4.3 | 36.7 | 58.5 |
| March | 12.0 | 87.0 | 149.3 | 10.2 | 63.4 | 146.4 | 4.6 | 32.9 | 62.0 |
| April | 10.0 | 85.0 | 119.0 | 7.6 | 57.7 | 110.1 | 3.2 | 26.6 | 44.3 |
| May | 12.0 | 85.0 | 142.0 | 9.4 | 58.2 | 135.8 | 3.9 | 29.3 | 54.4 |
| June | 11.7 | 88.0 | 139.8 | 9.9 | 64.7 | 142.2 | 4.3 | 33.5 | 63.0 |
| July | 12.5 | 90.0 | 149.7 | 10.8 | 66.5 | 154.1 | 5.0 | 38.8 | 71.6 |
| August | 12.4 | 87.0 | 144.0 | 10.1 | 71.2 | 142.9 | 4.5 | 34.0 | 64.0 |
| September | 12.2 | 90.0 | 147.0 | 10.4 | 67.7 | 147.3 | 4.9 | 38.2 | 69.9 |
| October | 13.0 | 90.0 | 150.0 | 10.3 | 66.6 | 146.4 | 4.7 | 32.0 | 64.4 |
| November | 12.0 | 89.0 | 147.0 | 10.2 | 69.3 | 145.4 | 4.5 | 35.1 | 67.1 |
| December | 12.4 | 89.0 | 153.9 | 10.7 | 66.4 | 153.2 | 4.6 | 31.7 | 68.2 |
| 2008 | 149.5 | 91.8 | 1,845.0 | 138.1 | 62.4 | 1,962.4 | 58.6 | 38.8 | 815.6 |
| January | 12.8 | 90.0 | 160.4 | 11.1 | 69.8 | 159.0 | 4.9 | 34.6 | 70.1 |
| February | 12.1 | 91.0 | 150.2 | 10.6 | 71.0 | 150.4 | 4.6 | 36.8 | 66.7 |
| March | 11.2 | 90.0 | 138.3 | 9.7 | 57.1 | 138.3 | 4.2 | 31.7 | 57.4 |
| April | 12.5 | 92.0 | 153.0 | 10.7 | 58.3 | 152.2 | 4.2 | 31.1 | 57.8 |
| May | 12.8 | 92.0 | 158.1 | 11.2 | 59.4 | 160.7 | 4.5 | 39.2 | 60.7 |
| June | 11.9 | 90.0 | 145.7 | 11.0 | 60.8 | 157.8 | 4.6 | 42.4 | 65.7 |
| July | 13.2 | 93.0 | 162.2 | 12.4 | 60.0 | 175.4 | 5.5 | 46.3 | 76.9 |
| August | 12.6 | 93.0 | 155.5 | 11.8 | 59.0 | 167.6 | 5.3 | 42.4 | 74.3 |
| September | 12.8 | 95.0 | 158.2 | 12.6 | 60.6 | 178.1 | 5.6 | 43.9 | 77.3 |
| October | 13.1 | 92.0 | 159.2 | 12.5 | 59.2 | 176.3 | 5.1 | 38.1 | 68.3 |
| November | 12.4 | 91.0 | 155.5 | 12.5 | 67.2 | 177.4 | 5.2 | 41.5 | 72.8 |
| December | 12.1 | 92.0 | 148.7 | 12.0 | 66.6 | 169.3 | 4.9 | 38.1 | 67.5 |
| 2009 | |||||||||
| January | 12.9 | 94.0 | 158.2 | 12.7 | 68.8 | 179.6 | 5.2 | 40.4 | 71.9 |
| February | 12.2 | 96.0 | 150.4 | 11.9 | 68.7 | 168.4 | 5.0 | 42.2 | 67.8 |
| March | 13.1 | 93.0 | 162.1 | 12.8 | 65.6 | 180.3 | 5.2 | 39.7 | 70.2 |
| April | 10.9 | 91.0 | 134.6 | 10.2 | 62.3 | 144.3 | 3.7 | 34.5 | 52.3 |
| May | 12.6 | 93.0 | 156.8 | 11.9 | 64.5 | 169.6 | 4.6 | 34.6 | 62.7 |
| June | 12.4 | 91.0 | 154.5 | 11.7 | 64.7 | 166.7 | 4.8 | 38.5 | 65.6 |
| July | 13.0 | 93.0 | 165.0 | 13.3 | 66.5 | 187.4 | 5.8 | 45.0 | 77.4 |
Note: Load Factor is the ratio between the actual passenger kilometer and the available passenger kilometer.
Source: Department of Transportation and Communication.
Table 2. National Roads: 1986 to 2008
(In kilometers)
| Year | All Types | % Increas (All Types) |
Concrete | % Increase (Concrete) |
Ratio of Concrete to Total Roads (In %) |
| 1986 | 26,230 | 6,162 | 23.5 | ||
| 1987 | 26,082 | (0.6) | 6,180 | 0.3 | 23.7 |
| 1988 | 26,070 | (0.0) | 6,215 | 0.6 | 23.8 |
| 1989 | 26,110 | 0.2 | 6,557 | 5.5 | 25.1 |
| 1990 | 26,272 | 0.6 | 6,731 | 2.7 | 25.6 |
| 1991 | 26,422 | 0.6 | 7,055 | 4.8 | 26.7 |
| 1992 | 26,554 | 0.5 | 7,250 | 2.8 | 27.3 |
| 1993 | 26,594 | 0.1 | 7,270 | 0.3 | 27.3 |
| 1994 | 26,659 | 0.2 | 7,447 | 2.4 | 27.9 |
| 1995 | 26,720 | 0.2 | 7,574 | 1.7 | 28.3 |
| 1996 | 27,369 | 2.4 | 8,349 | 10.2 | 30.5 |
| 1997 | 27,650 | 1.0 | 8,800 | 5.4 | 31.8 |
| 1998 | 27,893 | 0.9 | 9,294 | 5.6 | 33.3 |
| 1999 | 28,523 | 2.3 | 9,741 | 4.8 | 34.2 |
| 2000 | 29,056 | 1.9 | 10,336 | 6.1 | 35.6 |
| 2001 | 29,878 | 2.8 | 11,329 | 9.6 | 37.9 |
| 2002 | 30,030 | 0.5 | 11,911 | 5.1 | 39.7 |
| 2003 | 26,572 | (11.5) | 11,823 | (0.7) | 44.5 |
| 2004 | 27,853 | 4.8 | 12,486 | 5.6 | 44.8 |
| 2005 | 28,664 | 2.9 | 12,764 | 2.2 | 44.5 |
| 2006 | 28,978 | 1.1 | 12,970 | 1.6 | 44.8 |
| 2007 | 29,370 | 1.4 | 13,378 | 3.1 | 45.5 |
| 2008 | 29,650 | 1.0 | 13,584 | 1.5 | 45.8 |
Notes:
1. Total for the years 2003 and 2004 does not include other and unspecified national roads.
2. Excludes data from Autonomous Region of Muslim Mindanao (ARMM)
3. Types of Roads are Earth, Gravel, Asphalt and Concrete.
Source: Department of Public Works and Highways.
Figure 1. Ratio of concrete to total roads (in %)

Table 3. Length of National Road by Surface Type:
As of 30 November 2008
(In kilometers)
| Region | Concrete | Asphalt | Gravel | Earth | Total | Ratio of Concrete to Total Length of Roads | Ratio of Length of National Roads in km per 100,000 population* |
| Phils. | 13,584.4 | 8,092.1 | 7,893.8 | 80.0 | 29,650.4 | 45.8 | 34.1 |
| CAR | 639.0 | 98.6 | 1,108.9 | 4.2 | 1,850.7 | 34.5 | 16.4 |
| NCR | 560.6 | 526.0 | 0.1 | - | 1,086.6 | 51.6 | 66.8 |
| I | 883.7 | 571.2 | 134.0 | 20.6 | 1,609.6 | 54.9 | 32.4 |
| II | 945.5 | 314.2 | 510.9 | 3.3 | 1,773.9 | 53.3 | 54.6 |
| III | 1,018.4 | 837.4 | 219.1 | - | 2,074.9 | 49.1 | 21.2 |
| IV-A | 891.0 | 1,186.3 | 302.8 | - | 2,380.2 | 37.4 | 20.9 |
| IV-B | 755.5 | 315.1 | 1,150.5 | 3.9 | 2,225.0 | 34.0 | 77.6 |
| V | 982.0 | 666.9 | 588.2 | 4.6 | 2,241.8 | 43.8 | 40.8 |
| VI | 1,250.8 | 948.9 | 676.7 | 3.6 | 2,880.0 | 43.4 | 39.5 |
| VII | 926.6 | 859.8 | 231.4 | 16.2 | 2,034.1 | 45.6 | 30.1 |
| VIII | 1,568.7 | 384.3 | 402.6 | 17.1 | 2,372.6 | 66.1 | 55.5 |
| IX | 561.8 | 297.6 | 357.9 | 1.5 | 1,218.8 | 46.1 | 36.4 |
| X | 736.6 | 442.0 | 537.2 | - | 1,715.8 | 42.9 | 41.1 |
| XI | 650.1 | 292.1 | 500.4 | 4.9 | 1,447.5 | 44.9 | 34.3 |
| XII | 594.7 | 252.0 | 536.6 | 0.1 | 1,383.4 | 43.0 | 35.4 |
| XIII | 619.3 | 99.8 | 636.5 | - | 1,355.5 | 45.7 | 55.2 |
* Based on the 2008 Regional Population Projection, National Statistics Office
Note: Excludes data from ARMM.
Source: Department of Public Works and Highways.
Table 4. Number and Length of National Bridges in the Philippines: 1986 to 2008
(Length in linear meters)
| Year | Number of Bridges | Length of Bridges | % increase in length |
| 1986 | 7,379 | 230,226.4 | |
| 1987 | 7,211 | 225,640.7 | (2.0) |
| 1988 | 6,928 | 235,519.7 | 4.4 |
| 1989 | 6,928 | 235,519.7 | 0.0 |
| 1990 | 7,201 | 235,519.7 | 0.0 |
| 1991 | 6,936 | 244,499.9 | 3.8 |
| 1992 | 7,031 | 250,191.2 | 2.3 |
| 1993 | 7,046 | 248,766.0 | (0.6) |
| 1994 | 7,112 | 255,261.1 | 2.6 |
| 1995 | 7,133 | 256,738.0 | 0.6 |
| 1996 | 7,347 | 261,015.0 | 1.7 |
| 1997 | 7,380 | 261,989.0 | 0.4 |
| 1998 | 7,400 | 266,833.0 | 1.8 |
| 1999 | 7,523 | 273,285.0 | 2.4 |
| 2000 | 7,306 | 271,293.0 | (0.7) |
| 2001 | … | 283,000.0 | 4.3 |
| 2002 | … | 294,130.0 | 3.9 |
| 2003 | 7,165 | 277,586.0 | (5.6) |
| 2004 | 7,324 | 282,960.1 | 1.9 |
| 2005 | 7,560 | 296,101.8 | 4.6 |
| 2006 | 7,517 | 301,365.3 | 1.8 |
| 2007 | 7,743 | 314,452.8 | 4.3 |
| 2008 | 7,758 | 327,720.6 | 4.2 |
| % increase (1986 to 2008) | 5.1 | 42.3 |
Note: Excludes data from ARMM
Source: Department of Public Works and Highways.
Table 5. Length of National Bridges by Type: As of 30 December 2008
(In linear meters)
| Major Food Items | Permanent | Temporary | Grand Total | Ratio of Number of Permanent to Total Number of National Bridges | Ratio of Length of Permanent to Total Length of National Bridges | Regional Share of Number of Bridges | Ratio of Length of National Bridges in LM per 100,000 population* | |||||||
| Concrete | Steel | Total | Bailey | Timber | Total | Number of Permanent | Number of Temporary | Total Number of Bridges | Length | |||||
| Phils. | 268,969 | 43,340 | 312,309 | 13,173 | 2,239 | 15,412 | 6,946 | 812 | 7,758 | 327,721 | 89.5 | 95.3 | 100.0 | 376.4 |
| CAR | 6,188 | 2,978 | 9,166 | 1,756 | 17 | 1,773 | 221 | 85 | 306 | 10,938 | 72.2 | 83.8 | 3.9 | 97.2 |
| NCR | 30,599 | 597 | 31,196 | - | - | - | 330 | - | 330 | 31,196 | 100.0 | 100.0 | 4.3 | 1,919.0 |
| I | 22,653 | 7,093 | 29,746 | 327 | - | 327 | 499 | 19 | 518 | 30,073 | 96.3 | 98.9 | 6.7 | 604.6 |
| II | 18,956 | 4,911 | 23,867 | 303 | 55 | 358 | 410 | 25 | 435 | 24,226 | 94.3 | 98.5 | 5.6 | 745.4 |
| III | 25,426 | 3,935 | 29,361 | 21 | 102 | 123 | 618 | 8 | 626 | 29,484 | 98.7 | 99.6 | 8.1 | 301.8 |
| IV-A | 15,067 | 958 | 16,025 | 529 | 14 | 543 | 584 | 36 | 620 | 16,568 | 94.2 | 96.7 | 8.0 | 145.3 |
| IV-B | 15,733 | 1,642 | 17,374 | 3,066 | 491 | 3,558 | 467 | 147 | 614 | 20,932 | 76.1 | 83.0 | 7.9 | 730.4 |
| V | 19,972 | 1,389 | 21,361 | 730 | - | 730 | 552 | 50 | 602 | 22,091 | 91.7 | 96.7 | 7.8 | 401.9 |
| VI | 23,052 | 3,979 | 27,031 | 1,801 | 79 | 1,880 | 646 | 67 | 713 | 28,911 | 90.6 | 93.5 | 9.2 | 396.6 |
| VII | 13,819 | 2,073 | 15,892 | 517 | 47 | 564 | 470 | 34 | 504 | 16,457 | 93.3 | 96.6 | 6.5 | 243.7 |
| VIII | 25,646 | 5,474 | 31,120 | 1,151 | 759 | 1,910 | 775 | 135 | 910 | 33,030 | 85.2 | 94.2 | 11.7 | 773.0 |
| IX | 8,712 | 1,338 | 10,050 | 51 | 20 | 71 | 232 | 5 | 237 | 10,121 | 97.9 | 99.3 | 3.1 | 302.0 |
| X | 11,647 | 2,548 | 14,194 | 299 | 6 | 305 | 346 | 14 | 360 | 14,499 | 96.1 | 97.9 | 4.6 | 347.4 |
| XI | 10,837 | 966 | 11,803 | 402 | - | 402 | 238 | 14 | 252 | 12,205 | 94.4 | 96.7 | 3.2 | 289.0 |
| XII | 9,454 | 971 | 10,424 | 419 | - | 419 | 264 | 20 | 284 | 10,843 | 93.0 | 96.1 | 3.7 | 277.8 |
| XIII | 11,210 | 2,488 | 13,698 | 1,800 | 649 | 2,448 | 294 | 153 | 447 | 16,146 | 65.8 | 84.8 | 5.8 | 658.0 |
* Based on the 2008 Regional Population Projection, National Statistics Office
Source: Department of Public Works and Highways
Table 6. National Roads and Bridges1, by Administration
| President | Term | National Roads (All Types) |
National Roads (Permanent) | National Bridges (All types) |
| Aquino | 1986-1992 | |||
| 1986 | 26,230 | 6,162 | 230,226 | |
| 1992 | 26,554 | 7,250 | 250,191 | |
| % increase, 1986 - 1992 |
1.2 | 17.7 | 8.7 | |
| Annualized, 1986-1992 |
0.2 | 2.7 | 1.4 | |
| Ramos | 1992-1998 | |||
| 1992 | 26,554 | 7,250 | 250,191 | |
| 1998 | 27,893 | 9,294 | 266,833 | |
| % increase, 1992 - 1998 |
5.0 | 28.2 | 6.7 | |
| Annualized, 1992 - 1998 |
0.8 | 4.2 | 1.1 | |
| Estrada | 1998-2001 | |||
| 1998 | 27,893 | 9,294 | 266,833 | |
| 2001 | 29,878 | 11,329 | 283,000 | |
| % increase, 1998 - 2001 |
7.1 | 21.9 | 6.1 | |
| Annualized, 1998 - 2001 |
2.3 | 6.8 | 2.0 | |
| Arroyo | 2001-20082 | |||
| 2001 | 29,878 | 11,329 | 283,000 | |
| 20033 | 26,572 | 11,823 | 277,586 | |
| 2008 | 29,650 | 13,584 | 327,721 | |
| % increase, 2001 - 2008 |
-0.8 | 19.9 | 15.8 | |
| % increase, 2003-2008 |
11.6 | 14.9 | 18.1 | |
| Annualized, 2001 - 2008 |
-0.1 | 2.6 | 2.1 | |
| Annualized, 2003-2008 |
2.2 | 2.8 | 3.4 |
Notes:
1. Annual Data are on Table 2 (for National Roads) and Table 4 (for National Bridges).
2. Available data is until 2008 only
3. In 2003, a new system was adopted (called Road and Bridge Information Application -RBIA) which uses satellite imaging and aims to provide more accurate measurement of roads.
Table 7. Number of Motor Vehicles Registered: 2000 to 2008
| Year | Total Motor Vehicles | Private | For Hire | Government | Diplomatic | Exempt | % Increase in Motor Vehicle Registration |
| 2000 | 3,701,173 | 2,835,801 | 794,499 | 66,468 | 3,391 | 1,014 | |
| 2001 | 3,865,862 | 3,010,974 | 794,306 | 56,695 | 2,698 | 1,189 | 4.45 |
| 2002 | 4,187,673 | 3,274,316 | 851,145 | 58,142 | 2,904 | 1,166 | 8.32 |
| 2003 | 4,292,272 | 3,389,022 | 830,842 | 68,437 | 2,816 | 1,155 | 2.50 |
| 2004 | 4,760,593 | 3,795,950 | 885,007 | 74,356 | 4,197 | 1,083 | 10.91 |
| 2005 | 5,059,753 | 4,079,186 | 898,028 | 77,953 | 3,284 | 1,302 | 6.28 |
| 2006 | 5,331,574 | 4,362,586 | 886,978 | 75,803 | 2,227 | 3,980 | 5.37 |
| 2007 | 5,530,052 | 4,558,727 | 887,023 | 70,528 | 2,406 | 11,368 | 3.72 |
| 2008 | 5,891,272 | 4,908,332 | 899,211 | 73,307 | 4,884 | 5,538 | 6.53 |
| Annualized Growth, 2000-2008 | 6.0 | 7.1 | 1.6 | 1.2 | 4.7 | 23.6 |
Source: Land Transportation Office
Table 8. Number of Registered Government-Owned Vehicles: 2000 to 2008
| Year | Total Motor Vehicles | Government-Owned Vehicles | Newly-Owned Government Vehicle | Ratio of Government-owned Vehicles to Total (In %) |
Ratio of Newly-Owned to Total Government Vehicles (In %) |
| 2000 | 3,701,173 | 66,468 | 6,623 | 1.8 | 10.0 |
| 2001 | 3,865,862 | 56,695 | 4,426 | 1.5 | 7.8 |
| 2002 | 4,187,673 | 58,142 | 3,749 | 1.4 | 6.4 |
| 2003 | 4,292,272 | 68,437 | 7,325 | 1.6 | 10.7 |
| 2004 | 4,760,593 | 74,356 | 6,820 | 1.6 | 9.2 |
| 2005 | 5,059,753 | 77,953 | 8,368 | 1.5 | 10.7 |
| 2006 | 5,331,574 | 75,803 | 6,200 | 1.4 | 8.2 |
| 2007 | 5,530,052 | 70,528 | 4,657 | 1.3 | 6.6 |
| 2008 | 5,891,272 | 73,307 | 6,553 | 1.2 | 8.9 |
Source: Land Transportation Office
Table 9. Number of Registered Private Vehicles, by Type: 2000 to 2008
| Year | Total Motor Vehicles | Cars | Utility Vehicles (UVs) | Buses | Trucks | Motorcycles/ Tricycles | Trailers | % Share of UVs to total Private Vehicles | % Share of Motorcycles/ Tricycles to total Private Vehicles |
| 2000 | 3,701,173 | 688,402 | 1,171,953 | 3,686 | 222,893 | 725,330 | 23,537 | 41.3 | 25.6 |
| 2001 | 3,865,862 | 681,050 | 1,271,420 | 3,711 | 229,664 | 804,081 | 21,048 | 42.2 | 26.7 |
| 2002 | 4,187,673 | 694,557 | 1,406,202 | 3,525 | 232,965 | 916,332 | 20,735 | 42.9 | 28.0 |
| 2003 | 4,292,272 | 688,419 | 1,435,919 | 4,114 | 231,597 | 1,008,610 | 20,363 | 42.4 | 29.8 |
| 2004 | 4,760,593 | 731,450 | 1,522,513 | 6,143 | 241,923 | 1,273,530 | 20,391 | 40.1 | 33.5 |
| 2005 | 5,059,753 | 729,299 | 1,530,560 | 4,355 | 241,624 | 1,552,748 | 20,600 | 37.5 | 38.1 |
| 2006 | 5,331,574 | 739,702 | 1,535,613 | 4,653 | 258,756 | 1,802,582 | 21,280 | 35.2 | 41.3 |
| 2007 | 5,530,052 | 700,384 | 1,534,634 | 6,696 | 255,522 | 2,039,850 | 21,641 | 33.7 | 44.7 |
| 2008 | 5,891,272 | 713,175 | 1,535,003 | 6,184 | 269,367 | 2,360,304 | 24,299 | 31.3 | 48.1 |
Note: Included here are the motorcycles used in habal-habal operations.
Source: Land Transportation Office
Table 10. Number of Driver's Licenses/Permits Issued, by Sex and
Number of Motor Vehicles Registered by Type, by Region: 2008
| Region | Driver's Licenses/Permits Issued | Total Motor Vehicles Registered | Ratio of Registered Vehicles per 100,000 population | Cars | UV/SUV | Trucks | Buses | Motorcycles/ Tricycles |
Trailers | |||
| Number | Male | Female | Sex Ratio (Male/ Female) |
|||||||||
| Phils. | 4,184,499 | 3,513,810 | 670,689 | 5.2 | 5,891,272 | 6,767 | 761,919 | 1,793,659 | 296,276 | 29,745 | 2,982,511 | 27,162 |
| NCR | 1,270,213 | 1,008,882 | 261,331 | 3.9 | 1,670,150 | 14,842 | 423,759 | 638,229 | 61,336 | 9,521 | 525,082 | 12,223 |
| CAR | 54,083 | 46,660 | 7,423 | 6.3 | 68,119 | 4,190 | 9,012 | 35,896 | 5,282 | 355 | 17,522 | 52 |
| I | 219,220 | 193,442 | 25,778 | 7.5 | 328,037 | 6,595 | 22,804 | 76,606 | 12,281 | 1,981 | 213,704 | 661 |
| II | 123,621 | 111,923 | 11,698 | 9.6 | 210,623 | 6,481 | 8,998 | 51,348 | 14,708 | 1,058 | 131,917 | 2,594 |
| III | 539,909 | 448,537 | 91,372 | 4.9 | 804,016 | 8,229 | 74,887 | 250,710 | 48,056 | 3,002 | 423,950 | 3,411 |
| IV | 604,546 | 511,226 | 93,320 | 5.5 | 863,292 | 6,050 | 92,424 | 262,367 | 26,020 | 4,461 | 476,873 | 1,147 |
| IV-A | 542,827 | 457,078 | 85,749 | 5.3 | 778,128 | 6,824 | N O B R E A K D O W N | |||||
| IV-B | 61,719 | 54,148 | 7,571 | 7.2 | 85,164 | 2,972 | ||||||
| V | 134,040 | 115,667 | 18,373 | 6.3 | 185,093 | 3,367 | 8,845 | 35,262 | 8,150 | 1,534 | 131,037 | 265 |
| VI | 211,553 | 185,928 | 25,625 | 7.3 | 310,266 | 4,256 | 25,495 | 87,317 | 27,658 | 1,721 | 167,371 | 704 |
| VII | 308,224 | 255,658 | 52,566 | 4.9 | 478,097 | 7,079 | 46,046 | 135,245 | 30,726 | 2,140 | 261,072 | 2,868 |
| VIII | 81,745 | 69,390 | 12,355 | 5.6 | 124,010 | 2,902 | 4,222 | 28,503 | 8,814 | 893 | 81,381 | 197 |
| IX | 101,094 | 89,931 | 11,163 | 8.1 | 174,920 | 5,219 | 4,420 | 34,098 | 6,675 | 808 | 128,721 | 198 |
| X | 143,584 | 125,479 | 18,105 | 6.9 | 170,892 | 4,094 | 11,674 | 47,593 | 12,472 | 780 | 97,720 | 653 |
| XI | 176,279 | 153,845 | 22,434 | 6.9 | 234,379 | 5,550 | 18,497 | 54,433 | 15,476 | 633 | 144,014 | 1,326 |
| XII | 149,832 | 136,708 | 13,124 | 10.4 | 207,426 | 5,313 | 8,894 | 43,917 | 15,655 | 618 | 137,521 | 821 |
| XIII | 66,556 | 60,534 | 6,022 | 10.1 | 61,952 | 2,525 | 1,942 | 12,135 | 2,967 | 240 | 44,626 | 42 |
Notes:
1. Licenses/Permits issued in NCR are total of Central Office and NCR Office;
2. Licenses/Permits issued in Region VI-Kalibo D.O. excludes June and July 2008;
3. Population excludes ARMM.
Source: Land Transportation Office.
Table 11. Ratios Derived from Table 10: 2008
| Region | Regional Share of Driver's Licence/Permit Issued (in %) |
Regional Share of Driver's Licence/Permit Issued to Females (in %) |
Ratio of Registered Vehicles per License/Permits Issued | Ratio of Driver's Licenses/Permits per 100,000 population | Ratio of Registered Vehicles per Km Length of National Road | Regional Share of Registered Motor Vehicles (In%) |
Regional Share of Registered Cars (In%) |
Regional Share of Registered UV/SUV (In%) | Regional Share of Registered Trucks (In%) |
Regional Share of Registered Buses (In%) |
Regional Share of Registered Motorcycles/ Tricycles (In%) |
Regional Share of Registered Trailers (In%) |
| Phils. | 100.0 | 16.0 | 1.4 | 4,806 | 199 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
| NCR | 28.7 | 20.6 | 1.3 | 11,288 | 902 | 28.3 | 55.6 | 35.6 | 20.7 | 32.0 | 17.6 | 45.0 |
| CAR | 1.3 | 13.7 | 1.3 | 3,327 | 63 | 1.2 | 1.2 | 2.0 | 1.8 | 1.2 | 0.6 | 0.2 |
| I | 5.5 | 11.8 | 1.5 | 4,407 | 204 | 5.6 | 3.0 | 4.3 | 4.1 | 6.7 | 7.2 | 2.4 |
| II | 3.2 | 9.5 | 1.7 | 3,804 | 119 | 3.6 | 1.2 | 2.9 | 5.0 | 3.6 | 4.4 | 9.6 |
| III | 12.8 | 16.9 | 1.5 | 5,526 | 388 | 13.6 | 9.8 | 14.0 | 16.2 | 10.1 | 14.2 | 12.6 |
| IV | 14.7 | 12.1 | 14.6 | 8.8 | 15.0 | 16.0 | 4.2 | |||||
| IV-A | 13.0 | 15.8 | 1.4 | 4,760 | 350 | N O B R E A K D O W N | ||||||
| IV-B | 1.5 | 12.3 | 1.4 | 2,154 | 38 | |||||||
| V | 3.3 | 13.7 | 1.4 | 2,438 | 83 | 3.1 | 1.2 | 2.0 | 2.8 | 5.2 | 4.4 | 1.0 |
| VI | 5.3 | 12.1 | 1.5 | 2,902 | 108 | 5.3 | 3.3 | 4.9 | 9.3 | 5.8 | 5.6 | 2.6 |
| VII | 7.3 | 17.1 | 1.6 | 4,563 | 235 | 8.1 | 6.0 | 7.5 | 10.4 | 7.2 | 8.8 | 10.6 |
| VIII | 2.0 | 15.1 | 1.5 | 1,913 | 52 | 2.1 | 0.6 | 1.6 | 3.0 | 3.0 | 2.7 | 0.7 |
| IX | 2.6 | 11.0 | 1.7 | 3,017 | 144 | 3.0 | 0.6 | 1.9 | 2.3 | 2.7 | 4.3 | 0.7 |
| X | 3.6 | 12.6 | 1.2 | 3,440 | 100 | 2.9 | 1.5 | 2.7 | 4.2 | 2.6 | 3.3 | 2.4 |
| XI | 4.4 | 12.7 | 1.3 | 4,174 | 162 | 4.0 | 2.4 | 3.0 | 5.2 | 2.1 | 4.8 | 4.9 |
| XII | 3.9 | 8.8 | 1.4 | 3,838 | 150 | 3.5 | 1.2 | 2.4 | 5.3 | 2.1 | 4.6 | 3.0 |
| XIII | 1.7 | 9.0 | 0.9 | 1,960 | 46 | 1.1 | 0.3 | 0.7 | 1.0 | 0.8 | 1.5 | 0.2 |
Table 12. LTO Revenue Collection by Region: 2004 to 2008
| Region | 2004 | 2005 | 2006 | 2007 | 2008 | %Increase '05/'04 |
%Increase '06/'05 |
%Increase '07/'06 |
%Increase '08/'07 |
| Phils. | 8,866,804,709.33 | 9,618,606,335.45 | 10,087,161,922.96 | 10,438,575,746.96 | 11,048,015,053.92 | 8.5 | 4.9 | 3.5 | 5.8 |
| NCR | 3,306,833,472.04 | 3,628,557,791.22 | 3,734,132,616.61 | 3,823,015,288.11 | 4,052,156,650.49 | 9.7 | 2.9 | 2.4 | 6.0 |
| C.A.R. | 127,891,780.85 | 132,425,917.92 | 140,744,745.97 | 143,913,826.27 | 150,982,126.89 | 3.5 | 6.3 | 2.3 | 4.9 |
| I | 382,981,298.82 | 414,607,696.00 | 429,172,322.28 | 455,873,358.48 | 475,970,005.73 | 8.3 | 3.5 | 6.2 | 4.4 |
| II | 261,811,771.68 | 275,702,404.95 | 291,089,755.46 | 308,862,576.92 | 341,376,285.95 | 5.3 | 5.6 | 6.1 | 10.5 |
| III | 1,135,398,980.89 | 1,213,683,697.13 | 1,278,013,008.37 | 1,332,485,444.07 | 1,396,307,461.21 | 6.9 | 5.3 | 4.3 | 4.8 |
| IV-A | 1,060,796,880.42 | 1,148,348,416.42 | 1,203,350,049.47 | 1,257,639,421.76 | 1,341,562,410.29 | 8.3 | 4.8 | 4.5 | 6.7 |
| IV-B | 88,240,072.00 | 94,702,664.27 | 96,177,984.86 | 99,115,556.67 | 110,994,696.29 | 7.3 | 1.6 | 3.1 | 12.0 |
| V | 209,775,502.63 | 226,314,961.93 | 228,235,075.20 | 236,183,998.63 | 257,065,007.98 | 7.9 | 0.8 | 3.5 | 8.8 |
| VI | 488,507,221.16 | 521,469,114.52 | 559,391,318.65 | 575,073,119.35 | 585,666,729.78 | 6.7 | 7.3 | 2.8 | 1.8 |
| VII | 704,837,133.95 | 730,199,228.54 | 781,959,889.41 | 814,532,865.02 | 827,987,757.01 | 3.6 | 7.1 | 4.2 | 1.7 |
| VIII | 157,911,961.47 | 167,198,254.85 | 174,250,942.38 | 185,883,913.80 | 191,893,745.43 | 5.9 | 4.2 | 6.7 | 3.2 |
| IX | 159,899,491.40 | 178,023,500.85 | 171,640,943.57 | 181,513,979.75 | 204,560,063.25 | 11.3 | (3.6) | 5.8 | 12.7 |
| X | 225,800,937.92 | 247,026,330.75 | 274,034,853.21 | 282,022,334.11 | 305,769,377.13 | 9.4 | 10.9 | 2.9 | 8.4 |
| XI | 299,175,924.59 | 326,818,173.82 | 365,266,612.76 | 385,822,974.59 | 415,489,045.43 | 9.2 | 11.8 | 5.6 | 7.7 |
| XII | 185,612,469.11 | 236,391,097.97 | 279,289,855.73 | 274,875,678.05 | 301,877,975.66 | 27.4 | 18.1 | (1.6) | 9.8 |
| XIII | 71,329,810.40 | 77,137,084.31 | 80,411,949.03 | 81,761,411.38 | 88,355,715.40 | 8.1 | 4.2 | 1.7 | 8.1 |
Notes:
1. NCR figures are total of NCR Office and Central Office;
2. With estimated figures for Regions V for the month of Nov. & Dec. 2006;
3.
Excluding the reports of the ff: R.O. & E-Patrol (Reg. VII-Dec. 2007); and Patin-ay D.O. (CARAGA-Dec. 2007);
4.
Excluding Iloilo D. O. (June-July 2008), Iloilo Licensing Center (June to Dec 2008) and Kalibo D.O. (June to July 2008);
5. Total revenue comes from Motor Vehicle User's Charge (MVUC), Fines and Penalties (Law Enforcement), Licenses and Others.
Source: Land Transportation Office
Table 13. Most Frequently Committed Traffic Violations with Corresponding Fines/Penalties: 2004 to 2008
| VIOLATION | 2004 | 2005 | 2006 | 2007 | 2008 | Fines/Penalties for Traffic and Administrative Violations | Remarks |
| RA 8750 Seatbelt Use Act | 14,137 | 139,618 | 154,984 | 135,497 | 141,372 | 1,000 | Failure to Install Seatbelt; 250 for failure to wear seatbelt |
| Sec 13 No CR/OR on Hand | 38,497 | 47,805 | 55,471 | 53,782 | 63,508 | 150 | |
| Sec. 11 Unregistered/ Invalid MV Registration | 24,504 | 30,505 | 42,665 | 53,863 | 62,044 | 2,000-4,000 | 2,000 if committed by the driver w/o the knowledge and consent of the owner; 4,000 if the driver is also the processor of the subject MV |
| Sec. 54 Prohibited Parking | 37,371 | 40,217 | 45,655 | 48,437 | 58,830 | 200 | |
| Sec. 68Z Obstruction | 59,149 | 61,468 | 47,468 | 48,296 | 49,535 | 200 | |
| Sec. 09 Student Driver Operating an MV w/o Accompanying Licensed Driver | 13,145 | 19,398 | 28,232 | 38,401 | 46,235 | 500 | |
| Sec. 01 Driving w/o D_License | 15,334 | 19,946 | 26,485 | 33,673 | 37,557 | 1,500 | |
| Sec. 02 Driving w/ Delinquent / Invalid Suspended, Ineffectual or Revoked License | 16,119 | 20,374 | 29,241 | 33,969 | 36,518 | 400-1,000 | 400 if expired; 1,000 if license is suspended or revoked or improper |
| Sec. 57 Driving in Slippers/ Sleeveless Shirt (For-Hire) | 16,688 | 26,520 | 32,020 | 34,626 | 32,088 | 1,000-5,000 | counted as reckless driving |
| TOP 9 VIOLATIONS* | 234,944 | 405,851 | 462,221 | 480,544 | 527,687 | ||
| % INCREASE IN TOP 9 VIOLATIONS | 72.7 | 13.9 | 4.0 | 9.8 | |||
| TOTAL APPREHENDED DRIVERS | 617,111 | 719,563 | 892,319 | 899,701 | 930,088 | ||
| % INCREASE IN APPREHENSIONS | 16.6 | 24.0 | 0.8 | 3.4 | |||
| TOTAL LICENSES/PERMITS ISSUED | 3,284,170 | 3,548,041 | 3,711,856 | 3,972,645 | 4,184,499 | ||
| % INCREASE IN LICENSES/PERMITS | 8.0 | 4.6 | 7.0 | 5.3 | |||
| RATIO OF APPREHENDED DRIVERS TO TOTAL LICENSES ISSUED | 18.8% | 20.3% | 24.0% | 22.6% | 22.2% |
Source: Land Transportation Office
Notes:
1. Excluding the reports of Tagbilaran D.O. & Dumaguete D.O. (Reg. VII-Dec. 2008)
2. With estimated figures for Region V for the months of Nov. & Dec. 2006
3. Excludes data of LTO-C.O.-LES for the period Jan.-Sept. 2005
4. Top 9 Violations includeRA 8750, No OR/CR on Hand, Unregistered/Invalid MV Registration, Prohibited Parking, Obstruction, Student Driver Operating an MV w/o Accompanying Licensed Driver, Driving w/ Delinquent/ Invalid/ Suspended, Ineffectual or Revoked License and Driving in Slippers (for For-Hire).
Table 14. Top 5 Most Expensive Traffic and Administrative Violations to Commit
| VIOLATION | Amount (PhP) | Remarks | ||||
| 1. Operating a right-hand drive motor vehicle | 50,000 | |||||
| 2. Unauthorized use of bell, siren or exhaust whistle | 15,000 | with forfeiture of the said gadgets in favor of the government | ||||
| 3. Driving Under the Influence of Drugs | 10,000 | |||||
| 4. Illegal transfer or use of MV regularly issued MV plates, tags or stickers except security plates on authorized MV | 10,000 | 1. owners/operators are conclusively presumed to have committed the illegal transfer; 2. drivers of MV involved in illegal transfer of plates, sticker shall suffer the suspension of their driver's license for 3 months; |
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| 3. if the MV is used in the commissions of a crime, its owner shall suffer the penalty of 12,000 fine and suspension of plates and registration certificate and Official Receipt for 2 years |
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| 5. Tourist operating or allowing the use of non-Philippine registered MV beyond the 90-day period of his sojourn in the country | 5,000 | 1. the MV shall not be allowed to operate by the confiscation of its plates, OR & CR until properly registered; 2. in addition, if the driver is a holder of local driver's license, the same shall be suspended for one month |
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Source: Land Transportation Office
Table 15. LTO Revenue Collection by Source: 2004 to 2008
| Source | 2004 | 2005 | 2006 | 2007 | 2008 | inc 05/04 | inc 06/05 | inc 07/06 | inc 08/07 |
| Fines and Penalties (Law Enforcement) | 231,503,005.55 | 283,451,728.27 | 383,594,462.84 | 356,506,460.78 | 399,807,393.79 | 22.4 | 35.3 | (7.1) | 12.1 |
| License Fee | 536,252,766.65 | 570,769,411.95 | 596,826,662.63 | 620,180,644.37 | 692,816,186.50 | 6.4 | 4.6 | 3.9 | 11.7 |
| Motor Vehicle Users Charge | 6,649,035,538.56 | 7,217,253,124.26 | 7,493,998,775.21 | 7,737,627,762.49 | 7,956,988,412.50 | 8.5 | 3.8 | 3.3 | 2.8 |
| Others | 1,450,013,398.57 | 1,547,132,070.97 | 1,612,742,022.28 | 1,724,260,879.32 | 1,998,403,061.13 | 6.7 | 4.2 | 6.9 | 15.9 |
| TOTAL REVENUE COLLECTION | 8,866,804,709.33 | 9,618,606,335.45 | 10,087,161,922.96 | 10,438,575,746.96 | 11,048,015,053.92 | 8.5 | 4.9 | 3.5 | 5.8 |
| ratio of fines and penalties to total revenue collection | 2.6 | 2.9 | 3.8 | 3.4 | 3.6 | ||||
| ratio of license fee to total revenue collection | 6.0 | 5.9 | 5.9 | 5.9 | 6.3 | ||||
| ratio of MVUC to total revenue collection | 75.0 | 75.0 | 74.3 | 74.1 | 72.0 | ||||
| ratio of others to total revenue collection | 16.4 | 16.1 | 16.0 | 16.5 | 18.1 |
Note: Others include trust liabilities, science tax, miscellaneous income, capital revenue and other penalties on MV, licenses and science tax.
Source: Land Transportation Office
Table 16. COMPARATIVE STATISTICS ON TRAFFIC ACCIDENTS: 1998 to 2007
| Year | Number of Accident | Damage to Property (number of vehicles) |
ratio of damaged vehicles to total number of MV registered | ||
| Fatal | Non-fatal | Total | |||
| 1998 | 940 | 1,863 | 2,803 | 6,537 | 0.2 |
| 1999 | 719 | 2,150 | 2,869 | 7,726 | 0.2 |
| 2000 | 704 | 1,719 | 2,423 | 11,386 | 0.3 |
| 2001 | 627 | 1,399 | 2,026 | 6,696 | 0.2 |
| 2002 | 714 | 3,034 | 3,748 | 9,623 | 0.2 |
| 2003 | 800 | 4,177 | 4,977 | 11,441 | 0.3 |
| 2004 | 1,054 | 3,860 | 4,914 | 9,288 | 0.2 |
| 2005 | 578 | 3,779 | 4,357 | 7,068 | 0.1 |
| 2006 | 674 | 3,767 | 4,441 | 10,623 | 0.2 |
| 2007 | 718 | 3,569 | 4,287 | 7,267 | 0.1 |
| Average | 0.2 | ||||
Note: Fatal accidents are those that caused death
Source: Department of Transportation and Communication.
Table 17. COMPARATIVE STATISTICS ON TRANSPORTATION ACCIDENTS:
1998 to 2007
| Year | Number of Accident | Number of Fatalities | ratio of fatalities to accidents | ||||
| TRAFFIC | MARITIME | AIR | TRAFFIC | MARITIME | TRAFFIC | MARITIME | |
| 2000 | 2,423 | 151 | 162 | 704 | 177 | 0.3 | 1.2 |
| 2001 | 2,026 | 168 | 8 | 627 | 59 | 0.3 | 0.4 |
| 2002 | 3,748 | 152 | 21 | 714 | 73 | 0.2 | 0.5 |
| 2003 | 4,977 | 255 | 20 | 800 | 74 | 0.2 | 0.3 |
| 2004 | 4,914 | 227 | 23 | 1,054 | 144 | 0.2 | 0.6 |
| 2005 | 4,357 | 122 | 17 | 578 | 25 | 0.1 | 0.2 |
| 2006 | 4,441 | 114 | 15 | 674 | 62 | 0.2 | 0.5 |
| Total | 26,886 | 1,189 | 266 | 5,151 | 614 | 0.2 | 0.5 |
| share of accidents to total | 94.9% | 4.2% | 0.9% | ||||
Source: Department of Transportation and Communication.
Notes:
1. No data available on the number of Accidents in Air from 1998 to 1999 and 2007
2. No available data on fatalities on Air accidents
3. Don Juan Tragedy happened in 1980 with 18 dead and 115 missing
4. The worst marine mishap happened in 1987 when MV Doña Paz collided with MT Vector leaving 1800++ casualties
Posted 12 October 2009