Philippines Population: Region III : Central Luzon data was reported at 11,218.177 Person th in 2015. This records an increase from the previous number of 10,137.737 Person th for 2010. Philippines Population: Region III : Central Luzon data is updated yearly, averaging 7,648.467 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 11,218.177 Person th in 2015 and a record low of 3,911.863 Person th in 1975. Philippines Population: Region III : Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.

Philippines Population Density: Region III: Central Luzon data was reported at 512.000 Person/sq km in 2015. This records an increase from the previous number of 463.000 Person/sq km for 2010. Philippines Population Density: Region III: Central Luzon data is updated yearly, averaging 348.579 Person/sq km from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 512.000 Person/sq km in 2015 and a record low of 223.000 Person/sq km in 1980. Philippines Population Density: Region III: Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G005: Population Density.

Philippines Population: 15 Years & Over: Region III: Central Luzon data was reported at 7,990.000 Person th in Oct 2018. This records an increase from the previous number of 7,904.000 Person th for Jul 2018. Philippines Population: 15 Years & Over: Region III: Central Luzon data is updated quarterly, averaging 6,853.000 Person th from Jul 2004 (Median) to Oct 2018, with 58 observations. The data reached an all-time high of 7,990.000 Person th in Oct 2018 and a record low of 5,584.000 Person th in Jul 2004. Philippines Population: 15 Years & Over: Region III: Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G007: Labour Force Survey: Population: Age 15 and Above.

Philippines Population: Projection: Census 2015: Central Luzon data was reported at 13,243.212 Person th in 2025. This records an increase from the previous number of 13,072.614 Person th for 2024. Philippines Population: Projection: Census 2015: Central Luzon data is updated yearly, averaging 12,414.972 Person th from Jul 2016 (Median) to 2025, with 10 observations. The data reached an all-time high of 13,243.212 Person th in 2025 and a record low of 11,436.478 Person th in 2016. Philippines Population: Projection: Census 2015: Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G002: Population: Census 2015: Projection.

In 2024, one public health nurse was serving ***** people in the Philippines. Across regions, Central Luzon registered the highest nurse-to-population ratio at *****. In contrast, there were ***** patients for every nurse in the MIMAROPA region.

Phylogeographic studies of Philippine birds support that deep genetic structure occurs across continuous lowland forests within islands, despite the lack of obvious contemporary isolation mechanisms. To examine the pattern and tempo of diversification within Philippine island forests, and test if common mechanisms are responsible for observed differentiation, we focused on three co-distributed lowland bird taxa endemic to Greater Luzon and Greater Negros-Panay: Blue-headed Fantail (Rhipidura cyaniceps), White-browed Shama (Copsychus luzoniensis), and Lemon-throated Leaf-Warbler (Phylloscopus cebuensis). Each species has two described subspecies within Greater Luzon, and a single described subspecies on Greater Negros/Panay. Each of the three focal species showed a common geographic pattern of two monophyletic groups in Greater Luzon sister to a third monophyletic group found in Greater Negros-Panay, suggesting that common or similar biogeographic processes may have produced similar distributions. However, studied species displayed variable levels of mitochondrial DNA differentiation between clades, and genetic differentiation within Luzon was not necessarily concordant with described subspecies boundaries. Population genetic parameters for the three species suggested both rapid population growth from small numbers and geographic expansion across Luzon Island. Estimates of the timing of population expansion further supported that these events occurred asynchronously throughout the Pleistocene in the focal species, demanding particular explanations for differentiation, and support that co-distribution may be secondarily congruent.

Philippines Population: Forecast: 2010 Census: Female:Central Luzon data was reported at 7,163.800 Person th in 2045. This records an increase from the previous number of 7,026.600 Person th for 2040. Philippines Population: Forecast: 2010 Census: Female:Central Luzon data is updated yearly, averaging 6,406.000 Person th from Dec 2010 (Median) to 2045, with 8 observations. The data reached an all-time high of 7,163.800 Person th in 2045 and a record low of 5,074.600 Person th in 2010. Philippines Population: Forecast: 2010 Census: Female:Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Forecast: 2010 Census.

This data collection contains information for the following ten major topic areas. PART 1. Survey (Pegasus) File. 182 variables for 1,550 respondents in 1969. Variables cover attitudes toward Philippine government, social, economic, and political conditions, attitudes toward and knowledge of dissidents and exposure to crime and violence. Sample was stratified by language and restricted to those between the ages of 21 and 65. PART 2. General Province Data. This file contains the data used in the factor analyses reported in Chapter II of The Matrix of Policy in the Philippines. Because the data are drawn from so many different sources, the descriptions contain notes on origins. 110 variables for 49 provinces on general socioeconomic, political, cultural, and agricultural variables for various years, 1918-1968 are included. PART 3. Province Election Data. This file contains 157 variables for 49 provinces on voting in elections since 1948 and corresponding population characteristics. Data on elections are from the relevant Commission on Elections (COMELEC) reports, population and agricultural data are from the censuses, income and labor force data are from the Philippine Statistical Survey of Households, municipal expenditures are taken from reports of the Auditor General. PART 4. City Voting Data. This file contains data on voting in 36 Philippine chartered cities. The data sources are the same as those for the Province Election file with the addition of estimates of population by mother tongue calculated from the 0.5 percent sample of the 1960 Census. There are 153 variables on election returns since 1953, some socioeconomic data for 1960 and government revenue, aid, and appropriations for 1961-68. PART 5. Municipio Data. This file contains data used in analysis of Huk control in 57 municipios. The data on 84 variables are drawn from Philippine Constabulary intelligence reports, COMELEC election results, and census data. PART 6. Barrio Data. This file contains data for 24 variables on 302 barrios in central Luzon, including all of the barrios reported by the Philippine Constabulary (PC) as controlled and a random sample of the rest. The data are drawn from PC intelligence reports, censuses, and maps. PART 7. City Socioeconomic Data. This file contains 37 variables relating to 1967-1968 for 51 Philippine chartered cities on socioeconomic indicators and crime statistics. PART 8. Province Crime Data. This file contains 55 variables on crime rates and socioeconomic data for 48 provinces. Manila is omitted. Data are for 1962-67. PART 9. Province Economic Data. This file contains data taken from the economic censuses of 1948 and 1961. In most cases detail is given for provinces, where disclosure considerations prevented such detail, regions are the geographical unit. There are some 37 variables measuring attributes of various industries. PART 10. Province Manufacturing Data. This file contains data by province (49) from various rounds of the survey of manufacturers. In this case, the sample universe is large establishments as defined for survey purposes. There are 11 variables measuring aspects of major businesses in 1956, 1958-60, and 1962.

Philippines Population: Forecast: 2010 Census: Male: Central Luzon data was reported at 7,326.700 Person th in 2045. This records an increase from the previous number of 7,177.300 Person th for 2040. Philippines Population: Forecast: 2010 Census: Male: Central Luzon data is updated yearly, averaging 6,531.150 Person th from Dec 2010 (Median) to 2045, with 8 observations. The data reached an all-time high of 7,326.700 Person th in 2045 and a record low of 5,163.700 Person th in 2010. Philippines Population: Forecast: 2010 Census: Male: Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Forecast: 2010 Census.

5.50 (Deaths per 1,000 Population) in 2010.

Based on the 2020 census, the BARMM region registered the highest share of households who reported Islam as their religious affiliation, at 90.9 percent. This was followed by Region 9 or Zamboanga Peninsula with a share of 18.2 percent.

21.3 (Births per 1,000 Population) in 2010.

Dog Population, Ownership Characteristics, Estimated Dog Population, and Estimated Dog Vaccine Coverage of Surveyed Households in Bulacan.

a) to determine the extent of the utilization of rice by-products and biomass and their importance as a source of livelihood; b) to identify farmers'problems, in the effective utilization of rice by-products; c) to identify engineering technologies for optimum utilization of biomass and increase the economic value of rice by-products.

Philippines Magnitude of Poor Population: Central Luzon data was reported at 1,242,071.000 Person in 2015. This records a decrease from the previous number of 1,340,361.000 Person for 2012. Philippines Magnitude of Poor Population: Central Luzon data is updated yearly, averaging 1,360,830.500 Person from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 2,046,167.000 Person in 1994 and a record low of 1,084,339.000 Person in 2003. Philippines Magnitude of Poor Population: Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H025: Family Income and Expenditure Survey: Poverty Statistics and Proportion of Poor Population: By Regions.

Summary of Dog: Human ratios From Studies Conducted in the Philippines.

Philippines Population: Projection: Census 2015: Male: Central Luzon data was reported at 6,693.849 Person th in 2025. This records an increase from the previous number of 6,607.552 Person th for 2024. Philippines Population: Projection: Census 2015: Male: Central Luzon data is updated yearly, averaging 6,274.852 Person th from Jul 2016 (Median) to 2025, with 10 observations. The data reached an all-time high of 6,693.849 Person th in 2025 and a record low of 5,779.822 Person th in 2016. Philippines Population: Projection: Census 2015: Male: Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G002: Population: Census 2015: Projection.

Abstract

The 2008 Annual Poverty Indicators Survey (APIS) is conducted by the National Statistics Office (NSO) as a rider to the July 2008 Labor Force Survey (LFS). The 2008 APIS is the sixth in the series of annual poverty indicators surveys conducted nationwide. Since 1998, APIS has been conducted during the years when the Family Income and Expenditures Survey (FIES) is not conducted, except in 2001 and 2005 due to budgetary constraints.

The APIS is a nationwide survey designed to provide non-income indicators related to poverty at the national and regional levels. It is designed to gather data on the socio-economic profile of families and other information that are related to their living conditions. Specifically, it generates indicators which are correlated with poverty, such as indicators regarding the ownership or possession of house and lot, the types of the materials of the roofs and walls of their housing units, their access to safe water, the types of toilet facility they use in their homes, and presence of family members of specified characteristics such as children 6-12 years old enrolled in elementary, children 13-16 years old enrolled in high school, members 18 years old and over gainfully employed, working children 5-17 years old and family members with membership in any health, life and/or pre-need insurance system.

The APIS is being undertaken by the National Statistics Office as mandataed by Commonwealth Act 591 which authorizes the then Bureau of the Census and Statistics, now NSO, "to conduct by enumeration, sampling or other methods, for statistical purposes, studies of the social and economic situation of the country" and in consonance with the provision of Executive Order 121 which designated the office as the "major statistical agency responsible for generating general purpose statistics.

Geographic coverage

National Coverage Seventeen (17) Administrative Regions: National Capital Region (NCR) Cordillera Administrative Region (CAR) I - Ilocos II - Cagayan Valley III - Central Luzon IVA - CALABARZON IVB - MIMAROPA V - Bicol VI - Western Visayas VII - Central Visayas VIII - Eastern Visayas IX - Zamboanga Peninsula X - Northern Mindanao XI - Davao XII - SOCCSKSARGEN XIII - Caraga Autonomous Region in Muslim Mindanao (ARMM)

Analysis unit

Households

Universe

The survey covered all households.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2008 APIS is a sample survey designed to provide data representative of the country and its 17 administrative regions. The survey's sample design helps ensure this representativeness. The 2008 APIS used the 2003 master sample created for household surveys on the basis of the 2000 Census of Population and Housing (CPH) results. The survey used four replicates of the master sample. For each region (domain) and stratum, a three-stage sampling scheme was used: the selection of primary sampling units (PSUs) for the first stage, of sample enumeration areas (EAs) for the second stage, and of sample housing units for the third stage. PSUs within a region were stratified based on the proportion of households living in housing units made of strong materials, proportion of households in the barangay engaged in agricultural activities and per capita income of the city/municipality.

As earlier mentioned, a three-stage sampling design was used in each stratum within a region. In the first stage, primary sampling units (PSUs) were selected with probability proportional to the number of households in the 2000 Census. PSUs consisted of a barangay or a group of contiguous barangays. In the second stage, in each sampled PSU, EAs were selected with probability proportional to the number of households in the 2000 Census. An EA is defined as an area with discernable boundaries consisting of approximately 350 contiguous households. In the third stage, from each sampled EA, housing units were selected using systematic sampling. For operational considerations, at most 30 housing units were selected per sample EA. All households in sample housing units were interviewed except for sample housing units with more than three households. In such a housing unit, three households were randomly selected with equal probability.

The 2008 APIS was conducted simultaneously with the July 2008 Labor Force Survey (LFS). All sample households of the July 2008 LFS were interviewed for the 2008 APIS. Only household members related to the household head by blood, marriage or adoption were considered as members of the sample household in APIS. Family members of the household head who are working abroad were excluded.

Sampling deviation

NA

Mode of data collection

Face-to-face [f2f]

Research instrument

Although questions on 'Changes in Welfare' were dropped and some items were modified for the 2008 APIS, most of the questions/items in the previous APISs were retained as requested by data users. Nine items were added in order to generate data that will be more useful in assessing the poverty situation in the country. The new questionnaire for the 2008 contains the abridged version of the module on entrepreneurial activities resulting to the reduction of the number of pages from 24 to 12. The decision to use the abridged version was based on the results of the study entitled “Redesigning APIS as a Poverty Monitoring Tool” undertaken by the Demographic and Social Statistics Division in 2006. The redesigned questionnaire produced results which are not statistically different from results based on the original design in 2004. The use of the redesigned questionnaire is also cost-efficient.

A round table discussion was held for the 2008 APIS before the conduct of the pretest. The redesigned APIS questionnaire based from the project's output was presented. It was agreed upon during this meeting to adopt the redesigned APIS for this round of APIS, with the addition of item on 'Hunger'.

Cleaning operations

Flow of Processing Activity

In order to implement a systematic flow of the processing activities and reduce the movement of questionnaires from one employee to another, the same processor performed the following specific activities for the same folio. 1. General screening; 2. Editing and coding of APIS questionnaires and computations of totals ; and 3. General review of edited APIS questionnaire.

Folioing

To facilitate handling during manual and machine processing, APIS questionnaires were folioed in the Provincial Office before the start of manual processing.

The APIS questionnaires for one sample barangay/EA contained in the folio was arranged consecutively according to the sample housing serial number (SHSN) from lowest to highest.

General Screening

General screening was done by going over the submitted accomplished questionnaires and checking for the completeness of the geographic identification and other information called for in the cover page.

General screening for APIS questionnaires was done to ensure that the geographic and household identification and the entire sample households are the same with the MS Form 6.

General Instructions on Manual Processing

The following instructions was observed in manual processing.

1. Prior to editing and coding of items, the questionnaires were checked if they were properly folioed. Folioing was done in the province. Regional Offices checked if folioing was done properly by the Provincial Offices.

2. All questionnaires for one folio was assigned to only one editor/coder, unless otherwise necessary (e.g., when the one who is processing a folio is absent for more than a day).

3. In general, the editors assumed that the original entries are correct. Editing was done only when an entry is obviously incorrect. A doubtful or inconsistent item was verified in the field.

Response rate

Of the 43,020 eligible sample households for the 2008 APIS, 40,613 were successfully interviewed. This translated to a response rate of 94.4 percent at the national level. Households which were not interviewed either refused to be interviewed or were not available or were away during the enumeration period.

Sampling error estimates

Sampling errors have been calculated for the following variables: 1) Percentage of Families with Own or Ownerlike Possession of House and Lot they Occupy 2) Percentage of Families Living in Houses with Roof Made of Strong Materials 3) Percentage of Families Living in Houses with Outer Walls Made of Strong Materials 4) Percentage of Families with Electricity in the Building/House They Reside in 5) Percentage of Families with Access to Safe Water Supply 6) Percentage of Families with Sanitary Toilet 7) Percentage of Families with Children 6-12 Years Old in Elementary Grades 8) Percentage of Families with Children 13-16 Years Old in High School 9) Percentage of Families with Members 18 Years Old and Over Gainfully Employed 10) Percentage of Families with Working Children 5-17 Years Old 11) Average Family Income 12) Average Family Expenditure

Data appraisal

A series of data quality tables were generated to review the quality of the data and include the following: - Age distribution of the household population - Highest grade completed versus current grade - Highest grade completed versus age - Current grade versus age - Reason for not attending school versus highest grade completed - Reason for not attending school versus current grade - Marital status versus age - Consistency of income vs. expenditure

The Philippines is an archipelagic country in Southeast Asia. It is situated in the western Pacific Ocean, and consists of about 7,640 islands, that are broadly categorized under three main geographical divisions from north to south: Luzon, Visayas, and Mindanao. The Philippines is bounded by the South China Sea to the west, the Philippine Sea to the east, and the Celebes Sea to the southwest, and shares maritime borders with Taiwan to the north, Japan to the northeast, Palau to the east and southeast, Indonesia to the south, Malaysia and Brunei to the southwest, Vietnam to the west, and China to the northwest. The Philippines covers an area of 300,000 km2 (120,000 sq mi) and, as of 2020, had a population of around 109 million people. The Philippines is a multinational state, with diverse ethnicities and cultures throughout its islands. Manila is the nation's capital, while the largest city is Quezon City, both lying within the urban area of Metro Manila.

Source: Objaverse 1.0 / Sketchfab

Land use modelling is increasingly used by archaeologists and palaeoecologists seeking to quantify and compare the changing influence of humans on the environment. In Southeast Asia, the intensification of rice agriculture and the arrival of European colonizers have both been seen as major catalysts for deforestation, soil erosion, and biodiversity change. Here we consider the Tuwali-Ifugao people of the Cordillera Central (Luzon, Philippines), who resisted Spanish colonial subjugation from the 16th to the mid-nineteenth century, in part through the development of a world-renowned system of intensive wet-rice terrace agriculture. To quantify changes in how the Tuwali-Ifugao used their environment, we model land use in Old Kiyyangan Village, a long-inhabited settlement, at two timepoints: circa 1570 CE, prior to the Spanish arrival in Luzon, and circa 1800 CE, before the village was sacked by Spanish military expeditions. Our model demonstrates that between 1570 and 1800 the adoption of rice as a staple and the corresponding expansion in terrace agriculture, along with a general diversification of diet and land use, enabled the village’s population to double without increasing total land use area. Further, this major intensification led to the solidification of social hierarchies and occurred without a proportional increase in deforestation.