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.

As of May 2020, Region 4-A had the largest population in the Philippines, with approximately 16.2 million inhabitants living in the region. The region is part of the Island of Luzon along with regions one, two, three, 4-B, five, the Cordillera Administrative Region (CAR), and the National Capital Region (NCR).

In 1800, the population of the islands which make up the territory of the Philippines had a population of approximately 1.89 million. The population of the archipelago would grow steadily throughout the 19th century, reaching almost 6.5 million people by 1900. However, the population would begin to rise much more rapidly following the country’s independence from the United States in 1946, as post-war economic aid from the United States and expansive modernization projects by the Philippine government would lead to a significant rise in standards of living and result in a post-war baby boom. This growth would remain steady well into the 21st century, and while the rate of population growth has fallen somewhat in recent years, the population of the Philippines is expected to continue its increase in the coming years, and in 2020, the Philippines is estimated to have a population of just under 110 million, which is almost twelve times larger than the Philippines' population in 1920.

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.

2,37 (%) in 2010.

0,6377 (Share (Percent/100)) 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.

10.118.478 (Persons) in 2010.

In 2023, one public health nurse was serving 5,863 people in the Philippines. Across regions, CALABARZON accounted for the highest nurse-to-population ratio at 7,963, followed by the Central Luzon Region (Region 3). In contrast, there were 2,547 people for every nurse in CAR.

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

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.

21,3 (Births per 1,000 Population) in 2010.

人口：人口普查2010：第三区：中央吕宋行政区在12-01-2015达11,218.177千人，相较于12-01-2010的10,137.737千人有所增长。人口：人口普查2010：第三区：中央吕宋行政区数据按年更新，12-01-1975至12-01-2015期间平均值为7,648.467千人，共8份观测结果。该数据的历史最高值出现于12-01-2015，达11,218.177千人，而历史最低值则出现于12-01-1975，为3,911.863千人。CEIC提供的人口：人口普查2010：第三区：中央吕宋行政区数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于全球数据库的菲律宾 – 表 PH.G001：人口：人口普查2010。

UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Ilocos, Central Luzon and National Capital regions of Philippines as observed from a Sentinel-1 image acquired on 17 November 2020 at 05:46 local time. Within the analyzed area of about 16,500 km2, a total of about 300 km2 of lands appear to be flooded. The water extent appears to have receded of about 900 km2 since 13 November 2020. Based on Worldpop population data and the detected surface waters, about 200,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

人口：预测：2010年人口普查：中央吕宋行政区在12-01-2045达14,490.500千人，相较于12-01-2040的14,203.900千人有所增长。人口：预测：2010年人口普查：中央吕宋行政区数据按年更新，12-01-2010至12-01-2045期间平均值为12,937.150千人，共8份观测结果。该数据的历史最高值出现于12-01-2045，达14,490.500千人，而历史最低值则出现于12-01-2010，为10,238.300千人。CEIC提供的人口：预测：2010年人口普查：中央吕宋行政区数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于Global Database的菲律宾 – 表 PH.G001：人口：预测：2010年人口普查。

Abstract

The 2003 Family Income and Expenditure Survey (FIES) had the following primary objectives:

1) to gather data on family income and family expenditure and related information affecting income and expenditure levels and patterns in the Philippines;

2) to determine the sources of income and income distribution, levels of living and spending patterns, and the degree of inequality among families;

3) to provide benchmark information to update weights for the estimation of consumer price index; and

4) to provide information for the estimation of the country's poverty threshold and incidence.

Geographic coverage

National coverage

Analysis unit

Household Consumption expenditure item Income by source

Universe

The 2003 FIES has as its target population, all households and members of households nationwide. A household is defined as an aggregate of persons, generally but not necessarily bound by ties of kinship, who live together under the same roof and eat together or share in common the household food. Household membership comprises the head of the household, relatives living with him such as his/her spouse, children, parent, brother/sister, son-in-law/daughter-in-law, grandson/granddaughter and other relatives. Household membership likewise includes boarders, domestic helpers and non-relatives. A person who lives alone is considered a separate household.

Institutional population is not within the scope of the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2003 MS considers the country's 17 administrative regions as defined in Executive Orders (EO) 36 and 131 as the sampling domains. A domain is referred to as a subdivision of the country for which estimates with adequate level of precision are generated. It must be noted that while there is demand for data at the provincial level (and to some extent municipal and barangay levels), the provinces were not treated as sampling domains because there are more than 80 provinces which would entail a large resource requirement. Below are the 17 administrative regions of the country:

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

As in most household surveys, the 2003 MS made use of an area sample design. For this purpose, the Enumeration Area Reference File (EARF) of the 2000 Census of Population and Housing (CPH) was utilized as sampling frame. The EARF contains the number of households by enumeration area (EA) in each barangay.

This frame was used to form the primary sampling units (PSUs). With consideration of the period for which the 2003 MS will be in use, the PSUs were formed/defined as a barangay or a combination of barangays with at least 500 households.

The 2003 MS considers the 17 regions of the country as the primary strata. Within each region, further stratification was performed using geographic groupings such as provinces, highly urbanized cities (HUCs), and independent component cities (ICCs). Within each of these substrata formed within regions, the PSUs were further stratified, to the extent possible, using the proportion of strong houses (PSTRONG), indicator of engagement in agriculture of the area (AGRI), and a measure of per capita income (PERCAPITA) as stratification factors.

The 2003 MS consists of a sample of 2,835 PSUs. The entire MS was divided into four sub-samples or independent replicates, such as a quarter sample contains one fourth of the total PSUs; a half sample contains one-half of the four sub-samples or equivalent to all PSUs in two replicates.

The final number of sample PSUs for each domain was determined by first classifying PSUs as either self-representing (SR) or non-self-representing (NSR). In addition, to facilitate the selection of sub-samples, the total number of NSR PSUs in each region was adjusted to make it a multiple of 4.

SR PSUs refers to a very large PSU in the region/domain with a selection probability of approximately 1 or higher and is outright included in the MS; it is properly treated as a stratum; also known as certainty PSU. NSR PSUs refers to a regular too small sized PSU in a region/domain; also known as non-certainty PSU. The 2003 MS consists of 330 certainty PSUs and 2,505 non-certainty PSUs.

To have some control over the sub-sample size, the PSUs were selected with probability proportional to some estimated measure of size. The size measure refers to the total number of households from the 2000 CPH. Because of the wide variation in PSU sizes, PSUs with selection probabilities greater than 1 were identified and were included in the sample as certainty selections.

At the second stage, enumeration areas (EAs) were selected within sampled PSUs, and at the third stage, housing units were selected within sampled EAs. Generally, all households in sampled housing units were enumerated, except for few cases when the number of households in a housing unit exceeds three. In which case, a sample of three households in a sampled housing unit was selected at random with equal probability.

An EA is defined as an area with discernable boundaries within barangays consisting of about 150 contiguous households. These EAs were identified during the 2000 CPH. A housing unit, on the other hand, is a structurally separate and independent place of abode which, by the way it has been constructed, converted, or arranged, is intended for habitation by a household.

The 2003 FIES involved the interview of a national sample of about 51,000 sample households deemed sufficient to gather data on family income and family expenditure and related information affecting income and expenditure levels and patterns in the Philippines at the national and regional level. The sample households covered in the survey were the same households interviewed in the July 2003 and January 2004 round of the LFS.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

The 2003 FIES questionnaire contains about 800 data items and a summary for comparing income and expenditures. The questionnaires were subjected to a rigorous manual and machine edit checks for completeness, arithmetic accuracy, range validity and internal consistency.

The major steps in the machine processing are as follows: 1. Data Entry 2. Completeness Check 3. Matching of visit records 4. Consistency and Macro Edit (Big Edit) 5. Generation of the Public Use File 6. Tabulation

Steps 1 to 2 were done right after each visit. The remaining steps were carried out only after the second visit had been completed.

Steps 1 to 4 were done at the Regional Office while Steps 5 and 6 were completed in the Central Office.

After completing Steps 1 to 4, data files were transmitted to the Central Office where a summary file was generated. The summary file was used to produce the consistency tables as well as the preliminary and textual tables.

When the generated tables showed inconsistencies, selected data items were subjected to further scrutiny and validation. The cycle of generation of consistency tables and data validation were done until questionable data items were verified.

The FAME (FIES computer-Aided Consistency and Macro Editing), an interactive Windows-based application system was used in data processing. This system was used starting with the 2000 FIES round. The interactive module of FAME enabled the following activities to be done simultaneously. a) Matching of visit records b) Consistency and macro edit (big edit) c) Range check

The improved system minimized processing time as well as minimized, if not eliminated, the need for paper to generate the reject listing.

Note: For data entry, CSPro Version 2.6 was used.

Response rate

The response rate for this survey is 95.7%. The response rate is the ratio of the total responding households to the total number of eligible households. Eligible households include households who were completely interviewed, refused to be interviewed or were temporarily away or not at home or on vacation during the survey period.

Sampling error estimates

As in all surveys, two types of non-response were encountered in the 2003 FIES: interview non-response and item non-response. Interview non-response refers to a sample household that could not be interviewed. Since the survey requires that the sample households be interviewed in both visits, households that transferred to another dwelling unit, temporarily away, on vacation, not at home, household unit demolished, destroyed by fire/typhoon and refusal to be interviewed in the second visit contributed to the number of interview non-response cases.

Item non-response, or the failure to obtain responses to particular survey items, resulted from factors such as respondents being unaware of the answer to a particular question, unwilling to provide the requested information or ENs’ omission of questions during the interview. Deterministic imputation was done to address item nonresponse. This imputation is a process in which proper entry for a particular missing item was deduced from other items of the questionnaire where the non-response item was observed. Notes and remarks indicated in the questionnaire were likewise used as basis for imputation.

Data appraisal

Refer to the

According to a September 2021 survey conducted in the Philippines, the National Capital Region (NCR) recorded the highest internet access rate, at 84 percent of the country's adult population, followed by the rest of Luzon at 65 percent. In general, approximately 63 percent of adult Filipinos reportedly had access to the internet.

贫困人口的发生率：中央吕宋行政区在12-01-2015达11.200%，相较于12-01-2012的12.900%有所下降。贫困人口的发生率：中央吕宋行政区数据按年更新，12-01-1988至12-01-2015期间平均值为16.100%，共10份观测结果。该数据的历史最高值出现于12-01-1988，达33.800%，而历史最低值则出现于12-01-2015，为11.200%。CEIC提供的贫困人口的发生率：中央吕宋行政区数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于Global Database的菲律宾 – 表 PH.H025：家庭收支调查：贫困统计和贫困人口的比例：按地区分类。

人口：预测：Census 2015：男性：中央吕宋行政区在07-01-2025达6,693.849千人，相较于07-01-2024的6,607.552千人有所增长。人口：预测：Census 2015：男性：中央吕宋行政区数据按年更新，07-01-2016至07-01-2025期间平均值为6,274.852千人，共10份观测结果。该数据的历史最高值出现于07-01-2025，达6,693.849千人，而历史最低值则出现于07-01-2016，为5,779.822千人。CEIC提供的人口：预测：Census 2015：男性：中央吕宋行政区数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于全球数据库的菲律宾 – 表 PH.G002：人口：Census 2015：预测。