Philippines Population: Region IVA: CALABARZON data was reported at 14,414.774 Person th in 2015. This records an increase from the previous number of 12,609.803 Person th for 2010. Philippines Population: Region IVA: CALABARZON data is updated yearly, averaging 9,320.629 Person th from Dec 1980 (Median) to 2015, with 7 observations. The data reached an all-time high of 14,414.774 Person th in 2015 and a record low of 4,603.435 Person th in 1980. Philippines Population: Region IVA: CALABARZON 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 and Population Density: Census.

Philippines Population Density: Region IVA: CALABARZON data was reported at 870.000 Person/sq km in 2015. This records an increase from the previous number of 761.000 Person/sq km for 2010. Philippines Population Density: Region IVA: CALABARZON data is updated yearly, averaging 562.000 Person/sq km from Dec 1980 (Median) to 2015, with 7 observations. The data reached an all-time high of 870.000 Person/sq km in 2015 and a record low of 277.000 Person/sq km in 1980. Philippines Population Density: Region IVA: CALABARZON 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: Projection: Census 2015: Male: CALABARZON data was reported at 8,758.824 Person th in 2025. This records an increase from the previous number of 8,626.039 Person th for 2024. Philippines Population: Projection: Census 2015: Male: CALABARZON data is updated yearly, averaging 8,121.184 Person th from Jul 2016 (Median) to 2025, with 10 observations. The data reached an all-time high of 8,758.824 Person th in 2025 and a record low of 7,384.181 Person th in 2016. Philippines Population: Projection: Census 2015: Male: CALABARZON 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.

Philippines Incidence of Poor Population: CALABARZON data was reported at 9.100 % in 2015. This records a decrease from the previous number of 10.900 % for 2012. Philippines Incidence of Poor Population: CALABARZON data is updated yearly, averaging 11.900 % from Dec 1991 (Median) to 2015, with 7 observations. The data reached an all-time high of 22.700 % in 1991 and a record low of 9.100 % in 2015. Philippines Incidence of Poor Population: CALABARZON 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.

Philippines Population: Forecast: 2010 Census: Male: CALABARZON data was reported at 10,069.000 Person th in 2045. This records an increase from the previous number of 9,753.400 Person th for 2040. Philippines Population: Forecast: 2010 Census: Male: CALABARZON data is updated yearly, averaging 8,595.800 Person th from Dec 2010 (Median) to 2045, with 8 observations. The data reached an all-time high of 10,069.000 Person th in 2045 and a record low of 6,362.100 Person th in 2010. Philippines Population: Forecast: 2010 Census: Male: CALABARZON 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.

In the CALABARZON region of the Philippines, the morbidity rate of acute respiratory infection per 100,000 population amounted to approximately ***** in 2021. In contrast, the morbidity rate of skin disease per 100,000 inhabitants was only ****.

In 2024, there was one medical technical technologist for about 33,648 people in the Philippines. Across regions, the BARMM accounted for the highest medical technologist-to-population ratio at about 103,168, followed by Region 4-A CALABARZON. In contrast, there were 16,883 people for every medical technologist in the Cordillera Administrative Region (CAR).

Philippines Magnitude of Poor Population: CALABARZON data was reported at 1,287,966.000 Person in 2015. This records a decrease from the previous number of 1,425,774.000 Person for 2012. Philippines Magnitude of Poor Population: CALABARZON data is updated yearly, averaging 1,419,975.000 Person from Dec 1991 (Median) to 2015, with 7 observations. The data reached an all-time high of 1,697,033.000 Person in 2000 and a record low of 1,140,958.000 Person in 2006. Philippines Magnitude of Poor Population: CALABARZON 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.

Abstract

This survey was conducted in Philippines between November 2014 and May 2016, as part of the Enterprise Survey project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries. Only registered businesses are surveyed in the Enterprise Survey.

Data from 1,335 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

Geographic coverage

Metro Manila, NCR excluding Manila, Metro Cebu, Central Luzon, and Calabarzon

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into five manufacturing industries and two services industries: Food and Beverages (ISIC Rev. 3.1 code 15), Garments (ISIC code 18), Non-metallic mineral products (ISIC code 26), Fabricated metal products (ISIC code 28), Other Manufacturing (ISIC codes 16,17, 19-25, 27, 29-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees).

Regional stratification for the Philippines ES was done across five regions: Metro Manila, NCR excluding Manila, Metro Cebu, Central Luzon, and Calabarzon.

The sample frame consisted of listings of firms from two sources: First, for panel firms the list of 1326 firms from the Philippines 2009 ES was used. Second, for fresh firms (i.e., firms not covered in 2009), economic census data from Philippines Statistics Authority (PSA) was used.

The quality of the frame was enhanced by the verification process conducted by OIJ Business Partners. However, the sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 3.7% (135 out of 3,649 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that two different versions of the survey instrument were used for all registered establishments. Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module). Each variation of the questionnaire is identified by the index variable, a0.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

The number of interviews per contacted establishments was 0.36. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.34.

Philippines Incidence of Poor Families: CALABARZON data was reported at 6.700 % in 2015. This records a decrease from the previous number of 8.300 % for 2012. Philippines Incidence of Poor Families: CALABARZON data is updated yearly, averaging 8.800 % from Dec 1991 (Median) to 2015, with 7 observations. The data reached an all-time high of 19.100 % in 1991 and a record low of 6.700 % in 2015. Philippines Incidence of Poor Families: CALABARZON 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.

Abstract

The 2009 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

The 2003 Master Sample (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

Analysis unit

The unit of analysis was the Household

Universe

The 2009 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.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2003 Master Sample (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.

Mode of data collection

Face-to-face [f2f]

Research instrument

Refer to the attached 2009 FIES questionnaire in pdf file (External Resources)

In 2024, the total number of hogs in farms in the Philippines amounted to approximately 9.57 million heads, reflecting a decrease from the previous year's inventory. The provinces of Central Luzon, CALABARZON, Western Visayas, and Northern Mindanao were the primary sources of the country's total hog population.

Philippines Per Capita Poverty Threshold: CALABARZON data was reported at 22,121.000 PHP in 2015. This records an increase from the previous number of 19,137.000 PHP for 2012. Philippines Per Capita Poverty Threshold: CALABARZON data is updated yearly, averaging 13,670.000 PHP from Dec 1991 (Median) to 2015, with 7 observations. The data reached an all-time high of 22,121.000 PHP in 2015 and a record low of 6,409.000 PHP in 1991. Philippines Per Capita Poverty Threshold: CALABARZON 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.

人口：第四 A 大区：甲拉巴松区在12-01-2015达14,414.774千人，相较于12-01-2010的12,609.803千人有所增长。人口：第四 A 大区：甲拉巴松区数据按年更新，12-01-1980至12-01-2015期间平均值为9,320.629千人，共7份观测结果。该数据的历史最高值出现于12-01-2015，达14,414.774千人，而历史最低值则出现于12-01-1980，为4,603.435千人。CEIC提供的人口：第四 A 大区：甲拉巴松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.G002：人口和人口密度：人口普查。

人口：预测：Census 2015：甲拉巴松区在07-01-2025达17,480.435千人，相较于07-01-2024的17,215.637千人有所增长。人口：预测：Census 2015：甲拉巴松区数据按年更新，07-01-2016至07-01-2025期间平均值为16,208.883千人，共10份观测结果。该数据的历史最高值出现于07-01-2025，达17,480.435千人，而历史最低值则出现于07-01-2016，为14,739.210千人。CEIC提供的人口：预测：Census 2015：甲拉巴松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。

贫困人口的量级：甲拉巴松区在12-01-2015达1,287,966.000人，相较于12-01-2012的1,425,774.000人有所下降。贫困人口的量级：甲拉巴松区数据按年更新，12-01-1991至12-01-2015期间平均值为1,419,975.000人，共7份观测结果。该数据的历史最高值出现于12-01-2000，达1,697,033.000人，而历史最低值则出现于12-01-2006，为1,140,958.000人。CEIC提供的贫困人口的量级：甲拉巴松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：2010年人口普查：甲拉巴松区在12-01-2045达20,114.800千人，相较于12-01-2040的19,500.000千人有所增长。人口：预测：2010年人口普查：甲拉巴松区数据按年更新，12-01-2010至12-01-2045期间平均值为17,212.250千人，共8份观测结果。该数据的历史最高值出现于12-01-2045，达20,114.800千人，而历史最低值则出现于12-01-2010，为12,762.000千人。CEIC提供的人口：预测：2010年人口普查：甲拉巴松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。

贫困人口的发生率：甲拉巴松区在12-01-2015达9.100%，相较于12-01-2012的10.900%有所下降。贫困人口的发生率：甲拉巴松区数据按年更新，12-01-1991至12-01-2015期间平均值为11.900%，共7份观测结果。该数据的历史最高值出现于12-01-1991，达22.700%，而历史最低值则出现于12-01-2015，为9.100%。CEIC提供的贫困人口的发生率：甲拉巴松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。

人均贫困线：甲拉巴松区在12-01-2015达22,121.000菲律宾比索，相较于12-01-2012的19,137.000菲律宾比索有所增长。人均贫困线：甲拉巴松区数据按年更新，12-01-1991至12-01-2015期间平均值为13,670.000菲律宾比索，共7份观测结果。该数据的历史最高值出现于12-01-2015，达22,121.000菲律宾比索，而历史最低值则出现于12-01-1991，为6,409.000菲律宾比索。CEIC提供的人均贫困线：甲拉巴松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。