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.
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Philippines Population: Autonomous Region for Muslim Mindanao (ARMM) data was reported at 3,781.387 Person th in 2015. This records an increase from the previous number of 3,256.140 Person th for 2010. Philippines Population: Autonomous Region for Muslim Mindanao (ARMM) data is updated yearly, averaging 2,582.673 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 4,120.795 Person th in 2007 and a record low of 1,231.060 Person th in 1975. Philippines Population: Autonomous Region for Muslim Mindanao (ARMM) 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.
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The Philippines: Muslims as percent of the total population: The latest value from 2013 is 5 percent, unchanged from 5 percent in 2012. In comparison, the world average is 34.3 percent, based on data from 128 countries. Historically, the average for the Philippines from 1960 to 2013 is 5 percent. The minimum value, 5 percent, was reached in 1960 while the maximum of 5 percent was recorded in 1960.
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Philippines Population Density: Autonomous Region for Muslim Mindanao (ARMM) data was reported at 103.000 Person/sq km in 2015. This records an increase from the previous number of 89.000 Person/sq km for 2010. Philippines Population Density: Autonomous Region for Muslim Mindanao (ARMM) data is updated yearly, averaging 73.246 Person/sq km from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 122.967 Person/sq km in 2007 and a record low of 47.000 Person/sq km in 1980. Philippines Population Density: Autonomous Region for Muslim Mindanao (ARMM) 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.
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The Philippines: Sunni Muslims as percent of the total population: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0.0 percent, based on data from countries. Historically, the average for the Philippines from to is percent. The minimum value, percent, was reached in while the maximum of percent was recorded in .
As of 2015, approximately ************* female and male population among households in the Philippines were affiliated with the Islam religion. The said religion was among the religion in the country with the highest members.
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Philippines Population: 15 Years & Over: Autonomous Region in Muslim Mindanao data was reported at 2,401.000 Person th in Jul 2018. This records an increase from the previous number of 2,354.000 Person th for Apr 2018. Philippines Population: 15 Years & Over: Autonomous Region in Muslim Mindanao data is updated quarterly, averaging 2,162.000 Person th from Jul 2004 (Median) to Jul 2018, with 57 observations. The data reached an all-time high of 2,426.000 Person th in Oct 2015 and a record low of 1,661.000 Person th in Oct 2004. Philippines Population: 15 Years & Over: Autonomous Region in Muslim Mindanao 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.
Based on the 2020 census, 86 percent of households in the Philippines were classified as non-indigenous peoples. Meanwhile, there were about eight people who were indigenous people and five percent belonging to a Muslim tribe.
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Philippines Magnitude of Poor Population: Autonomous Region in Muslim Mindanao data was reported at 1,990,503.000 Person in 2015. This records an increase from the previous number of 1,854,188.000 Person for 2012. Philippines Magnitude of Poor Population: Autonomous Region in Muslim Mindanao data is updated yearly, averaging 1,450,467.000 Person from Dec 1991 (Median) to 2015, with 9 observations. The data reached an all-time high of 1,990,503.000 Person in 2015 and a record low of 631,372.000 Person in 1991. Philippines Magnitude of Poor Population: Autonomous Region in Muslim Mindanao 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.
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Philippines Incidence of Poor Population: Autonomous Region in Muslim Mindanao data was reported at 53.700 % in 2015. This records a decrease from the previous number of 55.800 % for 2012. Philippines Incidence of Poor Population: Autonomous Region in Muslim Mindanao data is updated yearly, averaging 53.700 % from Dec 1991 (Median) to 2015, with 9 observations. The data reached an all-time high of 65.300 % in 1994 and a record low of 30.500 % in 1991. Philippines Incidence of Poor Population: Autonomous Region in Muslim Mindanao 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.
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Philippines: Muslims as percent of the total population: Pour cet indicateur, The Cline Center for Democracy fournit des données pour la Philippines de 1960 à 2013. La valeur moyenne pour Philippines pendant cette période était de 5 pour cent avec un minimum de 5 pour cent en 1960 et un maximum de 5 pour cent en 1960.
0.4970 (Share (Percent/100)) in 2010.
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Philippines: Sunni Muslims as percent of the total population: Pour cet indicateur, The Cline Center for Democracy fournit des données pour la Philippines de à . La valeur moyenne pour Philippines pendant cette période était de pour cent avec un minimum de pour cent en et un maximum de pour cent en .
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Philippines Incidence of Poor Families: Autonomous Region in Muslim Mindanao data was reported at 48.200 % in 2015. This records a decrease from the previous number of 48.700 % for 2012. Philippines Incidence of Poor Families: Autonomous Region in Muslim Mindanao data is updated yearly, averaging 48.200 % from Dec 1991 (Median) to 2015, with 9 observations. The data reached an all-time high of 60.000 % in 1994 and a record low of 25.000 % in 2003. Philippines Incidence of Poor Families: Autonomous Region in Muslim Mindanao 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.
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Philippines Per Capita Poverty Threshold- Autonomous Region in Muslim Mindanao data was reported at 21,563.000 PHP in 2015. This records an increase from the previous number of 20,517.000 PHP for 2012. Philippines Per Capita Poverty Threshold- Autonomous Region in Muslim Mindanao data is updated yearly, averaging 12,199.000 PHP from Dec 1991 (Median) to 2015, with 9 observations. The data reached an all-time high of 21,563.000 PHP in 2015 and a record low of 5,201.000 PHP in 1991. Philippines Per Capita Poverty Threshold- Autonomous Region in Muslim Mindanao 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.
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Philippines Magnitude of Poor Families: Autonomous Region in Muslim Mindanao data was reported at 296,999.000 Unit in 2015. This records an increase from the previous number of 271,355.000 Unit for 2012. Philippines Magnitude of Poor Families: Autonomous Region in Muslim Mindanao data is updated yearly, averaging 205,834.000 Unit from Dec 1991 (Median) to 2015, with 9 observations. The data reached an all-time high of 296,999.000 Unit in 2015 and a record low of 104,747.000 Unit in 1991. Philippines Magnitude of Poor Families: Autonomous Region in Muslim Mindanao 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.
In the Bangsamoro Autonomous Region of Muslim Mindanao (BARMM) of the Philippines, the morbidity rate of acute respiratory infection per 100,000 population amounted to just over 435.5 in 2021. On the other hand, the morbidity rate of pneumonia per 100,000 inhabitants was 44.6.
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人口:人口普查2010:棉兰老穆斯林自治区在12-01-2015达3,781.387千人,相较于12-01-2010的3,256.140千人有所增长。人口:人口普查2010:棉兰老穆斯林自治区数据按年更新,12-01-1975至12-01-2015期间平均值为2,582.673千人,共8份观测结果。该数据的历史最高值出现于12-01-2007,达4,120.795千人,而历史最低值则出现于12-01-1975,为1,231.060千人。CEIC提供的人口:人口普查2010:棉兰老穆斯林自治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。
In 2023, there was one dentist for about ****** people in the Philippines. The highest population-to-dentist ratio was recorded in the BARMM Region or Bangsamoro Autonomous Region in Muslim Mindanao, with about ******* people for every dentist. In contrast, there were about ****** residents in the National Capital Region (NCR).
Objectives:
The Labor Force Survey (LFS) aims to provide a quantitative framework for the preparation of plans and formulation of policies affecting the labor market.
Specifically, the survey is designed to provide statistics on levels and trends of employment, unemployment and underemployment for the country as a whole, and for each of the administrative regions.
Importance of the Labor Force Survey:
a. It provides a quantitative framework for the preparation of plans and formulation of policies affecting the labor market towards 1) creation and generation of gainful employment and livelihood opportunities 2) reduction of unemployment and promotion of employment 3) improvement of working conditions 4) enhancement of the welfare of a working person b. It provides statistics on levels and trends of employment and unemployment and underemployment for the country and regions; c. It is used for the projection of future manpower, which when compared with the future manpower requirements, will help identify employment and training needs; d. It helps in the assessment of the potential human resource available for economic development; and e. It identifies the differences in employment, unemployment, and underemployment according to the different economic, social and ethnic groups existing within the population.
The geographic coverage consists of the country's 17 administrative regions. The 17 regions are:
Region I - Ilocos,
Region II - Cagayan Valley,
Region III - Central Luzon,
Region IV-A - Calabarzon,
Region IV-B - 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 - Soccksargen,
Region XIII - National Capital Region (NCR),
Region XIV - Cordillera Administrative Region (CAR),
Region XV - Autonomous Region in Muslim Mindanao (ARMM)
Region XVI - Caraga,
Starting this July 2003 round of the Labor Force Survey, the generation of the labor force and employment statistics adopted the 2003 Master Sample Design. - Using this new master sample design, the number of samples increased from 41,000 to around 51,000 sample households. - The province of Basilan is grouped under Autonomous Region in Muslim Mindanao while Isabela City (Basilan) is now grouped under Region IX. This is in consonance with the regional grouping under Executive Order No. 36. - The 1992 four-digit code for Philippine Standard Occupational Classification (PSOC) and 1994 Philippine Standard Industry Classification (PSIC) were used in classifying the occupation and industry. - Because of unavailability of data files for the province of Zamboanga Sibugay of Region IX and the provinces of Sulu and Lanao del Sur of ARMM on cut-off date, estimates at the national level and for the two regions exclude those of the said three provinces. Estimates for the three provinces will be included in the Final Results.
Individuals
The LFS has as its target population, all household members of the sample housing units 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 or her spouse, children, parent, brother or sister, son-in-law or daughter-in-law, grandson or granddaughter, and other relatives. Household membership likewise includes boarders, domestic helpers and non-relatives. A person who lives alone is considered a separate household.
Persons who reside in the institutions are not within the scope of the survey.
Sample survey data [ssd]
The sampling design of the Labor Force Survey (LFS) uses the sampling design of the 2003 Master Sample (MS) for Household Surveys that started July 2003.
Sampling Frame
As in most household surveys, the 2003 MS used an area sample design. 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.
Stratification Scheme
Startification involves the division of the entire population into non-overlapping subgroups called starta. Prior to sample selection, the PSUs in each domain were stratified as follows: 1) All large PSUs were treated as separate strata and were referred to as certainty selections (self-representing PSUs). A PSU was considered large if it has a large probability of selection. 2) All other PSUs were then stratified by province, highly urbanized city (HUC) and independent component city (ICC). 3) Within each province/HUC/ICC, the PSUs were further stratified or grouped with respect to some socio-economic variables that were related to poverty incidence. These variables were: (a) the proportion of strongly built houses (PSTRONG); (b) an indication of the proportion of households engaged in agriculture (AGRI); and (c) the per-capita income (PERCAPITA).
Sample Selection
To have some control over the subsample 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 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
Sample Size
The 2003 Master Sample consist of a sample of 2,835 PSUs of which 330 were certainty PSUs and 2,505 were non certainty PSUs. The number of households for the 2000 CPH was used as measure of size. The entire MS was divided into four sub-samples or independent replicates, such as a quarter sample contains one fourth of the PSUs found in one replicate; a half-sample contains one-half of the PSUs in two replicates. Thus, the survey covers a nationwide sample of about 51,000 households deemed sufficient to measure the levels of employment and unemployment at the national and regional levels.
Strategy for non-response
Replacement of sample households within the sample housing units is allowed only if the listed sample households had moved out of the housing unit. Replacement should be the household currently residing in the sample housing unit previously occupied by the original sample.
Starting the July 2003 round of the Labor Force Survey, the generation of the labor force and employment statistics adopted the 2003 Master Sample Design. - Using this new master sample design, the number of samples increased from 41,000 to around 51,000 sample households.
Face-to-face [f2f]
ISH FORM 2 (LFS questionnaire) is a four-page, forty four-column questionnaire that is being used in the quarterly rounds of the Labor Force Survey nationwide. This questionnaire gathers data on the demographic and economic characteristics of the population.
On the first page of the questionnaire, the particulars about the geographic location, design codes and household auxiliary information of the sample household that is being interviewed are to be recorded. Certifications by the enumerator and his supervisor regarding the manner by which the data are collected are likewise to be made on this page.
The inside pages of the questionnaire contain the items to be determined about each member of the sample household. Columns 2 to 11 are for the demographic characteristics; columns 2 to 7A are to be ascertained of all members of the household regardless of age. Columns 8 to 9 are asked for members 5 years old and over, while column 10 is asked for members 5 to 24 years old, column 11, for 15 years old and over, while columns 12 to 16 are asked for members 5 years old and over. Items 18 to 44 on the other hand, are the series of items that will be asked of all the members 15 years old and over to determine their labor force and employment characteristics.
Most of the
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.