Philippines Population: Region XI: Southern Mindanao data was reported at 4,893.318 Person th in 2015. This records an increase from the previous number of 4,468.563 Person th for 2010. Philippines Population: Region XI: Southern Mindanao data is updated yearly, averaging 3,482.494 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 4,893.318 Person th in 2015 and a record low of 2,198.683 Person th in 1980. Philippines Population: Region XI: Southern 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.G001: Population: Census 2010.

Philippines Population: Region IX: Western Mindanao data was reported at 3,629.783 Person th in 2015. This records an increase from the previous number of 3,407.353 Person th for 2010. Philippines Population: Region IX: Western Mindanao data is updated yearly, averaging 2,699.532 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 3,629.783 Person th in 2015 and a record low of 1,399.371 Person th in 1975. Philippines Population: Region IX: Western 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.G001: Population: Census 2010.

Philippines Population: Region X: Northern Mindanao data was reported at 4,689.302 Person th in 2015. This records an increase from the previous number of 4,297.323 Person th for 2010. Philippines Population: Region X: Northern Mindanao data is updated yearly, averaging 3,351.383 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 4,689.302 Person th in 2015 and a record low of 1,336.954 Person th in 1975. Philippines Population: Region X: Northern 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.G001: Population: Census 2010.

Philippines Population Density: Region X: Northern Mindanao data was reported at 229.000 Person/sq km in 2015. This records an increase from the previous number of 210.000 Person/sq km for 2010. Philippines Population Density: Region X: Northern Mindanao data is updated yearly, averaging 163.492 Person/sq km from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 229.000 Person/sq km in 2015 and a record low of 95.300 Person/sq km in 1975. Philippines Population Density: Region X: Northern 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.G002: Population and Population Density: Census.

Philippines Population: Region XII: Central Mindanao data was reported at 4,545.276 Person th in 2015. This records an increase from the previous number of 4,109.571 Person th for 2010. Philippines Population: Region XII: Central Mindanao data is updated yearly, averaging 3,034.568 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 4,545.276 Person th in 2015 and a record low of 1,222.777 Person th in 1975. Philippines Population: Region XII: Central 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.G002: Population and Population Density: Census.

0.4970 (Share (Percent/100)) in 2010.

3.248.787 (Persons) in 2010.

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.

In the Philippines' Northern Mindanao region, the morbidity rate of hypertension per 100,000 population amounted to approximately 486.2 in 2021. In comparison, the morbidity rate of acute watery diarrhea per 100,000 inhabitants was only 48.3. .

In 2014, there were around one thousand crime incidents per 100,000 individuals across the Northern Mindanao Region of the Philippines. The region has about 4.7 million population and a total land area of approximately two million hectares.

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.

In 2023, there were about *** million overnight domestic travelers in Region 10 or the Northern Mindanao region of the Philippines. In addition, there were roughly ****** foreign tourists that visited the region in that year. The number of overnight travelers in the region gradually increased in the past three years.

44,52,549 (Persons) in 2010.

Abstract

Estimated at 10 to 20 percent of the 109 million population in Philippines, Indigenous Peoples (IPs) are among the poorest and most marginalized, although they live in regions with vast natural resources. The lack of representation of IPs in official surveys and administrative data prevents an accurate assessment of their living conditions and the socio-economic challenges they face. This silences their voice, obscures state accountability towards them, and limits their agency to take on a more active role in society. The few available data and anecdotal evidence reveal that IPs face important inequalities of opportunity in several human development dimensions, which are likely aggravated by the COVID-19 pandemic. However, the extent of these inequalities is not well understood, due to scant data and research on IPs. The lack of surveys with information on ethnicity has also made it difficult to examine the type and extent of inequalities among and within ethnic groups in the country, as well as the impact of intersectionality with gender, disability, and place of residence on their inclusion. This represents a significant challenge when creating public policy at the national level or poverty reduction programs at the local level, as IPs remain unnoticed, unaccounted for, and ultimately deprived of their rights and any real benefit.

Therefore, reliable data on IPs is urgently needed, particularly in this COVID-19 era where IPs can be disproportionately disadvantaged due to legacies of inequality and exclusion. Hence, to collect data and inform evidence-based policy/decision making to better target the needs of IPs, the World Bank commissioned this first ever IP-specific household (HH) survey in Philippines to Philippine Survey and Research Center, Inc. (PSRC).

The main objective of this quantitative household survey is to improve the current understanding about the Indigenous Peoples (IPs) population in the Philippines, and eventually, craft strategies when addressing inequality or representation of the group. Specifically, the study aims to: 1. Collect as much data and inform evidence-based policy/decision making to better target the needs of IPs; 2. Gauge a better view/understanding of the IPs’ poverty, socio-economic condition and the exercise of their rights; 3. Add current knowledge into the ongoing World Bank Advisory Services and Analytics on the Indigenous Peoples of the Philippines.

Geographic coverage

Selected IP areas in the Philippines

Analysis unit

Indigenous Peoples (IPs) and Non-Indigenous Peoples (NIPs) with the following specifications: • Male/Female • 18 years old and above

Kind of data

Sample survey data [ssd]

Sampling procedure

Stratified multi-stage area probability sampling was employed as follows: • Stratification: The sample was stratified by region and by locale (i.e., urban/rural) • First Stage: Independent random selection of PSUs (barangays) within the strata • Second Stage: Selection of SSUs (households) within the sampled PSUs

A household is defined as a social unit consisting of a person or a group of persons who sleep in the same housing unit and have a common arrangement in the preparation and consumption of food. Household is often comprised of individuals related by blood . Other members of households not related to the household head by blood such as helper, borders, and non relatives can be included as member of the household as long they prepare and consume food together and do not go home to the fa mily more than once in a week. The domain was the Philippines’ 17 administrative regions. Using the Indigenous Peoples (IP) household population from the 2020 Census, the following information were computed: • Proportion of IP household population from Census for each region • Proportion of each region out of total IP household population

To manage cost and timings, sampling coverage was focused on regions greater than or about 3% from both information above and IP household population of at least 250,000. The 2,400 sample was then split into these regions to arrive at the desired area cuts: • CAR • Other Selected Luzon Regions (Cagayan Valley, MIMAROPA) • Western Visayas • Other Mindanao Regions (Zamboanga Peninsula, Northern Mindanao, Davao, SOCCSKSARGEN, CARAGA) • BARMM

From the sample of 2,400, there were 240 PSUs across the 10 covered regions. The 240 PSUs covered were split proportionately across the 10 regions using the IP household population. The table below shows the sampling breakdown at regional level.

Mode of data collection

Face-to-face [f2f]

Research instrument

Available in the English language but conducted in either English or Tagalog

Response rate

To achieve 2,400 completed interviews, 12,131 households were approached/ knocked. Of the 12,131 households knocked, 2,273 refused, 3,028 gave no reply or door locked, and 4,430 were not eligible given the specific requirements that we were looking for. The response rate among eligible interviews is 51%. Response rate is higher in Luzon and lowest in Mindanao.

GLM of daily inflow of other goods by HH characteristics.

GLM of daily outflow of food by HH characteristics.

GLM of daily outflow of other goods by HH characteristics.

a. b. GLM of mean outflow of all goods over sample period from HH X to HH Y.

GLM of daily receiving (inflow) of all goods by HH characteristics.

As of November 2021, about 103 inmates worked as housekeepers, housewives, or caretakers in the Davao Prison and Penal Farm in the Philippines. On the other hand, 54 inmates in the prison facility used to be businessman or businesswoman. The Davao Prison and Penal Farm is located in Davao province of Mindanao, which has a population of around 1.6 million.