Kung Ipinanganak Ka sa Pilipinas

Datos at sanggunian

Ito ang mga numerong ginamit sa simulation at ang pinagmulan nila. Ang mga bahagi ay nakasulat bilang decimal (0.1 = 10%). Ang mga bahaging walang estadistika (halimbawa, ang detalyadong sanhi ng kamatayan ayon sa edad) ay pinunan ng mga "Palagay ng simulation" sa ibaba.

AytemHalagaTaonSanggunian
Kabuuang populasyon112,729,4842024PSA 2024 Census of Population (POPCEN), declared official by Proclamation No. 973 (11 July 2025); as reported by Bernama/PNA
Mga ipinanganak sa isang taon1,358,9892024PSA OpenSTAT: Number of Registered Live Births by Month of Occurrence, Sex of the Child, and by Usual Residence of Mother, Philippines: 2024 (table 0031A1ABIC0)
Sex ratio sa kapanganakan (lalaki bawat 100 babae)1082024PSA OpenSTAT registered live births 2024 by sex (table 0031A1ABIC0); computed from 705,714 male / 653,275 female
Inaasahang haba ng buhay (lalaki)66.82023WHO Global Health Observatory: Life expectancy at birth (years) (WHOSIS_000001)
Inaasahang haba ng buhay (babae)74.32023WHO Global Health Observatory: Life expectancy at birth (years) (WHOSIS_000001)
Life table (posibilidad ng kamatayan ayon sa edad)(talahanayan)2023WHO Global Health Observatory, Life tables: nqx - probability of dying between ages x and x+n (LIFE_0000000030)
Infant mortality (bawat 1,000 ipinanganak)21.72024World Bank WDI: Mortality rate, infant (per 1,000 live births) (SP.DYN.IMRT.IN) - UN IGME estimate
Under-5 mortality (bawat 1,000 ipinanganak)26.52024World Bank WDI: Mortality rate, under-5 (per 1,000 live births) (SH.DYN.MORT) - UN IGME estimate
Maternal mortality (bawat 100,000 ipinanganak)842023World Bank WDI: Maternal mortality ratio (modeled estimate, per 100,000 live births) (SH.STA.MMRT) - UN MMEIG modeled estimate
Bahagi ng bawat rehiyon(talahanayan)2024PSA OpenSTAT registered live births 2024 by usual residence of mother (table 0031A1ABIC0); urban_share and population_2024 from PSA 2024 POPCEN (table 0241A6DPUP1); poverty_incidence = 2023 poverty incidence among population (PSA OpenSTAT table 0031F3DF020)
Poverty incidence (populasyon)0.1552023PSA 2023 Full Year Official Poverty Statistics (FIES), Table 2 Poverty Incidence Among Population (OpenSTAT 0031F3DF020)
Gini coefficient0.39092023PSA 2023 Family Income and Expenditure Survey (FIES), Table 5 Gini Coefficient (OpenSTAT 0051E3AGCF0)
Bahagi ng kita ayon sa decile0.041 / 0.052 / 0.059 / 0.068 / 0.077 / 0.087 / 0.1 / 0.118 / 0.145 / 0.2542023PSA 2023 FIES, Table 11 Total Annual Family Income percent distribution by per capita income decile (OpenSTAT 0111E3AIED0)
Completion rate sa elementarya0.95852022UNESCO Institute for Statistics: Completion rate, primary education (CR.1), household-survey based
Completion rate sa Junior High School0.84162022UNESCO Institute for Statistics: Completion rate, lower secondary education (CR.2)
Completion rate sa Senior High School0.67012022UNESCO Institute for Statistics: Completion rate, upper secondary education (CR.3)
Gross enrollment rate sa kolehiyo0.47412024World Bank WDI: School enrollment, tertiary (% gross) (SE.TER.ENRR) - UNESCO UIS
Bahagi ng mga adulto na nakapagtapos ng kolehiyo0.18082022World Bank WDI: Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) (SE.TER.CUAT.BA.ZS) - population 25+, UNESCO UIS
Karaniwang taon ng pag-aaral8.92020UNESCO Institute for Statistics: Mean years of schooling (ISCED 1 or higher), population 25+ years (MYS.1T8.AG25T99)
Labor force participation rate0.64062025PSA Labor Force Survey, Rates of Key Employment Indicators, 2025 Annual (OpenSTAT 0021B3FKEI2)
Unemployment rate0.04192025PSA Labor Force Survey, Rates of Key Employment Indicators, 2025 Annual (OpenSTAT 0021B3FKEI2)
Underemployment rate0.11882025PSA Labor Force Survey, Rates of Key Employment Indicators, 2025 Annual (OpenSTAT 0021B3FKEI2); share of employed persons
Bahagi ng manggagawa ayon sa sektoragriculture: 0.205 / industry: 0.1775 / services: 0.61742025PSA Labor Force Survey, Number of Employed Persons by Major Industry Group, 2025 Annual (OpenSTAT 0101B3FEMP2); shares computed from counts
Mga OFW2,190,0002024PSA 2024 Survey on Overseas Filipinos ('Results of the 2024 Overseas Filipino Workers', released Dec 2025), as reported by GMA News
Pangunahing destinasyon ng OFWサウジアラビア Saudi Arabia 0.219 / アラブ首長国連邦 United Arab Emirates 0.124 / クウェート Kuwait 0.063 / 香港 Hong Kong 0.063 / カタール Qatar 0.053 / シンガポール Singapore 0.0452024PSA 2024 Survey on Overseas Filipinos special release ('Results of the 2024 Overseas Filipino Workers')
Median na edad sa unang pag-aasawa (babae)22.82022PSA & ICF, 2022 Philippine National Demographic and Health Survey (NDHS), via DHS Program API - median age at first marriage, women 25-49 (MA_AAFM_W_M2B)
Median na edad sa unang pag-aasawa (lalaki)24.72003NSO & ORC Macro, 2003 Philippines National Demographic and Health Survey, via DHS Program API - median age at first marriage, men 25-49 (MA_AAFM_M_M2B)
Bahagi ng babaeng nag-asawa bago mag-180.0942022PSA & ICF, 2022 Philippine National Demographic and Health Survey (NDHS), via DHS Program API - women age 20-24 first married by exact age 18 (MA_MBAY_W_B18)
Total fertility rate1.92022PSA & ICF, 2022 Philippine National Demographic and Health Survey (NDHS), via DHS Program API - total fertility rate 15-49 (FE_FRTR_W_TFR)
Bahagi ng babaeng 15–19 na nabuntis na0.0542022PSA & ICF, 2022 Philippine National Demographic and Health Survey (NDHS), via DHS Program API - women 15-19 who have ever been pregnant (FE_TNPG_W_EPG)
Pangunahing sanhi ng kamatayanIschaemic heart diseases 虚血性心疾患 134074 0.191 / Neoplasms 新生物(がん等) 77504 0.1104 / Cerebrovascular diseases 脳血管疾患 68729 0.0979 / Pneumonia 肺炎 47260 0.0673 / Diabetes mellitus 糖尿病 43989 0.0627 / Hypertensive diseases 高血圧性疾患 38088 0.0543 / Chronic lower respiratory diseases 慢性下気道疾患 25035 0.0357 / Respiratory tuberculosis 呼吸器結核 23364 0.0333 / Other heart diseases その他の心疾患 20552 0.0293 / Remainder of diseases of the genitourinary system その他の腎尿路生殖器系の疾患 18946 0.0272024PSA OpenSTAT: Number of Registered Deaths by Month of Occurrence and Cause of Death, Philippines: 2024 (table 0141A1BDEE8, ICD-10 tabulation list)
Bahagi ng adultong naninigarilyomale: 0.354 / female: 0.0442024World Bank WDI: Prevalence of current tobacco use, % of adults 15+ (SH.PRV.SMOK.MA / SH.PRV.SMOK.FE) - WHO global tobacco trends estimates
TB incidence (bawat 100,000)6252024World Bank WDI: Incidence of tuberculosis (per 100,000 people) (SH.TBS.INCD) - WHO Global Tuberculosis Report
Kaso ng dengue bawat taon209,6312025Department of Health data as reported by The Philippine Star (6 Sep 2026)
Bahagi ng out-of-pocket na gastos sa kalusugan0.44362023World Bank WDI: Out-of-pocket expenditure (% of current health expenditure) (SH.XPD.OOPC.CH.ZS) - WHO Global Health Expenditure Database
Bahagi ng adultong may altapresyon0.3382019WHO Global Health Observatory: Prevalence of hypertension among adults aged 30-79 years, age-standardized (NCD_HYP_PREVALENCE_A)
Homicide rate (bawat 100,000)4.352023World Bank WDI: Intentional homicides (per 100,000 people) (VC.IHR.PSRC.P5) - UNODC
Bilang ng bagyong pumapasok sa PAR bawat taon20—PAGASA (DOST): Tropical Cyclone Information
GDP per capita (PPP)12,5772025World Bank WDI: GDP per capita, PPP (current international $) (NY.GDP.PCAP.PP.CD) (current international $)
Remittance bilang bahagi ng GDP0.08532025World Bank WDI: Personal remittances, received (% of GDP) (BX.TRF.PWKR.DT.GD.ZS)
Minimum na sahod sa NCR bawat araw (piso)7552026DOLE / RTWPB-NCR Wage Order No. NCR-28 (effective 26 Sep 2026), as reported by GMA News

Ang panahon ng kamatayan ay sumusunod sa life table ayon sa kasarian ng WHO Global Health Observatory, Life tables: nqx - probability of dying between ages x and x+n (LIFE_0000000030) (2023).

Mga palagay ng simulation

Hindi ito estadistika mismo, kundi mga halagang inilagay para mailarawan ang takbo ng buhay.

Mga tala tungkol sa datos