This statistic shows the median age of the population in Cambodia from 1950 to 2100. The median age is the age that divides a population into two numerically equal groups; that is, half the people are younger than this age and half are older. It is a single index that summarizes the age distribution of a population. In 2020, the median age of the Cambodian population was 25.1 years.

Over the last two observations, the life expectancy has significantly increased in all gender groups Comparing the two different gender groups for the year 2022, the 'life expectancy of women at birth' leads the ranking with 72.62 years. Contrastingly, 'life expectancy of men at birth' is ranked last, with 67.12 years. Their difference, compared to life expectancy of women at birth, lies at 5.5 years. Life expectancy at birth refers to the number of years that the average newborn can expect to live, providing that mortality patterns at the time of their birth do not change thereafter.Find further similar statistics for other countries or regions like UAE and The Gambia.

Cambodia KH: Life Expectancy at Birth: Total data was reported at 69.896 Year in 2022. This records an increase from the previous number of 69.584 Year for 2021. Cambodia KH: Life Expectancy at Birth: Total data is updated yearly, averaging 55.793 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 70.692 Year in 2019 and a record low of 11.995 Year in 1975. Cambodia KH: Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Social: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision; or derived from male and female life expectancy at birth from sources such as: (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;

In 2022, the total life expectancy at birth in Cambodia remained nearly unchanged at around 69.9 years. Life expectancy at birth refers to the expected lifespan of the average newborn, providing that mortality patterns at the time of birth in the given region do not change thereafter.Find more statistics on other topics about Cambodia with key insights such as rate of children immunized against measles in the age group of 12 to 23 months, death rate, and infant mortality rate.

Abstract

The 2021-22 Cambodia Demographic and Health Survey (2021-22 CDHS) was implemented by the National Institute of Statistics (NIS) in collaboration with the Ministry of Health (MoH). Data collection took place from September 15, 2021, to February 15, 2022.

The primary objective of the 2021-22 CDHS is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the survey collected information on fertility, awareness and use of family planning methods, breastfeeding practices, nutritional status of women and children, maternal and child health, adult and childhood mortality, women’s empowerment, domestic violence, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections (STIs), and other health-related issues such as smoking.

The information collected through the 2021-22 CDHS is intended to assist policymakers and program managers in evaluating and designing programs and strategies for improving the health of Cambodia’s population. The survey also provides data on indicators relevant to the Sustainable Development Goals (SDGs) for Cambodia.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49
• Man age 15 to 49

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, all men age 15-49, and all children aged 0-4 resident in the household.

Kind of data

Sample survey data [ssd]

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Four questionnaires were used in the 2021-22 CDHS: the Household Questionnaire, the Woman’s Questionnaire, the Man’s Questionnaire, and the Biomarker Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to Cambodia. In addition, a self-administered Fieldworker Questionnaire collected information about the survey’s fieldworkers.

Cleaning operations

The processing of the 2021-22 CDHS data began as soon as the fieldwork started. When data collection was completed in each cluster, the electronic data files were transferred via the IFSS to the NIS central office in Phnom Penh. The data files were registered and checked for inconsistencies, incompleteness, and outliers. Errors and inconsistencies were communicated to the field teams for review and correction. Secondary editing, done by NIS data processors, was carried out in the central office and included resolving inconsistencies and coding open-ended questions. The paper Biomarker Questionnaires were collected by field coordinators and then compared with the electronic data files to assess whether any inconsistencies arose during data entry. Data processing and editing were carried out using the CSPro software package. The concurrent data collection and processing offered an advantage because it maximized the likelihood of the data being error-free. Timely generation of field check tables allowed for effective monitoring. The secondary editing of the data was completed in March 2022.

Response rate

A total of 21,270 households were selected for the CDHS sample, of which 20,967 were found to be occupied. Of the occupied households, 20,806 were successfully interviewed, yielding a response rate of 99%. In the interviewed households, 19,845 women age 15-49 were identified as eligible for individual interviews. Interviews were completed with 19,496 women, yielding a response rate of 98%. In the subsample of households selected for the male survey, 9,079 men age 15-49 were identified as eligible for individual interviews and 8,825 were successfully interviewed, yielding a response rate of 97%.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors are errors that were made during data collection and data processing such as failure to locate and interview the correct household, misunderstanding of the questions by either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2021-22 Cambodia Demographic and Health Survey (CDHS) to minimize this type of error, nonsampling errors are impossible to eliminate completely and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2021-22 CDHS is only one of many possible samples that could have been selected from the same population, using exactly the same design. Each of those samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2021-22 CDHS sample was the result of a multistage stratified design, and, consequently, it was necessary to use more complex formulas. The computer software used to calculate sampling errors for the 2021-22 CDHS was an SAS program. This program used the Taylor linearization method for estimate variances for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.

A more detailed description of estimates of sampling errors are presented in APPENDIX B of the survey report.

Data appraisal

Data Quality Tables

• Household age distribution
• Age distribution of eligible and interviewed women
• Age distribution of eligible and interviewed men
• Age displacement at age 14/15
• Age displacement at age 49/50
• Pregnancy outcomes by years preceding the survey
• Completeness of reporting
• Height and weight data completeness and quality for children
• Height measurements from random subsample of measured children
• Interference in height and weight measurements of children
• Interference in height and weight measurements of women
• Heaping in anthropometric measurements for children (digit preference)
• Observation of handwashing facility
• School attendance by single-year age
• Vaccination cards photographed
• Number of enumeration areas completed by month and province
• Sibship size and sex ratio of siblings
• Pregnancy-related mortality trends
• Pregnancy-related mortality

See details of the data quality tables in Appendix C of the final report.

Cambodia KH: Age Dependency Ratio: % of Working-Age Population: Old data was reported at 9.325 % in 2023. This records an increase from the previous number of 9.042 % for 2022. Cambodia KH: Age Dependency Ratio: % of Working-Age Population: Old data is updated yearly, averaging 5.834 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 9.325 % in 2023 and a record low of 4.916 % in 1997. Cambodia KH: Age Dependency Ratio: % of Working-Age Population: Old data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.;World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2024 Revision.;Weighted average;

Cambodia KH: Life Expectancy at Birth: Male data was reported at 67.117 Year in 2022. This records an increase from the previous number of 66.819 Year for 2021. Cambodia KH: Life Expectancy at Birth: Male data is updated yearly, averaging 53.234 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 68.400 Year in 2019 and a record low of 10.054 Year in 1975. Cambodia KH: Life Expectancy at Birth: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Social: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;

In 2025, the average age in the Philippines is expected to reach 26.1 years, increasing to roughly 46.1 years of age by 2100. This is a significant rise, considering that until the year 2000, the country’s median age was under 20 years old. From 2011 to 2021, the share of very young people decreased, while the age brackets for people aged 15-64 and 65 or older grew. This shift in age structure implies a lower birth rate, as well as an aging population. Birth and family size As of 2020, the birth rate in the Philippines is just under 22 children born per thousand inhabitants each year, about 3 less than in the decade before. The fertility rate has likewise been decreasing since 2007, but is still higher than the Oceania region’s average as of 2020. Fewer newborns each year contributes to a lower median age. High mortality in the Philippines is preventable Life expectancy is also factor in a rising median age, although increasing only marginally in the Philippines compared with neighboring countries Cambodia, Myanmar, and Laos (but still higher than in these countries). The life expectancy in the Philippines was just under 72 years of age in 2017, and roughly three years shorter than in Thailand or Vietnam. One factor that lowers the life expectancy is the high mortality rate due to noncontagious diseases, such as cancer and heart and respiratory problems, accounting for more than a quarter of early deaths from ages 30 to 70 in the Philippines.

Cambodia Total Working Age Population data was reported at 10,825.000 Person th in 2021. This records an increase from the previous number of 10,316.000 Person th for 2020. Cambodia Total Working Age Population data is updated yearly, averaging 10,570.500 Person th from Jun 2020 (Median) to 2021, with 2 observations. The data reached an all-time high of 10,825.000 Person th in 2021 and a record low of 10,316.000 Person th in 2020. Cambodia Total Working Age Population data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Cambodia – Table KH.G011: Working Age Population: Cambodia Socio-Economic Survey (CSES).

In 2022, the total fertility rate in Cambodia remained nearly unchanged at around 2.32 children per woman. Yet 2022 saw the lowest fertility rate in Cambodia with 2.32 children per woman. The total fertility rate is the average number of children that a woman of childbearing age (generally considered 15 to 44 years) can hypothetically expect to have throughout her reproductive years. As fertility rates are estimates (similar to life expectancy), they refer to a hypothetical woman or cohort, and estimates assume that current age-specific fertility trends would remain constant throughout this person's reproductive years.Find more statistics on other topics about Cambodia with key insights such as rate of children immunized against measles in the age group of 12 to 23 months, number of refugees residing, and total life expectancy at birth.

This statistic shows the life expectancy at birth in the ASEAN countries in Asia from 2012 to 2022. The ASEAN (Association of Southeast Asian Nations) countries are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam. In 2022, the average life expectancy at birth in Cambodia was 69.9 years.

Abstract

The 2005 Cambodia Demographic and Health Survey (CDHS) is the second nationally representative survey conducted in Cambodia on population and health issues. It uses the same methodology as its predecessor, the 2000 Cambodia Demographic and Health Survey, allowing policymakers to use the two surveys to assess trends over time. The primary objective of the CDHS is to provide the Ministry of Health, Ministry of Planning (MOP), and other relevant institutions and users with updated and reliable data on infant and child mortality, fertility preferences, family planning behavior, maternal mortality, utilization of maternal and child health services, health expenditures, women’s status, domestic violence, and knowledge and behavior regarding HIV/AIDS and other sexually transmitted infections. This information contributes to policy decisions, planning, monitoring, and program evaluation for the development of Cambodia at both national- and local-government levels.The long-term objectives of the survey are to technically strengthen the capacity of the National Institute of Public Health (NIPH), Ministry of Health, and the National Institute of Statistics (NIS) of MOP for planning, conducting, and analyzing the results of further surveys.

Geographic coverage

The sample was designed to provide estimates of the indicators at the national level, for urban and rural areas, and for 19 domains: 1.Banteay Mean Chey, 2.Kampong Cham, 3.Kampong Chhnang, 4.Kampong Speu, 5.Kampong Thom, 6.Kandal, 7.Phnom Penh, 8.Prey Veng, 9.Pursat, 10.Svay Rieng, 11.Takeo, 12.Kratie, 13.Siem Reap, 14.Otdar Mean Chey, 15. Battambang and Krong Pailin, 16. Kampot and Krong Kep, 17.Krong Preah Sihanouk and Kaoh Kong, 18.Preah Vihear and Steng Treng; and 19.Mondol Kiri and Rattanak Kiri.

Analysis unit

Household, individual (including women and men between the ages of 15 and 49 and children aged 5 and below)

Universe

The survey covered the whole resident population (regular household) , with the exception of homeless in Cambodia

Kind of data

Sample survey data [ssd]

Sampling procedure

TThe 2005 CDHS sample is a stratified sample selected in two stages. Stratification is achieved by separating every study domain into urban and rural areas. Areas are defined as urban or rural based on the classification in the 1998 GPC, provided by NIS. Therefore the 19 domains are stratified into 38 sampling strata in total. Samples are selected independently in every stratum, by a two-stage selection. This means that 38 independent samples were selected, one from each sampling stratum. Implicit stratifications were achieved at each of the lower geographical or administrative levels by sorting the sampling frame according to the geographical/administrative order and by using a probability proportional to the size selection in the first stage of sampling. The explicit and implicit stratifications together guarantee a better scattering of the sampled points. In the first stage of selection, 557 villages were selected with a probability proportional to the village size. The village size is the number of households in the village. After this selection and before the data collection, an updating operation was conducted over all of the 557 selected villages. The updating operation consisted of visits to every selected village. During the visits, records were made of every structure found on the ground; structures were identified by type (residential or not); number of households in each residential structure were identified; location map and a sketch map were drawn showing the boundaries of the village and the location of each structure. This important operation guaranteed the quality of the fieldwork and prevented nonsampling errors. A household list was set up for each selected village. The resulting lists of households served as the sampling frame for the selection of households in the second stage. Some of the selected villages were big. To minimize the task of household listing, villages with more than 300 households were segmented. A segment corresponds to an enumeration area (EA) that was created for the GPC 1998. Size and boundaries were well-defined and maps were available. Among segmented villages, only one EA was selected from the village with a selection probability proportional to the EA size. Household listing was conducted only in the selected EA. Therefore, a CDHS cluster is either a village or an EA. Detailed information on the sampling methodology is available in Appendix A to the Survey Report.

In the second stage of selection, a fixed number of 24 households were selected in every urban cluster, and 28 households were selected in every rural cluster. They were selected by an equal probability systematic sampling. The decision on number of households selected per cluster is a tradeoff between fieldwork efficiency and precision. All women ages 15-49 in the selected households were eligible for the interview. The advantages of this two-stage selection procedure are: 1. It is simple to implement and reduces possible nonsampling errors. 2. It is easy to locate the selected households, reducing nonsampling errors and nonresponse. 3. The interviewers interview only the households in the preselected dwellings. No allowance for replacement of dwellings prevents survey bias.

Sampling deviation

Creation of the 2005 CDHS sample was based on the objective of collecting a nationally representative sample of completed interviews with women and men between the ages of 15 and 49. To achieve a balance between the ability to provide estimates for all 24 provinces in the country and limiting the sample size, 19 sampling domains were defined, 14 of which correspond to individual

provinces and 5 of which correspond to grouped provinces.

• Fourteen individual provinces: Banteay Mean Chey, Kampong Cham, Kampong Chhnang, Kampong Speu, Kampong Thom, Kandal, Kratie, Phnom Penh, Prey Veng, Pursat, Siem Reap, Svay Rieng, Takeo, and Otdar Mean Chey;

• Five groups of provinces: Battambang and Krong Pailin, Kampot and Krong Kep, Krong Preah Sihanouk and Kaoh Kong, Preah Vihear and Steung Treng, Mondol Kiri, and Rattanak Kiri.

The sample of households was allocated to the sampling domains in such a way that estimates of indicators can be produced with known precision for each of the 19 sampling domains, for all of Cambodia combined, and separately for urban and rural areas of the country.

The sampling frame used for 2005 CDHS is the complete list of all villages enumerated in the 1998 Cambodia General Population Census (GPC) plus 166 villages which were not enumerated during the 1998 GPC, provided by the National Institute of Statistics (NIS). It includes the entire country and consists of 13,505 villages. The GPC also created maps that delimited the boundaries of every village. Of the total villages, 1,312 villages are designated as urban and 12,193 villages are designated as rural, with an average household size of 161 households per village. The survey is based on a stratified sample selected in two stages. Stratification was achieved by separating every reporting domain into urban and rural areas. Thus the 19 domains were stratified into a total of 38 sampling strata. Samples were selected independently in every stratum, by a two

stage selection. Implicit stratifications were achieved at each of the lower geographical or administrative levels by sorting the sampling frame according to the geographical/administrative order and by using a probability proportional to size selection at the first stage of selection.

(Please see the report of external resources)

Mode of data collection

Face-to-face [f2f]

Research instrument

There are three types of questionnaires used in the CDHS: the Household Questionnaire, the Individual Woman's Questionnaire, and the Individual Man's Questionnaire.

The households that have been scientifically selected to be included in the CDHS sample were visited and interviewed using a Household Questionnaire. The Household Questionnaire consisted of a cover sheet to identify the household and a form on which all members of the household and visitors were listed. Data collected about each household member were name, sex, age, education, and survival of parents for children under age 18 years, etc. The Household Questionnaire was used to collect information on housing characteristics such as type of water, sanitation facilities, quality of flooring, and ownership of durable goods.

The Household Questionnaire permitted the interviewer to identify women and men who were eligible for the Individual Questionnaire. Women ages 15-49 years in every selected household who are members of the household (those that usually live in the household) and visitors (those who do not usually live in the household but who slept there the previous night) were eligible to be interviewed with the individual Woman's Questionnaire.

After all of the eligible women in a household have been identified, female interviewers used the Woman's Questionnaire to interview the women. The Woman's Questionnaire collected information on the following topics:

 · socio-demographic characteristics

 · reproduction

 · birth spacing

 · maternal health care and breastfeeding

 · immunization and health of children

 · cause of death of children

 · marriage and sexual activity

 · fertility preferences

 · characteristics of the husband and employment activity of the woman

 · HIV/AIDS and other sexually transmitted infections

 · maternal mortality

 · women's status

 · household

The death rate in Cambodia saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 6.78 deaths per 1,000 inhabitants. With a decline of 0.1 deaths per 1,000 inhabitants (-1.46 percent), there is no significant change to 2021. The crude death rate is the annual number of deaths divided by the total population, expressed per 1,000 people.Find more statistics on other topics about Cambodia with key insights such as number of refugees residing, female smoking rate, and health expenditure as a share of gross domestic product.

Cambodia KH: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 24.500 % in 2021. This records a decrease from the previous number of 33.000 % for 2014. Cambodia KH: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 41.500 % from Dec 1996 (Median) to 2021, with 7 observations. The data reached an all-time high of 61.100 % in 1996 and a record low of 24.500 % in 2021. Cambodia KH: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

Cambodia KH: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data was reported at 14.600 % in 2021. This records a decrease from the previous number of 25.000 % for 2014. Cambodia KH: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data is updated yearly, averaging 28.100 % from Dec 1996 (Median) to 2021, with 7 observations. The data reached an all-time high of 38.800 % in 2000 and a record low of 14.600 % in 2021. Cambodia KH: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Social: Health Statistics. Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

Cambodia KH: Adjusted Net Enrollment Rate: Primary: % of Primary School Age Children data was reported at 90.690 % in 2018. This records a decrease from the previous number of 90.803 % for 2017. Cambodia KH: Adjusted Net Enrollment Rate: Primary: % of Primary School Age Children data is updated yearly, averaging 93.617 % from Dec 1997 (Median) to 2018, with 15 observations. The data reached an all-time high of 98.064 % in 2003 and a record low of 83.101 % in 1997. Cambodia KH: Adjusted Net Enrollment Rate: Primary: % of Primary School Age Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Social: Education Statistics. Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.;UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.;Weighted average;

Cambodia KH: Population: as % of Total: Female: Aged 0-14 data was reported at 28.879 % in 2023. This records a decrease from the previous number of 29.189 % for 2022. Cambodia KH: Population: as % of Total: Female: Aged 0-14 data is updated yearly, averaging 40.237 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 44.383 % in 1971 and a record low of 28.879 % in 2023. Cambodia KH: Population: as % of Total: Female: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Cambodia KH: Population: as % of Total: Male: Aged 65 and Above data was reported at 4.721 % in 2023. This records an increase from the previous number of 4.561 % for 2022. Cambodia KH: Population: as % of Total: Male: Aged 65 and Above data is updated yearly, averaging 2.728 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 4.721 % in 2023 and a record low of 2.130 % in 1997. Cambodia KH: Population: as % of Total: Male: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Population and Urbanization Statistics. Male population 65 years of age or older as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;

Cambodia KH: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 3.000 Ratio in 2019. This records a decrease from the previous number of 3.200 Ratio for 2018. Cambodia KH: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 8.700 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 23.200 Ratio in 1990 and a record low of 3.000 Ratio in 2019. Cambodia KH: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

Cambodia KH: Population: as % of Total: Female: Aged 15-64 data was reported at 63.970 % in 2023. This records an increase from the previous number of 63.888 % for 2022. Cambodia KH: Population: as % of Total: Female: Aged 15-64 data is updated yearly, averaging 56.344 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 64.189 % in 2013 and a record low of 52.304 % in 1971. Cambodia KH: Population: as % of Total: Female: Aged 15-64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.