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.

Cambodia KH: Population: Male: Ages 30-34: % of Male Population data was reported at 8.276 % in 2023. This records a decrease from the previous number of 8.351 % for 2022. Cambodia KH: Population: Male: Ages 30-34: % of Male Population data is updated yearly, averaging 6.290 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 8.395 % in 2019 and a record low of 4.182 % in 1981. Cambodia KH: Population: Male: Ages 30-34: % of Male Population 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 between the ages 30 to 34 as a percentage of the total male population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

This bar chart displays median age (year) by date using the aggregation average, weighted by population in Cambodia. The data is about countries per year.

Cambodia KH: Age Dependency Ratio: % of Working-Age Population: Young data was reported at 47.101 % in 2023. This records a decrease from the previous number of 47.750 % for 2022. Cambodia KH: Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 79.017 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 91.121 % in 1995 and a record low of 47.101 % in 2023. Cambodia KH: Age Dependency Ratio: % of Working-Age Population: Young 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, young, is the ratio of younger dependents--people younger than 15--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: Population ages 65 and above, percent of total: The latest value from 2024 is 6.16 percent, an increase from 5.96 percent in 2023. In comparison, the world average is 10.43 percent, based on data from 196 countries. Historically, the average for Cambodia from 1960 to 2024 is 3.47 percent. The minimum value, 2.56 percent, was reached in 1997 while the maximum of 6.16 percent was recorded in 2024.

This dataset is about countries per year in Cambodia. It has 64 rows. It features 3 columns: country, and median age.

This scatter chart displays population (people) against median age (year) in Cambodia. The data is filtered where the date is 2021. The data is about countries per year.

Cambodia KH: Age Dependency Ratio: % of Working-Age Population data was reported at 56.425 % in 2023. This records a decrease from the previous number of 56.792 % for 2022. Cambodia KH: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 84.895 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 96.296 % in 1995 and a record low of 56.425 % in 2023. Cambodia KH: Age Dependency Ratio: % of Working-Age Population 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 is the ratio of dependents--people younger than 15 or 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;Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.

The total population of Cambodia was estimated at approximately 17.18 million people in 2024. Following a continuous upward trend, the total population has risen by around 9.44 million people since 1986. Between 2024 and 2030, the total population will rise by around 1.06 million people, continuing its consistent upward trajectory.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

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;

This scatter chart displays male population (people) against median age (year) in Cambodia. The data is filtered where the date is 2021. The data is about countries per year.

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.

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 KH: Population: Female: Ages 25-29: % of Female Population data was reported at 7.733 % in 2023. This records a decrease from the previous number of 8.010 % for 2022. Cambodia KH: Population: Female: Ages 25-29: % of Female Population data is updated yearly, averaging 8.024 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 9.337 % in 1993 and a record low of 6.323 % in 2002. Cambodia KH: Population: Female: Ages 25-29: % of Female Population 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 25 to 29 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

This table presents the Singulate Mean Age at Marriage (SMAM) for males and females in Cambodia for the years 2019 and 2024, disaggregated by urban and rural residence. It highlights the gender gap in marriage age and tracks its change over time.

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.

This scatter chart displays individuals using the Internet (% of population) against median age (year) in Cambodia. The data is filtered where the date is 2021. The data is about countries per year.

Cambodia KH: Population: as % of Total: Aged 0-14 data was reported at 30.111 % in 2023. This records a decrease from the previous number of 30.454 % for 2022. Cambodia KH: Population: as % of Total: Aged 0-14 data is updated yearly, averaging 42.740 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 46.420 % in 1995 and a record low of 30.111 % in 2023. Cambodia KH: Population: as % of Total: 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. Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;

The proportions of teen age marriage among men and women are nearly the same both 2019 and 2024 at the national level. However, in the urban areas there is a marginal increase that is matched by a marginal decrease in the rural areas. For both men and women, the proportion married among adolescents aged 15-19 in rural areas was higher than that in urban areas. The proportion ever married among women aged 20-24 in rural areas was almost double that in urban areas.

Cambodia KH: Population: as % of Total: Aged 65 and Above data was reported at 5.961 % in 2023. This records an increase from the previous number of 5.767 % for 2022. Cambodia KH: Population: as % of Total: Aged 65 and Above data is updated yearly, averaging 3.146 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 5.961 % in 2023 and a record low of 2.557 % in 1997. Cambodia KH: Population: as % of Total: 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. Population ages 65 and above as a percentage of the total 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;