The total population of Cambodia was estimated at 17.18 million people in 2024. Following a continuous upward trend, the total population has risen by 9.44 million people since 1986. Between 2024 and 2030, the total population will rise by 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.

The total population in Cambodia was estimated at 17.6 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Cambodia Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Cambodia KH: Population Density: People per Square Km data was reported at 97.449 Person/sq km in 2022. This records an increase from the previous number of 96.161 Person/sq km for 2021. Cambodia KH: Population Density: People per Square Km data is updated yearly, averaging 44.754 Person/sq km from Dec 1961 (Median) to 2022, with 62 observations. The data reached an all-time high of 97.449 Person/sq km in 2022 and a record low of 28.829 Person/sq km in 1979. Cambodia KH: Population Density: People per Square Km 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 density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.;Food and Agriculture Organization and World Bank population estimates.;Weighted average;

Abstract

The Cambodia Inter-censal Population Survey, 2013 was conducted with the following objectives:

i. To strengthen the capacity of the staff of NIS and the provincial and district staff in demographic data collection; and

ii. To provide information to government and data users on population and household characteristics such as household size, age, sex, marital status, literacy and educational characteristics, economic characteristics, fertility, mortality and migration as well as housing and household characteristics and amenities. This should be useful to the government to evaluate the Rectangular Strategy Plan in achieving its intended goals. It will help outline priority goals and strategies to reduce poverty rapidly, and develop Cambodia Millennium Development Goals (CMDG’s) and other Socioeconomic Development Goals. It will also be useful to the National Institute of Statistics (NIS) in improving data availability and accessibility and in utilization of data until the 2018 census information is made available.

Geographic coverage

National Provincial

Analysis unit

Units of Analysis: 1. Individual 2. Household 3. Province

Universe

Population and housing units of all regular households in Cambodia excluding special settlements and institutional households

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The draft questionnaires for the CIPS 2013 were more or less on the 2008 General Census pattern. Some modifications, however, were made by adding new questions on

(i) whether children aged 0-14 living with own mother (ii) whether a person's mother is alive and (iii) details of deaths in households in the last one year with focus on maternal mortality.

Questions mentioned at (i) and (ii) were intended respectively to estimate fertility (by application of own child method) and mortality (by application of orphan hood method). The questions to be included were carefully considered by a Working Group of Cambodia Inter-Censal Population Survey 2013, whose members were mostly from Ministries, NGOs and International Agencies. The Questionnaires were tested twice in the field (both urban and rural) by NIS staff in November 2012. The purpose of the pre-test was to have a full-dressed rehearsal of the whole process and particularly to test the questions in the field so as to make corrections in wording or definitions and to estimate the time taken for enumeration area mapping, house listing, sampling and enumeration of selected household. Based on the pre-test experience the questionnaires were modified and finalized.

Two types of questionnaires were used in the CIPS 2013: Form A House-list and Form B Household Questionnaire.

The Form A was used to collect information on buildings containing one or more households during the preliminary round preceding survey night (March 3, 2013). The information collected related to: construction material of wall, roof and floor, whether it is a wholly or partly residential building, number of households within the building, name and sex of head of household and number of persons usually living in the household.

The Form B, which has five parts, was used for survey enumeration in the period closely following the reference time.

In Part I, information on usual members of the selected household present on survey night, visitors present as well as usual members absent on survey night, was collected.

Part II was used to collect information on each usual member of the household and each visitor present on survey night. The information collected included: full name, relationship to household head, sex, age, natural mother, child aged 0-14 living with own mother, marital status, age at first marriage, mother tongue, religion, place of birth, previous residence, duration of stay, reason for migration, literacy, full time education and economic characteristics.

Part III was used to collect information on females of reproductive age (15-49) as well as children born to these women.

The information collected in part IV related to household conditions and facilities: main source of light, main cooking fuel used, whether toilet facility is available, main source of drinking water and number of living rooms occupied by household.

Part V was used to record the following information in respect of deaths in the household within the last one year:- name of deceased, sex, relationship to head of household, age at death, whether the death has been registered with the civil authorities or not, the cause of death and maternal mortality information.

Cleaning operations

The completed records (Forms A, Form B, Form I, Form II, Map, and other Forms) were systematically collected from the provinces by NIS Survey Coordinators on the due date and submitted to the team receptionist at NIS. NIS Survey Coordinators formed into three teams of two persons were trained from March 7 to 10 to receive and arrange the completed forms and maps for processing after due checking form the field.

Control forms were prescribed by DUC to record every form without any omission. These records were carefully checked, registered and stored in the record room. Editing and coding of the questionnaires were done manually, after which the questionnaires were submitted to the computer section for further processing.

The instruction for editing and coding were revised and expanded. Training on editing and coding was conducted for senior staff, who in turn had to train other editors and coders. The purpose of the editing process was to remove matters of obvious inconsistency, incorrectness and incompleteness, and to improve the quality of data collected. Coding had to be done very carefully in respect of birthplace and previous place of residence by using the district and province codes, and occupation and industry by using the UN International Standard Classification of Occupation (ISCO) and the International Standard Industrial Classification (ISIC) respectively. For these purposes, NIS utilized staff with sound knowledge and experience of the survey and its concepts. Those who worked as trainers or supervisors were put on this job supplemented by well-trained and tested staff. Editing and Coding was done by two teams (each with six editors and one team leader); so that one of the editors who was trained specifically in occupation/industry coding should do that coding for columns 20 and 22 of part 2 household questionnaire. The work of team members was completely checked by the Team leaders. The training on editing and coding was done from 23 to 26 March. The manual processing commenced on March 29 and was completely done by the end of May 2013.

Response rate

Response rate is 95 per cent.

Sampling error estimates

Calculations of sampling errors have been made for some estimates of totals, means and proportions for variables in Form B (annex 3).

The software used for the calculations is STATA 8.0. For the calculations presented here we have assumed that stratification was done on provinces and urban/rural (an implicit57 stratification on province and urban/rural was used for the sample selection).

In seven of the 45 strata there are only one PSU (EA) selected. This causes a problem for the standard error calculations. It is not possible get standard errors in these strata. In these strata we have split the sole EA in two parts and defined the parts as two PSUs.

The standard errors are generally rather small for estimates for major domains like urban/rural and men/women. The coefficients of variation (CV)1 are below 1% in many cases. The coefficients of variation are substantially higher for provincial estimates, especially for provinces with a small sample (e.g. province19). Design effects (Deff) have been calculated for some estimates. They are, as expected, quite low for estimates of demographic characteristics. They are considerably higher for estimates of socio-economic characteristics like employment status (also as expected). For the demographic characteristics "age at first marriage" and "marital status" we find design effects below 5 for major domains like men/women and urban/rural. The socio-economic characteristics are typically more "clustered" than the demographic characteristics, this shows up in generally higher design effects. For the major domain estimates we find design effects up to 20 and occasionally very high values of 200 or more. These "freak" values occur when the sample in terms of number of PSUs is small and when the PSU averages (or proportions) show large variation. One example is the design effect of 285 for the estimate of proportion of government employees in urban areas. The proportion is varying substantially between the 102 PSUs in the domain, the range is from 0 % to75%.

The population density in Cambodia stood at 97.45 people in 2022. Between 1961 and 2022, the population density rose by 65.89 people, though the increase followed an uneven trajectory rather than a consistent upward trend.

Complete population data for Cambodia showing how many people live in Cambodia from 1960 to 2024

Cambodia KH: Birth Rate: Crude: per 1000 People data was reported at 20.752 Ratio in 2023. This records a decrease from the previous number of 21.279 Ratio for 2022. Cambodia KH: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 33.607 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 51.415 Ratio in 1984 and a record low of 19.576 Ratio in 1977. Cambodia KH: Birth Rate: Crude: per 1000 People 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. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.;(1) United Nations Population Division. World Population Prospects: 2024 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics; (4) United Nations Statistics Division. Population and Vital Statistics Reprot (various years).;Weighted average;

In 2023, the share of rural population in Cambodia was 74.43 percent. Between 1960 and 2023, the figure dropped by 15.29 percentage points, though the decline followed an uneven course rather than a steady trajectory.

This statistic shows the age structure in Cambodia from 2013 to 2023. In 2023, about 30.11 percent of Cambodia's total population were aged 0 to 14 years.

Cambodia KH: Death Rate: Crude: per 1000 People data was reported at 6.390 Ratio in 2023. This records an increase from the previous number of 6.323 Ratio for 2022. Cambodia KH: Death Rate: Crude: per 1000 People data is updated yearly, averaging 12.052 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 93.923 Ratio in 1978 and a record low of 6.010 Ratio in 2014. Cambodia KH: Death Rate: Crude: per 1000 People 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. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.;(1) United Nations Population Division. World Population Prospects: 2024 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics; (4) United Nations Statistics Division. Population and Vital Statistics Reprot (various years).;Weighted average;

This dataset provides a detailed breakdown of Cambodia's population distribution by place of birth and migration status for the years 2019 and 2024. It is disaggregated by sex and categorized into groups indicating whether people were born in Cambodia (either in their current province or another province) or outside Cambodia (from Asia & Pacific or other countries). The data reveals the proportion of people who were born in different geographical locations, allowing analysis of migration trends and demographic patterns across different time periods.

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;

Analysis unit

Persons and households

UNITS IDENTIFIED: - Dwellings: no - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: no

UNIT DESCRIPTIONS: - Dwellings: A building is generally a single structure on the ground. Sometime a building is made up of more than one component unit which are used or likely to be used as dwellings (residences) or as establishments such as shops, business houses, offices, factories, workshops, work sheds, schools, places of entertainment and places of worship or as godowns, stores, animal sheds, etc. It is also possible that buildings which have component units may be used for a combination of purposes such as shop-cum-residence, workshop-cum-residence, office-cum- residence, etc. - Households: A group of people who live together and eat from the same kitchen. This includes those who live together but have a special job that prevents them from eating with the other members. - Group quarters: no

Universe

All resident households in Cambodia

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: National Institute of Statistics, Ministry of Planning

SAMPLE SIZE (person records): 1522877.

SAMPLE DESIGN: 10% sample drawn by the National Institute of Statistics. Sample method unknown

Mode of data collection

Face-to-face [f2f]

Research instrument

Form A: House list and Form B: Household Questionnaire

Cambodia KH: Refugee Population: by Country or Territory of Asylum data was reported at 24.000 Person in 2023. This stayed constant from the previous number of 24.000 Person for 2022. Cambodia KH: Refugee Population: by Country or Territory of Asylum data is updated yearly, averaging 74.000 Person from Dec 1964 (Median) to 2023, with 35 observations. The data reached an all-time high of 22,000.000 Person in 1969 and a record low of 5.000 Person in 1993. Cambodia KH: Refugee Population: by Country or Territory of Asylum 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. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.;United Nations High Commissioner for Refugees (UNHCR) and UNRWA through UNHCR's Refugee Data Finder at https://www.unhcr.org/refugee-statistics/.;Sum;

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: 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.

Cambodia KH: Rural Population data was reported at 12,968,594.000 Person in 2023. This records an increase from the previous number of 12,881,683.000 Person for 2022. Cambodia KH: Rural Population data is updated yearly, averaging 6,630,822.500 Person from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 12,968,594.000 Person in 2023 and a record low of 4,611,145.000 Person in 1981. Cambodia KH: Rural 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. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Sum;

There were 484 600 Linkedin users in Cambodia in May 2022, which accounted for 2.7% of its entire population. People aged 25 to 34 were the largest user group (330 000).

This chart shows the change in population density across Cambodian regions and provinces from 2019 to 2024. Phnom Penh remains by far the most densely populated area, increasing from 3,361 to 3,465 people per square kilometer. Other provinces, such as Kandal, Prey Veng, and Takeo, also saw notable increases in density, reflecting urban expansion and population concentration. Conversely, some coastal and plateau regions show relatively stable or low-density growth.

There were 827 200 Linkedin users in Cambodia in June 2025, which accounted for 4.6% of its entire population. People aged 25 to 34 were the largest user group (410 000).