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Key information about Cambodia Real GDP Growth
This statistic shows the share of economic sectors in the gross domestic product (GDP) in Cambodia from 2013 to 2023. In 2023, the share of agriculture in Cambodia's gross domestic product was 17.08 percent, industry contributed approximately 40.52 percent and the services sector contributed about 36.15 percent.
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The Gross Domestic Product (GDP) in Cambodia expanded 5.50 percent in the fourth quarter of 2023 over the same quarter of the previous year. This dataset provides - Cambodia GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Cambodia KH: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data was reported at 26.333 % in 2023. This records a decrease from the previous number of 27.122 % for 2022. Cambodia KH: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 20.779 % from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 27.122 % in 2022 and a record low of 8.617 % in 1993. Cambodia KH: GDP: % of GDP: Gross Value Added: Industry: Manufacturing 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: Gross Domestic Product: Share of GDP. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;Note: Data for OECD countries are based on ISIC, revision 4.
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The Gross Domestic Product (GDP) in Cambodia was worth 42.34 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Cambodia represents 0.04 percent of the world economy. This dataset provides - Cambodia GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Cambodia KH: Imports: % of GDP data was reported at 121.716 % in 2021. This records an increase from the previous number of 89.247 % for 2020. Cambodia KH: Imports: % of GDP data is updated yearly, averaging 76.600 % from Dec 2001 (Median) to 2021, with 21 observations. The data reached an all-time high of 121.716 % in 2021 and a record low of 55.997 % in 2009. Cambodia KH: Imports: % of GDP data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Cambodia – Table KH.IMF: Contribution to GDP.
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GDP from Construction in Cambodia decreased to 6114.40 KHR Billion in 2023 from 6229.70 KHR Billion in 2022. This dataset provides - Cambodia Gdp From Construction- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Key information about Cambodia Public Consumption: % of GDP
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Manufacturing, value added (% of GDP) in Cambodia was reported at 26.33 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Cambodia - Manufacturing, value added (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Cambodia KH: Exports: % of GDP data was reported at 74.842 % in 2021. This records a decrease from the previous number of 78.421 % for 2020. Cambodia KH: Exports: % of GDP data is updated yearly, averaging 64.000 % from Dec 2001 (Median) to 2021, with 21 observations. The data reached an all-time high of 78.421 % in 2020 and a record low of 47.737 % in 2009. Cambodia KH: Exports: % of GDP data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Cambodia – Table KH.IMF: Contribution to GDP.
Cambodia’s economic recovery solidified in 2022 with real growth accelerating to 5.2 percent. After shifting to “living with COVID-19” in late 2021, the economy is firmly on a path to recovery and has now returned to its pre-pandemic growth trajectory. Initially led by the strong performance of export-oriented manufacturing, growth drivers are rotating to the services and agriculture sectors. Driven by pent-up consumer demand, the overall contribution of the services sector to economic growth is returning to the 2019 levels. Underpinned by the complete removal of COVID-19-related mobility restrictions and China’s recent reopening, international arrivals have picked up, reaching 830,000 during the first two months of 2023, approaching pre-pandemic levels.
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Key information about Cambodia Nominal GDP
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This study examines the impact of Non-Performing Loans (NPLs) on Cambodia's economic growth using panel data analysis, leveraging annual data from 62 microfinance institutions over the period 2017–2023. Data were obtained from the National Statistics Institution of Cambodia, the National Bank of Cambodia, and the World Bank. The analysis reveals that NPLs exert a significant and negative influence on GDP growth, underscoring the detrimental effects of deteriorating credit quality on macroeconomic stability. Conversely, inflation exhibits a positive association with GDP growth, indicating that moderate levels of inflation may act as a catalyst for economic activity. Additionally, government regulatory frameworks demonstrate a positive impact on GDP growth, emphasizing the critical role of robust and adaptive governance in fostering economic resilience. These findings highlight the imperative of enhancing financial sector stability, maintaining optimal inflation levels, and strengthening regulatory frameworks to ensure sustainable economic growth in Cambodia. The study further advocates for targeted efforts to promote sectoral diversification, which could mitigate risks associated with economic concentration. Finally, the research calls for deeper exploration of the causal mechanisms underpinning the interactions between NPLs, inflation, regulatory environments, and economic performance, contributing to a nuanced understanding of sustainable development strategies in emerging economies.
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GDP from Agriculture in Cambodia increased to 9737.60 KHR Billion in 2023 from 9709.10 KHR Billion in 2022. This dataset provides - Cambodia Gdp From Agriculture- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Key information about Cambodia Private Consumption: % of GDP
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Exports of goods and services (% of GDP) in Cambodia was reported at 66.89 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Cambodia - Exports of goods and services (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
The tourism sector GDP share in Vietnam was forecast to continuously increase between 2023 and 2028 by in total 1.9 percentage points. The share is estimated to amount to 7.41 percent in 2028. While the share was forecast to increase significant in the next years, the increase will slow down in the future.Depited is the economic contribution of the tourism sector in relation to the gross domestic product of the country or region at hand.The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the tourism sector GDP share in countries like Thailand and Cambodia.
The Cambodia Socio-Economic Survey (CSES) asks questions to a country wide sample of households and household members about housing conditions, education, economic activities, household production and income, household level and structure of consumption, health, victimization, etc. There are also questions related to people in the labour force, e.g. labour force participation.
Poverty reduction is a major commitment by the Royal Government of Cambodia. Accurate statistical information about the living standards of the population and the extent of poverty is an essential instrument to assist the Government in diagnosing the problems, in designing effective policies for reducing poverty and in monitoring and evaluating the progress of poverty reduction. The Millennium Development Goals (MDG) has been adopted by the Royal Government of Cambodia and a National Strategic Development Plan (NSDP) has been developed. The MDGs are also incorporated into the “Rectangular Strategy of Cambodia”.
Cambodia is still a predominantly rural and agricultural society. The vast majority of the population get their subsistence in households as self-employed in agriculture. The level of living is determined by the household's command over labour and resources for own-production in terms of land and livestock for agricultural activities, equipments and tools for fishing, forestry and construction activities and income-earning activities in the informal and formal sector. The CSES aims to estimate household income and consumption/expenditure as well as a number of other household and individual characteristics.
The main objective of the survey is to collect statistical information about living conditions of the Cambodian population and the extent of poverty. The survey can be used for identifying problems and making decisions based on statistical data.
The main user is the Royal Government of Cambodia (RGC) as the survey supports monitoring the National Strategic Development Plan (NSDP) by different socio-economic indicators. Other users are university researchers, analysts, international organizations e.g. the World Bank and NGO’s. The World Bank has published a report on poverty profile and social indicators using CSES 2007 data . In this regard, the CSES continues to serve all stakeholders involved as essential instruments in order to assist in diagnosing the problems and designing their most effective policies. The CSES micro data at NIS is available for research and analysis by external researchers after approval by Senior Minister of Planning. The interesting research questions that could be put to the data are many; NIS welcomes new research based on CSES data.
General Objectives: CSES 2012 will continue the work started through CSES 2004 and the annual CSES 2007 and 2008 and would primarily aim at producing information needed for planning and policy making for reduction of poverty in Cambodia. Reduction of poverty has been given high priority in Cambodia's National Strategic Development Plan (NSDP 2009-2013). In addition to this, the survey data help in various other ways in developmental planning and policy making in the country. They would also prove useful for the production of National Accounts in Cambodia.
A long-term objective of the entire project is to build national capability in NIS for conducting socio-economic surveys and for utilizing survey data for planning for national development and social welfare.
Specific Objectives:
Among specific objectives, the following deserve special mention: 1) Obtain data on infrastructural facilities in villages, especially facilities for schooling and health care and associated problems. 2) Obtain data on retail prices of selected food, non-food and medicine items prevailing in the villages. 3) Collect data on utilization of education, housing and land ownership 4) Collect data on household assets and outstanding loans. 5) Collect data on household's construction activities. 6) Collect information on maternal health, child health/care. 7) Collect information on health care seeking and expenditure of the household members related to illness, injury and disability. 8) Collect information on economic activities including the economic activities for children aged between 5 and 17 years. 9) Collect information on victimization by the household 10) Collect information on the presence of the household members.
National Phnom Penh / Other Urban / Other Rural
All resident households in Cambodia
Sample survey data [ssd]
The sampling design in the CSES 2012 survey is a three-stage design. In stage one a sample of villages is selected, in stage two an Enumeration Area (EA) is selected from each village selected in stage one, and in stage three a sample of households is selected from each EA selected in stage two.
Stage 1: A random sample of PSUs was selected from each stratum. The sampling method was systematic PPS (PPS=sampling with probability proportional to size). The size measure used was the number of households in the PSU according to the sampling frame.
Stage 2: One EA was selected by Simple Random Sampling (SRS), in each village selected in stage 1.
Stage 3: In each selected EA a sample of 10 households was selected. The selection of households was done in the field by the supervisors/interviewers. All households in selected EAs were listed by the enumerator. The sample of households was then selected from the list by systematic sampling with a random start (the start value controlled by NIS).
For the details of sample selection please refer to the document "Process Description: Design and Select the Sample for CSES 2012"
Face-to-face [f2f]
Three different questionnaires or forms were used in the survey:
Form 1: Household listing sheets to be used in the sampling procedure in the enumeration areas.
Form 2: Village questionnaire answered by the village leader about economy and infrastructure, crop production, health, education, retail prices and sales prices of agriculture, employment and wages, and recruitment of children for work outside the village.
Form 3: Household questionnaire with questions for each household member, including modules on migration, education and literacy, housing conditions, crop production, household liabilities, durable goods, construction activities, nutrition, fertility and child care, child feeding and vaccination, health of children, mortality, current economic activity, health and illness, smoking, HIV/AIDS awareness, and victimization.
The interviewer is responsible for filling up Form 1 and Form 3 to respondents. For Form 2, the supervisors will be asked to canvass this form. In case that the supervisors are absent for any reason, the interviewers may be also asked to help fill up this form (Form 2).
The NIS team commenced their work of checking and coding and coding in begining of February after the first month of fieldwork was completed. Supervisors from the field delivered questionaires to NIS. Sida project expert and NIS Survey Manager helped in solving relevant matters that become apparent when reviewing questionires on delivery.
The CSES 2012 enjoyed almost a 100 percent response rate. The high response rate together with close and systematic fieldwork supervision by the core group members were a major contribution for achieving high quality survey results.
In order to provide a basis for assessing the reliability or precision of CSES estimates, the estimation of the magnitude of sampling error in the survey data were computed. Since most of the estimates from the survey are in the form of weighted ratios, thus variances for ratio estimates are computed.
The Coefficients of Variation (CV) on national level estimates are generally below 4 percent. The exception is the CV for total value of assets where there are rather high CVs especially in the urban areas, which should be expected.
The CVs are somewhat higher in the urban and rural domains but still generally below 7 percent. For the five zones, the average CVs are in the range 5 to 13 percent with a few exceptions where the CVs are above 20 percent. For provinces the CVs for food consumption are 9 percent on average.
The sample take within Primary Sampling Units (PSU) was set to 10 households per PSU in the CSES 1999. When data on variances became available, it was possible to make crude calculations of the optimal sample take within PSU. Calculations on some of the central estimates in the CSES 1999 show that the design effects in most cases are in the range 1 to 5.
Intra-cluster correlation coefficients have been calculated based on the design effects. These correlation coefficients are somewhat high. The reason is that the characteristics that are measured tend to be concentrated (clustered) within the PSUs. The optimal sample size within PSUs under different assumptions on cost ratios and intra-cluster correlation coefficients was then calculated. The cost ratio is the average cost for adding a village to the sample divided by the average cost of including an extra household in the sample. In the CSES, it was chosen to adopt a fairly low cost ratio due to the fact that the interview time per household is long. Under this assumption the optimal sample size is probably around 10 households per village for many of the CSES indicators.
"Forests cover 59 per cent of Cambodia’s total land area corresponding to approximately 10.7 million hectares. The net annual rate of deforestation was estimated as 0.5 per cent during the period 2002-2005/06 representing a significant decrease compared to earlier estimates. The Cambodian Millennium Goals aim to maintain forest cover at 60% by 2015. Currently, insecure title over forested land and unclear rights to use de facto open access forest resources mitigate efforts to maintain the forest cover, to secure livelihoods or to contribute to rural economic growth in Cambodia. This situation reflects a lack of coherence in rural land management policies, weak capacities of sub-national sector line agency departments, poor service delivery mechanisms and the limited involvement of rural land and resource users in formalized natural resource management procedures. The key challenges in the sector are the need to ensure sustainable management and equitable use of forests, to improve rural livelihoods, and to promote a balanced socio-economic development in Cambodia. Past forest management systems have not contributed sufficiently to these broad policy objectives."
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Cambodia Revenue: Social Contributions data was reported at 0.000 KHR mn in Mar 2018. This stayed constant from the previous number of 0.000 KHR mn for Feb 2018. Cambodia Revenue: Social Contributions data is updated monthly, averaging 0.000 KHR mn from Jan 2009 (Median) to Mar 2018, with 111 observations. The data reached an all-time high of 0.000 KHR mn in Mar 2018 and a record low of 0.000 KHR mn in Mar 2018. Cambodia Revenue: Social Contributions data remains active status in CEIC and is reported by Ministry of Economy and Finance. The data is categorized under Global Database’s Cambodia – Table KH.F002: Statement of Government Operations.
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Key information about Cambodia Real GDP Growth