Cambodia KH: GDP: Growth: Final Consumption Expenditure data was reported at 4.713 % in 2017. This records a decrease from the previous number of 6.664 % for 2016. Cambodia KH: GDP: Growth: Final Consumption Expenditure data is updated yearly, averaging 6.643 % from Dec 1994 (Median) to 2017, with 24 observations. The data reached an all-time high of 12.215 % in 2008 and a record low of -1.599 % in 1997. Cambodia KH: GDP: Growth: Final Consumption Expenditure 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: Annual Growth Rate. Average annual growth of final consumption expenditure based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;

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.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National coverage.

Analysis unit

Individuals

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Observation data/ratings [obs]

Sampling procedure

The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world’s population (see table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer’s gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size was 1600.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

Abstract

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 2013 will continue the work started through CSES 2004 and the annual CSES 2007 to 2014 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.

Geographic coverage

National Phnom Penh / Other Urban / Other Rural

Analysis unit

Households Individuals

Universe

All resident households in Cambodia

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design in the CSES 2013 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 2013"

Mode of data collection

Face-to-face [f2f]

Research instrument

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).

Cleaning operations

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.

Response rate

The CSES 2013 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.

Sampling error estimates

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.

Cambodia ODA: Tourism data was reported at 9,809.000 USD th in 2018. This records a decrease from the previous number of 17,176.000 USD th for 2017. Cambodia ODA: Tourism data is updated yearly, averaging 1,834.000 USD th from Dec 2002 (Median) to 2018, with 17 observations. The data reached an all-time high of 17,176.000 USD th in 2017 and a record low of 0.000 USD th in 2004. Cambodia ODA: Tourism data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F009: Official Development Assistance: Disbursement: by Sector.

This 2nd trade policy review of Cambodia was prepared by the WTO Secretariat in 2017. The report consists of 4 sections including economic environment, trade and investment regimes, trade policies and practices by measure, and trade policies by sector. In 2011, Cambodia also had the 1st trade policy review which brought benefits to the country through foreign direct investment (FDI) and played a crucial role for Cambodia to achieve the average economic growth of 7% over a decade.

Graph and download economic data for Consumer Price Index for Cambodia (DDOE01KHA086NWDB) from 1994 to 2017 about Cambodia, CPI, price index, indexes, and price.

Abstract

The Global Findex 2025 reveals how mobile technology is equipping more adults around the world to own and use financial accounts to save formally, access credit, make and receive digital payments, and pursue opportunities. Including the inaugural Global Findex Digital Connectivity Tracker, this fifth edition of Global Findex presents new insights on the interactions among mobile phone ownership, internet use, and financial inclusion.

The Global Findex is the world’s most comprehensive database on digital and financial inclusion. It is also the only global source of comparable demand-side data, allowing cross-country analysis of how adults access and use mobile phones, the internet, and financial accounts to reach digital information and resources, save, borrow, make payments, and manage their financial health. Data for the Global Findex 2025 were collected from nationally representative surveys of about 145,000 adults in 141 economies. The latest edition follows the 2011, 2014, 2017, and 2021 editions and includes new series measuring mobile phone ownership and internet use, digital safety, and frequency of transactions using financial services.

The Global Findex 2025 is an indispensable resource for policy makers in the fields of digital connectivity and financial inclusion, as well as for practitioners, researchers, and development professionals.

Geographic coverage

National Coverage

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most low- and middle-income economies, Global Findex data were collected through face-to-face interviews. In these economies, an area frame design was used for interviewing. In most high-income economies, telephone surveys were used. In 2024, face-to-face interviews were again conducted in 22 economies after phone-based surveys had been employed in 2021 as a result of mobility restrictions related to COVID-19. In addition, an abridged form of the questionnaire was administered by phone to survey participants in Algeria, China, the Islamic Republic of Iran, Libya, Mauritius, and Ukraine because of economy-specific restrictions. In just one economy, Singapore, did the interviewing mode change from face to face in 2021 to phone based in 2024.

In economies in which face-to-face surveys were conducted, the first stage of sampling was the identification of primary sampling units. These units were then stratified by population size, geography, or both and clustered through one or more stages of sampling. Where population information was available, sample selection was based on probabilities proportional to population size; otherwise, simple random sampling was used. Random route procedures were used to select sampled households. Unless an outright refusal occurred, interviewers made up to three attempts to survey each sampled household. To increase the probability of contact and completion, attempts were made at different times of the day and, where possible, on different days. If an interview could not be completed at a household that was initially part of the sample, a simple substitution method was used to select a replacement household for inclusion.

Respondents were randomly selected within sampled households. Each eligible household member (that is, all those ages 15 or older) was listed, and a handheld survey device randomly selected the household member to be interviewed. For paper surveys, the Kish grid method was used to select the respondent. In economies in which cultural restrictions dictated gender matching, respondents were randomly selected from among all eligible adults of the interviewer’s gender.

In economies in which Global Findex surveys have traditionally been phone based, respondent selection followed the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies in which mobile phone and landline penetration is high, a dual sampling frame was used.

The same procedure for respondent selection was applied to economies in which phone-based interviews were being conducted for the first time. Dual-frame (landline and mobile phone) random digit dialing was used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digit dialing was used in economies with limited or no landline presence (less than 20 percent). For landline respondents in economies in which mobile phone or landline penetration is 80 percent or higher, respondents were selected randomly by using either the next-birthday method or the household enumeration method, which involves listing all eligible household members and randomly selecting one to participate. For mobile phone respondents in these economies or in economies in which mobile phone or landline penetration is less than 80 percent, no further selection was performed. At least three attempts were made to reach the randomly selected person in each household, spread over different days and times of day.

Research instrument

The English version of the questionnaire is provided for download.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in: Klapper, Leora, Dorothe Singer, Laura Starita, and Alexandra Norris. 2025. The Global Findex Database 2025: Connectivity and Financial Inclusion in the Digital Economy. Washington, DC: World Bank. https://doi.org/10.1596/978-1-4648-2204-9.

Cambodia Official Development Assistance (ODA): Total Disbursement data was reported at 1,073,065.000 USD th in 2018. This records a decrease from the previous number of 1,334,675.000 USD th for 2017. Cambodia Official Development Assistance (ODA): Total Disbursement data is updated yearly, averaging 609,953.000 USD th from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 1,499,198.000 USD th in 2012 and a record low of 250,183.000 USD th in 1992. Cambodia Official Development Assistance (ODA): Total Disbursement data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F008: Official Development Assistance: Disbursement: by Development Partners.

Cambodia ODA: Other data was reported at 24,463.000 USD th in 2018. This records a decrease from the previous number of 63,755.000 USD th for 2017. Cambodia ODA: Other data is updated yearly, averaging 9,159.000 USD th from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 63,755.000 USD th in 2017 and a record low of 0.000 USD th in 2001. Cambodia ODA: Other data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F009: Official Development Assistance: Disbursement: by Sector.

Cambodia KH: External Debt: COM: Commitments: The International Bank for Reconstruction and Development (IBRD) data was reported at 0.000 USD mn in 2017. This stayed constant from the previous number of 0.000 USD mn for 2016. Cambodia KH: External Debt: COM: Commitments: The International Bank for Reconstruction and Development (IBRD) data is updated yearly, averaging 0.000 USD mn from Dec 1970 (Median) to 2017, with 48 observations. The data reached an all-time high of 0.000 USD mn in 2017 and a record low of 0.000 USD mn in 2017. Cambodia KH: External Debt: COM: Commitments: The International Bank for Reconstruction and Development (IBRD) 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: External Debt: Commitments and Currency Composition. Commitments (IBRD) are the sum of new commitments on public and publicly guaranteed loans from the International Bank for Reconstruction and Development (IBRD). Data are in current U.S. dollars.; ; World Bank, International Debt Statistics.; Sum;

Cambodia KH: Net Bilateral Aid Flows from Development Assistance Committee Donors: Hungary data was reported at 0.190 USD mn in 2018. This records an increase from the previous number of 0.070 USD mn for 2017. Cambodia KH: Net Bilateral Aid Flows from Development Assistance Committee Donors: Hungary data is updated yearly, averaging 0.090 USD mn from Dec 2005 (Median) to 2018, with 9 observations. The data reached an all-time high of 0.260 USD mn in 2009 and a record low of 0.010 USD mn in 2014. Cambodia KH: Net Bilateral Aid Flows from Development Assistance Committee Donors: Hungary 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: Defense and Official Development Assistance. Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.; ; Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://stats.oecd.org/.; Sum;

Cambodia KH: IMF Account: Fund Position: USD: UFC: Outstanding Loans: Structural Adj. Facility, Poverty Reduction and Growth Facility & Trust Fund data was reported at 0.000 USD mn in 2017. This stayed constant from the previous number of 0.000 USD mn for 2016. Cambodia KH: IMF Account: Fund Position: USD: UFC: Outstanding Loans: Structural Adj. Facility, Poverty Reduction and Growth Facility & Trust Fund data is updated yearly, averaging 0.000 USD mn from Dec 1945 (Median) to 2017, with 73 observations. The data reached an all-time high of 103.572 USD mn in 2003 and a record low of 0.000 USD mn in 2017. Cambodia KH: IMF Account: Fund Position: USD: UFC: Outstanding Loans: Structural Adj. Facility, Poverty Reduction and Growth Facility & Trust Fund 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.IFS: IMF Account: Fund Position: Annual.

Cambodia ODA: Rural Development data was reported at 73,857.000 USD th in 2018. This records a decrease from the previous number of 74,837.000 USD th for 2017. Cambodia ODA: Rural Development data is updated yearly, averaging 64,373.000 USD th from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 93,551.000 USD th in 2015 and a record low of 28,542.000 USD th in 1994. Cambodia ODA: Rural Development data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F009: Official Development Assistance: Disbursement: by Sector.

Cambodia ODA: Donors: IFI: Global Fund data was reported at 71,678.000 USD th in 2017. This records an increase from the previous number of 28,194.000 USD th for 2016. Cambodia ODA: Donors: IFI: Global Fund data is updated yearly, averaging 38,601.000 USD th from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 71,678.000 USD th in 2017 and a record low of 18,846.000 USD th in 2005. Cambodia ODA: Donors: IFI: Global Fund data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F008: Official Development Assistance: Disbursement: by Development Partners.

Cambodia ODA: Donors: Bilateral: Republic of Korea data was reported at 24,586.000 USD th in 2018. This records a decrease from the previous number of 51,242.000 USD th for 2017. Cambodia ODA: Donors: Bilateral: Republic of Korea data is updated yearly, averaging 15,838.000 USD th from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 80,326.000 USD th in 2014 and a record low of 0.000 USD th in 1997. Cambodia ODA: Donors: Bilateral: Republic of Korea data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F008: Official Development Assistance: Disbursement: by Development Partners.

Cambodia ODA: Donors: EU: France data was reported at 40,583.000 USD th in 2018. This records a decrease from the previous number of 103,265.000 USD th for 2017. Cambodia ODA: Donors: EU: France data is updated yearly, averaging 26,492.000 USD th from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 103,265.000 USD th in 2017 and a record low of 5,797.000 USD th in 1992. Cambodia ODA: Donors: EU: France data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F008: Official Development Assistance: Disbursement: by Development Partners.

Cambodia ODA: Agriculture data was reported at 173,900.000 USD th in 2018. This records a decrease from the previous number of 181,734.000 USD th for 2017. Cambodia ODA: Agriculture data is updated yearly, averaging 46,142.000 USD th from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 218,057.000 USD th in 2014 and a record low of 12,428.000 USD th in 1998. Cambodia ODA: Agriculture data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F009: Official Development Assistance: Disbursement: by Sector.

Cambodia ODA: Donors: IFI: World Bank data was reported at 54,232.000 USD th in 2018. This records an increase from the previous number of 39,681.000 USD th for 2017. Cambodia ODA: Donors: IFI: World Bank data is updated yearly, averaging 40,009.000 USD th from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 73,796.000 USD th in 2011 and a record low of 0.000 USD th in 1992. Cambodia ODA: Donors: IFI: World Bank data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F008: Official Development Assistance: Disbursement: by Development Partners.

Cambodia ODA: Health data was reported at 101,982.000 USD th in 2018. This records a decrease from the previous number of 213,757.000 USD th for 2017. Cambodia ODA: Health data is updated yearly, averaging 101,982.000 USD th from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 213,757.000 USD th in 2017 and a record low of 15,483.000 USD th in 1992. Cambodia ODA: Health data remains active status in CEIC and is reported by Council for the Development of Cambodia. The data is categorized under Global Database’s Cambodia – Table KH.F009: Official Development Assistance: Disbursement: by Sector.