5 datasets found
  1. m

    Individuals using the Internet in Cambodia from 1997 to 2023

    • data.mef.gov.kh
    csv
    Updated Aug 5, 2025
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    World Bank (2025). Individuals using the Internet in Cambodia from 1997 to 2023 [Dataset]. https://data.mef.gov.kh/datasets/pd_6891d25b79fe4d000707da05
    Explore at:
    csv(6.81 KB)Available download formats
    Dataset updated
    Aug 5, 2025
    Dataset provided by
    General Department of Digital Economy
    Authors
    World Bank
    License

    https://data.mef.gov.kh/terms-of-usehttps://data.mef.gov.kh/terms-of-use

    Time period covered
    Jan 1, 1997 - Dec 31, 2023
    Area covered
    Cambodia
    Description

    This dataset presents the percentage of individuals in Cambodia who used the Internet from 1997 to 2023. It includes annual data values, source information, and a description of the indicator. The dataset is compiled from various official sources, such as the Ministry of Post and Telecommunications and the National Institute of Statistics, and provides insights into the growth of internet usage among the Cambodian population.

  2. w

    Agriculture Survey 2023 - Cambodia

    • microdata.worldbank.org
    • microdata.nis.gov.kh
    • +3more
    Updated May 1, 2025
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    National Institute of Statistics (NIS), Ministry of Planning (2025). Agriculture Survey 2023 - Cambodia [Dataset]. https://microdata.worldbank.org/index.php/catalog/6656
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Ministry of Agriculture, Forestry and Fishery (MAFF)
    National Institute of Statistics of Cambodia
    Time period covered
    2023
    Area covered
    Cambodia
    Description

    Abstract

    CAS 2023 was a comprehensive statistical undertaking for the collection and compilation of information on crop cultivation, livestock and poultry raising, aquaculture and capture fishing, agricultural economy, adaptation strategies of the holding to shocks, and the Food Insecurity Experience Scale. The National Institute of Statistics (NIS) of the Ministry of Planning (MOP), and the Ministry of Agriculture, Forestry and Fisheries (MAFF), were the responsible government ministries authorized to undertake the CAS 2023. While NIS had the census and survey mandate, the MAFF was the primary user of the data produced from the survey. Technical support was also provided by the Food and Agriculture Organization of the United Nations (FAO).

    The main objective of the CAS was to provide data on the agricultural situation in the Kingdom of Cambodia, to be utilized by planners and policy-makers. Specifically, the survey data are useful in:

    1.Providing an updated sampling frame in the conduct of agricultural surveys; 2.Providing data at the country and regional level, with some items available at the province level; 3.Providing data on the current structure of the country's agricultural holdings, including cropping, raising livestock and poultry, and aquaculture and capture fishing activities.

    The data collected and generated from this survey effort will help reflect progress towards the 2030 Sustainable Development goals for the agricultural sector, focusing on:

    -Goal 1: End poverty in all forms everywhere. -Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture. -Goal 5: Achieve gender equality and empower all women and girls.

    Geographic coverage

    The CAS 2023 provides national coverage.

    The national territory is divided in four Regions or Zones (Coastal Region, Plains Region, Plateau and Mountain Region, and Tonle Sap Region) and 25 Provinces (Banteay Meanchey, Battambang, Kampong Cham, Kampong Chhnang, Kampong Speu, Kampong Thom, Kampot, Kandal, Kep, Koh Kong, Kratie, Mondul Kiri, Otdar Meanchey, Pailin, Phnom Penh, Preah Sihanouk, Preah Vihear, Prey Veng, Pursat, Ratanak Kiri, Siem Reap, Stung Treng, Svay Rieng, Takeo, and Tboung Khmum).

    Analysis unit

    Household agricultural holdings

    Universe

    Agricultural households, i.e. holdings in the household sector that are involved in agricultural activities, including the growing of crops, raising of livestock or poultry, and aquaculture or capture fishing activities. A minimum threshold was not considered to determine a household's engagement in the above mentioned activities.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sampling approach for the CAS 2023 relied fully upon the sampling procedure of CAS 2022 and CAS 2021 before it, utilizing a panel approach. The CAS 2021 had used statistical methods to select a representative sample of enumeration areas (EAs) throughout Cambodia from the 2019 General Population Census of Cambodia Sampling Frame. Households within these EAs were then screened for any agricultural activity. Using this basic information, the agricultural households were stratified and sampled for additional data collection.

    For the CAS 2023, the 2019 General Population Census Sampling Frame was utilized, similarly to previous survey rounds. This frame consisted of around 14,500 villages and 38,000 Enumeration Areas (EAs). For each village, the following information was available: province, district, commune, type (rural/urban), number of EAs and number of households. The target population comprised the households that were engaged in agriculture, fishery and/or aquaculture. Given their low number of rural villages, the following districts were excluded from the frame: -Province Preah Sihanouk, District Krong Preah Sihanouk -Province Siem Reap, District Krong Siem Reab -Province Phnom Penh, District Chamkar Mon -Province Phnom Penh, District Doun Penh -Province Phnom Penh, District Prampir Meakkakra -Province Phnom Penh, District Tuol Kouk -Province Phnom Penh, District Ruessei Kaev -Province Phnom Penh, District Chhbar Ampov

    Since the number of rural households per EA was not known from the 2019 census, to calculate the number of rural households in each province, the sum of the households in the villages that were classified as rural was computed. The listing operation in each sampled EA was conducted for the CAS 2021 to identify the target population, i.e., the households engaged in agricultural activities.

    For this survey, there was no minimum threshold set to determine a household's engagement in agricultural activities. This differs from the procedures used during the 2013 Agriculture Census (and that would be used in the 2023 Agriculture Census later), in which households were eligible for the survey if they grew crops on at least 0.03 hectares and/or had a minimum of 2 large livestock and/or 3 small livestock and/or 25 poultry. The procedure used in the CAS, which had no minimum land area or livestock or poultry inventory, allowed for smaller household agricultural holdings to have the potential to be selected for the survey. However, based on the sampling procedure indicated below, household agricultural holdings with larger land areas or more livestock or poultry were identified and associated with different sampling strata to ensure the selection of some of them.

    The CAS 2023 used a two-stage stratified sampling procedure, with EAs as primary units and households engaged in agriculture as secondary units. Overall, 1,381 EAs and 12 agricultural households per each EA were selected, for a total planned sample size of 16,572 households. The 1,381 EAs were allocated to the provinces (statistical domains) proportionally to the number of rural households. To select the EAs within each province, the villages were ordered by district, commune, and then by type of village (Rural-Urban). Systematic sampling was then performed, with probability proportional to size (number of households). After two years of attrition, the total effective sample size of the survey was 15,323 agricultural households.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Cleaning operations

    Once the enumerators collected the survey data for an agricultural household, they submitted the completed questionnaire via Survey Solutions to their data supervisors who, in turn, carried out scrutiny checks. If there were errors or suspicious data detected, the data supervisor would return the record to the enumerator to address the issues with the respondent if needed, and the corrected record would be re-submitted to the data Supervisor. Once the records were validated by the data supervisors, they would approve them for final review by headquarters staff.

    At the survey headquarters, the completed questionnaires were received after being approved by the data supervisors. If any issues or suspicious data were discovered during the headquarters review, the records could be returned to the enumerator for verification or correction if needed. Documentation on how to review questionnaire data for suspicious items or outliers was provided to both data Supervisors and headquarters staff. The data review and calculation of the survey estimates was undertaken using the RStudio software tool. Validation of the data began even when the questionnaires were being designed in the CAPI tool, as Survey Solutions allows for consistency checks to be built into the data collection tool. As soon as completed records were returned during the data collection stage, additional consistency checks were completed, evaluating the ranges for certain items, and verifying any outlier records with the enumerator and/or respondent. Moreover, when the data was cleaned, another step was conducted to impute the missing values derived from item non-response.

    STATISTICAL DISCLOSURE CONTROL (SDC)

    Microdata are disseminated as Public Use Files under the terms and conditions indicated at the NIS Microdata Catalog (https://microdata.nis.gov.kh/), as indicated in the section about 'access conditions' below.

    In addition, anonymization methods have been applied to the microdata files before their dissemination, to protect the confidentiality of the statistical units (e.g. individuals) from which the data were collected. These methods include: i) removal of some variables contained in the survey (e.g. name, address, etc.), ii) grouping values of some variables into categories (e.g. age categories), iii) limiting geographical information to the province level, iv) removal of some records or specific data points, v) censoring the highest values in continuous variables (top-coding) by groups, replacing them with less extreme values from other respondents, or vi) rounding numerical values.

    Users must therefore be aware that data protection with SDC methods involves perturbations in the microdata. This implies information loss and bias, and affects the resulting estimates and their parameters. In general, the smaller the subpopulation, the higher the potential impact derived from the anonymization process.

  3. C

    Cambodia Unemployment Rate

    • ceicdata.com
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    CEICdata.com, Cambodia Unemployment Rate [Dataset]. https://www.ceicdata.com/en/indicator/cambodia/unemployment-rate
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2020 - Jun 1, 2023
    Area covered
    Cambodia
    Variables measured
    Unemployment
    Description

    Key information about Cambodia Unemployment Rate

    • Cambodia Unemployment Rate dropped to 0.70% in Jun 2023, from the previously reported figure of 1.00% in Jun 2021.
    • Cambodia Unemployment Rate is updated yearly, available from Jun 2020 to Jun 2023, with an average rate of 1.00%.
    • The data reached an all-time high of 2.40% in Jun 2020 and a record low of 0.70% in Jun 2023.
    • The data is reported by reported by National Institute of Statistics.
    • In the latest reports, Cambodia Population reached 17.09 million people in Dec 2023.


  4. C

    Cambodia Labour Force Participation Rate

    • ceicdata.com
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    CEICdata.com, Cambodia Labour Force Participation Rate [Dataset]. https://www.ceicdata.com/en/indicator/cambodia/labour-force-participation-rate
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2020 - Jun 1, 2023
    Area covered
    Cambodia
    Variables measured
    Labour Force
    Description

    Key information about Cambodia Labour Force Participation Rate

    • Cambodia Labour Force Participation Rate increased to 84.2 % in Jun 2023, compared with 83.7 % in the previous year.
    • Cambodia Labour Force Participation Rate is updated yearly, available from Jun 2020 to Jun 2023, with an average rate of 83.7 % .
    • The data reached the an all-time high of 87.4 % in Jun 2020 and a record low of 83.7 % in Jun 2021.
    • Cambodia Labour Force Participation Rate is reported by reported by National Institute of Statistics.
    • In the latest reports, Cambodia Population reached 17.1 million people in Dec 2023.
    • Unemployment Rate of Cambodia dropped to 0.7 % in Jun 2023.

  5. w

    Cambodia Agriculture Survey 2021 - Cambodia

    • microdata.worldbank.org
    • microdata.fao.org
    • +2more
    Updated Oct 30, 2024
    + more versions
    Share
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    National Institute of Statistics (NIS), Ministry of Planning (2024). Cambodia Agriculture Survey 2021 - Cambodia [Dataset]. https://microdata.worldbank.org/index.php/catalog/6380
    Explore at:
    Dataset updated
    Oct 30, 2024
    Dataset provided by
    National Institute of Statistics of Cambodia
    Ministry of Agriculture, Forestry and Fisheries (MAFF)
    Time period covered
    2021
    Area covered
    Cambodia
    Description

    Abstract

    CAS 2021 was a comprehensive statistical undertaking for the collection and compilation of information on crop cultivation, livestock and poultry raising, aquaculture and capture fishing, agricultural economy and labour. The National Institute of Statistics (NIS) of the Ministry of Planning (MOP), and the Ministry of Agriculture, Forestry and Fisheries (MAFF), were the responsible government ministries authorized to undertake the CAS 2021. While NIS had the census and survey mandate, the MAFF was the primary user of the data produced from the survey. Technical support was also provided by the Food and Agriculture Organization of the United Nations (FAO).

    The main objective of the CAS was to provide data on the agricultural situation in the Kingdom of Cambodia, to be utilized by planners and policy-makers. Specifically, the survey data are useful in:

    1. Providing an updated sampling frame in the conduct of agricultural surveys;
    2. Providing data at the country and regional level, with some items available at the province level;
    3. Providing data on the current structure of the country's agricultural holdings, including cropping, raising livestock and poultry, and aquaculture and capture fishing activities.

    The data collected and generated from this survey effort will help reflect progress towards the 2030 Sustainable Development goals for the agricultural sector, focusing on: - Goal 1: End poverty in all forms everywhere. - Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture. - Goal 5: Achieve gender equality and empower all women and girls. - Goal 6: Ensure availability and sustainable management of water and sanitation for all.

    The questionnaire collected data on several aspects of the agricultural holding, including demographic information about the holder and the household members, crop production, livestock and poultry raising, aquaculture, capture fishing, and labour used by the holding.

    Data was collected from household agricultural holdings and juridical agricultural holdings. Only the household agricultural holdings are included in the released microdata.

    Geographic coverage

    The geographic coverage for CAS 2021 was national coverage. The national territory is divided in four Regions or Zones (Coastal Region, Plains Region, Plateau and Mountain Region, and Tonle Sap Region) and 25 Provinces (Banteay Meanchey, Battambang, Kampong Cham, Kampong Chhnang, Kampong Speu, Kampong Thom, Kampot, Kandal, Kep, Koh Kong, Kratie, Mondul Kiri, Otdar Meanchey, Pailin, Phnom Penh, Preah Sihanouk, Preah Vihear, Prey Veng, Pursat, Ratanak Kiri, Siem Reap, Stung Treng, Svay Rieng, Takeo, and Tboung Khmum.).

    Analysis unit

    Agricultural holdings

    Universe

    Agricultural households, i.e. holdings in the household sector that are involved in agricultural activities, including the growing of crops, raising of livestock or poultry, and aquaculture or capture fishing activities. It was not considered a minimum threshold to determine a household's engagement in the above mentioned activities.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    For CAS 2021 a new screening activity was conducted. The method for CAS 2021 involved the selection of a representative sample of Enumeration Areas (EA) throughout Cambodia from the 2019 General Population Census Sampling Frame. Households within these EAs were screened for any agricultural activity. Using this basic information, the agricultural households were stratified and sampled for additional data collection. A simultaneous data collection effort focused on juridical holdings, utilizing listings of non-household agricultural operations, expanded based on feedback from MAFF and NIS provincial offices and other stakeholders.

    Enumerators along with field and data supervisors were mobilized in all provinces and trained for this undertaking. All enumerators and supervisors (337 enumerators, 46 field supervisors and 46 data supervisors) were existing staff of NIS or MAFF. The collaborative effort between these two ministries was consistent throughout the CAS project, with staff from both organizations contributing from the design of the survey to the data collection and analysis.

    The target population comprised the households that were engaged in agriculture, fishery and/or aquaculture. Given their low number of rural villages, the following districts were excluded from the frame: Krong Preah Sihanouk (province Preah Sihanouk), Krong Siem Reab (province Siemreap). Khan Chamkar Mon, Khan Doun Penh, Khan Prampir Meakkakra, Khan Tuol Kouk, Khan Ruessei Kaev, and Khan Chhbar Ampov (province Phnom Penh).

    For the CAS 2021, the 2019 General Population Census Sampling Frame was utilized. This frame consisted of around 14,500 villages and 38,000 Enumeration Areas (EAs). For each village, the following information was available: province, district, commune, type (rural/urban), number of EAs and number of households. The target population comprised the households that were engaged in agriculture, fishery and/or aquaculture. Given their low number of rural villages, the following districts were excluded from the frame:

    • Province Preah Sihanouk, District Krong Preah Sihanouk
    • Province Siemreap, District Krong Siem Reab
    • Province Phnom Penh, District Chamkar Mon
    • Province Phnom Penh, District Doun Penh
    • Province Phnom Penh, District Prampir Meakkakra
    • Province Phnom Penh, District Tuol Kouk
    • Province Phnom Penh, District Ruessei Kaev
    • Province Phnom Penh, District Chhbar Ampov

    Since the number of rural households per EA was not known from the 2019 census, to calculate the number of rural households in each province, the sum of the households in the villages that were classified as rural was computed. The listing operation in each sampled EA was conducted for the CAS 2021 to identify the target population, i.e., the households engaged in agricultural activities.

    For this survey, there was no minimum threshold set to determine a household's engagement in agricultural activities. This differs from the procedures used during the 2013 Agriculture Census (and that would be used in the 2023 Agriculture Census later), in which households were eligible for the survey if they grew crops on at least 0.03 hectares and/or had a minimum of 2 large livestock and/or 3 small livestock and/or 25 poultry. The procedure used in the CAS, which had no minimum land area or livestock or poultry inventory, allowed for smaller household agricultural holdings to have the potential to be selected for the survey. However, based on the sampling procedure indicated below, household agricultural holdings with larger land areas or more livestock or poultry were identified and associated with different sampling strata to ensure the selection of some of them.

    The CAS 2021 used a two-stage stratified sampling procedure, with EAs as primary units and households engaged in agriculture as secondary units. In the CAS 2021, 1,381 EAs and 12 agricultural households for each EA were selected, for a total planned sample size of 16,572 households. The 1,381 EAs were allocated to the provinces (statistical domains) proportionally to the number of rural households. To select the EAs within each province, the villages were ordered by district, commune, and then by type of village (Rural-Urban). Systematic sampling was then performed, with probability proportional to size (number of households). The total sample size of the survey was 16,563 agricultural households.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Cleaning operations

    Once the enumerators collected the survey data for an agricultural household, they submitted the completed questionnaire via Survey Solutions to their data supervisors who, in turn, carried out scrutiny checks. If there were errors or suspicious data detected, the data supervisor would return the record to the enumerator to address the issues with the respondent if needed, and the corrected record would be re-submitted to the data Supervisor. Once the records were validated by the data supervisors, they would approve them for final review by headquarters staff.

    At the survey headquarters, the completed questionnaires were received after being approved by the data supervisors. If any issues or suspicious data were discovered during the headquarters review, the records could be returned to the enumerator for verification or correction if needed. Documentation on how to review questionnaire data for suspicious items or outliers was provided to both data Supervisors and headquarters staff.

    The data review and calculation of the survey estimates was undertaken using the RStudio software tool. Validation of the data began even when the questionnaires were being designed in the CAPI tool, as Survey Solutions allows for consistency checks to be built into the data collection tool. As soon as completed records were returned during the data collection stage, additional consistency checks were completed, comparing reports to previous census data, evaluating the ranges for certain items, and verifying any outlier records with the enumerator and/or respondent. Moreover, when the data was cleaned, another step was conducted to impute the missing values derived from item non-response.

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World Bank (2025). Individuals using the Internet in Cambodia from 1997 to 2023 [Dataset]. https://data.mef.gov.kh/datasets/pd_6891d25b79fe4d000707da05

Individuals using the Internet in Cambodia from 1997 to 2023

Explore at:
csv(6.81 KB)Available download formats
Dataset updated
Aug 5, 2025
Dataset provided by
General Department of Digital Economy
Authors
World Bank
License

https://data.mef.gov.kh/terms-of-usehttps://data.mef.gov.kh/terms-of-use

Time period covered
Jan 1, 1997 - Dec 31, 2023
Area covered
Cambodia
Description

This dataset presents the percentage of individuals in Cambodia who used the Internet from 1997 to 2023. It includes annual data values, source information, and a description of the indicator. The dataset is compiled from various official sources, such as the Ministry of Post and Telecommunications and the National Institute of Statistics, and provides insights into the growth of internet usage among the Cambodian population.

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