Managed by
National Institute of Statistics

The table below presents a preview of the data explore, featuring key details about various datasets.
No data found
Below is a column legend explaining each column in the dataset, including its name, data type, and a brief description of what it represents.
| title | type | description |
|---|---|---|
| Chapter | Text | The highest level in the classification, where occupations are grouped according to broad sectors or industries of the economy. |
| Devision | Text | A subdivision within a chapter, representing more specific groupings of related occupations based on their functional or sectoral characteristics. |
| Group | Text | Further subdivisions within a division, categorizing occupations that share similar job functions or roles. |
| Class | Text | A more specific categorization within a group, detailing narrower occupations or professional categories based on common characteristics or skills. |
| Sub-Class | Text | The most detailed level of the classification, representing specialized or distinct roles within a particular class of occupations. |
| Khmer Description | Text | This provides detailed descriptions of each occupation in the Cambodian language (Khmer), helping to ensure that the CSCO is accessible and relevant to local users and stakeholders, and reflects the unique aspects of the Cambodian labor market. |
This section provides a list of available file formats for download. To obtain the data in your preferred format, simply click the download button corresponding to your choice.
| Name | File Format | Size | Action |
|---|---|---|---|
| CambodiaStandardClassificationofOccupations.csv | CSV | 233.69 KB |
Our API enables you to request and commence exploring our datasets. To utilize this functionality, please copy the code provided below into your preferred development environment, execute it, and you will receive structured data in return.
const url = "https://data.mef.gov.kh/api/v1/public-datasets/pd_68747c313a4a460001a321d6/json?page=1&page_size=10";
fetch(url)
.then(response => {
if (!response.ok) {
throw new Error('Failed to fetch data');
}
return response.json();
})
.then(data => {
console.error(data);
})
.catch(error => {
console.error('Error fetching data:', error);
});Managed by
National Institute of Statistics
API Calls
489
Views
1.34K
Downloads
69
Data Source
N/A
Coverage
-
Created at
14 Jul 2025
Updated at
15 Jul 2025