Managed by
Ministry of Planning
Provisional Census 2019
This dataset provides comprehensive demographic statistics from a provisional census conducted in 2019. It includes detailed information on households, gender distribution, total population, and average household size across various provinces in Cambodia. The dataset also contains geographic data, such as the area in square kilometers and population density per square kilometer for each province.
The chart allows users to preview visualizations of datasets. These interactive and customizable charts, including bar charts, line charts, pie charts, and scatter plots, offer a dynamic and engaging way to explore data
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 |
|---|---|---|
| pro_code | Number | Province Code |
| Provinces_kh | Text | Name of the Province in Khmer |
| Provinces | Text | Name of the Province in English |
| Households | Number | Number of Households |
| Males | Number | Male Population |
| Females | Number | Female Population |
| Total | Number | Total Population |
| Household size | Number | Average Household Size |
| area_km2 | Number | Area in Square Kilometers |
| pop_km2 | Number | Population Density per Square Kilometer |
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 |
|---|---|---|---|
| ProvisionalCensus2019.csv | CSV | 2.02 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_66a8603600604c000123e143/json?page=1&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);
});Data Source
N/A
Views
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Created at
30 Jul 2024
Updated at
05 Dec 2024