Poverty by Administrative District
Data as of 2022Poverty rates by administrative district from 2019 to 2022.
0 views·0 downloads
How is this data produced?
In general, poverty is defined as having household income below a specific benchmark. Accordingly, statistics on poverty in Malaysia are produced and published together with statistics on household income derived from the Household Income and Expenditure Survey (HIES), which is conducted at least twice within any 5-year period. This dataset presents 2 definitions of poverty:
- Absolute Poverty: A household is considered to be in absolute poverty if their gross monthly household income is below the Poverty Line Income (PLI). This indicates that the household does not earn sufficient income to meet basic needs for a dignified life.
- Relative Poverty: A household is considered to be in relative poverty if their gross monthly household income is below half the national median income. This measure is used to assess relative deprivation within the district, especially as absolute and hardcore poverty rates approach 0, as is the case for Malaysia.
For full details on the methodology, especially the computation of the PLI and its evolution and nuances, please refer to the technical notes.
What caveats I should bear in mind when using this data?
Data on hardcore poverty is not available at district level. Furthermore, district-level data is only published from 2019 (relative to state-level data which is available from 1970) as prior HIES samples were not sufficient to support district-level granularity.
Publication(s) using this data
The Household Income Survey Report, 2022, the latest edition of the household income statistics published by DOSM. OpenDOSM also features a dashboard on household income which enables you to explore Malaysia's household income data interactively.
Metadata
Dataset description
Poverty rates by administrative district from 2019 to 2022.
Variable definitions
- State
- District
- Date
- Absolute Poverty Rate
- Relative Poverty Rate
Name in Dataset | Variable | Definition |
|---|---|---|
state (Categorical) | State | One of 16 states, including the 3 Federal Territories |
district (Categorical) | District | One of 160 administrative districts, including the 4 states (Perlis and the 3 Federal Territories) which do not have subdivisions |
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 as the data is at annual frequency |
poverty_absolute (Float) | Absolute Poverty Rate | Proportion of households with monthly income below the Poverty Line Income (PLI) |
poverty_relative (Float) | Relative Poverty Rate | Proportion of households with monthly income below half the district median income |
Last updated:
28 Jul 2023, 12:00
Next update:
N/A
Data source(s)
- DOSM
URLs to dataset
License
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Download
Data
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
Code
Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.dosm.gov.my/hies/hh_poverty_district.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=hh_poverty_district&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Department of Statistics Malaysia
© 2024 Public Sector Open Data
Open Data
data.gov.my