P.092 Sabak Bernam Kawasanku

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Kawasanku

Learn more about your area today!

How does my area shape up against other areas? What are its demographics? What are labour conditions like? Does it have adequate public services? It is DOSM's mission to bring the answers to these questions to the rakyat's fingertips. Following the completion of Population and Housing Census of Malaysia 2020 (MyCensus 2020), DOSM released population data at Parliament Constituency and State Legislative Assembly level for the first time in history. The Kawasanku dashboard is intended to give citizens, policymakers, and the international community an accessible way to explore the dataset.

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Leaflet © OpenStreetMap contributors

Last updated: 30 Aug 2023, 12:00

P.092 Sabak Bernam has a population of 48,104 people. What does this population look like?

Data as of MyCensus 2020

Age group

Working

60.4

Elderly

21.0

Children

18.6

Ethnicity

Bumiputera

84.2

Chinese

11.0

Indian

4.6

Others

0.2

Occupied dwellings

Owned

78.5

Rented

13.3

Quarters

8.2

Employment status

Working

69.9

Out of labour force

27.6

Unemployed

2.5

Nationality

Citizen

97.8

Non-citizen

2.2

Sex

Male

24,618 people

51.2%

Female

23,486 people

48.8%

A comparison of key variables across States.

Data as of MyCensus 2020

P.092 Sabak Bernam

Below median

Median among Parliament Constituencies

Above median

Geography

Land area

Max elevation

Topobathy data was derived from the freely available Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) dataset, at 7.5 arc-second resolution. Geospatial analysis was conducted by DOSM.

Terrain Ruggedness Index

Terrain ruggedness indicates how jagged or flat an area is, on average. TRI was computed following Riley et al. (1999), using the freely available GMTED2010 dataset at 30 arc-second resolution. Geospatial analysis was conducted by DOSM.

Surface covered in water

Water cover data was derived from EC JRC and Google's freely available Global Surface Water dataset under the Copernicus Programme (Pekel et al., 2016). Geospatial analysis was conducted by DOSM.

Surface covered in forest

Tree cover data was derived from UMD, Google, USGS and NASA's freely available Global Forest Change dataset (Hansen et al., 2013). Geospatial analysis was conducted by DOSM.

Forest loss between 2000 to 2021

Tree loss data was derived from UMD, Google, USGS and NASA's freely available Global Forest Change dataset (Hansen et al., 2013). Geospatial analysis was conducted by DOSM.

Maximum intensity of lights at night

Night lights intensity data was derived from the freely available global VIIRS Nighttime Light dataset (Elvidge et al., 2020). Geospatial analysis was conducted by DOSM.

Population

Population density

Sex ratio (males per 100 females)

Average household size

Live births per 1000 people

Death rate per 1000 people

Young-age dependency ratio

Ratio of young-age (0-14) to working age (15-64) population

Old-age dependency ratio

Ratio of old-age (65+) to working age (15-64) population

Economy

Household income

Estimated based on the 2020 Household Income, Expenditure and Basic Amenities (HIES/BA) Survey data. There may be relatively high standard errors for certain electoral areas.

Household expenditure

Inequality (Gini coefficient)

Incidence of poverty

A person or household was classified as poor if their income fell below the 2019 Poverty Line Income.

Unemployment rate

Labour force indicators by electoral area were estimated based on 2020 Labour Force Survey data and the estimated population factors for 2020. This data should be used with caution due to relatively high standard errors for certain electoral areas.

Labour force participation rate

Working age population %

Public Services

Access to electricity

Includes both 24-hour supply and intermittent supply

Access to piped water at home

Hospitals per 1000 people

Includes all public and private hospitals in operation as of 1 May 2022. Data on hospitals was sourced from the Ministry of Health Malaysia. Geospatial analysis was conducted by DOSM.

Health clinics per 1000 people

Includes all public and private clinics in operation as of 1 May 2022. Data on clinics was sourced from the Ministry of Health Malaysia. Geospatial analysis was conducted by DOSM.

Schools per 1000 children

Includes all public schools in operation as of 1 May 2022. Data on schools was sourced from the Ministry of Education. Geospatial analysis was conducted by DOSM.

Police and fire stations per 1000 people

Includes police and fire stations in operation as of 1 May 2022. Data on police and fire stations were sourced from the Royal Malaysian Police and the Fire and Rescue Department of Malaysia respectively. Geospatial analysis was conducted by DOSM.

Grocery stores per 1000 people

Includes both publicly and privately owned grocery stores. Equivalent to Provision Stores based on the Malaysia Standard Industrial Classification (MSIC) 2008 Ver 1.0.

Note: Dispersions across variables are not intended to be perfectly comparable

A geographic visualisation of selected indicators.

Data as of 01 Jan 2020, 00:00

Department of Statistics Malaysia

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Open Data

data.gov.my