Unique ID: 2015079

Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Population Estimates: using administrative data from many sources for population estimates

Using administrative data from many sources for population estimates

Singapore adopted the de jure concept for Singapore's population estimates based on a person's place of usual residence. Under the de jure concept of "usual residence", Singapore residents (citizens and permanent residents) with valid local addresses and who were not away from Singapore for a continuous period of 12 months or longer were included in the total population count. Non-residents comprising foreigners who were working, studying or living in Singapore but not granted permanent residence were also included in the total population. The transient population, such as tourists and short-term visitors, are excluded. Basic characteristics of Singapore's population estimates are compiled using administrative records from multiple sources. The merged administrative records provided the basic population count and characteristics such as age, sex, type of dwelling and geographic distribution in Singapore.

Project Objective:

Other

Project Outcomes:

Mid-year population estimates are released annually.

Statistical Area

Demographic and social

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Other
Region: East Asia & Pacific
Country Area: Singapore
Id Country Regional: country
Accessing Data
Accessing Data
Data Access Rights: Only for this project
Data Coverage
Data Coverage
Data Coverage: All available data
Coverage Geo Pop: Whole country / high % of market
Cost Comments: Some cost may be required to set up interfaces for data transfer and/or to cover costs in providing the data.
Coverage Period: At regular basis for the compilation of population estimates.
Data Quality
Data Quality
Quality Aspects Evaluated: Privacy and Security, Completeness, Usability, Time Factors, Accessibility, Relevance, Validity, Coherence, including linkability to other sources
Data Quality Concerns Comments: Developed to perform data checks within each data source and also across data sources, and to resolve any inconsistences promptly.
Methodology
Methodology
Methods Used: Traditional statistical methods
Technologies
Technologies
Technologies: Relational database, Spreadsheet, Data visualization tools
Other
Other
Income Level: High-income
Iso: SG
Timeframe To Produce Indicator: NA
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