Evidence map›Paper›PMID 39709352›Full record

ArticleBMC public health2024

Development of a territory-wide household-based composite index for measuring relative distribution of households by economic status in individual small areas throughout Hong Kong.

Eva L H Tsui, Philip L H Yu, K F Lam, Kelvin K Y Poon, Adam C M Ng, K Y Cheung, Winnie Li, Michael L H Leung, David H Y Lam, James L Y Cheng and 1 more

Abstract read
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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Eva L H TsuiResearch and Data Analytics Office, Health Bureau of the Government of the Hong Kong Special Administrative Region, 9/F, Rumsey Street Multi-storey Carpark Builing, 2 Rumsey Street, Sheung Wan, Hong Kong Special Administrative Region, China. elhtsui@healthbureau.gov.hk.
Philip L H YuDepartment of Mathematics and Information Technology, The Education University of Hong Kong, 10 Lo Ping Road, Tai Po, New Territories, Hong Kong Special Administrative Region, China.
K F LamDepartment of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
Kelvin K Y PoonResearch and Data Analytics Office, Health Bureau of the Government of the Hong Kong Special Administrative Region, 9/F, Rumsey Street Multi-storey Carpark Builing, 2 Rumsey Street, Sheung Wan, Hong Kong Special Administrative Region, China. kkypoon@healthbureau.gov.hk.
Adam C M NgResearch and Data Analytics Office, Health Bureau of the Government of the Hong Kong Special Administrative Region, 9/F, Rumsey Street Multi-storey Carpark Builing, 2 Rumsey Street, Sheung Wan, Hong Kong Special Administrative Region, China.
K Y CheungResearch and Data Analytics Office, Health Bureau of the Government of the Hong Kong Special Administrative Region, 9/F, Rumsey Street Multi-storey Carpark Builing, 2 Rumsey Street, Sheung Wan, Hong Kong Special Administrative Region, China.
Winnie LiResearch and Data Analytics Office, Health Bureau of the Government of the Hong Kong Special Administrative Region, 9/F, Rumsey Street Multi-storey Carpark Builing, 2 Rumsey Street, Sheung Wan, Hong Kong Special Administrative Region, China.
Michael L H LeungResearch and Data Analytics Office, Health Bureau of the Government of the Hong Kong Special Administrative Region, 9/F, Rumsey Street Multi-storey Carpark Builing, 2 Rumsey Street, Sheung Wan, Hong Kong Special Administrative Region, China.
David H Y LamResearch and Data Analytics Office, Health Bureau of the Government of the Hong Kong Special Administrative Region, 9/F, Rumsey Street Multi-storey Carpark Builing, 2 Rumsey Street, Sheung Wan, Hong Kong Special Administrative Region, China.
James L Y ChengSocial Statistics Division, Census and Statistics Department of the Government of the Hong Kong Special Administrative Region, Wanchai Tower, 12 Harbour Road, Wan Chai, Hong Kong Special Administrative Region, China.
Sharon P W NgSocial Statistics Division, Census and Statistics Department of the Government of the Hong Kong Special Administrative Region, Wanchai Tower, 12 Harbour Road, Wan Chai, Hong Kong Special Administrative Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany countries have developed their country/nation-wide multidimensional area-based index on deprivation or socioeconomic status for resource allocation, service planning and research. However, whether each geographical unit proxied by a single index is sufficiently small to contain a relatively homogeneous population remains questionable. Globally, this is the first study that presents the distribution of domestic households by the territory-wide economic status index decile groups within each of the 2,252 small subunit groups (SSUGs) throughout Hong Kong, with a median study population of 1,300 and a median area of 42,400 m

methodsThe index development involved 248,000 anonymized sampled household-based data collected from the population census, representing 2·66 million domestic households and 6·93 million population in mid-2021. Our composite index comprises seven variables under income-/wealth-related and housing-related domains with weights determined using the analytic hierarchy process. After ranking all households from the most to the least well-off according to the numeric/ordinal value of each variable and then calculating their weighted rank scores, they were segregated into ten deciles from D1 (top 10% most well-off) to D10 (bottom 10%). Their relative distribution was summarized in a three-dimensional ternary plot to distinguish patterns across the 2,252 SSUGs within the 18 administrative districts.

resultsIn Hong Kong, of the 2,252 SSUGs, only one-quarter contain a homogeneous composition of households with similar economic status, while the other three-quarters are heterogeneous to varying extents. Of the 18 administrative districts, only two are concentrated with more homogeneously well-off SSUGs.

conclusionsSmall-sized geographical units may contain a heterogeneous composition of households with diverse economic statuses, underlying the need for more precise information to quantify their relative distribution. Results of this study are disseminated via an online interactive map dashboard ( https://experience.arcgis.com/experience/‌b4c7643feb9043eb94b3add386c4b71c /) which can serve as a versatile planning tool capable of performing analysis at different varying geographic scales for community-based resource prioritization, service planning and research across different domains.

Indexed as

Family CharacteristicsCensusesEconomic StatusHong KongHumansSmall-Area AnalysisDeprivationHong KongSESSmall-area analysisSocioeconomic status index

Identifiers

PMID39709352
PMCPMC11662524

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.