In 2024, the Gini coefficient after taxes amounted to 0.35 in Singapore. During the time surveyed, the Gini coefficient was highest in 2015, with an index score of 0.39. Since then, it has decreased in 2016 and 2020.

Historical dataset showing Singapore income inequality - gini coefficient by year from N/A to N/A.

Singapore HIW: GINI: After Accounting for Govt Transfers & Taxes data was reported at 0.401 NA in 2017. This stayed constant from the previous number of 0.401 NA for 2016. Singapore HIW: GINI: After Accounting for Govt Transfers & Taxes data is updated yearly, averaging 0.419 NA from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 0.439 NA in 2007 and a record low of 0.401 NA in 2017. Singapore HIW: GINI: After Accounting for Govt Transfers & Taxes data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.H052: Household Income from Work (HIW): Per Household Member: Gini Coefficient (GINI).

Singapore EHIW: GINI: After Acc for Govt Transfers&Taxes: Modified OECD Scale data was reported at 0.381 NA in 2017. This records an increase from the previous number of 0.379 NA for 2016. Singapore EHIW: GINI: After Acc for Govt Transfers&Taxes: Modified OECD Scale data is updated yearly, averaging 0.395 NA from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 0.412 NA in 2007 and a record low of 0.379 NA in 2016. Singapore EHIW: GINI: After Acc for Govt Transfers&Taxes: Modified OECD Scale data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.H053: Equivalised Household Income from Work (EHIW): Gini Coefficient (GINI).

Singapore HIW: GINI: Before Accounting for Govt Transfers & Taxes data was reported at 0.459 NA in 2017. This records an increase from the previous number of 0.458 NA for 2016. Singapore HIW: GINI: Before Accounting for Govt Transfers & Taxes data is updated yearly, averaging 0.464 NA from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 0.482 NA in 2007 and a record low of 0.442 NA in 2000. Singapore HIW: GINI: Before Accounting for Govt Transfers & Taxes data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.H052: Household Income from Work (HIW): Per Household Member: Gini Coefficient (GINI).

Comparing the *** selected regions regarding the gini index , South Africa is leading the ranking (**** points) and is followed by Namibia with **** points. At the other end of the spectrum is Slovakia with **** points, indicating a difference of *** points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Singapore EHIW: GINI: After Acc for Govt Transfers & Taxes: Square Root Scale data was reported at 0.356 NA in 2017. This records an increase from the previous number of 0.350 NA for 2016. Singapore EHIW: GINI: After Acc for Govt Transfers & Taxes: Square Root Scale data is updated yearly, averaging 0.378 NA from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 0.388 NA in 2007 and a record low of 0.350 NA in 2016. Singapore EHIW: GINI: After Acc for Govt Transfers & Taxes: Square Root Scale data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.H053: Equivalised Household Income from Work (EHIW): Gini Coefficient (GINI).

Singapour: Gini income inequality index: Pour cet indicateur, La Banque mondiale fournit des données pour la Singapour de à . La valeur moyenne pour Singapour pendant cette période était de index points avec un minimum de index points en et un maximum de index points en .

This record contains the underlying research data for the publication "Comprehensive Evaluation of Association Measures for Fault Localization" and the full-text is available from: https://ink.library.smu.edu.sg/sis_research/1330In statistics and data mining communities, there have been many measures proposed to gauge the strength of association between two variables of interest, such as odds ratio, confidence, Yule-Y, Yule-Q, Kappa, and gini index. These association measures have been used in various domains, for example, to evaluate whether a particular medical practice is associated positively to a cure of a disease or whether a particular marketing strategy is associated positively to an increase in revenue, etc. This paper models the problem of locating faults as association between the execution or non-execution of particular program elements with failures. There have been special measures, termed as suspiciousness measures, proposed for the task. Two state-of-the-art measures are Tarantula and Ochiai, which are different from many other statistical measures. To the best of our knowledge, there is no study that comprehensively investigates the effectiveness of various association measures in localizing faults. This paper fills in the gap by evaluating 20 wellknown association measures and compares their effectiveness in fault localization tasks with Tarantula and Ochiai. Evaluation on the Siemens programs show that a number of association measures perform statistically comparable as Tarantula and Ochiai.

EHIW：GINI：政府转移和税收核算前：平方根标度在12-01-2017达0.417NA，相较于12-01-2016的0.410NA有所增长。EHIW：GINI：政府转移和税收核算前：平方根标度数据按年更新，12-01-2000至12-01-2017期间平均值为0.428NA，共18份观测结果。该数据的历史最高值出现于12-01-2008，达0.438NA，而历史最低值则出现于12-01-2016，为0.410NA。CEIC提供的EHIW：GINI：政府转移和税收核算前：平方根标度数据处于定期更新的状态，数据来源于Department of Statistics，数据归类于Global Database的新加坡 – Table SG.H053：工作在家庭收入中的等价值（EHIW）：基尼系数（GINI）。

HIW：GINI：政府转移和税收核算后在12-01-2017达0.401NA，相较于12-01-2016的0.401NA保持不变。HIW：GINI：政府转移和税收核算后数据按年更新，12-01-2000至12-01-2017期间平均值为0.419NA，共18份观测结果。该数据的历史最高值出现于12-01-2007，达0.439NA，而历史最低值则出现于12-01-2017，为0.401NA。CEIC提供的HIW：GINI：政府转移和税收核算后数据处于定期更新的状态，数据来源于Department of Statistics，数据归类于Global Database的新加坡 – Table SG.H052：家庭工作收入（HIW）：每个家庭成员：基尼系数（GINI）。

EHIW：GINI：政府转移和税收核算后：改进的经济合作与发展组织（OECD）规模在12-01-2017达0.381NA，相较于12-01-2016的0.379NA有所增长。EHIW：GINI：政府转移和税收核算后：改进的经济合作与发展组织（OECD）规模数据按年更新，12-01-2000至12-01-2017期间平均值为0.395NA，共18份观测结果。该数据的历史最高值出现于12-01-2007，达0.412NA，而历史最低值则出现于12-01-2016，为0.379NA。CEIC提供的EHIW：GINI：政府转移和税收核算后：改进的经济合作与发展组织（OECD）规模数据处于定期更新的状态，数据来源于Department of Statistics，数据归类于Global Database的新加坡 – Table SG.H053：工作在家庭收入中的等价值（EHIW）：基尼系数（GINI）。