Graph and download economic data for GINI Index for Nigeria (SIPOVGININGA) from 1985 to 2022 about Nigeria, gini, and indexes.

Nigeria NG: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 43.000 % in 2009. This records an increase from the previous number of 40.100 % for 2003. Nigeria NG: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 43.000 % from Dec 1985 (Median) to 2009, with 5 observations. The data reached an all-time high of 51.900 % in 1996 and a record low of 38.700 % in 1985. Nigeria NG: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Poverty. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

According to governmental data from 2020, the Gini coefficient in Nigeria was **** points as of 2019. The Gini index gives information on the distribution of income in a country. In an ideal situation in which incomes are perfectly distributed, the coefficient is equal to zero.

The first eight countries with the biggest inequality in income distribution in the world are located in Sub-Saharan Africa, with an index over ** points.

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

The gini index in Nigeria was forecast to remain on a similar level in 2029 as compared to 2024 with **** points. According to this forecast, the gini will stay nearly the same over the forecast period. 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).Find more key insights for the gini index in countries like Ivory Coast and Senegal.

The gini index in the Ivory Coast was forecast to continuously decrease between 2024 and 2029 by in total **** points. The gini is estimated to amount to **** points in 2029. 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).Find more key insights for the gini index in countries like Nigeria and Ghana.

NG：基尼系数（GINI系数）：世界银行估计在12-01-2009达43.000%，相较于12-01-2003的40.100%有所增长。NG：基尼系数（GINI系数）：世界银行估计数据按年更新，12-01-1985至12-01-2009期间平均值为43.000%，共5份观测结果。该数据的历史最高值出现于12-01-1996，达51.900%，而历史最低值则出现于12-01-1985，为38.700%。CEIC提供的NG：基尼系数（GINI系数）：世界银行估计数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的尼日利亚 – 表 NG.世行.WDI：贫困。

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).

Fish products are highly traded and global fish trade has been increasing very rapidly in recent decades with an estimated 45% of the world catch now traded internationally. West Africa has a huge potential for trade in intra-regional terms and vibrant markets for fish and fish products in Nigeria, Ghana and the Ivory Coast being the three major importers of fish products in the region. Intra-regional fish trade is important in improving food and nutritional security; and poverty eradication in Africa. However, trade has so far not served as an effective tool for the achievement of rapid and sustainable economic growth and development for many of the countries of the continent because, there is paucity of information on market structure and value of intra-regional fish trade. This information is needed to ensure the proper integration of intraregional fish trade into the nation-state policy agenda. This study therefore investigated the marketing structure, profitability and trade flow along the borders of Nigeria. In this study, Nigeria was divided into four major areas according to the countries at her borders viz: Nigeria-Cameroon-Chad, Nigeria-Niger, and Nigeria-Benin border and the Lake Kainjiinland fisheries with multi-stage experimental design adopted. Sixteen States including Akwa Ibom, Cross River, Benue, Taraba, Adamawa, Borno, Sokoto, Katsina, Jigawa, Yobe, Kebbi, Kwara, Oyo, Ogun, Lagos and Niger States along the borders were sampled. One hundred and eight (108) Local Governments Areas in the States were sampled based on the prevalence of fishing activities in these areas. Structured questionnaires were administered to a total of 814 producers, 814 processors and 814 marketers randomly selected based on their active involvement in fish marketing. Information on socio-economic characteristics, quantity and values of fish products marketed, trade flow and market structure were collected. Data collected were subjected to descriptive statistics, budgetary analysis, Gini coefficient, linear regression and ANOVA at α0.05. The results showed that fish production was dominated by males along the three borders with the highest percentage recorded in Sokoto and Katsina (100.0%), while more females were involved in processing and marketing in four States (Cross River, Akwa Ibom, Taraba and Benue States) along the Nigeria-Cameroon-Chad border with the highest percentage in Cross River (90.0% and 90.0%). About 1.69% of the fishermen along Nigeria-Cameroon border import fresh while 0.67% of the fish marketers import smoked and dried fish into Nigerian fish market. Marketers and processors of 1.51% were involved in cross-border importation of smoked fish into Nigeria through Nigeria-Benin border while 0.81% of the sampled marketers engaged in importation of fresh and dried fish products. 0.40% of the marketers and processors along Nigeria-Niger border and Lake Kainji-inland fisheries were involved in cross-border trade of dried and fried fish products. About 1.19% of the fish marketers export fried fish from Nigeria to Niger Republic through Nigeria-Niger border. Exportation of smoked fish of about 2008.22±856.51kg (₦3,260,028.25±1,231,860.25) was recorded in Jigawa State while dried fish of 1,800.00±0.00kg (₦4,606,200±0.00) and 2,500.00±0.00kg (₦4,425,000.00±0.00) were observed among respondents in Yobe and Niger States, respectively along Nigeria-Niger border and Lake Kainjiinland fisheries. Along Nigeria-Cameroon-Chad border smoked fish of 1,278.06±0.00kg (N2,581,672.22±0.00) and 951.56±214.34kg (₦2,136,666.84±306,413.18) were exported from Benue and Borno State, respectively. In Lagos State, 20.56% (1,088.75±292.76kg) and 31.69% (441.00±241.83kg) of the total smoked and dried fish, respectively traded in the State were supplied through the cross-border trade while 14.67% (2,300.00±424.26kg) and 4.50% (150.88±97.21kg) of fresh and smoked fish, respectively were imported from Benin Republic through cross-border trade in Ogun State. The Gini coefficient value for most of the actors in the States along the Nigeria-Niger border and Lake Kainji-inland fisheries was 0.34, 0.45, 0.41, and 0.43 for wholesalers of smoked fish, retailers of spiced fish, wholesalers and retailers of frozen fish respectively. The linear regression (b) coefficient for all the forms of fish were positive except for dried and fried whose b values were -7.66 and -5.15 respectively. Gini coefficients were 0.63, 0.70, 0.71 and 0.59 for fresh, smoked, dried and frozen fish markets in the States along the Nigeria-Cameroon-Chad border and the linear regression coefficient was positive for all forms of fish. The linear regression coefficient for all forms of fish marketed along the Nigeria-Benin border were positive except for fried fish with b value of -485.89. In conclusion, the fish markets along Nigeria-Niger border, Lake Kainji-inland fisheries, the Northern part of the Nigeria-Cameroon-Chad and the Nigeria-Benin border which includes...

As of January 2024, Johann Rupert and his family are the richest people in South Africa with a net worth of 9.6 billion U.S. dollars. The Rupert family are ranked at 224 globally and are the second richest people in Africa after Nigerian billionaire, Aliko Dangote, reclaimed the title. Rupert's net worth dropped by 2.2 billion U.S. dollars from 2023, mainly due to a decline in the market value of luxury goods company Richemont, where he owns an estimated 9.14 percent stake. Nicky Oppenheimer and his family placed as the second richest in South Africa, with a net worth of 9.4 billion U.S. dollars and ranking at 232 worldwide. Their net worth source was mostly founded via the diamond market. They were followed by Koos Bekker, the chairman of media group Naspers, with 2.6 billion U.S. dollars who placed 1,202 globally. Patrice Motsepe, the first black African on the Forbes list and founder of African Rainbow Minerals, ranked 1,208 out of the global billionaires list, with a net worth of 2.6 billion U.S. dollars.

Where does the wealth reside in the continent?

The three largest economies in the continent in terms of Gross Domestic Product (GDP), namely Nigeria, Egypt, and South Africa saw the highest concentration of private wealth in the continent, with South Africa ranking first when it came to private wealth. In fact, out of Africa’s 20 wealthiest families and individuals, 14 of them were from these economies. Since 2010, the number of high net worth individuals in the continent fluctuated peaking at 148 individuals in 2017 and reaching its lowest in 2020 at 125. High net worth individuals are people whose net assets exceed one million U.S. dollars. On the other hand, South Africa suffered from severe income inequality ranking as the most unequal country in the world with a Gini coefficient of 62.73 percent.