{"id":4423,"date":"2021-10-28T10:31:02","date_gmt":"2021-10-28T05:01:02","guid":{"rendered":"https:\/\/55nda.com\/blogs\/anil-khosla\/?p=4423"},"modified":"2024-12-27T16:21:22","modified_gmt":"2024-12-27T10:51:22","slug":"learnt-something-new-gini-index","status":"publish","type":"post","link":"https:\/\/55nda.com\/blogs\/anil-khosla\/2021\/10\/28\/learnt-something-new-gini-index\/","title":{"rendered":"217: Learnt Something New: GINI INDEX"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-4426 aligncenter\" src=\"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/businessline-300x187.jpg\" alt=\"\" width=\"300\" height=\"187\" srcset=\"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/businessline-300x187.jpg 300w, https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/businessline.jpg 435w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-size: 8pt;\">Pic Courtesy: Businessline<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #800080;\">Italian statistician Corrado Gini, developed the Gini coefficient in 1912. It ranges from 0 to 1, but is often written as a percentage.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #000080;\"><strong><u>Defnition<\/u><\/strong>. The Gini coefficient (also known as Gini index or Gini ratio) is one of the most frequently used statistical measure of economic inequality in a population. The coefficient measures the dispersion of income or distribution of wealth among the members of a population.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\"><strong><u>Importance.<\/u><\/strong> A country&#8217;s Gini coefficient is important because it helps identify high levels of income inequality, which can have several undesirable political and economic impacts. These include slower GDP growth, reduced income mobility, greater household debt, political polarization, and higher poverty rates. <\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\">\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #003366;\"><strong><u>Repercussions<\/u><\/strong>.<\/span><\/p>\n<ul style=\"text-align: justify;\">\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #003366;\">An increase in the Index implies that the government\u2019s policies benefit the rich more than the poor and are not inclusive enough.<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #003366;\">So, a higher ratio may encourage the government to spend more on social welfare schemes and also increase the tax burden on the rich.<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #003366;\">It is important that the government tries to maintain a good ratio so that the rich-poor divide can be kept in check.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-4428\" src=\"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/market-business-news-300x244.jpg\" alt=\"\" width=\"300\" height=\"244\" srcset=\"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/market-business-news-300x244.jpg 300w, https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/market-business-news-768x624.jpg 768w, https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/market-business-news.jpg 807w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-size: 8pt;\">Pic Courtesy: Market business news<\/span><\/p>\n<p><!--more--><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #800000;\"><strong><u>Values<\/u><\/strong>. The coefficient can take any values between 0 to 1 (or 0% to 100%). A coefficient of zero indicates a perfectly equal distribution of income or wealth within a population. A coefficient of one represents a perfect inequality when one person in a population receives all the income, while other people earn nothing. The coefficient generally ranges from 24% to 63%. \u00a0A value below 0.4 is considered acceptable generally.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #0000ff;\">Please note that the Gini coefficient is not an absolute measure of a country\u2019s income or wealth. The coefficient only measures the dispersion of income or wealth within a population.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #993300;\"><strong><u>Principles of the Gini Coefficient<\/u><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #993300;\"><strong><u>Population Independence.<\/u><\/strong> The coefficient does not depend on the size of the population.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #993300;\"><strong><u>Scale of independence.<\/u><\/strong><strong>\u00a0 <\/strong>The calculation of the Gini coefficient does not depend on how large the economy is, how it is measured, or how wealthy a country is. For example, both rich and poor countries may show the same coefficient due to similar income distribution.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #993300;\"><strong><u>Anonymity<\/u><\/strong>. The coefficient does not disclose the identities of high-income and low-income individuals in a population.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #333399;\"><strong><u>Limitations of the Gini Coefficient<\/u><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #333399;\"><strong><u>Sample bias<\/u><\/strong>. The validity of Gini coefficient calculations can be dependent on the size of a sample.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #333399;\"><strong><u>Data inaccuracy<\/u><\/strong>. The Gini coefficient is prone to systematic and random data errors. Therefore, inaccurate data can distort the validity of the coefficient.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-4427\" src=\"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/geo-currents-300x132.png\" alt=\"\" width=\"300\" height=\"132\" srcset=\"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/geo-currents-300x132.png 300w, https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/geo-currents-1024x449.png 1024w, https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/geo-currents-768x337.png 768w, https:\/\/55nda.com\/blogs\/anil-khosla\/wp-content\/uploads\/2021\/10\/geo-currents.png 1425w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-size: 8pt;\">Pic Courtesy: Geo currents<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\"><strong><u>Top 10 Countries with the Highest Gini Coefficients (World Bank):<\/u><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">South Africa &#8211; 2014 &#8211; 63.0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">Namibia &#8211; 2015 &#8211; 59.1<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">Suriname &#8211; 1999 &#8211; 57.9<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">Zambia &#8211; 2015 &#8211; 57.1<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">Sao Tome and Principe &#8211; 2017 &#8211; 56.3<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">Central African Republic &#8211; 2008 &#8211; 56.2<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">Eswatini &#8211; 2016 &#8211; 54.6<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">Mozambique &#8211; 2014 &#8211; 54.0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">Brazil &#8211; 2019 &#8211; 53.4<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\">Belize &#8211; 1999 &#8211; 53.3<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\"><strong><u>Top 10 Countries with the Lowest Gini Coefficients (World Bank):<\/u><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Slovenia &#8211; 2018 &#8211; 24.6<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Czech Republic &#8211; 2018 &#8211; 25.0 (tie)<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Slovakia &#8211; 2018 &#8211; 25.0 (tie)<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Belarus &#8211; 2019 &#8211; 25.3<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Moldova &#8211; 2018 &#8211; 25.7<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">United Arab Emirates &#8211; 2018 &#8211; 26.0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Iceland &#8211; 2017 &#8211; 26.1<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Azerbaijan &#8211; 2005 &#8211; 26.6 (tie)<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Ukraine &#8211; 2019 &#8211; 26.6 (tie)<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Belgium &#8211; 2018 &#8211; 27.2<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #993366;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\"><strong><u>India.<\/u><\/strong>\u00a0<\/span><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\">India ranks 98 with the Gini Coefficient of 35.7. The trend over the years, indicates that inequality in India is increasing.<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff6600;\"><strong><u>Global Index<\/u><\/strong>. The Gini coefficient for the entire world has been estimated by various parties to be between 0.61 and 0.68. The Gini coefficient saw sustained growth during the 19th and 20th centuries. In 1820, the global Gini coefficient was 0.50, and in 1980 and 1992, the figure was 0.657. \u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\"><strong><u>Analysis.<\/u><\/strong><\/span><\/p>\n<ul>\n<li style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\"><strong>Nordic and Central Eastern European<\/strong> countries dominate this list, claiming seven of the top 10 slots.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Inequality is generally lower in <strong>Europe<\/strong> than elsewhere in the world.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">The <strong>United States<\/strong> has a Gini coefficient of 41.1. In 2015, the top 1% of earners in the United States averaged 40 times more income than the bottom 90%. In the U.S., poverty is a growing issue, where an estimated 12.3-17.8 percent below the poverty level (see Poverty Rate by Country). Many of these low-wage workers live paycheck-to-paycheck and have no sick days, pension, or health insurance.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Some of the world&#8217;s poorest countries (Central African Republic) have some of the world&#8217;s highest Gini coefficients (61.3), while many of the wealthiest (Denmark) have some of the lowest (28.8).<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #ff0000;\"><strong><u>Pandemic Effect<\/u><\/strong>. According to World Bank&#8217;s Poverty and Shared Prosperity 2020 report, the Gini coefficient increases about 1.5 points in the five years following major epidemics, such as H1N1 (2009), Ebola (2014), and Zika (2016). While the effects of the COVID-19 pandemic are still being calculated, early estimates predicted an increase in Gini coefficient of 1.2-1.9 percentage points per year for 2020 and 2021, signalling an increase in income inequality.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #800080;\"><strong><u>Interesting Aphorism<\/u><\/strong><\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #800080;\">&#8220;A rising tide lifts all boats&#8221;<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #800080;\">This is associated with the idea that an improved economy will benefit all participants and that economic policy, particularly government economic policy, should therefore focus on broad economic efforts.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #993300;\"><strong><u>Other Interesting Ones<\/u><\/strong><\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #993300;\">\u201cWhat serves one, serves all\u201d.<\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #993300;\">\u201cWhat disserves one, disserves all\u201d.<\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #993300;\">\u201cAll for one and one for all\u201d.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\"><strong><u>Question<\/u><\/strong><\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #008000;\">Are India\u2019s policies pro rich?<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #800000;\"><u>Suggestions and value additions are most welcome<\/u><\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; color: #000080;\">For regular updates, please register here<\/span><\/p>\n<blockquote class=\"wp-embedded-content\" data-secret=\"MKRbHRicXi\"><p><a href=\"https:\/\/55nda.com\/blogs\/anil-khosla\/subscribe\/\">Subscribe<\/a><\/p><\/blockquote>\n<p><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;Subscribe&#8221; &#8212; Air Marshal&#039;s Perspective\" src=\"https:\/\/55nda.com\/blogs\/anil-khosla\/subscribe\/embed\/#?secret=vy4tqhHhn8#?secret=MKRbHRicXi\" data-secret=\"MKRbHRicXi\" width=\"525\" height=\"296\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\"><u>\u00a0<\/u><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\"><u>References<\/u><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Gini_coefficient\">https:\/\/en.wikipedia.org\/wiki\/Gini_coefficient<\/a><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\"><a href=\"https:\/\/www.investopedia.com\/terms\/g\/gini-index.asp\">https:\/\/www.investopedia.com\/terms\/g\/gini-index.asp<\/a><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\"><a href=\"https:\/\/corporatefinanceinstitute.com\/resources\/knowledge\/economics\/gini-coefficient\/\">https:\/\/corporatefinanceinstitute.com\/resources\/knowledge\/economics\/gini-coefficient\/<\/a><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">https:\/\/worldpopulationreview.com\/country-rankings\/gini-coefficient-by-country<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pic Courtesy: Businessline &nbsp; Italian statistician Corrado Gini, developed the Gini coefficient in 1912. It ranges from 0 to 1, but is often written as a percentage. &nbsp; Defnition. The Gini coefficient (also known as Gini index or Gini ratio) is one of the most frequently used statistical measure of economic inequality in a population. &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/55nda.com\/blogs\/anil-khosla\/2021\/10\/28\/learnt-something-new-gini-index\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;217: Learnt Something New: GINI INDEX&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19,68,15,83,87,1],"tags":[219,220,221,222],"class_list":["post-4423","post","type-post","status-publish","format-standard","hentry","category-article","category-geo-politics","category-leadership","category-management","category-motivation","category-uncategorized","tag-economics","tag-gini-index","tag-inequality","tag-policies"],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/posts\/4423","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/comments?post=4423"}],"version-history":[{"count":9,"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/posts\/4423\/revisions"}],"predecessor-version":[{"id":8726,"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/posts\/4423\/revisions\/8726"}],"wp:attachment":[{"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/media?parent=4423"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/categories?post=4423"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/55nda.com\/blogs\/anil-khosla\/wp-json\/wp\/v2\/tags?post=4423"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}